Human factors/ergonomics work system analysis of patient work: state of the science and future directions.

PURPOSE: To demonstrate the use and value of the Human Factors/Ergonomics-based Systems Engineering Initiative for Patient Safety (SEIPS) family of work system models for studying and improving patient work. DATA SOURCES: We conducted a review of the published empirical literature applying the SEIPS family of work system models for patient work. STUDY SELECTION: Included studies had to apply one of the SEIPS family of work system models to study patient work; be published in a peer-reviewed journal in English and include analysis of data. We identified 16 articles that met our inclusion criteria. DATA EXTRACTION: For each study, we extracted settings and situations in which models were applied; research design; study methods; model(s) used; type and number of study participants; study objective(s); whether the study included an intervention; specific aspects of the model used; knowledge generated about patient work and benefits of using the models. RESULTS OF DATA SYNTHESIS: Our analysis revealed that a majority of studies were conducted in the United States, used qualitative or mixed methods and employed a variety of data collection techniques to study adult patient populations with chronic illness and their informal caregivers and healthcare providers performing patient work in the home and clinical setting. The studies resulted in a variety of useful products, demonstrating several benefits of using the models. CONCLUSION: Our review has demonstrated the value of using the SEIPS family of work systems models to study and improve patient and family contributions to health-related work.

Codesign and Usability Testing of a Mobile Application to Support Family-Delivered Enteral Tube Care.

BACKGROUND: Enteral tubes are prevalent among children with medical complexity (CMC), and complications can lead to costly health care use. Our objective was to design and test the usability of a mobile application (app) to support family-delivered enteral tube care. METHODS: Human-centered design methods (affinity diagramming, persona development, and software development) were applied with family caregivers of CMC to develop a prototype. During 3 waves of usability testing with design refinement between waves, screen capture software collected user-app interactions and inductive content analysis of narrative feedback identified areas for design improvement. The National Aeronautics and Space Administration Task Load Index and the System Usability Scale quantified mental workload and ease of use. RESULTS: Design participants identified core app functions, including displaying care routines, reminders, tracking inventory and health data, caregiver communication, and troubleshooting. Usability testing participants were 80% non-Hispanic white, 28% lived in rural settings, and 20% had not completed high school. Median years providing enteral care was 2 (range 1-14). Design iterations improved app function, simplification, and user experience. The mean System Usability Scale score was 76, indicating above-average usability. National Aeronautics and Space Administration Task Load Index revealed low mental demand, frustration, and effort. All 14 participants reported that they would recommend the app, and that the app would help with organization, communication, and caregiver transitions. CONCLUSIONS: Using a human-centered codesign process, we created a highly usable mobile application to support enteral tube caregiving at home. Future work involves evaluating the feasibility of longitudinal use and effectiveness in improving self-efficacy and reduce device complications.