Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials.


Journal

The Lancet. Digital health
ISSN: 2589-7500
Titre abrégé: Lancet Digit Health
Pays: England
ID NLM: 101751302

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 19 05 2022
revised: 21 11 2022
accepted: 28 11 2022
entrez: 24 2 2023
pubmed: 25 2 2023
medline: 3 3 2023
Statut: ppublish

Résumé

Digital health interventions have shown promising results for the management of type 2 diabetes, but a comparison of the effectiveness and implementation of the different modes is not currently available. Therefore, this study aimed to compare the effectiveness of SMS, smartphone application, and website-based interventions on improving glycaemia in adults with type 2 diabetes and report on their reach, uptake, and feasibility. In this systematic review and meta-analysis, we searched CINAHL, Cochrane Central, Embase, MEDLINE, and PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) that examined the effectiveness of digital health interventions in reducing glycated haemoglobin A Of the 3236 records identified, 56 RCTs from 24 regions (n=11 486 participants), were included in the narrative synthesis, and 26 studies (n=4546 participants) in the meta-analysis. 20 studies used SMS as the primary mode of delivery of the digital health intervention, 25 used smartphone applications, and 11 implemented interventions via websites. Smartphone application interventions reported higher reach compared with SMS and website-based interventions, but website-based interventions reported higher uptake compared with SMS and smartphone application interventions. Effective interventions, in general, included people with greater severity of their condition at baseline (ie, higher HbA Smartphone application and SMS interventions, but not website-based interventions, were associated with better glycaemic control. However, the studies' heterogeneity should be recognised. Considering that both smartphone application and SMS interventions are effective for diabetes management, clinicians should consider factors such as reach, uptake, patient preference, and context of the intervention when deciding on the mode of delivery of the intervention. Nine in ten people worldwide own a feature phone and can receive SMS and four in five people have access to a smartphone, with numerous smartphone applications being available for diabetes management. Clinicians should familiarise themselves with this modality of programme delivery and encourage people with type 2 diabetes to use evidence-based applications for improving their self-management of diabetes. Future research needs to describe in detail the mediators and moderators of the effectiveness and implementation of SMS and smartphone application interventions, such as the optimal dose, frequency, timing, user interface, and communication mode to both further improve their effectiveness and to increase their reach, uptake, and feasibility. EU's Horizon 2020 Research and Innovation Programme.

Sections du résumé

BACKGROUND BACKGROUND
Digital health interventions have shown promising results for the management of type 2 diabetes, but a comparison of the effectiveness and implementation of the different modes is not currently available. Therefore, this study aimed to compare the effectiveness of SMS, smartphone application, and website-based interventions on improving glycaemia in adults with type 2 diabetes and report on their reach, uptake, and feasibility.
METHODS METHODS
In this systematic review and meta-analysis, we searched CINAHL, Cochrane Central, Embase, MEDLINE, and PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) that examined the effectiveness of digital health interventions in reducing glycated haemoglobin A
FINDINGS RESULTS
Of the 3236 records identified, 56 RCTs from 24 regions (n=11 486 participants), were included in the narrative synthesis, and 26 studies (n=4546 participants) in the meta-analysis. 20 studies used SMS as the primary mode of delivery of the digital health intervention, 25 used smartphone applications, and 11 implemented interventions via websites. Smartphone application interventions reported higher reach compared with SMS and website-based interventions, but website-based interventions reported higher uptake compared with SMS and smartphone application interventions. Effective interventions, in general, included people with greater severity of their condition at baseline (ie, higher HbA
INTERPRETATION CONCLUSIONS
Smartphone application and SMS interventions, but not website-based interventions, were associated with better glycaemic control. However, the studies' heterogeneity should be recognised. Considering that both smartphone application and SMS interventions are effective for diabetes management, clinicians should consider factors such as reach, uptake, patient preference, and context of the intervention when deciding on the mode of delivery of the intervention. Nine in ten people worldwide own a feature phone and can receive SMS and four in five people have access to a smartphone, with numerous smartphone applications being available for diabetes management. Clinicians should familiarise themselves with this modality of programme delivery and encourage people with type 2 diabetes to use evidence-based applications for improving their self-management of diabetes. Future research needs to describe in detail the mediators and moderators of the effectiveness and implementation of SMS and smartphone application interventions, such as the optimal dose, frequency, timing, user interface, and communication mode to both further improve their effectiveness and to increase their reach, uptake, and feasibility.
FUNDING BACKGROUND
EU's Horizon 2020 Research and Innovation Programme.

