Skip to main content

Table 4 Blood pressure (mm Hg) estimated by DID model with STATA

From: Improving health related quality of life among rural hypertensive patients through the integrative strategy of health services delivery: a quasi-experimental trial from Chongqing, China

Outcome Variable

(y)

Baseline

Follow-up

Control

\( \left({\widehat{\upbeta}}_0\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+\widehat{\upgamma}\right) \)

Diff (BL)

\( \left(\widehat{\upgamma}\right) \)

Control

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1+\widehat{\upgamma}+\widehat{\updelta}\right) \)

Diff (FU)

\( \left(\widehat{\upgamma}+\widehat{\updelta}\right) \)

DIFF-IN-DIFF

\( \left(\widehat{\updelta}\right) \)

SBP

137.15

139.08

1.93

135.24

131.55

−3.69

−5.62

S.E.

10.13

8.64

12.76

8.42

9.17

11.02

16.49

p

  

0.205

  

0.047

0.019

DBP

97.28

96.44

−0.84

97.12

90.85

−6.27

−5.43

S.E.

11.09

10.52

14.41

11.25

9.89

13.66

15.07

p

  

0.557

  

0.013

0.028

  1. * Means and Standard Errors were estimated by linear regression.