Evidence map›Paper›PMID 24710075›Full record

ArticlePloS one2014

Self-report of healthcare utilization among community-dwelling older persons: a prospective cohort study.

Marlies T van Dalen, Jacqueline J Suijker, Janet MacNeil-Vroomen, Marjon van Rijn, Eric P Moll van Charante, Sophia E de Rooij, Bianca M Buurman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
14.8field-weighted citation impact, top 1% of its field
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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
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  6. Medical and nursing home costs: From cognitively unimpaired through dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
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  7. Observational
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  9. Identifying Patient Readmissions: Are Our Data Sources Misleading?Journal of the American Medical Directors Association · 2019
    Article
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  14. Assessment of the quality of fall detection and management in primary care in the Netherlands based on the ACOVE quality indicators.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    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

7 authors at 2 institutions in 1 country.

Marlies T van DalenDepartment of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Jacqueline J SuijkerDepartment of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Janet MacNeil-VroomenDepartment of Internal medicine, Geriatric section, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Marjon van RijnDepartment of Internal medicine, Geriatric section, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Eric P Moll van CharanteDepartment of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Sophia E de RooijDepartment of Internal medicine, Geriatric section, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Bianca M BuurmanDepartment of Internal medicine, Geriatric section, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Academic Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-reported data are often used for estimates on healthcare utilization in cost-effectiveness studies.

objectiveTo analyze older adults' self-report of healthcare utilization compared to data obtained from the general practitioners' (GP) electronic medical record (EMR) and to study the differences in healthcare utilization between those who completed the study, those who did not respond, and those lost to follow-up.

methodsA prospective cohort study was conducted among community-dwelling persons aged 70 years and above, without dementia and not living in a nursing home. Self-reporting questionnaires were compared to healthcare utilization data extracted from the EMR at the GP-office.

resultsOverall, 790 persons completed questionnaires at baseline, median age 75 years (IQR 72-80), 55.8% had no disabilities in (instrumental) activities of daily living. Correlations between self-report data and EMR data on healthcare utilization were substantial for 'hospitalizations' and 'GP home visits' at 12 months intraclass correlation coefficient 0.63 (95% CI; 0.58-0.68). Compared to the EMR, self-reported healthcare utilization was generally slightly over-reported. Non-respondents received more GP home visits (p<0.05). Of the participants who died or were institutionalized 62.2% received 2 or more home visits (p<0.001) and 18.9% had 2 or more hospital admissions (p<0.001) versus respectively 18.6% and 3.9% of the participants who completed the study. Of the participants lost to follow-up for other reasons 33.0% received 2 or more home visits (p<0.01) versus 18.6 of the participants who completed the study.

conclusionsSelf-report of hospitalizations and GP home visits in a broadly 'healthy' community-dwelling older population seems adequate and efficient. However, as people become older and more functionally impaired, collecting healthcare utilization data from the EMR should be considered to avoid measurement bias, particularly if the data will be used to support economic evaluation.

Indexed as

Delivery of Health CareHospitalizationSelf ReportSurveys and QuestionnairesAgedFemaleFollow-Up StudiesHumansMaleNetherlandsProspective Studies

Identifiers

PMID24710075
PMCPMC3977826
OpenAlexW2069710293

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.