Evidence map›Paper›PMID 33234581›Full record

Observational studyCMAJ open

Calculating physician supply using a service day method and the income percentiles method: a descriptive analysis.

Terrence McDonald, Brendan Cord Lethebe, Lee A Green

Abstract readObservational Study
In one paragraph

Observational study in CMAJ open. 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. Article
  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

3 authors.

Terrence McDonaldDepartment of Family Medicine (McDonald), and Clinical Research Unit (Lethebe), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Medicine (Green), University of Alberta, Edmonton, Alta. Terrence.McDonald@ucalgary.ca.
Brendan Cord LethebeDepartment of Family Medicine (McDonald), and Clinical Research Unit (Lethebe), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Medicine (Green), University of Alberta, Edmonton, Alta.
Lee A GreenDepartment of Family Medicine (McDonald), and Clinical Research Unit (Lethebe), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Medicine (Green), University of Alberta, Edmonton, Alta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to have an accurate count of physicians and a measurable understanding of their service provision for physician resource planning. Our objective was to compare 2 methods (income percentiles [IP] and service day activities [SVD]) for calculating the supply of full-time (FT) and part-time (PT) primary care physicians (PCPs) as measures of both physician supply counts and level of provider continuity.

methodsUsing an observational study design, we compared 2 methods of calculating the supply of PT and FT PCPs for 2011-2015. For the IP approach, the Canadian Institute for Health Information's method was applied to Alberta Health billing data. The SVD method calculated annual service days for fee-for-service PCPs. A simple descriptive analysis was conducted of the supply of PT and FT PCPs.

resultsThe 2 methods agreed on the FT versus PT status of 85.2% of PCPs in 2015 but disagreed on the status of 490 PCPs. A total of 239 PCPs were classified as working FT by the IP method but PT by the SVD method. Two hundred and fifty-one PCPs were classified as working PT according by the IP method but FT by the SVD method. The former group of 239 PCPs worked fewer days per week (3.22 v. 4.1) and fewer weekend days per year (8.6 v. 24.1), billed more per year ($300 327 v. $201 834) and saw more patients per day (26.8 v. 17.8) with less continuity of care (38.0% v. 72.0%) than the latter group of 251 PCPs.

interpretationThe SVD method provides a valid alternative to calculating GP supply that distinguishes groups of physicians that the standard IP methodology does not. Those groups provide very different service; policy-makers may benefit from distinguishing them.

Indexed as

AlbertaFamily PracticeFee-for-Service PlansFemaleHealth Services Needs and DemandHealth WorkforceHumansIncomeInsurance Claim ReviewMalePhysicians, Primary Care

Identifiers

PMID33234581
PMCPMC7721248

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.