Identifying contextual determinants of problems in tuberculosis care provision in South Africa: a theory-generating case study

BACKGROUND

Despite progress towards End TB Strategy targets for reducing tuberculosis (TB) incidence and deaths by 2035, South Africa remains among the top ten high-burden tuberculosis countries globally. A large challenge lies in how policies to improve detection, diagnosis and treatment completion interact with social and structural drivers of TB. Detailed understanding and theoretical development of the contextual determinants of problems in TB care is required for developing effective interventions. This article reports findings from the pre-implementation phase of a study of TB care in South Africa, contributing to HeAlth System StrEngThening in Sub-Saharan Africa (ASSET)-a five-year research programme developing and evaluating health system strengthening interventions in sub-Saharan Africa. The study aimed to develop hypothetical propositions regarding contextual determinants of problems in TB care to inform intervention development to reduce TB deaths and incidence whilst ensuring the delivery of quality integrated, person-centred care.

METHODS

Theory-building case study design using the Context and Implementation of Complex Interventions (CICI) framework to identify contextual determinants of problems in TB care. Between February and November 2019, we used mixed methods in six public-sector primary healthcare facilities and one public-sector hospital serving impoverished urban and rural communities in the Amajuba District of KwaZulu-Natal Province, South Africa. Qualitative data included stakeholder interviews, observations and documentary analysis. Quantitative data included routine data on sputum testing and TB deaths. Data were inductively analysed and mapped onto the seven CICI contextual domains.

RESULTS

Delayed diagnosis was caused by interactions between fragmented healthcare provision; limited resources; verticalised care; poor TB screening, sputum collection and record-keeping. One nurse responsible for TB care, with limited integration of TB with other conditions, and policy focused on treatment adherence contributed to staff stress and limited consideration of patients' psychosocial needs. Patients were lost to follow up due to discontinuity of information, poverty, employment restrictions and limited support for treatment side-effects. Infection control measures appeared to be compromised by efforts to integrate care.

CONCLUSIONS

Delayed diagnosis, limited psychosocial support for patients and staff, patients lost to follow-up and inadequate infection control are caused by an interaction between multiple interacting contextual determinants. TB policy needs to resolve tensions between treating TB as epidemic and individually-experienced social problem, supporting interventions which strengthen case detection, infection control and treatment, and also promote person-centred support for healthcare professionals and patients.

3Ts of low cure rate: taxonomy, themes and theory of low cure rate in Pakistan's TB control programme and gathering a 360-degree perspective through qualitative, in-depth interviewing approach

OBJECTIVE

WHO recommends cure of tuberculosis (TB) as the best prevention strategy; however, information about factors associated with low cure rate in patients with drug-susceptible TB is limited in Pakistan. Therefore, the purpose of this study was to explore the factors that account for low TB cure rate.

METHODOLOGY

The present qualitative study recruited diverse informants through purposive sampling to explore low cure rate situation in Badin between March and June 2017. Data were collected from clinicians, paramedics, lab technicians, district field supervisors, patients and treatment supporters through indepth and face-to-face interviews. Interviews were conducted in local languages (Urdu and Sindhi) and transcribed into English. Coding structure was developed inductively and applied on textual data to draw output at the levels of taxonomy, themes and theory, as proposed by Bradley et al.

FINDINGS

Thirty-seven individuals consented to participate in this study and provided detailed account of the subject under enquiry. Review of interview data collected from a variety of informants resulted in the identification of four broad factors (taxonomy) that contributed to the situation of low cure rate in one of the districts implementing the public-private mix intervention. These factors were (1) health-seeking behaviour, (2) technical capacity of the healthcare provider, (3) managerial capacity of the healthcare provider, and (4) access to healthcare facility and services. Each factor is deconstructed into key dimensions (themes) that emerged from the dialogue between the interviewer and the respondents. Moreover, dimensions were exemplified through underlying concepts that correspond to theories for low cure rate.

CONCLUSION

Change in programme reporting requirement has demeaned the significance of having cure as treatment outcome. Therefore, returning the focus to achieving cure status for TB cases will be beneficial for assessing the effectiveness of TB control efforts. In parallel to the care delivery system, a mechanism for disseminating disease-related and treatment-related information should be introduced.

The South African Tuberculosis Care Cascade: Estimated Losses and Methodological Challenges

Background

While tuberculosis incidence and mortality are declining in South Africa, meeting the goals of the End TB Strategy requires an invigorated programmatic response informed by accurate data. Enumerating the losses at each step in the care cascade enables appropriate targeting of interventions and resources.

Methods

We estimated the tuberculosis burden; the number and proportion of individuals with tuberculosis who accessed tests, had tuberculosis diagnosed, initiated treatment, and successfully completed treatment for all tuberculosis cases, for those with drug-susceptible tuberculosis (including human immunodeficiency virus (HIV)–coinfected cases) and rifampicin-resistant tuberculosis. Estimates were derived from national electronic tuberculosis register data, laboratory data, and published studies.

Results

The overall tuberculosis burden was estimated to be 532005 cases (range, 333760–764480 cases), with successful completion of treatment in 53% of cases. Losses occurred at multiple steps: 5% at test access, 13% at diagnosis, 12% at treatment initiation, and 17% at successful treatment completion. Overall losses were similar among all drug-susceptible cases and those with HIV coinfection (54% and 52%, respectively, successfully completed treatment). Losses were substantially higher among rifampicin- resistant cases, with only 22% successfully completing treatment.

Conclusion

Although the vast majority of individuals with tuberculosis engaged the public health system, just over half were successfully treated. Urgent efforts are required to improve implementation of existing policies and protocols to close gaps in tuberculosis diagnosis, treatment initiation, and successful treatment completion.