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Iturralde E, Rubinsky AD, Nguyen KH, Anderson C, Lyles CR, Mangurian C. Serious Mental Illness, Glycemic Control, and Neighborhood Factors within an Urban Diabetes Cohort. Schizophr Bull 2024; 50:653-662. [PMID: 37597839 PMCID: PMC11059791 DOI: 10.1093/schbul/sbad122] [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] [Indexed: 08/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Serious mental illness (SMI) may compromise diabetes self-management. This study assessed the association between SMI and glycemic control, and explored sociodemographic predictors and geographic clustering of this outcome among patients with and without SMI. STUDY DESIGN We used electronic health record data for adult primary care patients with diabetes from 2 San Francisco health care delivery systems. The primary outcome was poor glycemic control (hemoglobin A1c >9.0%), which was modeled on SMI diagnosis status and sociodemographics. Geospatial analyses examined hotspots of poor glycemic control and neighborhood characteristics. STUDY RESULTS The study included 11 694 participants with diabetes, 21% with comorbid SMI, of whom 22% had a schizophrenia spectrum or bipolar disorder. Median age was 62 years; 52% were female and 79% were Asian, Black, or Hispanic. In adjusted models, having schizophrenia spectrum disorder or bipolar disorder was associated with greater risk for poor glycemic control (vs participants without SMI, adjusted relative risk [aRR] = 1.24; 95% confidence interval, 1.02, 1.49), but having broadly defined SMI was not. People with and without SMI had similar sociodemographic correlates of poor glycemic control including younger versus older age, Hispanic versus non-Hispanic White race/ethnicity, and English versus Chinese language preference. Hotspots for poor glycemic control were found in neighborhoods with more lower-income, Hispanic, and Black residents. CONCLUSIONS Poor diabetes control was significantly related to having a schizophrenia spectrum or bipolar disorder, and to sociodemographic factors and neighborhood. Community-based mental health clinics in hotspots could be targets for implementation of diabetes management services.
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Affiliation(s)
- Esti Iturralde
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Anna D Rubinsky
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Academic Research Services, Information Technology, University of California San Francisco, San Francisco, CA, United States
| | - Kim H Nguyen
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
| | - Chelsie Anderson
- Department of Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Courtney R Lyles
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
| | - Christina Mangurian
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
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Jiménez-Solomon O, Irwin G, Melanie W, Christopher W. When money and mental health problems pile up: The reciprocal relationship between income and psychological distress. SSM Popul Health 2024; 25:101624. [PMID: 38380052 PMCID: PMC10876910 DOI: 10.1016/j.ssmph.2024.101624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/22/2024] Open
Abstract
Background Longitudinal studies suggest that socioeconomic status (SES) and mental health have a bidirectional relationship such that SES declines lead to a deterioration of mental health (social causation), while worsening mental health leads to SES declines (social drift). However, the dynamic relationship between income and psychological distress has not been sufficiently studied. Methods We use cross-lagged panel models with unit fixed effects (FE-CLPM) and data from a five-wave representative panel (n = 3103) of working-age (18-64) New York City adults. Yearly measures include individual earnings, family income (income-to-needs), and psychological distress. We also examine effects by age, gender, education, and racial/ethnic identification. Results We find significant bidirectional effects between earnings and distress. Increases in past-year individual earnings decrease past-month psychological distress (social causation effect [SCE], standardized β= -0.07) and increases in psychological distress reduce next-year individual earnings (social drift effect [SDE], β= -0.03). Family income and distress only have a unidirectional relationship from past-year family income to distress (SCE, β= -.03). Strongest evidence of bidirectional effects between earnings and distress is for prime working-age individuals (SCE, β= -0.1; SDE, β= -0.03), those with less than bachelor's degrees (SCE, β= -0.08; SDE, β= -0.05), and Hispanics (SCE, β= -0.06; SDE, β= -0.08). We also find evidence of reciprocal effects between family income and distress for women (SCE, β= -0.03; SDE, β= -0.05), and Hispanics (SDE, β= -0.04; SDE, β= -0.08). Conclusions Individual earnings, which are labor market indicators, may be stronger social determinants of mental health than family income. However, important differences in social causation and social drift effects exist across groups by age, education, gender, and racial/ethnic identities. Future research should examine the types of policies that may buffer the mental health impact of negative income shocks and the declines in income associated with worsening mental health, especially among the most vulnerable.
