Evidence map›Paper›PMID 26119470›Full record

ArticleHealth services research2015

Enhancing Clinical Content and Race/Ethnicity Data in Statewide Hospital Administrative Databases: Obstacles Encountered, Strategies Adopted, and Lessons Learned.

Michael Pine, Niranjana M Kowlessar, Jason L Salemi, Jill Miyamura, David S Zingmond, Nicole E Katz, Joe Schindler

Abstract read
In one paragraph

Article in Health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Michael PineMichael Pine and Associates, 1 East Upper Wacker Drive #1210, Chicago, IL.
Niranjana M KowlessarSocial & Scientific Systems, Inc., Silver Spring, MD.
Jason L SalemiBaylor College of Medicine, 3701 Kirby Drive, Room LMPL-600, Mail Stop BCM700, Houston, TX, 77098.
Jill MiyamuraHawaii Health Information Corporation, Honolulu, HI.
David S ZingmondUCLA Division of General Internal Medicine and Health Services Research, Los Angeles, CA.
Nicole E KatzUniversity of New Mexico, Albuquerque, NM.
Joe SchindlerMinnesota Hospital Association, St. Paul, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEight grant teams used Agency for Healthcare Research and Quality infrastructure development research grants to enhance the clinical content of and improve race/ethnicity identifiers in statewide all-payer hospital administrative databases. PRINCIPAL

findingsGrantees faced common challenges, including recruiting data partners and ensuring their continued effective participation, acquiring and validating the accuracy and utility of new data elements, and linking data from multiple sources to create internally consistent enhanced administrative databases. Successful strategies to overcome these challenges included aggressively engaging with providers of critical sources of data, emphasizing potential benefits to participants, revising requirements to lessen burdens associated with participation, maintaining continuous communication with participants, being flexible when responding to participants' difficulties in meeting program requirements, and paying scrupulous attention to preparing data specifications and creating and implementing protocols for data auditing, validation, cleaning, editing, and linking. In addition to common challenges, grantees also had to contend with unique challenges from local environmental factors that shaped the strategies they adopted.

conclusionsThe creation of enhanced administrative databases to support comparative effectiveness research is difficult, particularly in the face of numerous challenges with recruiting data partners such as competing demands on information technology resources. Excellent communication, flexibility, and attention to detail are essential ingredients in accomplishing this task. Additional research is needed to develop strategies for maintaining these databases when initial funding is exhausted.

Indexed as

Databases, FactualPatient DischargeQuality ImprovementData CollectionEthnicityHealth Services ResearchHumansRacial GroupsResearch Support as TopicUnited StatesUnited States Agency for Healthcare Research and Qualitydata enhancementHospital administrative datainformation technology in health

Identifiers

PMID26119470
PMCPMC4545333

What OpenQuestion holds

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Registered trials

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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.