The study, led by Julia Caton of Northwell Health and colleagues at Stanford School of Medicine, surveyed internal medicine residents, hospitalist faculty, and advanced practice providers at two large academic medical centers between April and September 2025. The researchers combined a traditional attitude survey with a knowledge test, asking participants to spot stigmatizing terms embedded in realistic snippets of clinical documentation. In total, 82 faculty and advanced practice providers responded, a 52 percent response rate, along with 63 residents, a 21 percent response rate. Because no validated instrument existed for this emerging field, the team built their survey from scratch, refining it through cognitive interviews designed to ensure that respondents at both institutions interpreted each question the same way.

The results expose a profound gap between intention and ability. Ninety-one percent of faculty and advanced practice providers and 92 percent of residents reported noticing stigmatizing language when reading clinical documentation. Roughly nine in ten said they considered how their own word choices might bias other clinicians toward or against a patient, and large majorities also considered the impact on patients and families who might read the notes. Yet when asked how confident they were that their documentation consistently avoided stigmatizing language, only 10 percent of faculty and advanced practice providers and 24 percent of residents reported being very or extremely confident. The clinicians knew the problem existed and believed it mattered, but they did not trust themselves to solve it.

The knowledge test made the scale of that distrust concrete. Participants were asked to identify 11 stigmatizing terms hidden across five documentation excerpts, with the terms selected through a literature review to capture a range of stigmatizing sentiments. Only 4 percent of faculty and advanced practice providers and 3 percent of residents correctly identified all 11. Mean scores were nearly identical between the two groups, with faculty and providers averaging 61 percent correct and residents averaging 59 percent, a difference that was not statistically significant. Experience, in other words, conferred no advantage. Senior attending physicians performed no better than first-year trainees at recognizing language that their own profession’s literature has repeatedly linked to worse care.

Recognition varied dramatically from term to term, and that variation may be the study’s most instructive finding. Terms such as non-compliant and claims were widely recognized as stigmatizing, while denies and the use of scare quotes around patient statements were far less frequently flagged. This pattern suggests that many clinicians have absorbed a short list of forbidden buzzwords without internalizing the underlying principles of patient-centered writing that would generalize to unfamiliar contexts. Education that simply teaches clinicians which words to avoid, the authors argue, will fail; effective training must convey the reasoning behind patient-centered language so that clinicians can navigate novel situations on their own.

The downstream consequences of stigmatizing documentation are not hypothetical. A 2018 study found that clinicians exposed to biased clinical vignettes developed more negative attitudes toward patients and became less willing to prescribe adequate pain management. More recently, researchers demonstrated that biased language used during verbal handoffs impaired clinical recall among medical students and residents and was associated with decreased expressions of empathy. Multiple studies have shown that stigmatizing language appears more frequently in the charts of Black patients, women, patients with substance use disorders, and patients with public insurance, raising the possibility that documentation practices actively perpetuate existing healthcare disparities. The medical record, once written, becomes a durable transmission channel for bias, read by every subsequent clinician who touches the case.

Open notes have raised the stakes considerably. Under the 21st Century Cures Act, patients in the United States can read their clinical notes immediately, and a recent study found that 10.5 percent of patients reported feeling offended or judged by something they read in a clinician’s note. A note is no longer a private communication between professionals; it is a document the patient may read within hours, one that can erode trust precisely when trust is most needed for treatment to succeed. The researchers note that this shift transforms documentation word choice from a stylistic quibble into a core clinical competency, one that the Accreditation Council for Graduate Medical Education implicitly recognizes through its Patient- and Family-Centered Communication milestone.

Faculty behavior adds another layer to the problem. Seventy-one percent of faculty said that avoiding stigmatizing language was very or extremely important for trainees, yet only 17 percent reported often or always providing feedback when they noticed stigmatizing language in resident notes. The most commonly cited barrier was lack of time, selected by 66 percent of faculty, followed by lack of prior training in giving feedback on biased language, cited by 29 percent, and lack of prioritization, cited by 26 percent. Documentation practices have traditionally been learned implicitly, through observation and the internalization of unspoken norms, rather than through explicit instruction. If supervisors rarely correct biased language due to time pressure and their own uncertainty, harmful habits pass unchallenged from one generation of clinicians to the next.

The study’s free-text responses revealed genuine tensions that any intervention must confront. Respondents worried about over-policing language and suppressing clinically meaningful information; a blanket prohibition on documenting that a patient refused a treatment, for example, could obscure safety-relevant events. Others pointed to conflicts with standardized terminology: terms such as obesity carry specific ICD-10 codes, and substituting alternative phrasing without guidance could affect reimbursement, risk adjustment, and disease capture in administrative datasets. Documentation simultaneously serves as a communication tool, a legal record, a billing instrument, and a quality measurement input, and optimizing language for one function can create friction in another. The authors argue that education must therefore frame patient-centered writing not as word prohibition but as a skill for achieving accuracy, respect, and clinical utility simultaneously, delivered with psychological safety and acknowledgment of legitimate gray zones such as direct quotations.

The findings arrive at a moment of technological inflection. Ambient listening technologies and large language model-assisted note generation are rapidly entering clinical workflows, and if these tools are trained on existing clinical notes, they risk encoding and perpetuating the very stigmatizing patterns that educators are trying to eliminate. The researchers have begun piloting microlearning modules for faculty and residents, developed an infographic for broader dissemination, and are pursuing electronic health record integration initiatives, including revised templates and automated flags that suggest alternatives without adding to faculty workload. Their data suggest the cultural groundwork is already laid: clinicians overwhelmingly agree that language matters. What remains is to build the skills, the feedback systems, and the technological safeguards that turn that agreement into notes that inform without harming, and that treat every patient reading their own record with the respect the profession claims to owe them.

Subject of Research: Clinician knowledge and practices regarding stigmatizing language in clinical documentation

Article Title: Hospital-Based Clinicians’ Knowledge and Practices Regarding Stigmatizing Language in Clinical Documentation: A Multicenter Survey

Article References: Caton, J., Sun, B., Steele, N., Santiago, C., Antara, F., Hom, J., & Dougherty, R. (2026). Hospital-Based Clinicians’ Knowledge and Practices Regarding Stigmatizing Language in Clinical Documentation: A Multicenter Survey. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10803-x

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10803-x

Keywords: stigmatizing language, clinical documentation, electronic health records, medical education, patient-centered language, healthcare disparities, open notes, internal medicine, medical bias, clinical notes, faculty development, survey research

The study, published in the Journal of General Internal Medicine, was led by Aubrey Samost-Williams of McGovern Medical School at the University of Texas Health Science Center at Houston, together with a multidisciplinary team spanning team science, anthropology, patient safety, and resilience engineering. The stakes are high: patients with a non-English language preference suffer harmful medical errors at higher rates than English-speaking patients, and those who experience diagnostic errors report more difficulty understanding follow-up instructions and more trouble finding interpreters when they need them. Language barriers are associated with disparities in clinical testing, delayed or missed diagnoses, and unplanned hospital readmissions.

To understand what interpreters actually contribute to safety, the team conducted three virtual focus groups with 17 current or former certified medical interpreters recruited from a large company providing interpretation services at more than 30,000 sites across the United States, Canada, and the United Kingdom. The focus group participants were a seasoned group, with between 5 and 24 years of experience, all fluent in English and Spanish, and all experienced with in-person, video remote, and phone interpretation. Five additional former interpreters reviewed the findings and checked that the researchers’ interpretations matched their lived experience. The analysis followed COREQ qualitative research guidelines and was approved by an institutional review board.

