Search

Depressive symptoms are common in South African primary care patients with chronic medical conditions, but are usually unrecognised and untreated. This study evaluated an integrated, task-sharing collaborative approach to management of depression comorbid with chronic diseases in primary health care (PHC) patients in a real-world setting. Existing HIV clinic counsellors provided a manualised depression counselling intervention with stepped-up referral pathways to PHC doctors for initiation of anti-depressant medication and/ or referral to specialist mental health services. Using a comparative group cohort design, adult PHC patients in 10 PHC facilities were screened with the Patient Health Questionnaire-9 with those scoring above the validated cut-off enrolled. PHC nurses independently assessed, diagnosed and referred patients. Referral for treatment was independently associated with substantial improvements in depression symptoms three months later. The study confirms the viability of task-shared stepped-up collaborative care for depression treatment using co-located counselling in underserved real-world PHC settings., (© 2023. The Author(s).)

Background: The rise in multimorbid chronic conditions in South Africa, large treatment gap for common mental disorders (CMDs) and shortage of mental health specialists demands a task sharing approach to chronic disease management that includes treatment for co-existing CMDs to improve health outcomes. The aim of this study was thus to evaluate a task shared integrated collaborative care package of care for chronic patients with co-existing depressive and alcohol use disorder (AUD) symptoms., Methods: The complex intervention strengthened capacity of primary care nurse practitioners to identify, diagnose and review symptoms of CMDs among chronic care patients; and implemented a stepped up referral system, that included clinic-based psychosocial lay counsellors, doctors and mental health specialists. Under real world conditions, in four PHC facilities, a repeat cross-sectional Facility Detection Survey (FDS) assessed changes in capacity of nurses to correctly detect CMDs in 1310 patients before implementation and 1246 patients following implementation of the intervention at 12 months; and a non-randomly assigned comparison group cohort study comprising 373 screen positive patients with depressive symptoms using the Patient Health Questionnaire-9 (PHQ9) at baseline, evaluated responses of patients correctly identified and referred for treatment (intervention arm) or not identified and referred (control arm) at three and 12 months., Results: The FDS showed a significant increase in the identification of depression and AUD from pre-implementation to 12-month post-implementation. Depression: (5.8 to 16.4%) 95% CI [2.9, 19.1]); AUD: (0 to 13.8%) 95% CI [0.6-24.9]. In the comparison group cohort study, patients with depressive symptoms having more than a 50% reduction in PHQ-9 scores were greater in the treatment group (n = 69, 55.2%) compared to the comparison group (n = 49, 23.4%) at 3 months (RR = 2.10, p < 0.001); and 12 months follow-up (intervention: n = 57, 47.9%; comparison: n = 60, 30.8%; RR = 1.52, p = 0.006). Remission (PHQ-9 ≤ 5) was greater in the intervention group (n = 32, 26.9%) than comparison group (n = 33, 16.9%) at 12 months (RR = 1.72, p = 0.016)., Conclusion: A task shared collaborative stepped care model can improve detection of CMDs and reduce depressive symptoms among patients with chronic conditions under real world conditions.

Background: The integration of maternal mental health into primary health care has been advocated to reduce the mental health treatment gap in low- and middle-income countries (LMICs). This study reports findings of a cross-country situation analysis on maternal mental health and services available in five LMICs, to inform the development of integrated maternal mental health services integrated into primary health care., Methods: The situation analysis was conducted in five districts in Ethiopia, India, Nepal, South Africa and Uganda, as part of the Programme for Improving Mental Health Care (PRIME). The analysis reports secondary data on the prevalence and impact of priority maternal mental disorders (perinatal depression, alcohol use disorders during pregnancy and puerperal psychosis), existing policies, plans and services for maternal mental health, and other relevant contextual factors, such as explanatory models for mental illness., Results: Limited data were available at the district level, although generalizable data from other sites was identified in most cases. Community and facility-based prevalences ranged widely across PRIME countries for perinatal depression (3-50 %) and alcohol consumption during pregnancy (5-51 %). Maternal mental health was included in mental health policies in South Africa, India and Ethiopia, and a mental health care plan was in the process of being implemented in South Africa. No district reported dedicated maternal mental health services, but referrals to specialised care in psychiatric units or general hospitals were possible. No information was available on coverage for maternal mental health care. Challenges to the provision of maternal mental health care included; limited evidence on feasible detection and treatment strategies for maternal mental disorders, lack of mental health specialists in the public health sector, lack of prescribing guidelines for pregnant and breastfeeding women, and stigmatising attitudes among primary health care staff and the community., Conclusions: It is difficult to anticipate demand for mental health care at district level in the five countries, given the lack of evidence on the prevalence and treatment coverage of women with maternal mental disorders. Limited evidence on effective psychosocial interventions was also noted, and must be addressed for mental health programmes, such as PRIME, to implement feasible and effective services.

Background: People with chronic health conditions are known to have a higher prevalence of depressive disorder. The Patient Health Questionnaire (PHQ-9) is a widely-used screening tool for depression which has not yet been validated for use on chronic care patients in South Africa., Methods: A sample of 676 chronic care patients attending two primary health facilities in North West Province, South Africa were administered the PHQ-9 by field workers and a diagnostic interview (the Structured Clinical Interview for DSM-IV) (SCID) by clinical psychologists. The PHQ-9 and the PHQ-2 were evaluated against the SCID, as well as for sub-samples of patients who were being treated for HIV infection and for hypertension., Results: Using the SCID, 11.4 % of patients had major depressive disorder. The internal consistency estimate for the PHQ-9 was 0.76, with an area under the receiver operator curve (AUROC) of 0.85 (95 % CI 0.82-0.88), which was higher than the AURUC for the PHQ-2 (0.76, 95 % CI 0.73-0.79). Using a cut-point of 9, the PHQ-9 has sensitivity of 51 % and specificity of 94 %. The PHQ-9 AUROC for the sub-samples of patients with HIV and with hypertension were comparable (0.85 and 0.86, respectively)., Conclusions: The PHQ-9 is useful as a screening tool for depression among patients receiving treatment for chronic care in a public health facility.

