| Literature DB >> 35842611 |
Chang-Li Li1, Meng Jiang2, Ke-Cheng Huang3, Jian Li4, Li-Gang Xu4.
Abstract
BACKGROUND: Understanding the trends and causes to the burden of maternal deaths is a key requirement to further reduce the maternal mortality ratio (MMR), and devise targeted intervention policy. We aimed to evaluate the spatiotemporal trends of MMRs and cause patterns across the 34 provinces of China during 1990-2017.Entities:
Keywords: Cause pattern; China; Maternal mortality ratios; Spatiotemporal trends
Mesh:
Year: 2022 PMID: 35842611 PMCID: PMC9288211 DOI: 10.1186/s12889-022-13770-0
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Provincial number of maternal deaths, MMR, annualized rates of change in MMR and percent MMR reduction between 1990 and 2017, and ratio of observed to expected maternal deaths
| Province | Number of maternal deaths | MMR | Annualized rate of change in MMR 1990–2017(%) | MMR reduction between 1990 and 2017 (%) | Observed/expected maternal deaths based on SDI | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| China overall | 22,615.2 | 5783.4 | 2240.5 | 95.2 | 39.7 | 13.6 | -7.0 | 85.7 | 0.27 | 0.25 | 0.29 |
| Anhui | 1366.9 | 244.3 | 85.0 | 92.2 | 28.7 | 10.0 | -8.21 | 89.2 | 0.19 | 0.10 | 0.11 |
| Beijing | 112.8 | 41.9 | 22.8 | 66.8 | 25.5 | 8.9 | -7.46 | 86.7 | 0.83 | 0.70 | 0.61 |
| Chongqing | 319.6 | 136.8 | 30.0 | 83.9 | 32.9 | 8.8 | -8.37 | 89.5 | 0.19 | 0.15 | 0.14 |
| Fujian | 443.6 | 109.8 | 38.8 | 58.3 | 18.0 | 6.5 | -8.13 | 88.9 | 0.16 | 0.13 | 0.17 |
| Gansu | 884.7 | 260.8 | 89.9 | 138.5 | 69.0 | 23.0 | -6.65 | 83.4 | 0.28 | 0.21 | 0.20 |
| Guangdong | 897.8 | 396.1 | 164.3 | 61.6 | 24.1 | 9.6 | -6.88 | 84.4 | 0.24 | 0.32 | 0.41 |
| Guangxi | 1314.3 | 210.9 | 91.5 | 178.7 | 51.0 | 14.7 | -9.25 | 91.8 | 0.38 | 0.23 | 0.26 |
| Guizhou | 1765.1 | 325.1 | 102.3 | 304.2 | 137.9 | 30.9 | -8.47 | 89.8 | 0.35 | 0.17 | 0.14 |
| Hainan | 136.4 | 41.4 | 20.9 | 82.4 | 30.9 | 14.2 | -6.51 | 82.8 | 0.29 | 0.24 | 0.30 |
| Hebei | 620.0 | 285.7 | 131.4 | 46.2 | 29.2 | 12.2 | -4.94 | 73.6 | 0.12 | 0.21 | 0.30 |
| Heilongjiang | 323.5 | 68.7 | 26.3 | 57.5 | 29.7 | 12.3 | -5.7 | 78.6 | 0.17 | 0.12 | 0.12 |
| Henan | 1377.3 | 469.7 | 202.7 | 79.5 | 57.8 | 16.6 | -5.81 | 79.1 | 0.17 | 0.23 | 0.28 |
| Hong Kong | 9.4 | 9.9 | 6.3 | 13.8 | 16.4 | 10.7 | -0.93 | 22.5 | 0.24 | 0.42 | 0.48 |
| Hubei | 564.7 | 111.5 | 52.6 | 55.8 | 29.6 | 10.2 | -6.28 | 81.7 | 0.14 | 0.10 | 0.14 |
| Hunan | 1287.3 | 228.9 | 102.7 | 131.2 | 52.0 | 16.6 | -7.65 | 87.3 | 0.26 | 0.18 | 0.22 |
| Inner Mongolia | 432.7 | 86.2 | 25.3 | 87.3 | 27.6 | 9.2 | -8.32 | 89.5 | 0.26 | 0.21 | 0.20 |
| Jiangsu | 441.3 | 112.1 | 44.9 | 42.6 | 21.3 | 6.4 | -7.04 | 85.0 | 0.11 | 0.11 | 0.14 |
| Jiangxi | 1444.0 | 199.2 | 66.6 | 147.4 | 27.5 | 9.5 | -10.14 | 93.6 | 0.35 | 0.13 | 0.12 |
| Jilin | 388.1 | 89.9 | 32.3 | 68.9 | 29.9 | 13.4 | -6.07 | 80.6 | 0.24 | 0.20 | 0.24 |
| Liaoning | 253.9 | 55.7 | 31.1 | 43.8 | 24.1 | 11.2 | -5.05 | 74.4 | 0.17 | 0.14 | 0.19 |
| Macao | 2.5 | 1.0 | 0.8 | 36.7 | 23.7 | 11.9 | -4.18 | 67.6 | 1.04 | 0.62 | 0.66 |
| Ningxia | 168.0 | 37.9 | 12.4 | 122.6 | 34.1 | 11.6 | -8.72 | 90.5 | 0.31 | 0.16 | 0.15 |
