Evidence map›Paper›PMID 28474299›Full record

ArticlePharmacoEconomics2017

Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues.

Carl V Asche, Brian Seal, Kristijan H Kahler, Elisabeth M Oehrlein, Meredith Greer Baumgartner

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  5. Demonstrating Benefit-Risk Profiles of Novel Therapeutic Strategies in Kidney Transplantation: Opportunities and Challenges of Real-World Evidence.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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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

5 authors.

Carl V AscheCenter for Outcomes Research, University of Illinois College of Medicine at Peoria, 1 Illini Dr, Peoria, IL, 61605, USA. cva@uic.edu.ORCID http://orcid.org/0000-0002-3193-6800
Brian SealGlobal Health Outcomes, Takeda, Bedford, MA, USA.
Kristijan H KahlerNovartis Pharmaceuticals Corporation, 1 Health Plaza, East Hanover, NJ, 07936, USA.
Elisabeth M OehrleinPharmaceutical Heath Services Research, University of Maryland, Baltimore, MD, USA.
Meredith Greer BaumgartnerCenter for Outcomes Research, University of Illinois College of Medicine at Peoria, 1 Illini Dr, Peoria, IL, 61605, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the analysis of 'big data' holds tremendous potential to improve patient care, there remain significant challenges before it can be realized. Accuracy and completeness of data, linkage of disparate data sources, and access to data are areas that require particular focus. This article discusses these areas and shares strategies to promote progress. Improvement in clinical coding, innovative matching methodologies, and investment in data standardization are potential solutions to data validation and linkage problems. Challenges to data access still require significant attention with data ownership, security needs, and costs representing significant barriers to access.

Indexed as

Databases, FactualMedical InformaticsAccess to InformationClinical CodingDatasets as TopicDelivery of Health CareHumansOwnershipData OwnershipMedical Expenditure Panel SurveyPayment ModelSafe HarborUnmeasured Confound

Identifiers

What OpenQuestion holds

Textmetadata
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.