Evidence map›Paper›PMID 28289109›Full record

ArticleAnnals of family medicine2017

Minding the Gap: Factors Associated With Primary Care Coordination of Adults in 11 Countries.

Jonathan Penm, Neil J MacKinnon, Stephen M Strakowski, Jun Ying, Michelle M Doty

Open access · diamondAbstract readComparative Study
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 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. The impact of remote care approaches on continuity in primary care: a mixed-studies systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  14. Organization of primary care.Primary health care research & development · 2022
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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

5 authors at 3 institutions in 2 countries.

Jonathan PenmJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio jonathan.penm@sydney.edu.au.
Neil J MacKinnonJames L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio.
Stephen M StrakowskiDell Medical School, University of Texas, Austin, Texas.
Jun YingCollege of Medicine, University of Cincinnati, Cincinnati, Ohio.
Michelle M DotyThe Commonwealth Fund, New York, New York.
University of Cincinnati Medical Center · USCommonwealth Fund · USThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCare coordination has been identified as a key strategy in improving the effectiveness, safety, and efficiency of the US health care system. Our objective was to determine whether population or health care system issues are associated with primary care coordination gaps in the United States and other high-income countries.

methodsWe analyzed data from the 2013 Commonwealth Fund International Health Policy (IHP) survey with multivariate logistic regression analysis. Respondents were adult primary care patients from 11 countries: Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, United Kingdom, and the United States. Poor primary care coordination was defined as participants reporting at least 3 gaps in the coordination of care out of a maximum of 5.

resultsAnalyses were based on 13,958 respondents. The rate of poor primary care coordination was 5.2% (724/13,958 respondents) overall and highest in the United States, at 9.8% (137/1,395 respondents). Multivariate regression analysis among all respondents found that they were less likely to experience poor primary care coordination if their primary care physician often or always knew their medical history, spent sufficient time, involved them, and explained things well (odds ratio = 0.6 for each). Poor primary care coordination was more likely to occur among patients with chronic conditions (odds ratios = 1.4-2.1 depending on number) and patients younger than 65 years (odds ratios = 1.6-2.3 depending on age-group). Among US respondents, insurance status, health status, household income, and sex were not associated with poor primary care coordination.

conclusionsThe United States had the highest rate of poor primary care coordination among the 11 high-income countries evaluated. An established relationship with a primary care physician was significantly associated with better care coordination, whereas being chronically ill or younger was associated with poorer care coordination.

Indexed as

Physician-Patient RelationsAdultAgedAged, 80 and overAustralasiaCanadaContinuity of Patient CareDeveloped CountriesEuropeFemaleHealth Services AccessibilityHealth StatusHumansInsurance, HealthLogistic ModelsMalecontinuity of patient carecoordination of careinternationalpatient experienceprimary health caresurveys and questionnaires

Identifiers

PMID28289109
PMCPMC5348227
OpenAlexW2595770798

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.