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Affiliation(s)
- Oscar Jiménez-Solomon
- Center on Poverty and Social Policy, School of Social Work, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA
- New York State Center of Excellence for Cultural Competence, New York State Psychiatric Institute, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 69, New York, NY, 10032, USA
| | - Garfinkel Irwin
- Center on Poverty and Social Policy, School of Social Work, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA
| | - Wall Melanie
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, Unit 48, New York, NY, 10032, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, R207, New York, NY, 10032, USA
| | - Wimer Christopher
- Center on Poverty and Social Policy, School of Social Work, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA
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NEWTON HELEN, HUMENSKY JENNIFER, GOLDMAN HOWARD, BUSCH SUSANH. What Explains Changes in Availability of Specialty Mental Health Services in Organized Settings? Milbank Q 2022; 100:1166-1191. [PMID: 36575952 PMCID: PMC9836237 DOI: 10.1111/1468-0009.12592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/10/2022] [Accepted: 07/18/2022] [Indexed: 12/29/2022] Open
Abstract
Policy Points Community mental health facilities often do not offer the full range of evidence-based clinical and support services for individuals with serious mental illness. Facilities were no more likely to offer six of seven services studied in 2019 compared with 2010 in both Medicaid expansion and nonexpansion states. For-profit facilities generally experienced the largest declines in service availability, while public facilities experienced the smallest declines with small increases in availability of select services. New payment models that incentivize the offer of specialty support services may be needed to encourage adoption of clinical and support services by specialty mental health organizations. CONTEXT Community mental health facilities often do not offer the full range of evidence-based clinical and support services for individuals with serious mental illness. This creates equity issues, particularly when low-income and minority communities have access to fewer facilities. Medicaid expansion might encourage facilities to offer these services. However, this decision may also be affected by facility ownership type or mediated by service cost structure, particularly in the absence of innovative payment mechanisms. In this study, we determine whether and how Medicaid expansion and facility ownership are associated with changes in specialty mental health service availability in organized settings over time. METHODS We estimated two-way fixed effects models using six cross-sections of the National Mental Health Services Survey and compared changes in facility-reported offering of seven services from 2010 to 2019 (54,885 facility years): psychotropic medication, case management, family psychoeducation, psychiatric emergency walk-in services, supported employment, assertive community treatment, illness management, and recovery services. We tested whether Medicaid expansion and facility ownership (private for-profit, private not-for-profit, public) were associated with differential changes in service availability from 2010 to 2019. FINDINGS Overall, facilities were no more likely to offer nearly all services in 2019 than 2010. We found smaller declines for psychotropic medication and psychiatric emergency walk-in services among facilities in Medicaid expansion states compared to declines in non-Medicaid expansion states (6.3 (95% CI 95% CI = 1.8-10.7) and 5.5 (95% CI = 0.2-10.8) percentage points respectively). For-profit facilities experienced the largest declines in availability from 2010 to 2019, while public facilities experienced the smallest declines and some increases in availability of select services. CONCLUSIONS Specialty mental health services are still not widely offered in community outpatient settings despite significant investments in Medicaid, although Medicaid expansion was associated with slower declines in availability. New payment models that incentivize outpatient facilities to offer clinical and support services may be needed.
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A Pilot Remote Drama Therapy Program Using the Co-active Therapeutic Theater Model in People with Serious Mental Illness. Community Ment Health J 2022; 58:1613-1620. [PMID: 35583837 PMCID: PMC9113924 DOI: 10.1007/s10597-022-00977-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/12/2022] [Indexed: 01/27/2023]
Abstract
The impact of drama therapy on mental health recovery remains poorly understood. We examined the effects of a pilot remote drama therapy program for community members living with serious mental illness. The entire intervention was delivered remotely. Participants with serious mental illness completed a 12-week drama therapy program which included an online performance open to the public. Four quantitative scales were administered pre- and post-program. A focus group was conducted 1 week after the performance. Six participants completed the program and crafted a public performance themed around hope. No significant differences were identified in the quantitative measures. Five themes were identified in the post-performance focus group. Drama therapy presents an opportunity for individuals with serious mental illness to process and share their journeys with their diagnoses and re-create a healthy sense of self with increased community awareness.
