Evidence map›Paper›PMID 35319083›Full record

ArticleJournal of general internal medicine2022

Self-Organization of Interprofessional Staff to Improve Mobility of Hospitalized Patients with STRIDE: a Complexity Science-Informed Qualitative Study.

Rebecca A Bruening, Nina Sperber, Virginia Wang, Elizabeth Mahanna, Ashley Choate, Matthew Tucker, Leah L Zullig, Courtney Harold Van Houtven, Kelli D Allen, Susan N Hastings

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

10 authors.

Rebecca A BrueningADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Nina SperberADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA. nina.sperber@va.gov.ORCID 0000-0001-6640-2510
Virginia WangADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Elizabeth MahannaADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Ashley ChoateADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Matthew TuckerADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Leah L ZulligADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Courtney Harold Van HoutvenADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Kelli D AllenADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.
Susan N HastingsADAPT Center of Innovation, Durham VA Health Care System, 508 Fulton Street, Durham, NC, 27705, USA.

Funding

Optimizing Function and Independence QUERIIP1HX002258 · VA · DURHAM VA MEDICAL CENTER · PI ALLEN, KELLI D., HASTINGS, SUSAN NICOLE · 2020 to 2021
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HSRD VA CIN 13-410HSRD VA IP1 HX002258VA CIN 13-410VA QUE 20-023VA RCS-21-137
6 · The paper itself

Abstract

backgroundInpatient mobility programs can help older adults maintain function during hospitalization. Changing hospital practice can be complex and require engagement of various staff levels and disciplines; however, we know little about how interprofessional teams organize around implementing such interventions. Complexity science can inform approaches to understanding and improving multidisciplinary collaboration to implement clinical programs.

objectiveTo examine, through a complexity science lens, how clinical staff's understanding about roles in promoting inpatient mobility evolved during implementation of the STRIDE (assiSTed eaRly mobIlity for hospitalizeD older vEterans) hospital mobility program.

designQualitative study using semi-structured interviews.

participantsNinety-two clinical staff at eight Veterans Affairs hospitals.

interventionsSTRIDE is a supervised walking program for hospitalized older adults designed to maintain patients' mobility and function. APPROACH: We interviewed key staff involved in inpatient mobility efforts at each STRIDE site in pre- and post-implementation periods. Interviews elicited staff's perception of complexity-science aspects of inpatient mobility teams (e.g., roles over time, team composition). We analyzed data using complexity science-informed qualitative content analysis. KEY

resultsWe identified three key themes related to patterns of self-organization: (1) individuals outside of the "core" STRIDE team voluntarily assumed roles as STRIDE advocates, (2) leader-champions adapted their engagement level to match local implementation team needs during implementation, and (3) continued leadership support and physical therapy involvement were key factors for sustainment.

conclusionsStaff self-organized around implementation of a new clinical program in ways that were responsive to changing program and contextual needs. These findings demonstrate the importance of effective self-organization for clinical program implementation. Researchers and practitioners implementing clinical programs should allow for, and encourage, flexibility in staff roles in planning for implementation of a new clinical program, encourage the development of advocates, and engage leaders in program planning and sustainment efforts.

Indexed as

United States Department of Veterans AffairsVeteransAgedHumansLeadershipQualitative ResearchUnited StatesVeterans Healthcomplexity scienceimplementation scienceinpatient mobilityqualitative research

Identifiers

PMID35319083
PMCPMC9708971

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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.