The analytical framework came from an unexpected corner of safety science: resilience engineering. Erik Hollnagel’s definition of a resilient healthcare system describes one that can adjust its functioning before, during, or after disturbances so that it sustains required performance under both expected and unexpected conditions. Hollnagel identifies four resilience potentials—the potential to respond, to monitor, to learn, and to anticipate. Rather than asking interpreters simply what their job involves, the researchers asked them to describe their experiences during ambulatory diagnostic visits for new or worsening symptoms, then mapped what they heard onto these four potentials.

The results revealed eleven behaviors clustered within the four potentials. Under the potential to respond, interpreters described managing the flow of communication during appointments, using verbal and nonverbal cues to keep patients and clinicians speaking in short phrases that allow more accurate interpretation. They described strengthening the patient’s voice, ensuring that tone and emotion survived the crossing between languages, and even mirroring a patient’s hesitancy in their own delivery when they sensed the patient was holding something back. They saw their role as extending from the moment a patient arrives until the moment they leave, helping patients schedule follow-up appointments and understand next steps. Some even described stepping in when they overheard inaccurate machine-generated Spanish drifting out of a clinic room they were merely walking past.

That last detail is a striking one, because it shows interpreters already acting as human quality-control agents for the very technologies meant to replace them. The study also found that interpreters monitor three things continuously during an encounter: the patient’s emotions and understanding, the dynamics of the clinical team, and the impact of technology on communication quality. Interpreters noted that patients often tell the clinician they have no questions, only to turn to the interpreter afterward to ask about a clinical detail—a disconnect that a word-for-word translation tool would never flag. Interpreters also reported miscommunications stemming directly from newer AI translation tools, and vulnerabilities in video-based interpretation such as poor connections and badly placed screens.

The potential to learn emerged from two sources. Interpreters frequently share a cultural background with the patient even when the clinician does not, positioning them to notice when a cultural misunderstanding could derail the diagnostic process. They described extracting sensitive information a patient would not otherwise disclose and navigating culturally mismatched diagnostic tests that could have profoundly affected the outcome. Over time, they also grew more confident speaking up and advocating for patients within the boundaries of company policies and national interpreter standards of practice.

The potential to anticipate proved perhaps the most sophisticated. Interpreters used cultural knowledge to predict which patients might not return for follow-up testing. In some cultures, they explained, medicine is viewed as infallible—so if symptoms persist after a first appointment, the patient assumes the fault must be their own. By surfacing that belief to the clinical team, an interpreter could prompt the clinician to address the concern preemptively, before it caused a patient to disappear from follow-up. Interpreters also proposed system-level improvements, such as formal guidelines for when virtual versus in-person interpretation is appropriate, and gender-matched interpreters for sensitive appointments in urology, gynecology, or mental health.

Crucially, the researchers found that these potentials do not operate in isolation. Monitoring behaviors feed responding behaviors: noticing a patient’s confusion allows the interpreter to intervene before a miscommunication hardens into a diagnostic error. Learning feeds anticipating: cultural knowledge gained over years lets an interpreter predict which patients need closer safety monitoring. This interlocking web of perception, judgment, and action is precisely what current AI interpretation tools lack. Those tools focus on rendering the words being exchanged, in written or spoken form, and do not account for the cultural brokering, emotional surveillance, team monitoring, and threat anticipation that human interpreters perform as a matter of course.

The implications for the healthcare industry are uncomfortable but clear. Interpreters are a finite and expensive resource, and institutions are understandably eager to swap them for cheap, always-available AI systems. But the study warns that measuring an AI tool purely by language accuracy threshold would miss the safety functions that human interpreters quietly provide. The authors suggest two paths forward. One is to design AI tools that integrate additional data sources, such as video or electronic health record data, to flag when a patient is at risk of misunderstanding or when cultural differences may be relevant. The other is a model of AI as teammate, in which AI handles raw language conversion while a human interpreter supervises and takes on the broader advocate and navigator role. The researchers also identified barriers on the human side: medical hierarchies can make it hard for an interpreter to challenge a clinician, and interpreters often noticed safety threats—poor team dynamics, patients unlikely to return—without feeling empowered to act. Short pre-appointment briefings, in which clinicians explicitly invite interpreters to voice safety concerns, emerged as a simple, powerful remedy. The study’s limitations are real: it captures only interpreters’ self-reported experiences, not the perspectives of patients or clinicians, and future work will need to test AI tools against human interpreters in real-world settings. But the core message is already actionable. As hospitals race to deploy voice-to-voice machine translation and even real-time in-ear interpretation devices, the quiet safety work of human interpreters—responding, monitoring, learning, and anticipating—must be designed into the workflow, or the resilience that protects millions of patients will simply vanish with the interpreter.

Subject of Research: The safety roles of medical interpreters beyond language translation and their implications for AI interpretation tools

Article Title: The Role of Interpreters in Supporting Resilience and Implications for Artificial Intelligence

Article References: Samost-Williams, A., Wermuth, P., Fernández Castillo, G., Zipkin, R., Hanley, K., Xie, Y., Newton, M. E., Salas, E., Tannenbaum, S., Wiig, S., Thomas, E. J., & Bell, S. K. (2026). The Role of Interpreters in Supporting Resilience and Implications for Artificial Intelligence. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10850-4

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10850-4

Keywords: medical interpreters, patient safety, resilience engineering, diagnostic error, artificial intelligence, language barriers, ambulatory care, qualitative research, healthcare disparities, machine translation, cultural brokering, Hollnagel resilience potentials

That patient, anonymized as “Michelle” in a new perspective article published in the Journal of General Internal Medicine, became a test case for a bold institutional experiment. A team led by hospitalist physicians at the University of California, San Francisco, launched a program embedding a community health worker, a trained health professional drawn from the community she serves, directly into the medicine wards. The worker, anonymized as “Alicia,” was a Black community health worker with experience in health care navigation, hired specifically to help Black patients navigate their hospitalizations, self-advocate, and communicate with clinicians. Over a single year, from November 2022 to October 2023, she supported 162 Black patients on the medicine wards, with the goal of improving patient experience, communication, and quality of care.

The rationale for the program rests on a substantial body of evidence documenting how anti-Black racism operates at both interpersonal and structural levels within US health care. Interpersonal racism, discriminatory interactions between individuals based on race-related assumptions, damages trust and impedes communication. Studies have shown that physicians engage in less patient-centered communication and display more negative affect with Black patients than with others. Two particularly well-documented manifestations involve pain: false beliefs that Black patients have higher pain tolerance and are more likely to be opioid-seeking. The consequences are measurable. Black patients are less likely to receive primary care pain screenings or opioid analgesics in emergency departments, even when presenting with the same conditions as non-Black patients. They are also less likely to receive physical therapy or surgery for pain management.

Structural racism extends far beyond individual encounters. Black people in the United States are systematically disadvantaged by inequities in health care, housing, education, and the criminal justice system, rooted in historic injustices that persist today. Even Black patients with high socioeconomic status and education face persistent barriers to care and health disparities. These structural forces produce earlier multimorbidity and mortality and a greater chronic disease burden. The authors note that Michelle’s difficulty refilling her pain medications reflects wider trends: Black patients on opioid analgesics are more likely to face restricted early refills, urine testing requirements, and lowered dosages, despite pain medication misuse being least common among Black patients.

These structural harms produce predictable downstream effects on trust and communication. Patients who have previously experienced racism in health care settings remain on higher alert for future racist encounters and may reasonably ascribe new challenges to racism regardless of their immediate cause. Michelle’s history of mistreatment, including wrongful diagnoses and an overdose from overprescribed medication, led her to view health care institutions as untrustworthy, which in turn complicated every interaction with her care team. The authors argue that while clinician compassion matters, the positive intentions of individuals are insufficient to overcome structural injustices. Institutions need interventions that operate at the level of the system itself.

