Lindsay Brindley, Paul Bauer, Alan J. Card, John Crocker, Nick Ialongo, Allen Tien
{"title":"Bridging K-12 Student Mental Health Policy to Practice Gaps with a Multi-Component Framework","authors":"Lindsay Brindley, Paul Bauer, Alan J. Card, John Crocker, Nick Ialongo, Allen Tien","doi":"10.1007/s10488-024-01396-w","DOIUrl":"10.1007/s10488-024-01396-w","url":null,"abstract":"<div><p>K-12 schools are a major sector for efforts to prevent and treat student mental health problems. In the United States, these efforts have led to the emergence of the MultiTiered System of Supports (MTSS) universal prevention, early intervention, and treatment policy framework. With a major focus on behavioral and mental health, MTSS has been adopted by all fifty state education departments. However, multi-level complexities of addressing student mental health within and across organizational structures complicate MTSS and broader policy development, implementation, and evaluation; disconnects between policy writers and practitioners obstruct progress, limiting positive outcomes. To bridge these policy-to-practice gaps, a multi-component solution is needed. The authors propose integrating the following elements: the Massachusetts School Mental Health Consortium’s Five Guiding Principles for Building a Coordinated School Mental Health System, the comprehensive school improvement methodology Evolutionary Systems Improvement (ESI); and the ontological framework of BioPsychoSocioTechnical Systems Theory (BPST). Individual application of these components has already yielded systems-level improvements outperforming compliance-driven procedures. Used together, these components offer a multi-level solution for establishing conceptually-guided, measurement-based loops that transcend the restrictions of uninformed policy, supporting stakeholders as they work to systematically eliminate barriers and improve student mental health.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"1011 - 1019"},"PeriodicalIF":2.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10488-024-01396-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Taylor Kelley, Michael P. Torre, Todd H. Wagner, Amy K. Rosen, Michael Shwartz, Chao-Chin Lu, Todd K. Brown, Tianyu Zheng, Erin Beilstein-Wedel, Megan E. Vanneman
{"title":"Trends in Bundled Outpatient Behavioral Health Services in VA-Direct Versus VA-Purchased Care","authors":"A. Taylor Kelley, Michael P. Torre, Todd H. Wagner, Amy K. Rosen, Michael Shwartz, Chao-Chin Lu, Todd K. Brown, Tianyu Zheng, Erin Beilstein-Wedel, Megan E. Vanneman","doi":"10.1007/s10488-024-01404-z","DOIUrl":"10.1007/s10488-024-01404-z","url":null,"abstract":"<div><p>The Veterans Health Administration (VA) increasingly purchases community-based care (CC) to improve healthcare access, including behavioral health. In 2018, VA introduced standardized episodes of care (SEOCs) to guide authorization and purchase of CC services for specific indications in a defined timeframe without bundling payment. In this retrospective cross-sectional study, we describe trends in VA and CC behavioral healthcare utilization using the VA Outpatient Psychiatry SEOC definition. Counts of Outpatient Psychiatry SEOC-allowable service and procedure codes during fiscal years 2016–2019 were organized according to four SEOC-defined service types (evaluation and management, laboratory services, psychiatry services, transitional care) and measured as percentages of all included codes. Trends comparing behavioral healthcare utilization between Veterans using any CC versus VA only were analyzed using a linear mixed effects model. We identified nearly 3 million Veterans who registered 60 million qualifying service and procedure codes, with overall utilization increasing 77.8% in CC versus 5.2% in VA. Veterans receiving any CC comprised 3.9% of the cohort and 4.7% of all utilization. When examining service type as a percent of all Outpatient Psychiatry SEOC-allowable care among Veterans using CC, psychiatry services increased 12.2%, while transitional care decreased 8.8%. In regression analysis, shifts in service type utilization reflected descriptive results but with attenuated effect sizes. In sum, Outpatient Psychiatry SEOC-allowable service utilization grew, and service type composition changed, significantly more in CC than in VA. The role of SEOCs and their incentives may be important when evaluating future behavioral healthcare quality and value in bundled services.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"998 - 1010"},"PeriodicalIF":2.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141900594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pauline D. Janse, Sophie Vercauteren, Rianne Weggemans, Bea G. Tiemens
