{"title":"Patient-Centered Care in Healthcare Services: Feedback from Older Adults Engaging in Primary Care-Based Behavioral Health Programs.","authors":"Erica Sappington, Amber Gum, Mitch Roberts, Sheila Thomas, Carla VandeWeerd","doi":"10.1007/s11414-025-09971-1","DOIUrl":"https://doi.org/10.1007/s11414-025-09971-1","url":null,"abstract":"<p><p>This study examines older adults' perspectives on patient-centered care and engagement in a short-term behavioral health intervention, addressing persistent barriers to mental health access in aging populations. Guided by the NIH Stage Model (Stage 1), the goal was to refine the intervention by integrating participant feedback to enhance recruitment, retention, and overall program acceptability. Data were drawn from focus groups with residents of The Villages® community, alongside program participation and survey records. The 12-week intervention enrolled 183 participants; 115 (62.8%) completed all 10 sessions and both intake and exit surveys. Most completers were female (75.7%) and white (92.2%), with anxiety (60.9%) and depression (54.8%) as the most common treatment reasons. While completion rates were moderate, 37.2% dropped out, and only 33.8% of non-completers responded to follow-up inquiries, underscoring ongoing retention challenges. Findings highlight the potential of embedding behavioral health services within primary care to reduce stigma, improve accessibility, and leverage trust in existing provider relationships. Older adults valued clear communication, early demonstration of benefits, and interventions tailored to their preferences and cultural context. However, early discontinuation-often after perceived improvement-suggests a need for strategies that encourage sustained engagement, such as rapport-building, booster sessions, or follow-up reminders. From a systems perspective, integrating behavioral health into primary care can promote equity, reduce logistical barriers, and support more holistic care delivery. These insights can guide providers, policymakers, and researchers in designing responsive, patient-centered interventions that improve both engagement and outcomes for older adults.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do Payment Methods Incentivize Screening for Unhealthy Alcohol Use in Ambulatory Care Settings? Evidence from the US National Ambulatory Medical Care Survey.","authors":"Aryn Z Phillips, SunJung Yoon","doi":"10.1007/s11414-025-09965-z","DOIUrl":"https://doi.org/10.1007/s11414-025-09965-z","url":null,"abstract":"<p><p>Despite recommendations, screening for unhealthy alcohol use occurs infrequently in US ambulatory care. One barrier to screening often cited by physicians is misalignment of incentives, but it is unclear which financial arrangements contribute to or alleviate this misalignment. This analysis investigates how determinants of income-both patient care revenue and physician remuneration-encourage or discourage guideline-concordant alcohol screening. Cross-sectional data from the US National Ambulatory Medical Care Survey 2015, 2016, 2018, and 2019 are pooled. Covariate-adjusted logistic regression is used to estimate associations between alcohol screening during visits and variables capturing methods of patient care revenue generation and of physician remuneration. Methods of revenue generation include receipt of revenue from capitation and Medicaid. Methods of physician remuneration include payment by share of practice billings, consideration of productivity and patient satisfaction in determining compensation, and practice ownership. Of 10,607 visits under study, fewer than 3% included screening. In the adjusted model, visits to physicians who received > 25% of patient revenue from capitated payments had higher odds of including screening (adjusted odds ratio (aOR) = 5.94; 95% confidence interval (CI) = 2.33, 15.13) compared with visits to physicians who received less from capitation, as did visits to physicians for whom patient satisfaction surveys impacted compensation (aOR = 3.56; 95% CI = 1.51, 8.37). Payment methods that reward value (e.g., capitation) and patient-centered outcomes (e.g., patient satisfaction), rather than productivity, may promote alcohol screening in US ambulatory care. However, the low rates of screening observed suggest transitioning towards such methods will not be sufficient to achieve optimal screening rates.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carissa van den Berk-Clark, Nitin Katakam, Danielle Thistle
{"title":"Mental Health Service Disparities in Persistent Poverty Counties versus Non-Persistent Poverty Counties.","authors":"Carissa van den Berk-Clark, Nitin Katakam, Danielle Thistle","doi":"10.1007/s11414-025-09973-z","DOIUrl":"https://doi.org/10.1007/s11414-025-09973-z","url":null,"abstract":"<p><p>There is a dose-response relationship between the incidence of psychiatric issues and poverty. To better understand disparities related to extreme poverty and inequality, this study aims to investigate whether there is a difference in mental health services between counties identified as persistent poverty counties and those not identified. Data from the National Survey on Substance Abuse and Mental Health Services and the U.S. Census American Community Survey were analyzed. A random-effects logit regression analysis was performed to determine the likelihood of access to various types of mental health facilities, behavioral health services, medical services, screening services, emergency services, and ancillary services. Adjusted regression results revealed that persistent poverty county status was associated with a lower likelihood of residential facility services (OR = 0.65, 95% CI 0.45, 0.96), a higher likelihood of medication use (OR = 1.58, 95% CI 1.20, 2.09), and a higher likelihood of ancillary services (OR = 1.10, 95% CI 1.05, 1.16), especially chronic disease management, housing, intensive case management, and peer support. Meanwhile, fewer trauma-related treatments were available in these counties. A subsample of rural counties showed similar results. Mental health providers in persistent poverty counties were less likely to offer residential and behavioral health services and more likely to provide medication and ancillary services. Implications for mental health policy and practitioners are discussed.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrey A Popkov, Tyson S Barrett, Jason Hohl, Amber Shergill, Susan L Deakin, Melissa Perry
