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Table 3 Calculation of the probability of correct management in the rural healthcare system

From: Provider competence in hypertension management and challenges of the rural primary healthcare system in Sichuan province, China: a study based on standardized clinical vignettes

Scenario

VCs

THCs

CHs

Total

Scenario 1

 1. Initial visit

50.2%*15.5%

29.8%*38.8%

16.0%*38.8%

25.6%

 2. Referral from VC

–

50.2%*7.8%*38.8%

50.2%*4.9%*38.8%

2.5%

 3. Referral from THCa

–

–

50.2%*7.8%*1.2%*38.8%+

29.8%*16.0%*38.8%

1.8%

Total

7.8%

13.1%

9.0%

29.8%

Scenario 2

 1. Initial visit

100%*15.5%

0.0%

0.0%

15.5%

 2. Referral from VC

–

100%*7.8%*38.8%

100%*4.9*38.8%

4.9%

 3. Referral from THC

–

–

100%*7.8%*1.2%*38.8%

0.0%

Total

15.5%

3.0%

5.0%

20.5%

Scenario 3

 1. Initial visit

0.0%

100%*38.8%

0.0%

38.8%

 2. Referral from VC

–

–

–

 

 3. Referral from THC

–

–

100%*16.0%*38.8%

6.2%

Total

0.0%

38.8%

6.2%

45.0%

  1. Note: Based on the appointment data of the patients, three groups were constructed within each scenario: initial visits, referral from a VC, and referral from a THC. We did not collect data on CHs, and, thus, we assume that CHs had correct treatment rates equal to those of the THCs, which is a conservative estimate, as CH providers have been shown to have higher rates of correct treatment than do THC providers when managing disease s[7]. We combined facility-level data (Table 2) and facility sorting behaviors (Supplementary Fig. 1) to calculate the probability of correct management on a facility level. The probability of correct management within the healthcare system was calculated by summing the results of the three levels