Portable Radiography Innovation to Improve Diagnosis in Rural Community Health Centers in North Sumatra

Equitable access to radiological diagnostic services stands as a crucial foundation for an effective primary healthcare system, particularly in remote regions often contending with geographical and infrastructural challenges. The innovation of portable radiography technology offers a transformative solution to bridge this access gap, enabling rapid and accurate diagnostic imaging directly at the point of care, which is vital for early detection and management of infectious diseases and acute injuries. Recent data from the Indonesian Ministry of Health indicates that the coverage of radiological services in rural areas significantly lags behind urban centers, creating health disparities that necessitate urgent attention. The specific research gap lies in a comprehensive evaluation of the implementation, effectiveness, and impact of portable radiography innovation within the context of rural health centers in North Sumatra, a region characterized by unique demographic and geographical features, and a dearth of in-depth studies quantitatively measuring improvements in diagnostic accuracy and patient workflow efficiency. This research aims to comprehensively evaluate the effectiveness and impact of portable radiography innovation in enhancing diagnostic accuracy and patient workflow efficiency in rural health centers in North Sumatra Province. Grounded in Rogers' Diffusion of Innovations theory, which elucidates the process of technology adoption, and Evidence-Based Practice (EBP) theory, emphasizing the use of best scientific evidence in clinical decision-making, this study tests the primary hypothesis that the implementation of portable radiography will significantly improve diagnostic accuracy rates compared to conventional methods and expedite patient waiting times from examination request to diagnostic outcome. Employing a quasi-experimental quantitative study design with a pre-post test control group approach, deemed highly suitable for evaluating the impact of new technological interventions in existing environments without complete control over subject allocation, the justification for this design lies in its ability to compare outcomes before and after intervention, as well as against a control group, thereby minimizing selection bias. The sample comprised 10 rural health centers in North Sumatra, selected through purposive sampling based on accessibility and basic infrastructure criteria, with 5 centers designated as the intervention group equipped with portable radiography units and 5 as the control group continuing with conventional referral methods. A total of 400 patients (200 in each group) participated, with balanced demographic characteristics concerning age, gender, and common medical complaints such as respiratory issues and musculoskeletal pain. Primary measurement instruments included patient medical records, radiology reports, and patient satisfaction questionnaires; these were validated through pilot testing and demonstrated high reliability (Cronbach's Alpha > 0.85) for satisfaction and efficiency aspects. The research procedure involved collecting baseline data on diagnostic accuracy and waiting times from the control group, followed by the implementation of portable radiography units in the intervention group, and subsequent post-implementation data collection from both groups. Data analysis utilized independent t-tests to compare mean differences in diagnostic accuracy and waiting times between the intervention and control groups, and paired t-tests for pre-post comparisons within the intervention group, with a significance level set at p < 0.05. The results demonstrated that the implementation of portable radiography innovation significantly enhanced diagnostic accuracy in rural health centers, with the intervention group post-implementation achieving an average accuracy of 92.5% (SD = 3.2%), a substantial increase from the baseline of 78.0% (SD = 4.5%) (t(199) = 15.8, p < 0.001, Cohen's d = 2.25), while the control group showed a relatively stable accuracy of 79.5% (SD = 4.1%). Furthermore, the average time from examination request to diagnostic outcome in the intervention group drastically reduced to 45 minutes (SD = 10.5 minutes), compared to 180 minutes (SD = 35.2 minutes) in the control group (t(199) = 28.5, p < 0.001, Cohen's d = 4.0). Secondary analyses indicated that improved diagnostic accuracy was particularly pronounced in cases of pneumonia and minor bone fractures, where early detection is critical. An unexpected yet significant finding was an increase in patient satisfaction in the intervention group (88%) compared to the control group (65%) (p < 0.01), attributed to reduced waiting times and the convenience of receiving diagnostic services locally. The overarching trend identified was the direct correlation between the availability of portable radiography technology, accelerated clinical decision-making, and enhanced quality of primary healthcare services in rural areas. In conclusion, this study posits that portable radiography innovation is a highly effective intervention for improving diagnostic accuracy and patient workflow efficiency in the rural health centers of North Sumatra, aligning with the proposed hypotheses. The theoretical contribution lies in the empirical validation of Diffusion of Innovations theory within the context of medical technology adoption in remote areas, alongside an emphasis on the importance of Evidence-Based Practice in optimizing primary healthcare. Practically, these findings provide a strong basis for governmental and policy-making bodies to allocate further resources towards the provision and maintenance of portable radiography units across all rural health centers, potentially reducing morbidity and mortality rates due to delayed diagnoses. Key recommendations include developing ongoing training programs for medical and radiological technicians in these centers, and conducting further research on long-term sustainability, technology maintenance aspects, and in-depth cost-effectiveness analyses across diverse geographical and socio-economic contexts in Indonesia.