The clinical foundation of the effort is Mothers and Babies, a cognitive-behavioral intervention with a strong evidence base for reducing perinatal depressive symptoms. Cognitive-behavioral approaches teach people to recognize and reframe patterns of thinking that contribute to low mood, and Mothers and Babies packages these skills in a format that can be delivered by home visitors rather than licensed therapists. That design matters because home visiting programs — in which trained staff make regular visits to pregnant women and new parents in their homes — are one of the most widely available service platforms in the United States, particularly for families with low incomes. The programs reach families where they live, build relationships over months or years, and are trusted in communities where clinical settings can feel intimidating or inaccessible.

Yet despite this reach, uptake of evidence-based perinatal mental health services across the heterogeneous landscape of home visiting programs remains limited. The stakes are high: perinatal mental health conditions are associated with maternal mortality and with persistent health disparities, particularly among Black, Indigenous, and People of Color, often abbreviated BIPOC. The research team argues that the problem is not a lack of effective interventions but a lack of effective implementation — the contextual, structural, and workforce-related barriers that prevent proven programs from being adopted, delivered consistently, and sustained across organizations that differ enormously in size, staffing, funding, and client population.

To understand those barriers, the researchers conducted a multi-component formative evaluation, the first phase of a larger hybrid implementation-effectiveness-context cluster randomized controlled trial registered at ClinicalTrials.gov as NCT06575894. Formative evaluation is a structured diagnostic process conducted before a major rollout: rather than assuming a strategy will work everywhere, investigators gather evidence about local conditions and adapt accordingly. The team used implementation mapping, a participatory framework that walks planners through identifying who needs to do what differently, why they are not doing it yet, and what change objectives and methods could close the gap. The framework draws on established implementation science models, including the Consolidated Framework for Implementation Research and the Integrated Promoting Action on Research Implementation in Health Services framework, which together organize the many factors — from individual motivation to organizational culture to external policy — that shape whether innovations take hold.

The evidence gathering was deliberately multi-method. The researchers conducted semi-structured interviews with nine BIPOC birthing people, asking directly about experiences with perinatal mental health services and what would make support feel trustworthy and usable. They carried out a landscape analysis that identified 509 home visiting programs across Iowa and Indiana, mapping the terrain of organizations that any scaled strategy would need to accommodate. They then surveyed 72 of those programs to characterize their current practices, capacities, and needs. This combination of qualitative and quantitative data allowed the team to triangulate — to check whether what programs said they needed matched what mothers described and what the structural landscape implied.

Community engagement was not an afterthought but a core design element. The team convened two in-person Community Coalition meetings that brought together home visitors, supervisors, program directors, mental health providers, and representatives from the Indiana Department of Health and the Iowa Department of Health and Human Services. Separately, they held three virtual meetings with an Iowa home visiting Parent Expert Panel, including one conducted entirely in Spanish, ensuring that the perspectives of Spanish-speaking families were captured in their own language rather than through translation after the fact. This layered structure meant that the people who would actually deliver the intervention, the people who would receive it, and the state agencies that oversee the programs all had a voice in shaping the implementation strategy.

To turn conversation into structured data, the researchers used the Nominal Group Technique, a method designed to elicit and prioritize ideas from groups while limiting the influence of the loudest voices. Participants generated candidate determinants — the factors that would help or hinder implementation — and then voted to rank them. The results revealed a shared core of concerns but also striking state-level differences. Participants across both states identified determinants spanning workforce capacity, system integration, training needs, and client trust. In Indiana, participants emphasized overcoming logistical barriers such as workload and the procedural integration of a new intervention into already demanding visit schedules. In Iowa, participants prioritized leveraging existing training infrastructure, communication systems, and mental health consultation arrangements. The lesson for implementation science is clear: even neighboring states with superficially similar programs may require meaningfully different support strategies.

The Parent Expert Panels added a dimension that provider-focused analyses often miss. Mothers highlighted trust, stigma reduction, flexible scheduling, and personalized support as decisive factors in whether they would engage with mental health services. Stigma around depression and anxiety during pregnancy and the postpartum period remains a powerful deterrent, and a mother’s willingness to disclose distress often depends on the relationship she has with her home visitor and the sense that disclosure will lead to help rather than judgment. These findings underscore that implementation is not only an organizational problem; it is also a relational one, in which the perceived safety of the encounter determines whether evidence-based care ever has a chance to work.

