Evidence map›Paper›PMID 38780006›Full record

ReviewPublic health reports (Washington, D.C. : 1974)

Advancing Evidence-Based Public Health Policy: How Core Component Thinking Can Illuminate the Multilevel Nature of Public Health Policy.

Richard W Puddy, Megan A Kelly, Christopher Nelson, Alexandra H Ntazinda, Sameer Siddiqi, Diane Hall, Christian T Murray, James E Kucik

Abstract readReview
In one paragraph

Review in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A complexity theory-informed COPC approach to evaluation of mining health programmes.African journal of primary health care & family medicine · 2025
    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

8 authors.

Richard W PuddyOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-9770-2134
Megan A KellyOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-9498-3789
Christopher NelsonRAND Corporation, Santa Monica, CA, USA.
Alexandra H NtazindaRAND Corporation, Santa Monica, CA, USA.
Sameer SiddiqiRAND Corporation, Arlington, VA, USA.ORCID 0000-0001-8094-5677
Diane HallOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Christian T MurrayOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
James E KucikOffice of Policy, Performance, and Evaluation, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of literature uses the concept of core components to better understand small-scale programmatic interventions. Instead of interventions being viewed as unitary "black boxes," interventions are viewed as configurations of core components, which are the parts of interventions that carry their causal potential and therefore need to be reproduced with fidelity to produce the intended effect. To date, the concept of core components has not been as widely applied to public health policy interventions as it has to programmatic interventions. The purpose of this topical review is to familiarize public health practitioners and policy makers with the concept of core components as applied to public health policy interventions. Raising the profile of core component thinking can foster mindful adaptation and implementation of public health policy interventions while encouraging further research to enhance the supporting evidence base. We present 3 types of multilevel interactions in which the core components of a public health policy intervention produce effects at the population level by (1) seeking to directly affect individual behavior, (2) facilitating adoption of programmatic interventions by intermediaries, and (3) encouraging intermediaries to take action that can shape changes in upstream drivers of population health. Changing the unit of analysis from whole policies to core components can provide a basis for understanding how policies work and for facilitating novel evidence-generating strategies and rapid evidence reviews that can inform future adaptation efforts.

Indexed as

Evidence-Based PracticeHealth PolicyPublic HealthHumansPolicy Makingcore componentsevidence-based public health policy interventionspolicy changeterminology

Identifiers

PMID38780006
PMCPMC11512463

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.