Dataset Information

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative.

ABSTRACT:

Background

There is a substantial proportion of patients who drop out of treatment before they receive minimally adequate care. They tend to have worse health outcomes than those who complete treatment. Our main goal is to describe the frequency and determinants of dropout from treatment for mental disorders in low-, middle-, and high-income countries.

Methods

Respondents from 13 low- or middle-income countries (N = 60 224) and 15 in high-income countries (N = 77 303) were screened for mental and substance use disorders. Cross-tabulations were used to examine the distribution of treatment and dropout rates for those who screened positive. The timing of dropout was examined using Kaplan-Meier curves. Predictors of dropout were examined with survival analysis using a logistic link function.

Results

Dropout rates are high, both in high-income (30%) and low/middle-income (45%) countries. Dropout mostly occurs during the first two visits. It is higher in general medical rather than in specialist settings (nearly 60% v. 20% in lower income settings). It is also higher for mild and moderate than for severe presentations. The lack of financial protection for mental health services is associated with overall increased dropout from care.

Conclusions

Extending financial protection and coverage for mental disorders may reduce dropout. Efficiency can be improved by managing the milder clinical presentations at the entry point to the mental health system, providing adequate training, support and specialist supervision for non-specialists, and streamlining referral to psychiatrists for more severe cases.

SUBMITTER: Fernandez D

PROVIDER: S-EPMC8265313 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative.

Fernández Daniel D Vigo Daniel D Sampson Nancy A NA Hwang Irving I Aguilar-Gaxiola Sergio S Al-Hamzawi Ali O AO Alonso Jordi J Andrade Laura Helena LH Bromet Evelyn J EJ de Girolamo Giovanni G de Jonge Peter P Florescu Silvia S Gureje Oye O Hinkov Hristo H Hu Chiyi C Karam Elie G EG Karam Georges G Kawakami Norito N Kiejna Andrzej A Kovess-Masfety Viviane V Medina-Mora Maria E ME Navarro-Mateu Fernando F Ojagbemi Akin A O'Neill Siobhan S Piazza Marina M Posada-Villa Jose J Rapsey Charlene C Williams David R DR Xavier Miguel M Ziv Yuval Y Kessler Ronald C RC Haro Josep M JM

Psychological medicine 20200428 12

<h4>Background</h4>There is a substantial proportion of patients who drop out of treatment before they receive minimally adequate care. They tend to have worse health outcomes than those who complete treatment. Our main goal is to describe the frequency and determinants of dropout from treatment for mental disorders in low-, middle-, and high-income countries.<h4>Methods</h4>Respondents from 13 low- or middle-income countries (<i>N</i> = 60 224) and 15 in high-income countries (<i>N</i> = 77 303 ...[more]

PMID: 32343221

Similar Datasets

Project description:BackgroundThe majority of university students with mental health problems are untreated. Only a small empirical literature exists on strategies to increase mental health service use.AimsTo investigate the effects and moderators of a brief acceptance-facilitating intervention on intention to use mental health services among university students.MethodWithin the German site of the World Health Organization's World Mental Health International College Student (WMH-ICS) initiative, 1,374 university students were randomized to an intervention condition (IC; n = 664) or a control condition (CC; n = 710) that was implemented in the survey itself. Both conditions received the questions assessing mental disorders and suicidality that were included in other WMH-ICS surveys. The IC group then additionally received: Internet-based personalized feedback based on subject symptom severity in the domains of depression, anxiety, substance use, suicidal thoughts and behaviors, and nonsuicidal self-injury; psychoeducation tailored to the personal symptom profile; and information about available university and community mental health services. The primary outcome was reported intention to use psychological interventions in the next semester, which was the last question in the survey. A broad range of potential moderating factors was explored.ResultsThere was a significant main effect of the intervention with students randomized to IC, reporting significantly higher intentions to seek help in the next semester than students in the CC condition (d = 0.12, 95% CI: 0.02 to 0.23). Moderator analyses indicated that the intervention was more effective among students that fulfilled the criteria for lifetime (d = 0.34; 95% CI: -0.08 to 0.7) and 12-month panic-disorder (d = 0.32; 95% CI: -0.10 to 0.74) compared with those without lifetime (d = 0.11; 95% CI: 0.00 to 0.22) or 12-month panic disorder (d = 0.11; 95% CI: 0.00 to 0.22), students with lower (d = 0.37; 95% CI: -0.77 to 1.51) than higher (d = -0.01; 95% CI: -0.36 to 0.34) self-reported physical health, and students with nonheterosexual (d = 0.38; 95% CI: 0.08 to 0.67) compared with heterosexual (d = 0.06; 95% CI: -0.06 to 0.17) sexual orientation. The intervention had no effects among students who reported that they recognized that they had an emotional problem and "are already working actively to change it" (Stage 4 "stages of change").ConclusionsA simple acceptance-facilitating intervention can increase intention to use mental health services, although effects, are on average, small. Future studies should investigate more personalized approaches with interventions tailored to barriers and clinical characteristics of students. In order to optimize intervention effects, the development and evaluation should be realized in designs that are powered to allow incremental value of different intervention components and tailoring strategies to be evaluated, such as in multiphase optimization designs.

