Implementing Systematic Patient-Reported Measures for Chronic Conditions Through the Naveta Value-Based Telemedicine Initiative: Observational Retrospective Multicenter Study.

Autor:	Mercadal-Orfila G; Pharmacy Department, Hospital Mateu Orfila, Mahó, Spain.; Department of Biochemistry and Molecular Biology, Universitat de les Illes Balears, Mallorca, Spain., Herrera-Pérez S; Facultad de Ciencias de la Salud, Universidad Internacional de Valencia, Valencia, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain., Piqué N; Microbiology Section, Department of Biology, Healthcare and Environment, Faculty of Pharmacy and Food Sciences, Universitat de Barcelona, Barcelona, Spain.; Research Institute of Nutrition and Food Safety (INSA-UB), Universitat de Barcelona, Barcelona, Spain., Mateu-Amengual F; Healthcare Industry Solutions at MongoDB - Digital Health & Innovation, Barcelona, Spain., Ventayol-Bosch P; Pharmacy Department, Hospital Universitari Son Espases, Palma de Mallorca, Spain., Maestre-Fullana MA; Pharmacy Department, Hospital de Manacor, Manacor, Spain., Serrano-López de Las Hazas JI; Pharmacy Department, Hospital Universitari Son Llàtzer, Palma de Mallorca, Spain., Fernández-Cortés F; Pharmacy Department, Hospital Comarcal d'Inca, Inca, Spain., Barceló-Sansó F; Pharmacy Department, Hospital Can Misses, Eivissa, Spain., Rios S; Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.
Jazyk:	angličtina
Zdroj:	JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2024 Jun 28; Vol. 12, pp. e56196. Date of Electronic Publication: 2024 Jun 28.
DOI:	10.2196/56196
Abstrakt:	Background: Patient-reported outcome and experience measures can play a critical role in providing patient-centered and value-based health care to a growing population of patients who are chronically ill. Value-based telemedicine platforms such as the Naveta initiative may facilitate the effective integration of these tools into health care systems. Objective: This study aims to evaluate the response rate to electronic patient-reported outcome measures (ePROMs) and electronic patient-reported experience measures (ePREMs) among patients participating in the Naveta telemedicine initiative and its correlations with sociodemographic and clinical characteristics, as well as the evolution of the response rates over time. Methods: Between January 1, 2021, and June 30, 2023, a total of 53,364 ePREMs and ePROMs for 20 chronic conditions were administered through the Naveta-Phemium platform. Descriptive statistics were used to summarize continuous and categorical variables. Differences in response rates within each sociodemographic variable were analyzed using logistic regression models, with significance assessed via chi-square and post hoc Tukey tests. Two-way ANOVA was used to examine the interaction between time interval and disease type on response rate evolution. Results: A total of 3372 patients with severe chronic diseases from 64 public hospitals in Spain participated in the Naveta health questionnaire project. The overall response rate to ePROMs and ePREMs during the first 2.5 years of the Naveta initiative was 46.12% (24,704/53,364), with a baseline rate of 53.33% (7198/13,496). Several sociodemographic factors correlated with lower response rates, including male gender, older age, lower education level, frequent alcohol use, being a student, and not being physically active. There were also significant variations in response rates among different types of chronic conditions (P<.001), with the highest rates being for respiratory (433/606, 71.5%), oncologic (200/319, 62.7%), digestive (2247/3601, 62.4%), and rheumatic diseases (7506/12,982, 57.82%) and the lowest being for HIV infection (7473/22,695, 32.93%). During the first 6 months of follow-up, the response rates decreased in all disease types, except in the case of the group of patients with oncologic disease, among whom the response rate increased up to 100% (6/6). Subsequently, the overall response rate approached baseline levels. Conclusions: Recognizing the influence of sociodemographic factors on response rates is critical to identifying barriers to participation in telemonitoring programs and ensuring inclusiveness in patient-centered health care practices. The observed decline in response rates at follow-up may be due to survey fatigue, highlighting the need for strategies to mitigate this effect. In addition, the variation in response rates across chronic conditions emphasizes the importance of tailoring telemonitoring approaches to specific patient populations. (©Gabriel Mercadal-Orfila, Salvador Herrera-Pérez, Núria Piqué, Francesc Mateu-Amengual, Pedro Ventayol-Bosch, María Antonia Maestre-Fullana, Joaquín Ignacio Serrano-López de las Hazas, Francisco Fernández-Cortés, Francesc Barceló-Sansó, Santiago Rios. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 28.06.2024.)
Databáze:	MEDLINE
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