Enhancing Computer Literacy in Rural Clinics: A Case Study

Thesis Abstract

This study investigates the persistent gap in computer literacy among healthcare workers in rural clinic settings and examines how a structured, locally tailored digital literacy intervention can enhance users’ competencies, confidence, and utilisation of information systems to improve patient care and record-keeping. The primary aim is to evaluate the effectiveness of a blended training program designed for rural clinics in increasing computer self-efficacy, system usage, and data quality. Specific objectives include (1) to assess baseline computer literacy levels and ICT access among clinical and administrative staff; (2) to develop and implement a 12-week blended training curriculum incorporating hands-on practice, on-site mentoring, and smartphone-enabled microlearning modules; (3) to evaluate changes in computer self-efficacy, attitudes towards technology, and frequency of electronic health record (EHR) usage post-intervention; (4) to examine the impact of training on data accuracy, completeness, and timeliness in patient records; and (5) to identify organizational, infrastructural, and user-related facilitators and barriers to sustained ICT adoption. The study adopts a mixed-methods design underpinned by the Technology Acceptance Model and the Diffusion of Innovations theory to interpret adoption dynamics. The population comprises clinical and administrative staff from 24 rural clinics within a regional health district with limited broadband and intermittent power supply. A two-stage sampling approach selects 24 clinics and, within each clinic, 6–8 staff members (n ? 144) for quantitative surveys and purposive sub-sampling of 40 participants for in-depth interviews and focus groups. Data collection instruments include a validated Computer Literacy Scale, a Self-Efficacy for ICT questionnaire, EHR usage logs, and a structured performance checklist for data quality. Qualitative data are gathered through semi-structured interviews and focus groups exploring perceived barriers, training experiences, and organizational support. Validity and reliability are ensured via pilot testing, triangulation, and Cronbach’s alpha checks (? ? 0.80 for scales). Quantitative data are analyzed using descriptive statistics, paired t-tests, and multiple regression to identify determinants of post-training ICT usage and data quality. A difference-in-differences approach evaluates pre- and post-intervention changes across clinics, while ANOVA tests examine variance in outcomes by cadre (clinical vs. administrative) and prior ICT exposure. Qualitative data are analyzed thematically using a six-stage framework (familiarization, coding, theme development, revision, definition, and reporting) with corroboration through member checking. The anticipated findings include significant improvements in computer self-efficacy (mean increase ? 0.9 on a 5-point scale), higher EHR utilization rates (increase from 45% to 78% of workdays with active EHR use), and enhanced data quality metrics (completeness and timeliness improvements of 15–20%). The study also expects to uncover critical facilitators such as on-site mentoring, practical relevance of tasks, and provision of reliable power and network access, as well as barriers including high staff turnover, competing workload demands, and limited hardware resources. The research will contribute to knowledge by empirically validating a scalable, context-sensitive ICT capacity-building model for rural health settings, integrating the Theory of Planned Behavior with Diffusion of Innovations to explain changes in intention and adoption. Policy and management implications include a framework for designing sustainable ICT training programs that align with rural health infrastructure constraints, a set of evidence-based metrics for monitoring data quality post-implementation, and recommendations for combining periodic in-person training with digital microlearning to reinforce competence. The study concludes that targeted, participatory training interventions can materially enhance computer literacy, EHR usage, and data quality in rural clinics when paired with adequate infrastructure support and organizational buy-in, with the potential to improve patient documentation, care coordination, and service delivery. Practical recommendations emphasize investing in reliable power and connectivity, establishing local champions, and integrating ICT training into routine professional development to sustain gains beyond the project period.