For Michelle, the Health Advocate’s role was concrete and practical. Alicia attended care team meetings, listened, took notes, asked questions, and added context about Michelle’s preferences and goals. She validated Michelle’s frustrations, helped synthesize complex medical information, and brainstormed questions to ask physicians. She also helped manage expectations, reminding Michelle that surgery might not be possible and counseling her to stay focused on her core goals of increased mobility and pain control. Crucially, Alicia met with Michelle’s physicians separately, helping them understand Michelle’s perspective and relaying her concern about being perceived as non-compliant if she declined a proposed analgesic regimen she feared she could not refill. Michelle found the support so valuable that she requested no physician speak to her without Alicia present.

The program’s design drew on established models of cultural mediation and community-based advocacy, which have succeeded in reducing barriers to quality care for minoritized ethnic populations. Physician leadership recruited a Community Advisory Board of Black community members with patient or caregiving experience, which met monthly with Alicia and program leadership to advise on patient needs. The program used a patient-centered, participatory approach in which community members were active collaborators co-creating goals and outcomes, and early cases were discussed with leadership through a preceptorship model. Demand quickly exceeded capacity: patients expressed widespread appreciation, readmitted patients sought Alicia out immediately, and clinicians requested her support for additional patients, forcing her to prioritize the most urgent cases.

The evidence base for community health workers more broadly is encouraging. Because they share identities with the populations they serve, they are uniquely positioned to advocate for patients historically marginalized in health care. Randomized trials have shown that community health worker support improves patient-reported quality of care, satisfaction, and mental health, while benefiting health systems through reduced hospitalizations and shorter lengths of stay. By increasing trust, strengthening communication, promoting care access, and improving outcomes, the authors argue, these workers can address the downstream effects of structural racism that no individual clinician can dismantle alone.

Yet the program’s challenges were as instructive as its successes. There were no clear guidelines for integrating the role into the hospital, and although the Centers for Medicare and Medicaid Services and California’s CalAIM initiative have since published guidance, discrepancies remain and uncertainty persists about how best to incorporate community health workers. The team faced coordination difficulties with care teams, concerns that the role was redundant, and the absence of a clear department to house it. Sustainable financing proved equally difficult: a year-long internal grant protected faculty time and the health system funded the salary, but securing longer-term support was hard, even though the services were billable under Medicare, Medi-Cal, and commercial insurance.

The deepest challenges reflect the complexity of racism itself. The authors observed that attempts to minimize structural racism can inadvertently worsen interpersonal racism, for example if clinicians wrongly infer that community health workers are needed because Black patients are difficult to communicate with, or redirect racist comments toward the workers themselves. Community health workers, who share marginalized identities with their patients, are vulnerable to the same harms, along with moral distress and burnout. The team protected Alicia by rapidly involving leadership in difficult cases and escalating as needed, and they recommend hiring cohorts of workers within their own departments to build peer support, alongside clinician education and anti-racism training. They also flag a final concern: patients could become dependent on workers to speak for them, which the program countered by focusing on self-efficacy and empowering patients to advocate for themselves. If fully embraced and supported, the authors conclude, community health workers can help health systems deliver high-quality, anti-racist care to patients like Michelle, who have for too long been harmed by the very institutions meant to heal them.

Subject of Research: Community health worker integration to address structural racism and care inequities among hospitalized Black patients

Article Title: The Promise of Community Health Workers for Addressing Structural Drivers of Inequities Among Hospitalized Patients

Article References: Axelrod, J. K., Weiss Goitiandia, S., Brooks-Smith-Lowe, S., Sankaran, S., Shahram, Y., Oreper, S., Arrington, R., Burt, H., Garrison, X., Jr., Jones-Taplin, J., Loggins-Miller, I., John, M., & Dzeng, E. (2026). The Promise of Community Health Workers for Addressing Structural Drivers of Inequities Among Hospitalized Patients. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10872-y

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10872-y

Keywords: community health workers, structural racism, health disparities, hospital medicine, patient advocacy, health communication, pain management, health equity, patient trust, hospitalization, anti-racism, health care financing

The course is a partnership between the Eastern Association for the Surgery of Trauma and a team of communication experts. Now in its sixth year, the program is delivered entirely online across five weekly modules using Zoom technology. Each session concentrates on a single, distinct communication skill, and every class includes one hour of deliberate skills practice with professional actors, facilitated by a physician. That structure reflects a growing consensus in medical education that communication is not a personality trait students either possess or lack, but a clinical skill that can be explicitly taught, rehearsed, observed, and refined, much like suturing or operative technique.

The scale of the collaboration is notable. Twenty-four students and ten faculty members drawn from seventeen medical schools in Saudi Arabia and the United States participated in the course, supported by nineteen simulated patient actors. The actors, many of them former patients, portray individuals in clinically realistic scenarios, allowing students to conduct medical interviews that feel authentic without any risk to real patients. Physician facilitators then guide debriefing sessions in which learners dissect what worked, what faltered, and how the encounter might have felt from the patient’s perspective. This combination of simulation, immediate feedback, and physician mentorship mirrors the deliberate-practice model that has transformed training in surgery and procedural medicine.

To evaluate the course’s impact, the research team conducted, recorded, and transcribed three focus groups designed to elicit students’ reflections on the class and its influence on their patient-centered communication. Twelve students, including both Saudi and US-based participants, took part in the focus groups. The researchers then applied thematic analysis, a qualitative method in which coded segments of transcript data are iteratively grouped into broader patterns, to identify recurring themes across the discussions. The analysis surfaced three broad domains: communication skills, cultural competency, and professionalism.

Across the focus groups, participants consistently reported increased self-confidence in executing important patient-centered medical interviews. Patient-centered communication, a framework in which the clinician elicits the patient’s own concerns, values, and expectations rather than simply extracting a symptom checklist, has been repeatedly associated in the literature with better adherence, improved health outcomes, and reduced disparities in care. Yet studies of medical training have long documented a curricular disconnect: students learn communication frameworks in the classroom but struggle to apply them during clinical clerkships, where observation and structured feedback are often scarce. The international course appears to narrow that gap, with students specifically appreciating the clinical relevance of what they learned in the virtual classroom and describing opportunities to apply those concepts in practice.

The cross-cultural dimension of the course proved to be one of its most powerful elements. Students reflected on the influence of cultural context in areas such as gender roles and family authority, recognizing that a question or behavior that seems neutral in one cultural setting may carry very different weight in another. In some families, for example, medical decisions may be shaped by senior family members rather than the patient alone, and students learned to navigate these dynamics respectfully rather than dismissing them as obstacles. By pairing learners from two distinct healthcare cultures, the course exposed students to varied cultural expectations and practices firsthand, turning the virtual classroom itself into a living exercise in intercultural exchange.

The program also functioned as an early proving ground for medical professionalism. Participants demonstrated positive attributes of professionalism during class participation, an outcome the authors consider significant because professionalism, like communication, is increasingly treated as a competency to be cultivated and assessed throughout medical education rather than absorbed by osmosis. Prior research has explored peer evaluation and self-evaluation as tools for assessing professionalism in early training, and the course’s emphasis on respectful, sensitive responses to patients from diverse cultures gave students a concrete stage on which to practice those attributes under observation.

