Evidence map›Paper›PMID 24636373›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2014

A questionnaire to assess the relevance and credibility of observational studies to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report.

Marc L Berger, Bradley C Martin, Don Husereau, Karen Worley, J Daniel Allen, Winnie Yang, Nicole C Quon, C Daniel Mullins, Kristijan H Kahler, William Crown

Erratum issuedAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 53 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 7 pooled it
–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

53 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  11. APPRAISE: A Tool for Appraising Potential for Bias in Real-World Evidence Studies on Medication Effectiveness or Safety.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors.

Marc L BergerReal World Data and Analytics, Pfizer, New York, NY, USA.
Bradley C MartinDivision of Pharmaceutical Evaluation and Policy, Little Rock, AR, USA. Electronic address: bmartin@uams.edu.
Don HusereauInstitute of Health Economics, Edmonton, AB, Canada; Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, ON, Canada; University for Health Sciences, Medical Informatics and Technology, Tirol, Austria.
Karen WorleyComprehensive Health Insights, Humana, Inc., Cincinnati, OH, USA.
J Daniel AllenOmedaRx, Portland, OR, USA.
Winnie YangBlue Shield of California, Woodland Hills, CA, USA.
Nicole C QuonHealthcare Quality, Optimer Pharmaceuticals, Inc., Jersey City, NJ, USA.
C Daniel MullinsUniversity of Maryland, School of Pharmacy, Pharmaceutical Health Services Research, Baltimore, MD, USA.
Kristijan H KahlerHEOR, Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
William CrownOptumLabs, Cambridge, MA, USA.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029884 · NCRR · UNIV OF ARKANSAS FOR MED SCIS · PI LOWERY, CURTIS L · 2009 to 2011
$11.4M
NCRR NIH HHS 1UL1RR029884NCRR NIH HHS UL1 RR029884
6 · The paper itself

Abstract

Evidence-based health care decisions are best informed by comparisons of all relevant interventions used to treat conditions in specific patient populations. Observational studies are being performed to help fill evidence gaps. Widespread adoption of evidence from observational studies, however, has been limited because of various factors, including the lack of consensus regarding accepted principles for their evaluation and interpretation. Two task forces were formed to develop questionnaires to assist decision makers in evaluating observational studies, with one Task Force addressing retrospective research and the other Task Force addressing prospective research. The intent was to promote a structured approach to reduce the potential for subjective interpretation of evidence and drive consistency in decision making. Separately developed questionnaires were combined into a single questionnaire consisting of 33 items. These were divided into two domains: relevance and credibility. Relevance addresses the extent to which findings, if accurate, apply to the setting of interest to the decision maker. Credibility addresses the extent to which the study findings accurately answer the study question. The questionnaire provides a guide for assessing the degree of confidence that should be placed from observational studies and promotes awareness of the subtleties involved in evaluating those.

Indexed as

Decision MakingSurveys and QuestionnairesAdvisory CommitteesDelivery of Health CareEvidence-Based MedicineHumansInternationalityObservational Studies as TopicResearch Designbiaschecklistcomparative effectiveness researchconfoundingconsensuscredibilitydecision makingprospective observational studyqualityquestionnairerelevanceretrospective observational studyvalidity

Identifiers

PMID24636373
PMCPMC4217656

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.