The study, led by joint first authors Elombe Calvert, Shrutangi Vaidya, and Gabrielle Ilagan, with senior author John Torous of Beth Israel Deaconess Medical Center, took the form of a scoping review, a method designed to map the breadth and character of a research literature rather than to pool effect sizes in a single statistical estimate. The team searched across databases and identified 12,058 records, which they distilled down to 45 studies of social media detox interventions, experiments or quasi-experiments in which participants are asked to reduce, abstain from, or otherwise restrict their social media use. Each study was then evaluated against 76 extraction items organized into seven domains, covering everything from how well the intervention matched the underlying theory to whether the study design could actually support causal inference and whether the findings were relevant to real-world policy.

The motivation for the review stems from a genuine puzzle in the literature. Previous meta-analyses that have aggregated the results of social media reduction experiments have produced a confusing picture: effects on well-being and mental health are typically small, inconsistent across studies, and frequently indistinguishable from zero. Researchers have offered two broad explanations for this pattern. One possibility is that the true effects of social media abstinence genuinely vary from person to person and context to context, so that heterogeneous intervention effects average out to weak signals in pooled analyses. The other possibility is more uncomfortable for the field: the studies themselves may be flawed in ways that make their results unreliable, regardless of what the true effect happens to be.

What the new review found points strongly toward the second explanation. Across the 45 studies, the authors identified pervasive methodological limitations spanning multiple domains. Problems included poor alignment between the theoretical rationale for an intervention and the intervention actually delivered, weak causal architectures that could not rule out alternative explanations, inadequate control conditions, and designs that bore little resemblance to the kind of restriction policies now being legislated. In other words, the mixed findings that have characterized meta-analyses of social media detox research may partly reflect weaknesses in how the studies were designed and carried out, rather than meaningful differences in how the interventions affect people.

Perhaps the most striking single finding concerns who was actually studied. Among all 45 studies, only one included a sample with a mean age below 16 years. That is a remarkable mismatch, given that the restriction policies now advancing in legislatures around the world are aimed squarely at children and young adolescents. The experimental evidence that policymakers cite, in other words, was overwhelmingly collected from older adolescents and adults, populations whose social media habits, developmental stage, and psychological vulnerabilities may differ substantially from those of the children these laws intend to protect. Extrapolating from such samples to younger age groups is a leap that the evidence base, on its own terms, cannot fully justify.

The technical architecture of the review deserves attention because it illustrates how modern evidence mapping works. Scoping reviews differ from systematic reviews and meta-analyses in that they prioritize breadth of characterization over narrow statistical synthesis. By coding each study on 76 items across seven domains, the researchers were able to build a granular portrait of the field: which theoretical frameworks motivated the interventions, how participants were recruited and randomized, what comparison conditions were used, how outcomes were measured, how long the interventions lasted, how adherence was verified, and whether the studies were designed with policy relevance in mind. This kind of structured interrogation can reveal systematic blind spots that a simple tally of significant results would miss, because it asks not just what the studies found but whether the studies were capable of finding the truth in the first place.

The concept of causal architecture is central here. For an experiment to support a strong causal claim that reducing social media use improves mental health, it needs more than a before-and-after comparison. It needs random assignment to credible intervention and control groups, blinding or at least expectancy management so that participants’ beliefs about the intervention do not drive the outcomes, validated and sensitive outcome measures, sufficient statistical power, and procedures that ensure participants actually adhere to the restriction they were assigned. When any of these elements is missing or compromised, the resulting effect estimates become difficult to interpret: a null result might reflect a genuinely absent effect, or it might reflect a diluted intervention that participants never actually followed. Conversely, a positive result might reflect expectancy effects, demand characteristics, or regression to the mean rather than any real benefit of abstinence. The review’s finding that such weaknesses were pervasive across the field means that neither positive nor negative findings can be taken at face value.

The implications for policy are sobering. Several countries, including Australia, have moved to legislate minimum age requirements or other restrictions on social media access for minors, and advocates for such laws frequently cite experimental evidence that reducing use improves well-being. But if the experimental literature is methodologically fragile and largely disconnected from the target population, then the empirical foundation for those policies is shakier than the public debate suggests. The authors conclude that the available evidence may be insufficient to support robust causal claims about social media reduction and youth mental health, and that this constrains its use as a foundation for policies targeting children and adolescents. That does not mean social media is harmless, or that restriction policies are wrong; it means the current science cannot yet settle the question either way.

There are also important nuances for how the findings should be interpreted. A scoping review of methodological quality is not the same as a verdict that social media detoxes do not work. It is entirely possible that well-designed future studies, particularly ones conducted with genuine adolescents, adequate controls, and objective adherence monitoring, could reveal meaningful benefits of reduced use. What the review establishes is that the existing literature cannot be trusted to answer the question, and that the confidence with which some advocates and commentators have cited detox experiments is not warranted by the quality of the underlying research. The gap between the certainty of public rhetoric and the uncertainty of the evidence is itself a finding with real consequences, because policies built on weak evidence may misallocate resources, restrict young people’s autonomy without clear benefit, or crowd out interventions that would actually help.

The path forward, as the review implies, involves raising the methodological bar for the entire field. Future studies should be designed with the populations that policies actually target, meaning genuine samples of children and young adolescents rather than convenience samples of college students. They should employ rigorous causal designs with credible control conditions, pre-registered hypotheses, objective verification of social media abstinence rather than self-report alone, and outcome measures validated for developmental age groups. They should also be transparent about theory, specifying in advance why a particular restriction should produce a particular psychological change, so that null results can be interpreted meaningfully. Until such studies accumulate, the review’s central message stands: the mixed and often null findings of social media detox research may say as much about the studies themselves as about social media, and the evidence base is not yet strong enough to bear the weight of the sweeping restriction policies now being written in its name. The full open-access review, along with its supplementary data, is available for researchers and policymakers who wish to examine the methodological landscape in detail.