| Qinghai | 271.2 | 91.0 | 36.0 | 206.1 | 97.5 | 40.5 | -6.03 | 80.3 | 0.52 | 0.39 | 0.41 |
| Shaanxi | 307.1 | 183.8 | 94.3 | 39.9 | 40.4 | 18.4 | -2.87 | 53.9 | 0.10 | 0.21 | 0.32 |
| Shandong | 788.3 | 178.5 | 108.8 | 75.1 | 37.3 | 12.8 | -6.55 | 83.0 | 0.15 | 0.15 | 0.30 |
| Shanghai | 62.7 | 14.80 | 13.7 | 31.1 | 7.1 | 5.3 | -6.59 | 83.0 | 0.30 | 0.17 | 0.26 |
| Shanxi | 922.0 | 192.0 | 80.3 | 137.4 | 43.8 | 16.2 | -7.91 | 88.2 | 0.44 | 0.31 | 0.33 |
| Sichuan | 2914.7 | 529.6 | 129.4 | 116.9 | 54.5 | 13.0 | -8.13 | 88.9 | 0.24 | 0.22 | 0.18 |
| Taiwan | 57.5 | 26.2 | 26.7 | 17.6 | 12.6 | 15.2 | -0.54 | 13.6 | 0.4 | 0.57 | 1.19 |
| Tianjin | 81.9 | 22.0 | 14.1 | 49.0 | 19.2 | 9.7 | -6.01 | 80.2 | 0.35 | 0.32 | 0.44 |
| Tibet | 205.9 | 106.4 | 58.4 | 323.4 | 158.6 | 82.7 | -5.05 | 74.4 | 0.38 | 0.25 | 0.25 |
| Xinjiang | 785.9 | 382.0 | 169.9 | 208.8 | 105.8 | 41.6 | -5.98 | 80.1 | 0.69 | 0.86 | 0.91 |
| Yunnan | 1276.1 | 491.0 | 126.0 | 128.3 | 63.4 | 18.3 | -7.21 | 85.7 | 0.25 | 0.22 | 0.18 |
| Zhejiang | 445.7 | 69.1 | 29.0 | 45.9 | 10.4 | 4.2 | -8.89 | 90.8 | 0.14 | 0.08 | 0.12 |
MMR Maternal mortality ratio (number of maternal deaths per 100,000 livebirths), SDI Socio-demographic Index
Fig. 1National results with 95% uncertainty interval for the a number of maternal deaths (left) and maternal mortality ratio (MMR; number of deaths per 100,000 livebirths; right) by year (1990–2017), and b national number of maternal deaths (left) and MMR (right) in 1990 and 2017, by age groups. Shaded areas show 95% uncertainty intervals
Number of maternal deaths and maternal mortality ratio in 1990 and 2017 of China, by age group
| 10 to 14 | 76.4 (66.1–88.3) | 6.8 (6.0–7.7) | NA | NA |
| 15 to 19 | 1465.3 (1270.3–1675) | 69.8 (60.7.5–81) | 167.4 (145.1–191.4) | 21.7 (18.8–25.1) |
| 20 to 24 | 5903.8 (5266.6–6564.7) | 245 (214.4.0–284.1) | 53.3 (47.5–59.3) | 6.1 (5.3–7) |
| 25 to 29 | 6091.7 (5492.8–6736.2) | 663.2 (597.7.5–735.7) | 73.4 (66.2–81.1) | 9.3 (8.3–10.3) |
| 30 to 34 | 4609.2 (4142.5–5032) | 617.2 (553.7.0–697.2) | 183.1 (164.6–199.9) | 17.1 (15.3–19.3) |
| 35 to 39 | 3061.9 (2695.4–3418.1) | 330 (297.7.5–370.1) | 356 (313.4–397.5) | 34.3 (30.9–38.4) |
| 40 to 44 | 1037.1 (906.9–1180.3) | 174.5 (156.6.0–198.1) | 1130(988.2–1286.1) | 58.3 (52.4–66.2) |
| 45 to 49 | 295.3 (264.3–331.3) | 101.6 (90.4.5–113.8) | 1062.9 (951.4–1192.5) | 201.5 (179.3–225.8) |
| 50 to 54 | 74.5 (66.3–82.2) | 32.5 (28.9.0–36.4) | NA | NA |
NA Not available
Fig. 2Maternal mortality ratio (MMR) at the province level in a 1990, b 2017, and c annualised rate of change in MMR from 1990 to 2017 in the provinces of China
Fig. 3Province-level annualized rate of change in maternal mortality ratio from1990 to 2005, and 2005 to 2017. MDG-5, Millennium Development Goals 5
Fig. 4Causes of maternal death. a Total number (left) and mean percentage (right) of maternal deaths due to different causes in 1990 and 2017. Error bars show 95% uncertainty intervals. b Percentage of maternal deaths due to different causes in 2017, by province. c Percentage of maternal deaths due to different causes in 2017, by age group