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      Predictive modeling of initiation and delayed mental health contact for depression

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          Abstract

          Background

          Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.

          Methods

          We obtained data from the VA Corporate Data Warehouse (CDW). EHR data were extracted for 127,423 Veterans who deployed to Iraq/Afghanistan after 9/11 with a positive depression screen and a first depression diagnosis between 2001 and 2021. We also obtained 12-month pre-diagnosis and post-diagnosis patient data. Retrospective cohort analysis was employed to test if predictors can reliably differentiate patients who initiated, delayed, or received no mental health treatment associated with their depression diagnosis.

          Results

          108,457 Veterans with depression, initiated depression-related care (55,492 Veterans delayed treatment beyond one month). Those who were male, without VA disability benefits, with a mild depression diagnosis, and had a history of psychotherapy were less likely to initiate treatment. Among those who initiated care, those with single and mild depression episodes at baseline, with either PTSD or who lacked comorbidities were more likely to delay treatment for depression. A history of mental health treatment, of an anxiety disorder, and a positive depression screen were each related to faster treatment initiation. Classification of patients was modest (ROC AUC = 0.59 95%CI = 0.586–0.602; machine learning F-measure = 0.46).

          Conclusions

          Having VA disability benefits was the strongest predictor of treatment initiation after a depression diagnosis and a history of mental health treatment was the strongest predictor of delayed initiation of treatment. The complexity of the relationship between VA benefits and history of mental health care with treatment initiation after a depression diagnosis is further discussed. Modest classification accuracy with currently known predictors suggests the need to identify additional predictors of successful depression management.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-024-10870-y.

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          Most cited references22

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          Validation of PHQ-2 and PHQ-9 to screen for major depression in the primary care population.

          Although screening for unipolar depression is controversial, it is potentially an efficient way to find undetected cases and improve diagnostic acumen. Using a reference standard, we aimed to validate the 2- and 9-question Patient Health Questionnaires (PHQ-2 and PHQ-9) in primary care settings. The PHQ-2 comprises the first 2 questions of the PHQ-9. Consecutive adult patients attending Auckland family practices completed the PHQ-9, after which they completed the Composite International Diagnostic Interview (CIDI) depression reference standard. Sensitivities and specificities for PHQ-2 and PHQ-9 were analyzed. There were 2,642 patients who completed both the PHQ-9 and the CIDI. Sensitivity and specificity of the PHQ-2 for diagnosing major depression were 86% and 78%, respectively, with a score of 2 or higher and 61% and 92% with a score 3 or higher; for the PHQ-9, they were 74% and 91%, respectively, with a score of 10 or higher. For the PHQ-2 a score of 2 or higher detected more cases of depression than a score of 3 or higher. For the PHQ-9 a score of 10 or higher detected more cases of major depression than the PHQ determination of major depression originally described by Spitzer et al in 1999. We report the largest validation study of the PHQ-2 and PHQ-9, compared with a reference standard interview, undertaken in an exclusively primary care population. The PHQ-2 score or 2 or higher had good sensitivity but poor specificity in detecting major depression. Using a PHQ-2 threshold score of 2 or higher rather than 3 or higher resulted in more depressed patients being correctly identified. A PHQ-9 score of 10 or higher appears to detect more depressed patients than the originally described PHQ-9 scoring for major depression.
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            Age, gender, and the underutilization of mental health services: the influence of help-seeking attitudes.

            The objectives of this study were to explore age and gender differences in attitudes toward seeking professional psychological help, and to examine whether attitudes negatively influence intentions to seek help among older adults and men, whose mental health needs are underserved. To achieve these objectives 206 community-dwelling adults completed questionnaires measuring help-seeking attitudes, psychiatric symptomatology, prior help-seeking, and intentions to seek help. Older age and female gender were associated with more positive help-seeking attitudes in this sample, although age and gender interacted with marital status and education, and had varying influences on different attitude components. Age and gender also influenced intentions to seek professional psychological help. Women exhibited more favourable intentions to seek help from mental health professionals than men, likely due to their positive attitudes concerning psychological openness. Older adults exhibited more favourable intentions to seek help from primary care physicians than younger adults, a finding that was not explained by age differences in attitudes. Results from this study suggest that negative attitudes related to psychological openness might contribute to men's underutilization of mental health services. Help-seeking attitudes do not appear to be a barrier to seeking professional help among older adults, although their intentions to visit primary care physicians might be. These findings suggest the need for education to improve men's help-seeking attitudes and to enhance older adults' willingness to seek specialty mental health services.
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              Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication.