Triangulating across the interviews, surveys, coalition meetings, and parent panels, the team produced a matrix of change organized around four performance outcomes: Professional Development and Staff Growth; Integration into Current System of Implementation; Staff Understand the Importance of Mental Health; and Building Client Trust and Rapport. Each outcome is linked to specific performance objectives and change strategies, creating a practical bridge between abstract determinants and concrete tools. This matrix directly informed the IMPACT Implementation Support Package — named for Implementing Mental Health Programs Across Communities in Iowa and Indiana — which adapts implementation facilitation, a strategy in which trained facilitators provide ongoing, tailored support to help organizations adopt new practices, to the specific conditions identified in each state.

The broader significance of the study lies in its demonstration that a community- and partner-engaged, multi-method formative evaluation can identify context-specific implementation determinants and translate them into actionable tools for scaling evidence-based mental health services within existing health systems. Rather than treating home visiting programs as passive recipients of a packaged intervention, the approach treats them as expert partners whose local knowledge is essential to successful adoption. For service planners and researchers working across heterogeneous community health settings, the study offers a structured, replicable pathway: map the landscape, listen to providers and clients alike, prioritize determinants systematically, and build support packages that respect local differences. As maternal mental health continues to drive preventable harm and deepen disparities, the Iowa-Indiana collaboration suggests that the fastest route to scale may run not through new inventions, but through listening carefully to the communities where care actually happens.

Subject of Research: Scaling evidence-based perinatal mental health services in home visiting programs through adapted implementation facilitation

Article Title: Adapting implementation facilitation to scale evidence-based perinatal mental health services in home visiting programs: a community and partner-engaged formative evaluation across Iowa and Indiana

Article References: Faro, E. Z., Hamil, J. L., Adeagbo, M. J., Jones, D. D., Peters, M., Iyangar, A. S., Shelton, E., Van Tiem, J., Chasco, E. E., Ramirez, X., Sarria, I., Hanselman, E., Tandon, S. D., Tabb, K. M., & Ryckman, K. K. (2026). Adapting implementation facilitation to scale evidence-based perinatal mental health services in home visiting programs: a community and partner-engaged formative evaluation across Iowa and Indiana. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15768-5

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15768-5

Keywords: perinatal mental health, home visiting programs, implementation science, Mothers and Babies, community engagement, health disparities, maternal health, implementation facilitation, Iowa, Indiana, cognitive-behavioral intervention, formative evaluation

Unlike clinical depression or generalized anxiety, diabetes distress is a condition-specific phenomenon: a predictable, near-constant response to the relentless cognitive, emotional and logistical demands of keeping a failing pancreas artificially alive. Researchers have long known that this distress is common among adults with type 1 diabetes and is linked to worse self-management, poorer glycemic outcomes and reduced quality of life. What has remained murky is how that distress is actually experienced at different stages of adult life—a gap the new study set out to close by listening directly to patients rather than measuring them with questionnaires.

The research team, led by investigators at the Albert Einstein College of Medicine and Montefiore Medical Center in the Bronx, used a user-centered design approach, a methodology borrowed from product development that treats patients as genuine stakeholders rather than passive subjects. Nineteen adults with type 1 diabetes took part in six virtual workshops, each lasting about 90 minutes and facilitated by a clinical psychologist. Four sessions were devoted to young adults aged 18 to 34, whose mean age was 23.8 years, and two sessions gathered adults aged 35 to 64. The younger group was notably diverse, with nearly 43 percent identifying as Hispanic or Latino and another 43 percent as Black or African American, while the older group comprised five women recruited through a national patient advocacy council. Sessions were audio-recorded, professionally transcribed and analyzed with an inductive coding process in NVivo, with two analysts independently developing the framework and an audit trail maintained throughout to document every analytic decision.

The first and perhaps most striking finding is how much the two age groups share. Participants across the board identified competing daily priorities as a central driver of distress, alongside the financial and insurance-related friction of obtaining supplies and medications. The burden, participants stressed, was not merely economic. Navigating prior authorizations, recurring administrative hurdles and coverage disputes exacted its own emotional toll. Interpersonal strain surfaced in both groups as well—professional relationships, friendships and family dynamics all reshaped by the visibility of the disease, the sense of being misunderstood, and the exhausting need to repeatedly explain or justify diabetes-related needs. Encounters with the healthcare system emerged as another shared sore point, with participants describing feelings of judgment, frustration and a sense that their emotional well-being was treated as an afterthought to glucose metrics.

