| Literature DB >> 27552845 |
Yudong Miao1, Liang Zhang1, Vibeke Sparring2, Sandeep Sandeep1, Wenxi Tang1, Xiaowei Sun1, Da Feng1, Ting Ye3.
Abstract
BACKGROUND: Integrative strategy of health services delivery has been proven to be effective in economically developed countries, where the healthcare systems have enough qualified primary care providers. However rural China lacks such providers to act as gatekeeper, besides, Chinese rural hypertensive patients are usually of old age, more likely to be exposed to health risk factors and they experience a greater socio-economic burden. All these Chinese rural setting specific features make the effectiveness of integrative strategy of health services in improving health related quality of life among Chinese rural hypertensive patients uncertain.Entities:
Keywords: Difference-in-differences; Health-related quality of life; Hypertension; Quasi-experimental trial; SF-36
Mesh:
Year: 2016 PMID: 27552845 PMCID: PMC4995617 DOI: 10.1186/s12939-016-0421-x
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1Showed the location of the six towns enrolled into this quasi-experimental trial
Fig. 2Showed the study flow chart outlining the recruitment, allocation to different groups and the field surveys on the health related quality of life in rural hypertensive patients
Fig. 3Showed the integrative strategy of health services delivery: the main inclusive elements of the intervention contributed collaboratively by physicians in the 3-level healthcare system
Composition of the intervention group and control group
| Group | Town | Baseline | Follow-up |
| ||
|---|---|---|---|---|---|---|
| Frequency | Percentage (%) | Frequency | Percentage (%) | |||
| Intervention group | 1006 | 70.5 | 781 | 72.1 |
| |
| Apengjiang | 252 | 17.7 | 175 | 16.2 |
| |
| Zhuoshui | 297 | 20.8 | 238 | 22.0 |
| |
| Shihui | 307 | 21.5 | 256 | 23.7 |
| |
| Jinxi | 150 | 10.5 | 112 | 10.3 |
| |
| Control group | 420 | 29.5 | 302 | 27.9 |
| |
| Fengjia | 216 | 15.1 | 155 | 14.3 |
| |
| Shijia | 204 | 14.3 | 147 | 13.6 |
| |
| Total | 1426 | 100.0 | 1083 | 100.0 |
| |
Socio-demographic characteristics of the patients surveyed by SF-36 scale at baseline and follow-up
| Variables | Baseline | Follow-up | |||||
|---|---|---|---|---|---|---|---|
| Intervention group | Control group |
| Intervention group | Control group |
| ||
| Sex (%) |
|
| |||||
| Male | 45.2 | 44.0 | 44.9 | 55.1 | |||
| Female | 54.8 | 56.0 | 44.7 | 55.3 | |||
| Age(year; | 66.3 ± 10.7 | 65.8 ± 11.5 |
| 68.20 ± 11.0 | 67.79 ± 11.5 |
| |
| Education (%) |
|
| |||||
| Illiteracy | 35.0 | 39.5 | 17.4 | 17.2 | |||
| Primary school | 47.3 | 44.5 | 29.4 | 36.1 | |||
| Middle school or higher | 17.2 | 16.0 | 53.2 | 46.7 | |||
| Occupation (%) |
|
| |||||
| Farmer | 94.1 | 96.2 | 93.2 | 94.7 | |||
| Non-farmer | 5.9 | 3.8 | 6.8 | 5.3 | |||
| Duration of hypertension (year; | 3.4 ± 4.6 | 3.8 ± 4.6 |
| 5.4 ± 4.6 | 5.8 ± 4.6 |
| |
Health related quality of life estimated by DID model with STATA
| Outcome Variable | Baseline | Follow-up | |||||
|---|---|---|---|---|---|---|---|
| Control | Intervention | Diff (BL) | Control | Intervention | Diff (FU) | DIFF-IN-DIFF | |
| SF-36 | 51.426 | 49.588 | −1.839 | 53.93 | 56.683 | 2.753 | 4.591 |
|
| 0.98 | 0.634 | 1.167 | 1.156 | 0.719 | 1.362 | 1.794 |
|
| 0.115 | 0.043 | 0.011 | ||||
| PF | 63.179 | 64.622 | 1.443 | 63.974 | 66.994 | 3.02 | 1.577 |
|
| 1.303 | 0.842 | 1.551 | 1.536 | 0.956 | 1.81 | 2.384 |
|
| 0.352 | 0.095 | 0.508 | ||||
| RP | 27.381 | 27.662 | 0.281 | 32.616 | 41.186 | 8.57 | 8.289 |
|
| 2.052 | 1.326 | 2.443 | 2.419 | 1.505 | 2.85 | 3.753 |
|
| 0.909 | 0.003 | 0.027 | ||||
| BP | 56.376 | 56.388 | 0.012 | 60.079 | 63.692 | 3.613 | 3.601 |
|
| 1.17 | 0.756 | 1.393 | 1.38 | 0.858 | 1.625 | 2.14 |
|
| 0.993 | 0.026 | 0.093 | ||||
| GH | 41.629 | 38.083 | −3.546 | 44.298 | 43.045 | −1.253 | 2.293 |
|
| 1.259 | 0.814 | 1.499 | 1.485 | 0.924 | 1.749 | 2.303 |
|
| 0.018 | 0.474 | 0.32 | ||||
| VT | 52.25 | 52.214 | −0.036 | 56.995 | 58.686 | 1.691 | 1.727 |
|
| 0.924 | 0.597 | 1.1 | 1.089 | 0.678 | 1.283 | 1.69 |
|
| 0.974 | 0.188 | 0.307 | ||||
| SF | 71.339 | 65.249 | −6.091 | 70.447 | 74.119 | 3.672 | 9.762 |
|
| 1.103 | 0.713 | 1.314 | 1.301 | 0.81 | 1.532 | 2.019 |
|
| 0.000 | 0.017 | 0.000 | ||||
| RE | 44.762 | 38.806 | −5.956 | 49.448 | 56.026 | 6.578 | 12.534 |
|
| 2.232 | 1.443 | 2.657 | 2.632 | 1.637 | 3.099 | 4.083 |
|
| 0.025 | 0.034 | 0.002 | ||||
| MH | 54.495 | 53.68 | −0.816 | 60.149 | 61.346 | 1.197 | 2.013 |
|
| 0.874 | 0.565 | 1.041 | 1.031 | 0.641 | 1.214 | 1.599 |
|
| 0.433 | 0.324 | 0.208 | ||||
* Means and Standard Errors were estimated by linear regression.
Blood pressure (mm Hg) estimated by DID model with STATA
| Outcome Variable | Baseline | Follow-up | |||||
|---|---|---|---|---|---|---|---|
| Control | Intervention | Diff (BL) | Control | Intervention | Diff (FU) | DIFF-IN-DIFF | |
| SBP | 137.15 | 139.08 | 1.93 | 135.24 | 131.55 | −3.69 | −5.62 |
|
| 10.13 | 8.64 | 12.76 | 8.42 | 9.17 | 11.02 | 16.49 |
|
| 0.205 | 0.047 | 0.019 | ||||
| DBP | 97.28 | 96.44 | −0.84 | 97.12 | 90.85 | −6.27 | −5.43 |
|
| 11.09 | 10.52 | 14.41 | 11.25 | 9.89 | 13.66 | 15.07 |
|
| 0.557 | 0.013 | 0.028 | ||||
* Means and Standard Errors were estimated by linear regression.