Evidence map›Paper›PMID 28882908›Full record

ArticleBMJ open2017

What are the key contextual factors when preparing for successful implementation of assistive living technology in primary elderly care? A case study from Norway.

Martha Therese Gjestsen, Siri Wiig, Ingelin Testad

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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3 · Its place in the literature

Who cites it

12 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

3 authors.

Martha Therese GjestsenCentre for Age-related Medicine, Stavanger University Hospital, Stavanger, Norway.
Siri WiigDepartment of Health Studies, University of Stavanger, Stavanger, Norway.
Ingelin TestadCentre for Age-related Medicine, Stavanger University Hospital, Stavanger, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify contextual factors at different organisational levels to guide the implementation of an assistive living technology intervention in Norwegian primary home care.

designA single embedded case study design was carried out in an urban municipality in Western Norway to get an overview of key contextual factors from the municipality's perspective. DATA COLLECTION AND ANALYSIS: The data collection was based on a triangulation of methods involving document analysis, semi-structured individual interviews and focus group interviews to get a broad insight when preparing for an intervention. Data were collected on three levels of the healthcare system: (1) national policy documents and regulations (macro), (2) five individual interviews with senior managers and municipal strategy documents (meso) and (3) two focus group interviews with nurses and nurse managers in direct patient care (micro). The Model for Understanding Success in Quality framework was used as a guide in the data analysis.

resultsThe main contextual factors identified were external motivators and project sponsorship (macro level); leadership, workforce focus and maturity (meso level);and motivation to change and maturity (micro level). Strategies developed in policy documents affected upper management in the municipality, but healthcare personnel at the micro level were not so familiar with strategies and emphasis on assistive living technologies. Healthcare personnel in our study were motivated to use technological solutions, but lack of data infrastructure and resource availability hindered this.

conclusionsAligning interests across multiple stakeholders remain a challenge when planning for an assistive living technology intervention in primary care. In the studied municipality, integration of technological solutions into healthcare services was more a vision than a reality because of a low level of organisational readiness.

Indexed as

Self-Help DevicesAgedDelivery of Health CareFocus GroupsHealth PersonnelHome Care ServicesHumansInterviews as TopicLeadershipNorwayPolicyPrimary Health CareQualitative Researchhealth informaticshealth services researchqualitative research

Identifiers

PMID28882908
PMCPMC5595176

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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.