Viewing Study NCT04731194


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Study NCT ID: NCT04731194
Status: UNKNOWN
Last Update Posted: 2021-07-20
First Post: 2021-01-14
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Promoting Medication Reimbursement Policy (PAPMed)
Sponsor: Duke Kunshan University
Organization:

Study Overview

Official Title: 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
Status: UNKNOWN
Status Verified Date: 2021-07
Last Known Status: RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: PAPMed
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.
Detailed Description: 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.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: