ArticleJMIR mHealth and uHealth2020
Implementing Mobile Health-Enabled Integrated Care for Complex Chronic Patients: Patients and Professionals' Acceptability Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Can integrated care interventions strengthen primary care and improve outcomes for patients with chronic diseases? A systematic review and meta-analysis.Health research policy and systems · 2025Pooled it
- Pooled it
- Implementing mHealth-Enabled Integrated Care for Complex Chronic Patients With Osteoarthritis Undergoing Primary Hip or Knee Arthroplasty: Prospective, Two-Arm, Parallel Trial.Journal of medical Internet research · 2021Trial
- Impact of mHealth on Medication Adherence in Older Adults with Chronic Diseases Facing Treatment Burden: A Systematic Review.Geriatrics (Basel, Switzerland) · 2026Review
- Experiences of a remote, person-centred intervention in older persons living with frailty - a qualitative study.BMC geriatrics · 2025Article
- How Well Do Older Adult Fitness Technologies Match User Needs and Preferences? Scoping Review of 2014-2024 Literature.Journal of medical Internet research · 2025Article
- Digital Tools to Support Postpartum Recovery: A Systematic Review.Women's health reports (New Rochelle, N.Y.) · 2025Review
- Current Implementation of Digital Health in Chronic Disease Management: Scoping Review.Journal of medical Internet research · 2024Article
- Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.Interactive journal of medical research · 2024Article
- Design and development of a mobile health intervention for rehabilitation support after knee arthroplasty: TeleRehabilitation after knee ArThroplasty (TReAT) project.BMC musculoskeletal disorders · 2024Article
- A home-based tele-rehabilitation exercise system for patients after knee replacement surgery.BMC musculoskeletal disorders · 2024Article
- Mobile and Computer-Based Applications for Rehabilitation Monitoring and Self-Management After Knee Arthroplasty: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Person-Centered Coordinated Care Experience of People With Long-Term Conditions in the Balearic Islands Measured by the P3CEQ.Health services insights · 2024Article
- Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024Article
- Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study.JMIR formative research · 2023Article
- Usability evaluation of mHealth apps for elderly individuals: a scoping review.BMC medical informatics and decision making · 2022Article
- Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review.JMIR cardio · 2022Article
- Interventions addressing functional abilities of older people in rural and remote areas: a scoping review of available evidence based on WHO functional ability domains.BMC geriatrics · 2022Article
- Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps.Health economics · 2022Article
- The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment-experiences of patients and clinicians.Arthritis research & therapy · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntegrated care (IC) can promote health and social care efficiency through prioritization of preventive patient-centered models and defragmentation of care and collaboration across health tiers, and mobile health (mHealth) can be the cornerstone allowing for the adoption of IC.
objectiveThis study aims to assess the acceptability, usability, and satisfaction of an mHealth-enabled IC model for complex chronic patients in both patients and health professionals.
methodsAs part of the CONNECARE Horizon 2020 project, a prospective, pragmatic, 2-arm, parallel, hybrid effectiveness-implementation trial was conducted from July 2018 to August 2019 in a rural region of Catalonia, Spain. Home-dwelling patients 55 years and older with chronic conditions and a history of hospitalizations for chronic obstructive pulmonary disease or heart failure (use case [UC] 1), or a scheduled major elective hip or knee arthroplasty (UC2) were recruited. During the 3 months, patients experienced an mHealth-enabled IC model, including a self-management app for patients, a set of integrated sensors, and a web-based platform connecting professionals from different settings or usual care. The Person-Centered Coordinated Care Experience Questionnaire (P3CEQ) and the Nijmegen Continuity Questionnaire (NCQ) assessed person-centeredness and continuity of care. Acceptability was assessed for IC arm patients and staff with the Net Promoter Score (NPS) and the System Usability Scale (SUS).
resultsThe analyses included 77 IC patients, 58 controls who completed the follow-up, and 30 health care professionals. The mean age was 78 (SD 9) years in both study arms. Perception of patient-centeredness was similarly high in both arms (usual care: mean P3CEQ score 16.1, SD 3.3; IC: mean P3CEQ score 16.3, SD 2.4). IC patients reported better continuity of care than controls (usual care: mean NCQ score 3.7, SD 0.9; IC: mean NCQ score 4.0, SD 1; P=.04). The scores for patient acceptability (UC1: NPS +67%; UC2: NPS +45%) and usability (UC1: mean SUS score 79, SD 14; UC2: mean SUS score 68, SD 24) were outstanding. Professionals' acceptability was low (UC1: NPS -25%; UC2: NPS -35%), whereas usability was average (UC1: mean SUS score 63, SD 20; UC2: mean SUS score 62, SD 19). The actual use of technology was high; 77% (58/75) of patients reported physical activity for at least 60 days, and the ratio of times reported over times prescribed for other sensors ranged from 37% for oxygen saturation to 67% for weight.
conclusionsThe mHealth-enabled IC model showed outstanding results from the patients' perspective in 2 different UCs but lacked maturity and integration with legacy systems to be fully accepted by professionals. This paper provides useful lessons learned through the development and assessment process and may be of use to organizations willing to develop or implement mHealth-enabled IC for older adults.
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