| Literature DB >> 26975933 |
Mingzhou Xiong1, Lina Lan2, Tiejian Feng2, Guanglu Zhao2, Feng Wang2, Fuchang Hong2, Xiaobing Wu2, Chunlai Zhang2, Lizhang Wen2, Aizhong Liu3, John McCulloch Best4, Weiming Tang5.
Abstract
OBJECTIVE: To assess the clinical process of gonorrhoea diagnosis and report in China, and to determine the difference of sex ratio between reported incidence based on reporting data and true diagnosis rate based on reference tests of gonorrhoea.Entities:
Keywords: EPIDEMIOLOGY
Mesh:
Year: 2016 PMID: 26975933 PMCID: PMC4800114 DOI: 10.1136/bmjopen-2015-009629
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The clinical process of gonorrhoea diagnosis and report in China.
The demographic characteristics distribution of the study participants
| Gender | Total | ||
|---|---|---|---|
| Male n (%) | Female n (%) | ||
| Age (year)* | |||
| ≤19 | 12 (1.1) | 43 (3.0) | 55 (2.2) |
| 20–39 | 887 (80.2) | 1259 (88.2) | 2146 (84.7) |
| ≥40 | 163 (14.7) | 102 (7.1) | 265 (10.5) |
| Missing | 44 (4.0) | 24 (1.7) | 68 (2.6) |
| Census register* | |||
| Shenzhen | 308 (27.9) | 270 (18.9) | 578 (22.8) |
| Outside Shenzhen | 781 (70.6) | 1142 (80.0) | 1923 (75.9) |
| Missing | 17 (1.5) | 16 (1.1) | 33 (1.3) |
| Education* | |||
| Primary school and below | 37 (3.3) | 99 (7.0) | 136 (5.4) |
| Middle school | 666 (60.2) | 1035 (72.4) | 1701 (67.1) |
| Bachelor degree or above | 362 (32.8) | 270 (18.9) | 632 (24.9) |
| Missing | 41 (3.7) | 24 (1.7) | 65 (2.6) |
| Monthly salary (¥)* | |||
| <2000 | 332 (30.0) | 803 (56.2) | 1135 (44.8) |
| 2000–4000 | 360 (32.5) | 363 (25.4) | 723 (28.5) |
| 4000–6000 | 206 (18.6) | 107 (7.5) | 313 (12.4) |
| >6000 | 172 (15.6) | 54 (3.8) | 226 (8.9) |
| Missing | 36 (3.3) | 101 (7.1) | 137 (5.4) |
| Marriage | |||
| Unmarried | 349 (31.6) | 427 (30.0) | 776 (30.7) |
| Married | 755 (68.3) | 987 (69.2) | 1742 (68.7) |
| Divorced or widowed | 2 (0.1) | 11 (0.6) | 13 (0.5) |
| Missing | 0 | 3 (0.2) | 3 (0.1) |
*The difference was statistically significant (p<0.05).
The gender difference of untested rate, true-positive rate and false-negative rate
| Tested (n) (clinic result/reference result) | Untested (n) | Untested rate (%, 95% CI)* | True-positive rate (%, 95% CI)† | False-negative rate (%, 95% CI)‡ | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| +/+(A) | −/+(B) | +/−(C) | −/−(D) | Total (E) | +(F) | −(G) | Total (H) | ||||
| Male | 22 | 29 | 70 | 204 | 325 | 110 | 671 | 781 | 68.3 (61.9 to 74.7) | 23.9 (17.7 to 30.0) | 56.9 (47.3 to 66.5) |
| Female | 1 | 9 | 4 | 120 | 134 | 74 | 1212 | 1286§ | 88.1 (83.2 to 93.0) | 20.0 (0.0 to 44.8) | 90.0 (76.9 to 100.0) |
| Total | 23 | 38 | 74 | 324 | 459 | 184 | 1883 | 2067 | 75.1 (71.2 to 79.0) | 23.7 (17.6 to 29.8) | 62.3 (53.5 to 71.1) |
| Ratio | 1:1.3 | 1.2:1 | 1:1.6 | ||||||||
*Untested rate=F/(A+B+F), Pearson χ2 test: χ2=11.541, p≤0.001.
†True-positive rate=A/(A+C), Fisher's exact test, p=0.661.
‡False-negative rate=B/(A+B), Pearson χ2test with continuous correction: χ2=2.625, p=0.105.
§Eight female participants missed reference test results.
The gender difference of unreported rate
| Reported | Unreported | Total | Unreported rate (%, 95% CI) | p Value* | |
|---|---|---|---|---|---|
| Male | 87 | 5 | 92 | 5.4 (2.2 to 8.6) | 0.278 |
| Female | 4 | 1 | 5 | 20.0 (0.0 to 44.8) | |
| Total | 91 | 6 | 97 | 6.2 (2.8 to 9.6) | |
| Ratio | 1:1.37 |
*Fisher’s exact test p value.