A Socio-technical systems approach to the use of Health IT for Patient Reported Outcomes: Patient and Healthcare Provider Perspectives

Abstract Background Patient-Reported Outcomes (PROs) can be used to inform the clinical management of individuals, including patient self-management, care planning, and goal setting. Despite a rapid proliferation of technology to collect and integrate PROs in clinical care, uptake by patients and healthcare providers remains sub optimal. A consideration of systems factors to understand these challenges is needed. Objectives To apply the socio-technical systems (STS) model as a framework for understanding the usability and functional requirements of patients collecting PRO data using applications (apps), and of healthcare providers using these data at the point of care in ambulatory settings. Methods With questions guided by the STS model, semi-structured interviews were conducted with eighteen patients and nine healthcare providers to elicit feedback about facilitators and barriers to successful use of PRO apps and PRO data in ambulatory settings. Patient participants were selected to fit into two categories: older, low utilizers of technology with less than a bachelor’s degree, and younger higher utilizers of technology with at least a bachelor’s degree. Participants were from primary and specialty care practices. Data were analyzed inductively to identify emergent themes. Results Younger patients were only interested in using a PRO app if they had an active health issue to track. The nine older patients preferred passive means of data collection if they were to track a health issue, and preferred direct contact with their healthcare provider and using office visits to share information. All patients desired optimal usability and emphasized bidirectional communication in an app that is transparent about privacy. All nine healthcare providers agreed that PRO data would be most useful and relevant if key patient populations were targeted based on the specific measure. In this case the healthcare providers noted potentially optimal utility of collecting physical function PRO data for patients 65 and older. Access to the data was highlighted by each healthcare provider stating that these data would be most useful if they were seamlessly integrated into the electronic health record. Discussion Several emergent themes were identified under the five selected dimensions of the STS model (clinical content, human computer interface, hardware and software computing infrastructure, people, and workflow and communication). Findings highlighted the continued need for innovative methods to obtain more rapid cycle, continuous feedback to identify system factors impacting use of these technologies. Conclusion The STS model provides a comprehensive framework that can be applied to collect patient and healthcare provider feedback to better guide the design and implementation of new health information technology.