Identifiants

pubmed: 36828606
pii: S2589-7500(22)00233-3
doi: 10.1016/S2589-7500(22)00233-3
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e125-e143

Investigateurs

Brian Oldenburg (B)
Dominika Kwasnicka (D)
Enying Gong (E)
Jenny Jung (J)
Bernard Yeboah-Asiamah Asare (BY)
Vimarsha Kodithuwakku (V)
Konstantinos Votis (K)
Sofia Segkouli (S)
Andreas Triantafyllidis (A)
Odysseas Kyparissis (O)
Ioannis Paliokas (I)
Eleftheria Polychroniou (E)
Lieven Annemans (L)
Nick Verhaeghe (N)
Ruben Willems (R)
Dirk De Craemer (D)
Yannis Manios (Y)
Kostas Anastasiou (K)
Konstantinos Tserpes (K)
Christina Mavrogianni (C)
Eva Karaglani (E)
Electra Kalogerakou (E)
Maria Maragkoudaki (M)
Agathi Ntzouvani (A)
Katerina Kontochristopoulou (K)
Sabine Dupont (S)
Elizabeth Dupont (E)
Leo Dauzon (L)
Maartje Roskams (M)
Niamh Lennox-Chhugani (N)
Martin Perrin (M)
Niamh Daly Day (ND)
Georgina Ferrer (G)
Orla Snook (O)
Edelweiss Aldasoro (E)
Alejandro Gil-Salmerón (A)
Pilar Gangas Peiró (PG)
Darren Curran (D)
Fiona Lyne (F)
Nereide A Curreri (NA)
George Moschonis (G)
George Siopis (G)
Nazzareno Pierantozzi (N)
Claudia D'Antonio (C)
Giacomo Vespasiani (G)
Teresa Almonti (T)
Helen Skouteris (H)
Tracy Taylor (T)
Melissa Savaglio (M)
Konstantinos Makrilakis (K)
George Stergiou (G)
Stavros Liatis (S)
George Karamanakos (G)
Chrysi Koliaki (C)
Anastasios Kollias (A)
Eva Zikou (E)
Haris Dimosthenopoulos (H)
Rajesh Vedanthan (R)
Keng-Yen Huang (KY)
Samrachana Adhikari (S)
Kun Qian (K)
Julia Dickhaus (J)
Kimberly Carney (K)
Evette Eweka (E)
Farhan Sahito (F)
Dusan Pavlovic (D)
Djordje Djokic (D)
Arzoo Sahito (A)
Gisella Battalova (G)
Chiara Seghieri (C)
Sabina Nutti (S)
Milena Vanieri (M)
Nicola Belle (N)
Gaia Bertarelli (G)
Paola Cantarelli (P)
Francesca Ferre (F)
Anna Noci (A)
Constanza Tortu (C)
Nadia Bozzi (N)
Dina Ferrari (D)
Rachele Borelli (R)
Violeta Iotova (V)
Yoto Yotov (Y)
Natalia Usheva (N)
Anna Kozhuharova (A)
Vanya Russeva (V)
Vanya Marinova (V)
Sonya Koleva (S)
Virginia Atanasova (V)
Tanya Stefanova (T)
Kaloyan Tsochev (K)
Luis Moreno Aznar (LM)
Rosa Magallón Botaya (RM)
Gloria Bueno Lozano (GB)
Pilar De Miguel-Etayo (P)
Esther Ma Gonzalez-Gil (EM)
María L Miguel-Berges (ML)
Susana Pérez (S)
Bárbara Oliván Blázquez (BO)
Natalia Giménez-Legarre (N)
Florian Toti (F)
Skerdi Prifti (S)
Blerina Bombaj (B)
Ditila Doracaj (D)
Ornela Laze (O)
Adriana Lapardhaja (A)
Luftime Bruka (L)

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests LA received consulting fees from Mundipharma for advice on cost-effectiveness of SGLT2 inhibitors for the management of type 2 diabetes; honoraria from Boehringer Ingelheim and from Mundipharma for lectures on health economic aspects of diabetes; and is a member of the board of the AstraZeneca Foundation. All other authors declare no competing interests.

Auteurs

George Moschonis (G)

Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia. Electronic address: g.moschonis@latrobe.edu.au.

George Siopis (G)

Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia. Electronic address: george.siopis@deakin.edu.au.

Jenny Jung (J)

Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia.

Evette Eweka (E)

Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.

Ruben Willems (R)

Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium.

Dominika Kwasnicka (D)

NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.

Bernard Yeboah-Asiamah Asare (BY)

Curtin School of Population Health, Curtin University, Perth, WA, Australia.

Vimarsha Kodithuwakku (V)

NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.

Nick Verhaeghe (N)

Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium; Research Institute for Work and Society, HIVA KU Leuven, Leuven, Belgium.

Rajesh Vedanthan (R)

Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.

Lieven Annemans (L)

Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, Ghent, Belgium.

Brian Oldenburg (B)

Academic and Research Collaborative in Health, La Trobe University, Melbourne, VIC, Australia; NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.

Yannis Manios (Y)

Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece; Institute of Agri-food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece.

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