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Teigland C, Mohammadi I, Agatep BC, Boskovic DH, Velligan D. Relationship between social determinants of health and hospitalizations and costs in patients with major depressive disorder. J Manag Care Spec Pharm 2024; 30:978-990. [PMID: 39213148 PMCID: PMC11365563 DOI: 10.18553/jmcp.2024.30.9.978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
BACKGROUND The relationship of patient characteristics and social determinants of health (SDOH) with hospitalizations and costs in patients with major depressive disorder (MDD) has not been assessed using real-world data. OBJECTIVE To identify factors associated with higher hospitalizations and costs in patients with MDD. METHODS A retrospective observational study identified patients aged 18 years and older newly diagnosed with MDD between July 1, 2016, and December 31, 2018. SDOH were linked to patients at the "near-neighborhood" level. Multivariable models assessed association of patient characteristics with hospitalizations (incidence rate ratios [95% CI]) and costs (cost ratios [95% CI]). RESULTS Of 1,958,532 patients with MDD, 49.6% had Commercial and 50.4% Medicaid insurance; mean ages were similar (43.9; 43.4) with more female patients (67.6%; 70.5%). MDD patients with Commercial insurance had a mean household income of $75,044; 53.2% were married; 76.5% owned their home; 64.4% completed high school or less; and 2.8% had limited English-language proficiency (LEP). Patients covered by Medicaid had a household income of $46,708; 68.1% lived alone with 41.6% married; 54.6% owned their home; more than 4-in-5 patients (80.8%) completed high school or less, and 6.3% had LEP. Nearly one-third of Medicaid insured patients with MDD had at least 1 hospitalization (29.6%) with a mean length of stay 6.8 days; total health care costs were $21,467 annually. Commercially insured patients with MDD had 14.7% hospitalization rates with a length of stay of 5.9 days; total costs were $14,531. Multivariable models show female patients are less likely (Commercial 0.87; Medicaid 0.80; P < 0.05), and patients with more comorbidities are more likely to be hospitalized (Commercial 1.33; Medicaid 1.27; P < 0.05). All treatment classes relative to antidepressants only increased likelihood of hospitalizations-particularly antipsychotic+antianxiety use (Commercial 2.99; Medicaid 2.29)-and costs (Commercial 2.32; Medicaid 2.00) (all P < 0.05). Household income was inversely associated with hospitalizations for both insured populations. LEP reduced the likelihood of hospitalizations by more than 70% among Medicaid patients (0.27, P < 0.05) and was associated with higher costs for Commercial (2.01) but lower costs for Medicaid (0.37) (P < 0.05). Living in areas with no shortage of mental health practitioners was associated with higher hospitalizations and costs. CONCLUSIONS We identified patient characteristics associated with higher rates of hospitalizations and costs in patients with MDD in 2 insured populations. Female sex, higher comorbidities, and living in areas with no shortage of mental health practitioners were associated with higher hospitalizations and costs, whereas income was inversely associated with hospitalizations. The findings suggest disparities in access to care related to income, LEP, and availability of mental health practitioners that should be addressed to assure equitable care for patients with MDD.