Subject of Research: Methodological quality of social media detox intervention studies and their relevance to youth social media restriction policies

Article Title: Mapping the methodological landscape of social media detox intervention through a scoping review of evidence relevant to social media restriction policies

Article References: Calvert, E., Vaidya, S., Ilagan, G., Swords, C. M., Goldberg, S. B., Ferguson, C., Linardon, J., & Torous, J. (2026). Mapping the methodological landscape of social media detox intervention through a scoping review of evidence relevant to social media restriction policies. Communications Psychology. https://doi.org/10.1038/s44271-026-00540-6

Image Credits: AI Generated

DOI: 10.1038/s44271-026-00540-6

Keywords: social media detox, scoping review, adolescent mental health, research methodology, social media restriction policies, causal inference, digital well-being, screen time, evidence synthesis, youth policy, Communications Psychology, intervention studies

The technical stakes of this distinction are considerable. In empirical science, the status of a claim — whether it functions as a hypothesis to be tested or as an established fact to be assumed — determines everything downstream: which research questions get asked, which methodologies are deployed, which alternative explanations are considered, and which findings are treated as anomalies rather than confirmations. Redstone’s argument is that when a causal claim is treated as settled, scholars lose any reason to explore competing explanations for observed disparities, and simultaneously acquire every reason to suspect the motives of colleagues who propose them. The assumption, she contends, has become so foundational to the practice and teaching of sociology in the United States that it steers research agendas, shapes student training, defines what counts as serious scholarship, and silences debate before it can begin.

Tracing the intellectual genealogy of this shift, Redstone identifies an unexpected catalyst: the Supreme Court’s 1971 decision in Griggs v. Duke Power Co. In that landmark case, the court ruled that the energy company’s employment policy — which conditioned hiring and job transfers on holding a high school diploma and passing two written tests — violated Title VII of the Civil Rights Act by limiting job opportunities for Black candidates. The ruling established what legal scholars call disparate impact doctrine, holding that employment practices need not be intentionally discriminatory to be unlawful if they produce unequal outcomes across racial groups without sufficient business justification. According to Redstone, this decision functionally embedded a causal claim — that disparate outcomes are produced by discrimination — into American law, and attached a moral valence to that claim in the process.

The moral dimension is central to Redstone’s analysis. Labeling an outcome discriminatory, she writes, is not merely describing a statistical pattern; it is assigning blame, even when the practice that produced the outcome was adopted without any intent to exclude. This is a subtle but consequential move in the logic of social science. A descriptive claim — that a disparity exists — is verifiable through data collection and statistical analysis. A causal claim — that discrimination produced the disparity — requires additional evidence ruling out alternative explanations. A moral claim — that someone is responsible for the disparity — carries an entirely different evidentiary and normative structure. Redstone argues that the post-Griggs environment collapsed these three distinct claim types into one another, so that observing an unequal outcome became sufficient grounds for asserting both its discriminatory cause and its moral condemnation.

Before the court’s decision, Redstone notes, sociological research of the 1960s and 1970s was methodologically pluralistic enough that researchers investigating racial disparities could and did explore alternative explanations. The hypothesis that institutional racism might be causing some or all of the differing outcomes was one possibility among many in their analytical toolkits, competing alongside explanations rooted in economics, geography, family structure, institutional resource allocation, and other factors. The Griggs decision, in her account, justified treating as settled the question of whether disparate outcomes were caused by discrimination or by other factors — and the ramifications extended far beyond law into academia, altering prevailing conceptions of harm, justice, group identity, and knowledge itself.

To assess the effects on contemporary scholarship, Redstone examines findings from several studies published over the past 25 years. The authors of those studies, which explored racial disparities in student discipline, health outcomes, criminal justice, and generational wealth accumulation, each concluded that the differences they documented were indicative of institutional racism. Redstone is careful to state that her point is not that these conclusions are necessarily wrong. Each of them, she writes, may be capturing something real about institutions’ resource allocations and about how disadvantage persists or grows across time. Her objection concerns the inferential structure: once it became widely accepted that inequities were themselves evidence that institutional racism produced them, the implications compounded, changing what discrimination was understood to look like and how pervasive it was believed to be. The reasoning became circular — disparities prove discrimination, and discrimination explains disparities.

According to Redstone, this circularity gave rise to a new organizing principle in which injustice became measured around group identity. Any negative outcome associated with a group that could be categorized as disadvantaged became presumptively attributed to the disadvantage that the identity carries. In this framework, identity does double duty: it not only indicates who experiences a given outcome but also explains why they experience it. The causal and moral weight attached to group identity subsequently reorganized scholarship across virtually every domain of sociological research, including health, education, criminal justice, culture, and labor markets. Conversely, outcomes experienced by majority groups came to be interpreted as the products of the same system operating in reverse — as unearned advantage — a reading that, Redstone argues, disregards the possibility that these results might stem from other complex factors deserving independent investigation.

