Evidence map›Paper›PMID 20070386›Full record

ArticleHealth services research2010

Employed family physician satisfaction and commitment to their practice, work group, and health care organization.

Ben-Tzion Karsh, John W Beasley, Roger L Brown

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 33 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

3 authors at 1 institution in 1 country.

Ben-Tzion KarshDepartment of Industrial & Systems Engineering, University of Wisconsin, 1513 University Avenue, Room 3218, Madison, WI 53706, USA. bkarsh@engr.wisc.edu
John W Beasley
Roger L Brown
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTest a model of family physician job satisfaction and commitment. DATA SOURCES/STUDY

settingData were collected from 1,482 family physicians in a Midwest state during 2000-2001. The sampling frame came from the membership listing of the state's family physician association, and the analyzed dataset included family physicians employed by large multispecialty group practices. STUDY DESIGN AND DATA COLLECTION: A cross-sectional survey was used to collect data about physician working conditions, job satisfaction, commitment, and demographic variables. PRINCIPAL

findingsThe response rate was 47 percent. Different variables predicted the different measures of satisfaction and commitment. Satisfaction with one's health care organization (HCO) was most strongly predicted by the degree to which physicians perceived that management valued and recognized them and by the extent to which physicians perceived the organization's goals to be compatible with their own. Satisfaction with one's workgroup was most strongly predicted by the social relationship with members of the workgroup; satisfaction with one's practice was most strongly predicted by relationships with patients. Commitment to one's workgroup was predicted by relationships with one's workgroup. Commitment to one's HCO was predicted by relationships with management of the HCO.

conclusionsSocial relationships are stronger predictors of employed family physician satisfaction and commitment than staff support, job control, income, or time pressure.

Indexed as

EmploymentHealth Maintenance OrganizationsJob SatisfactionPersonnel LoyaltyAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPhysicians, FamilyWisconsin

Identifiers

PMID20070386
PMCPMC2838155
OpenAlexW2170353732

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.