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Affiliation(s)
| | | | | | | | - Dawn Velligan
- Department of Psychiatry, University of Texas Health Science Center at San Antonio
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Peralta V, de Jalón EG, Moreno-Izco L, Peralta D, Janda L, Sánchez-Torres AM, Cuesta MJ. Social exclusion as a major outcome domain of psychotic disorders: early predictors, and associations with non-recovery and clinical staging 21 years after a first episode of psychosis. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02650-0. [PMID: 38772974 DOI: 10.1007/s00127-024-02650-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/03/2024] [Indexed: 05/23/2024]
Abstract
PURPOSE People with psychotic disorders have high levels of social exclusion; however, little is known about its early predictors. We present a long-term observational cohort study aimed at examining early risk factors for later social exclusion. METHODS A total of 243 subjects were assessed at their first psychotic episode for early risk factors including sociodemographic variables, familial risk of major mental disorders, perinatal complications, childhood factors, and adolescent factors and re-assessed after a mean follow-up of 21 years for 12 social exclusion domains: leisure activities, housing, work, income, neighborhood deprivation, educational attainment, physical and mental health, family and social support, legal competence, and discrimination. The ability of risk factors to predict social exclusion was examined using hierarchical linear regression. RESULTS Overall social exclusion was independently predicted by low parental socio-economic status, length of follow-up, familial risk of schizophrenia, obstetric complications, neurodevelopmental delay, poor childhood adjustment, childhood adversity, poor adolescent social networks, poor adolescent adjustment, and low premorbid IQ. The model explained 58.2% of the variance in total social exclusion score. Each social exclusion domain was predicted by a different set of variables, which explained between 17.8 and 57.0% of their variance, although low socio-economic status, familial risk of schizophrenia, obstetric complications, childhood adversity, and poor social networks predicted most of the social exclusion domains. CONCLUSION Early risk factors strongly predicted later social exclusion. A multifaceted approach to preventing later social exclusion is crucial in people with a first episode of psychosis and early risk factors of social exclusion.
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Affiliation(s)
- Victor Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain.
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
| | - Elena García de Jalón
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Lucía Moreno-Izco
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
| | - David Peralta
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Lucía Janda
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
| | - Ana M Sánchez-Torres
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Departamento de Ciencias de la Salud, Universidad Pública de Navarra (UPNA), Campus de Arrosadia, 31006, Pamplona, Spain
| | - Manuel J Cuesta
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain
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3
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Bogoian HR, Barber SJ, Carter SE, Mingo C, Rosano C, Dotson VM. Association of white matter hyperintensities and clinical vascular burden with depressive symptoms in Black older adults. Int J Geriatr Psychiatry 2024; 39:e6052. [PMID: 38165121 PMCID: PMC10947565 DOI: 10.1002/gps.6052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES Black older adults have a higher vascular burden compared to non-Hispanic White (NHW) older adults, which may put them at risk for a form of depression known as vascular depression (VaDep). The literature examining VaDep in Black older adults is sparse. The current study addressed this important gap by examining whether vascular burden was associated with depressive symptoms in Black older adults. METHODS Participants included 113 Black older adults from the Healthy Brain Project, a substudy of the Health, Aging, and Body Composition Study. In multiple regression analyses, clinical vascular burden (sum of vascular conditions) and white matter hyperintensity (WMH) volume predicted depressive symptoms as measured by the Center for Epidemiologic Studies Depression Scale, controlling for demographic variables. Follow-up analyses compared the associations in the Black subsample and in 179 NHW older adults. RESULTS Higher total WMH volume, but not clinically-defined vascular burden, predicted higher concurrent depressive symptoms and higher average depressive symptoms over 4 years. Similar associations were found between uncinate fasciculus (UF) WMHs and concurrent depressive symptoms and between superior longitudinal fasciculus WMHs and average depressive symptoms. The association between depressive symptoms and UF WMH was stronger in Black compared to NHW individuals. CONCLUSION This research is consistent with the VaDep hypothesis and extends it to Black older adults, a group that has historically been underrepresented in the literature. Results highlight WMH in the UF as particularly relevant to depressive symptoms in Black older adults and suggest this group may be particularly vulnerable to the negative effects of WMH.
