Evidence map›Paper›PMID 29328873›Full record

ReviewAnnual review of public health2018

Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research.

Margaret A Handley, Courtney R Lyles, Charles McCulloch, Adithya Cattamanchi

2 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annual review of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 171 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 8 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.

NCT07278401 narecruitingnot on this mapstarted 2025, after this paper: background citation

Community Pharmacies as Social Determinant of Health Navigators

TypeinterventionalSponsorState University of New York at BuffaloRan2025 to 2027Enrolled1,600ConditionsSocial Needs StatusArmsSocial needs screenings and referrals
NCT07673237 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Remote Evaluation and Surveillance of Patients With Interstitial Lung Disease: Transforming ILD Care Delivery With Remote Monitoring

TypeinterventionalSponsorUniversity of California, San FranciscoRan2026 to 2028Enrolled200ConditionsFibrotic Interstitial Lung Disease, IPF and PPF, Lung Fibrosis InterstitialArmsHome Monitoring in Patients with f-ILD
3 · Its place in the literature

Who cites it

171 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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111 more citing papers are in PubMed but not listed here.

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

4 authors.

Margaret A HandleyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California 94110, USA; email: margaret.handley@ucsf.edu.
Courtney R LylesDepartment of Medicine, Division of General Internal Medicine at Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, California 94110, USA.
Charles McCullochDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California 94110, USA; email: margaret.handley@ucsf.edu.
Adithya CattamanchiCenter for Vulnerable Populations at Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, California 94110, USA.

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
NCATS NIH HHS UL1 TR001872
6 · The paper itself

Abstract

Interventional researchers face many design challenges when assessing intervention implementation in real-world settings. Intervention implementation requires holding fast on internal validity needs while incorporating external validity considerations (such as uptake by diverse subpopulations, acceptability, cost, and sustainability). Quasi-experimental designs (QEDs) are increasingly employed to achieve a balance between internal and external validity. Although these designs are often referred to and summarized in terms of logistical benefits, there is still uncertainty about (a) selecting from among various QEDs and (b) developing strategies to strengthen the internal and external validity of QEDs. We focus here on commonly used QEDs (prepost designs with nonequivalent control groups, interrupted time series, and stepped-wedge designs) and discuss several variants that maximize internal and external validity at the design, execution and implementation, and analysis stages.

Indexed as

Implementation ScienceResearch DesignHumansReproducibility of Resultsexternal validityimplementation scienceinterrupted time seriesprepostquasi-experimental designstepped wedge

Identifiers

PMID29328873
PMCPMC8011057

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.