Project description:India is revising its mental health legislation with the Indian Mental Healthcare Act 2017 (IMHA). When implemented, this legislation will apply to over 1.25 billion people. In 2005, the World Health Organization (WHO) published a Resource Book (WHO-RB) on mental health, human rights and legislation, including a checklist of 175 specific items to be addressed in mental health legislation or policy in individual countries. Even following the publication of the United Nations Convention on the Rights of Persons with Disabilities (CRPD) (2006), the WHO-RB remains the most comprehensive checklist for mental health legislation available, rooted in UN and WHO documents and providing the most systematic, detailed framework for human rights analysis of mental health legislation. We sought to determine the extent to which the IMHA will bring Indian legislation in line with the WHO-RB.The IMHA and other relevant pieces of Indian legislation are compared to each of the items in the WHO-RB. We classify each item in a binary manner, as either concordant or not, and provide more nuanced detail in the text.The IMHA addresses 96/175 (55.4%) of the WHO-RB standards examined. When other relevant Indian legislation is taken into account, 118/175 (68.0%) of the standards are addressed in Indian law. Important areas of low concordance include the rights of families and carers, competence and guardianship, non-protesting patients and involuntary community treatment. The important legal constructs of advance directives, supported decision-making and nominated representatives are articulated in the Indian legislation and explored in this paper.In theory, the IMHA is a highly progressive piece of legislation, especially when compared to legislation in other jurisdictions subject to similar analysis. Along with the Indian Rights of Persons with Disabilities Act 2016, it will bring Indian law closely in line with the WHO-RB. Vague, opaque language is however, used in certain contentious areas; this may represent arrangement-focused rather than realisation-focused legislation, and lead to inadvertent limitation of certain rights. Finally, the WHO-RB checklist is an extremely useful tool for this kind of analysis; we recommend it is updated to reflect the CRPD and other relevant developments.

Project description:BackgroundTo date, no studies have assessed how the World Health Organization's (WHO) work operationalizes health equity in practice. To fill the gap, this study investigates the WHO's Urban Health Equity Assessment and Response Tool (Urban HEART) that focuses on assessing and responding to inequities within cities. This qualitative research answers the question: "how does Urban HEART and associated policy and practice align (or not) with inconsistent approaches to health in/equity?" In other words, asking if past findings from investigating WHO key texts also transpire into Urban HEART and its practices.MethodsPurposive sampling was employed to undertake synchronous electronic interviews with key informants to glean a multi-faceted perspective of how equity was operationalized through Urban HEART. Data was collected from 18 key informants who had diverse experiences with Urban HEART.ResultsThe results of this study provided insights on how the WHO's Urban HEART fares with respect to the three inconsistencies. For the first inconsistency, measurement, Urban HEART was evaluated to measure inequities across districts and neighbourhoods, but not inter-city, demonstrating alignment with WHO texts discussing measurement across groups and not individuals. For the second inconsistency, the goals or approaches sought in striving for health equity, despite Urban HEART presenting "three main approaches to reduce health inequities," informants expressed the most alignment of Urban HEART action with only one of these approaches ("targeting disadvantaged population groups or social classes"). However, informants also shared how actions taken as part of Urban HEART largely aligned with "striving for a baseline level of health for all," which is not explicitly specified by the WHO as a main approach. And lastly, in assessing the third inconsistency of whether Urban HEART aligned with addressing inequity through focusing on socioeconomic status/position versus broader social determinants of health, Urban HEART was strongly aligned with the latter.ConclusionsThis study presents disconnects between WHO's intentions and actions that followed from Urban HEART. Moving forward, it would be important to discuss goals or approaches sought, prior to any global health initiatives, whether explicitly focused on health equity or not.

Project description:ObjectivesComorbidity is a common feature of mental disorders. However, needs assessment surveys focus largely on individual disorders rather than on comorbidity even though the latter is more important for predicting suicidal thoughts and behaviors. In the current report, we take a step beyond this conventional approach by presenting data on the prevalence and correlates (sociodemographic factors, college-related factors, and suicidal thoughts and behaviors) of the main multivariate profiles of common comorbid Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV disorders among students participating in the first phase of the World Health Organization World Mental Health International College Student initiative.MethodA web-based mental health survey was administered to first year students in 19 colleges across eight countries (Australia, Belgium, Germany, Mexico, Northern Ireland, South Africa, Spain, United States; 45.5% pooled response rate) to screen for seven common DSM-IV mental disorders: major depression, mania/hypomania, generalized anxiety disorder, panic disorder, attention-deficit/hyperactivity disorder, alcohol use disorder, and drug use disorder. We focus on the 14,348 respondents who provided complete data; 38.4% screened positive for at least one 12-month disorder.ResultsMultivariate disorder profiles were detected using latent class analysis (LCA). The least common class (C1; 1.9% of students) was made up of students with high comorbidity (four or more disorders, the majority including mania/hypomania). The remaining 12-month cases had profiles of internalizing-externalizing comorbidity (C2; 5.8%), internalizing comorbidity (C3; 14.6%), and pure disorders (C4; 16.1%). The 1.9% of students in C1 had much higher prevalence of suicidal thoughts and behaviors than other students. Specifically, 15.4% of students in C1 made a suicide attempt in the 12 months before the survey compared with 1.3-2.6% of students with disorders in C2-4, 0.2% of students with lifetime disorders but no 12-month disorders (C5), and 0.1% of students with no lifetime disorders (C6).ConclusionsIn line with prior research, comorbid mental disorders were common; however, sociodemographic correlates of LCA profiles were modest. The high level of comorbidity underscores the need to develop and test transdiagnostic approaches for treatment in college students.

Dataset Information

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative.

Background

Methods

Results

Conclusions

Publications

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets