Evidence map›Paper›PMID 39076770›Full record

ArticleFrontiers in health services2024

Design considerations for developing measures of policy implementation in quantitative evaluations of public health policy.

Natalie Riva Smith, Douglas E Levy, Jennifer Falbe, Jonathan Purtle, Jamie F Chriqui

Abstract read
In one paragraph

Article in Frontiers in health services, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Natalie Riva SmithDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.
Douglas E LevyMongan Institute Health Policy Research Center, Massachusetts General Hospital, Boston, MA, United States.
Jennifer FalbeHuman Development and Family Studies Program, Department of Human Ecology, University of California, Davis, CA, United States.
Jonathan PurtleDepartment of Public Health Policy & Management, Global Center for Implementation Science, New York University School of Global Public Health, New York, NY, United States.
Jamie F ChriquiInstitute for Health Research and Policy, University of Illinois Chicago, Chicago, IL, United States.

Funding

Assessing the impact of vaping control policies at the school, local and state levelsR01DA054935 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI Douglas Levy · 2022 to 2026
$3.8M
Impact of a Healthy Checkout Policy on Healthfulness of Grocery Environments and SalesR01DK135099 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Jennifer Falbe · 2023 to 2026
$2.9M
Implementation of the Federal 988 Suicide and Mental Health Crisis Hotline Policy: Determinants and Effects of State Policy Implementation Financing StrategiesR01MH131649 · NIMH · NEW YORK UNIVERSITY · PI Jonathan Purtle · 2023 to 2026
$1.6M
Developing and evaluating a decision support tool to disseminate tobacco control research and inform policy implementationK99CA277135 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SMITH, NATALIE RIVA · 2023 to 2024
$254k
NCI NIH HHS K99 CA277135NIDA NIH HHS R01 DA054935NIDDK NIH HHS R01 DK135099NIMH NIH HHS R01 MH131649
6 · The paper itself

Abstract

Typical quantitative evaluations of public policies treat policies as a binary condition, without further attention to how policies are implemented. However, policy implementation plays an important role in how the policy impacts behavioral and health outcomes. The field of policy-focused implementation science is beginning to consider how policy implementation may be conceptualized in quantitative analyses (e.g., as a mediator or moderator), but less work has considered how to measure policy implementation for inclusion in quantitative work. To help address this gap, we discuss four design considerations for researchers interested in developing or identifying measures of policy implementation using three independent NIH-funded research projects studying e-cigarette, food, and mental health policies. Mini case studies of these considerations were developed via group discussions; we used the implementation research logic model to structure our discussions. Design considerations include (1) clearly specifying the implementation logic of the policy under study, (2) developing an interdisciplinary team consisting of policy practitioners and researchers with expertise in quantitative methods, public policy and law, implementation science, and subject matter knowledge, (3) using mixed methods to identify, measure, and analyze relevant policy implementation determinants and processes, and (4) building flexibility into project timelines to manage delays and challenges due to the real-world nature of policy. By applying these considerations in their own work, researchers can better identify or develop measures of policy implementation that fit their needs. The experiences of the three projects highlighted in this paper reinforce the need for high-quality and transferrable measures of policy implementation, an area where collaboration between implementation scientists and policy experts could be particularly fruitful. These measurement practices provide a foundation for the field to build on as attention to incorporating measures of policy implementation into quantitative evaluations grows and will help ensure that researchers are developing a more complete understanding of how policies impact health outcomes.

Indexed as

health policyimplementation sciencepolicy evaluationpolicy implementation sciencepolicy research

Identifiers

PMID39076770
PMCPMC11285065

What OpenQuestion holds

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LicenceCC BY
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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.