The costs of dissent within this framework are asymmetric and severe. Challenging the assumption that institutional discrimination is the primary explanation for racial disparities carries different consequences depending on who voices the challenge, but for anyone, Redstone observes, dissent can be read as indifference to injustice or as complicity in it. Skeptics risk being accused of blaming the victim, and their skepticism itself may be treated as evidence of the very bias they are questioning — a self-sealing logical structure in which denial of the claim confirms the claim. Once disparities are presumed to be produced by discrimination, proposing a non-discriminatory explanation is, by definition, denying that discrimination is occurring. Redstone emphasizes that this moral logic cannot be softened or set aside while the original claim remains settled, because it follows directly from the claim itself. This is precisely why the claim’s epistemic status — hypothesis or fact — matters so much for everything built upon it.

The irony at the heart of the paper, Redstone concludes, is that sociology’s wholesale adoption of this central framework has compromised the discipline’s own capacity to examine its institutional processes and their impact — a reflexive blind spot in a field whose core mission is precisely that kind of institutional self-scrutiny. Redstone explores these themes in greater depth in her forthcoming book, Presumption of Guilt: How Equating Inequality with Injustice Fractured American Democracy, to be published in April 2027 by Pitchstone Publishing. In the book, she analyzes the implications of the broader ideological shift for American democratic institutions, arguing that they undermined a key element of their survival by treating the contested moral claim that inequality is inherently unjust as a settled question. Once inequality is equated with injustice, she argues, it morally recodes an entire worldview concerning justice, oppression, identity, and a wide range of topics extending well beyond inequality itself. The paper, published on 27 August 2026 and based on content analysis, invites sociologists to restore the empirical discipline that once allowed competing hypotheses about disparity to be weighed on their evidence rather than judged by their moral implications.

Subject of Research: The treatment of systemic racism as a default causal explanation for racial disparities in American sociology

Article Title: Paper explores systemic racism as the default explanation for disparities

Article References: Paper explores systemic racism as the default explanation for disparities. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: sociology, systemic racism, racial disparities, Griggs v. Duke Power, disparate impact, Theory and Society, Ilana Redstone, research methodology, group identity, academic debate, Civil Rights Act, moral epistemology

That framework comes from Ernest Boyer, the former US Commissioner of Education who, in 1990, challenged the graduate professional community to reconsider what counts as scholarship. Boyer argued that the traditional, singular view of scholarship, essentially the generation of new knowledge through scientific inquiry, was too narrow for the modern academy. He proposed instead that scholarship comprises four interdependent components: discovery, integration, application, and teaching. The Michigan authors contend that this inclusive definition paved the way for surgical education research to be recognized as legitimate scholarship rather than a hobby for clinicians with spare time. Just as a changing campus environment pushed Boyer to rethink scholarship, they write, today’s surgical education community faces a similar inflection point.

The momentum behind the field is measurable. Within the last decade, membership of the Association for Surgical Education has more than doubled, now exceeding 1,500 members. Two major forces are driving that growth. The first is the transition to competency-based medical education, or CBME, which replaces time-based training metrics with demonstrated ability. The second is technological: advances in artificial intelligence are beginning to augment everything from simulation feedback to personalized instruction. The authors argue that quality surgical education research is grounded in historical context, enhanced by modern innovation, and tempered by dedication to evidence-based practices, a triad that echoes Boyer’s insistence that scholarship must be both rigorous and useful.

What exactly is surgical education research? The authors define it as the systematic, scholarly study of how surgical training is taught, how it is learned, and how those processes ultimately affect patient care. The intersection of learners, educators, and patients makes the field unusually rich, though investigating an environment while simultaneously working inside it can feel reflexive. The authors embrace that tension, arguing that trainee and faculty stakeholders offer a critical, situated perspective that lends authenticity and applicability to the research. Observation and experience alone, they caution, do not produce expertise; insight must be paired with rigorous research principles to improve educational practices, systems, and learning environments.

Each of Boyer’s four components, the authors show, has produced landmark work in surgery. The scholarship of discovery, the generation of new knowledge, is exemplified by the concept of Entrustable Professional Activities, or EPAs, which shifted the determination of trainee competence toward whether a supervisor would trust a resident to perform a task unsupervised. The scholarship of integration, connecting knowledge across disciplines, is illustrated by work arguing that CBME cannot exist without continuous and comprehensive assessment, drawing on cognitive psychology, organizational behavior, and psychometrics. The scholarship of application, engaging inquiry with the real world, is perhaps the most intuitive for surgeons: validation studies of simulation-based training became essential when duty hour reform forced educators to innovate beyond the conventional operating room. Finally, the scholarship of teaching, subjecting instructional methods to peer review, was revolutionary in a profession where teaching had long escaped systematic analysis; early studies confirmed that resident evaluations were highly reliable predictors of both faculty teaching activity and clinical practice.

The authors organize nearly thirty years of scholarship into six domains, each showing a trajectory from foundational work to contemporary refinement. In assessment, the Objective Structured Assessment of Technical Skill, introduced in 1997, gave surgical residency its first structured, reliable method for measuring technical skill, signaling a shift toward objective, performance-based evaluation. Nearly two decades later, the Zwisch scale operationalized levels of intraoperative supervision and autonomy, extending that rigor to the operating room itself. In curriculum and instruction, the Briefing, Intraoperative teaching, Debriefing model provided a structured framework for teaching and reflection during surgery, while more recent work has linked feedback quality and the organization of practice directly to skill acquisition, reflecting a move toward evidence-informed curricular design.

Simulation and technology tell perhaps the most compelling story. A simulation-based mastery learning program demonstrably increased residents’ skill at inserting central venous catheters and, critically, reduced complications during actual patient care, providing hard evidence that training in the laboratory translates to the bedside. A more recent randomized clinical trial found that integrating artificial intelligence to augment personalized expert instruction further improved surgical simulation performance, marking the field’s expansion from basic skills training to advanced, technology-enhanced education. In continuing professional development, studies identifying specific operating room teaching behaviors, such as calmness and hands-on guidance, that correlate strongly with resident learning have evolved into structured interventions like OpTrust, an educational bundle that produced measurable improvements in teaching, learning, and faculty-resident trust.

