Evidence map›Paper›PMID 29558925›Full record

ArticleBMC health services research2018

Waiting times in primary care depending on insurance scheme in Germany.

Andres Luque Ramos, Falk Hoffmann, Ove Spreckelsen

Abstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. "Sexual and reproductive health matters · 2025
    Article
  3. Social and health determinants of wait times for primary care in Canada.Canadian family physician Medecin de famille canadien · 2025
    Article
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  14. Observational
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  18. Waiting Time as an Indicator for Health Services Under Strain: A Narrative Review.Inquiry : a journal of medical care organization, provision and financing
    Review
  19. 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.

Andres Luque RamosDepartment of Health Services Research, Carl von Ossietzky University, Ammerländer Heerstrasse 140, 26111, Oldenburg, Germany. andres.luque.ramos@uni-oldenburg.de.ORCID 0000-0002-5625-649X
Falk HoffmannDepartment of Health Services Research, Carl von Ossietzky University, Ammerländer Heerstrasse 140, 26111, Oldenburg, Germany.
Ove SpreckelsenDepartment of Health Services Research, Carl von Ossietzky University, Ammerländer Heerstrasse 140, 26111, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWaiting times for an outpatient appointment in Germany differ between insurants of the statutory and private health insurance schemes, especially for specialised care. The aim of this study was to uncover possible differences in waiting times depending on health insurance scheme and to identify predictors for excessive waiting times in primary care.

methodsWe used data of the Bertelsmann Foundation Healthcare Monitor, which is a repeated cross sectional study dealing with experiences in health care and attitudes towards current health policy themes. We analysed the surveys conducted from 2011 to 2013, with respondents assigned to their health insurance fund, namely AOK, BARMER GEK, BKK, DAK, TK, IKK, other statutory funds and private funds. The mean waiting times for an appointment and spent in a physician's waiting room, and the satisfaction with waiting times were evaluated with respect to different health insurance funds. A logistic regression model was used to calculate the chance of excessive waiting times with respect to health insurance fund, age, sex, health and socioeconomic status. The ninetieth percentile of the waiting time distribution (10 days) was chosen as the cut-off point between average and excessive.

resultsA total of 5618 respondents were analysed. Mean waiting times in primary care were low (4.0 days) and homogeneous (SHIs: 3.6-4.9 days), even though privately insured respondents reported shorter waiting times for appointments (3.3 days). They also reported a greater satisfaction with waiting times (77.5%) than SHI insurants (64.5%). However, we identified a group (10.1%), who experienced excessive waiting times in primary care. Compared to privately insured respondents, the chance of excessive waiting times was increased for SHI insurants (highest odds ratio for BKK: 2.17; 95%-CI: 1.38-3.42). Additionally, higher age and residence in East Germany were associated with higher chances of waiting times of 10 days or more.

conclusionsPrimary care in Germany is readily accessible with generally short waiting times. However, barriers in access to the health care system affect a certain part of patients depending on insurance status, age and region of residence. Ways to improve the access need to be studied.

Indexed as

Health Services AccessibilityPrimary Health CareWaiting ListsCross-Sectional StudiesFemaleGermanyHumansInsurance, HealthMaleMiddle AgedTime FactorsPrivate health insuranceSocial inequalityStatutory health insuranceWaiting times

Identifiers

PMID29558925
PMCPMC5859448

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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.