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Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study.
Liu, Andrew W; Brown Iii, William; Madu, Ndubuisi E; Maiorano, Ali R; Bigazzi, Olivia; Medina, Eli; Sorric, Christopher; Hays, Steven R; Odisho, Anobel Y.
Afiliação
  • Liu AW; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
  • Brown Iii W; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
  • Madu NE; Department of Medicine, University of California, San Francisco, CA, United States.
  • Maiorano AR; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States.
  • Bigazzi O; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, United States.
  • Medina E; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
  • Sorric C; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
  • Hays SR; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
  • Odisho AY; Center for Digital Health Innovation, University of California, San Francisco, CA, United States.
JMIR Mhealth Uhealth ; 12: e51236, 2024 Mar 20.
Article em En | MEDLINE | ID: mdl-38506896
ABSTRACT

BACKGROUND:

Patient engagement attrition in mobile health (mHealth) remote patient monitoring (RPM) programs decreases program benefits. Systemic disparities lead to inequities in RPM adoption and use. There is an urgent need to understand patients' experiences with RPM in the real world, especially for patients who have stopped using the programs, as addressing issues faced by patients can increase the value of mHealth for patients and subsequently decrease attrition.

OBJECTIVE:

This study sought to understand patient engagement and experiences in an RPM mHealth intervention in lung transplant recipients.

METHODS:

Between May 4, 2020, and November 1, 2022, a total of 601 lung transplant recipients were enrolled in an mHealth RPM intervention to monitor lung function. The predictors of patient engagement were evaluated using multivariable logistic and linear regression. Semistructured interviews were conducted with 6 of 39 patients who had engaged in the first month but stopped using the program, and common themes were identified.

RESULTS:

Patients who underwent transplant more than 1 year before enrollment in the program had 84% lower odds of engaging (odds ratio [OR] 0.16, 95% CI 0.07-0.35), 82% lower odds of submitting pulmonary function measurements (OR 0.18, 95% CI 0.09-0.33), and 78% lower odds of completing symptom checklists (OR 0.22, 95% CI 0.10-0.43). Patients whose primary language was not English had 78% lower odds of engaging compared to English speakers (OR 0.22, 95% CI 0.07-0.67). Interviews revealed 4 prominent themes challenges with devices, communication breakdowns, a desire for more personal interactions and specific feedback with the care team about their results, understanding the purpose of the chat, and understanding how their data are used.

CONCLUSIONS:

Care delivery and patient experiences with RPM in lung transplant mHealth can be improved and made more equitable by tailoring outreach and enhancements toward non-English speakers and patients with a longer time between transplant and enrollment. Attention to designing programs to provide personalization through supplementary provider contact, education, and information transparency may decrease attrition rates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Participação do Paciente / Telemedicina Limite: Humans Idioma: En Revista: JMIR Mhealth Uhealth Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Participação do Paciente / Telemedicina Limite: Humans Idioma: En Revista: JMIR Mhealth Uhealth Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Canadá