Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports

Autor(es)

Rodrigues Cunha, Bruna Carolina ^[1] ; Da Hora Rodrigues, Kamila Rios ^[2] ; Zaine, Isabela ^[2] ; Nogueira da Silva, Elias Adriano ^[2] ; Viel, Caio Cesar ^[3] ; Campos Pimentel, Maria Da Graca ^[2]

Afiliação do(s) autor(es)

^[1] Fed Inst Educ Sci & Technol Sao Paulo, Ave Doutor Enio Pires de Camargo 2971, BR-13360000 Capivari - Brazil

^[2] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos - Brazil

^[3] Sidia Inst Sci & Technol, Manaus, Amazonas - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF MEDICAL INTERNET RESEARCH; v. 23, n. 7 JUL 12 2021.
• Citações Web of Science: 0

Resumo

Background: Health professionals initiating mobile health (mHealth) interventions may choose to adapt apps designed for other activities (eg, peer-to-peer communication) or to employ purpose-built apps specialized in the required intervention, or to exploit apps based on methods such as the experience sampling method (ESM). An alternative approach for professionals would be to create their own apps. While ESM-based methods offer important guidance, current systems do not expose their design at a level that promotes replicating, specializing, or extending their contributions. Thus, a twofold solution is required: a method that directs specialists in planning intervention programs themselves, and a model that guides specialists in adopting existing solutions and advises software developers on building new ones. Objective: The main objectives of this study are to design the Experience Sampling and Programmed Intervention Method (ESPIM), formulated toward supporting specialists in deploying mHealth interventions, and the ESPIM model, which guides health specialists in adopting existing solutions and advises software developers on how to build new ones. Another goal is to conceive and implement a software platform allowing specialists to be users who actually plan, create, and deploy interventions (ESPIM system). Methods: We conducted the design and evaluation of the ESPIM method and model alongside a software system comprising integrated web and mobile apps. A participatory design approach with stakeholders included early software prototype, predesign interviews with 12 health specialists, iterative design sustained by the software as an instance of the method's conceptual model, support to 8 real case studies, and postdesign interviews. Results: The ESPIM comprises (1) a list of requirements for mHealth experience sampling and intervention-based methods and systems, (2) a 4-dimension planning framework, (3) a 7-step-based process, and (4) an ontology-based conceptual model. The ESPIM system encompasses web and mobile apps. Eight long-term case studies, involving professionals in psychology, gerontology, computer science, speech therapy, and occupational therapy, show that the method allowed specialists to be actual users who plan, create, and deploy interventions via the associated system. Specialists' target users were parents of children diagnosed with autism spectrum disorder, older persons, graduate and undergraduate students, children (age 8-12), and caregivers of older persons. The specialists reported being able to create and conduct their own studies without modifying their original design. A qualitative evaluation of the ontology-based conceptual model showed its compliance to the functional requirements elicited. Conclusions: The ESPIM method succeeds in supporting specialists in planning, authoring, and deploying mobile-based intervention programs when employed via a software system designed and implemented according to its conceptual model. The ESPIM ontology-based conceptual model exposes the design of systems involving active or passive sampling interventions. Such exposure supports the evaluation, implementation, adaptation, or extension of new or existing systems. (AU)

• Processo FAPESP: 16/50489-4 - Assistive media for health and wellbeing in ageing: UK and Brazil network
• Beneficiário: Maria da Graca Campos Pimentel
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/18117-7 - Método para amostragem de experiências e intervenção programada (ESPIM)
• Beneficiário: Isabela Zaine
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 18/14674-7 - Letramento digital e intervenção programada remota a idosos por meio do uso de dispositivos móveis
• Beneficiário: Elias Adriano Nogueira da Silva
• Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
• Processo FAPESP: 16/00351-6 - Método e infraestrutura para captura ubíqua e intervenção programada de experiências: proposta via estudos de caso
• Beneficiário: Maria da Graca Campos Pimentel
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 17/09549-6 - Design e avaliação de uma aplicação de saúde para idosos baseada no sistema ESPIM
• Beneficiário: Isabela Zaine
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado