Real-time Feedback in Pay-for-Performance: Does More Information Lead to Improvement?


Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
09 2019
Historique:
received: 25 06 2018
accepted: 14 03 2019
revised: 08 11 2018
pubmed: 2 5 2019
medline: 11 11 2020
entrez: 2 5 2019
Statut: ppublish

Résumé

Pay-for-performance (P4P) has been used expansively to improve quality of care delivered by physicians. However, to what extent P4P works through the provision of information versus financial incentives is poorly understood. To determine whether an increase in information feedback without changes to financial incentives resulted in improved physician performance within an existing P4P program. Implementation of a new registry enabling real-time feedback to physicians on quality measure performance. Observational, predictive piecewise model at the physician-measure level to examine whether registry introduction associated with performance changes. We used detailed physician quality measure data 3 years prior to registry implementation (2010-2012) and 2 years after implementation (2014-2015). We also linked physician-level data including age, gender, and board certification; group-level data including registry click rates; and patient panel data including chronic conditions. Four hundred thirty-four physicians continuously affiliated with Advocate from 2010 to 2015. Physician performance on ten quality metrics. We found no consistent pattern of improvement associated with the availability of real-time information across ten measures. Relative to predicted performance without the registry, average performance increased for two measures (childhood immunization status-rotavirus (p < 0.001) and diabetes care-medical attention for nephropathy (p = 0.024)) and decreased for three measures (childhood immunization status-influenza (p < 0.001) and diabetes care-HbA1c testing (p < 0.001) and poor HbA1c control (p < 0.001)). Results were consistent for subgroup analysis on those most able to improve, i.e., physicians in the bottom tertile of performance prior to registry introduction. Physicians who improved most were in groups that accessed the registry more than those who improved least (8.0 vs 10.0 times per week, p = 0.010). More frequent provision of information, provided in real-time, was insufficient to improve physician performance in an existing P4P program with high baseline performance. Results suggest that electronic registries may not themselves drive performance improvement. Future work should consider testing information feedback enhancements with financial incentives.

Sections du résumé

BACKGROUND
Pay-for-performance (P4P) has been used expansively to improve quality of care delivered by physicians. However, to what extent P4P works through the provision of information versus financial incentives is poorly understood.
OBJECTIVE
To determine whether an increase in information feedback without changes to financial incentives resulted in improved physician performance within an existing P4P program.
INTERVENTION/EXPOSURE
Implementation of a new registry enabling real-time feedback to physicians on quality measure performance.
DESIGN
Observational, predictive piecewise model at the physician-measure level to examine whether registry introduction associated with performance changes. We used detailed physician quality measure data 3 years prior to registry implementation (2010-2012) and 2 years after implementation (2014-2015). We also linked physician-level data including age, gender, and board certification; group-level data including registry click rates; and patient panel data including chronic conditions.
PARTICIPANTS
Four hundred thirty-four physicians continuously affiliated with Advocate from 2010 to 2015.
MAIN MEASURES
Physician performance on ten quality metrics.
KEY RESULTS
We found no consistent pattern of improvement associated with the availability of real-time information across ten measures. Relative to predicted performance without the registry, average performance increased for two measures (childhood immunization status-rotavirus (p < 0.001) and diabetes care-medical attention for nephropathy (p = 0.024)) and decreased for three measures (childhood immunization status-influenza (p < 0.001) and diabetes care-HbA1c testing (p < 0.001) and poor HbA1c control (p < 0.001)). Results were consistent for subgroup analysis on those most able to improve, i.e., physicians in the bottom tertile of performance prior to registry introduction. Physicians who improved most were in groups that accessed the registry more than those who improved least (8.0 vs 10.0 times per week, p = 0.010).
CONCLUSIONS
More frequent provision of information, provided in real-time, was insufficient to improve physician performance in an existing P4P program with high baseline performance. Results suggest that electronic registries may not themselves drive performance improvement. Future work should consider testing information feedback enhancements with financial incentives.

Identifiants

pubmed: 31041590
doi: 10.1007/s11606-019-05004-8
pii: 10.1007/s11606-019-05004-8
pmc: PMC6712150
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1737-1743

Commentaires et corrections

Type : CommentIn

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Auteurs

Amelia M Bond (AM)

Health Care Management, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. amb2036@med.cornell.edu.
Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, USA. amb2036@med.cornell.edu.

Kevin G Volpp (KG)

Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Division of Health Policy, University of Pennsylvania, Philadelphia, PA, USA.

Ezekiel J Emanuel (EJ)

Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Division of Health Policy, University of Pennsylvania, Philadelphia, PA, USA.

Kristen Caldarella (K)

Division of Health Policy, University of Pennsylvania, Philadelphia, PA, USA.

Amanda Hodlofski (A)

HealthCore, Inc., Wilmington, DE, USA.

Lee Sacks (L)

Advocate Health System, Chicago, IL, USA.

Pankaj Patel (P)

Advocate Health System, Chicago, IL, USA.

Kara Sokol (K)

Advocate Health System, Chicago, IL, USA.

Salvatore Vittore (S)

Advocate Health System, Chicago, IL, USA.

Don Calgano (D)

Advocate Health System, Chicago, IL, USA.

Carrie Nelson (C)

Advocate Health System, Chicago, IL, USA.

Kevin Weng (K)

Advocate Health System, Chicago, IL, USA.

Andrea Troxel (A)

Department of Population Health, New York University School of Medicine, New York, NY, USA.

Amol Navathe (A)

Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Division of Health Policy, University of Pennsylvania, Philadelphia, PA, USA.

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