Effectiveness of an mHealth-Based Electronic Decision Support System for Integrated Management of Chronic Conditions in Primary Care: The mWellcare Cluster-Randomized Controlled Trial.

decision support techniques diabetes mellitus hypertension primary health care telemedicine

Journal

Circulation
ISSN: 1524-4539
Titre abrégé: Circulation
Pays: United States
ID NLM: 0147763

Informations de publication

Date de publication:
15 Jan 2019
Historique:
pubmed: 28 12 2018
medline: 28 12 2018
entrez: 28 12 2018
Statut: ppublish

Résumé

The burden of noncommunicable diseases and their risk factors has rapidly increased worldwide, including in India. Innovative management strategies with electronic decision support and task sharing have been assessed for hypertension, diabetes mellitus, and depression individually, but an integrated package for multiple chronic condition management in primary care has not been evaluated. In a prospective, multicenter, open-label, cluster-randomized controlled trial involving 40 community health centers, using hypertension and diabetes mellitus as entry points, we evaluated the effectiveness of mWellcare, an mHealth system consisting of electronic health record storage and an electronic decision support for the integrated management of 5 chronic conditions (hypertension, diabetes mellitus, current tobacco and alcohol use, and depression) versus enhanced usual care among patients with hypertension and diabetes mellitus in India. At trial end (12-month follow-up), using intention-to-treat analysis, we examined the mean difference between arms in change in systolic blood pressure and glycated hemoglobin as primary outcomes and fasting blood glucose, total cholesterol, predicted 10-year risk of cardiovascular disease, depression score, and proportions reporting tobacco and alcohol use as secondary outcomes. Mixed-effects regression models were used to account for clustering and other confounding variables. Among 3698 enrolled participants across 40 clusters (mean age, 55.1 years; SD, 11 years; 55.2% men), 3324 completed the trial. There was no evidence of difference between the 2 arms for systolic blood pressure (Δ=-0.98; 95% CI, -4.64 to 2.67) and glycated hemoglobin (Δ=0.11; 95% CI, -0.24 to 0.45) even after adjustment of several key variables (adjusted differences for systolic blood pressure: - 0.31 [95% CI, -3.91 to 3.29]; for glycated hemoglobin: 0.08 [95% CI, -0.27 to 0.44]). The mean within-group changes in systolic blood pressure in mWellcare and enhanced usual care were -13.65 mm Hg versus -12.66 mm Hg, respectively, and for glycated hemoglobin were -0.48% and -0.58%, respectively. Similarly, there were no differences in the changes between the 2 groups for tobacco and alcohol use or other secondary outcomes. We did not find an incremental benefit of mWellcare over enhanced usual care in the management of the chronic conditions studied. URL: https://www. gov. Unique identifier: NCT02480062.