              Dramatic changes have occurred in mental health treatments during the past decade. Data on recent treatment patterns are needed to estimate the unmet need for services. To provide data on patterns and predictors of 12-month mental health treatment in the United States from the recently completed National Comorbidity Survey Replication. Nationally representative face-to-face household survey using a fully structured diagnostic interview, the World Health Organization's World Mental Health Survey Initiative version of the Composite International Diagnostic Interview, carried out between February 5, 2001, and April 7, 2003. A total of 9282 English-speaking respondents 18 years and older. Proportions of respondents with 12-month DSM-IV anxiety, mood, impulse control, and substance disorders who received treatment in the 12 months before the interview in any of 4 service sectors (specialty mental health, general medical, human services, and complementary and alternative medicine). Number of visits and proportion of patients who received minimally adequate treatment were also assessed. Of 12-month cases, 41.1% received some treatment in the past 12 months, including 12.3% treated by a psychiatrist, 16.0% treated by a non-psychiatrist mental health specialist, 22.8% treated by a general medical provider, 8.1% treated by a human services provider, and 6.8% treated by a complementary and alternative medical provider (treatment could be received by >1 source). Overall, cases treated in the mental health specialty sector received more visits (median, 7.4) than those treated in the general medical sector (median, 1.7). More patients in specialty than general medical treatment also received treatment that exceeded a minimal threshold of adequacy (48.3% vs 12.7%). Unmet need for treatment is greatest in traditionally underserved groups, including elderly persons, racial-ethnic minorities, those with low incomes, those without insurance, and residents of rural areas. Most people with mental disorders in the United States remain either untreated or poorly treated. Interventions are needed to enhance treatment initiation and quality.
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                Author and article information

                Contributors
                vanessa.panaite2@va.gov
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                25 April 2024
                25 April 2024
                2024
                : 24
                : 529
                Affiliations
                [1 ]Research & Development Service, James A. Haley Veterans’ Hospital, ( https://ror.org/006xyf785) Tampa, FL USA
                [2 ]Department of Psychology, University of South Florida, ( https://ror.org/032db5x82) Tampa, FL USA
                [3 ]Center of Innovation for Complex Chronic Healthcare (CINCCH), Edward Hines Jr. VA Hospital, ( https://ror.org/02223wv31) Hines, IL USA
                [4 ]GRID grid.413800.e, ISNI 0000 0004 0419 7525, VA Center for Clinical Management Research, , VA Ann Arbor Healthcare System, ; Ann Arbor, MI USA
                [5 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Psychiatry, , University of Michigan Medical School, ; Ann Arbor, MI USA
                [6 ]Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, ( https://ror.org/04a9tmd77) New York, NY USA
                [7 ]College of Public Health, University of South Florida, ( https://ror.org/032db5x82) Tampa, FL USA
                [8 ]GRID grid.484313.9, ISNI 0000 0004 0420 8589, Department of Veterans Affairs VISN 23 Clinical Resource Hub, ; Minneapolis, MN USA
                [9 ]Mental Health and Behavioral Sciences, James A. Haley Veterans’ Hospital, ( https://ror.org/006xyf785) Tampa, FL USA
                [10 ]Department of Psychiatry and Behavioral Neurosciences, University of South Florida, ( https://ror.org/032db5x82) Tampa, FL USA
                [11 ]Department of Behavioral Sciences and Social Medicine, Florida State University, ( https://ror.org/05g3dte14) Tallahassee, FL USA
                [12 ]Mental Health Service, VA Puget Sound Healthcare System at Seattle, ( https://ror.org/0024fc285) Seattle, WA USA
                Article
                10870
                10.1186/s12913-024-10870-y
                11046938
                38664738
                3d13a699-0c58-4a9d-ad74-e6d91e44412d
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 February 2023
                : 14 March 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007217, Health Services Research and Development;
                Award ID: 1IK2HX002899-01A2
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Health & Social care
                depression,mental health,treatment initiation,treatment delay,classification
                Health & Social care
                depression, mental health, treatment initiation, treatment delay, classification

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