Evidence Based Decision Making to the Continuous Quality Improvement of Labour and Delivery Services in Saint Paul Hospital Millennium Medical College

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Addis Ababa University


Background: Delivering high quality health service by health facilities is achieved through the implementation of continuous quality improvement. Good health information systems are crucial for addressing health challenges and improving health service delivery in developing countries. However, the quality of the data produced by such systems is often poor and the data are not used effectively for decision-making. Objective: The objective of this project is to improve the quality of labor and delivery service through evidence based decision making in Saint Paul’s Hospital Millennium Medical College. Methodology: A descriptive study design with quantitative method was employed to conduct the baseline assessment before the implementation of the project in Saint Paul’s Hospital Millennium Medical College from April to June 2014. The whole health professionals working in the labor and delivery unit were participated in the assessment. The data were collected using self administered closed structured questionnaire and analyzed using SPSS version 16.0. As part of the intervention and problem solving mechanism, the baseline assessment was presented and also orientation on data quality, health service quality and model for quality improvement were given to the quality management team of the labor and delivery unit and action plan was designed after a through discussion on the results and the orientation to solve the problems identified. Results: The findings of this project have shown that among the total respondents 54.8 % of the respondents did not have knowledge of quality improvement project. About 67.1 % of the study participants did not know about Key Performance Indicator (KPIs). In addition 32% of the respondents said that the team work; and 29% said knowledge about the project were the critical factors to successful implementation of Quality Improvement Project. Around 51.1 % of the respondents did not agree that the labor and delivery unit has quality of data. Even though 71.1 % of the managers responded that there is no clear quality policy within the hospital, the same percentage responded about the availability of quality improvement program. Coming to the evaluation of the staff’s commitment for the quality improvement project; the majority, 85.7 %, of the respondents responded that the staffs were fairly committed. Since this project is on progress its effect will be appreciated in the future after the proper implementation of the action plan designed. Conclusion and Recommendation: High proportion of the staff did not know about the quality improvement project; for this and other reasons the quality of data in the labor and delivery unit is found to be poor; however they all have shown their interest to work in team and also to have training in quality improvement project. Possible solutions proposed and intervention was given.



Based Decision Making to the Continuous Quality Improvement