Evidence map›Paper›PMID 35075043›Full record

ArticleMedical care2022

Assessment of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Code Assignment Validity for Case Finding of Medication-related Hypoglycemia Acute Care Visits Among Medicare Beneficiaries.

Tsu-Hsuan Yang, Robert Ziemba, Nadine Shehab, Andrew I Geller, Karan Talreja, Kyle N Campbell, Daniel S Budnitz

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Medical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Observational
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 1 institution in 1 country.

Tsu-Hsuan YangHealthcare Policy and Quality Measurement Division, Health Services Advisory Group Inc., Tampa, FL.
Robert ZiembaHealthcare Policy and Quality Measurement Division, Health Services Advisory Group Inc., Tampa, FL.
Nadine ShehabDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Andrew I GellerDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Karan TalrejaHealthcare Policy and Quality Measurement Division, Health Services Advisory Group Inc., Tampa, FL.
Kyle N CampbellHealthcare Policy and Quality Measurement Division, Health Services Advisory Group Inc., Tampa, FL.
Daniel S BudnitzDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveAdministrative claims are commonly relied upon to identify hypoglycemia. We assessed validity of 14 International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code assignments to identify medication-related hypoglycemia leading to acute care encounters. RESEARCH DESIGN AND

methodsA multisite, retrospective medical record review study was conducted in a sample of Medicare beneficiaries prescribed outpatient diabetes medications and who received hospital care between January 1, 2016 and September 30, 2017. Diagnosis codes were validated with structured medical record review using prespecified criteria (clinical presentation, blood glucose values, and treatments for hypoglycemia). Sensitivity, specificity, and positive and negative predictive value (PPV, NPV) were calculated and adjusted using sampling weights to correct for partial verification bias.

resultsAmong 990 encounters (496 cases, 494 controls), hypoglycemia codes demonstrated moderate PPV (69.2%; 95% confidence interval: 65.0-73.0) and moderate sensitivity (83.9%; 95% confidence interval: 70.0-95.5). Codes performed better at identifying hypoglycemic events among emergency department/observation encounters compared with hospitalizations (PPV 92.9%, sensitivity 100.0% vs. PPV 53.7%, sensitivity 71.0%). Accuracy varied by diagnosis position, especially for hospitalizations, with PPV of 95.6% versus 46.5% with hypoglycemia in primary versus secondary positions. Use of adverse event/poisoning codes did not improve accuracy; reliance on these codes alone would have missed 97% of true hypoglycemic events.

conclusionsAccuracy of International Classification of Diseases, Tenth Revision codes in administrative claims to identify medication-related hypoglycemia varied substantially by encounter type and diagnosis position. Consideration should be given to the trade-off between PPV and sensitivity when selecting codes, encounter types, and diagnosis positions to identify hypoglycemia.

Indexed as

AdultAgedAged, 80 and overAmbulatory CareDiabetes MellitusFemaleHumansHypoglycemiaHypoglycemic AgentsInternational Classification of DiseasesMaleMedicareMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesHypoglycemic Agents

Identifiers

PMID35075043
PMCPMC13021281
OpenAlexW4206929830

What OpenQuestion holds

Textmetadata
LicenceTDM
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.