{"title":"Early Change as a Predictor of Treatment Outcome in Patients with a Personality Disorder","authors":"Pauline D. Janse, Sophie Vercauteren, Rianne Weggemans, Bea G. Tiemens","doi":"10.1007/s10488-024-01401-2","DOIUrl":"10.1007/s10488-024-01401-2","url":null,"abstract":"<div><p>A significant proportion of patients with a personality disorder do not benefit from treatment. Monitoring treatment progress can help adjust ineffective treatments. This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. Data from 841 patients who received specialized treatment for personality disorders were analyzed. The study focused on whether changes in the Outcome Questionnaire-45.2 (OQ-45.2) symptom distress scale (SD), the General Assessment of Personality Disorder (GAPD), and Severity Indices of Personality Problems (SIPP) in the early phase of therapy predicted post-treatment personality dysfunction, as measured by the SIPP and GAPD. Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. For the GAPD, early changes on the GAPD itself, followed by early changes on the OQ-45 SD and the SIPP domain Social Attunement, were significant predictors. Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. While the OQ-45 predicted some aspects of personality dysfunction, it should not replace disorder-specific measures. Additionally, the SIPP domains and the GAPD should not be used interchangeably to predict each other. In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 5","pages":"780 - 791"},"PeriodicalIF":2.0,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141896398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah Cusworth Walker, Lawrence Wissow, Noah R. Gubner, Sally Ngo, Peter Szatmari, Chiara Servili
{"title":"Scale-up of Global Child and Youth Mental Health Services: A Scoping Review","authors":"Sarah Cusworth Walker, Lawrence Wissow, Noah R. Gubner, Sally Ngo, Peter Szatmari, Chiara Servili","doi":"10.1007/s10488-024-01400-3","DOIUrl":"10.1007/s10488-024-01400-3","url":null,"abstract":"<div><p>Numerous influential policy and scientific bodies are calling for more rapid advances in the scale-up of child and youth mental health services (CYMHS). A number of CYMHS innovations hold promise for advancing scale-up but little is known about how real-world efforts are progressing. We conducted a scoping review to identify promising approaches to CYMHS scale-up across the globe. Searches were completed in six databases (Academic Search Complete, CINAHL, MEDLINE, PsychInfo, PubMed, and Web of Science). Article selection and synthesis were conducted in accordance to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) checklist. A second search focused on low-and-middle-income countries (LMIC) was conducted based on the Cochrane Library recommended search filters of the World Bank listed LMIC countries. Authors used a double coding strategy during the title/abstract and full-text review. Twenty-eight articles meeting the eligibility criteria were identified that described 22 initiatives (in 11 different countries). Our review found the majority of published scale-up studies in CYMHS were not informed by scale-up frameworks in design or reporting. The methods and outcomes used in the identified articles were highly variable and limited our ability to draw conclusions about comparative effectiveness although promising approaches emerged. Successes and failures identified in our review largely reflect consensus in the broader literature regarding the need for strategies to better navigate the complexities of system and policy implementation while ensuring CYMHS interventions fit local contexts.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"935 - 969"},"PeriodicalIF":2.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10488-024-01400-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141892617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marieke van Geffen, Hester V. Eeren, Joost Hutsebaut, Odette Brand-de Wilde
{"title":"Designing a Measurement Feedback System for Personality Disorders: Should Outcome Monitoring be Based on Symptom Severity or Personality Functioning?","authors":"Marieke van Geffen, Hester V. Eeren, Joost Hutsebaut, Odette Brand-de Wilde","doi":"10.1007/s10488-024-01406-x","DOIUrl":"10.1007/s10488-024-01406-x","url":null,"abstract":"<div><p>Measurement feedback systems (MFS) providing insight in treatment progress can improve mental healthcare outcomes. However, there is no uniform measurement feedback system that could be used to measure treatment progress for personality disorders (PD). This study compared two types of measures: a generic measure for symptom severity (Brief Symptom Index, BSI) and