Evidence map›Paper›PMID 31039124›Full record

ArticleBMJ health & care informatics2019

Reliability of comorbidity scores derived from administrative data in the tertiary hospital intensive care setting: a cross-sectional study.

Michael Hua-Gen Li, Anastasia Hutchinson, Mark Tacey, Graeme Duke

Open access · goldAbstract read
In one paragraph

Article in BMJ health & care informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Physical Comorbidity According to Diagnoses and Sex among Psychiatric Inpatients in South Korea.International journal of environmental research and public health · 2021
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  16. Observational
  17. Data matter: the creation of an acute care surgery registry.Canadian journal of surgery. Journal canadien de chirurgie
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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

4 authors at 2 institutions in 1 country.

Michael Hua-Gen LiNorthern Clinical Research Centre, The Northern Hospital, Epping, Victoria, Australia Michael.Huagen.Li@gmail.com.
Anastasia HutchinsonDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Mark TaceyDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Graeme DukeDepartment of Intensive Care, The Northern Hospital, Epping, Victoria, Australia.
Monash University · AUNorthern Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital reporting systems commonly use administrative data to calculate comorbidity scores in order to provide risk-adjustment to outcome indicators.

objectiveWe aimed to elucidate the level of agreement between administrative coding data and medical chart review for extraction of comorbidities included in the Charlson Comorbidity Index (CCI) and Elixhauser Index (EI) for patients admitted to the intensive care unit of a university-affiliated hospital.

methodWe conducted an examination of a random cross-section of 100 patient episodes over 12 months (July 2012 to June 2013) for the 19 CCI and 30 EI comorbidities reported in administrative data and the manual medical record system. CCI and EI comorbidities were collected in order to ascertain the difference in mean indices, detect any systematic bias, and ascertain inter-rater agreement.

resultsWe found reasonable inter-rater agreement (kappa (κ) coefficient ≥0.4) for cardiorespiratory and oncological comorbidities, but little agreement (κ<0.4) for other comorbidities. Comorbidity indices derived from administrative data were significantly lower than from chart review: -0.81 (95% CI - 1.29 to - 0.33;

conclusionWhile cardiorespiratory and oncological comorbidities were reliably coded in administrative data, most other comorbidities were under-reported and an unreliable source for estimation of CCI or EI in intensive care patients. Further examination of a large multicentre population is required to confirm our findings.

Indexed as

ComorbidityIntensive Care UnitsTertiary Care CentersAdministrative Claims, HealthcareAgedCross-Sectional StudiesHospitalizationHumansMiddle AgedReproducibility of ResultsRisk AdjustmentSeverity of Illness Indexcomorbidityintensive care unitsinternational classification of diseasesmedical recordsseverity of illness index

Identifiers

PMID31039124
PMCPMC7062318
OpenAlexW2950919502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.