Evidence map›Paper›PMID 31916247›Full record

ArticleHealth services research2020

Performance of ICD-10-CM diagnosis codes for identifying children with Sickle Cell Anemia.

Sarah L Reeves, Brian Madden, Meng Wu, Lauren S Miller, David Anders, Michele Caggana, Lindsay W Cogan, Mary Kleyn, Isabel Hurden, Gary L Freed and 1 more

Abstract read
In one paragraph

Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

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  11. TCD screening and spending among children with sickle cell anemia.The American journal of managed care · 2023
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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

11 authors.

Sarah L ReevesSusan B Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-9145-0183
Brian MaddenSusan B Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Meng WuNew York State Department of Health, Office of Quality and Patient Safety, Albany, New York.
Lauren S MillerNew York State Department of Health, Office of Quality and Patient Safety, Albany, New York.ORCID 0000-0003-2335-4074
David AndersNew York State Department of Health, Office of Quality and Patient Safety, Albany, New York.
Michele CagganaNew York State Department of Health, Office of Quality and Patient Safety, Albany, New York.
Lindsay W CoganNew York State Department of Health, Office of Quality and Patient Safety, Albany, New York.
Mary KleynMichigan Department of Health and Human Services, Lansing, Michigan.
Isabel HurdenMichigan Department of Health and Human Services, Lansing, Michigan.
Gary L FreedSusan B Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.
Kevin J DombkowskiSusan B Meister Child Health Evaluation and Research Center, Department of Pediatrics, University of Michigan, Ann Arbor, Michigan.

Funding

Q-METRIC Implementation and Quality ImprovementU18HS025292 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREED, GARY L. · 2016 to 2019
$2.6M
Identifying Opportunities to Improve Hydroxyurea Therapy Initiation and Adherence among Children with Sickle Cell DiseaseK01HL132057 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI REEVES, SARAH LEASURE · 2016 to 2020
$626k
AHRQ HHS U18 HS025292NHLBI NIH HHS K01 HL132057
6 · The paper itself

Abstract

objectiveTo develop, test, and validate the performance of ICD-10-CM claims-based case definitions for identifying children with sickle cell anemia (SCA). DATA SOURCES: Medicaid administrative claims (2016) for children <18 years with potential SCA (any D57x diagnosis code) and newborn screening records from Michigan and New York State. STUDY

designThis study is a secondary data analysis. DATA COLLECTION/EXTRACTION

methodsUsing specific SCA-related (D5700, D5701, and D5702) and nonspecific (D571) diagnosis codes, 23 SCA case definitions were applied to Michigan Medicaid claims (2016) to identify children with SCA. Measures of performance (sensitivity, specificity, area under the ROC curve) were calculated using newborn screening results as the gold standard. A parallel analysis was conducted using New York State Medicaid claims and newborn screening data. PRINCIPAL

findingsIn Michigan Medicaid, 1597 children had ≥1 D57x claim; 280 (18 percent) were diagnosed with SCA. Measures of performance varied, with sensitivities from 0.02 to 0.97 and specificities from 0.88 to 1.0. The case definition of ≥1 outpatient visit with a SCA-related or D571 code had the highest area under the ROC curve, with a sensitivity of 95 percent and specificity of 92 percent. The same definition also had the highest performance in New York Medicaid (n = 2454), with a sensitivity of 94 percent and specificity of 86 percent.

conclusionsChildren with SCA can be accurately identified in administrative claims using this straightforward case definition. This methodology can be used to monitor trends and use of health services after transition to ICD-10-CM.

Indexed as

Guidelines as TopicAdolescentAnemia, Sickle CellChildChild, PreschoolFemaleHumansInfantInfant, NewbornInternational Classification of DiseasesMaleMedicaidMichiganNew YorkReproducibility of ResultsSocioeconomic Factorsadministrative claimsICD-10-CMsickle cell anemia

Identifiers

PMID31916247
PMCPMC7080376

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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.