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Publication
Tailored digital interventions to reduce alcohol consumption: a secondary analysis of a systematic review
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| 1.38 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Introdução: O consumo nocivo de álcool é um dos principais fatores de risco para problemas
de saúde em todo o mundo. Existem algumas evidências de que as intervenções digitais de
mudança de comportamento em saúde (IDMCS) podem ajudar as pessoas a reduzir o
consumo de álcool. A possibilidade de personalização do conteúdo ou estrutura destas
intervenções permite um maior ajustamento ao utilizador. Porém, não existe ainda uma
compreensão profunda das características dessa personalização. Objetivos: identificar os
componentes chave das IDMCS para redução do consumo de álcool em termos de: (i)
características da personalização, (ii) modo de implementação, (iii) dose, (iv) uso da teoria,
(v) efeito da intervenção. Método: Foi realizada uma análise secundária de uma revisão
sistemática (Beyer et al., 2022) focada em estudos randomizados de intervenções digitais
personalizadas. Com base nas classificações estandardizadas disponíveis, um investigador
procedeu à extração de todos os artigos e um segundo investigador extraiu de forma
independente informação de 20% das publicações. Resultados: Foram incluídos oitenta e
nove estudos que incluíam 116 intervenções digitais. Apesar de todos os estudos reportarem
mecanismos e táticas de personalização, nenhum fez referência a sistemas de classificação
existentes. Praticamente todas as intervenções reportaram as características individuais com
base nas quais a personalização foi efetuada, bem como o modo de implementação. A relação
entre a teoria e a personalização esteve presente em menos de metade das intervenções (45%)
e uma descrição completa da dose foi feita em 29% das intervenções. Discussão: A
compilação da informação sobre as componentes das intervenções constituiu um desafio
devido à falta de clareza e descrições detalhadas, principalmente no que diz respeito à relação
entre a personalização e os outros elementos da intervenção. Este conhecimento é essencial
para perceber a ‘caixa negra’ da personalização, que pode contribuir para a melhoria das
IDMCS.
ABSTRACT: Background: The harmful use of alcohol is one of the major risk factors for poor health globally. There is some evidence that digital health behaviour change interventions (DHBCIs) can help people reduce their alcohol intake. These interventions allow for higher precision by tailoring the content or structuring it to the user. However, a deeper understanding of tailoring characteristics is still missing. Objectives: To identify the core components of DHBCIs for alcohol reduction in terms of (i) tailoring characteristics, (ii) modes of delivery, (iii) dose, (iv) use of theory, (v) intervention effect. Methods: A secondary analysis of a systematic review (Beyer et al., 2022) was performed covering randomized controlled trials reporting digitally delivered tailored interventions. Using available standardized classification systems, one researcher retrieved relevant data from all reports and a second researcher independently extracted information for 20% of the publications. Results: Eighty-nine studies were included, which reported 116 digital interventions. Despite all studies having reported tailoring mechanisms and tactics, none referred to the existing categorization. Reporting of individual factors in which tailoring was based on and of the mode of delivery was done for almost all interventions. Links between theory and tailoring were presented in less than half of the interventions (45%) and complete descriptions of dose were done in 29% of the interventions. Discussion: Due to a lack of clarity and detailed descriptions of the interventions, the compilation of information about its components was challenging, especially the reporting of the connections between tailoring and the other essential intervention elements. This knowledge is essential to understand the ‘black box’ of tailoring which can enhance DHBCIs.
ABSTRACT: Background: The harmful use of alcohol is one of the major risk factors for poor health globally. There is some evidence that digital health behaviour change interventions (DHBCIs) can help people reduce their alcohol intake. These interventions allow for higher precision by tailoring the content or structuring it to the user. However, a deeper understanding of tailoring characteristics is still missing. Objectives: To identify the core components of DHBCIs for alcohol reduction in terms of (i) tailoring characteristics, (ii) modes of delivery, (iii) dose, (iv) use of theory, (v) intervention effect. Methods: A secondary analysis of a systematic review (Beyer et al., 2022) was performed covering randomized controlled trials reporting digitally delivered tailored interventions. Using available standardized classification systems, one researcher retrieved relevant data from all reports and a second researcher independently extracted information for 20% of the publications. Results: Eighty-nine studies were included, which reported 116 digital interventions. Despite all studies having reported tailoring mechanisms and tactics, none referred to the existing categorization. Reporting of individual factors in which tailoring was based on and of the mode of delivery was done for almost all interventions. Links between theory and tailoring were presented in less than half of the interventions (45%) and complete descriptions of dose were done in 29% of the interventions. Discussion: Due to a lack of clarity and detailed descriptions of the interventions, the compilation of information about its components was challenging, especially the reporting of the connections between tailoring and the other essential intervention elements. This knowledge is essential to understand the ‘black box’ of tailoring which can enhance DHBCIs.
Description
Dissertação de Mestrado realizada sob
a orientação da Professora Doutora
Marta Moreira Marques, apresentada
no Ispa - Instituto Universitário, para obtenção de grau de
Mestre na especialidade de Psicologia
Clínica.
Keywords
Comportamentos de saúde Personalização Redução do consumo de álcool Tecnologia digital Revisão Health behaviour Tailoring Alcohol consumption reduction Digital technology Review