The remaining domains broaden the field’s moral scope. Research on well-being established that burnout among American surgeons is linked to increased medical errors, and recent work has shown that disparities in mentorship affect resident education and wellness. In diversity, equity, and inclusion, early studies identified structural, cultural, and perception-based barriers deterring women from entering surgery, while a more recent analysis of surgical subspecialty training found racial and sex disparities in resident attrition. The authors note that scholarship here has expanded from examining individual and group barriers to systemic examination of recruitment and retention, a maturation they see as essential to the field’s credibility.

For researchers entering the field, the authors prescribe a disciplined methodological approach. It begins with formulating good research questions grounded in real problems encountered in the learning environment, keeping a running record of questions, ideas, and concerns as they arise. Researchers should map what the existing literature says, identifying gaps that may affect learning, teaching, performance, or patient care, and look beyond medicine to psychology, sociology, and epidemiology for framing. Strong questions, they remind readers, should satisfy the FINER criteria: feasible, interesting, novel, ethical, and relevant. Methodological variety is encouraged, but only with a clear understanding of each method’s limitations, careful identification and mitigation of bias, and consistent adherence to professional ethical standards. Modern solutions, including improved resource access, involving learners at all levels, national collaboration, and systematically integrating AI research tools, can offset the labor intensity that once discouraged surgical education studies.

The road ahead is not without obstacles. The authors acknowledge ongoing challenges in access to resources, mentorship availability, and inconsistent recognition of surgical education scholarship in promotion decisions made by department leadership. Yet the infrastructure for growth is substantial: several prominent peer-reviewed journals dedicated to surgical education now serve as reservoirs for evidence-based work, and communities of practice such as the Center for Surgical Training and Research, the Collaboration of Surgical Education Fellows, and the Surgery Education Research Fellowship connect mentees and mentors while providing guidance on methodology and strategy. What sustains the community, the authors conclude, is not the pace of progress but its stakes: the readiness of surgical trainees, the effectiveness of educators, and, ultimately, the outcomes of the patients in their hands.

Subject of Research: Historical and conceptual analysis of surgical education research using Boyer's scholarship framework

Article Title: Surgical education research: approaching a historic topic with a new lens

Article References: Singleterry, M. D., Picart, J. K., & Sandhu, G. (2026). Surgical education research: approaching a historic topic with a new lens. Global Surgical Education – Journal of the Association for Surgical Education, 5(1), Article 123. https://doi.org/10.1007/s44186-026-00524-4

Image Credits: AI Generated

DOI: 10.1007/s44186-026-00524-4

Keywords: surgical education, medical education, Ernest Boyer, competency-based medical education, simulation training, artificial intelligence, Entrustable Professional Activities, assessment, well-being, diversity equity inclusion, research methodology, Association for Surgical Education

The study, published in the journal Current Psychology by Anna Włodarska, Anna Zajenkowska, and Izabela Kaźmierczak of VIZJA University in Warsaw, addresses a long-standing methodological worry known as volunteer bias or self-selection bias. Scientific research is vulnerable to both random error, which scatters measurements unpredictably, and systematic error, which pushes them consistently in one direction. Random error can be tamed with larger samples and better instruments. Systematic error is more insidious, because it can masquerade as a genuine finding. If the people who volunteer for studies differ from the population they are meant to represent, then every downstream statistic inherits that distortion, no matter how elegant the analysis.

Volunteer bias has been documented for decades in psychology, where researchers have repeatedly noticed that participants in behavioral studies tend to score differently on personality and affect measures than non-volunteers. Earlier work by some of the same Polish team, published in PLOS ONE in 2023, found that personality and affective disturbances were prevalent among participants in psychological studies, hinting that the problem extended beyond simple demographic skew. The new study extends that logic into clinical research, where the stakes are considerably higher. Clinical trials generate the evidence on which drug approvals, treatment guidelines, and ultimately patient care depend. If trial volunteers carry a distinctive psychological profile, the safety and efficacy data produced by those trials may not generalize cleanly to the broader patient population.

To investigate, the team drew on a representative community sample of Polish adults, a design choice that matters enormously. Most studies of volunteer bias compare actual trial participants with actual non-participants at a single research site, which limits what can be said about the wider population. By surveying a representative cross-section of the community and simply asking respondents about their interest in participating in psychological studies and clinical trials, the researchers could estimate how personality pathology is distributed across the willing and the unwilling in the population at large. Participants completed validated measures, including the Polish adaptations of the Personality Inventory for ICD-11 and the Level of Personality Functioning Scale-Brief Form 2.0, alongside the Patient Health Questionnaire-9 for depressive symptoms.

The theoretical framework underlying the measurement is worth understanding, because it represents a major shift in how psychiatry conceptualizes personality disorder. Both the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and the eleventh edition of the International Classification of Diseases have moved toward dimensional models, in which personality pathology is understood as a matter of degree rather than a set of discrete categories. The ICD-11 model assesses two things: a level of personality functioning, which captures how severely a person’s sense of self and relationships are impaired, and a set of pathological trait domains, including negative affectivity, disinhibition, dissociality, and others. This dimensional approach allowed the Polish team to measure personality pathology continuously across their entire sample rather than only in people with formal diagnoses.

