Evidence map›Paper›PMID 33216004›Full record

ArticleJMIR mHealth and uHealth2020

Implementing Mobile Health-Enabled Integrated Care for Complex Chronic Patients: Patients and Professionals' Acceptability Study.

Jordi de Batlle, Mireia Massip, Eloisa Vargiu, Nuria Nadal, Araceli Fuentes, Marta Ortega Bravo, Jordi Colomina, Reis Drudis, Montserrat Torra, Francesc Pallisó and 4 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Digital Tools to Support Postpartum Recovery: A Systematic Review.Women's health reports (New Rochelle, N.Y.) · 2025
    Review
  8. Article
  9. Article
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  14. Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024
    Article
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  20. Observational
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

14 authors at 6 institutions in 1 country.

Jordi de BatlleGroup of Translational Research in Respiratory Medicine, Institut de Recerca Biomedica de Lleida, Lleida, Spain.ORCID 0000-0003-3500-6608
Mireia MassipGroup of Translational Research in Respiratory Medicine, Institut de Recerca Biomedica de Lleida, Lleida, Spain.ORCID 0000-0002-1646-5756
Eloisa VargiueHealth Unit, Eurecat, Centre Tecnòlogic de Catalunya, Barcelona, Spain.ORCID 0000-0002-3840-628X
Nuria NadalGerència Territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain.ORCID 0000-0001-8075-8281
Araceli FuentesAtenció Primària Àmbit Lleida, Lleida, Spain.ORCID 0000-0002-3127-8553
Marta Ortega BravoResearch Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Lleida, Spain.ORCID 0000-0002-0765-6841
Jordi ColominaServei de Cirurgia Ortopèdica i Traumatologia, Hospital de Santa Maria de Lleida, Lleida, Spain.ORCID 0000-0001-5265-256X
Reis DrudisUnitat de Dolor Agut, Hospital de Santa Maria de Lleida, Lleida, Spain.ORCID 0000-0003-1999-7608
Montserrat TorraUnitat de Dolor Agut, Hospital de Santa Maria de Lleida, Lleida, Spain.ORCID 0000-0002-2126-0026
Francesc PallisóServei de Cirurgia Ortopèdica i Traumatologia, Hospital de Santa Maria de Lleida, Lleida, Spain.ORCID 0000-0002-9645-6461
Felip MiralleseHealth Unit, Eurecat, Centre Tecnòlogic de Catalunya, Barcelona, Spain.ORCID 0000-0002-6917-6691
Ferran BarbéGroup of Translational Research in Respiratory Medicine, Institut de Recerca Biomedica de Lleida, Lleida, Spain.ORCID 0000-0002-2340-8928
Gerard TorresGroup of Translational Research in Respiratory Medicine, Institut de Recerca Biomedica de Lleida, Lleida, Spain.ORCID 0000-0002-1417-7320
CONNECARE-Lleida Group *Institut de Recerca Biomedica de Lleida, Lleida, Spain.
Hospital Universitari de Santa Maria · ESCentre for Biomedical Network Research on Rare Diseases · ESCentre Tecnologic de Telecomunicacions de Catalunya · ESUniversitat de Lleida · ESInstitut Català de la Salut · ESInstituto de Investigación Biomédica de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Delivery of Health Care, IntegratedPatient Acceptance of Health CareTelemedicineActivities of Daily LivingAgedFemaleHumansMaleMiddle AgedProspective StudiesSpainchronic diseaseseHealthhealth plan implementationmHealthpatient acceptance of health carepatient satisfaction

Identifiers

PMID33216004
PMCPMC7718089
OpenAlexW3104113933

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.