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Affiliation(s)
- Hannah R. Bogoian
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Sarah J. Barber
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
| | - Sierra E. Carter
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Chivon Mingo
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
| | - Caterina Rosano
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Vonetta M. Dotson
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
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Williams CD, DeLaney EN, Moreno O, Santana A, Fuentes L, Muñoz G, Elias MDJ, Johnson KF, Peterson RE, Hood KB, Vassileva J, Dick DM, Amstadter AB. Interactions between COVID-19 family home disruptions and relationships predicting college students' mental health over time. JOURNAL OF FAMILY PSYCHOLOGY : JFP : JOURNAL OF THE DIVISION OF FAMILY PSYCHOLOGY OF THE AMERICAN PSYCHOLOGICAL ASSOCIATION (DIVISION 43) 2023; 37:592-602. [PMID: 37213173 PMCID: PMC10524332 DOI: 10.1037/fam0001085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The present study tested whether family home disruptions during the COVID-19 pandemic in the Spring 2020 (Time 1; T1) informed mental health (i.e., posttraumatic stress disorder [PTSD], depressive, and anxiety symptoms) 7 months later in Fall 2020 at T2 and whether family relationship quality moderated relations. Multigroup path analysis models were used to test whether there were significant differences in relations by emerging adults' ethnic-racial backgrounds. Participants were 811 Black, Asian American, Latine, and White emerging adult college students (Mage = 19.95, SD = .33), and the majority (79.6%) who reported their gender identified as cisgender women. Results indicated that across all individuals, T1 family relationship quality moderated relations between T1 family home disruptions and T2 anxiety and depressive symptoms. At lower levels of T1 family relationship quality, family home disruptions predicted greater T2 depressive and anxiety symptoms. At higher levels of T1 family relationship quality, these relations were not significant. Findings highlight that family relationship quality is an important protective factor for diverse emerging adult college students. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Eryn N DeLaney
- Department of Psychology, Virginia Commonwealth University
| | - Oswaldo Moreno
- Department of Psychology, Virginia Commonwealth University
| | | | - Lisa Fuentes
- Department of Psychology, Virginia Commonwealth University
| | - Geovani Muñoz
- Department of Psychology, Virginia Commonwealth University
| | | | | | | | | | | | - Danielle M Dick
- Department of Human and Molecular Genetics, Virginia Commonwealth University
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Jester DJ, Thomas ML, Sturm ET, Harvey PD, Keshavan M, Davis BJ, Saxena S, Tampi R, Leutwyler H, Compton MT, Palmer BW, Jeste DV. Review of Major Social Determinants of Health in Schizophrenia-Spectrum Psychotic Disorders: I. Clinical Outcomes. Schizophr Bull 2023; 49:837-850. [PMID: 37022779 PMCID: PMC10318890 DOI: 10.1093/schbul/sbad023] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
BACKGROUND Social determinants of health (SDoHs) are receiving growing attention and are particularly relevant to persons with schizophrenia-spectrum psychotic disorders (SSPDs), considering their heightened risk of comorbidities, cognitive and functional decline, and early mortality. Yet, we did not find any comprehensive review of multiple SDoHs in SSPD. STUDY DESIGN We conducted a scoping review of meta-analyses and systematic reviews of nine major SDoHs in SSPD. STUDY RESULTS Childhood abuse, parental psychopathology, parental communication problems, bullying, and urban settings with lower socioeconomic status were major risk factors for the greater incidence of SSPD and/or worse health. Social network size was inversely associated with overall psychopathology and negative symptoms. Experiences of racial/ethnic discrimination correlated with the prevalence of psychotic symptoms and experiences. Compared to native populations, the risk of psychosis was higher in immigrants, refugees, and asylees. Social fragmentation was associated with an increased prevalence of schizophrenia. Homeless populations had a 30-fold higher prevalence of schizophrenia than the general population. Seriously mentally ill people were 2.7 times more likely to report food insecurity than controls. The prevalence of non-affective psychosis in prisoners was 2.0%-6.5%, compared to 0.3% in the general population. Certain potentially positive factors like family and community resilience remain poorly studied. CONCLUSIONS SDoHs are associated with higher rates of and worse outcomes in SSPD. Well-designed longitudinal studies are needed to understand SDoHs' contribution to health in persons with SSPD, to develop interventions, and to implement changes in clinical care and public health policies that would reduce adverse health impacts of SDoHs. Positive SDoHs deserve greater attention.
