{"id":28015,"date":"2022-06-22T09:19:55","date_gmt":"2022-06-22T14:19:55","guid":{"rendered":"https:\/\/saluddigital.com\/?p=28015"},"modified":"2025-10-20T11:44:53","modified_gmt":"2025-10-20T17:44:53","slug":"los-obstaculos-de-los-estudios-medicos-basados-en-apps-moviles","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/noticias\/los-obstaculos-de-los-estudios-medicos-basados-en-apps-moviles\/","title":{"rendered":"The obstacles of medical studies based on mobile apps"},"content":{"rendered":"
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Digital Health mobile applications have represented a major change in how medical researchers monitor and manage the health of clinical trial participants.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Mobile health apps have revolutionized the way patients are recruited, data collected, and how medical and clinical research is conducted in general. However, there are several challenges that must be faced, the most important being the abandonment by patients in studies that involve these new technologies.<\/p>

Mobile apps offer various advantages such as easy accessibility; remote evaluation that allows avoiding or making fewer visits to the research site; the reduction of investigation times, among others. Similarly, it is possible to involve variables in real time depending on the objective of the study, for example, location data, physical activity, or lack of physical activity, weather, air quality, and more.<\/p>

A literature review study published in The Journal of Medical Internet Research<\/em>, aimed to identify the factors and strategies used to promote the participation and retention of adult participants in this type of study.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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"Despite these overwhelming advantages, many mHealth studies experience high participant attrition due to the fundamental challenges of keeping participants engaged," the authors explain.<\/p>

The authors carried out a systematic search in databases such as PubMed, MEDLINE and PsycINFO, of studies published between 2015 and 2020 on Digital Health or mobile health, which evaluated strategies or problems to improve the participation and retention of adult participants in studies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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The study used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines as a method, through which related topics were identified and the narrative of the studies was compared as a way of filtering the information related to the factors that affect or determine patient retention.<\/p>

After searching, the authors found 389 studies, of which 62 were included in the review. Some of the factors that achieved commitment in participants were elements such as feedback, appropriate reminders and support in the use of the app. In the same way, they identified the factors that did not allow retention, such as the lack of support functions, technical difficulties and the app's usefulness.<\/p>

\u201cResearch on the mass applications of ResearchKit (Apple-developed framework) at the population level appeared in both cases, using both successful and unsuccessful engagement and retention techniques. Although low barriers to initial entry could allow the recruitment of thousands of participants, the same characteristics also functioned as low barriers to exit. In addition, the high number of recruits also proved to be an adverse factor when retention is poor.<\/p>

"Future research should consider how to best balance these needs and incorporate factors such as clinical status, provider referral, and compensation into recruitment plans for population-level applications," the authors explain.<\/p>

Check out the full study here https:\/\/jmir.org\/2022\/4\/e35120<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

JMIR<\/strong><\/p>

https:\/\/jmir.org\/2022\/4\/e35120<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Las aplicaciones m\u00f3viles de Salud Digital han representado un gran cambio en como los investigadores m\u00e9dicos monitorean y manejan la salud de los participantes de estudios cl\u00ednicos. Las aplicaciones m\u00f3viles de salud han revolucionado la forma en la que se reclutan pacientes, se recolectan datos y en general c\u00f3mo se realiza la investigaci\u00f3n m\u00e9dica y cl\u00ednica. Sin embargo, existen diversos retos que deben afrontarse, el m\u00e1s importante es el abandono por parte de los pacientes en estudios que involucran estas nuevas tecnolog\u00edas. Las apps m\u00f3viles ofrecen diversas ventajas como la f\u00e1cil accesibilidad; la evaluaci\u00f3n remota que permite evitar o realizar menos visitas al sitio de la investigaci\u00f3n; la reducci\u00f3n de tiempos de investigaci\u00f3n, entre otras. De igual forma es posible involucrar variables en tiempo real seg\u00fan el objetivo del estudio, por ejemplo, datos de ubicaci\u00f3n, actividad f\u00edsica, o falta de actividad f\u00edsica, clima, calidad del aire, y m\u00e1s. Un estudio de revisi\u00f3n de literatura publicado en Journal of Medical Internet Research, tuvo como objetivo identificar los factores y estrategias utilizadas para promover la participaci\u00f3n y retenci\u00f3n de participantes adultos en este tipo de estudios. \u201cA pesar de estas abrumadoras ventajas, muchos estudios de salud m\u00f3vil experimentan una alta deserci\u00f3n de participantes debido a los desaf\u00edos fundamentales de mantener a los participantes comprometidos\u201d, explican los autores. Los autores realizaron una b\u00fasqueda sistem\u00e1tica en bases de datos como PubMed, MEDLINE y PsycINFO, de estudios publicados entre 2015 y 2020 de Salud Digital o salud m\u00f3vil, que evaluaron estrategias o problem\u00e1ticas para mejorar la participaci\u00f3n y retenci\u00f3n de participantes adultos en estudios. El estudio utiliz\u00f3 como m\u00e9todo las directrices Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), a trav\u00e9s del cual se identificaron temas relacionados y se compar\u00f3 la narrativa de los estudios como una forma de filtrar la informaci\u00f3n relacionada con los factores que afectan o determinan la retenci\u00f3n de los pacientes. Tras la b\u00fasqueda, los autores encontraron 389 estudios, de los cuales incluyeron 62 en la revisi\u00f3n. Algunos de los factores que lograron el compromiso en participantes fueron elementos como la retroalimentaci\u00f3n, recordatorios apropiados y apoyo en el uso de la app. De igual forma identificaron los factores que no permitieron la retenci\u00f3n, como la falta de funciones de soporte, dificultades t\u00e9cnicas y utilidad de la app. \u201cLa investigaci\u00f3n sobre las aplicaciones masivas de ResearchKit (marco desarrollado por Apple) a nivel de poblaci\u00f3n apareci\u00f3 en ambos casos, utilizando t\u00e9cnicas de participaci\u00f3n y retenci\u00f3n tanto exitosas como no exitosas. Aunque las barreras bajas para la entrada inicial podr\u00edan permitir el reclutamiento de miles de participantes, las mismas caracter\u00edsticas tambi\u00e9n funcionaron como barreras bajas para la salida\u201d, explican. Adem\u00e1s, el alto n\u00famero de reclutamiento, demostr\u00f3 ser tambi\u00e9n un factor adverso cuando la retenci\u00f3n es deficiente. \u201cLa investigaci\u00f3n futura deber\u00eda considerar c\u00f3mo equilibrar mejor estas necesidades e incorporar factores como el estado cl\u00ednico, la referencia de los proveedores y la compensaci\u00f3n en los planes de reclutamiento para las aplicaciones a nivel de poblaci\u00f3n\u201d, explican los autores. Consulta el estudio completo aqu\u00ed https:\/\/jmir.org\/2022\/4\/e35120 BIBLIOGRAF\u00cdA JMIR https:\/\/jmir.org\/2022\/4\/e35120<\/p>","protected":false},"author":1,"featured_media":28019,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3395,3401,160],"tags":[145],"class_list":["post-28015","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apps-moviles-e-internet-de-las-cosas","category-iotapps","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28015","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=28015"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28015\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/28019"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=28015"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=28015"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=28015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}