Evidence map›Paper›PMID 28900821›Full record

ArticleJournal of general internal medicine2017

Reliability of Physician-Level Measures of Patient Experience in Primary Care.

Joshua J Fenton, Anthony Jerant, Richard L Kravitz, Klea D Bertakis, Daniel J Tancredi, Elizabeth M Magnan, Peter Franks

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Joshua J FentonDepartment of Family and Community Medicine, University of California, Davis Medical Center, Sacramento, CA, USA. jjfenton@ucdavis.edu.
Anthony JerantDepartment of Family and Community Medicine, University of California, Davis Medical Center, Sacramento, CA, USA.
Richard L KravitzThe Center for Healthcare Policy and Research, University of California, Davis Medical Center, Sacramento, CA, USA.
Klea D BertakisDepartment of Family and Community Medicine, University of California, Davis Medical Center, Sacramento, CA, USA.
Daniel J TancrediThe Center for Healthcare Policy and Research, University of California, Davis Medical Center, Sacramento, CA, USA.
Elizabeth M MagnanDepartment of Family and Community Medicine, University of California, Davis Medical Center, Sacramento, CA, USA.
Peter FranksDepartment of Family and Community Medicine, University of California, Davis Medical Center, Sacramento, CA, USA.
University of California Davis Medical Center · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
NCATS NIH HHS KL2 TR001859NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

backgroundPatient experience measures are widely used to compare performance at the individual physician level.

objectiveTo assess the impact of unmeasured patient characteristics on visit-level patient experience measures and the sample sizes required to reliably measure patient experience at the primary care physician (PCP) level.

designRepeated cross-sectional design.

settingAcademic family medicine practice in California.

participantsOne thousand one hundred forty-one adult patients attending 1319 visits with 56 PCPs (including 45 resident and 11 faculty physicians). MEASUREMENTS: Post-visit patient experience surveys including patient measures used for standard adjustment as recommend by the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Consortium and additional patient characteristics used for expanded adjustment (including attitudes toward healthcare, global life satisfaction, patient personality, current symptom bother, and marital status).

resultsThe amount of variance in patient experience explained doubled with expanded adjustment for patient characteristics compared with standard adjustment (R

conclusionsWidely used methods for measuring PCP-level patient experience may not account sufficiently for influential patient characteristics. If methods were adapted to account for these characteristics, patient sample sizes for reliable between-physician comparisons may be too large for most practices to obtain.

Indexed as

Patient Reported Outcome MeasuresPatient SatisfactionPhysician-Patient RelationsAdultCaliforniaConfounding Factors, EpidemiologicCross-Sectional StudiesFemaleHealth Services ResearchHumansMaleMiddle AgedPatientsPrimary Health CareQuality Indicators, Health CareReproducibility of Results

Identifiers

PMID28900821
PMCPMC5698229
OpenAlexW2755221716

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.