BackgroundEnsuring that data collected through national health information systems are of sufficient quality for meaningful interpretation is a challenge in many resource-limited countries. An assessment was conducted to identify strengths and weaknesses of the health data management and reporting systems that capture and transfer routine monitoring and evaluation (M&E) data in Botswana.MethodsThis was a descriptive, qualitative assessment. In-depth interviews were conducted at the national (n = 27), district (n = 31), and facility/community (n = 71) levels to assess i) M&E structures, functions, and capabilities; ii) indicator definitions and reporting guidelines; iii) data collection forms and tools; iv) data management processes; and v) links with the national reporting system. A framework analysis was conducted using ATLAS.ti v6.1.ResultsHealth programs generally had standardized data collection and reporting tools and defined personnel for M&E responsibilities at the national and district levels. Best practices unique to individual health programs were identified and included a variety of relatively low-resource initiatives such as attention to staffing patterns, making health data more accessible for evidence-based decision-making, developing a single source of information related to indicator definitions, data collection tools, and management processes, and utilization of supportive supervision visits to districts and facilities. Weakness included limited ownership of M&E-related duties within facilities, a lack of tertiary training programs to build M&E skills, few standard practices related to confidentiality and document storage, limited dissemination of indicator definitions, and limited functionality of electronic data management systems.ConclusionsAddressing fundamental M&E system issues, further standardization of M&E practices, and increasing health services management responsiveness to time-sensitive information are critical to sustain progress related to health service delivery in Botswana. In addition to high-resource initiatives, such as investments in electronic medical record systems and tertiary training programs, there are a variety of low-resource initiatives, such as regular data quality checks, that can strengthen national health information systems. Applying best practices that are effective within one health program to data management and reporting systems of other programs is a practical approach for strengthening health informatics and improving data quality.
This mixed-methods study used qualitative interviews to explore discrepancies between self-reported HIV care and treatment-related behaviors and the presence of antiretroviral medications (ARVs) in a population-based survey in South Africa. ARV analytes were identified among 18% of those reporting HIV-negative status and 18% of those reporting not being on ART. Among participants reporting diagnosis over a year prior, 19% reported multiple HIV tests in the past year. Qualitative results indicated that participant misunderstandings about their care and treatment played a substantial role in reporting inaccuracies. Participants conflated the term HIV test with CD4 and viral load testing, and confusion with terminology was compounded by recall difficulties. Data entry errors likely also played a role. Frequent discrepancies between biomarkers and self-reported data were more likely due to poor understanding of care and treatment and biomedical terminology than intentional misreporting. Results indicate a need for improving patient-provider communication, in addition to incorporating objective measures of treatment and care behaviors such as ARV analytes, to reduce inaccuracies.
BackgroundThe demand for quality data and the interest in health information systems has increased due to the need for country-level progress reporting towards attainment of the United Nations Millennium Development Goals and global health initiatives. To improve monitoring and evaluation (M&E) of health programs in Botswana, 51 recent university graduates with no experience in M&E were recruited and provided with on-the-job training and mentoring to develop a new cadre of health worker: the district M&E officer. Three years after establishment of the cadre, an assessment was conducted to document achievements and lessons learnt.MethodsThis qualitative assessment included in-depth interviews at the national level (n = 12) with officers from government institutions, donor agencies, and technical organizations; and six focus group discussions separately with district M&E officers, district managers, and program officers coordinating different district health programs.ResultsReported achievements of the cadre included improved health worker capacity to monitor and evaluate programs within the districts; improved data quality, management, and reporting; increased use of health data for disease surveillance, operational research, and planning purposes; and increased availability of time for nurses and other health workers to concentrate on core clinical duties. Lessons learnt from the assessment included: the importance of clarifying roles for newly established cadres, aligning resources and equipment to expectations, importance of stakeholder collaboration in implementation of sustainable programs, and ensuring retention of new cadres.ConclusionThe development of a dedicated M&E cadre at the district level contributed positively to health information systems in Botswana by helping build M&E capacity and improving data quality, management, and data use. This assessment has shown that such cadres can be developed sustainably if the initiative is country-led, focusing on recruitment and capacity-development of local counterparts, with a clear government retention plan.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.