Community-led monitoring and the role of Ritshidze in improving the quality of primary healthcare in South Africa.

Community-led monitoring (CLM) of health services is a mechanism of community participation and accountability that is increasingly advocated across the globe. In South Africa (SA), a large-scale community-led monitoring initiative called Ritshidze ('saving our lives') was established in 2019. Steered by a coalition of civil society organisations representing people living with HIV, Ritshidze monitors just over 400 primary healthcare (PHC) facilities in 8 provinces on a quarterly basis. In this piece we describe the purposes and design features and the five-step approach to CLM of the Ritshidze model. We also highlight some of the positive changes achieved, and reflect on possible reasons for successes. In doing so, we aim to draw attention to this significant national initiative and its potential as a mechanism of social accountability in SA.

District Health System performance in South Africa: Are current monitoring systems optimal?

In this article, we review the monitoring and evaluation system that is used to measure the performance of primary healthcare delivered through the district health system and district management teams. We then review some global frameworks, especially linked to the World Health Organization, and look at some of the differences between what is internationally recommended and what we do in South Africa. We end with some recommendations to improve the system.

Data Centre Profile: The Provincial Health Data Centre of the Western Cape Province, South Africa.

INTRODUCTION: The Western Cape Provincial Health Data Centre (PHDC) consolidates person-level clinical data across government services, leveraging sustained investments in patient registration systems, a unique identifier, and maturation of administrative and clinical digital health systems. OBJECTIVES: The PHDC supports clinical care directly through tools for clinicians which integrate patient data or identify patients in need of interventions, and indirectly through supporting operational and epidemiological analyses. METHODS: The PHDC is housed entirely within government. Data are processed from a range of source systems, usually daily, through distinct harmonisation and curation, beneficiation, and reporting processes. Linkage is predominantly through the unique identifier which doubles as a pervasive folder number, augmented by other identifiers. Further data processing includes triangulation of multiple data sources for enumerating health conditions, with assignment of certainty levels for each enumeration. Outputs include patient-specific email alerts, a web-based consolidated patient clinical viewing platform, filterable line-listings of patients with specific conditions and associated characteristics and outcomes, management reports and dashboards, and data releases in response to operational and research data requests. Strict architectural, administrative and governance processes ensure privacy protection. RESULTS: In the past decade 8 million unique people are recorded as having sought healthcare in the provincial public sector health services, with current utilisation at 15 million attendances or admissions a year. Cross-sectional enumeration of health conditions includes over 430 000 people with HIV, 500 000 with hypertension, 235 000 with diabetes. Annually 110 000 pregnancies and 54 000 patients with tuberculosis are enumerated. Over 50 data requests are processed each year for internal and external requesters in accordance with data request and release governance processes. CONCLUSIONS: The single consolidated environment for person-level health data in the Western Cape has created new opportunities for supporting patient care, while improving the governance around access to and release of sensitive patient data.

Levels of health care at academic and regional hospitals in KwaZulu-Natal.

OBJECTIVE: To assess the levels of health care based on hospital bed utilisation at seven academic and regional hospitals in KwaZulu-Natal. DESIGN: A prospective study. The registrar in charge of patients documented the level of care needed for each patient over 7 consecutive days. Independent assessment by consultants was used to validate the results. SETTING: All wards in public sector regional and tertiary hospitals with acute general beds in Durban and Pietermaritzburg, except intensive care, coronary care and respiratory units. PARTICIPANTS: All inpatients present in the wards. The response rate of wards participating in the study varied between hospitals from 32% to 75%. Data on 14,858 patient days were analysed. OUTCOME MEASURES: Inpatients were classified according to levels of care based on patient days. RESULTS: The proportion of patients in the tertiary (King Edward) and regional hospitals requiring levels of care below that for which the hospital was designated ranged from 54% to 72% of the patient days. Wentworth Hospital, which is a tertiary referral centre, had 30% of its patient days judged to be below the designated level. Patient days below the designated level of care for that hospital were significantly higher in tertiary than in regional hospitals (P < 0.001). CONCLUSIONS: All seven hospitals admitted patients at levels of care below that for which the hospital was designated. These findings have important implications for the efficient utilisation and planning of health and hospital services, and for their evaluation and management.