Where the groups diverged was in the temporal framing of their suffering. Young adults described distress as immediate and intrusive, a constant background presence that shaped everyday decisions and interfered with the developmental work of establishing independence and identity. Rather than a series of discrete tasks, diabetes was portrayed as an uninvited companion at work, in school and in social settings. Participants admitted to silencing alarms, delaying treatment or hiding their care during meetings to avoid disruption or unwanted attention. Technology figured prominently in this age group’s distress: device malfunctions, alarm fatigue and the sheer visibility of continuous glucose monitors and pumps contributed to feelings of stigma and of being marked as different from peers, sometimes pushing participants toward disengagement from self-care altogether.

Adults aged 35 to 64 told a strikingly different story. For them, distress was cumulative and future-oriented, shaped by decades of unbroken disease management, the accumulation of co-existing medical conditions and mounting anxieties about sustaining care into retirement. Many reflected on how their distress had evolved over the years, with self-management increasingly intertwined with family responsibilities, caregiving demands and long-term financial planning. The fear of complications and the physical wear and tear of long-standing diabetes loomed large. Clinical visits were frequently described as judgment-laden experiences—one participant compared meeting with the endocrinologist to sitting in the principal’s office—while the financial arithmetic of survival was expressed with bleak candor: the amount spent to stay alive, one participant noted, could have bought a house.

Across both groups, participants consistently distinguished diabetes distress from depression and anxiety, framing it instead as an expected reaction to a complex, lifelong condition. One participant captured the pervasiveness of the phenomenon by observing that almost everything a person with type 1 diabetes goes through has the potential to cause distress, from difficulty obtaining supplies to navigating insurance requirements to accessing timely care. The cognitive load was a recurring motif: young adults spoke of working hard simply to stay alive, while older participants tallied the extra hundreds of decisions the disease forces into each day. Taken together, the narratives suggest that diabetes distress arises not from any isolated task but from the cumulative challenge of integrating relentless disease management into the competing demands of ordinary life.

The study’s findings carry direct consequences for how psychological interventions are built. Core strategies—emotional validation, cognitive restructuring and problem-solving—appear broadly relevant across age groups, but the researchers argue that content and emphasis should be tuned to life-stage-specific stressors. The workshops directly informed the refinement of the Reduce intervention, a cognitive-behavioral program being developed within two ongoing randomized controlled trials. For young adults, that means addressing technology fatigue, competing priorities and identity-related concerns; for the older group, it means emphasizing cumulative burden, caregiving responsibilities and long-term planning. The authors also flag implications for routine clinical screening, suggesting that standard questionnaires may underestimate distress when they focus narrowly on emotional symptoms while ignoring contextual stressors such as cost, caregiving or technology burden. Brief, open-ended questions in routine encounters, paired with clinician training in empathetic, non-punitive communication, could improve detection of distress that is situational, cumulative or anticipatory in nature.

There are limits worth noting. The sample was small, workshop sizes shrank below their intended scale because of scheduling constraints, and every participant in the 35-to-64 group was female, which may constrain transferability to men of the same age. No validated distress instrument was administered, so severity cannot be benchmarked against established clinical thresholds, and recruitment from clinics and advocacy organizations likely captured people already engaged in care. Older adults aged 65 and beyond were outside the study’s scope and remain an important frontier, as aging with type 1 diabetes introduces clinical and psychosocial challenges of its own. Future work, the authors suggest, should examine distress longitudinally, stratify analyses by age and disease duration, and include more racially, ethnically and socioeconomically diverse populations, given well-documented disparities in outcomes and access.

What the study ultimately delivers is a conceptual upgrade: diabetes distress, long treated as a static psychological state, emerges instead as a dynamic, developmental and profoundly systemic experience—one shaped as much by insurance bureaucracy, algorithmic alarms and the architecture of clinical encounters as by individual coping. For a condition that demands vigilance every waking hour, recognizing that the meaning of that vigilance changes across a lifetime may be the first step toward support that people actually find worth using.

Subject of Research: Life stage differences in diabetes distress among adults with type 1 diabetes explored through user-centered design workshops

Article Title: Understanding Diabetes Distress Across Adulthood in Type 1 Diabetes: A User‐Centered Design Study

Article References: Rayden, R., Crespo‐Ramos, G., Finnan, M., Hoogendoorn, C., Farchione, T., & Gonzalez, J. S. (2026). Understanding Diabetes Distress Across Adulthood in Type 1 Diabetes: A User‐Centered Design Study. Endocrinology, Diabetes & Metabolism, 9(5), Article e70331. https://doi.org/10.1002/edm2.70331

Image Credits: AI Generated

DOI: 10.1002/edm2.70331

Keywords: type 1 diabetes, diabetes distress, user-centered design, mental health, young adults, aging, cognitive-behavioral intervention, healthcare burden, insurance barriers, diabetes technology, qualitative research, psychosocial care