Promoting Medication Reimbursement Policy (PAPMed)
PAPMed
Promoting the Adoption of Local Government Policy on the Reimbursement of Chronic Disease Medicines (PAPMed): a Field-based Cluster-Randomized Controlled Trial in Rural Nantong, China
1 other identifier
interventional
5,000
1 country
1
Brief Summary
Rationale: Chronic non-communicable diseases (NCDs) have become the leading cause of morbidity and mortality in China. Rural NCDs patients are more likely to suffer from poverty. Nantong city has established a reimbursement plan covering 50% of hypertension and diabetes medication costs, however, various barriers prevent patients from taking advantage of this policy. Objectives: To evaluate the effectiveness of the intervention on saving medical costs and promoting health in rural populations. Study design: a cluster-randomized controlled trial. Study population: village doctors and health insurance officials at township hospitals are implementors of the intervention. Patients in the basic public health service system are the target populations of the intervention. Randomization: 31 villages are included in the study. 1 village is randomly dropped, and the rest of the villages will be randomly assigned to the intervention and control group stratified by township with an allocation ratio of 1:1. Intervention and follow-up: village doctors will promote policy awareness and support patients registration. They will follow-up patients on the 1st, 3rd, and 6th month and receive financial incentives based on their performance of supporting patients registration and encouraging patients to buy medications in designated medical institutions to be reimbursed. Control: The control group would serve as a natural baseline and do not receive any intervention. Outcomes: Patients' registration rate, medical costs saved, medication compliance rate, and improvements on health indicators will be evaluated based on real-world medical examination, prescription, and insurance data. Sample size: an estimated sample of 5000 patients from 30 clusters will be registered in the policy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2021
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 14, 2021
CompletedFirst Posted
Study publicly available on registry
January 29, 2021
CompletedStudy Start
First participant enrolled
January 30, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
October 30, 2021
CompletedJuly 20, 2021
July 1, 2021
7 months
January 14, 2021
July 17, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
Registration Rate
The percentage of patients registered to the policy in the health insurance system
6 months
Secondary Outcomes (7)
Registration number
6 months
Medical costs saved
6 months
Doctor visiting frequency
6 months
Medication compliance rate
6 months
Blood pressure
6 months
- +2 more secondary outcomes
Study Arms (2)
performance-based financial incentive program
EXPERIMENTALVillage doctors in villages of the intervention group will promote policy awareness, support registration, follow-up patients, and receive financial incentives based on their performance.
current situation
NO INTERVENTIONVillage doctors in villages of the control group will not be contacted. The control group would serve as a natural baseline and do not receive any intervention.
Interventions
1. Enhance policy awareness through verbal communication with patients, distributing picture-rich fliers to patients, and putting up large posters in public places of the villages. 2. Support patients' registration in the reimbursement system 3. Follow-up patients after the first, third, and sixth months after the start of the study, measuring blood pressure and blood glucose level. Encourage patients to purchase medications from public institutions and to take their medications on time. 4. Receive financial incentives based on performance in the amount of 3 RMB per patient enrolled (first month) and 5 RMB per patient (at third and sixth month) buying medications with reimbursement from the policy.
Eligibility Criteria
You may qualify if:
- To be eligible to register in the medication reimbursement policy, patients need to be:
- Living in the service areas of the village clinics
- Officially diagnosed with hypertension and/or diabetes in a township level hospital or above
- Registered as a hypertensive and/or diabetic patient in the public health service system
You may not qualify if:
- Not part of the New Cooperative Medical Scheme (NCMS) for rural residents
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Duke Kunshan Universitylead
- Duke Universitycollaborator
- Nantong Universitycollaborator
Study Sites (1)
Nantong University
Nantong, Jiangsu, 226019, China
Related Publications (1)
He Z, Cao X, Zhao D, Tang Z, Zhao J, Beasley M, Renne A, Liu L, Zhu S, Gao Y, Yan LL. Promoting the adoption of local governmental policy on the reimbursement of chronic disease medicines (PAPMed): study protocol of a field-based cluster randomized trial in rural Nantong, China. Trials. 2022 Sep 15;23(1):785. doi: 10.1186/s13063-022-06710-1.
PMID: 36109757DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
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
January 14, 2021
First Posted
January 29, 2021
Study Start
January 30, 2021
Primary Completion
August 31, 2021
Study Completion
October 30, 2021
Last Updated
July 20, 2021
Record last verified: 2021-07
Data Sharing
- IPD Sharing
- Will not share