ArticleJMIR nursing2020
Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study.
Article in JMIR nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05543720 (Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring), which is not on this map. Cited by 12 papers, 3 of them syntheses that pooled 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.
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.
Nurse-led Integrated Care of Complex Patients Facilitated By Telemonitoring: The Safe, Managed, and Responsive Transitions (SMaRT) Study
Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Patients' Experiences of Nurse-Led eHealth Interventions for Chronic Heart Failure: Qualitative Systematic Review and Meta-Synthesis.Journal of medical Internet research · 2026Pooled it
- A realist review of factors critical for the implementation of eHealth in chronic disease management.BMC health services research · 2025Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Challenges of Telemonitoring Programs for Complex Chronic Conditions: Randomized Controlled Trial With an Embedded Qualitative Study.Journal of medical Internet research · 2022Trial
- Creating a service system architecture for people living with multiple long-term conditions.Future healthcare journal · 2026Article
- Nurse-supported self-monitoring of serum urate by gout patients using a treat-to-target approach: a feasibility study.Rheumatology advances in practice · 2026Article
- Remotely Monitored Patients' Experiences of the Interpersonal Patient-Nurse Relationship: A Scoping Review.Scandinavian journal of caring sciences · 2025Article
- Translational framework for implementation evaluation and research: implementation strategies derived from normalization process theory.Implementation science : IS · 2025Article
- Nurses' perspectives on the use of telemonitoring in the management of people with diabetes and hypertension.Revista brasileira de enfermagem · 2025Article
- Feasibility and Acceptability of an Internet of Things-Enabled Sedentary Behavior Intervention: Mixed Methods Study.Journal of medical Internet research · 2023Article
- CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.IEEE journal of translational engineering in health and medicine · 2023Article
- Normalizing Telemonitoring in Nurse-Led Care Models for Complex Chronic Patient Populations: Case Study.JMIR nursing · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTelemonitoring (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.
objectiveThis study aims to evaluate the feasibility and patients' perceived usefulness of a multi-condition TM platform in a nurse-led model of care.
methodsA 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.
resultsIn 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.
conclusionsMulti-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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.