The study’s findings arrive against a well-documented backdrop. Reviews of cultural competency in medical education have concluded that such training is essential for minimizing disparities in healthcare access and quality, and a Cochrane systematic review of interventions to improve medical students’ interpersonal communication in consultations underscores both the importance and the difficulty of doing this well. Questions have also been raised about whether patient-centered cultural competency training can be effective in non-Western countries, making a course that genuinely bridges US and Saudi institutions particularly relevant. By operating virtually, the program sidesteps the cost and logistics of international travel, suggesting a scalable model that other specialties and regions could adapt.

The researchers are careful about the limits of their evidence. The evaluation rests on qualitative focus group data from twelve students, which can illuminate how learners experienced the course and what they believe changed, but cannot by itself quantify improvements in clinical performance or patient outcomes. Data from the study are available by request, and the authors note that all contributors, including the many actors who portrayed patients, were essential to the program’s success. Still, the consistency of the themes across both Saudi and US participants lends weight to the conclusion that the course prepared students to respond respectfully and sensitively to patients from diverse cultures.

For a specialty like surgery, where time-pressured encounters and high-stakes decisions amplify the consequences of miscommunication, the implications are striking. If a five-week virtual course built on simulation, physician facilitation, and international peer exchange can measurably boost students’ confidence and cultural awareness, medical schools may have a low-cost, exportable blueprint for embedding multicultural competence into undergraduate training. As the course enters future iterations, the challenge will be to track whether these self-reported gains translate into durable changes in behavior at the bedside, and ultimately into more equitable care for the increasingly diverse populations that modern medicine serves.

Subject of Research: A virtual international communication skills course for US and Saudi medical students and its effects on cultural competency and patient-centered care

Article Title: Multicultural competence education improves care: an international communication course for medical students

Article References: Newcomb, A. B., Mashbari, H., Abbaker, R., Stidham, M., Elhadi, K., Muzaiiadi, S., March, E., Appelbaum, R. D., Wells, K. M., & Mohess, D. (2026). Multicultural competence education improves care: an international communication course for medical students. Global Surgical Education – Journal of the Association for Surgical Education, 5(1), Article 133. https://doi.org/10.1007/s44186-026-00538-y

Image Credits: AI Generated

DOI: 10.1007/s44186-026-00538-y

Keywords: medical education, cultural competency, communication skills, patient-centered care, virtual learning, simulation, Saudi Arabia, United States, surgical education, professionalism, healthcare disparities, qualitative research

The review, led by Ana Cardeña-Gutiérrez of Hospital Universitario Nuestra Señora de Candelaria in Tenerife, Spain, together with co-first authors Mary Tanay and Paula Rodríguez-Hernáez and an international team spanning the United Kingdom, the United States, Australia, and Mexico, set out to map what is actually known about the supportive care needs of immigrant adolescent and young adult cancer survivors, a population the field abbreviates as AYA. The team followed the established JBI methodology for scoping reviews and reported their process according to the PRISMA-ScR guidelines, searching major databases including PubMed and Embase for peer-reviewed studies focused on foreign-born or immigrant AYA survivors and their long-term survivorship experiences.

The headline finding is as stark as it is sobering: only six studies met the inclusion criteria. For a global population that includes large shares of the young adults diagnosed with cancer each year in high-income countries, six studies is not a body of evidence; it is a gap wearing the costume of one. The authors attribute this scarcity to a structural blind spot in oncology research itself. Survivorship frameworks, they conclude, fail to adequately account for the migratory process, and studies routinely conflate immigration status with broad racial and ethnic categories, collapsing a person’s country of birth, language, legal status, and length of residency into a single label that explains very little.

That conflation matters because the barriers the review identifies are not the same as the disparities captured by race and ethnicity variables. Immigrant AYAs, the synthesis found, face a compounding matrix of linguistic, financial, and legal barriers that limit healthcare access. Language discordance between patient and provider degrades the quality of information about late effects and follow-up care. Financial toxicity, already a documented burden for young adult survivors generally, is amplified for those navigating employment, insurance eligibility, or documentation status in a new country. Legal uncertainty, in turn, can make survivors reluctant to engage with institutions at all, producing quiet attrition from the very surveillance programs designed to catch recurrences and treatment complications early.

One of the most conceptually interesting findings concerns the transition from pediatric to adult oncology, a handoff that is notoriously fragile even for patients who share a language and culture with their care teams. For immigrant families, the review highlights a profound disconnect between individualistic Western healthcare models, which center the autonomy of the young patient, and collectivist, family-centered decision-making norms, in which parents and extended kin are expected to share in medical choices. A survivorship system that assumes the 20-year-old should speak alone with the oncologist may inadvertently sideline the family structures that immigrant patients rely on for support, while a system that excludes the family may leave the patient without an advocate in the room. Neither model, the authors suggest, currently flexes to accommodate both.

The review also draws on the broader acculturation literature to describe a paradoxical health trajectory. Post-migration acculturation processes, the authors report, can sometimes erode baseline healthy behaviors, meaning that the dietary patterns, physical activity habits, and social supports that immigrants bring with them may deteriorate as they adopt the risk profiles of their host societies. Layered on top of a cancer diagnosis and its treatment, this erosion can worsen financial toxicity and long-term psychosocial outcomes. The implication is uncomfortable for simplistic narratives: migration itself, independent of race or ethnicity, reshapes cancer risk and survivorship in ways that standard demographic variables never capture.

The methodological critique embedded in the review is likely to resonate far beyond AYA oncology. The authors call for systemic changes in cancer research to capture granular data on nativity, meaning whether a person was born inside or outside the country of care, and on length of residency, which shapes everything from language proficiency to insurance eligibility to familiarity with preventive care. Without those data points, they argue, the disparities affecting immigrant survivors remain statistically hidden, folded into categories where they cannot be detected, measured, or addressed. It is a data problem as much as a clinical one: what is not recorded cannot be acted upon.

The practical implications the authors outline are correspondingly concrete. Culturally responsive survivorship programs, dedicated language services, and family-inclusive patient navigation models are described as essential to prevent care attrition, reduce post-treatment social stigma, and optimize long-term quality of life for immigrant AYA survivors. Patient navigation, in particular, has emerged in recent years as one of the more promising equity interventions in oncology, pairing patients with trained guides who help them traverse scheduling, interpretation, insurance, and follow-up. Extending such models to explicitly include family members, and to account for the legal and financial precarity that migration can entail, would represent a meaningful adaptation of survivorship care to the populations it actually serves.

The stakes are considerable. Adolescents and young adults occupy an awkward position in cancer care, falling between pediatric and adult services and historically underrepresented in clinical trials, a problem documented in reports from cooperative groups showing elevated loss to follow-up among minority and young adult participants. Survivors in this age group face decades of life during which late effects, secondary cancers, and cardiovascular and psychosocial complications can emerge. When an immigrant survivor drops out of follow-up care at 25 because of a language barrier or a documentation fear, the consequences may not surface for another decade, by which point the opportunity for early intervention has passed. The review’s finding that current frameworks fail this population is therefore not an abstract concern about research taxonomy; it is a warning about preventable harm unfolding silently across health systems.

What makes the study notable is its candor about how little is known. A scoping review that ends with six eligible studies is, in effect, a map of an empty continent, and the authors are explicit that the field needs far more research before it can design evidence-based interventions with confidence. Yet the direction of travel is clear from the evidence assembled: the categories oncology has long relied upon to describe inequity are too blunt to see one of its fastest-growing dimensions. As global migration continues to reshape the demographics of every wealthy nation’s cancer population, the question the review poses, beyond race and ethnicity, who is being left out of survivorship care, is one that researchers, clinicians, and policymakers can no longer afford to leave unanswered.

