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CompletedNCT02726100Updated Mar 12, 2021

SMARTHealth Diabetes in China Using Lay Family Health Promoters

An interventional study of SMARTHealth Diabetes in Diabetes Mellitus, Type 2, Hypertension and Dyslipidemias, sponsored by The George Institute for Global Health, China. Completed at 2 sites in China. Open to participants aged 40 Years to 75 Years. Per ClinicalTrials.gov, last updated 2021-03-12.

Sponsored by The George Institute for Global Health, China · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
2,073
Allocation
Randomized
Ages
40 Years to 75 Years
Sex
All
01

Study summary

It's a community-based parallel-arm cluster Randomized Controlled Trial (RCT). An interactive mobile health management system will be developed to support lay family health promoters and healthcare staff to improve clinical outcomes for family members with Type 2 Diabetes Mellitus (T2DM). 2,000 participants from 80 sites will be chosen from urban (40 communities) and rural (40 villages) settings in Shijiazhuang City, Hebei Province.

Read the detailed description

Study design and Settings:

Cluster randomised controlled trial involving 80 sites (40 communities in urban Shijiazhuang and 40 villages in rural Shijiazhuang) and 2,000 people with T2DM.

Hypothesis:

An interactive mobile health management system can support lay family health promoters (FHP) and healthcare staff to improve clinical outcomes for family members with T2DM

Intervention:

SMARTHealth Diabetes is an interactive mobile health platform to promote improved self-management for people with T2DM. It comprises the following core features:

  • Management support based on best practice clinical guidelines
  • Self-management tools and resources for family members
  • Password protected registration of patients and their nominated FHP to access this information
  • Population of key clinical information into a desktop application used by health care providers when applicable

Community eligibility:

  • 40 urban communities and 40 rural villages from geographically dispersed regions will be selected
  • Each community/ village must have at least one community health station providing services to ≥1,000 adult residents
  • Staff at the community health station must be willing to participate in the intervention

Statistical power:

80 clusters and a mean community cluster size of 25 participants (2,000 total) will provide 90% power to detect an absolute improvement of 10% in the primary outcome. This assumes 20% of people in the control arm will achieve ≥2 'ABC' diabetes goals ((HbA1C\<7%; Blood Pressure \<140/80 mmHg, LDL cholesterol \<100mg/dl or 2.6mmol/L) at end of study; an intra-class correlation coefficient of 0.05, a 20% loss to follow-up, and a 2-sided significance level of 0.05. This translates to a mean reduction of 0.35% for HbA1C, 0.14 mmol/L for LDL cholesterol and 3.4mmHg for systolic BP. Primary analyses will be conducted at the patient level. Secondary analyses will be conducted at the cluster level. Sub-group analyses will be conducted at the community level (based on size and health service characteristics) and patient level (based on demographic factors (co-habitation with FHP) and clinical factors (control rate of 'ABC' risk factors at baseline).

Significance:

The Chinese government has placed prevention and treatment of diabetes as one of 11 National Basic Public Health Services. Despite great promise for mobile health (mHealth) interventions to improve access to effective healthcare, there remains uncertainty about how this can be successfully achieved. These uncertainties pose substantial dilemmas for health system planners. The findings are likely to inform policy on a scalable strategy to overcome sub-optimal access to effective health care in China.

02

Conditions studied

  • Diabetes Mellitus, Type 2
  • Hypertension
  • Dyslipidemias

Keywords

  • Telemedicine
  • Diabetes Mellitus, Type 2
  • Decision Support Systems, Clinical
  • Family Health Promoter
  • Primary Health Care
03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 2,073 is above the median of 80 across 8,367 interventional studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

The George Institute for Global Health, China is the lead sponsor of 16 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Established T2DM
  • HbA1C >= 7%
  • Nominated family member with mobile internet access who agrees to be a family health promoter (FHP)
  • Able to provide informed consent

Exclusion criteria

Exclusion Criteria:

Psychologically or physically unable to participate the trials.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Investigator, Outcomes assessor)
Enrollment
2,073 participants (actual)

Study arms

  • Experimental
    Intervention arm

    Participants in intervention communities will receive the SMARTHealth Diabetes intervention that connects community health service centers and family health providers for diabetes management. Medical staff and FHPs in the intervention communities will be provided with an initial training session on the installation and use of the platform.

    Behavioral: SMARTHealth Diabetes

  • No intervention
    Control arm

    Control group doesn't use SMARTHealth Diabetes.The "usual-care" in our study will be conducted in a standard way which is defined in the Guidance of National Essential Public Health Service. All the relevant doctors in control group will be trained and required to record the activities defined in the guidance.

Interventions

  • BehavioralSMARTHealth Diabetes

    SMARTHealth Diabetes is an interactive mobile health platform to promote improved self-management for people with T2DM.

