mWELLCARE:An Integrated mHealth System for the Prevention and Care of Chronic Disease
mWELLCARE
1 other identifier
interventional
3,702
1 country
40
Brief Summary
Major barriers to controlling cardiovascular diseases (CVDs) in India and elsewhere are: low detection rates, inadequate use of evidence based interventions and low adherence with these interventions. Primary health care is the appropriate setting for improving the prevention and management of these chronic conditions. The investigators will develop and evaluate an innovative mobile health (mHealth) software application -'m-WELLCARE'- which provides a patient health profile, decision support for clinical care, monitoring and feedback for use in Indian Community Health Centers (CHCs). The investigators will conduct this research following the steps proposed by the medical research council (MRC) for evaluation of complex interventions. Technical development of m-WELLCARE will be conducted, user acceptability appraised and potential barriers overcome. m-WELLCARE will be evaluated in CHCs of two states, Haryana and Karnataka. The use made of m-WELLCARE, its impact on patterns of health care received and changes in risk factors achieved will be evaluated.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable hypertension
Started Apr 2016
40 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 26, 2015
CompletedFirst Posted
Study publicly available on registry
June 24, 2015
CompletedStudy Start
First participant enrolled
April 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2017
CompletedOctober 2, 2017
September 1, 2017
1.4 years
May 26, 2015
September 28, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Systolic blood Pressure
Difference in mean change in systolic blood pressure between the two treatment arms
Baseline and 12 months
Glycated haemoglobin (HbA1c)
Difference in mean change in glycated haemoglobin(HbA1c) between the two treatment arms
Baseline and 12 months
Secondary Outcomes (8)
Depression
Baseline and 12 months
Smoking
Baseline and 12 months
Body Mass Index (BMI)
Baseline and 12 months
Alcohol use
Baseline and 12 months
Fasting blood sugar
Baseline and 12 months
- +3 more secondary outcomes
Study Arms (2)
mWELLCARE software arm
EXPERIMENTALThe doctor and nurse care coordinators (NCCs) in the mWELLCARE intervention arm will be trained on the use of mWELLCARE software loaded on a tablet computer. Patients diagnosed with hypertension and/or diabetes will be registered by the nurse using mWellcare application. The nurse will record patient parameters, medical history, medication etc and generate a management plan (including drug recommendation, lifestyle advise) using the mWellcare application based on standard treatment guidelines. The doctor will review the recommendation and agree or disagree giving reasons. Patient will be followed up using SMS.
Usual care arm
ACTIVE COMPARATORIn the control arm or the usual care arm CHCs, the doctor and Nurse will get "refresher" training in the detection, management and follow up of hypertension and diabetes patients based on standard guidelines. They will be provided with charts for quick reference to standard treatment guidelines. Patients diagnosed with hypertension and/or diabetes will be managed by the doctor at the CHC. The nurse will assist in recording blood pressure, height, weight etc, providing lifestyle advise and follow up advice to patients.
Interventions
mWELLCARE intervention arm will include a software application loaded on a tablet computer that will be used by Nurse Care Coordinators (posted in community health centers) in the course of their jobs to register patients with hypertension or diabetes, to generate clinical decision support recommendations, to track these patients over time and to improve follow-up care. Decision support recommendations will be printed and given to a doctor, who will make the final call on the management plan that will be used for the patient. Registered patients will also receive customized messages on their mobile phone. In addition, at sites where network connectivity permits, the doctor may also be equipped with a doctor's app on a tablet that will be largely the same as the NCC app.
Eligibility Criteria
You may qualify if:
- Adults aged 30 yrs+ diagnosed with hypertension and /or diabetes who are able to give written consent (or verbal witnessed consent for illiterate patients).
You may not qualify if:
- Patient requiring immediate referral to tertiary care due to accelerated hypertension, diabetic complications.
- Patients with learning difficulties or vision/ hearing impairments but without a care giver making it impossible to use mobile phone.
- Pregnant and lactating women.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Public Health Foundation of Indialead
- Wellcome Trustcollaborator
- London School of Hygiene and Tropical Medicinecollaborator
Study Sites (40)
CHC Assandh
Āsandh, Haryana, 132039, India
CHC Ballah
Ballah, Haryana, 132040, India
CHC Brara
Brara, Haryana, 133201, India
CHC Chauramastpur
Chauramastpur, Haryana, 134003, India
CHC Gharaunda
Gharaunda, Haryana, 132114, India
CHC Indri
Indri, Haryana, 132041, India
CHC Jhansa
Jhānsa, Haryana, 136130, India
CHC Ladwa
Lādwa, Haryana, 136132, India
CHC Mathana
Mathāna, Haryana, 136131, India
CHC Mullana
Mullana, Haryana, 133207, India
CHC Mustafabad
Mustafābād, Haryana, 133103, India
CHC Naharpur
Nāharpur, Haryana, 135001, India
CHC Nilokheri
Nīlokheri, Haryana, 132116, India
CHC Nissing
Nīsang, Haryana, 132024, India
CHC Pehowa
Pehowa, Haryana, 136128, India
CHC Radaur
Radaur, Haryana, India
CHC Sadhaura
Sādhaura, Haryana, 133204, India
CHC Shahzadpur
Shahzādpur, Haryana, 134202, India
CHC Shahbad
Shāhābād, Haryana, 136135, India
CHC Taraori
Tirāwari, Haryana, 132116, India
CHC Anandapuram
Anantapur, Karnataka, 577412, India
CHC Aynur
Aynur, Karnataka, 577221, India
CHC Anavatti
Ānavatti, Karnataka, 577413, India
Taluk Hospital Bhadravathi
Bhadravathi, Karnataka, 577301, India
CHC CN Halli
CN Halli, Karnataka, 572214, India
CHC Gubbi
Gubbi, Karnataka, 572216, India
CHC Holehonnuru
Holehonnuru, Karnataka, 577227, India
Taluk Hospital Hosanagara
Hosanagara, Karnataka, 577418, India
CHC Kannangi
Kannangi, Karnataka, 577226, India
General Hospital Koratagere
Koratagere, Karnataka, 572129, India
General Hospital Kunigal
Kunigal, Karnataka, 572130, India
CHC M.N.Kote
M.N.Kote, Karnataka, 572222, India
General Hospital Madhugiri
Madhugiri, Karnataka, 572132, India
General Hospital Pavagada
Pāvugada, Karnataka, 561202, India
Taluk Hospital Sagar
Sāgar, Karnataka, 577401, India
CHC Shiralkoppa
Shiralkoppa, Karnataka, 577428, India
General Hospital Sira
Sīra, Karnataka, 572137, India
CHC Kannangi
Thirthahalli, Karnataka, 577432, India
General Hospital Tiptur
Tiptūr, Karnataka, 572201, India
CHC Turuvekere
Turuvekere, Karnataka, 572227, India
Related Publications (7)
Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009 Apr;15(3):231-40. doi: 10.1089/tmj.2008.0099.
