Browsing by Author "Anguyo DDM Onzima, Robert"

Now showing 1 - 2 of 2

Assessment of safe motherhood health service coverage, birth defects detection and child disability prevention using lot quality assurance sampling in Central Uganda
(East African Health Research Commission, 2023) Akankwasa, Edith; Kamya, Willy; Sendijja, Moses; Mudoola, Janet; Lwenge, Mathias; Anguyo DDM Onzima, Robert; Kasozi, Daniel; Byansi, Peter; Katongole, Simon Peter
It is crucial to have satisfactory coverage of safe motherhood services in order to prevent birth defects and child disabilities. Mildmay Uganda Institute of Health Sciences (MIHS) implemented a safe motherhood project aimed at preventing birth defects and child disabilities. Three years after the project’s implementation, a rapid cross-sectional health facility survey was conducted in 4 districts of central Uganda to assess the coverage of key safe motherhood and early childhood services. The Lot Quality Assurance Sampling approach was used to assess coverage of 16 indicators in the areas of ANC, skilled birth attendance, early childhood care, postnatal care, and knowledge about child disability prevention. A Decision Rule was set at 80% upper threshold to classify the performance of health facilities at the district level. The survey found that there was variation in performance across indicators and districts. All districts achieved the 80% coverage target in ANC first visit, mothers who received at least two doses of Fansidar for intermittent preventive treatment of malaria in pregnancy, and mothers with knowledge of the action to take in case they suspect childhood disability. Folic acid supplementation during pregnancy and screening for birth defects using the Appearance, Pulse, Grimace, Activity, and Respiration (APGAR) score had overall coverage above the target, but one district each had coverage below target in each of these 2 indicators. The coverage target was not reached in the rest of the survey indicators in each of the districts. Well-performing districts, especially in indicators with inconsistent performance, offer valuable insights for learning and adapting interventions in districts that do not meet the desired coverage of those particular indicators. Considering the disparities in performance among different indicators and districts, project planners should adopt, modify and implement successful strategies in districts and indicators that perform well. By doing so, they can enhance the performance of under performing districts or indicators.
Determining Healthcare Workforce Requirements for Kuluva Hospital in West Nile-Uganda, using the Workload Indicators of Staffing Need (WISN)
(Research Square, 2023-04-29) Anguyo DDM Onzima, Robert; Govule, Philip; Apangu, Titus; Harogha, Alan; Wibale, Wilson; Debo, Ronald; Ambayo, Richard; Lulua Awudo, Jimmy; Maryekmungu, Immaculate; Likico Bayoru, Aziku Celina; Nanyingi, Miisa; Karengera, Innocent
Health workforce shortage is a major threat to global public health with a greater implication for low resourced countries. The right placement of the available staff in many health facilities remains a challenge due to inadequate information on exact workload and work pressure that staff undergo in course of work. This study aimed to determine the need for key health workforce cadre in Kuluva hospital using Workload Indicators of Staffing Need (WISN) methodology. The study followed a predominantly quantitative approach of Workload Indicator Staffing Needs (WISN) methodology. We held a meeting with hospital management to understand policy issues and procedures. The key staff were interviewed in departments, available records reviewed, practices observed to establish the available working time, activity standards and time taken to perform other supportive activities. Service statistics was generated from HMIS data of 2016/17. Data was analyzed manually using calculator and Microsoft Excel spreadsheet. All cadre categories had the same available working time of 1,504 hours in a year with 105 staff of the studied cadres required to perform all activities in Kuluva hospital based on WISN calculation. Although overall work pressure was 30%, 5 out of 7 staff cadre categories experienced work pressure of varying degrees – medical officers (70%), laboratory staff (70%) and clinical officers (60%) were most affected compared to nurses (30%) and midwives (10%). There was perfect number of anesthetists but surplus nursing assistants than needed by the hospital. Amidst shortage, the critical cadres still spent significant time on non-professional activities; medical officers (24%) and midwives (25%). These findings can provide insight into the management of Kuluva hospital to address the current disparities in the health workforce in terms of numbers and skill mix for continuous improvement of health service delivery to the population it serves.