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Affiliation(s)
- Dylan J Jester
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Michael L Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Emily T Sturm
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, and Research Service, Bruce W. Carter Miami VA Medical Center, Miami, FL, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess medical Center and Harvard Medical School, Boston, MA, USA
| | - Beshaun J Davis
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shekhar Saxena
- Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Rajesh Tampi
- Department of Psychiatry, Creighton University School of Medicine, Omaha, NE, USA
| | - Heather Leutwyler
- Department of Physiological Nursing, University of California, San Francisco, CA, USA
| | - Michael T Compton
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Barton W Palmer
- Department of Psychiatry, University of California, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Mental Illness Research, Education, and Clinical Center, San Diego, CA, USA
| | - Dilip V Jeste
- Department of Psychiatry, University of California, San Diego, CA, USA
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Pilar M, Jost E, Walsh-Bailey C, Powell BJ, Mazzucca S, Eyler A, Purtle J, Allen P, Brownson RC. Quantitative measures used in empirical evaluations of mental health policy implementation: A systematic review. IMPLEMENTATION RESEARCH AND PRACTICE 2022; 3:26334895221141116. [PMID: 37091091 PMCID: PMC9924289 DOI: 10.1177/26334895221141116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background Mental health is a critical component of wellness. Public policies present an opportunity for large-scale mental health impact, but policy implementation is complex and can vary significantly across contexts, making it crucial to evaluate implementation. The objective of this study was to (1) identify quantitative measurement tools used to evaluate the implementation of public mental health policies; (2) describe implementation determinants and outcomes assessed in the measures; and (3) assess the pragmatic and psychometric quality of identified measures. Method Guided by the Consolidated Framework for Implementation Research, Policy Implementation Determinants Framework, and Implementation Outcomes Framework, we conducted a systematic review of peer-reviewed journal articles published in 1995-2020. Data extracted included study characteristics, measure development and testing, implementation determinants and outcomes, and measure quality using the Psychometric and Pragmatic Evidence Rating Scale. Results We identified 34 tools from 25 articles, which were designed for mental health policies or used to evaluate constructs that impact implementation. Many measures lacked information regarding measurement development and testing. The most assessed implementation determinants were readiness for implementation, which encompassed training (n = 20, 57%) and other resources (n = 12, 34%), actor relationships/networks (n = 15, 43%), and organizational culture and climate (n = 11, 31%). Fidelity was the most prevalent implementation outcome (n = 9, 26%), followed by penetration (n = 8, 23%) and acceptability (n = 7, 20%). Apart from internal consistency and sample norms, psychometric properties were frequently unreported. Most measures were accessible and brief, though minimal information was provided regarding interpreting scores, handling missing data, or training needed to administer tools. Conclusions This work contributes to the nascent field of policy-focused implementation science by providing an overview of existing measurement tools used to evaluate mental health policy implementation and recommendations for measure development and refinement. To advance this field, more valid, reliable, and pragmatic measures are needed to evaluate policy implementation and close the policy-to-practice gap. Plain Language Summary Mental health is a critical component of wellness, and public policies present an opportunity to improve mental health on a large scale. Policy implementation is complex because it involves action by multiple entities at several levels of society. Policy implementation is also challenging because it can be impacted by many factors, such as political will, stakeholder relationships, and resources available for implementation. Because of these factors, implementation can vary between locations, such as states or countries. It is crucial to evaluate policy implementation, thus we conducted a systematic review to identify and evaluate the quality of measurement tools used in mental health policy implementation studies. Our search and screening procedures resulted in 34 measurement tools. We rated their quality to determine if these tools were practical to use and would yield consistent (i.e., reliable) and accurate (i.e., valid) data. These tools most frequently assessed whether implementing organizations complied with policy mandates and whether organizations had the training and other resources required to implement a policy. Though many were relatively brief and available at little-to-no cost, these findings highlight that more reliable, valid, and practical measurement tools are needed to assess and inform mental health policy implementation. Findings from this review can guide future efforts to select or develop policy implementation measures.
