ObjectiveAlthough the WHO-developed Service Availability and Readiness Assessment (SARA) tool is a comprehensive and widely applied survey of health facility preparedness, SARA data have not previously been used to model predictors of readiness. We sought to demonstrate that SARA data can be used to model availability of essential medicines for treating non-communicable diseases (EM-NCD).MethodsWe fit a Poisson regression model using 2013 SARA data from 196 Ugandan health facilities. The outcome was total number of different EM-NCD available. Basic amenities, equipment, region, health facility type, managing authority, NCD diagnostic capacity, and range of HIV services were tested as predictor variables.FindingsIn multivariate models, we found significant associations between EM-NCD availability and region, managing authority, facility type, and range of HIV services. For-profit facilities’ EM-NCD counts were 98% higher than public facilities (p < .001). General hospitals and referral health centers had 98% (p = .004) and 105% (p = .002) higher counts compared to primary health centers. Facilities in the North and East had significantly lower counts than those in the capital region (p = 0.015; p = 0.003). Offering HIV care was associated with 35% lower EM-NCD counts (p = 0.006). Offering HIV counseling and testing was associated with 57% higher counts (p = 0.048).ConclusionWe identified multiple within-country disparities in availability of EM-NCD in Uganda. Our findings can be used to identify gaps and guide distribution of limited resources. While the primary purpose of SARA is to assess and monitor health services readiness, we show that it can also be an important resource for answering complex research and policy questions requiring multivariate analysis.
BackgroundUganda adopted voluntary medical male circumcision (VMMC) (also called Safe Male Circumcision in Uganda), as part of its HIV prevention strategy in 2010. Since then, the Ministry of Health (MOH) has implemented VMMC mostly with support from the United States President’s Emergency Plan for AIDS Relief (PEPFAR) through its partners. In 2012, two PEPFAR-led external quality assessments evaluated compliance of service delivery sites with minimum quality standards. Quality gaps were identified, including lack of standardized forms or registers, lack of documentation of client consent, poor preparedness for emergencies and use of untrained service providers. In response, PEPFAR, through a USAID-supported technical assistance project, provided support in quality improvement to the MOH and implementing partners to improve quality and safety in VMMC services and build capacity of MOH staff to continuously improve VMMC service quality.Methods and FindingsSites were supported to identify barriers in achieving national standards, identify possible solutions to overcome the barriers and carry out improvement plans to test these changes, while collecting performance data to objectively measure whether they had bridged gaps. A 53-indicator quality assessment tool was used by teams as a management tool to measure progress; teams also measured client-level indicators through self-assessment of client records. At baseline (February-March 2013), less than 20 percent of sites scored in the “good” range (>80%) for supplies and equipment, patient counseling and surgical procedure; by November 2013, the proportion of sites scoring “good” rose to 67 percent, 93 percent and 90 percent, respectively. Significant improvement was noted in post-operative follow-up at 48 hours, sexually transmitted infection assessment, informed consent and use of local anesthesia but not rate of adverse events.ConclusionPublic sector providers can be engaged to address the quality of VMMC using a continuous quality improvement approach.
This study aimed at analyzing the effect of 5S practice on staff motivation, patients’ waiting time and patient satisfaction with health services at hospitals in Uganda. Double-difference estimates were measured for 13 Regional Referral Hospitals and eight General Hospitals implementing 5S practice separately. The study for Regional Referral Hospitals revealed 5S practice had the effect on staff motivation in terms of commitment to work in the current hospital and waiting time in the dispensary in 10 hospitals implementing 5S, but significant difference was not identified on patient satisfaction. The study for General Hospitals indicated the effect of 5S practice on patient satisfaction as well as waiting time, but staff motivation in two hospitals did not improve. 5S practice enables the hospitals to improve the quality of services in terms of staff motivation, waiting time and patient satisfaction and it takes as least four years in Uganda. The fourth year since the commencement of 5S can be a threshold to move forward to the next step, Continuous Quality Improvement.
Background Uganda has a draft National Health Insurance Bill for the establishment of a National Health Insurance Scheme (NHIS). The proposed health insurance scheme is to pool resources, where the rich will subsidize the treatment of the poor, the healthy will subsidize the treatment of the sick, and the young will subsidize the treatment of the elderly. However, there is still a lack of evidence on how the existing community-based health insurance schemes (CBHIS) can fit within the proposed national scheme. Thus, this study aimed at determining the feasibility of integrating the existing community-based health financing schemes into the proposed National Health Insurance Scheme. Methods In this study, we utilized a multiple–case study design involving mixed methods. The cases (i.e., units of analysis) were defined as the operations, functionality, and sustainability of the three typologies of community-based insurance schemes: provider-managed, community-managed, and third party-managed. The study combined various data collection methods, including interviews, survey desk review of documents, observation, and archives. Findings The CBHIS in Uganda are fragmented with limited coverage. Only 28 schemes existed, which covered a total of 155,057 beneficiaries with an average of 5,538 per scheme. The CBHIS existed in 33 out of 146 districts in Uganda. The average contribution per capita was estimated at Uganda Shillings (UGX) 75,215 = equivalent to United States Dollar (USD) 20.3, accounting for 37% of the national total health expenditure per capita UGX 51.00 = at 2016 prices. Membership was open to everyone irrespective of socio-demographic status. The schemes had inadequate capacity for management, strategic planning, and finances and lacked reserves and reinsurance. The CBHIS structures included promoters, the scheme core, and the community grass-root structures. Conclusion The results demonstrate the possibility and provide a pathway to integrating CBHIS into the proposed NHIS. We however recommend implementation in a phased manner including first providing technical assistance to the existing CBHIS at the district level to address the critical capacity gaps. This would be followed by integrating all three elements of CBHIS structures. The last phase would then involve establishing a single fund for both the formal and informal sectors managed at the national level.
Introduction Health technology assessment (HTA) is an area that remains less implemented in low- and lower middle-income countries. The aim of the study is to understand the perceptions of stakeholders in Uganda towards HTA and its role in decision making, in order to inform its potential implementation in the country. Methods The study takes a cross-sectional mixed methods approach, utilising an adapted version of an International Decision Support Initiative questionnaire with both semi-structured and open-ended questions. We interviewed thirty key informants from different stakeholder institutions in Uganda that have decision making roles in the health sector. Results All participants perceived HTA as an important tool for decision making. Allocative efficiency was regarded as the most important use of HTA receiving the highest average score (8.8 out of 10), followed by quality of healthcare (7.8/10), transparency (7.6/10), budget control (7.5/10) and equity (6.5/10). There was concern that some of the uses of HTA may not be achieved in reality if there was political interference during the HTA process. The technology areas that interviewees highlighted as needing HTA type evaluations urgently were identified as medicines (60.0% of the participants), diagnostics (53.3%), vaccines (40.0%), and public health programs (26.7%). The study participants identified development partners as the most likely potential users of HTA (66.7% of participants), followed by Ministry of Health (43.3%). Conclusion Interviewed stakeholders in Uganda viewed the role of HTA positively, suggesting that there exists a promising environment for the establishment and operationalisation of HTA as a tool for decision making within the health sector. However, sustainable development and application of HTA in Uganda will require adequate capacity both to undertake HTAs and to support their use and uptake.
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