a specific measure for personality functioning (Severity Indices of Personality Problems, SIPP) at different points in time in order to provide insight in the most suitable measuring moment for a MFS for PD. This study is conducted in a sample of 996 Dutch PD patients (mean age 33.51 (SD 10.42), 73.1% female). Symptom severity and personality functioning were assessed before and multiple times during treatment, using a timespan of 24 months. Outcomes were examined over time using multilevel modeling. Symptom severity (generic measure) and personality functioning (specific measure) improved equally after 24 months. However, during these 24 months, different patterns of change were observed for symptom severity compared to severity of personality problems. In general, symptom severity decreased most during the 1st months of treatment, whereas personality functioning improved only after 6 months of treatment. A generic instrument of symptom severity is able to measure early changes in symptom distress but may not be able to measure longer term changes in personality functioning. The authors discuss policy implications for benchmarking using specific measures in the treatment of personality disorders.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"52 1","pages":"241 - 251"},"PeriodicalIF":2.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141892616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna S. Lau, Teresa Lind, Julia Cox, Mojdeh Motamedi, Joyce H. L. Lui, Colby Chlebowski, Ashley Flores, Devynne Diaz, Scott Roesch, Lauren Brookman-Frazee
{"title":"Validating a Pragmatic Measure of Evidence-Based Practice (EBP) Delivery: Therapist Reports of EBP Strategy Delivery and Associations with Child Outcome Trajectories","authors":"Anna S. Lau, Teresa Lind, Julia Cox, Mojdeh Motamedi, Joyce H. L. Lui, Colby Chlebowski, Ashley Flores, Devynne Diaz, Scott Roesch, Lauren Brookman-Frazee","doi":"10.1007/s10488-024-01395-x","DOIUrl":"10.1007/s10488-024-01395-x","url":null,"abstract":"<div><p>Pragmatic measures of evidence-based practice (EBP) implementation can support and evaluate implementation efforts. We examined the predictive validity of therapist reports of EBP strategy delivery for children’s mental health outcomes. Data were obtained from 1,380 sessions with 248 children delivered by 76 therapists in two county systems. Children (<i>M</i><sub><i>age</i></sub>=11.8 years, <i>SD</i> = 3.7) presented with internalizing (52%), externalizing (27%), trauma (16%), and other (5%) concerns. Therapists reported their delivery of EBP strategies on a revised version of the EBP Concordant Care Assessment (ECCA; Brookman-Frazee, et al., <i>Administration and Policy in Mental Health and Mental Health Services Research</i>, <i>48</i>, 155–170, 2021) that included 25 content (e.g., parenting, cognitive behavioral) and 12 technique strategies (e.g., modeling, practice/role-play). On average, 5.6 ECCA session reports (<i>SD</i> = 2.3) were obtained for each client, and caregivers reported symptoms on the Brief Problem Checklist (Chorpita, et al., <i>Journal of Consulting and Clinical Psychology</i>, <i>78</i>(4), 526–536, 2010) at baseline, weekly over two months, and again at four months. Multilevel models examined whether the mean extensiveness of each EBP strategy predicted trajectories of child outcomes. More individual technique (6 of 12) than content strategies (1 of 25) were associated with outcome trajectories. For techniques, more extensive use of Performance Feedback and Live Coaching and less extensive use of Addressing Barriers were associated with greater declines in total symptoms, and more extensive use of Establishing/Reviewing Goals, Tracking/Reviewing Progress, and Assigning/Reviewing Homework was associated with declines in externalizing symptoms. For content, more extensive use of Cognitive Restructuring was associated with declines in total symptoms. In addition, higher average extensiveness ratings of the top content strategy across sessions was associated with greater declines in total and externalizing symptoms. Therapist-reported delivery of some EBP strategies showed evidence of predictive validity and may hold utility in indexing quality of care.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"889 - 905"},"PeriodicalIF":2.0,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141888173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oladunni Oluwoye, Megan Puzia, Ofer Amram, Douglas L. Weeks
