Evidence map›Paper›PMID 36739374›Full record

ArticleBMC primary care2023

Consultation frequency and general practitioners' and practices' characteristics.

Laura Baudier, Nicolas Senn, Pascal Wild, Christine Cohidon

Abstract read
In one paragraph

Article in BMC primary care, 2023. 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.

  1. Observational
  2. Article
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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

4 authors.

Laura BaudierCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland. laura.baudier@unil.ch.
Nicolas SennCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Pascal WildPW Consulting, Laxou, France.
Christine CohidonCenter for 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

backgroundHigh workloads generated by a few patients who consult very frequently can become huge burdens for general practitioners (GPs). Patient-related factors have been repeatedly associated with frequent consultations, but there is evidence that GPs can also influence that frequency. We investigated how patients, GPs and their practices' organisational characteristics were associated with consultation frequency.

methodsData came from the SPAM Prev (Swiss Primary Health Care Active Monitoring, Prevention in primary care) national, cross-sectional survey conducted in 2015-16, including 167 GPs and 1105 patients. GPs completed an online questionnaire focused on practice organisation. Patients randomly recruited in general practices completed a questionnaire with fieldworkers. Factors predicting consultation frequency were investigated using multilevel Poisson regression models.

resultsNegative associations with consultation frequency were found for females (Incidence Rate Ratio (IRR) 0.94, 95%CI [0.88-1.01]), less compliant patients (IRR 0.91, 95%CI [0.84-0.98]), high self-perceived health status (IRR 0.8, 95%CI [0.75-0.84]) and physical exercise (IRR 0.87, 95%CI [0.81-0.94]). Consultation frequencies were higher among patients with sleeping problems (IRR 1.08, 95%CI [0.96-1.23]), psychological distress (IRR 1.66, 95%CI [1.49-1.86]), chronic diseases (IRR 1.27, 95%CI [1.18-1.37]) and treatment with medication (IRR 1.24, 95%CI [1.12-1.37]). Positive associations with consultation frequency were found among GPs working longer hours (IRR 1.21, 95%CI [1.01-1.46]). Using shared medical records (IRR 0.79, 95%CI [0.67-0.92]) were negatively associated with consultation frequency.

conclusionGPs' practices' characteristics, like patients', are predictive of patients' consultation frequency, but those associations' underlying mechanisms require further qualitative investigation. These new findings could help optimise intervention strategies and reduce healthcare costs.

Indexed as

General PracticeGeneral PractitionersCross-Sectional StudiesFemaleHumansReferral and ConsultationSurveys and QuestionnairesConsultation frequencyGeneral practitionerPatients characteristicsPractice characteristics

Identifiers

PMID36739374
PMCPMC9898930

What OpenQuestion holds

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Registered trials

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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.