Evidence map›Paper›PMID 25890333›Full record

ArticleBMC health services research2015

The interplay of contextual elements in implementation: an ethnographic case study.

Megan B McCullough, Ann F Chou, Jeffrey L Solomon, Beth Ann Petrakis, Bo Kim, Angela M Park, Ashley J Benedict, Alison B Hamilton, Adam J Rose

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Megan B McCulloughVA HSR&D Center for Healthcare Organization and Implementation Research, ENRM Veterans Hospital, Bedford, MA, USA. Megan.Mccullough@va.gov.
Ann F ChouThe University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Ann-Chou@ouhsc.edu.
Jeffrey L SolomonVA HSR&D Center for Healthcare Organization and Implementation Research, ENRM Veterans Hospital, Bedford, MA, USA. Jeffrey.Solomon@va.gov.
Beth Ann PetrakisVA HSR&D Center for Healthcare Organization and Implementation Research, ENRM Veterans Hospital, Bedford, MA, USA. BethAnn.Petrakis@va.gov.
Bo KimVA HSR&D Center for Healthcare Organization and Implementation Research, ENRM Veterans Hospital, Bedford, MA, USA. Bo.Kim@va.gov.
Angela M ParkVA New England Healthcare System, Bedford, MA, USA. Angela.Park@va.gov.
Ashley J BenedictVA Sunshine Healthcare Network, St. Petersburg, FL, USA. Ashley.Benedict@va.gov.
Alison B HamiltonVA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles, Los Angeles, CA, USA. alisonh@ucla.edu.
Adam J RoseVA HSR&D Center for Healthcare Organization and Implementation Research, ENRM Veterans Hospital, Bedford, MA, USA. Adam.Rose@va.gov.
Edith Nourse Rogers Memorial Veterans Hospital · USCenter for the Study of Healthcare Provider Behavior · USUniversity of Oklahoma Health Sciences Center · USVA New England Healthcare System · USVA Sunshine Healthcare Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContextual elements have significant impact on uptake of health care innovations. While existing conceptual frameworks in implementation science suggest contextual elements interact with each other, little research has described how this might look in practice. To bridge this gap, this study identifies the interconnected patterns among contextual elements that influence uptake of an anticoagulation clinic improvement initiative.

methodsWe completed 51 semi-structured interviews and ethnographic observations across five case study sites involved in an evidence-based practice (EBP) quality improvement initiative. We analyzed data in NVivo 10 using an a priori approach based on the Promoting Action on Research Implementation in Health Services (PARIHS) model and an emergent thematic analysis.

resultsKey contextual elements, such as leadership, teamwork, and communication, interacted with each other in contributing to site-level uptake of the EBP, often yielding results that could not be predicted by looking at just one of these elements alone. Sites with context conducive to change in these areas predictably had high uptake, while sites with uniformly weak contextual elements had low uptake. Most sites presented a mixed picture, with contextual elements being strongly supportive of change in some areas and weak or moderate in others. In some cases, we found that sites with strong context in at least one area only needed to have adequate context in other areas to yield high uptake. At other sites, weak context in just one area had the potential to contribute to low uptake, despite countervailing strengths. Even a site with positive views of EBPs could not succeed when context was weak.

conclusionInterrelationships among different contextual elements can act as barriers to uptake at some sites and as facilitators at others. Accounting for interconnections among elements enables PARIHS to more fully describe the determinants of successful implementation as they operate in real-world settings.

Indexed as

Cooperative BehaviorDiffusion of InnovationEvidence-Based PracticeQuality ImprovementDelivery of Health CareHealth Services ResearchHumansInterdisciplinary CommunicationInterviews as TopicLeadershipOrganizational Case StudiesQualitative Research

Identifiers

PMID25890333
PMCPMC4345021
OpenAlexW2162700031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.