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Tay DL, Thygesen LC, Kozlov E, Ornstein KA. Serious Mental Illness Exacerbation Post-Bereavement: A Population-Based Study of Partners and Adult Children. Clin Epidemiol 2022; 14:1065-1077. [PMID: 36164496 PMCID: PMC9508997 DOI: 10.2147/clep.s372936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose The death of a close family member is commonly accompanied by intense grief, stress, and loss of social support. We hypothesized that recent bereavement would be associated with an increase in symptom exacerbations among adults with serious mental illness (SMI) whose partners or parents had died. Patients and Methods Adults whose partners and parents had died in Denmark between January 1, 2010, and June 30, 2016, were identified using linked population-based registries. History of SMI was defined as having a diagnosis of schizophrenia and schizoaffective disorders, major depression, and bipolar disorder in the five years preceding their family member's death in the Danish Psychiatric Central Research Register using International Classification of Diseases-10 codes. The odds of SMI exacerbation (ie, attempt or completion of suicide or psychiatric hospitalization) among partners and children in the first two years after death in 3-month intervals were estimated with generalized estimating equations. Results 12.8% of partners and 15.0% of adult children with a history of SMI experienced any SMI exacerbation two years after bereavement. Among bereaved partners, older age (80+ years) was associated with a lower risk of experiencing an SMI exacerbation compared with partners aged 18-49 years (ORadj=0.29, [0.18-0.45]). Partners with a history of SMI had significantly increased odds of SMI exacerbations three months after their partners' death compared to prior to their partners' death (ORadj = 1.43, [1.13-1.81]). There was no evidence that adult children with SMI experience increased SMI exacerbations after the death of their parents compared to prior to death. Conclusion Adults with a history of SMI whose partners had died are at increased risk for an SMI exacerbation post bereavement. Additional bereavement resources and support should be provided to those with a history of SMI, especially in the period immediately after death.
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Affiliation(s)
- Djin L Tay
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Lau C Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Elissa Kozlov
- Department of Health Behavior, Society and Policy, School of Public Health, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
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Thomson S, Galletly C, Prener C, Garverich S, Liu D, Lincoln A. Associations between health literacy, cognitive function and general literacy in people with schizophrenia attending community mental health clinics in Australia. BMC Psychiatry 2022; 22:245. [PMID: 35392852 PMCID: PMC8986965 DOI: 10.1186/s12888-022-03901-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/24/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Health literacy (HL) has been defined as the ability of individuals to access, understand, and utilise basic health information. HL is crucial to patient engagement in treatment through supporting patient autonomy, informed consent and collaborative care. In people with physical disorders, poor HL is associated with poor health outcomes, but less is known about HL in people with severe mental illness. This study aimed to assess HL and investigate the associations between education, cognitive function, general literacy, and HL in participants with schizophrenia attending community mental health clinics. METHOD Fifty-two outpatients with schizophrenia attending a public community mental health clinic in Adelaide, Australia completed the Test of Functional Health Literacy in Adults-Short Form (S-TOFHLA) along with tests of cognition, aural and reading literacy and numeracy including Digit Symbol Coding (DSC), verbal fluency, the Wechsler Adult Intelligence Scale (WAIS-IV), Woodcock-Johnson III (Part 4 and 9) and the Lipkus numeracy scale. Sixty-one percent of participants were male. Participants had a mean age of 41.2 (SD 9.9) years and a mean of 11.02 (SD 1.5) years of education. RESULTS The majority of participants had very poor aural and verbal literacy and poorer literacy correlated with fewer years of education. On the S-TOFHLA, 81% of participants had adequate HL; 6% were marginal and 13% were inadequate. There was a positive correlation between education and HL, with those with more years of education scoring higher for HL. There was also a significant association between better HL and better working memory and attention. CONCLUSIONS Consistent with previous research in schizophrenia, our participants had reduced educational attainment, aural and reading literacy and cognitive function compared to population norms. However, HL was better than expected given that previous research has found that people with psychiatric disorders tend to have lower HL, compared to the general population. This may reflect effective case management of our participants whilst attending the community clinics and supports ongoing research and intervention regarding HL in people living with mental illness.
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Affiliation(s)
- Sumana Thomson
- Northern Adelaide Local Health Network, Adelaide, South, Australia. .,Adelaide Medical School, The University of Adelaide, Adelaide, South, Australia.
