Published: 2022-10-29

Determinants of effective staff performance in improving data management in healthcare: a case study of Mombasa county, Kenya

Kayanda Sarah Majala, Alfred Owino Odongo, Juma Joseph Nyamai, Peterson Kariuki


Background: Previous research in developing countries has revealed a variety of issues that may jeopardize data quality in HIS. According to research, many developing countries health information systems are unable to provide the necessary support information. The information produced is of low quality and the information processed is not made good use of to inform decisions. The lack of promotion of information culture harms the performance of HIS. The general objective of the study was to assess factors influencing effective staff performance in improving data management in selected facilities in Mombasa County, Kenya.

Methods: The study adopted a cross-sectional research design with a mixed methods approach. Quantitative data were analyzed using frequencies, proportions, mean, standard deviation, coefficient of variation, cross-tabulations, Phi correlation coefficient, and binary logistic regression (at a significance level of 0.05). Qualitative data were analyzed using content analysis.

Results: The results indicated that organizational factors (ϕ=0.268, p>0.05), staff effectiveness (ϕ=0.408, OR=0.056, p>0.05) and individual attributes (ϕ=0.141, p>0.05) did not have significant influence on staff performance in improving data management, while knowledge and skills (ϕ=0.535, OR=0.031, p<0.05) was found to have a significant influence on staff performance in improving data management.

Conclusions: The study concludes that the knowledge and skills of health care workers are a significant predictor of improvement in data management at the health facilities in Mombasa County.



Data management, Individual attributes, Knowledge and skills, Organizational factors and staff performance

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