Background: The use of data for planning and improving healthcare delivery is sub-optimal among developing countries. In 2015, Tanzania started to implement the Star Rating Assessment (SRA) process for Primary Health Care (PHC) facilities to improve various dimensions of quality of services, including the use of data. We aimed at assessing the extent and predictors of data use in Tanzanian PHC facilities. Methods: We used the most current national SRA data available in DHIS2 that was collected in 2017/2018 from all 7289 PHC facilities. A facility was considered using data if gained 80% of the allocated scores. Other dependent variables were the three components that together contribute to the use of data (If PHC facility has Health Management Information Systems (HMISs) functional, disseminates information, and has proper medical records). We determined the association between data use and facility ownership status (public or private), location of the facility (rural or urban), gender of the facility in charge, and facility service level (dispensary, health centre, or hospital). Results are presented as proportions of facilities that

Background Star Rating Assessment (SRA) was initiated in 2015 in Tanzania aiming at improving the quality of services provided in Primary Healthcare (PHC) facilities. Social accountability (SA) is among the 12 assessment areas of SRA tools. We aimed to assess the SA performance and its predictors among PHC facilities in Tanzania based on findings of a nationwide reassessment conducted in 2017/18. Methods We used the SRA database with results of 2017/2018 to perform a cross-sectional secondary data analysis on SA dataset. We used proportions to determine the performance of the following five SA indicators: functional committees/boards, display of information on available resources, addressing local concerns, health workers’ engagement with local community, and involvement of community in facility planning process. A facility needed four indicators to be qualified as socially accountable. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were used to determine facilities characteristics associated with SA, namely location (urban or rural), ownership (private or public) and level of service (hospital, health centre or dispensary). Results We included a total of 3,032 PHC facilities of which majority were dispensaries (86.4%), public-owned (76.3%), and located in rural areas (76.0%). On average, 30.4% of the facilities were socially accountable; 72.0% engaged with local communities; and 65.5% involved communities in facility planning process. Nevertheless, as few as 22.5% had functional Health Committees/Boards. A facility was likely to be socially-accountable if public-owned [AOR 5.92; CI: 4.48–7.82, p = 0.001], based in urban areas [AOR 1.25; 95% CI: 1.01–1.53, p = 0.038] or operates at a level higher than Dispensaries (Health centre or Hospital levels) Conclusion Most of the Tanzanian PHC facilities are not socially accountable and therefore much effort in improving the situation should be done. The efforts should target the lower-level facilities, private-owned and rural-based PHC facilities. Regional authorities must capacitate facility committees/boards and ensure guidelines on SA are followed.

Background Client service charter (CSC) provides information about what people can expect in a facility’s services; what is expected of clients and service providers. Tanzania implemented Star Rating Assessment (SRA) of primary health care (PHC) facilities in 2015/16 and 2017/18 using SRA tools with 12 service areas. This paper assesses the status of service area 7, namely client focus that checked if client was satisfied with services provided and implementation of CSC through three indicators–if: CSC was displayed; CSC was monitored; client feedback mechanism and complaints handling was in place. Methods We extracted and performed a cross-sectional secondary data analysis of data related to clients’ focus that are found in national SRA database of 2017/2018 using STATA version 15. Client satisfaction was regarded as dependent variable while facility characteristics plus three indicators of CSC as independent variables. Multivariate logistic regression with p-value of 5% and 95% confidence interval (CI) were applied. Results A total of 4,523 facilities met our inclusion criteria; 3,987 (88.2%) were dispensaries, 408 (9.0%) health centres and 128 (2.8%) hospitals. CSC was displayed in 69.1% facilities, monitored in 32.4% facilities, and 32.5% of the facilities had mechanisms for clients’ feedback and handling complaints. The overall prevalence of clients’ satisfaction was 72.8%. Clients’ satisfaction was strongly associated with all implementation indicators of CSC. Clients from urban-based facilities had 21% increased satisfaction compared rural-based facilities (AOR 1.21; 95%CI: 1.00–1.46); and clients from hospitals had 39% increased satisfaction compared to dispensaries (AOR 1.39; 95%CI: 1.10–1.77). Conclusion The implementation of CSC is low among Tanzanian PHC facilities. Clients are more satisfied if received healthcare services from facilities that display the charter, monitor its implementation, have mechanisms to obtain clients feedback and handle complaints. Clients’ satisfaction at PHC could be improved through adoption and implementation of CSC.

Background The use of data for planning and improving healthcare delivery is sub-optimal among developing countries. In 2015, Tanzania started to implement Star Rating Assessment (SRA) process for primary health care (PHC) facilities to improve various dimensions of quality of services, including the use of data. We aimed at assessing the extent and predictors of data use in Tanzanian PHC facilities. Methodology We used the most current national SRA data available in DHIS2 that was collected in 2017/2018 from all 7,289 PHC facilities. A facility was considered using data if gained 80% of the allocated scores. Other dependent variables were the three components that together contribute to the use of data [If PHC facility has Health Management Information systems (HMIS) functional, disseminate information, and has proper medical records]. We determined the association between data use and facility ownership status (public or private), location of the facility (rural or urban) and facility service level (dispensary, health centre or hospital). Results are presented as proportions of facilities that qualified for data use and the three components. The associations are reported in Adjusted odds ratio (AOR) with a 95% confidence interval (CI). Results A total of 6,663(91.4%) PHC facilities met our inclusion criteria for analysis. Among the facilities: 1,198(18.0%) had used data for planning and services improvement; 3,792(56.9%) had functional HMIS; 1,752(26.3%) had disseminated data; and 631(9.5%) had proper medical records. PHC facilities that are publicly owned (AOR 1.25; 95% CI: 1.05–1.48) and those at higher service level [hospitals (AOR 1.77; 95% CI: 1.27–2.46) and health centres (AOR 1.39; 95% CI: 1.15–1.68) compared to dispensaries] were more likely to use data. Conclusion The use of facility data for planning and services improvement in Tanzanian PHC facilities is low, and much effort needs to be targeted at privately-owned and low-level PHC facilities.

Introduction: The Star Rating Assessment (SRA) system was established by the Tanzanian government as a method to improve the quality of healthcare. To identify factors influencing SRA implementation, we looked at the deployment of SRA Systems in Kibaha Town and Rufiji District Councils. Methods: To comprehend the experiences of distinct healthcare professionals and Quality Improvement Teams (QITs) on implementation of SRA, we used a descriptive cross-sectional study methodology. Focus Group Discussions (FGDs) and in-depth interviews (IDIs) were used to gather data, which was then evaluated using qualitative content analysis. Results: According to the study's findings, the majority of group discussion participants were not aware of the SRA system, the QIT members were unaware of their responsibilities for implementing Quality Improvement Plans (QIPs), and the Council Health Management Teams (CHMT) members were not including QIP follow-up in their quarterly supportive supervisions. Shortage of staff, financial resources, insufficient staff training on the SRA system, and insufficient support from CHMT were among the stated difficulties experienced during the deployment of the SRA system. Discussion: The provision of high-quality healthcare in the study sites has improved as a result of the introduction of the SRA system. Nonetheless, there is a need to support healthcare facilities during implementation and provide them with greater training on the standards assessed by SRA.