Ensuring Safety of Patients in Complex Health Systems: A Focus on Primary Healthcare Service Relations in Nigeria.

Patient-centered healthcare is a goal for all health systems. However, given the inherent complexities of the health system as one with many nonlinear and dynamic components, the safety of patients could be affected. Therefore, there is the need to study these complexities to manage them toward optimal service delivery. The present study is a qualitative inquiry into the complexities of primary healthcare (PHC) in Nigeria and effects on patients' safety across four PHC facilities in Enugu state in southeast Nigeria. It utilizes a framework that draws on the components of interprofessional collaboration, inclusive of health financing and health workforce satisfaction, to understand the complex PHC system and patient safety. The study findings show that the PHC system in the study area performs suboptimally on the three counts, which implies poor management of the complexities of the system such that patients are highly susceptible to harm. Making a commitment to addressing the shortcomings present in each of the three components will help to decomplexify PHC in line with the World Health Organization agenda of achieving resilient and strong health systems. Importantly, optimizing the psychosocial space in Nigeria's PHC by employing qualified social workers and other psychosocial professionals is crucial for patient safety and a range of psychosocial activities that can enhance job satisfaction of health workers.

Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System?

BACKGROUND: During 2012-2015, the Federal Government of Nigeria launched the Subsidy Reinvestment and Empowerment Programme, a health system strengthening (HSS) programme with a Maternal and Child Health component (Subsidy Reinvestment and Empowerment Programme [SURE-P]/MCH), which was monitored using the Health Management Information Systems (HMIS) data reporting tools. Good quality data is essential for health policy and planning decisions yet, little is known on whether and how broad health systems strengthening programmes affect quality of data. This paper explores the effects of the SURE-P/MCH on completeness of MCH data in the National HMIS. METHODS: This mixed-methods study was undertaken in Anambra state, southeast Nigeria. A standardized proforma was used to collect facility-level data from the facility registers on MCH services to assess the completeness of data from 2 interventions and one control clusters. The facility data was collected to cover before, during, and after the SURE-P intervention activities. Qualitative in-depth interviews were conducted with purposefully-identified health facility workers to identify their views and experiences of changes in data quality throughout the above 3 periods. RESULTS: Quantitative analysis of the facility data showed that data completeness improved substantially, starting before SURE-P and continuing during SURE-P but across all clusters (ie, including the control). Also health workers felt data completeness were improved during the SURE-P, but declined with the cessation of the programme. We also found that challenges to data completeness are dependent on many variables including a high burden on providers for data collection, many variables to be filled in the data collection tools, and lack of health worker incentives. CONCLUSION: Quantitative analysis showed improved data completeness and health workers believed the SURE-P/MCH had contributed to the improvement. The functioning of national HMIS are inevitably linked with other health systems components. While health systems strengthening programmes have a great potential for improved overall systems performance, a more granular understanding of their implications on the specific components such as the resultant quality of HMIS data, is needed.