Evidence map›Paper›PMID 28835273›Full record

SynthesisBMC health services research2017

Meausures of organizational characteristics associated with adoption and/or implementation of innovations: A systematic review.

Jennifer D Allen, Samuel D Towne, Annette E Maxwell, Lisa DiMartino, Bryan Leyva, Deborah J Bowen, Laura Linnan, Bryan J Weiner

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 2% of its field
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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  14. Repeated measures of implementation variables.Frontiers in health services · 2023
    Article
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  19. Iowa Implementation for Sustainability Framework.Implementation science : IS · 2022
    Article
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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

8 authors at 6 institutions in 1 country.

Jennifer D AllenDepartment of Community Health, Tufts University, 574 Boston Avenue, Medford, MA, 02155, USA. Jennifer.allen@tufts.edu.
Samuel D TowneTexas A&M University, School of Public Health, 1266 TAMU, College Station, TX, 77843-1266, USA.
Annette E MaxwellUniversity of California Los Angeles, Fielding School of Public Health, 650 Charles Young Drive South, Los Angeles, CA, 90095-6900, USA.
Lisa DiMartinoDepartment of Health Policy and Management CB#7411, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514-7411, USA.
Bryan LeyvaWarren Alpert Medical School, Brown University, Providence, RI, 02903, USA.
Deborah J BowenDepartment of Bioethics and Humanities, University of Washington, 1107 ne 45th street #305, Seattle, WA, 98105, USA.
Laura LinnanDepartment of Health Behavior, University of North Carolina Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB 7440, Chapel Hill, NC, 27599-7440, USA.
Bryan J WeinerDepartment of Health Policy and Management, University of North Carolina Gillings School of Public Health, University of North Carolina at Chapel Hill, CB #7411, Chapel Hill, NC, 27599-7400, USA.
University of North Carolina at Chapel Hill · USBrown University · USTexas A&M University · USTufts University · USUniversity of California, Los Angeles · USUniversity of Washington · US

Funding

LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
ACL HHS U19OH008861NCCDPHP CDC HHS U48 DP001924NCCDPHP CDC HHS U48 DP001934NCCDPHP CDC HHS U48 DP001946NCI NIH HHS R25 CA057726NCI NIH HHS T32 CA057726NIOSH CDC HHS U19 OH008861
6 · The paper itself

Abstract

backgroundThis paper identifies and describes measures of constructs relevant to the adoption or implementation of innovations (i.e., new policies, programs or practices) at the organizational-level. This work is intended to advance the field of dissemination and implementation research by aiding scientists in the identification of existing measures and highlighting methodological issues that require additional attention.

methodsWe searched for published studies (1973-2013) in 11 bibliographic databases for quantitative, empirical studies that presented outcome data related to adoption and/or implementation of an innovation. Included studies had to assess latent constructs related to the "inner setting" of the organization, as defined by the Consolidated Framework for Implementation Research.

resultsOf the 76 studies included, most (86%) were cross sectional and nearly half (49%) were conducted in health care settings. Nearly half (46%) involved implementation of evidence-based or "best practice" strategies; roughly a quarter (26%) examined use of new technologies. Primary outcomes most often assessed were innovation implementation (57%) and adoption (34%); while 4% of included studies assessed both outcomes. There was wide variability in conceptual and operational definitions of organizational constructs. The two most frequently assessed constructs included "organizational climate" and "readiness for implementation." More than half (55%) of the studies did not articulate an organizational theory or conceptual framework guiding the inquiry; about a third (34%) referenced Diffusion of Innovations theory. Overall, only 46% of articles reported psychometric properties of measures assessing latent organizational characteristics. Of these, 94% (33/35) described reliability and 71% (25/35) reported on validity.

conclusionsThe lack of clarity associated with construct definitions, inconsistent use of theory, absence of standardized reporting criteria for implementation research, and the fact that few measures have demonstrated reliability or validity were among the limitations highlighted in our review. Given these findings, we recommend that increased attention be devoted toward the development or refinement of measures using common psychometric standards. In addition, there is a need for measure development and testing across diverse settings, among diverse population samples, and for a variety of types of innovations.

Indexed as

Diffusion of InnovationHealth Services ResearchOrganizational InnovationCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsAdoption and implementationConsolidated framework for implementation researchInnovationInnovationsMeasuresOrganizational characteristicsSystematic review

Identifiers

PMID28835273
PMCPMC5569532
OpenAlexW2746229306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.