8 research outputs found
Additional file 4 of 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
Additional file 4. SPIRIT checklist
Additional file 5 of 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
Additional file 5. Essentials of Training Manuals for Village Doctors in Intervention Villages. Translations of training manuals essentials for systematic training on village doctors in intervention villages
Additional file 2 of 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
Additional file 2. PAPMed trial registration data. Detailed data on PAPMed trial registration in clinicaltrials.gov and Chinese Clinical Trial Registry
Additional file 1 of 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
Additional file 1. Essentials of Nantong City’s Policy on the Reimbursement of Chronic Disease Medicines. Translations of essentials of Nantong City local governmental policy, “Issuance of the Implementation Rules for the Management of Outpatient Medication for Hypertension and Diabetes in Nantong Resident Medical Insurance”
Additional file 3 of 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
Additional file 3. Written consent form. Written consent form for participated village doctors
PCA and OPLS-DA data
This is a simca-p type file, which contain the relavant parameters of PCA and OPLS-DA models
Raw data of peak numbers and their corresponding areas
Raw data of peak numbers and their corresponding areas from crude and processed samples obtained form GC-MS for multivariate data analysis
Figure S1. Profile of volatiles in blank sample obtained by GC-MS from Discrimination of volatiles in herbal formula Baizhu Shaoyao San before and after processing using needle trap device with multivariate data analysis
The blank value of NTD method was tested under the same conditions of the sample, which showed very low background interference