Evidence map›Paper›PMID 37468953›Full record

ArticleBMC health services research2023

Beyond Plan-Do-Study-Act cycle - staff perceptions on facilitators and barriers to the implementation of telepresence robots in long-term care.

Joey Wong, Erika Young, Lillian Hung, Jim Mann, Lynn Jackson

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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.

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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Participation in the digital transformation of healthcare: a review of qualitative studies.International journal of health care quality assurance · 2024
    Pooled it
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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

5 authors.

Joey WongUBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada. joey.wong@ubc.ca.ORCID http://orcid.org/0000-0003-2181-6255
Erika YoungUBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada.
Lillian HungUBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada.
Jim MannUBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada.
Lynn JacksonUBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada.

Funding

Vancouver Foundation Vancouver FoundationVancouver General Hospital Foundation Vancouver General Hospital Foundation
6 · The paper itself

Abstract

backgroundQuality improvement (QI) programs with technology implementations have been introduced to long-term care (LTC) to improve residents' quality of life. Plan-Do-Study-Act (PDSA) cycle is commonly adopted in QI projects. There should be an appropriate investment of resources to enhance learning from iterative PDSA cycles. Recently, scholars explored possibilities of implementation science (IS) with QI methods to increase QI projects' generalisability and make them more widely applicable in other healthcare contexts. To date, scant examples demonstrate the complementary use of the two methods in QI projects involving technology implementation. This qualitative study explores staff and leadership teams' perspectives on facilitators and barriers of a QI project to implement telepresence robots in LTC guided by the Consolidated Framework for Implementation Research (CFIR).

methodsWe employed purposive and snowballing methods to recruit 22 participants from two LTC in British Columbia, Canada: operational and unit leaders and interdisciplinary staff, including nursing staff, care aides, and allied health practitioners. CFIR was used to guide data collection and analysis. Semi-structured interviews and focus groups were conducted through in-person and virtual meetings. Thematic analysis was employed to generate insights into participants' perspectives.

resultsOur analysis identified three themes: (a) The essential needs for family-resident connections, (b) Meaningful engagement builds partnership, and (c) Training and timely support gives confidence. Based on the findings and CFIR guidance, we demonstrate how to plan strategies in upcoming PDSA cycles and offer an easy-to-use tool 'START' to encourage the practical application of evidence-based strategies in technology implementation: Share benefits and failures; Tailor planning with staff partners; Acknowledge staff concerns; Recruit opinion leaders early; and Target residents' needs.

conclusionsOur study offers pragmatic insights into the complementary application of CFIR with PDSA methods in QI projects on implementing technologies in LTC. Healthcare leaders should consider evidence-based strategies in implementing innovations beyond PDSA cycles.

Indexed as

Long-Term CareRoboticsBritish ColumbiaDelivery of Health CareHumansQuality of LifeConsolidated framework for implementation researchHealthcareImplementation scienceInnovationsOlder adultsQualitativeQuality improvementTechnologyVirtual communication

Identifiers

PMID37468953
PMCPMC10357815

What OpenQuestion holds

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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.