Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Source
2.2. Indicators
2.3. Statistical Analysis
3. Results
3.1. Trends in Hypertension Prevalence and Healthcare in China
3.2. Socioeconomic Inequalities in Healthcare and Outcomes
3.3. Results of Multivariate Regression Analysis
4. Discussion
4.1. Trends in Hypertension Prevalence and Treatment in China
4.2. Health Service Use among Chinese Adults with Hypertension
4.3. Low Level of Control for Hypertension in China
4.4. Socioeconomic Inequalities in Hypertenison Care
4.5. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Measures | Definition |
---|---|
Prevalence | Systolic blood pressure ≥140 mmHg and/or diastolic blood pressure≥90 mmHg and/or self-reported antihypertensive medication use at the time of the investigation |
Hypertension care | |
Awareness | Hypertensive persons who reported the doctor's diagnosis of hypertension previously or current use of antihypertensive medication |
Treatment | Identified hypertensive adults who reported current use of antihypertensive medication |
Control | Identified hypertensive adults whose systolic blood pressure was <140 mmHg and whose diastolic blood pressure was <90 mmHg |
Health service utilisation | |
Outpatient visit | ‘In the last month have you visited a public hospital, private hospital, public health centre, clinic, or doctor’s practice, or been visited by a doctor for outpatient care?’ |
Inpatient visit | ‘Have you received inpatient care in the past year?’ |
Health education | Health education provided by health professionals, which includes weight control, exercise, healthy diet and aspects of smoking control |
2011 | 2013 | 2015 | p Value | |||||||
---|---|---|---|---|---|---|---|---|---|---|
N | Unweighted (%) | Weighted (%) | N | Unweighted (%) | Weighted (%) | N | Unweighted (%) | Weighted (%) | ||
Total population | 13,725 | 100.00 | 100.00 | 10,893 | 100.00 | 100.00 | 11,675 | 100.00 | 100.00 | |
Prevalence | 5285 | 38.51 | 40.78 | 4666 | 42.83 | 43.25 | 4874 | 41.75 | 41.81 | <0.001 |
Among people with hypertension | ||||||||||
Awareness | 2976 | 56.31 | 55.87 | 2876 | 61.64 | 60.04 | 3316 | 68.03 | 68.31 | <0.001 |
Without comorbidity | 755 | 43.07 | 42.19 | 598 | 46.39 | 44.48 | 734 | 54.29 | 55.80 | <0.001 |
With comorbidity | 2221 | 62.88 | 63.38 | 2278 | 67.46 | 66.77 | 2582 | 73.31 | 73.32 | <0.001 |
Medication treatment | 2579 | 48.80 | 48.44 | 2485 | 53.26 | 52.57 | 2980 | 61.14 | 61.97 | <0.001 |
Without comorbidity | 638 | 36.39 | 35.40 | 473 | 36.70 | 36.39 | 645 | 47.71 | 49.59 | <0.001 |
With comorbidity | 1941 | 54.95 | 55.60 | 2012 | 59.58 | 59.56 | 2335 | 66.30 | 66.93 | <0.001 |
Blood pressure control | 1072 | 20.28 | 19.34 | 1064 | 22.80 | 22.19 | 1326 | 27.21 | 28.57 | <0.001 |
Without comorbidity | 250 | 14.26 | 13.24 | 189 | 14.66 | 12.79 | 268 | 19.82 | 22.96 | <0.001 |
With comorbidity | 822 | 23.27 | 22.69 | 875 | 25.91 | 26.25 | 1058 | 30.04 | 30.81 | <0.001 |
Health Service Use | 2011 | 2013 | 2015 | p Value | ||||||
---|---|---|---|---|---|---|---|---|---|---|
N | Unweighted (%) | Weighted (%) | N | Unweighted (%) | Weighted (%) | N | Unweighted (%) | Weighted (%) | ||
Proportion of outpatient visit | 1029 | 19.72 | 21.24 | 1084 | 23.60 | 23.38 | 988 | 20.62 | 20.60% | 0.105 |
Without comorbidity | 200 | 11.53 | 13.65 | 166 | 12.98 | 13.16 | 179 | 13.44 | 14.21% | 0.692 |
With comorbidity | 829 | 23.81 | 25.43 | 918 | 27.70 | 27.84 | 809 | 23.39 | 23.18% | 0.226 |
Proportion of inpatient visit | 577 | 10.93 | 10.68 | 754 | 16.19 | 17.68 | 861 | 17.72 | 17.41% | <0.001 |
Without comorbidity | 100 | 5.72 | 5.62 | 93 | 7.24 | 14.73 | 154 | 11.44 | 11.82% | <0.001 |
With comorbidity | 477 | 13.51 | 13.45 | 661 | 19.60 | 18.95 | 707 | 20.12 | 19.66% | <0.001 |
Proportion of health education | 1717 | 32.49 | 33.67 | 1713 | 36.71 | 36.55 | 1942 | 39.84 | 39.79% | <0.001 |
Without comorbidity | 388 | 22.13 | 22.87 | 280 | 21.72 | 22.54 | 413 | 30.55 | 30.37% | <0.001 |