The results were striking in their consistency. Individuals who said they were interested in participating in clinical trials showed lower levels of personality functioning, meaning greater impairment in self-organization and interpersonal capacities, than those who were not interested. They also scored higher on negative affectivity, the trait domain encompassing anxiety, emotional lability, and a tendency to experience distressing emotions, and on disinhibition, which reflects impulsivity and difficulty with planning and restraint. Dissociality, a trait involving callousness and disregard for the rights and feelings of others, was likewise elevated. On top of the personality findings, interested respondents reported more depressive symptoms than their uninterested peers, suggesting that mood disturbance and personality pathology travel together in the population of potential volunteers.

Perhaps the most intriguing finding concerned the type of trial. The highest scores on personality pathology and depressive symptoms appeared among respondents interested specifically in psychiatric drug trials. The authors suggest a plausible explanation rooted in perceived benefit: people struggling with psychological distress may see psychiatric drug trials as a route to new treatments and structured care that they might not otherwise access. This creates a paradox with real methodological consequences. The very trials designed to evaluate psychiatric medications may disproportionately attract participants whose personality functioning is impaired, meaning the samples on which psychiatric drug evidence rests could be psychologically distinctive in ways that current screening rarely captures.

Why should this matter for the integrity of trial results? Prior research offers several concrete mechanisms. Psychopathological traits have been shown to influence participant behavior in ways that complicate protocol adherence and data accuracy. Neuroticism, a close cousin of negative affectivity, is associated with larger and more prolonged physiological responses to emotional stimuli, altered cortisol reactivity, and even differences in antibody response to vaccination, all of which could interact with the outcomes a trial is designed to measure. Depressive symptoms can bias decision-making, and personality pathology is linked to poorer treatment outcomes and higher treatment utilization in clinical populations. Participants with elevated disinhibition may struggle with the demands of strict dosing schedules and follow-up visits, while those with high negative affectivity may report side effects differently, skewing safety data in either direction.

The study’s authors argue that their findings highlight the importance of screening trial participants for personality pathology, not to exclude them from research, but to account for their characteristics in the design and analysis of studies. There is a delicate ethical balance here. Volunteers with psychological distress are precisely the people who may benefit most from access to experimental treatments, and excluding them wholesale would be both unfair and scientifically wasteful. But ignoring the pattern risks a subtler form of harm: trial results that look generalizable but are actually calibrated to a psychologically atypical subset of the population, with safety profiles and efficacy estimates that may not transfer to typical patients.

The research, which was part of a larger project on hostile attribution and was approved by the Maria Grzegorzewska University Research Ethics Committee, adds a compelling new dimension to an old methodological conversation. It suggests that the gate through which every participant passes, the decision to volunteer, is itself psychologically patterned, and that the pattern runs toward pathology rather than away from it. For a field that has invested enormously in randomization, blinding, and statistical rigor, the message is humbling: some of the most consequential selection into the evidence base happens before a single protocol procedure begins. As clinical science grapples with replication problems and questions about generalizability, understanding who volunteers, and why, may prove to be one of the most underappreciated levers for improving the reliability of medicine itself.

Subject of Research: Volunteer bias in clinical trials linked to personality pathology and depressive symptoms

Article Title: Personality pathology and willingness to participate in psychological and clinical trials

Article References: Włodarska, A., Zajenkowska, A., & Kaźmierczak, I. (2026). Personality pathology and willingness to participate in psychological and clinical trials. Current Psychology, 45(19), Article 1566. https://doi.org/10.1007/s12144-026-10067-y

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10067-y

Keywords: volunteer bias, selection bias, personality pathology, clinical trials, depressive symptoms, ICD-11, negative affectivity, disinhibition, psychiatric drug trials, research methodology, personality functioning, self-selection

The problem, the researchers explain, is that the most widely used reporting standards were never designed with education in mind. The CONSORT checklist, the gold standard in health research, focuses narrowly on randomised controlled trials, whereas education researchers routinely employ quasi-experimental designs, pre-post studies, and cross-sectional surveys alongside RCTs. The TIDieR checklist, which guides the description of health interventions, is too generic to capture the distinctive features of educational interventions, such as pedagogical approach, curriculum embedding, and the relationship between instructor and student. Existing education-specific tools, including GREET, SQUIRE-EDU, and DoCTRINE, are largely confined to health, medical, and clinical education, leaving the broader educational landscape without adequate guidance.

The consequences of poor reporting are far-reaching. When intervention characteristics, population information, and analytical details go unreported, the quality, replicability, and reliability of research suffer. Researchers cannot draw meaningful comparisons between studies or synthesise findings across contexts, which undermines the evidence base that policymakers increasingly demand. Replication, a cornerstone of scientific progress, requires thorough reporting that allows interventions to be adapted for different settings while preserving fidelity to their core principles. Without it, even the most promising educational innovation remains trapped in the context where it was first tested, unable to inform practice in schools, further education colleges, or universities elsewhere.

To close this gap, the team developed the CheckList Of Standards of reporting in Education Research (CLOSER), which guides comprehensive reporting of quantitative educational intervention studies from abstract to discussion across multiple study designs, and the Checklist for Intervention Description of Education Research (CIDER), which details the precise features of educational interventions and can also serve qualitative manuscripts. The final versions contain 34 and 17 items respectively, and were forged through a rigorous five-stage process: adaptation of existing tools such as CONSORT and TIDieR, feedback from an interdisciplinary expert team spanning education, health, and psychology, a two-round modified Delphi consensus survey with international editorial board members, and final refinements.

