Evidence map›Paper›PMID 41997222›Full record

ArticleAnnals of epidemiology2026

Advancing systems thinking in implementation science: An epidemiologic perspective.

Danielle Giovenco, Lindsey M Filiatreau, Justin Knox, Aaloke Mody, Sandro Galea, Brandon D L Marshall, Kristin M Wall, Patrick S Sullivan

Abstract read
In one paragraph

Article in Annals of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danielle GiovencoHubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA. Electronic address: danielle.giovenco@emory.edu.
Lindsey M FiliatreauSchool of Public Health, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA. Electronic address: flindsey@wustl.edu.
Justin KnoxNew York State Psychiatric Institute and Departments of Psychiatry and Sociomedical Sciences, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA. Electronic address: jrk2115@columbia.edu.
Aaloke ModyDivision of Infectious Diseases, School of Medicine, Washington University in St. Louis, 4523 Clayton Ave, St. Louis, MO 63110, USA. Electronic address: aaloke.mody@wustl.edu.
Sandro GaleaSchool of Public Health, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA. Electronic address: sgalea@wustl.edu.
Brandon D L MarshallDepartment of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02912, USA. Electronic address: brandon_marshall@brown.edu.
Kristin M WallDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA. Electronic address: kmwall@emory.edu.
Patrick S SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, USA. Electronic address: pssulli@emory.edu.

Funding

Designing adaptive implementation strategies for mental health care in persons living with HIV in South Africa (DASH-SA)K01MH136924 · NIMH · WASHINGTON UNIVERSITY · PI Lindsey Filiatreau · 2024 to 2026
$537k
Preventing disruptions in progress towards ending HIV/AIDS: Lessons from the COVID-19 pandemicK01MH135783 · NIMH · EMORY UNIVERSITY · PI Danielle Giovenco · 2024 to 2026
$531k
NIMH NIH HHS K01 MH135783NIMH NIH HHS K01 MH136924
6 · The paper itself

Abstract

The population-level impact of public health interventions depends on their implementation in real-world settings. This is the purview of implementation science. As the field of implementation science advances, there is growing recognition that complex health challenges demand solutions that account for the dynamic systems in which interventions unfold. Epidemiologists, trained to define causal relationships and quantify population-level effects, are uniquely positioned to contribute to this effort. Yet, realizing that potential requires moving beyond traditional epidemiologic methods, which can be reductionist in nature, and embracing tools from systems thinking. This paper illustrates how integrating epidemiologic methods with principles of systems thinking can strengthen implementation science and inform implementation strategies for evidence-based interventions in complex real-world settings.

Indexed as

Implementation SciencePublic HealthSystems AnalysisEpidemiologic MethodsHumansepidemiologic methodsimplementation sciencesystems thinking

Identifiers

PMID41997222
PMCPMC13459034

What OpenQuestion holds

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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.