| Literature DB >> 30029653 |
Shaofan Chen1,2, Bo Burström3,4,5, Vibeke Sparring6, Dongfu Qian7,8.
Abstract
BACKGROUND: Chronic diseases are becoming a huge threat to the Chinese health system. Although the New Round of Medical Reform aims to improve this, the chronic disease management in rural China is still worrying as it relies highly on hospital care instead of primary care. The vertical integrated care model has proven to be effective for chronic disease patients in many high-income countries, while few studies have been conducted in China. In this project, vertical integrated care will be applied to optimize the care of patients with type 2 diabetes mellitus (T2DM) and primary hypertension in rural China, and to shift the care from hospital to primary care.Entities:
Keywords: China; Chronic disease; Healthcare reform; Rural; Vertical integration
Mesh:
Year: 2018 PMID: 30029653 PMCID: PMC6053730 DOI: 10.1186/s12913-018-3355-8
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Logic model of the intervention
Inclusion and exclusion criteria
| Inclusion criteria | |
| • | Diagnosed with primary hypertension /type 2 diabetes and has been on medications for more than 1 month.a |
| • | Aged 35–75. |
| • | Has lived in the intervention/control areas for more than 2 years, no records of moving within the last year. |
| • | Has his/her records on the chronic disease management information system of township health centre or village clinic. |
| • | Has accepted the chronic disease service provided by township health center or village clinic. |
| • | Is willing to participate in the project and has a preferable compliance, cognition and receptivity. |
| Exclusion criteria | |
| • | Has serious complications related to diabetes or hypertension. |
| • | Has been diagnosed with secondary hypertension. |
| • | Has been diagnosed with any other serious disease. |
| • | Is pregnant or has psychiatric problems. |
a. Hypertension: Blood pressure ≥ 140/90 mmHg; Diabetes: Fasting Blood Glucose (FBG) ≥7.0 mmol/l, and/or 2 h Postprandial Blood Glucose (2hPBG) ≥ 11.1 mmol/l
Distribution of patient participants by pilot counties and townships
| Intervention group | Control group | |||||
|---|---|---|---|---|---|---|
| County | Township | Disease | Township | Disease | ||
| Diabetes (n) | Hypertension (n) | Diabetes (n) | Hypertension (n) | |||
| Huaiyina
| Nanchenji | 185 | – | Zhaoji | 174 | – |
| Yangzhuang | 173 | – | Yuanji | 169 | – | |
| Xindu | – | 171 | Wangxing | – | 204 | |
| Lingqiao | – | 180 | Sanshu | – | 191 | |
| Sum | 358 | 351 | Sum | 343 | 395 | |
| Jingjiang | Dongxing | 97 | 122 | Chengnan | 110 | 130 |
| Xieqiao | 87 | 151 | Huifeng | 87 | 122 | |
| Houhe | 83 | 139 | Gushan | 88 | 132 | |
| Sum | 267 | 412 | Sum | 285 | 384 | |
| Gaochun | Qiqiao | 86 | 98 | Chunxi | 65 | 132 |
| Zhuanqiang | 87 | 91 | Gubo | 80 | 104 | |
| Yangjiang | 90 | 96 | Gucheng | 90 | 85 | |
| Dongba | 84 | 95 | Yaxi | 92 | 90 | |
| Sum | 347 | 380 | 327 | 411 | ||
aDue to a different recruitment strategy
The distribution of healthcare professional participants in pilot counties
| Activity | Specific activity | Institution/Professional position | County name | ||
|---|---|---|---|---|---|
| Huaiyin | Jingjiang | Gaochun | |||
| Questionnaire | Questionnaire for medical personnel | County level hospitals | 6 | 10 | 5 |
| Township health centres | 56 | 41 | 45 | ||
| Village clinics | 47 | 25 | 27 | ||
| Sum | 109 | 76 | 77 | ||
| Questionnaire about professional qualification | County level hospitals & township health centres | 53 | 34 | 44 | |
| Village clinics | 50 | 25 | 29 | ||
| Sum | 103 | 59 | 73 | ||
| In-depth interview | Head of the health bureaus | 0 | 0 | 1 | |
| Public health directors | 1 | 5 | 3 | ||
| Directors of hospitals | 1 | 3 | 3 | ||
| Village doctors | 4 | 7 | 1 | ||
| Doctors in county level hospital | 0 | 2 | 0 | ||
| Doctors in township health centre | 0 | 2 | 0 | ||
| Head of health insurance department | 0 | 0 | 1 | ||
| Sum | 6 | 19 | 9 | ||
Baseline data analysis on the socioeconomic variables for patients
| Hypertension | Diabetes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Intervention | Control | Intervention | Control | ||||||||
| N | % | N | % | N | % | N | % | ||||
| Mean (SD) age | 62.21 (8.17) | 62.70 (8.14) | 0.24 | 61.95 (8.36) | 61.35 (8.90) | 0.23 | |||||
| Sex | Male | 329 | 43.5 | 309 | 40.4 | 0.23 | 193 | 30.2 | 180 | 31.3 | 0.71 |
| female | 427 | 56.5 | 455 | 59.6 | 446 | 69.8 | 396 | 68.8 | |||
| Marital status | Single | 104 | 13.8 | 126 | 16.5 | 0.15 | 82 | 12.9 | 84 | 14.6 | 0.40 |
| Married | 649 | 86.2 | 637 | 83.5 | 566 | 87.1 | 490 | 85.4 | |||
| Education | Lower educationa | 518 | 68.6 | 550 | 72.2 | 0.13 | 465 | 72.8 | 420 | 73.0 | 0.95 |
| Higher educationb | 237 | 31.4 | 212 | 27.8 | 174 | 27.2 | 155 | 27.0 | |||
| Occupation | Farming or house working | 616 | 81.5 | 645 | 84.8 | 0.10 | 520 | 81.6 | 481 | 83.8 | 0.32 |
| Non-farming or others | 140 | 18.5 | 116 | 15.2 | 117 | 18.4 | 93 | 16.2 | |||
| Healthcare insurance | NRCMSc | 704 | 93.1 | 678 | 89.2 | 0.24 | 571 | 89.5 | 493 | 86.2 | 0.37 |
| UEMId | 19 | 2.5 | 52 | 6.8 | 23 | 3.6 | 43 | 7.5 | |||
| URMIe | 21 | 2.8 | 21 | 2.8 | 38 | 6.0 | 29 | 5.1 | |||
| Other types of insurance or no insurance | 12 | 1.6 | 9 | 1.2 | 6 | 0.9 | 7 | 1.2 | |||
a. Lower education Primary school education or lower
b. Higher education Middle school education or higher
c. NRCMS New Rural Cooperative Medical System
d. UEMI Urban Employee Medical Insurance
e. URMI Urban Residents Medical Insurance