Background: The treatment gap for mental health services is a growing public health concern. A lay-counselling service located at primary health care (PHC) level could potentially help to close the large treatment gap for common mental disorders in South Africa. The aim of this study was to understand multilevel factors contributing to implementation and potential dissemination of such a service for depression at PHC level. Methods: Process qualitative data of the lay-counselling service for patients with depressive symptoms was collected alongside a pragmatic randomized controlled trial evaluating a collaborative care model that included a lay-counselling service for patients with depressive symptoms. Semi-structured key informant interviews (SSI) were conducted with a purposive sample of PHC providers (lay-counsellors, nurse practitioners, operational managers), lay-counsellor supervisors, district and provincial managers, and patients in receipt of services. A total of 86 interviews were conducted. The Consolidated Framework for Implementation Research (CFIR) was used to guide data collection as well as Framework Analysis to determine barriers and facilitators for implementation and dissemination of the lay-counselling service. Results: Facilitators identified include supervision and support available for counsellors; person focused counselling approach; organizational integration of the counsellor within facilities. Barriers included lack of organizational support of the counselling service, including lack of counselling dedicated space; high counsellor turnover, resulting in a counsellor not available all the time; lack of an identified cadre to deliver the intervention in the system; and treatment of mental health conditions including counselling not included within mental health indicators. Conclusions: Several system level issues need to be addressed to promote integration and dissemination of lay-counselling services within PHC facilities in South Africa. Key system requirements are facility organizational readiness for improvement of integration of lay-counselling services; formal recognition of counselling services provided by lay counsellors as well as inclusion of lay counselling as a treatment modality within mental health treatment data element definitions and the need for diversification of the roles of psychologists to include training and supervision of lay counsellors was also emphasized. [ABSTRACT FROM AUTHOR]

Introduction: A task-sharing collaborative care model for integrated depression care for South Africa's burgeoning primary health care population with chronic conditions was developed and tested through two pragmatic cluster randomized controlled trials. One trial focused on patients with hypertension and was located in one district where a collaborative care model was co-designed with district stakeholders. The other trial, focused on patients on antiretroviral treatment, was located in the same district site, with the addition of a second neighbouring district, without adaptation of the original model. This paper describes the package used to implement this model, and implementation outcomes across the two sites, and summarises lessons and challenges. Methods: The Template for Intervention Description and Replication (TIDieR) framework, adapted for complex health systems interventions, was used to describe components of the package. Additional elements of 'modifications made' and 'actual implementation' introduced in the 'Getting messier with TIDieR' framework, were used to describe implementation outcomes in terms of reach, adoption and implementation across the two trial districts. Results: In the absence of a co-design process to adapt the model to the context of the second site, there was less system level support for the model. Consequently, more project employed human resources were deployed to support training of primary care nurses in identification and referral of patients with depression; and supervise co-located lay counsellors. Referrals to co-located lay counselling services were more than double in the second site. However, uptake of counselling sessions was greater in the first site. This was attributed to greater in-vivo supervision and support from existing mental health specialists in the system. There was greater reliance on online supervision and support in the second site where geographical distances between clinics were larger. Conclusion: The need for in-country co-designed collaborative care models, and 'implementation heavy' implementation research to understand adaptations required to accommodate varying in-country health system contexts is highlighted. [ABSTRACT FROM AUTHOR]

Background: We tested the real-world effectiveness of a collaborative task-sharing model on depressive symptom reduction in hypertensive Primary Health Care (PHC) patients in South Africa.Method: A pragmatic parallel cluster randomised trial in 20 clinics in the Dr Kenneth Kaunda district, North West province. PHC clinics were stratified by sub-district and randomised in a 1:1 ratio. Control clinics received care as usual (CAU), involving referral to PHC doctors and/or mental health specialists. Intervention clinics received CAU plus enhanced mental health training and a lay counselling referral service. Participant inclusion criteria were ≥ 18 years old, Patient Health Questionnaire-9 (PHQ-9) score ≥ 9 and receiving hypertension medication. Primary superiority outcome was ≥ 50% reduction in PHQ-9 score at 6 months. Statistical analyses comprised mixed effects regression models and a non-inferiority analysis.Trial Registration Number: NCT02425124.Results: Between April 2015 and October 2015, 1043 participants were enrolled (504 intervention and 539 control); 82% were women; half were ≥ 55 years. At 6 and 12 months follow-up, 91% and 89% of participants were interviewed respectively. One control group participant committed suicide. There was no significant difference in the primary outcome between intervention (N=256/456) and control (N=232/492) groups (55.9% versus 50.9%; adjusted risk difference = -0.04 ([95% CI = -0.19; 0.11], p = 0.6). The difference in PHQ-9 scores was within the defined equivalence limits at 6 and 12 months for the non-inferiority analysis.Limitations: The trial was limited by low exposure to depression treatment by trial participants and by observed co-intervention in control clinics CONCLUSIONS: Incorporating lay counselling services within collaborative care models does not produce superior nor inferior outcomes to models with specialist only counselling services.Funding: This work was supported by the UK Department for International Development [201446] as well as the National Institute of Mental Health, United States of America, grant number 1R01MH100470-01. Graham Thornicroft is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration (ARC) South London at King's College London and King's College Hospital NHS Foundation Trust. [ABSTRACT FROM AUTHOR]