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Affiliation(s)
- Meagan Pilar
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
- Department of Infectious Diseases, Washington University School of Medicine,
Washington University in St. Louis, St. Louis, MO, USA
| | - Eliot Jost
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
| | - Callie Walsh-Bailey
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
| | - Byron J. Powell
- Center for Mental Health Services Research, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
- Division of Infectious Diseases, John T. Milliken Department of
Medicine, Washington University School of Medicine, Washington University in St.
Louis, St. Louis, MO, USA
| | - Stephanie Mazzucca
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
| | - Amy Eyler
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
| | - Jonathan Purtle
- Department of Public Health Policy & Management, New York
University School of Global Public Health, Global Center for Implementation Science, New York University, New York, NY, USA
| | - Peg Allen
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
| | - Ross C. Brownson
- Prevention Research Center, Brown School, Washington University in St.
Louis, St. Louis, MO, USA
- Department of Surgery (Division of Public Health Sciences) and Alvin
J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St.
Louis, St. Louis, MO, USA
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Fortuna KL, Naslund JA, LaCroix JM, Bianco CL, Brooks JM, Zisman-Ilani Y, Muralidharan A, Deegan P. Digital Peer Support Mental Health Interventions for People With a Lived Experience of a Serious Mental Illness: Systematic Review. JMIR Ment Health 2020; 7:e16460. [PMID: 32243256 PMCID: PMC7165313 DOI: 10.2196/16460] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/27/2019] [Accepted: 01/01/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Peer support is recognized globally as an essential recovery service for people with mental health conditions. With the influx of digital mental health services changing the way mental health care is delivered, peer supporters are increasingly using technology to deliver peer support. In light of these technological advances, there is a need to review and synthesize the emergent evidence for peer-supported digital health interventions for adults with mental health conditions. OBJECTIVE The aim of this study was to identify and review the evidence of digital peer support interventions for people with a lived experience of a serious mental illness. METHODS This systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedures. The PubMed, Embase, Web of Science, Cochrane Central, CINAHL, and PsycINFO databases were searched for peer-reviewed articles published between 1946 and December 2018 that examined digital peer support interventions for people with a lived experience of a serious mental illness. Additional articles were found by searching the reference lists from the 27 articles that met the inclusion criteria and a Google Scholar search in June 2019. Participants, interventions, comparisons, outcomes, and study design (PICOS) criteria were used to assess study eligibility. Two authors independently screened titles and abstracts, and reviewed all full-text articles meeting the inclusion criteria. Discrepancies were discussed and resolved. All included studies were assessed for methodological quality using the Methodological Quality Rating Scale. RESULTS A total of 30 studies (11 randomized controlled trials, 2 quasiexperimental, 15 pre-post designs, and 2 qualitative studies) were included that reported on 24 interventions. Most of the studies demonstrated feasibility, acceptability, and preliminary effectiveness of peer-to-peer networks, peer-delivered interventions supported with technology, and use of asynchronous and synchronous technologies. CONCLUSIONS Digital peer support interventions appear to be feasible and acceptable, with strong potential for clinical effectiveness. However, the field is in the early stages of development and requires well-powered efficacy and clinical effectiveness trials. TRIAL REGISTRATION PROSPERO CRD42020139037; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID= 139037.
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Affiliation(s)
| | - John A Naslund
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, United States
| | - Jessica M LaCroix
- Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Rockville, MD, United States
| | - Cynthia L Bianco
- The Giesel School of Medicine, Dartmouth College, Concord, NH, United States
| | - Jessica M Brooks
- Geriatric Research, Education and Clinical Center, James J Peters VA Medical Center, New York, NY, United States
| | - Yaara Zisman-Ilani
- Department of Social and Behavioral Sciences, College of Public Health, Temple University, Philadelphia, PA, United States
| | - Anjana Muralidharan
- Department of Medical & Clinical Psychology, Uniformed Services University of the Health Sciences, Rockville, MD, United States
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