Evidence map›Paper›PMID 28376464›Full record

ArticleAnnals of family medicine2017

Measuring Outcomes: Lessons From the World of Public Education.

Andrew Saultz, John W Saultz

Abstract read
In one paragraph

Article in Annals of family medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Andrew SaultzDepartment of Educational Leadership, Miami University, Oxford, Ohio.
John W SaultzDepartment of Family Medicine, Oregon Health & Science University, Portland, Oregon saultz@ohsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality and efficiency of American health care are increasingly measured using clinical and financial data with a goal of improving clinical practice. Proponents believe such efforts can improve outcomes, motivate clinicians, and inform the public about quality. Detractors point to problems with the accuracy of these measures and the risk of creating perverse incentives for both physicians and patients. Drawing on lessons from similar performance management policies in public education, we provide guidance about this trend for primary care physicians and health care policy makers. We argue that public school teacher evaluations that use value-added modeling foretell specific pitfalls for the use of similar models to evaluate physician effectiveness, and that unintended consequences of performance management in both education and health care can include the narrowing of purpose, deprofessionalization, and a loss of local/community control.

Indexed as

Administrative PersonnelDelivery of Health CareHealth EducationHumansOutcome Assessment, Health CarePhysicians, Primary CareReimbursement, IncentiveSchoolsSchool TeachersUnited StatesWork Performancehealth policymetricsoutcomes measurementperformance managementquality of health carereference standards

Identifiers

PMID28376464
PMCPMC5217847

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.