Evidence map›Paper›PMID 36925785›Full record

ArticleFrontiers in health services2022

General Practitioner Time Availability Per Inhabitant Per Year: A New Indicator to Measure Access to Primary Care.

Laura Beer, Christine Cohidon, Nicolas Senn

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Article in Frontiers in health services, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Laura BeerDepartment of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Christine CohidonDepartment of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Nicolas SennDepartment of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The number of general practitioners (GPs) per inhabitant, used commonly as an indicator of primary care (PC) access, reports only imprecisely on the true availability of GPs. The aim of this study is to develop a new PC access indicator that better reflects the availability of GPs to take care of patients at the population level, the average GP time availability per inhabitant per year. Methods: We extracted the data from the Commonwealth Fund International Health Policy Survey of Primary Care Physicians conducted in 2015, including 11 Western countries and 12,049 randomly drawn GPs. We built the indicator by combining two questions about weekly workload in hours and percentage of time spent on face-to-face contact with patients. The indicator was then adjusted regarding the number of GPs, the weeks worked per year and the country's population size. Results: On average, GPs worked 43 h a week. The average time spent on face-to-face contact with patients was 30.5 h/week (35 h including emails and telephone contact), ranging from 22 h in Sweden and 38 h in France. The mean time available of GPs for face-to-face contact was 69 min/inhabitant/year, ranging from 38 min in Sweden to 118 min in Australia. Including email and telephone contact, the mean contact time rose to 79 min/inhabitant/year, ranging from 48 min in Sweden to 127 min in Australia. Conclusion: The new indicator provides an accurate and sensitive estimate of a GP's true time availability at the population level. Results should be interpreted in the context of PC workforce organization, which may help guide GP workforce development.

Indexed as

accessavailabilitygeneral practiceprimary careshortage

Identifiers

PMID36925785
PMCPMC10012817

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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.