Ruben Martin-Payo

Dr. Ruben Martin-Payo

University of Oviedo, Oviedo, Asturias, Spain
+1
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2019 in International Journal of Medical Informatics
Verified
Journal Article
Closed access
RMRuben Martin-Payo
Ruben Martin-Payo
MÁM.M. Fernandez Álvarez
M.M. Fernandez Álvarez
MBMaria Blanco-Diaz
Maria Blanco-Diaz
MIM. Cuesta Izquierdo
M. Cuesta Izquierdo
SSS.R. Stoyanov
S.R. Stoyanov
ESE. Llaneza Suárez
E. Llaneza Suárez

6 October 2021 in Journal of the American Medical Informatics Association
Verified
Journal Article
Closed access
RMRuben Martin-Payo
Ruben Martin-Payo
SCSergio Carrasco-Santos
Sergio Carrasco-Santos
MCMarcelino Cuesta
Marcelino Cuesta
SSStoyan Stoyan
Stoyan Stoyan
XGXana Gonzalez-Mendez
Xana Gonzalez-Mendez
MÁMARÍA DEL MAR FERNÁNDEZ ÁLVAREZ
MARÍA DEL MAR FERNÁNDEZ ÁLVAREZ
Objective: While the professional version of the Mobile App Rating Scale (MARS) has already been translated, and validated into the Spanish language, its user-centered counterpart has not yet been adapted. Furthermore, no other similar tools exist in the Spanish language. The aim of this paper is to adapt and validate User Version of the MARS (uMARS) into the Spanish language. Materials and Methods: Cross-cultural adaptation, translation, and metric evaluation. The internal consistency and test-retest reliability of the Spanish version of the uMARS were evaluated using the RadarCovid app. Two hundred and sixteen participants rated the app using the translated scale. The app was then rated again 2 weeks later by 21 of these participants to measure test-retest reliability. Results: No major differences were observed between the uMARS original and the Spanish version. Discrimination indices (item-scale correlation) obtained appropriate results for both raters. The Spanish uMARS presented with excellent internal consistency, α = .89 and .67 for objective and subjective quality, respectively, and temporal stability (r > 0.82 for all items and subscales). Discussion: The Spanish uMARS is a useful tool for health professionals to recommend high-quality mobile apps to their patients based on the user’s perspective and for researchers and app developers to use end-user feedback and evaluation, to help them identify highly appraised and valued components, as well as areas for further development, to continue ensuring the increasing quality and prominence of the area of mHealth. Conclusion: uMARS Spanish version is an instrument with adequate metric properties to assess the quality of health apps from the user perspective.

7 December 2017 in Clinical and Translational Oncology
Verified
Journal Article
Closed access
PDF file
ABAlberto Carmona Bayonas
Alberto Carmona Bayonas
PFPaula Jimenez Fonseca
Paula Jimenez Fonseca
AFAna Fernández-Somoano
Ana Fernández-Somoano
FÁF. Álvarez-Manceñido
F. Álvarez-Manceñido
ECE. Castañón
E. Castañón
LVL. P. Valiente
L. P. Valiente

17 November 2021 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
AMAranzazu Muñoz-Mancisidor
Aranzazu Muñoz-Mancisidor
RMRuben Martin-Payo
Ruben Martin-Payo
XGXana Gonzalez-Mendez
Xana Gonzalez-Mendez
MÁMARÍA DEL MAR FERNÁNDEZ ÁLVAREZ
MARÍA DEL MAR FERNÁNDEZ ÁLVAREZ
Background: Women consult information in mobile apps (apps) during pregnancy, and even obstetrics specialists highlight that pregnancy is the ideal moment for the use of apps as consultation sources. However, the high number of apps designed for pregnancy requires a careful assessment to determine their suitability before recommendation. Objective: The aim of this study is to identify the apps available in Spanish that can be recommended based on their content, behavior change techniques (BCTs), and quality as a complementary tool during pregnancy. Methods: A systematic search on app stores to identify apps was performed in the Apple App Store and Google Play with the subject term “pregnancy.” The apps meeting the following criteria were chosen: pregnancy-related content, free, and available in Spanish. An app was excluded if it was classified as a game or entertainment and thus lacking an educational or health aim and if it did not target the population under study. The selected apps were downloaded, and their quality was assessed using the Mobile Application Rating Scale (MARS), with the BCTs included evaluated using the BCT taxonomy version 1 and its content. Results: A total of 457 apps were identified, 25 of which were downloaded for assessment (5.6%). The median for objective and subjective quality was 2.94 (IQR 2.71-3.46) and 1.75 (IQR 1.25-2.25), respectively. Regarding content, the median of topics included in the apps was 23 (IQR 16-23), with weight gain, nutrition, fetal development, and physical activity being the most common. The median number of BCTs was 12 (IQR 0.5-3.5). The most frequently identified BCTs in the apps were “Self-Monitoring of Outcomes,” followed by “Goal Behavior” and “Instructions.” Statistically significant correlations were observed between objective quality and content (ρ=0.624; P=.001), subjective quality and content (ρ=0.638; P=.001), objective quality and BCTs (ρ=0.672; P<.001), subjective quality and BCTs (ρ=0.623; P<.001), and BCTs and content (ρ=0.580; P=.002). Conclusions: The results of this study suggest that only a small percentage of free pregnancy apps available in Spanish should be recommended. The apps with the best MARS scores were those that addressed a higher number of topics and included a higher number of BCTs. Those with the best content and quality, and a higher number of BCTs included could be recommended by health professionals.


8 November 2022 in Cancer Causes & Control
Verified
Journal Article
Open access
PDF file
RMRuben Martin-Payo
Ruben Martin-Payo
AMAndrea Martínez-Urquijo
Andrea Martínez-Urquijo
EZEdurne Zabaleta-Del-Olmo
Edurne Zabaleta-Del-Olmo
MFMaría del Mar Fernandez-Alvarez
María del Mar Fernandez-Alvarez
Purpose: This study aimed to evaluate the preliminary effectiveness of an educational intervention using a web-app to improve knowledge of breast cancer risk factors and symptoms and adherence to healthy eating and physical activity among women without breast cancer diagnosis in Asturias (Spain). Methods: A pragmatic randomized pilot trial was conducted to evaluate the impact of a web-app-based intervention for women without breast cancer diagnosis. Women in the intervention group participated in a 6-month intervention web-app based on the Behaviour Change Wheel Model. The web-app includes information about breast cancer risk factors, early detection, physical activity and diet. Results: Two hundred and eighty-fifth women aged 25–50 were invited to join the study. Two hundred and twenty-four were randomly assigned to either the intervention group (IG = 134) or control group (CG = 90) according to their place of residence. Adherence among women in the IG increased significantly from pre- to post-intervention for eight of the 12 healthy behaviors and for the identification of six risk factors and six symptoms compared to women in the CG and, among whom adherence only increased for two behaviors, the identification of one risk factor and 0 symptoms. The intervention significantly improved the mean number of risk factors + 1.06 (p < 0.001) and symptoms + 1.18 (p < 0.001) identified by women in the IG. Conclusions: The preliminary results of this study suggest that an educational intervention using a web-app and based on the Behaviour Change Wheel model could be useful to improve knowledge of breast cancer risk factors and symptoms and to improve adherence to a healthy diet and physical activity in women without a previous breast cancer diagnosis.