Improving the design of California’s prescription drug monitoring program
| Autor: | Ariana M. Nelson, Kai Zheng, Mustafa I Hussain, Gregory Polston |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Controlled substance Medical education Decision support system business.industry 030106 microbiology Usability inspection Health Informatics Context (language use) Usability Information needs Research and Applications 03 medical and health sciences 0302 clinical medicine Workflow business Psychology Design methods 030217 neurology & neurosurgery |
| Popis: | Objective The US CDC identified prescription drug monitoring programs (PDMPs) as a tool to address the contemporary opioid crisis, but few studies have investigated PDMP usability and effectiveness from the users’ perspective. Even fewer have considered how practices differ across medical domains. In this study, we aimed to address these gaps, soliciting perspectives on PDMPs from providers contending with the opioid crisis: physicians working in emergency departments (EDs) and pain management clinics. We aimed to provide practical design recommendations to improve PDMP workflow integration, as well as controlled substance history retrieval, interpretation, and decision support. Methods We conducted 16 in-depth semi-structured interviews with practicing emergency and pain physicians regarding their procedures, problems, and proposed solutions surrounding their use of CURES, California’s PDMP. We investigated design problems in CURES by combining users’ feedback with our usability inspection, drawing upon an extensive body of design literature. Then, we generated alternatives using design methods. Results We found CURES’s design did not accommodate the unique information needs of different medical domains. Further, clinicians had trouble accessing CURES and retrieving patients’ controlled substance histories, mainly due to usability problems that could be addressed with little technical adjustment. Additionally, CURES rendered patient histories in large, cluttered tables, devoid of overview or context, making interpretation difficult and precarious. Lastly, our interviewees had rarely noticed or used advanced features, such as decision support. Discussion and Conclusion Usability barriers inhibited adoption and effective use. We provide practical recommendations for improving opioid control by way of improving PDMP design, based on interviewees’ suggestions and research-based design principles. Our findings have implications for other disciplines, including surgery and primary care. |
| Databáze: | OpenAIRE |
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