| Literature DB >> 31911516 |
Weiping Jia1,2, Puhong Zhang3,4, Nadila Duolikun3, Dalong Zhu5, Hong Li6, Yuqian Bao7, Xian Li4,8, Yu Liu9.
Abstract
INTRODUCTION: Diabetes management in primary care remains suboptimal in China, despite its inclusion in the essential public health service (EPHS). We aimed to evaluate the effectiveness of a mobile health (mHealth) based and three-tiered diabetes management system in diverse Chinese contexts. METHODS AND ANALYSIS: This is a cluster randomised controlled trial, named road to hierarchical diabetes management at primary care (ROADMAP). 19 008 patients with type 2 diabetes (T2D) were recruited from primary care clinics in 864 communities across 144 counties/districts of 24 provinces. Eligible participants were adult patients diagnosed with T2D and registered for diabetes management in communities. Patients within the same communities (clusters) were randomly allocated into the intervention or control arm for 1 year in a 2:1 ratio. The control arm patients received usual care as EPHS packaged: at least four blood glucose (BG) and blood pressure (BP) tests, and lifestyle and medication instruction, yearly, from primary care providers. The intervention arm patients received at least two BG and one BP tests, monthly, and lifestyle and treatment instruction from a three-tiered contracted team. A mHealth platform, Graded ROADMAP, enabled test results uploading and sharing, and patient referral within the team. The intervention participants will be further divided into basic or intensive intervention group according to whether they were actively using the Your Doctor App. The primary outcome is the BG control rate with glycated haemoglobin (HbA1c)<7.0%. Secondary outcomes include control rates and changes of ABC (HbA1c, BP and low-density lipoprotein cholesterol) and fasting BG, hypoglycaemia episodes and health-related quality of life (EuroQol (EQ-5D)). ETHICS AND DISSEMINATION: The trial has been approved by the Institutional Review Board at Shanghai Sixth People's Hospital. Findings on the intervention effectiveness will be disseminated through peer-reviewed journals, conference presentations and other relevant mechanisms. TRIAL REGISTRATION NUMBER: ChiCTR-IOC-17011325. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: cluster trial; management; mobile health; primary care; type 2 diabetes
Mesh:
Year: 2020 PMID: 31911516 PMCID: PMC6955560 DOI: 10.1136/bmjopen-2019-032734
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow chart of the ROADMAP study. (1) Provinces in the upper half of provincial gross domestic product per capita in fiscal year of 2017 are classified into developed areas, and those at lower half are less-developed areas; urban or rural areas are classified as per national administrative area category in 2017. (2) Your Doctor app is available for those participants who possess a smartphone and capable of using applications, enabling health education and real-time communication with doctors. Patients who have used ‘Your Doctor’ app will be regarded as receiving intensive intervention.
Eligibility criteria for study sites in ROADMAP study
| Study site at different levels | Eligibility criteria description |
| Province |
At least one provincial principal investigator with high impact in diabetes research is available and approved by ROADMAP working group. Provinces planning to develop or have had established a primary healthcare service based on electronic referral system will be excluded due to a potential technological conflict. |
| District/county |
County hospitals should be the main healthcare providing institution rather than tertiary hospitals to avoid affecting the process of patient referral and future impact evaluation. There is no generalised mHealth-based referral system in place, and an adequate level of community healthcare facilities and service is available. Local health authorities are aware of, support and are willing to be involved with the trial, anticipating to become an exemplary centre of diabetes management. There is at least one diabetes specialist able to take the role of county principal investigator/doctor to deliver training, support treatment and receive referral, as well as one county coordinator to facilitate trail implementation and fidelity assurance, also manage local study funds. There are at least one eligible sub-districts/towns available within each district/county. Legitimate healthcare facility that can provide formal invoices for all trial-incurred transactions. |
| Sub-district/town |
The methods and instruments are readily available to perform high-quality laboratory tests, including plasma glucose test, routine urinalysis, lipid profile, blood creatinine, liver function and ECG; having a non-mydriatic fundus camera is preferred. Insulin is available to store essential medicines. All participating doctors possess smartphones and are capable of using applications. There are six potential eligible communities available within each sub-district/town. T2D patients registered in the essential public healthcare service system have documented general information and contact details. |
| Community |
More than 35 registered patients with diagnosed T2D in community. The community is not involved in any other clinical trial. There is no mHealth-based referral system in use. All participating doctors possess and are capable of using smartphone (iOS 7 or Android 4.4 and above). No difficulty in installing and using applications. Community doctors are willing to participate in the trial. |
mHealth, mobile health; ROADMAP, road to hierarchical diabetes management at primary care; T2D, type 2 diabetes.
Diabetes management related training, technical support and health services provided for intervention and control arms
| Items | Control arm | Intervention arm |
| Capacity building for primary care providers | Provided by local health bureau, aims to implement EPHS, no national standard training material. | Trained by qualified trainers using national standard training materials, addressing major gaps in knowledge and skills in diabetes management, including diabetic peripheral neuropathy screening. |
| Technical support | Equipped with BG meter, BP monitor and body weight/height scale. Mostly equipped with electronic medical record system but unable to communicate with local medical centres. | Equipped with (1) a portable electronic BG meter that enables the test result uploaded to an electronic information platform in real time; (2) |
| Basic BG monitoring | At least four times of fasting BG test per year | Monthly or more frequently, ideally one fasting and one postprandial BG each time, emphasised as compulsory, with the hypothesis that the increased BG monitoring can improve behaviour change and medication activities. |
| Basic BP monitoring | At least four times per year | Monthly or more frequently, emphasised as compulsory. |
| Diabetic peripheral neuropathy screening | Not required | At least once per year with the hypotheses that (early) knowledge of diabetes complications can improve the adherence to diabetes control. This was suggested to start at the beginning of intervention. |
| Diet, physical exercise and medication instruction | Each time during face to face visit | Face to face, together with remote (online) communication through ‘Your Doctor’, an App supporting health education and treatment instruction through interactive real-time communication between the contacted doctors and patients (intensive intervention subgroup). |
| Patient referral | Major indications: (1) BG remains uncontrolled for two consecutive visits; (2) adverse drug reactions do not improve after two consecutive visits; or (3) new or aggravated complications. | Indications: similar to those in control arm. |
BG, blood glucose; BP, blood pressure; EPHS, essential public health service.
Data collection outline of ROADMAP study
| Assessment description | Patient | Baseline | End-of-study |
| Informed consent | X | ||
| Eligibility | X | X | |
| Reasons for non-participation | X | X | |
| Demographics, socio-economic status | X | ||
| Medical history, diabetes-related complications screenings | X | X | |
| Anthropometric measurements, physical examination, vital signs | X | X | |
| Diabetes self-management | X | X | |
| Costs of healthcare use | X | X | |
| Medications and treatment adherence | X | X | |
| Laboratory results | X | X | |
| Quality of life questionnaire | X | X | |
| Loss-to-follow-up/drop-out questionnaire | X |