The Delphi process revealed strong expert support for the checklists. In the first round, 28 participants rated each item on a scale from omit to essential, with CLOSER items most frequently rated as essential or desirable and every CIDER item most frequently rated as essential. No items were dropped on the basis of the quantitative ratings alone, though qualitative feedback prompted adjustments, removals, and additions. Nineteen participants returned for the second round, reviewing revised versions of the checklists, and the majority approved all items for inclusion. Participants also expressed enthusiasm for the checklists being disseminated widely, through journal author guidelines, university library resources, ethical guidelines, online platforms, and study preregistration websites.

CLOSER’s items walk researchers through the full arc of a study. It demands a structured abstract, a clear statement of the intervention’s aim, objectives, and hypotheses, and an explicit description of the study design, whether an RCT with randomisation and allocation concealment, a quasi-experiment, a pre-post study, or a cross-sectional survey. It requires researchers to report eligibility criteria at both individual and group level, recruitment periods aligned with the academic calendar, ethical clearance with reference numbers, and any changes made to methods after the study began. It also insists on transparency about outcome measures, including whether they were validated, and about sample size determination, whether through formal power calculations or the practical constraints of a fixed cohort.

Several items tackle bias head-on. Researchers must identify potential sources of bias, such as self-selection, measurement error, and confounding variables like prior academic achievement, and describe their efforts to mitigate them. Where an intervention and control condition coexist, the checklist asks for a description of their similarity and the steps taken to keep them distinct, so that observed effects can be attributed to the intervention rather than contamination between groups. Blinding, notoriously difficult in education because teachers must know what they are delivering and students often recognise a new teaching approach, is addressed with graded guidance: report who was blinded, how, and if nobody was, say so and explain why. Statistical methods, participant flow, baseline demographics, effect sizes with confidence intervals, ancillary analyses, and unintended harms all receive dedicated items.

CIDER, which slots into the intervention description section of CLOSER, drills down into the anatomy of an educational intervention itself. It asks for a succinct title capturing the intervention’s essence, its aims and intended learning outcomes, and the theoretical or empirical rationale behind its development. It requires details of who developed the intervention, who delivered it, their expertise and training, and whether participants with lived experience helped co-create it. It covers the institutional setting, from urban or rural location to student population size, the physical or virtual spaces where sessions took place, timing and duration relative to the academic calendar, delivery modes and content, participant-to-instructor ratios, curriculum embedding, materials, attendance figures, delivery monitoring, and any modifications made mid-study, with reasons.

The authors are candid about limitations. The Delphi participants, though drawn from multiple countries and disciplines, were predominantly based in the UK, Australia, and the US, so further validation in non-English-speaking contexts is needed. Some interventions in culturally unique settings may require adaptation of the checklist items, and the team stresses that the tools are designed with flexibility in mind, allowing researchers to tailor items to the macro, meso, and micro realities of their educational contexts. They also note that educational intervention research frequently underreports race and ethnicity, and that more complete, uniform descriptions of participants and interventions could help the field confront educational disparities rather than inadvertently perpetuate them.

Ultimately, the team frames CLOSER and CIDER as foundations rather than finished solutions. Checklists alone cannot raise reporting standards; they must be endorsed by journals, championed by institutions, and embraced by researchers, and their real-world impact now needs evaluation. The checklists also promote evidence-informed rather than merely evidence-based practice, encouraging educators to adapt interventions to their own contexts and then report on the results. If the field takes up these tools, the researchers argue, educational intervention research could become more transparent, more replicable, and far more useful to the teachers, policymakers, and students who depend on it, turning a fragmented literature into a coherent, cumulative evidence base for improving education worldwide.

Subject of Research: Development of reporting checklists for quantitative educational intervention research

Article Title: Improving reporting standards in quantitative educational intervention research: introducing the CLOSER and CIDER checklists

Article References: Upsher, R., Dommett, E., Carlisle, S., Conner, S., Codina, G., Nobili, A., & Byrom, N. C. (2025). Improving reporting standards in quantitative educational intervention research: introducing the CLOSER and CIDER checklists. Journal of New Approaches in Educational Research, 14(1), Article 2. https://doi.org/10.1007/s44322-024-00022-9

Image Credits: AI Generated

DOI: 10.1007/s44322-024-00022-9

Keywords: educational interventions, reporting standards, checklists, CLOSER, CIDER, Delphi consensus, replicability, quantitative research, research methodology, evidence-based practice, education research, Improving

The review, conducted by a team of researchers based primarily in Australia and the United States, followed the PRISMA-ScR framework for scoping reviews. The authors searched four major databases—Google Scholar, PsycINFO, PubMed, and EMBASE—for peer-reviewed, English-language publications from 2015 to 2025 that described lived experience involvement going beyond standard consultative or participatory methods. After screening 5,228 records and confirming the lived experience credentials of authors where necessary, only twelve publications met the stringent inclusion criteria. That small yield is itself one of the most telling results: in a decade of intense policy attention on patient and public involvement, credible accounts of people with cancer actually leading research are vanishingly rare.

Geographically, the eligible publications came overwhelmingly from high-income countries, with four from the United Kingdom, three from the United States, two from the Netherlands, and one each from Australia, Sweden, and Switzerland. Nearly all—83 percent—focused on adult cancer, with just two addressing adolescents and young adults, a population that faces distinct survivorship challenges. Most of the included papers were editorials or commentaries rather than empirical studies, and five were original research articles. The majority concentrated on survivorship care, psychosocial experiences, and quality-of-life research rather than on biological, epidemiological, or clinical trial research, suggesting that lived experience leadership, where it exists at all, has been confined largely to the psychosocial end of the cancer research spectrum.