Subject of Research: Supportive care needs and access barriers among immigrant adolescent and young adult cancer survivors

Article Title: Beyond race and ethnicity: a scoping review of supportive care needs and barriers for immigrant AYA cancer survivors

Article References: Cardeña-Gutiérrez, A., Tanay, M., Rodríguez-Hernáez, P., Jiang, C., Hart, N. H., Soto-Perez-de-Celis, E., & Chan, A. (2026). Beyond race and ethnicity: a scoping review of supportive care needs and barriers for immigrant AYA cancer survivors. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-026-02094-2

Image Credits: AI Generated

DOI: 10.1007/s11764-026-02094-2

Keywords: AYA cancer survivors, cancer survivorship, immigrant health, supportive care, healthcare disparities, scoping review, healthcare transition, financial toxicity, acculturation, patient navigation, health equity, oncology

The scale of the problem is considerable. In 2022, an estimated 1,300,196 new cancer cases were reported globally among adolescents and young adults, with an annual incidence of 40.3 per 100,000 individuals. Beyond the immediate medical threat, this group faces a distinctive constellation of age-specific challenges: late effects of treatment, infertility, financial strain and psychosocial disruption to education, career progression, romantic relationships and family planning. Yet the same population also reports positive transformations, including strengthened relationships, personal growth and a greater appreciation for life. Existing conceptual models, the researchers argue, have failed to capture this complexity, largely because they were developed within single countries, narrow age bands or specialised subpopulations.

To build a more culturally sensitive framework, the team at the University of Southampton, working with collaborators including Youth Cancer Europe and the Netherlands Cancer Institute, carried out 52 semi-structured online interviews. Twenty-seven were with young people with lived experience of cancer, diagnosed between the ages of 15 and 36 and drawn from 16 different nationalities; 25 were with healthcare, allied health and other professionals from 12 nationalities, with clinical experience ranging from six months to 34 years. Interviews lasted up to 120 minutes for patients and 30 minutes for professionals, were conducted between April and June 2023, and were analysed thematically using a combination of inductive and deductive coding, following COREQ reporting guidelines and ethical approval from the University of Southampton.

Four major themes emerged from the analysis. The first concerned healthcare delivery, access, quality and navigation. Participants described how differences in the organisation of health services across European settings directly shaped their ability to reach and move through cancer care. Geographic, financial and systemic barriers were recurrent: one young woman recalled finding a surgeon in a hospital 200 kilometres from her hometown, while another described going private because her insurance would not cover treatment, only to confront long waiting lists in the public system. Transitions between paediatric and adult care were a particular flashpoint, with one surgical oncologist explaining that young adults are dropped into an adult system with far more patients and far less individual dedication.

Access to information emerged as a critical mediator of these experiences. One young man diagnosed at 18 noted that his ability to read English gave him access to information that would otherwise have been unavailable in his local language, leaving his haematologist as his only source, one he described as paternalistic and unwilling to explain things. Mental health support was another glaring gap. A consultant oncologist described patients with significant psychological problems who did not meet referral criteria, waited years on waiting lists and were eventually signposted to online resources. The researchers also documented how cultural norms compound these barriers, with young men sometimes avoiding mental health care and young women in small, conservative communities delaying intimate examinations out of shame.

The second theme, economic instability and hardship in the cost of survival, revealed how financial toxicity permeates every stage of care. Participants reported out-of-pocket expenses, coverage gaps for additional medications, and reliance on family savings or community crowdfunding. One woman diagnosed at 36 turned to Facebook fundraising when she realised she could no longer work; an 18-year-old man paid roughly €200 for tests his insurance did not cover, an amount close to an entire salary in his family. Professionals observed that some young adults return to work too early to avoid financial damage, risking deterioration of their health. Even in systems that subsidise treatment, fertility preservation costs frequently fell on patients, and employment discrimination hampered social reintegration after recovery.

The third theme exposed stark inequalities in fertility counselling and preservation. Male patients generally gain rapid access to sperm banking, often same-day, whereas female patients face harvesting procedures that can take four to eight weeks, potentially delaying cancer treatment itself. Several participants learned about preservation options too late, or by accident rather than from a clinician. Long-term storage costs added further inequity, with one man reporting that he must pay every two years to keep frozen sperm. The analysis also noted societal and cultural pressures surrounding parenthood that shape how young survivors approach family planning.

The fourth theme, described as liminal survivorship, captures the precarious in-between state after treatment ends. Many participants found support services withdrawn prematurely; one young man was removed from a charity’s care list while still on maintenance therapy, describing himself as devastated because he needed support more than ever. Others were denied disability-based accommodations at university because they were not officially classified as disabled during recovery. Legal and financial protections proved decisive: in some countries, the so-called Right to be Forgotten allows survivors to obtain mortgages, insurance or adoption rights without their cancer history counting against them, while in others survivors fear they may never secure life insurance or a home loan because of their medical records.

From these themes, the team constructed a conceptual model with four interacting layers. Structural and contextual factors, including healthcare system design, insurance coverage, policies, cultural norms and legal protections, form the outer environment. Mediators such as access to information, social support, financial coverage and system responsiveness determine how those conditions are actually experienced. These give rise to processes, including treatment delays, fragmented care, reliance on family and missed support, which in turn shape individual outcomes spanning mental and physical health, identity, autonomy, relationships, education and work trajectories and trust in healthcare. The researchers argue this cascade explains why two clinically similar patients in different countries can experience radically divergent outcomes.

The model represents a deliberate departure from earlier frameworks. Where previous AYA models, such as Fern and colleagues’ UK-based model for 13 to 25 year olds or Gray and colleagues’ survivorship model drawn from a relatively homogeneous online sample, centred on individual and healthcare-level factors, the new framework situates the young patient within a broader structural and societal environment. Its practical implications are concrete: it will guide the development of a Core Outcome Set for adolescent and young adult cancer care, inform patient-reported outcome and experience measures, and support policy reforms ranging from expanded Right to be Forgotten legislation to standardised fertility preservation reimbursement. The authors acknowledge limitations, including limited ethnic diversity, reliance on English-speaking participants recruited largely through a single charity, and under-representation of brain tumour survivors and some European healthcare systems. They call for testing and refining the model in more diverse populations, but the central message stands: improving outcomes for young people with cancer demands coordinated, multi-level action on the systems and structures surrounding them, not just the tumours within them.

Subject of Research: Development of a conceptual model of cancer care experiences among adolescents and young adults with cancer in Europe

Article Title: A conceptual model of cancer care and lived experiences in adolescents and young adults with cancer: results from the multi-national European STRONG AYA project

Article References: Collaço, N., Sodergren, S., Way, K., Košir, U., Cairns, C., van der Graaf, W., Husson, O., & Darlington, A.-S. (2026). A conceptual model of cancer care and lived experiences in adolescents and young adults with cancer: results from the multi-national European STRONG AYA project. Supportive Care in Cancer, 34(10), Article 1017. https://doi.org/10.1007/s00520-026-11170-3

Image Credits: AI Generated

DOI: 10.1007/s00520-026-11170-3

Keywords: adolescent and young adult cancer, STRONG AYA project, conceptual model, cancer care navigation, fertility preservation, financial toxicity, survivorship, qualitative research, healthcare disparities, Right to be Forgotten, psychosocial support, Europe

The significance of the research lies in the population it centers. Sexual and gender-diverse women in Canada, including those who identify as Two Spirit, lesbian, bisexual, queer, transgender, or otherwise outside cisgender and heterosexual norms, experience documented disparities in health outcomes. These disparities are driven in large part by barriers to accessing care that is both clinically appropriate and culturally affirming. When mainstream healthcare fails these patients, whether through discrimination, lack of provider knowledge, or inflexible service models, community organizations step into the void, delivering services that range from gender-affirming care navigation to mental health support and sexual and reproductive health education. Until now, the requirements for developing and supporting this health promotion capacity among community agencies have remained largely unexamined in the health services literature.

