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The impact of technology systems and level of support in digital mental health interventions: a secondary meta-analysis.
Sasseville, Maxime; LeBlanc, Annie; Tchuente, Jack; Boucher, Mylène; Dugas, Michèle; Gisèle, Mbemba; Barony, Romina; Chouinard, Maud-Christine; Beaulieu, Marianne; Beaudet, Nicolas; Skidmore, Becky; Cholette, Pascale; Aspiros, Christine; Larouche, Alain; Chabot, Guylaine; Gagnon, Marie-Pierre.
Afiliação
  • Sasseville M; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada. maxime.sasseville@fsi.ulaval.ca.
  • LeBlanc A; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Tchuente J; VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Boucher M; Université Laval, Quebec City, Canada.
  • Dugas M; VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Gisèle M; Université Laval, Quebec City, Canada.
  • Barony R; Université Laval, Quebec City, Canada.
  • Chouinard MC; Université de Montréal, Montréal, Canada.
  • Beaulieu M; Université Laval, Quebec City, Canada.
  • Beaudet N; Université de Sherbrooke, Omnimed, Sherbrooke, Quebec, Canada.
  • Skidmore B; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Cholette P; Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale Nationale, Quebec City, Canada.
  • Aspiros C; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Larouche A; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Chabot G; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
  • Gagnon MP; Université Laval-VITAM Research Center on Sustainable Health, Quebec City, Canada.
Syst Rev ; 12(1): 78, 2023 05 04.
Article em En | MEDLINE | ID: mdl-37143171
ABSTRACT

BACKGROUND:

The majority of people with a chronic disease (e.g., diabetes, hypertension, COPD) have more than one concurrent condition and are also at higher risk for developing comorbidities in mental health, including anxiety and depression. There is an urgent need for more relevant and accurate data on digital interventions in this area to prepare for an increase demand for mental health services. The aim of this study was to conduct a meta-analysis of the digital mental health interventions for people with comorbid physical and mental chronic diseases to compare the effect of technology systems and level of support.

METHODS:

This secondary meta-analysis follows a rapid review of systematic reviews, a virtual workshop with knowledge users to identify research questions and a modified Delphi study to guide research

methods:

What types of digital health interventions (according to a recognized categorization) are the most effective for the management of concomitant mental health and chronic disease conditions in adults? We conducted a secondary analysis of the primary studies identified in the rapid review. Two reviewers independently screened the titles and abstracts and applied inclusion criteria RCT design using a digital mental health intervention in a population of adults with another chronic condition, published after 2010 in French or English, and including an outcome measurement of anxiety or depression.

RESULTS:

Seven hundred eight primary studies were extracted from the systematic reviews and 84 primary studies met the inclusion criteria Digital mental health interventions were significantly more effective than in-person care for both anxiety and depression outcomes. Online messaging was the most effective technology to improve anxiety and depression scores; however, all technology types were effective. Interventions partially supported by healthcare professionals were more effective than self-administered.

CONCLUSIONS:

While our meta-analysis identifies digital intervention's characteristics are associated with better effectiveness, all technologies and levels of support could be used considering implementation context and population. TRIAL REGISTRATION The protocol for this review is registered in the National Collaborating Centre for Methods and Tools (NCCMT) COVID-19 Rapid Evidence Service (ID 75).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental / COVID-19 Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Revista: Syst Rev Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental / COVID-19 Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Revista: Syst Rev Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá