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Electronic health record-integrated approach for collection of patient-reported outcome measures: a retrospective evaluation.
Horn, Maggie E; Reinke, Emily K; Mather, Richard C; O'Donnell, Jonathan D; George, Steven Z.
Afiliação
  • Horn ME; Division of Physical Therapy, Department of Orthopaedic Surgery, Duke University, 311 Trent Drive, Durham, NC, 27710, USA. maggie.horn@duke.edu.
  • Reinke EK; Division of Sports Medicine, Department of Orthopaedic Surgery, Duke University, 3475 Erwin Rd, Durham, NC, 27705, USA.
  • Mather RC; Division of Sports Medicine, Department of Orthopaedic Surgery, Duke University, 3475 Erwin Rd, Durham, NC, 27705, USA.
  • O'Donnell JD; Duke-Margolis Center for Health Policy, Duke University School of Medicine, Durham, NC, USA.
  • George SZ; Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, 27001, USA.
BMC Health Serv Res ; 21(1): 626, 2021 Jun 30.
Article em En | MEDLINE | ID: mdl-34193125
ABSTRACT

BACKGROUND:

The integration of Patient Reported Outcome Measures (PROMs) into clinical care presents many challenges for health systems. PROMs provide quantitative data regarding patient-reported health status. However, the most effective model for collecting PROMs has not been established. Therefore the purpose of this study is to report the development and preliminary evaluation of the standardized collection of PROMs within a department of orthopedic surgery at a large academic health center.

METHODS:

We utilized the Users' Guide to Integrating Patient-Reported Outcomes in Electronic Health Records by Gensheimer et al., 2018 as a framework to describe the development of PROMs collection initiative. We framed our initiative by operationalizing the three aspects of PROM collection development Planning, Selection, and Engagement. Next, we performed a preliminary evaluation of our initiative by assessing the response rate of patients completing PROMs (no. of PROMs completed/no. of PROMs administered) across the entire department (18 clinics), ambulatory clinics only (14 clinics), and hospital-based clinics only (4 clinics). Lastly, we reported on the mean response rates for the top 5 and bottom 5 orthopaedic providers to describe the variability across providers.

RESULTS:

We described the development of a fully-integrated, population health based implementation strategy leveraging the existing resources of our local EHR to maximize clinical utility of PROMs and routine collection. We collected a large volume of PROMs over a 13 month period (n = 10,951) across 18 clinical sites, 7 clinical specialties and over 100 providers. The response rates varied across the department, ranging from 29 to 42%, depending on active status for the portal to the electronic health record (MyChart). The highest single provider mean response rate was 52%, and the lowest provider rate was 13%. Rates were similar between hospital-based (26%) and ambulatory clinics (29%).

CONCLUSIONS:

We found that our standardized PROMs collection initiative, informed by Gensheimer et al., achieved scope and scale, but faced challenges in achieving a high response rate commensurate with existing literature. However, most studies reported a targeted recruitment strategy within a narrow clinical population. Further research is needed to elucidate the trade-off between scalability and response rates in PROM collection initiatives.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Registros Eletrônicos de Saúde Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Registros Eletrônicos de Saúde Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article