Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep 29;3(1):e22118.
doi: 10.2196/22118.

Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study

Affiliations

Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study

Kayleigh Gordon et al. JMIR Nurs. .

Erratum in

Abstract

Background: Telemonitoring (TM) interventions have been designed to support care delivery and engage patients in their care at home, but little research exists on TM of complex chronic conditions (CCCs). Given the growing prevalence of complex patients, an evaluation of multi-condition TM is needed to expand TM interventions and tailor opportunities to manage complex chronic care needs.

Objective: This study aims to evaluate the feasibility and patients' perceived usefulness of a multi-condition TM platform in a nurse-led model of care.

Methods: A pragmatic, multimethod feasibility study was conducted with patients with heart failure (HF), hypertension (HTN), and/or diabetes. Patients were asked to take physiological readings at home via a smartphone-based TM app for 6 months. The recommended frequency of taking readings was dependent on the condition, and adherence data were obtained through the TM system database. Patient questionnaires were administered, and patient interviews were conducted at the end of the study. An inductive analysis was performed, and codes were then mapped to the normalization process theory and Implementation Outcomes constructs by Proctor.

Results: In total, 26 participants were recruited, 17 of whom used the TM app for 6 months. Qualitative interviews were conducted with 14 patients, and 8 patients were interviewed with their informal caregiver present. Patient adherence was high, with patients with HF taking readings on average 76.6% (141/184) of the days they were asked to use the system and patients with diabetes taking readings on average 72% (19/26) of the days. The HTN adherence rate was 55% (29/52) of the days they were asked to use the system. The qualitative findings of the patient experience can be grouped into 4 main themes and 13 subthemes. The main themes were (1) making sense of the purpose of TM, (2) engaging and investing in TM, (3) implementing and adopting TM, and (4) perceived usefulness and the perceived benefits of TM in CCCs.

Conclusions: Multi-condition TM in nurse-led care was found to be feasible and was perceived as useful. Patients accepted and adopted the technology by demonstrating a moderate to high level of adherence across conditions. These results demonstrate how TM can address the needs of patients with CCCs through virtual TM assessments in a nurse-led care model by supporting patient self-care and keeping patients connected to their clinical team.

Keywords: adherence; complex patients; implementation; mobile phone; normalization process theory; patient experience; telemonitoring.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Screenshots of the Medly app for patients with a complex chronic condition.
Figure 2
Figure 2
Total number of blood pressure readings on the hypertension modules. BP: blood pressure.
Figure 3
Figure 3
Total number of blood glucose readings on the diabetes mellitus modules. BG: blood glucose.
Figure 4
Figure 4
Mapping normalization process theory to Proctor’s Implementation Outcomes in a feasibility study to evaluate multi-condition in nurse-led care.

Similar articles

Cited by

References

    1. Marengoni A, Angleman S, Melis R, Mangialasche F, Karp A, Garmen A, Meinow B, Fratiglioni L. Aging with multimorbidity: A systematic review of the literature. Ageing Research Reviews. 2011 Sep;10(4):430–439. doi: 10.1016/j.arr.2011.03.003. - DOI - PubMed
    1. Sakib MN, Shooshtari S, St John P, Menec V. The prevalence of multimorbidity and associations with lifestyle factors among middle-aged Canadians: an analysis of Canadian Longitudinal Study on Aging data. BMC Public Health. 2019 Feb 28;19(1):243. doi: 10.1186/s12889-019-6567-x. https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-019-65... 10.1186/s12889-019-6567-x - DOI - DOI - PMC - PubMed
    1. Gruneir A, Bronskill SE, Maxwell CJ, Bai YQ, Kone AJ, Thavorn K, Petrosyan Y, Calzavara A, Wodchis WP. The association between multimorbidity and hospitalization is modified by individual demographics and physician continuity of care: a retrospective cohort study. BMC Health Serv Res. 2016 Apr 27;16:154. doi: 10.1186/s12913-016-1415-5. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-016-1... 10.1186/s12913-016-1415-5 - DOI - DOI - PMC - PubMed
    1. Mondor L, Maxwell CJ, Hogan DB, Bronskill SE, Gruneir A, Lane NE, Wodchis WP. Multimorbidity and healthcare utilization among home care clients with dementia in Ontario, Canada: A retrospective analysis of a population-based cohort. PLoS Med. 2017 Mar;14(3):e1002249. doi: 10.1371/journal.pmed.1002249. http://dx.plos.org/10.1371/journal.pmed.1002249 PMEDICINE-D-16-03111 - DOI - DOI - PMC - PubMed
    1. Skinner HG, Coffey R, Jones J, Heslin KC, Moy E. The effects of multiple chronic conditions on hospitalization costs and utilization for ambulatory care sensitive conditions in the United States: a nationally representative cross-sectional study. BMC Health Serv Res. 2016 Mar 1;16(1):1–8. doi: 10.1186/s12913-016-1304-y. - DOI - PMC - PubMed