Comparing dedicated and designated models of integrating mental health into chronic disease care: study protocol for a cluster randomized controlled trial

 

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dc.contributor.author Myers, Bronwyn
dc.contributor.author Lund, Crick
dc.contributor.author Lombard, Carl
dc.contributor.author Joska, John
dc.contributor.author Levitt, Naomi
dc.contributor.author Butler, Christopher
dc.contributor.author Cleary, Susan
dc.contributor.author Naledi, Tracey
dc.contributor.author Milligan, Peter
dc.contributor.author Stein, Dan J
dc.contributor.author Sorsdahl, Katherine
dc.date.accessioned 2018-05-04T08:34:00Z
dc.date.available 2018-05-04T08:34:00Z
dc.date.issued 2018-03-16
dc.identifier.citation Trials. 2018 Mar 16;19(1):185
dc.identifier.uri http://dx.doi.org/10.1186/s13063-018-2568-9
dc.identifier.uri http://hdl.handle.net/11427/27930
dc.description.abstract Background In low- and middle-income countries (LMIC), it is uncertain whether a “dedicated” approach to integrating mental health care (wherein a community health worker (CHW) has the sole responsibility of delivering mental health care) or a “designated” approach (wherein a CHW provides this service in addition to usual responsibilities) is most effective and cost-effective. This study aims to compare the effectiveness and cost-effectiveness of these two models of service integration relative to treatment as usual (TAU) for improving mental health and chronic disease outcomes among patients with HIV or diabetes. Methods/Design This is a cluster randomised trial. We will randomise 24 primary health care facilities in the Western Cape Province of South Africa to one of three study arms. Within each cluster, we will recruit 25 patients from HIV and 25 from diabetes services for a total sample of 1200 participants. Eligible patients will be aged 18 years or older, take medication for HIV or diabetes, and screen positive on the Alcohol Use Disorder Identification Test for hazardous/harmful alcohol use or depression on the Centre for Epidemiology Scale on Depression. Participants recruited in clinics assigned to the designated or dedicated approach will receive three sessions of motivational interviewing and problem-solving therapy, while those recruited at TAU-assigned clinics will be referred for further assessment. Participants will complete an interviewer-administered questionnaire at baseline, and at 6 and 12 months post-enrolment to assess change in self-reported outcomes. At these end points, we will test HIV RNA viral load for participants with HIV and HbA1c levels for participants with diabetes. Primary outcomes are reductions in self-reported hazardous/harmful alcohol use and risk of depression. Secondary outcomes are improvements in adherence to chronic disease treatment, biomarkers of chronic disease outcomes, and health-related quality of life. Mixed-effect linear regression models will model the effect of the interventions on primary and secondary outcomes. The cost-effectiveness of each approach will be assessed using incremental cost-effectiveness ratios. Discussion Study findings will guide decision-making around how best to integrate mental health counselling into chronic disease care in a LMIC setting. Trial registration Pan African Clinical Trials Registry, Trial registration number: ACTR201610001825403 . Registered 17 October 2016.
dc.language.iso en
dc.publisher BioMed Central
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.source Trials
dc.source.uri https://trialsjournal.biomedcentral.com/
dc.subject.other Common mental disorders
dc.subject.other Chronic disease care
dc.subject.other Integrated treatment
dc.subject.other South Africa
dc.title Comparing dedicated and designated models of integrating mental health into chronic disease care: study protocol for a cluster randomized controlled trial
dc.type Journal Article
dc.date.updated 2018-04-09T15:12:08Z
dc.rights.holder The Author(s).
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Health Sciences en_ZA
dc.publisher.department Department of Psychiatry and Mental Health en_ZA
uct.type.filetype Text
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