With comorbidity | 1329 | 37.63 | 39.59 | 1433 | 42.43 | 42.60 | 1529 | 43.41 | 43.57% | <0.001 |
Wealth Group, PCE (Quintiles) | Awareness | Medication Treatment | BP Control | Outpatient Visit | Inpatient Visit | Health Education |
---|---|---|---|---|---|---|
1st (Poorest) | 64.82% | 57.71% | 24.28% | 17.41% | 8.01% | 31.63% |
2nd (Poor) | 65.43% | 59.88% | 27.99% | 21.41% | 14.28% | 41.68% |
3rd (Middle) | 71.04% | 63.52% | 32.14% | 17.84% | 17.67% | 46.70% |
4th (Rich) | 74.42% | 65.07% | 30.86% | 18.86% | 19.08% | 47.20% |
5th (Richest) | 71.97% | 66.66% | 34.32% | 25.65% | 23.27% | 42.95% |
Ratio (Richest/Poorest) | 1.11 | 1.16 | 1.41 | 1.47 | 2.91 | 1.36 |
CIc | 0.007 | 0.010 | 0.008 | 0.033 | 0.086 *** | −0.004 |
Variable (Reference) | SBP-Model 1 | SBP-Model 2 | DBP-Model 1 | DBP-Model 2 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
β | 95% CI | β | 95% CI | β | 95% CI | β | 95% CI | |||||
Main effects | ||||||||||||
Treatment (no) | −13.483 | −15.672 | −11.293 | −16.115 | −28.382 | −3.848 | −5.367 | −6.390 | −4.344 | −8.326 | −14.048 | −2.604 |
Age | −0.386 | −0.674 | −0.097 | −0.388 | −0.677 | −0.100 | −0.121 | −0.255 | 0.013 | −0.121 | −0.255 | 0.013 |
PCE, Quintile 1st | ||||||||||||
2nd | −3.125 | −5.419 | −0.830 | −1.736 | −5.400 | 1.928 | −0.508 | −1.576 | 0.560 | −0.002 | −1.710 | 1.707 |
3rd | 0.025 | −2.338 | 2.388 | 2.094 | −1.664 | 5.853 | −0.215 | −1.316 | 0.885 | 0.150 | −1.604 | 1.903 |
4th | 0.313 | −2.179 | 2.806 | 2.757 | −1.035 | 6.548 | −0.231 | −1.392 | 0.931 | −0.441 | −2.213 | 1.331 |
5th | −2.066 | −4.740 | 0.608 | −0.190 | −4.574 | 4.193 | −0.197 | −1.442 | 1.047 | 0.402 | −1.642 | 2.446 |
BMI | 0.126 | −0.221 | 0.474 | 0.005 | −0.448 | 0.457 | 0.175 | 0.013 | 0.336 | 0.084 | −0.126 | 0.295 |
Comorbidity (no) | −1.353 | −4.980 | 2.275 | −1.400 | −5.839 | 3.039 | −1.853 | −3.545 | −0.162 | −1.596 | −3.673 | 0.481 |
Smoking (no) | 3.492 | −0.586 | 7.569 | 3.327 | −0.759 | 7.413 | 0.130 | −1.773 | 2.032 | 0.133 | −1.773 | 2.040 |
Drinking (no) | 1.527 | −1.084 | 4.139 | 1.512 | −1.101 | 4.125 | 0.980 | −0.236 | 2.196 | 0.975 | −0.242 | 2.192 |
Interaction effects | ||||||||||||
Treatment × PCE | ||||||||||||
Treatment × 2nd | −2.381 | −7.080 | 2.318 | −0.815 | −3.006 | 1.376 | ||||||
Treatment × 3rd | −3.459 | −8.169 | 1.251 | −0.629 | −2.824 | 1.566 | ||||||
Treatment × 4th | −4.090 | −8.879 | 0.698 | 0.353 | −1.882 | 2.587 | ||||||
Treatment × 5th | −3.078 | −8.323 | 2.167 | −0.885 | −3.329 | 1.559 | ||||||
Treatment × BMI | 0.204 | −0.262 | 0.670 | 0.146 | −0.072 | 0.363 | ||||||
Treatment × Comorbidity | 0.134 | −4.080 | 4.348 | −0.423 | −2.396 | 1.550 | ||||||
Constant | 176.336 | 156.896 | 195.776 | 178.044 | 157.463 | 198.625 | 91.426 | 82.380 | 100.471 | 93.207 | 83.630 | 102.784 |
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Zhao, Y.; Mahal, A.S.; Haregu, T.N.; Katar, A.; Oldenburg, B.; Zhang, L. Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015. Int. J. Environ. Res. Public Health 2019, 16, 4578. https://doi.org/10.3390/ijerph16224578
Zhao Y, Mahal AS, Haregu TN, Katar A, Oldenburg B, Zhang L. Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015. International Journal of Environmental Research and Public Health. 2019; 16(22):4578. https://doi.org/10.3390/ijerph16224578
Chicago/Turabian StyleZhao, Yang, Ajay Singh Mahal, Tilahun Nigatu Haregu, Ameera Katar, Brian Oldenburg, and Luwen Zhang. 2019. "Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015" International Journal of Environmental Research and Public Health 16, no. 22: 4578. https://doi.org/10.3390/ijerph16224578
APA StyleZhao, Y., Mahal, A. S., Haregu, T. N., Katar, A., Oldenburg, B., & Zhang, L. (2019). Trends and Inequalities in the Health Care and Hypertension Outcomes in China, 2011 to 2015. International Journal of Environmental Research and Public Health, 16(22), 4578. https://doi.org/10.3390/ijerph16224578