Level of User Satisfaction with Electronic Medical Records System among Health Workers in Kakamega County Teaching and Referral Hospital, Kenya

dc.contributor.authorOkumu, Olivia Bukachi
dc.date.accessioned2024-09-26T06:36:57Z
dc.date.available2024-09-26T06:36:57Z
dc.date.issued2024-02
dc.descriptionA Research Thesis Submitted in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Science (Health Information Management) in the School of Health Sciences of Kenyatta University, February, 2024
dc.description.abstractStudies have reported low adoption of Electronic Medical Records (EMR) mainly because of lack of EMR use by end users. The main objective of this study was to establish the level of satisfaction by users with electronic medical records system among health workers in Kakamega County Referral Hospital by determining the level of user satisfaction levels with the EMR system by examining the influence of user characteristics and system factors on the level of user satisfaction with EMR system. A descriptive cross-sectional research design was adopted. The study targeted health care workers who had ever used the EMRS system in the hospital before and during the time of the study. The respondents were stratified into homogeneous groups according to cadre and randomly sampled. Fisher et al. (1998) formula was used to determine a sample size of 252 respondents. Structured questionnaires and Key informant interviews were used to collect data. Instrument reliability was by use of Cronbach Alpha coefficient (0.743) and content and construct validity was verified by field experts. Data analysis was both descriptive and inferential analysis. Response rate was 98.01% and the average satisfaction index of EMRS was 54.5%. Key informant (KI) 1“Generally Satisfied with the system because it is easy to use and there is faster and easier retrieval of patient information…” Majority of user characteristics and system factors did influence the level of satisfaction of health workers on the use of ERMS. Age (𝝌𝟐 11.66(p value 0.03) Gender (𝝌𝟐15.566 (p value <0.001) Profession ((Fisher exact) <0.001) Computer Literacy 𝝌𝟐 15.159(p value < 0.001), Training 𝝌𝟐 5.955(p value 0.015) Attitude 𝝌𝟐 95.675(p value < 0.001), significantly associated with overall satisfaction of EMR system. Years worked in hospital were not associated with user satisfaction (p value of 4).KI3 “All staff are required to have a certificate in basic IT this enables the staff to use the system but regular trainings on the EMRs would be appreciated to increase competency of the staff on the system...” The system factors were Information quality 𝝌𝟐 39.314(p value < 0.001), 𝝌𝟐 6.352(p value < 0.012) System quality 𝝌𝟐 8.062(p value < 0.005) 𝝌𝟐 4.452(p value < 0.033) were all associated with user satisfaction while Service quality 𝝌𝟐 2.047(p value < 0.153) 𝝌𝟐 3.333(p value 0.068) was not associated with user satisfaction. KII “The system is secure you cannot access the Emr without a password. Though Users can easily manipulate the system thus the Information Is not taken as being 100% truthful e.g. you can be able to change past patient information...” The binary logistic regression model of overall satisfaction (Omnibus test χ2= 141.055, p < 0.001) and could correctly predict 84.1% of the users who were satisfied with EMRS systems.The study recommendations included a periodical review of user satisfaction levels plus frequent trainings on the system by users and lastly system developers should upgrade system factors such as security, clinical decision support and ability to generate end month reports. A study can be conducted to check why different healthcare professional’s level of user satisfaction differs.
dc.description.sponsorshipKenyatta University
dc.identifier.urihttps://ir-library.ku.ac.ke/handle/123456789/28875
dc.language.isoen
dc.publisherKenyatta University
dc.titleLevel of User Satisfaction with Electronic Medical Records System among Health Workers in Kakamega County Teaching and Referral Hospital, Kenya
dc.typeThesis
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