{"title":"Insights into healthcare workers' perceptions of electronic medical record system utilization: a cross-sectional study in Mafeteng district, Lesotho.","authors":"Tebeli E Sekoai, Astrid Turner, Janine Mitchell","doi":"10.1186/s12911-025-02858-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Electronic medical record (EMR) systems have significantly transformed how healthcare data is created, managed, and utilized, offering improved legibility, accessibility, and support for clinical decision-making compared to paper records. In Lesotho, the system was implemented to enhance patient care, track patients, and generate reports for evidence-based programming. It is imperative to understand how healthcare workers (HCWs) perceive the system as frontline end-users; thus, the aim of the study was to explore HCWs' perceptions of the system, focusing on perceived usefulness (PU) and perceived ease of use (PEU) and factors influencing acceptance and utilization in Mafeteng district.</p><p><strong>Methods: </strong>A descriptive cross-sectional study design was conducted; 145 healthcare workers from 17 health facilities were invited to participate. The Technology Acceptance Model was incorporated into a self-administered questionnaire. The analysis employed descriptive statistics and the constructs of PU and PEU using Stata/BE 18.0. Multiple regression examined HCWs' perceptions, while verbatim text from participants clarified quantitative findings.</p><p><strong>Results: </strong>The study had a 49% response rate (n = 71). Most participants were female (70.42%; n = 50), with registered nurse midwives as the most common profession (45.07%; n = 32). A large proportion reported 'good' or 'very good' computer skills (43.66%; n = 31). For PU, 87.32% found the EMR system useful, 83.1% agreed it improves job performance, and 83.1% said it saves time. For PEU, 85.91% found the system easy to use, 81.69% could recover from errors, and 85% could remember task procedures. Network connectivity and electricity supply were cited as barriers to the effective use of the EMR system in health facilities, resulting in interruptions in service delivery. The characteristics of sex and profession had no significant impact on PU and PEU, while both qualification (p = 0.035) and computer skills (p = 0.007) were significant, indicating a positive association with greater PEU of the EMR system.</p><p><strong>Conclusion: </strong>HCWs in the Mafeteng District exhibited positive attitudes toward the EMR system, recognising its usefulness, ease of use, and efficiency. Sustaining computer literacy and addressing infrastructural challenges could further enhance the successful implementation and adoption of the system, ultimately improving patient care outcomes.</p>","PeriodicalId":9340,"journal":{"name":"BMC Medical Informatics and Decision Making","volume":"25 1","pages":"181"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12070494/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Informatics and Decision Making","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12911-025-02858-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Electronic medical record (EMR) systems have significantly transformed how healthcare data is created, managed, and utilized, offering improved legibility, accessibility, and support for clinical decision-making compared to paper records. In Lesotho, the system was implemented to enhance patient care, track patients, and generate reports for evidence-based programming. It is imperative to understand how healthcare workers (HCWs) perceive the system as frontline end-users; thus, the aim of the study was to explore HCWs' perceptions of the system, focusing on perceived usefulness (PU) and perceived ease of use (PEU) and factors influencing acceptance and utilization in Mafeteng district.
Methods: A descriptive cross-sectional study design was conducted; 145 healthcare workers from 17 health facilities were invited to participate. The Technology Acceptance Model was incorporated into a self-administered questionnaire. The analysis employed descriptive statistics and the constructs of PU and PEU using Stata/BE 18.0. Multiple regression examined HCWs' perceptions, while verbatim text from participants clarified quantitative findings.
Results: The study had a 49% response rate (n = 71). Most participants were female (70.42%; n = 50), with registered nurse midwives as the most common profession (45.07%; n = 32). A large proportion reported 'good' or 'very good' computer skills (43.66%; n = 31). For PU, 87.32% found the EMR system useful, 83.1% agreed it improves job performance, and 83.1% said it saves time. For PEU, 85.91% found the system easy to use, 81.69% could recover from errors, and 85% could remember task procedures. Network connectivity and electricity supply were cited as barriers to the effective use of the EMR system in health facilities, resulting in interruptions in service delivery. The characteristics of sex and profession had no significant impact on PU and PEU, while both qualification (p = 0.035) and computer skills (p = 0.007) were significant, indicating a positive association with greater PEU of the EMR system.
Conclusion: HCWs in the Mafeteng District exhibited positive attitudes toward the EMR system, recognising its usefulness, ease of use, and efficiency. Sustaining computer literacy and addressing infrastructural challenges could further enhance the successful implementation and adoption of the system, ultimately improving patient care outcomes.
期刊介绍:
BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.