| Literature DB >> 35264208 |
Kaiwen Ni1,2, Dingping Jin1, Zhe Wu1, Liyuan Sun1, Qun Lu3,4.
Abstract
BACKGROUND: The burden of healthcare-associated infections (HAIs) and the spread of antimicrobial resistance can be potentially preventable through comprehensive infection prevention and control (IPC) programs. However, information on the current state of IPC implementation is rare in China.Entities:
Keywords: Eastern China; Healthcare-associated infection; Infection prevention and control; Survey; WHO
Mesh:
Year: 2022 PMID: 35264208 PMCID: PMC8905555 DOI: 10.1186/s13756-022-01087-x
Source DB: PubMed Journal: Antimicrob Resist Infect Control ISSN: 2047-2994 Impact factor: 4.887
General characteristics of 222 participating hospitals in the study
| Number (%) | IPCAF score | |
|---|---|---|
| Hospital type | ||
| Secondary care | 125 (56.3) | 655 (600–692.5) |
| Tertiary care | 97 (43.7) | 720 (682–740) |
| Region | ||
| Hangzhou | 34 (15.3) | 686 (615–730.5) |
| Ningbo | 38 (17.1) | 682.5 (642.5–718) |
| Wenzhou | 19 (8.6) | 632.5 (592.5–720) |
| Shaoxing | 21 (9.5) | 705 (632.5–722.5) |
| Huzhou | 13 (5.9) | 692.5 (636–731) |
| Jiaxing | 16 (7.2) | 712.5 (645.5–738) |
| Jinhua | 27 (12.2) | 681 (605–737.5) |
| Quzhou | 10 (4.5) | 695 (687.5–731) |
| Taizhou | 19 (8.6) | 657.5 (600–727.5) |
| Lishui | 17 (7.7) | 657.5 (624–681) |
| Zhoushan | 8 (3.6) | 650 (549–686) |
| Hospital size | ||
| 100–350 beds | 85 (38.3) | 645 (594–686) |
| 351–700 beds | 65 (29.3) | 681 (619–721) |
| 701–100 beds | 31 (14.0) | 697.5 (665–735) |
| ≥ 1001 beds | 41 (18.5) | 730 (710–755) |
| Independent IPC department | ||
| Yes | 211 (95.0) | 685 (632.5–725) |
| No | 11 (5.0) | 572.5 (532.5–645) |
| Establishing date of IPC department (n = 211) | ||
| < 5 years | 19 (9.0) | 642.5 (587.5–692.5) |
| 5–15 years | 59 (28.0) | 665 (607.5–705) |
| 16–30 years | 123 (58.3) | 697.5 (657.5–730) |
| ≥ 31 years | 10 (4.7) | 720 (650–737) |
| Number of infection preventionists | ||
| 0–2 | 112 (50.5) | 645 (587.5–684.5) |
| 3–5 | 86 (38.7) | 710 (667–732.5) |
| ≥ 6 | 24 (10.8) | 734 (720–757) |
IPCAF infection prevention and control assessment framework, IPC Infection prevention and control, IQR interquartile range
Characteristics of infection preventionists in the study
| Total (n = 657) | Tertiary care (n = 415) | Secondary care (n = 242) | ||
|---|---|---|---|---|
| Age (years) | 0.04b | |||
| 20–30 | 59 (9.0) | 39 (9.4) | 20 (8.3) | |
| 31–40 | 189 (28.8) | 131 (31.6) | 58 (24.0) | |
| 41–50 | 256(39.0) | 145 (34.9) | 111 (45.9) | |
| > 50 | 153 (23.3) | 100 (24.1) | 53 (21.9) | |
| Gender | < 0.001b | |||
| Male | 65 (9.9) | 55 (13.3) | 10 (4.1) | |
| Female | 592 (90.1) | 360 (86.7) | 232 (95.9) | |
| Education level | < 0.001b | |||
| Junior college and below | 72 (11.0) | 38 (15.7) | 34 (14.0) | |
| Undergraduate | 523 (79.6) | 316 (76.1) | 207 (85.5) | |
| Postgraduate and above | 62 (9.4) | 61 (25.2) | 1 (0.4) | |
| Background | < 0.001b | |||
| Nursing | 478 (72.8) | 261 (62.9) | 217 (89.7) | |
| Public health | 59 (9.0) | 54 (13.0) | 5 (2.1) | |
| Internal medicine | 85 (12.9) | 73 (17.6) | 12 (5.0) | |
| Laboratory medicine | 19 (2.9) | 13 (3.1) | 6 (2.5) | |
| Other | 16 (2.4) | 14 (3.4) | 2 (0.8) | |
| Number of infection preventionists/100 beds | 0.5 | 0.4 | 0.5 | 0.464c |
aComparing tertiary care hospitals and secondary care hospitals
bChi-square test
cT test
Fig. 1The distribution of IPCAF scores among participating hospitals
Fig. 2The distribution of scores of the eight core components. The maximum score for each CC was 100. Box plot showing the median, inter-quartile range and outliers of CC