Evidence map›Paper›PMID 32993756›Full record

ArticleImplementation science : IS2020

Rugged landscapes: complexity and implementation science.

Joseph T Ornstein, Ross A Hammond, Margaret Padek, Stephanie Mazzucca, Ross C Brownson

Abstract read
In one paragraph

Article in Implementation science : IS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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.

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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Joseph T OrnsteinBrown School, Washington University in St. Louis, Brookings Drive, St. Louis, MO, USA. jornstein@wustl.edu.ORCID 0000-0002-5704-2098
Ross A HammondBrown School, Washington University in St. Louis, Brookings Drive, St. Louis, MO, USA.
Margaret PadekBrown School, Washington University in St. Louis, Brookings Drive, St. Louis, MO, USA.
Stephanie MazzuccaBrown School, Washington University in St. Louis, Brookings Drive, St. Louis, MO, USA.
Ross C BrownsonBrown School, Washington University in St. Louis, Brookings Drive, St. Louis, MO, USA.

Funding

Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
Mis-Implementation in Cancer Prevention and ControlR01CA214530 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2017 to 2021
$2.7M
ACL HHS U48DP006395CDC HHS U48DP006395-01NCCDPHP CDC HHS U48 DP006395NCI NIH HHS P50 CA244431NCI NIH HHS P50CA244431NCI NIH HHS R01 CA214530NCI NIH HHS R01CA214530
6 · The paper itself

Abstract

backgroundMis-implementation-defined as failure to successfully implement and continue evidence-based programs-is widespread in public health practice. Yet the causes of this phenomenon are poorly understood.

methodsWe develop an agent-based computational model to explore how complexity hinders effective implementation. The model is adapted from the evolutionary biology literature and incorporates three distinct complexities faced in public health practice: dimensionality, ruggedness, and context-specificity. Agents in the model attempt to solve problems using one of three approaches-Plan-Do-Study-Act (PDSA), evidence-based interventions (EBIs), and evidence-based decision-making (EBDM).

resultsThe model demonstrates that the most effective approach to implementation and quality improvement depends on the underlying nature of the problem. Rugged problems are best approached with a combination of PDSA and EBI. Context-specific problems are best approached with EBDM.

conclusionsThe model's results emphasize the importance of adapting one's approach to the characteristics of the problem at hand. Evidence-based decision-making (EBDM), which combines evidence from multiple independent sources with on-the-ground local knowledge, is a particularly potent strategy for implementation and quality improvement.

Indexed as

Evidence-Based PracticeImplementation ScienceDecision MakingHumansPublic Health PracticeAgent-based modelingComplexityEvidence-based decision-makingMis-implementation

Identifiers

PMID32993756
PMCPMC7523395

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.