Evidence map›Paper›PMID 33620516›Full record

ArticleRheumatology international2021

The accuracy of administrative health data for identifying patients with rheumatoid arthritis: a retrospective validation study using medical records in Western Australia.

Khalid Almutairi, Charles Inderjeeth, David B Preen, Helen Keen, Katrina Rogers, Johannes Nossent

Abstract read
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In one paragraph

Article in Rheumatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  7. First fracture in rheumatoid arthritis: analysis by fracture site, gender, age, and comorbidities.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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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

6 authors at 2 institutions in 2 countries.

Khalid AlmutairiSchool of Medicine, The University of Western Australia, Perth, WA, Australia. khalid.almutairi@research.uwa.edu.au.ORCID http://orcid.org/0000-0002-9246-7294
Charles InderjeethSchool of Medicine, The University of Western Australia, Perth, WA, Australia.ORCID http://orcid.org/0000-0003-0535-963X
David B PreenSchool of Population and Global Health, The University of Western Australia, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-2982-2169
Helen KeenSchool of Medicine, The University of Western Australia, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-8469-2424
Katrina RogersSir Charles Gairdner and Osborne Park Health Care Group, Perth, WA, Australia.ORCID http://orcid.org/0000-0003-2220-1797
Johannes NossentSchool of Medicine, The University of Western Australia, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-2833-7997
The University of Western Australia · AUSir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of administrative health datasets is increasingly important for research on disease trends and outcome. The Western Australian (WA) Rheumatic Disease Epidemiological Registry contains longitudinal health data for over 10,000 patients with rheumatoid arthritis (RA). Accurate coding for RA is essential to the validity of this dataset. Investigate the diagnostic accuracy of International Classification of Diseases (ICD)-based discharge codes for RA at WA's largest tertiary hospital. Medical records for a sample of randomly selected patients with ICD-10 codes (M05.00-M06.99) in the hospital discharge database between 2008 and 2020 were retrospectively reviewed. Rheumatologist-reported diagnoses and ACR/EULAR classification criteria were used as reference standards to determine accuracy measures. Medical chart review was completed for 87 patients (mean (± SD) age 64.7 ± 17.2 years), 67.8% female). A total of 80 (91.9%) patients had specialist confirmed RA diagnosis, while seven patients (8%) had alternate clinical diagnoses. Among 87 patients, 69 patients (79.3%) were fulfilled ACR/EULAR classification criteria. The agreement between the reference standards was moderate (Kappa 0.41). Based on rheumatologist-reported diagnoses and ACR/EULAR classification criteria, primary diagnostic codes for RA alone had a sensitivity of (90% vs 89.8%), and PPV (90.9% vs 63.6%), respectively. A combination of a diagnostic RA code with biologic infusion codes in two or more codes increased the PPV to 97.9%. Hospital discharge diagnostic codes in WA identify RA patients with a high degree of accuracy. Combining a primary diagnostic code for RA with biological infusion codes can further increase the PPV.

Indexed as

AdultAgedAged, 80 and overAntirheumatic AgentsArthritis, RheumatoidData AccuracyDatabases, FactualFemaleHumansInternational Classification of DiseasesMaleMedical RecordsMiddle AgedPredictive Value of TestsRegistriesRetrospective StudiesAntirheumatic AgentsArthritisData accuracyEpidemiologic research designPredictive value of testsRheumatoidRoutinely collected health data

Identifiers

PMID33620516
OpenAlexW3132119136

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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.