Evidence map›Paper›PMID 26376626›Full record

ArticleBMC psychology2015

An introduction to implementation science for the non-specialist.

Mark S Bauer, Laura Damschroder, Hildi Hagedorn, Jeffrey Smith, Amy M Kilbourne

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

Article in BMC psychology, 2015. 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 904 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
904citing papers in PubMed, 10 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.

NCT03725774 nacompletednot on this mapstarted 2016, after this paper: background citation

The SUMAMOS EXCELENCIA Project: Assessment of Implementation of Best Practices in a National Health System

TypeinterventionalSponsorTeresa Moreno CasbasRan2016 to 2017Enrolled300ConditionsAge ProblemArmsGRIP (Getting Research into Practice) model
NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

904 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  2. Facilitators and barriers to the implementation of traditional Chinese exercises in cancer patients: a mixed-methods systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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844 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

5 authors.

Mark S BauerCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System and Department of Psychiatry, Harvard Medical School, Boston, MA, USA. mark.bauer@va.gov.
Laura DamschroderCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA. Laura.damschroder@va.gov.
Hildi HagedornSubstance Use Disorder Quality Enhancement Research Initiative and Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System & Department of Psychiatry, University of Minnesota School of Medicine, Minneapolis, MN, USA. Hildi.hagedorn@va.gov.
Jeffrey SmithMental Health Quality Enhancement Research Initiative, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA. Jeffrey.smith6@va.gov.
Amy M KilbourneVA Quality Enhancement Research Initiative (QUERI), VA Office of Research and Development, Washington, DC, USA. Amy.kilbourne@va.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe movement of evidence-based practices (EBPs) into routine clinical usage is not spontaneous, but requires focused efforts. The field of implementation science has developed to facilitate the spread of EBPs, including both psychosocial and medical interventions for mental and physical health concerns. DISCUSSION: The authors aim to introduce implementation science principles to non-specialist investigators, administrators, and policymakers seeking to become familiar with this emerging field. This introduction is based on published literature and the authors' experience as researchers in the field, as well as extensive service as implementation science grant reviewers. Implementation science is "the scientific study of methods to promote the systematic uptake of research findings and other EBPs into routine practice, and, hence, to improve the quality and effectiveness of health services." Implementation science is distinct from, but shares characteristics with, both quality improvement and dissemination methods. Implementation studies can be either assess naturalistic variability or measure change in response to planned intervention. Implementation studies typically employ mixed quantitative-qualitative designs, identifying factors that impact uptake across multiple levels, including patient, provider, clinic, facility, organization, and often the broader community and policy environment. Accordingly, implementation science requires a solid grounding in theory and the involvement of trans-disciplinary research teams. The business case for implementation science is clear: As healthcare systems work under increasingly dynamic and resource-constrained conditions, evidence-based strategies are essential in order to ensure that research investments maximize healthcare value and improve public health. Implementation science plays a critical role in supporting these efforts.

Indexed as

Diffusion of InnovationScienceAdministrative PersonnelDelivery of Health CareEvidence-Based MedicineHumansQuality ImprovementTranslational Research, Biomedical

Identifiers

PMID26376626
PMCPMC4573926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.