Implementation and Scale-Up of Integrated Depression Care in South Africa: An Observational Implementation Research Protocol

A Case Study of the Development of a Valid and Pragmatic Implementation Science Measure: The Barriers and Facilitators in Implementation of Task-Sharing Mental Health Interventions (BeFITS-MH) Measure

Background

Few implementation science (IS) measures have been evaluated for validity, reliability and utility - the latter referring to whether a measure captures meaningful aspects of implementation contexts. In this case study, we describe the process of developing an IS measure that aims to assess Barriers and Facilitators in Implementation of Task-Sharing in Mental Health services (BeFITS-MH), and the procedures we implemented to enhance its utility.

Methods

We summarize conceptual and empirical work that informed the development of the BeFITS-MH measure, including a description of the Delphi process, detailed translation and local adaptation procedures, and concurrent pilot testing. As validity and reliability are key aspects of measure development, we also report on our process of assessing the measure's construct validity and utility for the implementation outcomes of acceptability, appropriateness, and feasibility.

Results

Continuous stakeholder involvement and concurrent pilot testing resulted in several adaptations of the BeFITS-MH measure's structure, scaling, and format to enhance contextual relevance and utility. Adaptations of broad terms such as "program," "provider type," and "type of service" were necessary due to the heterogeneous nature of interventions, type of task-sharing providers employed, and clients served across the three global sites. Item selection benefited from the iterative process, enabling identification of relevance of key aspects of identified barriers and facilitators, and what aspects were common across sites. Program implementers' conceptions of utility regarding the measure's acceptability, appropriateness, and feasibility were seen to cluster across several common categories.

Conclusions

This case study provides a rigorous, multi-step process for developing a pragmatic IS measure. The process and lessons learned will aid in the teaching, practice and research of IS measurement development. The importance of including experiences and knowledge from different types of stakeholders in different global settings was reinforced and resulted in a more globally useful measure while allowing for locally-relevant adaptation. To increase the relevance of the measure it is important to target actionable domains that predict markers of utility (e.g., successful uptake) per program implementers' preferences. With this case study, we provide a detailed roadmap for others seeking to develop and validate IS measures that maximize local utility and impact.

Depression and HIV Care-seeking Behaviors in a Population-based Sample in North West Province, South Africa

Depression is associated with key HIV-related prevention and treatment behaviors in sub-Saharan Africa. We aimed to identify the association of depressive symptoms with HIV testing, linkage to care, and ART adherence among a representative sample of 18-49 year-olds in a high prevalence, rural area of South Africa. Utilizing logistic regression models (N = 1044), depressive symptoms were inversely associated with reported ever HIV testing (AOR 0.92, 95% CI 0.85-0.99; p = 0.04) and ART adherence (AOR 0.82, 95% CI: 0.73-0.91; p < 0.01) among women. For men, depressive symptoms were positively associated with linkage to care (AOR: 1.21, 95% CI: 1.09-1.34; p < 0.01). Depression may adversely impact ART adherence for HIV-positive women and reduce the likelihood of HIV testing for women not aware of their HIV status which, in settings with high HIV prevalence, carries severe consequences. For HIV-positive men, findings suggest that depression may encourage help-seeking behavior, thereby impacting their health system interactions. These findings underscore the need for health-care settings to factor mental health, such as depression, into their programs to address health-related outcomes, particularly for women.

Management of Depression in Chronic Care Patients Using a Task-Sharing Approach in a Real-World Primary Health Care Setting in South Africa: Outcomes of a Cohort Study

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.

Community-based integrated care for patients with diabetes and depression (CIC-PDD): study protocol for a cluster randomized controlled trial

BACKGROUND

Managing the multimorbidity of diabetes and depression remains a clinical challenge for patients and healthcare professionals due to the fragmented healthcare delivery system. To effectively cope with multimorbidity, there is an urgent need for the health system to transform into people-centered integrated care (PCIC) system globally. Therefore, this paper describes the protocol of community-based integrated care for patients with diabetes and depression (CIC-PDD) project, an integrated and shared-care intervention project.

METHODS/DESIGN

CIC-PDD project is conducted in two phases, namely "care model development" and "implementation and evaluation." In the first phase, CIC-PDD model was designed and developed based on the four criteria of collaborative care model (CCM) and was subsequently adjusted to align with the context of China. The second phase entails a pragmatic, two-arm, cluster randomized controlled implementation trial, accompanied by parallel mixed-methods process evaluation and cost-effectiveness analysis.

DISCUSSION

We anticipate CIC-PDD project will facilitate the development and innovation of PCIC model and related theories worldwide, particularly in low- and middle-income countries (LMICs). In addition, CIC-PDD project will contribute to the exploration of primary health care (PHC) in addressing the multimorbidity of physical and mental health issues.

TRIAL REGISTRATION

ClinicalTrials.gov registration ChiCTR2200065608 (China Clinical Trials Registry https://www.chictr.org.cn ). Registered on November 9, 2022.

A collaborative care package for depression comorbid with chronic physical conditions in South Africa

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.