| | - Cherrie Galletly
- Northern Adelaide Local Health Network, Adelaide, South Australia ,grid.1010.00000 0004 1936 7304Adelaide Medical School, The University of Adelaide, Adelaide, South Australia ,Ramsay Health Care (SA) Mental Health Services, Adelaide, South Australia
| | - Christopher Prener
- grid.262962.b0000 0004 1936 9342 Department of Sociology and Anthropology, Saint Louis University, St. Louis, MO USA
| | - Suzanne Garverich
- grid.261112.70000 0001 2173 3359Institute for Health Equity and Social Justice Research, Northeastern University, Boston, MA USA
| | - Dennis Liu
- Northern Adelaide Local Health Network, Adelaide, South Australia ,grid.1010.00000 0004 1936 7304Adelaide Medical School, The University of Adelaide, Adelaide, South Australia
| | - Alisa Lincoln
- grid.261112.70000 0001 2173 3359Institute for Health Equity and Social Justice Research, Northeastern University, Boston, MA USA
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Jiménez-Solomon O, Primrose R, Moon I, Wall M, Galfalvy H, Méndez-Bustos P, Cruz AG, Swarbrick M, Laing T, Vite L, Kelley M, Jennings E, Lewis-Fernández R. Financial Hardship, Hope, and Life Satisfaction Among Un/Underemployed Individuals With Psychiatric Diagnoses: A Mediation Analysis. Front Psychiatry 2022; 13:867421. [PMID: 35935422 PMCID: PMC9352864 DOI: 10.3389/fpsyt.2022.867421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 06/21/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Individuals with psychiatric diagnoses who are unemployed or underemployed are likely to disproportionately experience financial hardship and, in turn, lower life satisfaction (LS). Understanding the mechanisms though which financial hardship affects LS is essential to inform effective economic empowerment interventions for this population. AIM To examine if subjective financial hardship (SFH) mediates the relationship between objective financial hardship (OFH) and LS, and whether hope, and its agency and pathways components, further mediate the effect of SFH on LS among individuals with psychiatric diagnoses seeking employment. METHODS We conducted structured interviews with participants (N = 215) of two peer-run employment programs using indicators of OFH and SFH and standardized scales for hope (overall hope, hope agency, and hope pathways) and LS. Three structural equation models were employed to test measurement models for OFH and SFH, and mediational relationships. Covariates included gender, age, psychiatric diagnosis, race/ethnicity, education, income, employment status, SSI/SSDI receipt, and site. RESULTS Confirmatory factor analysis (CFA) for items measuring OFH and SFH supported two separate hypothesized factors. OFH had a strong and significant total effect on SFH [standardized beta (B) = 0.68] and LS (B = 0.49), and a weak-to-moderate effect on hope (B = -0.31). SFH alone mediated up to 94% of the effect of OFH on LS (indirect effect B = -0.46, p < 0.01). The effect of SFH on LS through hope was small (indirect effect B = -0.09, p < 0.05), primarily through hope agency (indirect effect B = -0.13, p < 0.01) and not hope pathways. Black and Hispanic ethno-racial identification seemed to buffer the effect of financial hardship on hope and LS. Individuals identifying as Black reported significantly higher overall hope (B = 0.41-0.47) and higher LS (B = 0.29-0.46), net of the effect of OFH and SFH. CONCLUSION SFH is a strong mediator of the relationship between OFH and LS in our study of unemployed and underemployed individuals with psychiatric diagnoses. Hope, and particularly its agency component, further mediate a modest but significant proportion of the association between SFH and LS. Economic empowerment interventions for this population should address objective and subjective financial stressors, foster a sense of agency, and consider the diverse effects of financial hardship across ethno-racial groups.
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Affiliation(s)
- Oscar Jiménez-Solomon
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Center on Poverty and Social Policy, School of Social Work, Columbia University, New York, NY, United States
| | - Ryan Primrose
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Teacher's College, Columbia University, New York, NY, United States
| | - Ingyu Moon
- Nyack College, New York, NY, United States
| | - Melanie Wall
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States.,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Hanga Galfalvy
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, United States.,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Pablo Méndez-Bustos
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Department of Psychology, Faculty of Health Sciences, Catholic University of Maule, Talca, Chile
| | - Amanda G Cruz
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Department of Psychology, Clark University, Worcester, MA, United States
| | - Margaret Swarbrick
- Center of Alcohol and Substance Use Studies, Graduate School of Applied and Professional Psychology, Rutgers University - The State University of New Jersy, Piscataway, NJ, United States.,Collaborative Support Programs of New Jersey, Freehold, NJ, United States
| | - Taína Laing
- Baltic Street AEH, Inc., Brooklyn, NY, United States
| | - Laurie Vite
- Baltic Street AEH, Inc., Brooklyn, NY, United States
| | - Maura Kelley
- Mental Health Peer Connection, Western New York Independent Living, Buffalo, NY, United States
| | | | - Roberto Lewis-Fernández
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States.,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
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Caqueo-Urízar A, Ferrer R, Ponce F, Urzúa A, Boyer L. Clinical outcomes of schizophrenia: A differential study among Latin-American countries. Psychiatry Res 2020; 292:113334. [PMID: 32768808 DOI: 10.1016/j.psychres.2020.113334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/22/2020] [Accepted: 07/25/2020] [Indexed: 11/30/2022]
Affiliation(s)
| | - Rodrigo Ferrer
- Escuela de Psicología y Filosofía, Universidad de Tarapacá, Arica, Chile.
| | | | - Alfonso Urzúa
- Escuela de Psicología, Universidad Católica del Norte, Antofagasta, Chile.
| | - Laurent Boyer
- Public Health, Chronic Diseases and Quality of Life - Research Unit, Aix-Marseille Univ, Marseille, France.
