Evidence map›Paper›PMID 36913366›Full record

ArticlePloS one2023

Validity of ICD codes to identify do-not-resuscitate orders among older adults with heart failure: A single center study.

Katherine Callahan, Yubraj Acharya, Christopher S Hollenbeak

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

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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

3 authors.

Katherine CallahanDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, Williamsport, Pennsylvania, United States of America.ORCID 0000-0002-4617-3965
Yubraj AcharyaDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, Williamsport, Pennsylvania, United States of America.ORCID 0000-0002-9003-636X
Christopher S HollenbeakDepartment of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, Williamsport, Pennsylvania, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational research on the advance care planning (ACP) process is limited by a lack of easily accessible ACP variables in many large datasets. The objective of this study was to determine whether International Classification of Disease (ICD) codes for do-not-resuscitate (DNR) orders are valid proxies for the presence of a DNR recorded in the electronic medical record (EMR).

methodsWe studied 5,016 patients over the age of 65 who were admitted to a large, mid-Atlantic medical center with a primary diagnosis of heart failure. DNR orders were identified in billing records from ICD-9 and ICD-10 codes. DNR orders were also identified in the EMR by a manual search of physician notes. Sensitivity, specificity, positive predictive value and negative predictive value were calculated as well as measures of agreement and disagreement. In addition, estimates of associations with mortality and costs were calculated using the DNR documented in EMR and the DNR proxy identified in ICD codes.

resultsRelative to the gold standard of the EMR, DNR orders identified in ICD codes had an estimated sensitivity of 84.6%, specificity of 96.6%, positive predictive value of 90.5%, and negative predictive value of 94.3%. The estimated kappa statistic was 0.83, although McNemar's test suggested there was some systematic disagreement between the DNR from ICD codes and the EMR.

conclusionsICD codes appear to provide a reasonable proxy for DNR orders among hospitalized older adults with heart failure. Further research is necessary to determine if billing codes can identify DNR orders in other populations.

Indexed as

Heart FailureResuscitation OrdersAdvance DirectivesAgedElectronic Health RecordsHumansInternational Classification of Diseases

Identifiers

PMID36913366
PMCPMC10010557

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