Accuracy of a community mental health education and detection (CMED) tool for common mental disorders in KwaZulu-Natal, South Africa

Background

Screening tools for mental health disorders improve detection at a primary health care (PHC) level. However, many people with mental health conditions do not seek care because of a lack of knowledge about mental health, stigma about mental illness and a lack of awareness of mental health services available at a PHC facility level. Interventions at a community level that raise awareness about mental health and improve detection of mental health conditions, are thus important in increasing demand and optimising the supply of available mental health services. This study sought to evaluate the accuracy of a Community Mental Health Education and Detection (CMED) Tool in identifying mental health conditions using pictorial vignettes.

Methods

Community Health Workers (CHWs) administered the CMED tool to 198 participants on routine visits to households. Consenting family members provided basic biographical information prior to the administration of the tool. To determine the accuracy of the CMED in identifying individuals in households with possible mental health disorders, we compared the number of individuals identified using the CMED vignettes to the validated Brief Mental Health (BMH) screening tool.

Results

The CMED performed at an acceptable level with an area under the curve (AUC) of 0.73 (95% CI 0.67–0.79), identifying 79% (sensitivity) of participants as having a possible mental health problem and 67% (specificity) of participants as not having a mental health problem. Overall, the CMED positively identified 55.2% of household members relative to 49.5% on the BMH.

Conclusion

The CMED is acceptable as a mental health screening tool for use by CHWs at a household level.

Pushing the bench: A mixed methods study of barriers to and facilitators of identification and referral into depression care by professional nurses in KwaZulu-Natal, South Africa

OBJECTIVE

Integration of mental health and chronic disease services in primary care could reduce the mental health treatment gap and improve associated health outcomes in low-resource settings. Low rates of nurse identification and referral of patients with depression limit the effectiveness of integrated mental health care; the barriers to and facilitators of identification and referral in South Africa and comparable settings remain undefined. This study explored barriers to and facilitators of nurse identification and referral of patients with depressive symptoms as part of integrated mental health service delivery in KwaZulu-Natal, South Africa.

DESIGN

Triangulation mixed methods study incorporating qualitative and quantitative data.

METHODS

Data collection, analysis, and interpretation were guided by the Consolidated Framework for Implementation Research (CFIR). Participants were professional nurses at ten primary health care facilities in Amajuba, KwaZulu-Natal, South Africa. Qualitative data collection involved semi-structured interviews targeting specific CFIR constructs with high- and low-referring nurses. Deductive and inductive coding were used to derive primary themes related to barriers and facilitators. Quantitative data collection involved a structured questionnaire assessing determinants explored in the interviews. Qualitative comparative analysis was used to identify the necessary or sufficient conditions for high and low nurse referral.

RESULTS

Twenty-two nurses were interviewed. Primary themes related to insufficient training, supervision, and competency; emotional burden; limited human and physical resources; perceived patient need for integrated services; and intervention acceptability. Sixty-eight nurses completed questionnaires. Quantitative results confirmed and expanded upon the qualitative findings. Low self-assessed competency was a consistent barrier to appropriate service delivery.

CONCLUSIONS

To promote the success of integrated care in a context of severe staff shortages and over-burdened providers, implementation strategies including direct training, structured supervision, and routine behavioral health screening tools are warranted. Interventions to improve mental health literacy of patients as well as emotional support for nurses are also needed.

Interventions to address the mental health of adolescents and young adults living with or affected by HIV: state of the evidence

INTRODUCTION

Adolescents and young adults (AYA) remain vulnerable to HIV-infection and significant co-morbid mental health challenges that are barriers to treatment and prevention efforts. Globally millions of AYA are living with HIV (AYALH) and/or have been affected by HIV in their families (AYAAH), with studies highlighting the need for mental health programmes. With no current guidelines for delivering mental health interventions for AYALH or AYAAH, a scoping review was undertaken to explore current evidence-based mental health interventions for AYALH and AYAAH to inform future work.

METHODS

The review, targeting work between 2014 and 2020, initially included studies of evidence-based mental health interventions for AYALH and AYAAH, ages 10 to 24 years, that used traditional mental health treatments. Given the few studies identified, we expanded our search to include psychosocial interventions that had mental health study outcomes.

RESULTS AND DISCUSSION

We identified 13 studies, seven focused on AYALH, five on AYAAH, and one on both. Most studies took place in sub-Saharan Africa. Depression was targeted in eight studies with the remainder focused on a range of emotional and behavioural symptoms. Few studies used evidence-based approaches such as Cognitive Behaviour Therapy; psychosocial approaches included mental health treatments, group-based and family strengthening interventions, economic empowerment combined with family strengthening, group-based mindfulness and community interventions. Eleven studies were randomized control trials with four pilot studies. There was variation in sample size, treatment delivery mode (individual focus, group-based, family focus), and measures of effectiveness across studies. Most used trained lay counsellors as facilitators, with few using trained mental health professionals. Eleven studies reported positive intervention effects on mental health.

CONCLUSIONS

Despite the need for mental health interventions for AYALH and AYAAH, we know surprisingly little about mental health treatment for this vulnerable population. There are some promising approaches, but more work is needed to identify evidence-based approaches and corresponding mechanisms of change. Given limited resources, integrating mental health treatment into healthcare settings and using digital health approaches may support more standardized and scalable treatments. Greater emphasis on implementation science frameworks is needed to create sustainable mental health treatment for AYALH and AYAAH globally.