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Daumit GL, Dalcin AT, Dickerson FB, Miller ER, Evins AE, Cather C, Jerome GJ, Young DR, Charleston JB, Gennusa JV, Goldsholl S, Cook C, Heller A, McGinty EE, Crum RM, Appel LJ, Wang NY. Effect of a Comprehensive Cardiovascular Risk Reduction Intervention in Persons With Serious Mental Illness: A Randomized Clinical Trial. JAMA Netw Open 2020; 3:e207247. [PMID: 32530472 PMCID: PMC7293000 DOI: 10.1001/jamanetworkopen.2020.7247] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
IMPORTANCE Persons with serious mental illness have a cardiovascular disease mortality rate more than twice that of the overall population. Meaningful cardiovascular risk reduction requires targeted efforts in this population, who often have psychiatric symptoms and cognitive impairment. OBJECTIVE To determine the effectiveness of an 18-month multifaceted intervention incorporating behavioral counseling, care coordination, and care management for overall cardiovascular risk reduction in adults with serious mental illness. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial was conducted from December 2013 to November 2018 at 4 community mental health outpatient programs in Maryland. The study recruited adults with at least 1 cardiovascular disease risk factor (hypertension, diabetes, dyslipidemia, current tobacco smoking, and/or overweight or obesity) attending the mental health programs. Of 398 participants screened, 269 were randomized to intervention (132 participants) or control (137 participants). Data collection staff were blinded to group assignment. Data were analyzed on the principle of intention to treat, and data analysis was performed from November 2018 to March 2019. INTERVENTIONS A health coach and nurse provided individually tailored cardiovascular disease risk reduction behavioral counseling, collaborated with physicians to implement appropriate risk factor management, and coordinated with mental health staff to encourage attainment of health goals. Programs offered physical activity classes and received consultation on serving healthier meals; intervention and control participants were exposed to these environmental changes. MAIN OUTCOMES AND MEASURES The primary outcome was the change in the risk of cardiovascular disease from the global Framingham Risk Score (FRS), which estimates the 10-year probability of a cardiovascular disease event, from baseline to 18 months, expressed as percentage change for intervention compared with control. RESULTS Of 269 participants randomized (mean [SD] age, 48.8 [11.9] years; 128 men [47.6%]), 159 (59.1%) had a diagnosis of schizophrenia or schizoaffective disorder, 67 (24.9%) had bipolar disorder, and 38 (14.1%) had major depressive disorder. At 18 months, the primary outcome, FRS, was obtained for 256 participants (95.2%). The mean (SD) baseline FRS was 11.5% (11.5%) (median, 8.6%; interquartile range, 3.9%-16.0%) in the intervention group and 12.7% (12.7%) (median, 9.1%; interquartile range, 4.0%-16.7%) in the control group. At 18 months, the mean (SD) FRS was 9.9% (10.2%) (median, 7.7%; interquartile range, 3.1%-12.0%) in the intervention group and 12.3% (12.0%) (median, 9.7%; interquartile range, 4.0%-15.9%) in the control group. Compared with the control group, the intervention group experienced a 12.7% (95% CI, 2.5%-22.9%; P = .02) relative reduction in FRS at 18 months. CONCLUSIONS AND RELEVANCE An 18-month behavioral counseling, care coordination, and care management intervention statistically significantly reduced overall cardiovascular disease risk in adults with serious mental illness. This intervention provides the means to substantially reduce health disparities in this high-risk population. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02127671.
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Affiliation(s)
- Gail L. Daumit
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Arlene T. Dalcin
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
| | | | - Edgar R. Miller
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - A. Eden Evins
- Department of Psychiatry, Massachusetts General Hospital, Boston
| | - Corinne Cather
- Department of Psychiatry, Massachusetts General Hospital, Boston
| | - Gerald J. Jerome
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Kinesiology, Towson University, Towson, Maryland
| | - Deborah R. Young
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Jeanne B. Charleston
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Joseph V. Gennusa
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stacy Goldsholl
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Courtney Cook
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ann Heller
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Emma E. McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Rosa M. Crum
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Lawrence J. Appel
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Nae-Yuh Wang
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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