To fill that gap, the research team conducted a qualitative descriptive study built around virtual semi-structured interviews with ten community-based staff members drawn from six Canadian provinces. Participants were purposively recruited through 2SLGBTQ+ networks, social media, and community outreach, a strategy designed to capture the perspectives of those directly embedded in service delivery rather than institutional spokespersons. The cohort reflected the diversity of roles that sustain these organizations: five health promoters, two executive directors, one therapist, one nurse practitioner, and one program coordinator, working at various career stages. Data collection took place between August and October 2024 through Zoom interviews that were audio-recorded and transcribed verbatim.

The analytical approach was methodologically rigorous. The team used NVivo 15 software to support systematic coding of the transcripts and developed themes through an iterative, consensus-driven process consistent with inductive thematic analysis. The study followed the Standards for Reporting Qualitative Research, and ethical approval was granted by the Toronto Metropolitan University Research Ethics Board under reference 2023-472, with online electronic informed consent obtained from all participants prior to participation. This level of procedural transparency matters, because qualitative findings in a politically sensitive field are only as credible as the methods behind them, and this study anchors its conclusions in a clearly documented and reproducible analytic chain.

Three overarching themes emerged from the interviews. The first concerned participants’ experiences delivering care, and it revealed the breadth of services these organizations provide. Staff emphasized the importance of delivering essential health services that include gender-affirming care, mental health support, and sexual and reproductive health education, all framed within culturally and linguistically appropriate models. In practice, this means adapting materials and encounters to the identities, languages, and lived realities of the women they serve, rather than expecting patients to conform to standardized clinical scripts. The findings underscore that cultural and linguistic appropriateness is not an optional enhancement but a core precondition for these services to work at all.

The second theme mapped the structural architecture that makes such service delivery possible. Participants identified leadership development, inter-agency partnerships, and attention to the social determinants of health as crucial components of organizational capacity. In other words, community organizations do not operate as isolated islands of care. They depend on leaders who can shepherd teams through uncertainty, on formal and informal partnerships with other agencies that extend their reach, and on programs that address the housing, income, and social conditions that shape health long before anyone walks through a clinic door. This systems-level view challenges the common caricature of community organizations as makeshift substitutes for real healthcare and reframes them as integrated nodes in a wider health promotion network.

The third theme catalogued the barriers, and it is here that the study is most sobering. Participants described inadequate and unstable funding as a chronic condition that undermines planning, retention, and service continuity. They reported shortages of trained providers, a lack of formal integration with the broader healthcare system, information gaps, language barriers, long healthcare waitlists, and persistent discrimination against the population they serve. Each of these barriers interacts with the others: unstable funding worsens workforce shortages, weak integration leaves community staff without referral pathways into hospitals and specialized care, and discrimination at the system level drives demand back onto already overstretched community services. The result is a reinforcing loop in which the organizations doing the most for a marginalized population are structurally resourced to do the least.

Against that backdrop, participants did not simply vent frustration; they proposed concrete remedies. They recommended enhancing resources, expanding staffing, strengthening education and training, intensifying advocacy efforts, deepening research engagement, and pursuing inclusive policy development to support organizational capacity. These recommendations collectively constitute a capacity-building agenda. Education and training would professionalize the workforce and improve service quality. Advocacy and policy development would address the upstream legal and institutional conditions that perpetuate inequity. Research engagement would ensure that services evolve on the basis of evidence rather than crisis response. And sustainable resourcing would give organizations the predictability they need to retain skilled staff and plan multi-year programs.

The authors conclude that several key factors may strengthen the health promotion capacity of community-based agencies serving sexual and gender-diverse women, including sustainable funding, workforce development, education, and research infrastructure. Crucially, they caution that future research should examine the broader applicability and effectiveness of these findings across diverse contexts, and they call for prioritizing structural change, intersectional approaches, and community-led solutions. That emphasis on intersectionality is significant, because sexual and gender-diverse women are not a homogeneous group; experiences of care vary by race, language, geography, disability, and socioeconomic status, and capacity-building strategies that ignore those intersecting identities risk reproducing the very exclusions they aim to fix.

The study was funded by the Canadian Institutes for Health Research, received on 11 November 2025, was accepted on 11 September 2026, and published open access on 22 September 2026. Its arrival could not be more timely. As health systems worldwide confront workforce shortages and rising demand for affirming care, the Canadian evidence offers a transferable insight: community-based organizations are not peripheral charities but essential health infrastructure, and the healthcare system’s treatment of sexual and gender-diverse women will depend on whether governments and institutions choose to fund, train, and formally integrate them. The ten staff members interviewed for this study described, in effect, a parallel health system running on commitment and improvisation. Converting that commitment into durable capacity, the research makes clear, is a policy choice that remains to be made.

Subject of Research: Health promotion capacity building in community-based organizations serving sexual and gender-diverse women in Canada.

Article Title: Building health promotion capacity for sexual and gender-diverse women: insights from staff at community-based organizations in Canada

Article References: Building health promotion capacity for sexual and gender-diverse women: insights from staff at community-based organizations in Canada. (n.d.). https://doi.org/10.1186/s12913-026-15624-6

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15624-6

Keywords: 2SLGBTQ+ health, community-based health promotion, sexual and gender-diverse women, health equity, gender-affirming care, capacity building, qualitative research, health services research, social determinants of health, workforce development, Building, health

The research, led by investigators examining hospital-level adoption patterns across the United States, maps the diffusion of AI and robotic technologies through the American hospital system and connects those patterns to longstanding measures of access inequality. Rather than treating innovation as a rising tide that lifts all boats, the study treats each hospital’s adoption decision as the outcome of financial capacity, workforce readiness, regulatory environment, and patient demand. When those variables are mapped geographically, a stark pattern emerges: adoption clusters in large, urban, teaching-affiliated hospitals with high operating margins, while rural and safety-net institutions lag dramatically behind.

The technical logic behind this clustering is straightforward, and the authors unpack it in detail. Deploying a clinical machine learning model is not simply a matter of purchasing software. Hospitals must maintain the digital infrastructure to feed models with clean, standardized electronic health record data; they need data science personnel to validate, calibrate, and monitor algorithms over time; and they require the regulatory and governance frameworks to manage model drift, bias audits, and liability. Robotic surgical platforms add capital costs that can exceed two million dollars per system, plus recurring maintenance contracts and the need for surgeons trained on high procedural volumes. Each of these requirements scales with hospital size and revenue, giving well-resourced institutions a compounding advantage.

The study’s analysis of access inequality draws on the demographic and socioeconomic characteristics of the communities served by adopting and non-adopting hospitals. Patients in regions with early, intensive adoption tend to be wealthier, more likely to hold private insurance, and more likely to live in metropolitan counties with dense specialist networks. By contrast, rural hospitals, which serve roughly one in five Americans, frequently operate on thin or negative margins and cannot justify the capital expenditure or recruit the technical staff that AI-driven medicine demands. The result is a two-tier landscape in which the benefits of predictive analytics, automated diagnostics, and robot-assisted intervention accrue disproportionately to populations that already enjoy superior health outcomes.

