International Journal of Academic and Applied Research (IJAAR)
  Year: 2022 | Volume: 6 | Issue: 4 | Page No.: 99-122
Health Care Financing and Health Service Delivery in Public Hospitals during Covid-19 Lock down: A Case of Lyantonde Hospital Download PDF
Twesigye Nduhura, Ritah Nansamba Teddy Akakikunda Muhammad Masembe

Abstract:
The study examined the effect of health financing on health service delivery in public hospitals, a case of Lyantonde Hospital study the above general objective, the following specific objectives were adopted; to determine the effect of government financing on health service delivery in public hospitals; to examine the effect of donor financing on health service delivery in public hospitals; to find out the effect of out-of-pocket financing on health service delivery in public hospitals.The study employed a correlation design to establish the underlying effect/relationship among study variables and a case study design to obtain information, and opinions from a large group of people in order to describe some characteristics of a phenomenon. Both qualitative and quantitative methods will be used in order to reduce bias. Quantitative approaches were adopted when sampling, collecting data, Controlling data quality and in analysing data. Qualitative approach will be helpful in interpreting people's thoughts, opinions and perceptions about Health sector financing and health service delivery. The qualitative data gave a narrative and descriptive information that will explain and give deeper understanding and insight into a problem .The study used both primary data sources and secondary data sources to enable the researcher meet the study objectives. Qualitative data was obtained from open ended questionnaires and by conducting interviews with other respondents to provide additional information to study problem. Quantitative data dealt with numbers and anything that was measurable in a systematic way of investigation of phenomena and their relationships. It answered questions on relationships within measurable variables with an intention to explain, predict and control phenomena