{"title":"The Role of Proximity to Coordinated Specialty Care For Early Psychosis And Program Engagement in Washington State: The Interaction of Travel Time, Race, and Ethnicity","authors":"Oladunni Oluwoye, Megan Puzia, Ofer Amram, Douglas L. Weeks","doi":"10.1007/s10488-024-01397-9","DOIUrl":"10.1007/s10488-024-01397-9","url":null,"abstract":"<div><h3>Objective</h3><p>Proximity to mental health services is a predictor of timely access to services. The present study sought to investigate whether travel time was associated with engagement in coordinated specialty care (CSC) for early psychosis, with specific attention to whether the interaction of travel time by race and ethnicity had differential impact.</p><h3>Data Source/Study Setting</h3><p>Data collected between 2019 and 2022 as part of the New Journeys evaluation, the CSC model in Washington State.</p><h3>Study Design</h3><p>This cross-sectional study included a sample of 225 service users with first episode psychosis (FEP) who had received services from New Journeys.</p><h3>Data Collection</h3><p>Service users’ addresses, and the physical location of CSC were geocoded. Spatial proximity was calculated as travel time in minutes. Scheduled appointments, attendance and program status were captured monthly by clinicians as part of the New Journeys measurement battery.</p><h3>Principal Findings</h3><p>Proximity was significantly associated with the number of appointments scheduled and attended, and program status (graduation/completion and disengagement). Among Hispanic service users with spatial proximity further away from CSC (longer commutes) was associated with a lower likelihood of graduating/completing CSC compared to non-Hispanic service users (<i>p</i> = .04). Non-white services users had a higher risk of disengagement from CSC compared to white service users (<i>p</i> = .03); additionally, the effects of spatial proximity on disengagement were amplified for non-White service users (<i>p</i> = .03).</p><h3>Conclusions</h3><p>Findings suggest that proximity is associated with program engagement and partially explains potential differences in program status among ethnoracial group.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"906 - 915"},"PeriodicalIF":2.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine Pickard, Sarah R Edmunds, Quentin Wedderburn, Kerri Wikel, Jennifer Buster, Melissa Maye
{"title":"We Must Consider Infrastructure when Attempting to Scale up Autism EBIs: A Case Example from Early Intervention Systems","authors":"Katherine Pickard, Sarah R Edmunds, Quentin Wedderburn, Kerri Wikel, Jennifer Buster, Melissa Maye","doi":"10.1007/s10488-024-01399-7","DOIUrl":"10.1007/s10488-024-01399-7","url":null,"abstract":"<div><p>In the autism field, there is increasing interest in translating evidence-based interventions (EBIs) into systems that serve young autistic children and their families. Public Early Intervention systems have been a focal point of research-based implementation efforts given that these systems are federally mandated to provide services to children birth to three years of age with developmental delays under Part C of the Individuals with Disabilities Education Act. Although a growing number of research studies are now training Early Intervention providers to deliver autism EBIs, this work has been conducted on a relatively small scale and has only just begun to consider the alignment of these models with Early Intervention systems and whether sufficient infrastructure exists to scale up these training efforts and to sustain their public health impact. This commentary aims to address this gap by reviewing factors that have been found to uniformly impact the scale-up of EBIs across diverse public systems (Fagan <i>20</i>, 1147–1168, 2019), and to extend this framework to the implementation of EBIs within public Early Intervention systems. These factors include developer and funder capacity, the public’s awareness of and support for EBIs, the system’s leadership support for EBI use, the capacity for community engagement in implementation efforts, the availability of a skilled workforce capable of delivering EBIs, and the capacity for data monitoring and quality improvement. This commentary discusses how these factors may specifically impact the scale-up of autism EBIs within EI systems to support toddlers and young, autistic children, and implications for autism researchers.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"1020 - 1024"},"PeriodicalIF":2.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah L. Desmarais, Brandon Morrissey, Evan M. Lowder, Samantha A. Zottola
