BACKGROUND: The Philippine government aims for a modern information system to enhance data quality and provide more rational evidence to support timely and efficient delivery of health care, management of health systems, programs and policy. Hence, the Real-time Regular Routine Reporting for Health (R4Health) mHealth application was developed and field tested in 246 isolated and disadvantaged municipalities to support the campaign for Universal Health Care and the achievement of the Millennium Development Goals. The R4Health collected point-of-care-specific data on services routinely provided at the rural health facilities, aggregated them and presented in a dashboard for use by program managers and policy makers.

OBJECTIVE: This paper describes the use of R4Health, a mobile technology-based health reporting system. It will discuss the context of the R4Health implementation, its development and deployment to 246 municipalities in the Philippines. Furthermore, the paper sought to determine enablers and challenges to the adoption of R4Health in routine health care.

METHODS: Data was collected through surveys, focus group discussions, participant-observation and review of project reports. Quantitative data was summarized using descriptive statistical methods; qualitative data underwent content analysis. 

 

RESULTS AND CONCLUSION: A total of 515,855 R4Health reports equivalent to 48,856 patient transactions were received from 246 municipalities within a nine-month observation period, supporting the viability of the R4Health as an alternative option to the existing manual and paper based health information management to improve the quality of data. R4Health utilizes a tool that everyone is familiar with, can easily be incorporated in their workflow, can be brought and used anywhere and has an application that is clear, understandable, and easy to learn and use. R4Health data elements, however, have overlaps with other government health reporting systems and is already misconstrued to further duplicate work. More discussions are warranted to coordinate and integrate systems. Given the general positive perspectives, integration of this alternative system to the RHU workflow, an improved R4Health, has a high potential of being accepted and adopted by the first-line health workers across the country. 

Human ; Data Accuracy ; Point-of-care Systems ; Vulnerable Populations ; Delivery Of Health Care ; Health Personnel ; Telemedicine ; Health Information Management ; Health Facilities