Evidence map›Paper›PMID 32939942›Full record

ReviewPediatric blood & cancer2020

Administrative data identify sickle cell disease: A critical review of approaches in U.S. health services research.

Scott D Grosse, Nancy S Green, Sarah L Reeves

Open access · bronzeAbstract readReview
In one paragraph

Review in Pediatric blood & cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 44 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Scott D GrosseCenters for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, Atlanta, Georgia.ORCID 0000-0003-1078-6855
Nancy S GreenDepartment of Pediatrics, Division of Pediatric Hematology, Oncology and Stem Cell Transplantation, Columbia University Medical Center, New York, New York.ORCID 0000-0002-9877-1561
Sarah L ReevesDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan School of Medicine, Ann Arbor, Michigan.
Centers for Disease Control and Prevention · USColumbia University Irving Medical Center · USUniversity of Michigan · US

Funding

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
Intramural CDC HHS CC999999NHLBI NIH HHS 5K01HL132057NHLBI NIH HHS K01 HL132057
6 · The paper itself

Abstract

To identify people living with sickle cell disease (SCD) and study their healthcare utilization, researchers can either use clinical records linked to administrative data or use billing diagnosis codes in stand-alone administrative databases. Correct identification of individuals clinically managed for SCD using diagnosis codes in claims databases is limited by the accuracy of billing codes in outpatient encounters. In this critical review, we assess the strengths and limitations of claims-based SCD case-finding algorithms in stand-alone administrative databases that contain both inpatient and outpatient records. Validation studies conducted using clinical records and newborn screening for confirmation of SCD case status have found that algorithms that require three or more nonpharmacy claims or one inpatient claim plus two or more outpatient claims with SCD codes show acceptable accuracy (positive predictive value and sensitivity) in children and adolescents. Future studies might seek to assess the accuracy of case-finding algorithms over the lifespan.

Indexed as

AlgorithmsDatabases, FactualAnemia, Sickle CellClinical CodingHealth Services ResearchHumansInsurance Claim Reviewbilling codesdiagnostic codeshealthcare useMedicaidsickle cell disease

Identifiers

PMID32939942
PMCPMC7606824
OpenAlexW3087015794

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.