{"title":"Patterns of Self-Reported Mental Health Symptoms and Treatment among People Booked into a Large Metropolitan County Jail","authors":"Sarah L. Desmarais, Brandon Morrissey, Evan M. Lowder, Samantha A. Zottola","doi":"10.1007/s10488-024-01398-8","DOIUrl":"10.1007/s10488-024-01398-8","url":null,"abstract":"<div><p>The Brief Jail Mental Health Screen (BJMHS) is one of the most well-known and frequently used tools to conduct routine mental health screening at jail intake. In prior research, the BJMHS results typically have been evaluated overall (i.e., yes/no positive screen). However, there is heterogeneity in symptom presentation and treatment histories among people with serious mental illness, and there are potential consequences of this heterogeneity for mental health administration and policy in jails. We conducted a latent class analysis of BJMHS item-level results using administrative data for 37,998 people booked into a southeastern, metropolitan, U.S. county jail over a 3.5-year period. A 4-class solution provided the best fitting and most interpretable model. The largest class (89.5%) comprised people unlikely to report symptoms or treatment histories (<i>limited symptoms</i>). The next class comprised people who were unlikely to report ongoing symptoms but reported medication and hospitalization (<i>managed symptoms</i>). The third class (2.5%) included people likely to report feeling useless/sinful, prior hospitalization, and current psychiatric medication (<i>depressive symptoms</i>). The fourth class (1.0%) comprised people likely to report thought control, paranoia, feeling useless/sinful, medication, and hospitalization (<i>psychotic symptoms</i>). Controlling for sociodemographic and booking characteristics, people in the managed, depressive, and psychotic symptoms classes had significantly longer jail stays compared to those in the limited symptoms class. People in the managed and depressive symptoms classes were at heightened risk of re-arrest compared to the limited symptoms class. Findings can inform case prioritization and the allocation of resources to support efficient and effective jail-based mental health services.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 6","pages":"916 - 934"},"PeriodicalIF":2.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141625635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Javier Fernández-Álvarez, Juan Martín Gómez Penedo, Manuel Meglio, Beatriz Gómez, Anna Babl, Fernando García, Andrés Roussos, Roberto Muiños
{"title":"Intake Characteristics as Predictors of Psychotherapy Outcome in a Practice Research Network in Argentina","authors":"Javier Fernández-Álvarez, Juan Martín Gómez Penedo, Manuel Meglio, Beatriz Gómez, Anna Babl, Fernando García, Andrés Roussos, Roberto Muiños","doi":"10.1007/s10488-024-01394-y","DOIUrl":"10.1007/s10488-024-01394-y","url":null,"abstract":"<div><p>There are few studies exploring intake diagnostic characteristics as predictors of change in integrative naturalistic settings. The aim of this study is to explore baseline variables at the intake process and establish the predictive value of the individual trajectories of the patients. We recruited 259 patients undergoing an integrative psychotherapy network of psychotherapists from Buenos Aires, Argentina. Every therapist completed the intake form of each patient involved in the routine outcome monitoring. Thereafter step-wise regressions based on forward selection strategies were used, in order to identify meaningful baseline predictors of patients’ clinical evolution, derived from the intake process. The selected predictors were social support network, subjective distress, the initial measure of clinical distress, unemployment, sociocultural status and reactance. When including those six variables in a multilevel model, the results indicate that social support network, subjective distress, and the initial measure of clinical distress were significant predictors of the trajectories of OQ-30, whereas unemployment, sociocultural status and reactance were not significant. The results regarding social support network are in line with the literature, while results of socioeconomic status (unemployment and sociocultural level) move in an opposite direction in comparison to the available evidence. Moreover, the mental health findings (initial OQ-30 and subjective distress) confirm the contradictory body of literature produced in this domain. Finally, reactance seems to be a significant predictor in previous study in contradiction of our results. Overall, this endeavor constitutes important but preliminary evidence to enhance the production of bottom-up science within practice research networks in the global south.</p></div>","PeriodicalId":7195,"journal":{"name":"Administration and Policy in Mental Health and Mental Health Services Research","volume":"51 5","pages":"792 - 804"},"PeriodicalIF":2.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141589417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}