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Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System

IMPORTANCE: The collection of patient-reported outcomes (PROs) has garnered intense interest, but dissemination of PRO programs has been limited, as have analyses of the factors associated with successful programs. OBJECTIVE: To identify factors associated with improving PRO collection rates within...

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Autores principales: Sisodia, Rachel C., Dankers, Christian, Orav, John, Joseph, Bernard, Meyers, Peter, Wright, Patrick, St. Amand, David, del Carmen, Marcela, Ferris, Tim, Heng, Marilyn, Licurse, Adam, Meyer, Gregg, Sequist, Thomas D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156989/
https://www.ncbi.nlm.nih.gov/pubmed/32286657
http://dx.doi.org/10.1001/jamanetworkopen.2020.2764
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author Sisodia, Rachel C.
Dankers, Christian
Orav, John
Joseph, Bernard
Meyers, Peter
Wright, Patrick
St. Amand, David
del Carmen, Marcela
Ferris, Tim
Heng, Marilyn
Licurse, Adam
Meyer, Gregg
Sequist, Thomas D.
author_facet Sisodia, Rachel C.
Dankers, Christian
Orav, John
Joseph, Bernard
Meyers, Peter
Wright, Patrick
St. Amand, David
del Carmen, Marcela
Ferris, Tim
Heng, Marilyn
Licurse, Adam
Meyer, Gregg
Sequist, Thomas D.
author_sort Sisodia, Rachel C.
collection PubMed
description IMPORTANCE: The collection of patient-reported outcomes (PROs) has garnered intense interest, but dissemination of PRO programs has been limited, as have analyses of the factors associated with successful programs. OBJECTIVE: To identify factors associated with improving PRO collection rates within a large health care system using a centralized PRO infrastructure. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 205 medical and surgical clinics in the Partners Healthcare system in Massachusetts that implemented a PRO program between March 15, 2014, and December 31, 2018, using a standardized centralized infrastructure. Data were analyzed from March to April 2019. EXPOSURES: Relevant clinical characteristics were recorded for each clinic launching a PRO program. MAIN OUTCOMES AND MEASURES: The primary outcome was the mean PRO collection rate during each clinic’s most recent 6 months of collection prior to January 2019. Data were analyzed using a linear regression model with the 6-month PRO collection rate as the dependent variable and clinic characteristics as independent variables. Secondary analysis used a logistic regression model to assess clinical factors associated with successful clinics, defined as those that collected PROs at a rate greater than 50%. RESULTS: Between March 2014 and December 2018, 205 Partners Healthcare clinics were available for analysis, and 4 061 205 PRO measures from 745 028 encounters were collected. Among these, 103 clinics (50.2%) collected at a rate greater than 50%. Increased collection rates were associated with more than 50% of physicians in a clinic trained on PROs (change, 19.6% [95% CI, 9.9%-29.4%]; P < .001), routine administrative oversight of collection rates (change, 16.0% [95% CI, 6.6%-25.5%]; P = .001), previous collection of PROs on paper (change, 12.5% [95% CI, 4.7%-20.3%]; P = .002), presence of a clinical champion (change, 11.2% [95% CI, 2.5%-20.0%]; P = .01) and payer incentive (change, 10.5% [95% CI, 2.0%-18.9%]; P = .02). CONCLUSIONS AND RELEVANCE: These findings suggest that training physicians on the use of PROs, administrative surveillance of collection rates, and the presence of a local clinical champion may be promising interventions for increasing PRO collection. Clinics that have previously collected PROs may have greater success in increasing collections. Payer incentive for collection was associated with improved collections, but not associated with successful programs.
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spelling pubmed-71569892020-04-23 Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System Sisodia, Rachel C. Dankers, Christian Orav, John Joseph, Bernard Meyers, Peter Wright, Patrick St. Amand, David del Carmen, Marcela Ferris, Tim Heng, Marilyn Licurse, Adam Meyer, Gregg Sequist, Thomas D. JAMA Netw Open Original Investigation IMPORTANCE: The collection of patient-reported outcomes (PROs) has garnered intense interest, but dissemination of PRO programs has been limited, as have analyses of the factors associated with successful programs. OBJECTIVE: To identify factors associated with improving PRO collection rates within a large health care system using a centralized PRO infrastructure. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 205 medical and surgical clinics in the Partners Healthcare system in Massachusetts that implemented a PRO program between March 15, 2014, and December 31, 2018, using a standardized centralized infrastructure. Data were analyzed from March to April 2019. EXPOSURES: Relevant clinical characteristics were recorded for each clinic launching a PRO program. MAIN OUTCOMES AND MEASURES: The primary outcome was the mean PRO collection rate during each clinic’s most recent 6 months of collection prior to January 2019. Data were analyzed using a linear regression model with the 6-month PRO collection rate as the dependent variable and clinic characteristics as independent variables. Secondary analysis used a logistic regression model to assess clinical factors associated with successful clinics, defined as those that collected PROs at a rate greater than 50%. RESULTS: Between March 2014 and December 2018, 205 Partners Healthcare clinics were available for analysis, and 4 061 205 PRO measures from 745 028 encounters were collected. Among these, 103 clinics (50.2%) collected at a rate greater than 50%. Increased collection rates were associated with more than 50% of physicians in a clinic trained on PROs (change, 19.6% [95% CI, 9.9%-29.4%]; P < .001), routine administrative oversight of collection rates (change, 16.0% [95% CI, 6.6%-25.5%]; P = .001), previous collection of PROs on paper (change, 12.5% [95% CI, 4.7%-20.3%]; P = .002), presence of a clinical champion (change, 11.2% [95% CI, 2.5%-20.0%]; P = .01) and payer incentive (change, 10.5% [95% CI, 2.0%-18.9%]; P = .02). CONCLUSIONS AND RELEVANCE: These findings suggest that training physicians on the use of PROs, administrative surveillance of collection rates, and the presence of a local clinical champion may be promising interventions for increasing PRO collection. Clinics that have previously collected PROs may have greater success in increasing collections. Payer incentive for collection was associated with improved collections, but not associated with successful programs. American Medical Association 2020-04-14 /pmc/articles/PMC7156989/ /pubmed/32286657 http://dx.doi.org/10.1001/jamanetworkopen.2020.2764 Text en Copyright 2020 Sisodia RC et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Sisodia, Rachel C.
Dankers, Christian
Orav, John
Joseph, Bernard
Meyers, Peter
Wright, Patrick
St. Amand, David
del Carmen, Marcela
Ferris, Tim
Heng, Marilyn
Licurse, Adam
Meyer, Gregg
Sequist, Thomas D.
Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title_full Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title_fullStr Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title_full_unstemmed Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title_short Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System
title_sort factors associated with increased collection of patient-reported outcomes within a large health care system
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156989/
https://www.ncbi.nlm.nih.gov/pubmed/32286657
http://dx.doi.org/10.1001/jamanetworkopen.2020.2764
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