The conceptual picture that emerged was one of a continuum. At the most common end, lived experience leadership was framed as a co-researcher or research partner model, in which an adult with cancer or a caregiver joins the research team with equal membership alongside academic and clinical investigators. But equal membership, the authors note, does not equal authority. In most described initiatives, the responsibilities of lived experience researchers centered on providing feedback on documents drafted by others. When they did lead document development, it was typically limited to public-facing materials related to recruitment and dissemination—never to the research questions themselves, the study methods, or the interpretation of findings. Decision-making authority, in other words, remained with academic investigators without lived experience.

Only four of the twelve publications described what the reviewers considered true lived experience research leadership, meaning that a person with both academic credentials and lived experience of cancer held responsibility for the research questions, the methodology, or the writing of the publication. Two publications invoked the concept of the embodied researcher—a figure who draws deliberately on both lived and academic expertise to lead research rather than serving as a source of consultation alongside principal investigators without lived experience. Crucially, the embodied researcher framework treats experiential knowledge not as something to be bracketed or suppressed in the name of objectivity, but as a reflexively integrated source of empirical insight across every stage of the research process.

Only three publications were led by researchers who identified as having lived experience of cancer, and just one explicitly used the embodied research framing. The review also found that lived experience leadership was nearly absent from article titles, mentioned in all but one case only within methods sections under the familiar umbrellas of patient and public involvement or consumer engagement. Five publications did have a first author with lived experience, and four acknowledged that experience in the text or affiliations, but authorship position alone did not reliably signal substantive leadership in study conceptualization, design, or decision-making. Notably, the review found no examples of research leadership by family members or caregivers of people with cancer, who appeared mainly as minority members of larger advisory groups.

The barrier most consistently cited across the literature was funding. If funding were acquired, publications noted, it could provide salaries or reimbursement of participation costs such as travel and time for lived experience researchers—a basic prerequisite for anyone hoping to lead rather than volunteer intermittently. Enablers included tailored training programs matched to the nature and duration of the leadership role and the research focus, whether psychosocial or biomedical, as well as formal terms of reference or strategy documents that clearly specify the roles, responsibilities, and boundaries of lived experience experts. The authors argue that these practical mechanisms, while necessary, are insufficient without deeper structural change in how research institutions conceptualize expertise.

A provocative thread running through the review concerns the relationship between lived experience and scientific objectivity. The authors push back against the concern that research led by people with lived experience introduces unacceptable subjectivity, pointing out that subjectivity is a universal feature of all scientific inquiry. Every scientist, they argue, enters a study with preconceived notions, disciplinary biases, and social positions that shape how questions are framed, how outcomes are defined, and how findings are interpreted. The critical distinction, supported by established methodological principles, lies in whether subjectivity is left unexamined or rigorously engaged through reflexivity and transparency. By that standard, a researcher who has survived cancer and discloses and reflects on that positionality is arguably on firmer methodological ground than one whose relevant experiences go unacknowledged.

The WHO estimates that one in five people will develop cancer in their lifetime, which implies that a significant portion of the existing cancer research workforce already carries direct or indirect experience of the disease—as patients, survivors, family members, or caregivers. Yet very few cancer researchers report or acknowledge such experience in their scientific outputs, and it remains unclear why the field differs so markedly from mental health research, where an emerging lived experience workforce leads embodied research and where the field has begun confronting academic ableism and the stigma, stress, and disclosure dilemmas that early-career lived experience researchers face.

The review closes with three recommendations. First, the field needs clearer conceptual frameworks and positionality guidance that distinguish academic researchers with lived experience who lead embodied research from part-time or voluntary co-researchers and from advisory panel members. Second, institutions should build a sustainable pipeline of embodied researchers through protected funding, tailored training, mentorship, and equitable remuneration, with genuine leadership defined as authority over agenda setting, methodological decisions, interpretation, and dissemination. Third, journals and funding bodies should strengthen reporting guidelines to require detailed descriptions of leadership structures, decision-making authority, and resourcing, enabling comparability across studies. The authors, all of whom have lived experience of cancer diagnosed in childhood or young adulthood, acknowledge limitations including the English-language restriction and the small team, but they argue the direction is clear: cancer research must move beyond binary distinctions between researchers and patients toward a model that recognizes and empowers those who stand in both worlds, transforming symbolic inclusion into accountable, lived experience–led science.

Subject of Research: Lived experience leadership in academic cancer research

Article Title: Lived experience leadership in cancer research: a scoping review of conceptual definitions, roles, responsibilities, and impacts

Article References: Schilstra, C. E., Glinatsis, A., Emery, M., Zebrack, B., Cheung, C. K., Smith, A., & Sansom-Daly, U. M. (2026). Lived experience leadership in cancer research: a scoping review of conceptual definitions, roles, responsibilities, and impacts. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-026-02119-w

Image Credits: AI Generated

DOI: 10.1007/s11764-026-02119-w

Keywords: cancer research, lived experience, embodied researcher, patient and public involvement, scoping review, research leadership, cancer survivors, co-researchers, psycho-oncology, research methodology, health equity, Journal of Cancer Survivorship

The problem the researchers set out to solve is deceptively simple to state but difficult to resolve. The term non-pharmacological intervention, or NPI, refers to health prevention and care protocols supervised by healthcare professionals, yet no precise and widely adopted definition currently exists. This definitional vacuum has real consequences. Because NPIs vary enormously in content, delivery, and study design, research findings are difficult to compare, replicate, or synthesize. The authors argue that this heterogeneity limits scientific impact, hinders dissemination and continuous improvement of practices, and contributes to significant mistrust among professionals and the public. Existing reporting guidelines such as CONSORT address only a subset of the study types relevant to NPI assessment, leaving large portions of the evidence base without shared standards.