Sections du résumé

BACKGROUND BACKGROUND
The burden of noncommunicable diseases and their risk factors has rapidly increased worldwide, including in India. Innovative management strategies with electronic decision support and task sharing have been assessed for hypertension, diabetes mellitus, and depression individually, but an integrated package for multiple chronic condition management in primary care has not been evaluated.
METHODS METHODS
In a prospective, multicenter, open-label, cluster-randomized controlled trial involving 40 community health centers, using hypertension and diabetes mellitus as entry points, we evaluated the effectiveness of mWellcare, an mHealth system consisting of electronic health record storage and an electronic decision support for the integrated management of 5 chronic conditions (hypertension, diabetes mellitus, current tobacco and alcohol use, and depression) versus enhanced usual care among patients with hypertension and diabetes mellitus in India. At trial end (12-month follow-up), using intention-to-treat analysis, we examined the mean difference between arms in change in systolic blood pressure and glycated hemoglobin as primary outcomes and fasting blood glucose, total cholesterol, predicted 10-year risk of cardiovascular disease, depression score, and proportions reporting tobacco and alcohol use as secondary outcomes. Mixed-effects regression models were used to account for clustering and other confounding variables.
RESULTS RESULTS
Among 3698 enrolled participants across 40 clusters (mean age, 55.1 years; SD, 11 years; 55.2% men), 3324 completed the trial. There was no evidence of difference between the 2 arms for systolic blood pressure (Δ=-0.98; 95% CI, -4.64 to 2.67) and glycated hemoglobin (Δ=0.11; 95% CI, -0.24 to 0.45) even after adjustment of several key variables (adjusted differences for systolic blood pressure: - 0.31 [95% CI, -3.91 to 3.29]; for glycated hemoglobin: 0.08 [95% CI, -0.27 to 0.44]). The mean within-group changes in systolic blood pressure in mWellcare and enhanced usual care were -13.65 mm Hg versus -12.66 mm Hg, respectively, and for glycated hemoglobin were -0.48% and -0.58%, respectively. Similarly, there were no differences in the changes between the 2 groups for tobacco and alcohol use or other secondary outcomes.
CONCLUSIONS CONCLUSIONS
We did not find an incremental benefit of mWellcare over enhanced usual care in the management of the chronic conditions studied.
CLINICAL TRIAL REGISTRATION BACKGROUND
URL: https://www.
CLINICALTRIALS RESULTS
gov. Unique identifier: NCT02480062.

Identifiants

pubmed: 30586732
doi: 10.1161/CIRCULATIONAHA.118.038192
doi:

Banques de données

ClinicalTrials.gov
['NCT02480062']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

380-391

Investigateurs

C Venkat (C)
S Ram (S)
Sudhir Saxena (S)
K Venugopal (K)
Lars Gredsted (L)
Vikram Sheel Kumar (VS)
Shirshendu Mukherjee (S)
K Srinath Reddy (KS)
Nitish Naik (N)
S N Dwivedi (SN)
A G Unnikrishnan (AG)
Meenakshi Sharma (M)

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Auteurs

Dorairaj Prabhakaran (D)

Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurugram, India (D.P., K.S., D.K., S.G., V.P.).
Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).
London School of Hygiene & Tropical Medicine, UK (D.P., D.P.-M., P.P.).

Dilip Jha (D)

Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).

David Prieto-Merino (D)

London School of Hygiene & Tropical Medicine, UK (D.P., D.P.-M., P.P.).
Applied Statistical Methods in Medical Research Group, Universidad Católica San Antonio de Murcia, Spain (D.P.-M.).

Ambuj Roy (A)

All India Institute of Medical Sciences, New Delhi (A.R.).

Kavita Singh (K)

Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurugram, India (D.P., K.S., D.K., S.G., V.P.).

Vamadevan S Ajay (VS)

Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).

Devraj Jindal (D)

Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).

Priti Gupta (P)

Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).

Dimple Kondal (D)

Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurugram, India (D.P., K.S., D.K., S.G., V.P.).

Shifalika Goenka (S)

Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurugram, India (D.P., K.S., D.K., S.G., V.P.).
Centre for Chronic Disease Control, New Delhi, India (D.P., D.J., V.S.A., D.J., P.G., S.G.).

Pramod Jacob (P)

dWise IT Solutions, Bangalore, India (P.J.).

Rekha Singh (R)

Directorate of Health Services, Government of Haryana, Panchkula, India (R.S.).

B G Prakash Kumar (BGP)

Directorate of Health and Family Welfare Services, Government of Karnataka, Bengalore, India (B.G.P.K.).

Pablo Perel (P)

London School of Hygiene & Tropical Medicine, UK (D.P., D.P.-M., P.P.).

Nikhil Tandon (N)

Centre for Control of Chronic Conditions, All India Institute of Medical Science, New Delhi (N.T.).

Vikram Patel (V)

Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurugram, India (D.P., K.S., D.K., S.G., V.P.).
Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA (V.P.).
Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA (V.P.).
Sangath, Goa, India (V.P.).

Classifications MeSH