Evidence map›Paper›PMID 39166216›Full record

ArticleInternational journal of nursing studies advances2024

Acceptability and usability of a nurse-assisted remote patient monitoring intervention for the post-hospital follow-up of patients with long-term illness: A qualitative study.

Hege Wathne, Carl May, Ingvild Margreta Morken, Marianne Storm, Anne Marie Lunde Husebø

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Article in International journal of nursing studies advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

5 authors.

Hege WathneDepartment of Public Health, University of Stavanger, Faculty of Health Science, Stavanger, Norway.
Carl MayFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Ingvild Margreta MorkenDepartment of Quality and Health Technologies, University of Stavanger, Faculty of Health Science, Stavanger, Norway.
Marianne StormDepartment of Public Health, University of Stavanger, Faculty of Health Science, Stavanger, Norway.
Anne Marie Lunde HusebøDepartment of Public Health, University of Stavanger, Faculty of Health Science, Stavanger, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients living with long-term chronic illnesses often need ongoing medical attention, lifestyle adjustments, and psychosocial support beyond the initial diagnosis and treatment phases. Many experience illness deterioration and subsequently require hospitalisation, especially in the transition period after hospital discharge. A promising strategy for managing long-term conditions is promoting self-management. eHealth interventions involving remote patient monitoring have the potential to promote self-management and offer a more seamless bridge between the hospital and the patient´s home environment. However, such interventions can only significantly impact health and health care if they are effective, accepted and adopted by users, normalised into routine practice and everyday life, and able to be widely implemented. Feasibility studies are used to determine whether an intervention is suitable for the target population and effective in achieving its intended goal. They may also provide critical information about an intervention´s acceptability and usability. Objectives: We aimed to evaluate the acceptability and usability of a nurse-assisted remote patient monitoring intervention for the post-hospital follow-up of patients with long-term illnesses by use of the core constructs of normalisation process theory. Design: A descriptive and explanatory qualitative approach was used, with patients observed during training and semi-structured interviews conducted with patients and nurses after study completion. Settings: Participants were recruited from two university hospitals in Norway between December 2021 and February 2023. Participants: Ten patients were observed during training, and 27 patients and eight nurses were interviewed after study completion. Methods: Structured and overt observations were made while the patients received training to operate the remote patient monitoring service, guided by an observation guide. Semi-structured interviews were conducted with patients and nurse navigators about their experiences of remote follow-up care, guided by open ended questions. Data analysis followed a stepwise deductive inductive method. Results: `Achieving acceptance and usability through digital social interaction´ emerged as a unifying theme that bridged the experiences of patients with long-term illnesses and the nurse navigators. This overarching theme was illustrated by four sub-themes, which all reflected the usability and acceptability of the nurse-assisted remote patient monitoring service in various ways. Conclusion: Acceptability and usability are critical factors to consider when evaluating remote patient monitoring interventions. In this study, the most important feature for promoting acceptability and usability was the interaction between patients and nurse navigators. Therefore, the intervention´s feasibility and implementation potential rested upon the relationship between its deliverer and receiver.

Indexed as

AcceptabilityFeasibilityLong-term illnessNormalisation process theoryNursing researchQualitative researchRemote patient monitoringUsability

Identifiers

PMID39166216
PMCPMC11334779

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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.