Skip to content

mWELLCARE:An Integrated mHealth System for the Prevention and Care of Chronic Disease

mWELLCARE:An Integrated mHealth System for the Prevention and Care of Chronic Disease

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02480062
Acronym
mWELLCARE
Enrollment
3702
Registered
2015-06-24
Start date
2016-04-30
Completion date
2017-09-30
Last updated
2017-10-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Use Disorder, Depression, Diabetes, Hypertension

Keywords

Decision Support System, mHealth, Primary Health Care, Non-communicable diseases

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.

Detailed description

Cardiovascular disease (CVD) and diabetes are the leading causes of premature (\<60 years) adult deaths in India with projections indicating an almost 3-fold increase to 18 million premature years of life lost by 2030. CVD and diabetes will result in $336.6 billion in lost national income in India over the next decade. The major barriers to the control of these conditions in India are the low detection rates early in the course of the condition, inadequate use of evidence based interventions and low adherence with these interventions. After detection of these conditions, the long-term health outcomes of persons affected is heavily dependent on adherence with care guidelines and is a major priority. Harnessing the potential of Smartphone technology would be a solution for addressing these challenges at the community level by improving the quality of care. There are several advantages for Smartphone technology that makes it an ideal tool for improving the quality care at the government facilities. Smartphones/tablet computers are low-cost, requires less investment in infrastructure and are ubiquitous used by the masses. Primary health care settings are best suited to address the prevention and management of hypertension/diabetes and its risk factors. Given these reasons, the Government of India, is planning to scale-up the National Program on prevention and control of cancer, diabetes, cardiovascular diseases and stroke (NPCDCS) giving a major thrust to screening, diagnosis and management of hypertension and diabetes at community level by starting NCD clinics at the Community Health Centres and assigning new roles to the Health Workers at the sub-centers. In the above context, the investigators plan to develop a tablet computer application for the Medical Officers and Nurse enabling them to deliver high quality care at Community Health Centres (CHCs). The tablet computer application will be capable of running clinical risk scores for identifying people at high risk of diabetes, cardiovascular disease, and computing personalized management plan using evidence-based clinical management guidelines. The feasibility and effectiveness of such a novel application is to be formally evaluated in order to develop a robust clinical decision support system for the Nurses and Medical Officers at the public health facilities. In brief, the investigators plan to implement the research project in the 20 CHCs each in 2 states in India i.e.Haryana and Karnataka. Out of these, 10 CHCs will receive the mWellcare interventions. In the intervention arm, the NPCDCS Nurses will register 30 years+ patient diagnosed with hypertension and diabetes using tablet computer based Decision Support Software (DSS). For the patients identified with hypertension/diabetes or at high risk, the software will provide individual tailored management plan that would include treatment plan, lifestyle advice and follow up schedule. Thus, Medical Officers at CHCs will be able to prescribe a guideline based management plan for these patients with the help of DSS. The software will store relevant health parameters of patients at local database (tablet computer) and central server that could be accessed during the follow-up visits of the patients or whenever required. To make meaningful comparison on the impact of the new technology enabled services in improving the quality of care of diabetes and hypertension at the CHCs, the investigators will collect data from 10 more CHCs that provide routine/usual care to the patients. A structured training will be conducted for Medical Officers and Nurse at CHCs (both from the intervention & usual care arm) on evidence based management of hypertension and diabetes prior to the start of the project. The intervention will be carried out for a period of 1 year that would include regular follow up. The effect of the intervention will be assessed at six and twelve month comparing the blood pressure and blood glucose values of the patients in two groups. This project has considerable importance because of the fact that the utility of tablet computer based clinical decision support systems in the management of hypertension and diabetes at the public health facilities has not been evaluated in developing countries so far. If found successful, the technology has the potential to be upscale not only in Haryana and Karnataka but across the country in government and private healthcare settings.

Interventions

OTHERmWELLCARE

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.

OTHERUsual Care

Usual care at the community health centers

Sponsors

Wellcome Trust
CollaboratorOTHER
London School of Hygiene and Tropical Medicine
CollaboratorOTHER
Public Health Foundation of India
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
30 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults aged 30 yrs+ diagnosed with hypertension and /or diabetes who are able to give written consent (or verbal witnessed consent for illiterate patients).

Exclusion criteria

1. Patient requiring immediate referral to tertiary care due to accelerated hypertension, diabetic complications. 2. Patients with learning difficulties or vision/ hearing impairments but without a care giver making it impossible to use mobile phone. 3. Pregnant and lactating women.

Design outcomes

Primary

MeasureTime frameDescription
Systolic blood PressureBaseline and 12 monthsDifference in mean change in systolic blood pressure between the two treatment arms
Glycated haemoglobin (HbA1c)Baseline and 12 monthsDifference in mean change in glycated haemoglobin(HbA1c) between the two treatment arms

Secondary

MeasureTime frameDescription
Body Mass Index (BMI)Baseline and 12 monthsDifference in BMI
Alcohol useBaseline and 12 monthsChange in alcohol use to be measured using WHO- AUDIT questionnaire
Fasting blood sugarBaseline and 12 monthsDifference in mean change in fasting blood sugar
DepressionBaseline and 12 monthsProportion of patients with moderate and severe depression measured using PHQ-9 score
CVD riskBaseline and 12 monthsDifference in mean change in predicted 10 year risk of cardiovascular disease using re-caliberated Framingham Risk Score
CostBaseline and 12 monthsCosts associated with delivering intervention compared to usual care
Total cholesterolBaseline and 12 monthsDifference in mean change in total cholesterol
SmokingBaseline and 12 monthsproportion of smokers

Countries

India

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 26, 2026