{"title":"Enhancing Depression Identification and Stratification with a Claims-Based Analytical Framework.","authors":"Andrey A Popkov, Tyson S Barrett, Jason Hohl, Amber Shergill, Susan L Deakin, Melissa Perry","doi":"10.1007/s11414-025-09972-0","DOIUrl":"https://doi.org/10.1007/s11414-025-09972-0","url":null,"abstract":"<p><p>Depression, a prevalent health condition, substantially impacts both socioeconomic outcomes and individual wellbeing. Despite the availability of diagnostic tools, existing approaches for identifying depression severity often rely on single-indicator approaches, limiting accuracy. This retrospective study evaluates a multi-parameter analytics-enabled Identification and Stratification (IDS) framework designed to improve depression identification and severity stratification by leveraging health insurance claims and electronic health record data. For the evaluation, Highmark Health dataset was used, consisting of records for members aged 18 + with at least one healthcare encounter. The IDS framework identified 720,882 members with depression (16.6% of the population). The framework identified 258,206 more members (5.9% of the population) compared to using diagnoses alone. The stratification rules revealed variability in prevalence, with 5.0% mild, 8.5% moderate, 2.2% severe, with the remaining 0.9% in unknown, remission, or minimal. The IDS rules escalated 46% of mild and 19% of moderate cases to higher severity compared to single indicator assessments. Expenses for severe depression were, on average, 2.5 times higher than for minimal. The IDS framework demonstrated utility in identifying members with depression by linking fragmented data sources. Aligning multiple indicators provided a more comprehensive identification and a more nuanced severity evaluation compared to individual data elements. This enables targeting of cost-effective digital self-care tools to milder cases while reserving higher cost interventions for the most severely ill, potentially reducing costs while maintaining health outcomes. Implementation of this integrative platform can help focus efforts on those with the highest need and bridge the gap in treating depression.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Appreciation to Reviewers.","authors":"","doi":"10.1007/s11414-025-09969-9","DOIUrl":"https://doi.org/10.1007/s11414-025-09969-9","url":null,"abstract":"","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145070833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brigid R Marriott, Allison E Meyer, Amanda Feagans, Brielle L Batch, Zachary W Adams
{"title":"Characterizing Fidelity Monitoring Practices in Community Behavioral Health Care.","authors":"Brigid R Marriott, Allison E Meyer, Amanda Feagans, Brielle L Batch, Zachary W Adams","doi":"10.1007/s11414-025-09967-x","DOIUrl":"https://doi.org/10.1007/s11414-025-09967-x","url":null,"abstract":"<p><p>Evidence-based practices (EBPs) are most effective when they are delivered with a high degree of fidelity, or as they are intended to be delivered. Because clinicians often deviate from fidelity, it is important to monitor EBP fidelity over time to guide corrective actions. However, little is known about current fidelity monitoring practices in community behavioral health care. The current study used a mixed methods approach to characterize current fidelity monitoring practices, as well as barriers and facilitators to fidelity monitoring, in community behavioral health care agencies. Therapists, supervisors, recovery coaches, executive leaders, and agency leaders (N = 191) from multiple agencies in a Midwestern state completed a survey measuring current fidelity monitoring methods at their agency and perceived acceptability and feasibility of potential fidelity monitoring methods and strategies. Additionally, agency leaders, supervisors, and therapists (N = 10) within the state and leaders of intermediary organizations (N = 11) across the United States participated in individual qualitative interviews asking about facilitators, barriers, and priorities related to ongoing fidelity monitoring. Most respondents indicated their agency currently monitors what practices are being delivered, with self-report and chart review the most frequently reported methods used and session recordings and role-play assessment the least-frequently endorsed. Mixed methods results revealed common barriers to and potential strategies for facilitating fidelity monitoring efforts at the clinician-, agency-, and system-level. Findings highlight the need for scalable and sustainable methods for monitoring fidelity and the need for multi-level approaches to support EBP fidelity monitoring in community behavioral health settings.