Evidence map›Paper›PMID 39374529›Full record

ArticleAnnals of internal medicine2024

Target Trial Emulation for Evaluating Health Policy.

Nicholas J Seewald, Emma E McGinty, Elizabeth A Stuart

Abstract read
In one paragraph

Article in Annals of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Causal Inference in Health Disparities Research.Annual review of public health · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
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.

Nicholas J SeewaldDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (N.J.S.).ORCID 0000-0002-8367-0522
Emma E McGintyDivision of Health Policy and Economics, Weill Cornell Medicine, New York, New York (E.E.M.).ORCID 0009-0003-5095-9308
Elizabeth A StuartDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (E.A.S.).ORCID 0000-0002-9042-8611

Funding

Using an innovative quality improvement process to increase delivery of evidenced-based CVD risk factor care in community mental health organizationsP50MH115842 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Christina T. Yuan · 2018 to 2026
$16.2M
STATE MEDICAL CANNABIS LAWS, CHRONIC PAIN, AND OPIOIDS: A MIXED-METHODS APPROACHR01DA049789 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MCGINTY, EMMA ELIZABETH · 2020 to 2023
$2.7M
NIDA NIH HHS R01 DA049789NIMH NIH HHS P50 MH115842
6 · The paper itself

Abstract

Target trial emulation is an approach to designing rigorous nonexperimental studies by "emulating" key features of a clinical trial. Most commonly used outside of policy contexts, this approach is also valuable for policy evaluation as policies typically are not randomly assigned. In this article, we discuss the application of the target trial emulation framework in a policy evaluation context. The policy trial emulation framework includes 7 components: the units and eligibility criteria, definitions of the exposure and comparison conditions, assignment mechanism, baseline ("time zero") and follow-up, outcomes, causal estimand, and statistical analysis and assumptions. Policy evaluations that emulate a randomized trial across these dimensions can yield estimates of the causal effects of the policy on outcomes. Using the policy trial emulation framework to conduct and report on research design and methods supports transparent assessment of threats to causal inference in nonexperimental studies intended to assess the effect of a health policy on clinical or population health outcomes.

Indexed as

Health PolicyResearch DesignHumansRandomized Controlled Trials as Topic

Identifiers

PMID39374529
PMCPMC11817613

What OpenQuestion holds

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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.