PMID: 19382860BACKGROUNDD'Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel WB. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008 Feb 12;117(6):743-53. doi: 10.1161/CIRCULATIONAHA.107.699579. Epub 2008 Jan 22.
PMID: 18212285BACKGROUNDChalkidou K, Levine R, Dillon A. Helping poorer countries make locally informed health decisions. BMJ. 2010 Jul 16;341:c3651. doi: 10.1136/bmj.c3651. No abstract available.
PMID: 20639295BACKGROUNDWee HL, Loke WC, Li SC, Fong KY, Cheung YB, Machin D, Luo N, Thumboo J. Cross-cultural adaptation and validation of Singapore Malay and Tamil versions of the EQ-5D. Ann Acad Med Singap. 2007 Jun;36(6):403-8.
PMID: 17597964BACKGROUNDPrabhakaran D, Jha D, Prieto-Merino D, Roy A, Singh K, Ajay VS, Jindal D, Gupta P, Kondal D, Goenka S, Jacob P, Singh R, Kumar BGP, Perel P, Tandon N, Patel V; Members of the Research Steering Committee,Investigators,Members of the Data Safety and Monitoring Board. Effectiveness of an mHealth-Based Electronic Decision Support System for Integrated Management of Chronic Conditions in Primary Care: The mWellcare Cluster-Randomized Controlled Trial. Circulation. 2019 Jan 15;139(3):380-391. doi: 10.1161/CIRCULATIONAHA.118.038192. Epub 2018 Nov 10.
PMID: 30586732DERIVEDJindal D, Gupta P, Jha D, Ajay VS, Goenka S, Jacob P, Mehrotra K, Perel P, Nyong J, Roy A, Tandon N, Prabhakaran D, Patel V. Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings. Glob Health Action. 2018;11(1):1517930. doi: 10.1080/16549716.2018.1517930.
PMID: 30253691DERIVEDJha D, Gupta P, Ajay VS, Jindal D, Perel P, Prieto-Merino D, Jacob P, Nyong J, Venugopal V, Singh K, Goenka S, Roy A, Tandon N, Patel V, Prabhakaran D. Protocol for the mWellcare trial: a multicentre, cluster randomised, 12-month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India. BMJ Open. 2017 Aug 11;7(8):e014851. doi: 10.1136/bmjopen-2016-014851.
PMID: 28801393DERIVED
Related Links
- Curioso, W., New technologies and public health in developing countries: the Cell PREVEN project, in The Internet and health care: theory, research and practice, M. Murero and R. Rice, Editors. 2006, Lawrence Erlbaum Associates: Mahwah (NJ).
- Curioso, W. and P. Mechael, Enhancing 'M-Health' With South-To-South Collaborations. Health Affairs, 2010(29): p. 264-267.
- Vital Wave Consulting, mHealth for Development: The Opportunity of Mobile Technology for Healthcare in the Developing World. . 2009, UN Foundation-Vodafone Foundation Partnership: Washington, D.C. and Berkshire, UK.
- Hanson, K., et al., Expanding access to priority health interventions: a framework for understanding the constraints to scaling-up. J of International Development, 2003. 15(1): p. 1-14.
- Kaplan, W., Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries? . Global Health, 2006(2): p. 9.
- Rigby, M., Impact of telemedicine must be defined in developing countries. bmj, 2002. 324(7328): p. 47.
- Prince M, Patel V, Saxena S, Maj M, Maselko J, Phillips MR, et al. No health without mental health. Lancet. 2007; 370:859-77
- http://www.whoindia.org/LinkFiles/NMH\_Resources\_CVD\_RISK\_MANAGEMENT\_BOOKLET.pdf
- mhGAP Intervention Guide for mental, neurological and substance use disorders in non-specialist health settings. ver 1.0. World Health Organisation Geneva, 2010.
- Free C, Phillips G, Watson L, Gallo L, Lambert F, Patel V, Edwards P. The Effectiveness Of Mobile Health Technologies for Improving Health and Health Services: A Systematic Review. Report for Department of Health, England (in preparation)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Dorairaj Prabhakaran
Public Health Foundation of India
- PRINCIPAL INVESTIGATOR
Vikram Patel
London School of Hygeine and Tropical Medicine
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 26, 2015
First Posted
June 24, 2015
Study Start
April 1, 2016
Primary Completion
September 1, 2017
Study Completion
September 1, 2017
Last Updated
October 2, 2017
Record last verified: 2017-09