To build the framework, the team conducted a structured consensus study from 2022 to 2023, collaborating with researchers, healthcare users, healthcare practitioners, health operators, scientific societies, and health authorities. The methodology was hybrid, primarily inspired by the Nominal Group Technique and supplemented with elements of a modified Delphi approach. A multidisciplinary committee of 22 experts guided the process through iterative, open, and documented exchanges across four stages. First, a committee of 70 members created an initial list of ethical and methodological items. Second, a larger committee of 300 members refined that list. Third, 503 voters cast open votes on each individual item. Finally, the draft framework was submitted for consultation to 36 scientific societies and 14 health authorities, whose feedback shaped the final document.

The consensus process yielded a definition that anchors the entire model. An NPI, the stakeholders agreed, is an evidence-based, effective, personalized, non-invasive health prevention or care protocol, registered and supervised by a qualified professional. Each element of this definition carries weight. The requirement of an evidence base excludes practices unsupported by research. The emphasis on personalization acknowledges that non-drug interventions are typically tailored to individual circumstances rather than administered in fixed doses. The non-invasive criterion distinguishes these protocols from surgical or otherwise intrusive procedures. Registration and professional supervision, meanwhile, address concerns about unregulated practitioners and unverified claims that have long shadowed the field.

On top of this definition, the researchers constructed the NPIS Model as a set of 77 recommendations for evaluating NPIs, divided into 14 ethical and 63 methodological items. Every recommendation achieved at least 80 percent agreement among voters, a threshold the authors describe as evidence of genuine consensus rather than mere majority preference. The recommendations are organized around five types of studies that together span the translational pathway of an intervention: mechanistic studies, which probe how an intervention works at biological or psychological levels; observational studies, which document associations in real-world populations; prototypical studies, which establish feasibility and preliminary signals; intervention studies, the controlled trials that test efficacy; and implementation studies, which examine how interventions perform when deployed at scale in routine care.

This five-stage architecture is one of the model’s most distinctive technical contributions. Traditional evaluation frameworks tend to privilege the randomized controlled trial as the gold standard, but the authors argue that NPIs require a broader evidentiary ecosystem. A mindfulness-based stress reduction program, for example, cannot be evaluated in the same way as a small-molecule drug. Its active ingredients are distributed across instructor competence, participant engagement, dose and frequency of practice, and the therapeutic relationship itself. Mechanistic work may be needed to identify which psychological or neurobiological pathways are engaged, while implementation research determines whether the program retains its benefits when delivered by ordinary clinicians in busy clinics rather than by the specialists who designed it.

The ethical recommendations embedded in the model are equally notable. Because NPIs often involve vulnerable populations, behavioral manipulation, and long-term lifestyle change, questions of informed consent, participant burden, data protection, and equitable access take on particular urgency. By codifying 14 ethical requirements alongside the methodological ones, the framework signals that rigor and ethics are inseparable in this field. The authors report that 31 scientific societies and three health authorities have already provided letters of support for the NPIS Model, suggesting substantial institutional appetite for a shared reference. The framework is also accompanied by a registry maintained by the Non-Pharmacological Intervention Society, the non-profit scientific organization that coordinated the consensus process.

The study’s authors are candid about the limitations of their work. Because the framework was developed by francophone contributors, with voting restricted to residents of France, its applicability beyond this setting remains to be established through future international consultation and validation. Health systems differ in financing, professional regulation, and cultural attitudes toward non-drug therapies, and a framework forged in one national context may require adaptation elsewhere. The researchers also disclose a non-financial competing interest: several team members hold founding, leadership, or coordinating roles within the Non-Pharmacological Intervention Society, the organization that created and promotes the model. Transparency about these constraints, they suggest, is itself consistent with the model’s ethos of open, documented consensus-building.

If the NPIS Model gains international traction, its implications could reach far beyond academic methodology. Insurers and health authorities increasingly face pressure to decide which non-drug therapies to reimburse, and the absence of shared evaluation standards has made those decisions contentious. A common framework could help distinguish well-supported interventions from poorly validated ones, protect patients from unproven claims, and give practitioners confidence that the protocols they adopt meet recognized ethical and scientific benchmarks. For researchers, the model offers a roadmap for designing studies that regulators, journals, and funders can readily assess. The authors hope the framework will promote transparency, methodological rigour, ethical standards, and transferability in NPI research, ultimately increasing the value of evaluation for researchers, practitioners, healthcare users, and health authorities alike. Whether the model achieves that ambition will depend on the international validation studies now needed to test its portability across borders and health systems.

Subject of Research: A consensus-based framework for evaluating non-pharmacological interventions in health prevention and care

Article Title: The NPIS model: a consensus-based framework for evaluating non-pharmacological interventions

Article References: Ninot, G., Descamps, E., Achalid, G., Abad, S., Carbonnel, F., Carrieri, P., Dargent-Molina, P., Fiteni, F., Foucaut, A.-M., Guyon, A., Legout, A., Lognos, B., Molinari, N., Nizard, J., Nogues, M., Poisbeau, P., Rochaix, L., & Falissard, B. (2026). The NPIS model: a consensus-based framework for evaluating non-pharmacological interventions. Health Research Policy and Systems. https://doi.org/10.1186/s12961-026-01521-1

Image Credits: AI Generated

DOI: 10.1186/s12961-026-01521-1

Keywords: non-pharmacological interventions, NPIS Model, consensus study, health research evaluation, research methodology, medical ethics, public health, Nominal Group Technique, Delphi method, clinical guidelines, evidence-based practice, health policy