A mixed-method study of quality, availability and timeliness of non-communicable disease (NCD) related data and its link to NCD prevention: Perceptions of health care workers in Ethiopia

Lessons Learned From the Capacity-Building and Mentorship Program to Improve Health Information Systems in 11 Districts of Ethiopia

Health information systems strengthening interventions, such as the capacity-building and mentorship program used, leverages the expertise of stakeholders from multiple disciplines and can help improve data quality and information use at health facilities.

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Noncommunicable Diseases Prevention Policies and Their Implementation in Africa: A Systematic Review

Objectives: To synthesize the existing evidence on NCD policy equity, policy practices, and policy implementation gaps to prevent NCDs in African countries.

Methods: Following the PRISMA-Extension for equity-focused review guidelines, the authors systematically searched documentary evidence from seven databases (BMC, CINHAL Plus, Cochrane, Google Scholar, PubMed, Web of Science, and Scopus) to identify studies conducted and published on African countries between April 2013 and December 31, 2020.

Results: From identified 213 records, 21 studies were included in the final synthesis. Major results showed inadequate studies on NCD policy, unsatisfactory NCD-related policy development, poor policy implementation, lack of policy equity to combat NCDs, and lack of data recorded on NCDs’ prevalence, morbidity, and mortality.

Conclusion: The rigorous WHO-endorsed NCD policies and prevention strategies on the African continent might debar African policymakers and leaders from developing and implementing indigenous NCD-combating strategies. Continent-wide innovative and indigenous NCD-prevention policies and policy equity to effectively prevent, control, and manage NCDs must be developed by African scientists and policymakers.

Strengthening routine health data analysis in Ethiopia: the Operational Research and Coaching for Analysts (ORCA) experience

Many routine health information systems (RHIS) show persistent gaps between recording and reporting data and their effective use in solving problems. Strengthening RHIS has become a global priority to track and address national health goals. In Ethiopia, the Ministry of Health and Bill & Melinda Gates Foundation introduced the Operational Research and Coaching for Analysts (ORCA) capacity development project, co-designed with the London School of Hygiene & Tropical Medicine, which delivered training, coaching and mentoring support. We present the development, experiences, and perceptions of ORCA as a mechanism to enhance data quality, analysis, interpretation and use. ORCA integrated capacity development activities into national data analysts’ routine workload over a period of 2 years. Participating analysts were drawn from across the Ministry of Health directorates and two of its closely aligned agencies: the Ethiopian Public Health Institute and the Ethiopian Pharmaceutical Supply Agency. We used mixed methods (knowledge questionnaire, semi-structured interviews, programme records) to document the fidelity, feasibility, reach, and acceptability of ORCA and identify early signs of improved knowledge and changing institutional practices. Thirty-six participants completed the programme. Working in interdisciplinary groups on specific national health indicators, they received training workshops and support for study design, fieldwork, and analysis to build skills in assessing data quality and interpreting findings relevant to policy. Personal development grants and laptops provided incentives for sustained engagement. Participants appreciated ORCA’s applied and practical approach as well as good communication from administrators and clear links to national strategy. They also expressed frustration with delays, difficulties prioritising project work over routine responsibilities, and lack of formal accreditation. Knowledge and analytic skills increased and participants were able to integrate experiences from the project into their future work. Health system managers saw potential in longer-term improvements in data analysis and application to policy, although no clear changes were observed yet.