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145034367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prism Model: Factors that Influence Teaming in Behavioral Health from the Perspectives of Interprofessional Clinicians.","authors":"Julie Berrett-Abebe, Jocelyn Novella, Michelle Pagnotta","doi":"10.1007/s11414-025-09964-0","DOIUrl":"https://doi.org/10.1007/s11414-025-09964-0","url":null,"abstract":"<p><p>This qualitative study explores what factors influence teaming in behavioral health settings, from the perspective of behavioral health providers. Twenty-four participants from a range of behavioral health professions engaged in semi-structured interviews. Using a grounded theory approach, data were analyzed, and a \"prism\" model was developed to capture the complexities of behavioral health providers' perceptions of factors influencing teaming in various mental health and/or substance use disorder treatment programs. Specific model components included: behavioral health context, individual factors, navigating disciplinary-specific approaches, workplace structures, communication as a \"throughline,\" and varied perceptions of teaming. The prism model is dynamic, acknowledging the role of the individual in the system while also recognizing that participant perceptions of teaming are shaped by environmental and contextual forces. Each pathway is singular, with a variety of interacting factors. A key finding is that while teaming was viewed positively, there was no shared understanding of what teaming meant or whether it was occurring. The article concludes with implications for behavioral health education and practice, including support for new models of behavioral health care that incentivize teaming, expand community supports and peer workforce, prioritize the goals of recovery and wellness, and provide opportunities for more flexible financing.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145034372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bonnie Horgos, Michael Van Wert, Jennifer Wiseman, Jillian Wright, Emily Gus, Kristian Markon, Julie Rohovit
{"title":"Disparities in Utilization of Recovery Residences among People Attending an Intensive Outpatient Program for Co-occurring Disorders.","authors":"Bonnie Horgos, Michael Van Wert, Jennifer Wiseman, Jillian Wright, Emily Gus, Kristian Markon, Julie Rohovit","doi":"10.1007/s11414-025-09970-2","DOIUrl":"https://doi.org/10.1007/s11414-025-09970-2","url":null,"abstract":"<p><p>People with mental health and substance use disorders (SUDs) experience worse outcomes, including increased mortality risk, compared to those with SUDs alone. Access to safe, stable housing, in conjunction with treatment, such as intensive outpatient programs (IOP), is vital in early recovery. Nevertheless, those with historically marginalized identities may experience increased disparities in accessing and utilizing services. The aim of this study was to examine disparities in the utilization of recovery residences among adults receiving treatment for mental health disorders and SUDs in an IOP. Participants (n = 2803) were recruited as part of an ongoing program evaluation at a large Midwestern treatment agency offering to cover some of the monthly cost of living in independently operated recovery residences while admitted to the IOP. Collected data included demographic information and outcome variables. Logistic regression models examined factors associated with recovery residence enrollment. Most participants (80.5%, n = 2258) lived in a recovery residence during IOP. People who were female, Black-only, multiracial, had less education, or a legal history were less likely to live in recovery residences. Those with a prior treatment history, recently unhoused, or with more days abstinent from substances were more likely to live in recovery residences. In short, even with reduced cost barriers, disparities persist in the utilization of recovery residences in conjunction with IOPs, particularly those from historically marginalized groups. Future research should prioritize understanding this utilization gap and developing effective strategies to support individuals in utilizing recovery residences alongside IOP for improved outcomes.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George Pro, Corey Hayes, Mofan Gu, Roberto Bravo, Jure Baloh
{"title":"Geographic and Policy Factors Influence Telehealth Availability for Substance Use Disorder Treatment.","authors":"George Pro, Corey Hayes, Mofan Gu, Roberto Bravo, Jure Baloh","doi":"10.1007/s11414-025-09966-y","DOIUrl":"https://doi.org/10.1007/s11414-025-09966-y","url":null,"abstract":"<p><p>Telehealth is increasingly a standard and routine clinical option, indicating a changing outlook for SUD treatment from in-person to the more convenient option of telehealth. As populations across geographies increasingly prefer telehealth, more research is warranted that focuses on how where a person lives is associated with telehealth availability. The authors used the Mental Health and Addiction Treatment Tracking Repository (MATTR 2024) to identify telehealth availability among all known licensed SUD treatment facilities in the USA (N = 10,492 facilities). The authors merged external geocoded data to MATTR to characterize the communities and spaces immediately surrounding each facility, including social vulnerability indices (census tract), population demographics (county), and state-level telehealth policies. Multilevel multivariable logistic regression was used to model telehealth availability. Roughly 4 out of 5 treatment facilities (81%) offered telehealth. At the census tract level, for every additional point on the racial/ethnic minority status vulnerability scale, the odds of a facility offering telehealth decreased by 4% (aOR = 0.96, 95% CI = 0.93-0.99, p = 0.02). Compared to states with substantial legal barriers about starting telehealth by any mode, facilities in states with stronger, innovation-ready laws had higher odds of offering telehealth (aOR = 1.47, 95% CI = 1.13-1.92, p < 0.01). Similarly, facilities in states that minimize barriers to allowing nurses to practice and use telehealth independently had higher odds of offering telehealth (aOR = 1.42, 95% CI = 1.09-1.84, p < 0.01). State-level health policies impact access to SUD care in a multitude of ways, and new policies that promote telehealth by minimizing barriers to service delivery will benefit people in need of SUD treatment.</p>","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Power of One-ness.","authors":"Chuck Ingoglia","doi":"10.1007/s11414-025-09968-w","DOIUrl":"https://doi.org/10.1007/s11414-025-09968-w","url":null,"abstract":"","PeriodicalId":49040,"journal":{"name":"Journal of Behavioral Health Services & Research","volume":" ","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144975415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}