Development and preliminary results of an Electronic Medical Record (EMR)-integrated smartphone telemedicine program to deliver asthma care remotely.


Journal

Journal of telemedicine and telecare
ISSN: 1758-1109
Titre abrégé: J Telemed Telecare
Pays: England
ID NLM: 9506702

Informations de publication

Date de publication:
May 2021
Historique:
pubmed: 24 8 2019
medline: 1 5 2021
entrez: 24 8 2019
Statut: ppublish

Résumé

Technology-based interventions that can function within real-world practice and improve outcomes We used a contextually grounded intervention development approach and May's implementation theory to design the intervention, with emphasis on systems capabilities and stakeholder needs. The intervention incorporated symptom monitoring by smartphone, smartphone telemedicine visits and self-management training with a nurse, and clinical decision-support software, which provided automated calculations of asthma severity, control and step-wise therapy. Seven adults (aged 18-40 y) engaged in a 3-month beta-test. Asthma outcomes (control, quality of life, FEV Each participant averaged four telemedicine visits (94% patient satisfaction). All participants had uncontrolled asthma at baseline; end-of-study 5/7 classified as well-controlled. Mean asthma control improved 1.55 points (CI = 0.59-2.51); quality of life improved 1.91 points (CI = 0.50-3.31), FEV Smartphone telemedicine may be an effective means to improve outcomes and deliver asthma care remotely. However, careful attention to systems capabilities and stakeholder acceptability is needed to ensure successful integration with practice.

Identifiants

pubmed: 31438761
doi: 10.1177/1357633X19870025
doi:

Banques de données

ClinicalTrials.gov
['NCT03648203']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

217-230

Auteurs

Jennifer R Mammen (JR)

University of Rhode Island, College of Nursing, Kingston, RI, USA.
University of Rochester School of Nursing, Rochester, NY, USA.

James J Java (JJ)

Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.

Jill Halterman (J)

University of Rochester School of Medicine, Department of Pediatrics, Rochester NY, USA.

Marc N Berliant (MN)

University of Rochester School of Medicine, Department of Internal Medicine, Rochester NY, USA.

Amber Crowley (A)

University of Rochester School of Medicine, Department of Internal Medicine, Rochester NY, USA.

Sean M Frey (SM)

University of Rochester School of Medicine, Department of Pediatrics, Rochester NY, USA.

Marina Reznik (M)

Albert Einstein College of Medicine, Children's Hospital at Montefiore, Department of Pediatrics, Bronx, NY, USA.

Jonathan M Feldman (JM)

Albert Einstein College of Medicine, Children's Hospital at Montefiore, Department of Pediatrics, Bronx, NY, USA.
Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.

Judith D Schoonmaker (JD)

University of Rochester School of Nursing, Rochester, NY, USA.

Kimberly Arcoleo (K)

The Center for Innovation in Pediatric Practice, Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
The Ohio State University College of Medicine, Department of Pediatrics, Columbus, OH, USA.

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Classifications MeSH