Evidence map›Paper›PMID 25464005›Full record

ArticlePloS one2014

Concordance between patient self-reports and claims data on clinical diagnoses, medication use, and health system utilization in Taiwan.

Chi-Shin Wu, Mei-Shu Lai, Susan Shur-Fen Gau, Sheng-Chang Wang, Hui-Ju Tsai

Abstract 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 149 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 2 pooled it
–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

149 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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89 more citing papers are in PubMed but not listed here.

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

5 authors.

Chi-Shin WuDepartment of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan; College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan.
Mei-Shu LaiCollege of Public Health, National Taiwan University, Taipei, Taiwan.
Susan Shur-Fen GauCollege of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan.
Sheng-Chang WangCenter of Neuropsychiatric Research, National Health Research Institutes, Zhunan, Taiwan.
Hui-Ju TsaiDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan; Department of Medical Genetics, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to evaluate the concordance between claims records in the National Health Insurance Research Database and patient self-reports on clinical diagnoses, medication use, and health system utilization.

methodsIn this study, we used the data of 15,574 participants collected from the 2005 Taiwan National Health Interview Survey. We assessed positive agreement, negative agreement, and Cohen's kappa statistics to examine the concordance between claims records and patient self-reports.

resultsKappa values were 0.43, 0.64, and 0.61 for clinical diagnoses, medication use, and health system utilization, respectively. Using a strict algorithm to identify the clinical diagnoses recorded in claims records could improve the negative agreement; however, the effect on positive agreement and kappa was diverse across various conditions.

conclusionWe found that the overall concordance between claims records in the National Health Insurance Research Database and patient self-reports in the Taiwan National Health Interview Survey was moderate for clinical diagnosis and substantial for both medication use and health system utilization.

Indexed as

Self ReportAdolescentAdultAgedAlgorithmsAutomationChildCross-Sectional StudiesDrug TherapyFemaleHealth Services ResearchHospitalizationHumansInsurance Claim ReviewInsurance, HealthMale

Identifiers

PMID25464005
PMCPMC4251897

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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.