Evidence map›Paper›PMID 37340472›Full record

ArticleBMC health services research2023

Patient safety and sense of security when telemonitoring chronic conditions at home: the views of patients and healthcare professionals - a qualitative study.

Mirjam Ekstedt, Espen S Nordheim, Amanda Hellström, Susanna Strandberg, Heidi Hagerman

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 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
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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

24 citing papers in PubMed, 2 syntheses or guidelines 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.

Mirjam Ekstedt *Faculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Universitetsplatsen 1, Kalmar/Växjö, 392 31, Sweden. mirjam.ekstedt@lnu.se.ORCID http://orcid.org/0000-0002-4108-391X
Espen S Nordheim *Faculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Universitetsplatsen 1, Kalmar/Växjö, 392 31, Sweden.ORCID http://orcid.org/0000-0002-3936-5168
Amanda HellströmFaculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Universitetsplatsen 1, Kalmar/Växjö, 392 31, Sweden.ORCID http://orcid.org/0000-0001-8398-9552
Susanna StrandbergFaculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Universitetsplatsen 1, Kalmar/Växjö, 392 31, Sweden.ORCID http://orcid.org/0000-0003-2150-3822
Heidi HagermanFaculty of Health and Life Sciences, Department of Health and Caring Sciences, Linnaeus University, Universitetsplatsen 1, Kalmar/Växjö, 392 31, Sweden.ORCID http://orcid.org/0000-0002-3381-5893

Funding

Kamprad Family Foundation for Entrepreneurship, Research and Charity 20190249
6 · The paper itself

Abstract

backgroundChronic diseases are increasing worldwide, and the complexity of disease management is putting new demands on safe healthcare. Telemonitoring technology has the potential to improve self-care management with the support of healthcare professionals for people with chronic diseases living at home. Patient safety threats related to telemonitoring and how they may affect patients' and healthcare professionals' sense of security need attention. This study aimed to explore patients' and healthcare professionals' experiences of safety and sense of security when using telemonitoring of chronic conditions at home.

methodsSemi-structured interviews were conducted with twenty patients and nine healthcare professionals (nurses and physicians), recruited from four primary healthcare centers and one medical department in a region in southern Sweden using telemonitoring service for chronic conditions in home healthcare.

resultsThe main theme was that experiences of safety and a sense of security were intertwined and relied on patients´ and healthcare professionals´ mutual engagement in telemonitoring and managing symptoms together. Telemonitoring was perceived to increase symptom awareness and promote early detection of deterioration promoting patient safety. A sense of security emerged through having someone keeping track of symptoms and comprised aspects of availability, shared responsibility, technical confidence, and empowering patients in self-management. The meeting with technology changed healthcare professionals' work processes, and patients' daily routines, creating patient safety risks if combined with low health- and digital literacy and a naïve reliance on technology. Empowering patients' self-management ability and improving shared understanding of the patient's health status and symptom management were prerequisites for safe care and the patient´s sense of security.

conclusionsTelemonitoring chronic conditions in the homecare context can promote a sense of security when care is co-created in a mutual understanding and responsibility. Attentiveness to the patient's health literacy, symptom management, and health-related safety behavior when using eHealth technology may enlighten and mitigate latent patient safety risks. A systems approach indicates that patient safety risks related to telemonitoring are not only associated with the patient's and healthcare professionals functioning and behavior or the human-technology interaction. Mitigating patient safety risks are likely also dependent on the complex management of home health and social care service.

Indexed as

Patient SafetyTelemedicineChronic DiseaseDelivery of Health CareHumansPatientsQualitative ResearchChronic diseaseCross-sectional studyHealth literacyHome healthcarePatient safetyPrimary healthcareSecuritySelf-managementTelemedicine

Identifiers

PMID37340472
PMCPMC10283165

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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.