Evidence map›Paper›PMID 24044374›Full record

ArticleBMC family practice2013

Morbidity and doctor characteristics only partly explain the substantial healthcare expenditures of frequent attenders: a record linkage study between patient data and reimbursements data.

Frans T Smits, Henk J Brouwer, Aeilko H Zwinderman, Jacob Mohrs, Hugo M Smeets, Judith E Bosmans, Aart H Schene, Henk C Van Weert, Gerben ter Riet

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Article in BMC family practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

9 authors.

Frans T SmitsDepartment of General Practice - Academic Medical Center, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands. f.t.smits@amc.uva.nl.
Henk J Brouwer
Aeilko H Zwinderman
Jacob Mohrs
Hugo M Smeets
Judith E Bosmans
Aart H Schene
Henk C Van Weert
Gerben ter Riet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrequently attending patients to primary care (FA) are likely to cost more in primary care than their non-frequently attending counterparts. But how much is spent on specialist care of FAs? We describe the healthcare expenditures of frequently attending patients during 1, 2 or 3 years and test the hypothesis that additional costs can be explained by FAs' combined morbidity and primary care physicians' characteristics.

methodsRecord linkage study. Pseudonymised clinical data from the medical records of 16 531 patients from 39 general practices were linked to healthcare insurer's reimbursements data. Main outcome measures were all reimbursed primary and specialist healthcare costs between 2007 and 2009. Multilevel linear regression analysis was used to quantify the effects of the different durations of frequent attendance on three-year total healthcare expenditures in primary and specialist care, while adjusting for age, sex, morbidities and for primary care physicians characteristics. Primary care physicians' characteristics were collected through administrative data and a questionnaire.

resultsUnadjusted mean 3-year expenditures were 5044 and 15 824 Euros for non-FAs and three-year-FAs, respectively. After adjustment for all other included confounders, costs both in primary and specialist care remained substantially higher and increased with longer duration of frequent attendance. As compared to non-FAs, adjusted mean expenditures were 1723 and 5293 Euros higher for one-year and three-year FAs, respectively.

conclusionsFAs of primary care give rise to substantial costs not only in primary, but also in specialist care that cannot be explained by their multimorbidity. Primary care physicians' working styles appear not to explain these excess costs. The mechanisms behind this excess expenditure remain to be elucidated.

Indexed as

ComorbidityAdolescentAdultAgedCohort StudiesFemaleHealth Care CostsHealth ExpendituresHumansLinear ModelsMaleMiddle AgedMultilevel AnalysisMultivariate AnalysisNetherlandsPhysicians, Primary Care

Identifiers

PMID24044374
PMCPMC3851974

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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.