What makes the finding more consequential is the mechanism by which early adoption generates future advantage. AI systems improve with data, and hospitals that deploy them early accumulate larger, better-labeled clinical datasets, refine their workflows sooner, and build institutional expertise that late adopters cannot easily replicate. Surgical outcomes for robot-assisted procedures are known to improve with surgeon and team experience, meaning hospitals with early robotic programs simultaneously achieve better results and attract more patients, further increasing volume and revenue. The authors characterize this as a potential cumulative-advantage dynamic, in which technological gaps do not merely persist but widen over time, the healthcare analogue of the winner-take-all economics seen in other data-driven industries.

The study also documents disparities in the types of technology being adopted. General administrative AI, such as scheduling optimization and billing automation, has diffused relatively broadly because its returns are immediate and its technical demands modest. Clinical AI, including diagnostic imaging support and risk prediction models, shows a much steeper socioeconomic gradient. Robotic surgical systems show the steepest gradient of all, concentrated overwhelmingly in high-volume urban centers. This stratification matters because clinical and surgical technologies are where the direct health benefits lie; administrative automation may improve a hospital’s finances without improving a single patient’s outcome.

Policy implications flow directly from the analysis. The authors point out that federal incentive programs, including the multibillion-dollar push toward electronic health records in the 2010s, succeeded partly because they tied payments to adoption, effectively subsidizing the transition. No comparable mechanism currently exists for clinical AI and robotics. Without deliberate intervention, market forces alone will continue to route innovation toward institutions that can afford it, a pattern the study suggests could entrench existing inequalities in mortality, disease detection, and surgical access. Potential remedies discussed include targeted grants and loan programs for rural and safety-net hospitals, shared-service models in which regional networks pool AI infrastructure, and reimbursement structures that reward outcomes rather than technology ownership.

The research also adds a cautionary note to the national conversation about AI in medicine, much of which has focused on algorithmic bias within individual models. A biased model deployed at a single hospital can harm that hospital’s patients, but a deployment gap between hospitals harms entire populations by denying them access to the technology at all. The study frames this second form of inequity, which the authors analyze at the system level rather than the algorithm level, as underexamined in the literature. Fairness auditing of individual models, the work implies, is necessary but not sufficient if the models themselves never reach the communities that need them most.

For clinicians, hospital administrators, and policymakers, the message of the study is that the window for shaping equitable adoption is now. Technological diffusion patterns harden as standards settle, vendor markets mature, and training pipelines consolidate around early adopters. The United States has already lived through versions of this story with MRI machines, positron emission tomography, and minimally invasive surgical platforms, each of which arrived in wealthy urban institutions years before reaching rural America. Whether AI and robotics follow the same trajectory or bend toward broader access depends on choices being made today, in state legislatures, federal agencies, and the boardrooms of hospital systems deciding where their next million-dollar investment will go. The evidence assembled here makes clear that leaving those choices to the market alone carries a predictable cost, and that the cost will be paid by the patients with the least capacity to bear it.

Subject of Research: Adoption of artificial intelligence and robotics in United States hospitals and its relationship to healthcare access inequality

Article Title: Hospital AI and robotics adoption and access inequality in the United States

Article References: Johnson, A., Gefen, D., & Harrison, T. D. (2026). Hospital AI and robotics adoption and access inequality in the United States. Scientific Reports. https://doi.org/10.1038/s41598-026-70027-1

Image Credits: AI Generated

DOI: 10.1038/s41598-026-70027-1

Keywords: hospital AI, medical robotics, healthcare inequality, health disparity, rural hospitals, health policy, clinical AI, surgical robots, digital health, healthcare access, technology diffusion, United States healthcare

The study, led by Moyosoluwa Dele-Dada of Miva Open University with Goddy Osimen of Covenant University and Osezua Ehiyamen of the University of Texas, applies a critical interpretive synthesis to 46 sources drawn from peer-reviewed studies, policy documents, and institutional reports published between 2015 and 2025. Rather than simply cataloguing barriers, the researchers organize their evidence through an analytical framework they call ACCESS-Q, which evaluates six dimensions: access, connectivity and infrastructure, cost and affordability, equity and inclusion, service quality, and systems and governance. This structure allows them to trace precisely where telemedicine’s equity promise breaks down along the chain from network tower to consultation room.

The headline finding is stark. Urban uptake of telemedicine in Nigeria stands at roughly 70 percent, while rural uptake lags at about 50 percent, and approximately 40 percent of attempted rural consultations fail outright because of network disruption. This failure rate is not a marginal inconvenience; it means that for the very populations telemedicine is supposed to reach first, the technology frequently does not work at all. The review points to a critical internet reliability threshold of around 40 percent, below which telehealth services for rural communities become functionally unreliable, a threshold that many rural Nigerian localities fail to meet consistently.

Beneath the connectivity problem lies a deeper pattern of stratification. The synthesis finds that willingness to pay for teleconsultation, digital literacy, and device capability are all patterned by income, education, gender, and age. Older Nigerians, women with lower educational attainment, and low-income households are systematically less able to access, afford, and effectively use digital health services. The paradox is uncomfortable: the populations that telemedicine is intended to serve, those facing the greatest geographic and financial barriers to in-person care, are also the least able to use it consistently. Without corrective policy, digital health risks becoming a premium service layered on top of an already unequal system.

Yet the review is careful not to dismiss the technology. Where telemedicine has been rigorously evaluated in Nigeria, the quality gains are real and substantial. A stepped-wedge trial known as REaCH, published in The Lancet Global Health, tested remote consulting for long-term conditions in primary health care in Nigeria and Tanzania, combining clinician training with mobile data allowances and structured implementation. The trial recorded a four-fold increase in primary care consultations without any loss of safety, demonstrating that when the enabling conditions are deliberately engineered, remote care can dramatically expand service volume without compromising patients.

Mental health care offers a second compelling proof of concept. The HAPPINESS pilot project, which integrated mental health services into primary care in Nigeria using mobile-supported task-shifting approaches, achieved significant reductions in psychiatric symptoms among patients. Task-shifting, the delegation of care to trained non-specialist health workers supported by digital supervision, is particularly well suited to a country with an acute shortage of psychiatrists. These successes share a common feature: they were designed for the realities of low-connectivity environments rather than imported from high-income settings and expected to work as-is.

The systems-level picture, however, is far less encouraging. The review finds that Nigeria’s telemedicine governance remains at a nationally uniform ‘beginner’ level of readiness. There is no dedicated telehealth law establishing standards for licensure, privacy, cross-state practice, or clinical accountability at a distance. More consequentially for patients, there is no provision for telemedicine reimbursement under the National Health Insurance Authority Act, meaning that out-of-pocket payment remains the default financing mechanism for most digital consultations. In a country where catastrophic out-of-pocket health expenditure already pushes households into poverty, expecting the poorest patients to self-fund teleconsultations is a structural barrier that no amount of app design can overcome.

The authors’ central conclusion is that telemedicine’s impact on health equity in Nigeria is conditional rather than automatic. Under the right structural conditions, reliable rural connectivity, inclusive financing, digital literacy programs, and integration with the formal health system, telemedicine can narrow both access and quality gaps. In their absence, it currently reinforces them, concentrating its benefits among digitally engaged, urban, and relatively affluent patients while leaving the underserved behind. This framing rejects both techno-optimism and fatalism; the technology is neither savior nor sham, but a tool whose equity outcomes depend entirely on the policy environment built around it.

