Assessing the Level of Digital Health Literacy and Acceptability of the Lightwave Health Information Management System Among Health Workers at the Lekma Hospital

Abstract

Background The successful adoption of electronic health systems such as Electronic Medical Records (EMRs) depends on users' digital health literacy. This study assessed the level of digital health literacy and the acceptability of the Lightwave Health Information Management System (LHIMS) among healthcare professionals at LEKMA Hospital in Ghana. Methods A facility-based, cross-sectional study was conducted among 78 healthcare workers selected through stratified random sampling. Data was collected using structured questionnaires assessing digital health literacy and LHIMS acceptability. Descriptive statistics summarized sociodemographic characteristics, acceptability constructs and multiple linear regression analysis applied to examine associations between digital health literacy levels and acceptability of the system. Results Healthcare workers demonstrated high digital health literacy (Mean=4.02 (SD = 0.41)), and strong acceptance of LHIMS (Mean = 3.83, SD=0.08). Age was negatively associated with performance expectancy (β = –0.035, p = 0.007), while radiographers reported higher performance expectancy (β = 1.044, p = 0.016). Possessing an undergraduate degree correlated with effort expectancy, though not statistically significant (p = 0.115). Digital health literacy consistently predicted all acceptance constructs, including performance expectancy (β = 1.149, p < 0.001), effort expectancy (β = 0.759, p < 0.001), social influence (β = 0.589, p < 0.001), and facilitating conditions (β = 0.639, p < 0.001). Conclusions Healthcare professionals at LEKMA Hospital demonstrated strong digital readiness and a high level of acceptability of the LHIMS platform. The findings highlight the need for targeted digital capacity-building interventions and suggest that tailored implementation strategies based on professional roles could support sustainable adoption of electronic health systems in similar settings.