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dc.contributor.authorExternal author(s) only
dc.date.accessioned2020-07-29T08:14:03Z
dc.date.available2020-07-29T08:14:03Z
dc.date.issued2020-07
dc.identifier.citationPotter & On behalf of the ISAngela M. Stover, Lotte Haverman, Hedy A. van Oers, Joanne Greenhalgh,Caroline M. OQOL PROMs/PREMs in Clinical Practice Implementation Science Work Group. Using an implementation science approach to implement and evaluate patient-reported outcome measures (PROM) initiatives in routine care settings. Quality of Life Research(2020)en
dc.identifier.issn1573-2649
dc.identifier.urihttps://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/576
dc.descriptionOpen Accessen
dc.description.abstractPurpose Patient-reported outcome and experience measures (PROMs/PREMs) are well established in research for many health conditions, but barriers persist for implementing them in routine care. Implementation science (IS) offers a potential way forward, but its application has been limited for PROMs/PREMs. Methods We compare similarities and differences for widely used IS frameworks and their applicability for implementing PROMs/PREMs through case studies. Three case studies implemented PROMs: (1) pain clinics in Canada; (2) oncology clinics in Australia; and (3) pediatric/adult clinics for chronic conditions in the Netherlands. The fourth case study is planning PREMs implementation in Canadian primary care clinics. We compare case studies on barriers, enablers, implementation strategies, and evaluation. Results Case studies used IS frameworks to systematize barriers, to develop implementation strategies for clinics, and to evaluate implementation effectiveness. Across case studies, consistent PROM/PREM implementation barriers were technology, uncertainty about how or why to use PROMs/PREMs, and competing demands from established clinical workflows. Enabling factors in clinics were context specific. Implementation support strategies changed during pre-implementation, implementation, and post-implementation stages. Evaluation approaches were inconsistent across case studies, and thus, we present example evaluation metrics specific to PROMs/PREMs. Conclusion Multilevel IS frameworks are necessary for PROM/PREM implementation given the complexity. In cross-study comparisons, barriers to PROM/PREM implementation were consistent across patient populations and care settings, but enablers were context specific, suggesting the need for tailored implementation strategies based on clinic resources. Theoretically guided studies are needed to clarify how, why, and in what circumstances IS principles lead to successful PROM/PREM integration and sustainability.en
dc.description.sponsorshipSupported by the NIHR Applied Research Collaboration for Oxford and the Thames Valley (ARC OTV)en
dc.description.urihttps://doi.org/10.1007/s11136-020-02564-9en
dc.language.isoenen
dc.subjectPatient-reported Outcome Measures (PROMS)en
dc.titleUsing an implementation science approach to implement and evaluate patient-reported outcome measures (PROM) initiatives in routine care settingsen
dc.typeArticleen


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