The policy implications are correspondingly specific. The review points toward simultaneous, coordinated investment across four fronts: rural connectivity infrastructure that treats bandwidth as a health determinant; inclusive financing mechanisms that embed telemedicine within insurance coverage rather than leaving it to market forces; digital literacy initiatives targeted at women, older adults, and low-income communities; and regulatory integration that gives telehealth a firm legal footing within the national health system. Pursuing any one of these in isolation, the evidence suggests, will produce the uneven, urban-skewed adoption pattern the review documents.

For global health observers, Nigeria’s experience carries lessons well beyond its borders. Across sub-Saharan Africa and much of South Asia, governments are racing to scale digital health in the wake of the COVID-19 pandemic, often with insufficient attention to who is actually being reached. The Nigerian synthesis offers a methodological template, the ACCESS-Q framework, for interrogating whether digital health investments are advancing equity or merely digitizing existing disparities. As telemedicine markets across the continent expand rapidly, the question is no longer whether remote care can work in low-resource settings, the trials have answered that, but whether political systems will build the infrastructure, financing, and regulation that allow it to work for everyone.

Subject of Research: The impact of telemedicine and the digital divide on health equity in Nigeria

Article Title: Impact of telemedicine and digital divide on health equity: a critical policy and systems review of access and quality of health care in Nigeria

Article References: Dele-Dada, M., Osimen, G., & Ehiyamen, O. (2026). Impact of telemedicine and digital divide on health equity: a critical policy and systems review of access and quality of health care in Nigeria. SN Social Sciences, 6(9), Article 426. https://doi.org/10.1007/s43545-026-01709-w

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01709-w

Keywords: telemedicine, digital divide, health equity, Nigeria, digital health, healthcare access, health policy, rural health, universal health coverage, health systems, telehealth governance, digital literacy

The study, conducted by Seraina Petra Lerch and Clara Stille of the Department of Medical Psychology at University Medicine Greifswald in Germany, systematically examined 158 studies drawn from peer-reviewed empirical, theoretical, and conceptual work in English. The researchers searched five major databases—PubMed, CINAHL, Web of Science, Google Scholar, and ProQuest for dissertations—without year restrictions, supplementing their database searches with citation tracking. Importantly, the team preregistered their protocol on the Open Science Framework, a step that strengthens transparency by fixing the review’s methods in advance and guarding against selective reporting.

The central finding is one of profound terminological inconsistency. Terms such as “invalidation,” “not being taken seriously,” and “gaslighting” are used interchangeably, inconsistently, or with contradictory definitions across the literature. Medical gaslighting, in particular, has migrated from its origins in popular culture into academic writing without a stable scientific definition, while the broader construct of invalidation is sometimes framed as an interpersonal act, sometimes as a patient’s subjective perception, and sometimes as a systemic property of healthcare institutions. This definitional muddle, the authors argue, makes it difficult to compare studies, accumulate knowledge, or develop reliable measurement tools.

To bring order to this conceptual landscape, the researchers applied thematic analysis to the extracted data, a qualitative method that identifies recurring patterns and organizes them into overarching themes. What emerged was a portrait of medical invalidation as a fundamentally multifactorial phenomenon. The synthesis identified several distinct clusters of contributing causes: diagnostic challenges inherent in medicine itself, such as diseases that are difficult to detect or that present atypically; structural and societal factors embedded in healthcare systems, including time pressure, fragmentation of care, and inequities in how symptoms are weighted across demographic groups; characteristics of providers and patients that shape clinical encounters; stigma, both illness-related and social; misattribution of symptoms to psychological causes; interactional dynamics within the consultation room; gaps in the academic knowledge base itself; and the biological complexity of the underlying diseases.

This last cluster deserves particular attention. Many of the conditions most associated with invalidation in the reviewed literature—chronic pain syndromes, functional disorders, and other medically unexplained symptoms—are precisely those that resist straightforward objective measurement. When a patient’s suffering cannot be confirmed by a laboratory value or an imaging finding, the interaction between diagnostic uncertainty and clinician skepticism can slide into dismissal. The review suggests that invalidation is therefore not simply a failure of individual empathy but a predictable byproduct of how modern medicine handles uncertainty, incentivized by systems that reward rapid diagnostic closure.

The consequences documented across the 158 studies are wide-ranging and troubling. The thematic synthesis mapped harms across six domains: behavioural, emotional, cognitive, physical, relational, and systemic. Emotionally, invalidated patients report distress, diminished self-trust, and reluctance to seek further care. Cognitively, being disbelieved can erode a patient’s confidence in their own bodily experience, a dynamic that echoes psychological research on gaslighting as a form of epistemic injustice. Physically, delayed or foregone care can allow treatable conditions to progress, translating a communicative failure into tangible clinical harm. Relationally, invalidation corrodes the therapeutic alliance—the foundation of effective care—while at the systemic level it contributes to disengagement from healthcare institutions and to widening inequities, since patients from marginalized groups appear disproportionately vulnerable to having their reports discounted.

Against this catalogue of harms, the review also found a strikingly consistent counterpoint: validation. Across the literature, experiences of being taken seriously, believed, and acknowledged were associated with beneficial effects on trust, adherence, satisfaction, and health outcomes. This asymmetry—validation reliably helping, invalidation reliably harming—underscores the authors’ framing of medical invalidation as a genuine patient safety issue rather than merely a matter of bedside manner or complaint management. If dismissive communication measurably delays diagnosis and drives patients away from care, then reducing invalidation belongs alongside medication errors and surgical complications on the patient safety agenda.

The review also took stock of how the field has attempted to measure invalidation, and here the picture is sobering. Existing instruments vary widely in what they capture, whether the provider’s behaviour, the patient’s perception, or the broader institutional context, and few have undergone rigorous validation. Without psychometrically sound measures, the authors caution, it is impossible to establish prevalence, track change over time, or evaluate whether interventions actually work. This gap in measurement science emerges as one of the field’s most urgent priorities.

On the solutions side, the reviewed studies converge on proposals at multiple levels. Communication improvements feature prominently, including teaching clinicians to acknowledge uncertainty explicitly rather than defaulting to dismissal, and to use validating language even when a diagnosis remains elusive. Clinician training is a second pillar, embedding communication skills and awareness of bias into medical education and continuing professional development. A third involves patient support, equipping patients with strategies to articulate symptoms and advocate for themselves, while acknowledging that the burden of fixing a systemic problem should not rest on patients alone. Targeted research—particularly longitudinal designs capable of tracing the mechanisms linking invalidation to downstream harm—is a fourth. Finally, the studies point to structural and systemic change: redesigning consultation lengths, reducing fragmentation, and addressing the demographic inequities that shape whose pain gets believed.

The Greifswald team is candid about the limitations inherent in a scoping review of a heterogeneous literature. Synthesizing studies that define their central construct differently carries obvious risks, and the predominance of English-language sources may narrow the cultural scope of the findings. The descriptive and thematic approach, while well suited to mapping a confused field, cannot establish causal claims about how invalidation produces harm. The authors frame their work as a foundation rather than a conclusion: a map of the terrain that makes clear where rigorous, hypothesis-driven research should now be directed.

What gives the review its urgency is the convergence of a maturing public conversation with an immature scientific one. Patients have been naming the experience of medical invalidation for years, and terms like medical gaslighting now circulate widely. The new synthesis validates the phenomenon as a legitimate object of scientific study while simultaneously warning that the field needs to agree on what it is studying. Medical invalidation, the authors conclude, is a complex, systemic issue rooted in diagnostic uncertainty, structural pressures, and human interaction—and addressing it will demand multi-level interventions that improve communication, dismantle structural barriers, and promote equitable, patient-centred care. The alternative, the accumulating evidence suggests, is a healthcare system that continues, unintentionally, to harm the very patients it exists to help.