Evidence map›Paper›PMID 34223893›Full record

ArticleTranslational behavioral medicine2022

Ethnography and user-centered design to inform context-driven implementation.

Emily R Haines, M Alexis Kirk, Lauren Lux, Andrew B Smitherman, Byron J Powell, Alex Dopp, Angela M Stover, Sarah A Birken

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Emily R HainesDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-7208-5937
M Alexis KirkCenterstone Research Institute, Nashville, TN, USA.
Lauren LuxUNC Adolescent and Young Adult Cancer Program, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA.
Andrew B SmithermanPediatric Hematology-Oncology, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA.
Byron J PowellBrown School and School of Medicine, Washington University in St. Louis, St. Louis, MO,USA.
Alex DoppRAND Corporation, Santa Monica, CA, USA.
Angela M StoverDepartment of Health Policy & Management, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sarah A BirkenDepartment of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Funding

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
Cancer Prevention And Control Training Grant (CAPACITY)T32CA122061 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRISTIE L FOLEY, Kathryn Elizabeth Weaver · 2019 to 2026
$2.1M
IMPROVING THE IMPLEMENTATION AND SUSTAINMENT OF EBPS IN MENTAL HEALTH: DEVELOPING AND PILOTING THE COLLABORATIVE ORGANIZATIONAL APPROACH TO SELECTING AND TAILORING IMPLEMENTATION STRATEGIES (COAST-ISK01MH113806 · NIMH · WASHINGTON UNIVERSITY · PI POWELL, BYRON JAMES · 2017 to 2020
$697k
NCATS NIH HHS KL2 TR002490NCI NIH HHS T32 CA122061NIMH NIH HHS K01 MH113806
6 · The paper itself

Abstract

Despite pervasive findings pointing to its inextricable role in intervention implementation, context remains poorly understood in implementation science. Existing approaches for describing context (e.g., surveys, interviews) may be narrow in scope or superficial in their elicitation of contextual data. Thus, in-depth and multilevel approaches are needed to meaningfully describe the contexts into which interventions will be implemented. Moreover, many studies assess context without subsequently using contextual information to enhance implementation. To be useful for improving implementation, though, methods are needed to apply contextual information during implementation. In the case example presented in this paper, we embedded an ethnographic assessment of context within a user-centered design approach to describe implementation context and apply that information to promote implementation. We developed a patient-reported outcome measure-based clinical intervention to assess and address the pervasive unmet needs of young adults with cancer: the Needs Assessment & Service Bridge (NA-SB). In this paper, we describe the user-centered design process that we used to anticipate context modifications needed to deliver NA-SB and implementation strategies needed to facilitate its implementation. Our ethnographic contextual inquiry yielded a rich understanding of local implementation context and contextual variation across potential scale-up contexts. Other methods from user-centered design (i.e., translation tables and a design team prototyping workshop) allowed us to translate that information into specifications for NA-SB delivery and a plan for implementation. Embedding ethnographic methods within a user-centered design approach can help us to tailor interventions and implementation strategies to their contexts of use to promote implementation.

Indexed as

Implementation ScienceUser-Centered DesignAnthropology, CulturalHumansNeeds AssessmentSurveys and QuestionnairesYoung AdultContextContext assessmentEthnographyEvidence-based practice implementationHuman-centered designUser-centered design

Identifiers

PMID34223893
PMCPMC8826991

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.