Evidence map›Paper›PMID 33034565›Full record

ArticleJournal of medical Internet research2020

Evaluating the Implementation of a Remote-Monitoring Program for Chronic Obstructive Pulmonary Disease: Qualitative Methods from a Service Design Perspective.

Florence van Lieshout, Rebecca Yang, Vess Stamenova, Payal Agarwal, Daniel Cornejo Palma, Aman Sidhu, Katrina Engel, Adam Erwood, R Sacha Bhatia, Onil Bhattacharyya and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. 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

11 authors.

Florence van LieshoutUniversity of Amsterdam, Amsterdam, Netherlands.ORCID 0000-0001-6679-0349
Rebecca YangWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0002-3181-7799
Vess StamenovaWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0003-3252-7766
Payal AgarwalWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0001-5625-7532
Daniel Cornejo PalmaWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0003-2758-7705
Aman SidhuWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0002-4817-1533
Katrina EngelMarkham Stoufville Hospital, Markham, ON, Canada.ORCID 0000-0003-3160-8222
Adam ErwoodMarkham Stoufville Hospital, Markham, ON, Canada.ORCID 0000-0003-2382-4750
R Sacha BhatiaWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0001-6206-5318
Onil BhattacharyyaWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0001-5219-7288
James ShawWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.ORCID 0000-0002-9522-0756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementing digital health technologies is complex but can be facilitated by considering the features of the tool that is being implemented, the team that will use it, and the routines that will be affected.

objectiveThe goal of this study was to assess the implementation of a remote-monitoring initiative for patients with chronic obstructive pulmonary disease in Ontario, Canada using the Tool+Team+Routine framework and to refine this approach to conceptualize the adoption of technologies in health care.

methodsThis study was a qualitative research project that took place alongside a randomized controlled trial comparing a technology-enabled self-monitoring program with a technology-enabled self- and remote-monitoring program in patients with chronic obstructive pulmonary disease and with standard care. This study included interviews with 5 remote-monitoring patients, 3 self-monitoring patients, 2 caregivers, 5 health care providers, and 3 hospital administrators. The interview questions were structured around the 3 main concepts of the Tool+Team+Routine framework.

resultsFindings emphasized that (1) technologies can alter relationships between providers and patients, and that these relationships drove the development of a new service arising from the technology, in our case, and (2) technologies can create additional work that is not visible to management as a result of not being considered within the scope of the service.

conclusionsLiterature on the implementation of digital health technologies has still not reconciled the importance of interpersonal relationships to conventional implementation strategies. By acknowledging the centrality of such relationships, implementation teams can better plan for the adaptations required in order to make new technologies work for patients and health care providers. Further work will need to address how specific individuals administering a remote-monitoring program work to build relationships, and how these relationships and other sources of activity might lead to technological scope creep-an unanticipated expanding scope of work activities in relation to the function of the tool.

Indexed as

FemaleHumansMaleMonitoring, PhysiologicPulmonary Disease, Chronic ObstructiveQualitative ResearchRemote ConsultationTelemedicinedigital healthimplementation scienceinnovationremote monitoringservice designtelemedicine

Identifiers

PMID33034565
PMCPMC7584983

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.