06

What researchers measure

Primary outcomes

  1. The proportion of patients achieving at least two "ABC" goals

    The proportion of patients achieving at least two "ABC" goals defined as any two of the following: HbA1c \<7.0%, blood pressure (BP) \<140/80mmHg and LDL cholesterol \<100mg/dl or 2.6mmol/L) at 24 months

    Time frame: 24 months

Secondary outcomes

  1. The proportion of patients achieving the "A" goal

    The proportion of patients achieving HbA1c \<7.0% at 24 months

    Time frame: 24 months

  2. The proportion of patients achieving the "B" goal

    The proportion of patients achieving blood pressure (BP) \<140/80mmHg at 24 months

    Time frame: 24 months

  3. The proportion of patients achieving the "C" goal

    The proportion of patients achieving LDL cholesterol \<100mg/dl or 2.6mmol/L at 24 months

    Time frame: 24 months

  4. The proportion of patients achieving FPG<7.0 mmol/L

    The proportion of patients achieving FPG\<7.0 mmol/L at 24 months

    Time frame: 24 months

  5. Mean change in HbA1c level

    Mean change in HbA1c level from baseline to 24 months

    Time frame: 24 months

  6. Mean changes in systolic and diastolic blood pressure levels

    Mean changes in systolic and diastolic blood pressure levels from baseline to 24 months

    Time frame: 24 months

  7. Mean change in LDL cholesterol level

    Mean change in LDL cholesterol level from baseline to 24 months

    Time frame: 24 months

  8. Mean change in FPG level

    Mean change in FPG level from baseline to 24 months

    Time frame: 24 months

  9. Mean change in the Summary of Diabetes Self-Care Activities (SDSCA) from baseline to 24 month

    The Summary of Diabetes Self-Care Activities is a scale to measure patients' self-management. The minimum value of each scale item is 0 and the maximum value is 7. Higher scores mean a better outcome.

    Time frame: 24 months

Other outcomes

  1. Mean change in body mass index (BMI)

    Mean change in body mass index (BMI) from baseline to 24 months

    Time frame: 24 months

  2. Mean change in waist circumstance (WC)

    Mean change in waist circumstance (WC) from baseline to 24 months

    Time frame: 24 months

  3. Mean change in the European quality of life 5 dimensions 3 levels scale (EQ-5D-3L) index value

    Mean change in the European quality of life 5 dimensions 3 levels scale (EQ-5D-3L) index value from baseline to 24 months. The minimum value of the scale is 0 and the maximum value is 1. Higher scores mean a better outcome.

    Time frame: 24 months

  4. Mean change in the European quality of life overall self-rated visual analogue scale (EQ-VAS)

    Mean change in the European quality of life overall self-rated visual analogue scale (EQ-VAS) from baseline to 24 months. The minimum value of the scale is 0 and the maximum value is 100. Higher scores mean a better outcome.

    Time frame: 24 months

  5. Mean change in The Summary of Diabetes Self-Care Activities (SDSCA) from baseline to 24 months

    Pending

    Time frame: 24 months

  6. Mean change in urine albumin creatinine ratio (ACR)

    Mean change in urine albumin creatinine ratio (ACR) from baseline to 24 months

    Time frame: 24 months

  7. Mean change in estimated glomerular filtration rate (GFR)

    Mean change in estimated glomerular filtration rate (GFR) from baseline to 24 months

    Time frame: 24 months

07

Study locations

2 sites
  • Hebei Medical University
    Shijiazhuang, Hebei 050017, China
  • Center of Disease Control and Prevention, Luquan
    Shijiazhuang, Hebei 050200, China
08

References and documents

Publications

  • Peiris D, Sun L, Patel A, Tian M, Essue B, Jan S, Zhang P. Systematic medical assessment, referral and treatment for diabetes care in China using lay family health promoters: protocol for the SMARTDiabetes cluster randomised controlled trial. Implement Sci. 2016 Aug 17;11(1):116. doi: 10.1186/s13012-016-0481-8. PubMed 27535128 ↗

Individual participant data

Plan to share: No — Data are only accessed by investigators.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 12, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02726100
Lead sponsor
The George Institute for Global Health, China
Collaborators
Global Alliance for Chronic Diseases (GACD), National Health and Medical Research Council, Australia
Responsible party
Puhong Zhang (Associate Director, The George Institute for Global Health, China) — Principal investigator
First posted
Apr 1, 2016
Start date
Aug 1, 2017
Primary completion
Oct 19, 2019
Completion
Feb 28, 2021
Last update
Mar 12, 2021

Study contacts

Puhong Zhang, PhD
principal investigator · The George Institute for Global Health at Peking University Health Science Center
David Peiris, PhD
principal investigator · The George Institute for Global Health, University of Sydney

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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