| Literature DB >> 26566391 |
Joshua B Mendelsohn1, Liviana Calzavara1, Lucia Light2, Ann N Burchell3, Jinma Ren4, Laiyi Kang5.
Abstract
BACKGROUND: China's growing population of internal migrants has exceeded 236 million. Driven by rapid development and urbanization, this extreme population mobility creates opportunities for transmission of HIV and sexually-transmitted infections (STI). Large numbers of rural migrants flock to megacities such as Shanghai in search of employment. Although migrants constitute a key population at heightened risk of acquiring HIV or an STI, there is a lack of easily accessible sexual health services available for them. In response, we designed a short, inexpensive sexual health intervention that sought to improve HIV and STI knowledge, while reducing stigma, risky sexual behaviour, and sexual transmission of HIV and STI among migrant construction workers (MCW) situated in Shanghai, China.Entities:
Keywords: AIDS; China; HIV; Intervention; Migration; Prevention; STD; STI; Sexually transmitted infections; Shanghai; Workplace
Year: 2015 PMID: 26566391 PMCID: PMC4642640 DOI: 10.1186/s12982-015-0033-8
Source DB: PubMed Journal: Emerg Themes Epidemiol ISSN: 1742-7622
Fig. 1Map of Shanghai Districts involved in the Canada–China Program of HIV/STI research. Note 1: Districts with diagonal coloring participated in multiple projects under the same program of research. Note 2: When the Program was launched in 2007, there were 19 districts in Shanghai. Two districts merged in 2009 (Pudong and Nanhui) reducing the total number of districts to 17. CW construction workers, FEW female entertainment workers, MSM men who have sex with men, PHA people living with HIV and AIDS
Summary of intervention activities
| Low-intensity intervention | Intermediate-intensity intervention | High-intensity intervention | |
|---|---|---|---|
| Educational component | Pamphlets | Pamphlet; posters; videos | Pamphlet; posters; videos |
| Behavioural componenta | – | – | Group counselling and discussion; one-on-one counselling |
| Allocation | Six randomly selected construction sites | Six randomly selected construction sites | Six randomly selected construction sites |
| Access | All workers at the site | All workers at the site | All workers at participating sites, regardless of participation in the study, had access to the educational component but only those who agreed to participate in the study were offered the counselling intervention. |
aAll workers who agreed to undergo HIV/STI testing and who tested positive were provided with one-on-one counselling regardless of the intervention arm they were randomly selected to receive
HIV and STI testing conducted during baseline and follow-up
| Testing procedure | Required for study | Type of specimen | Collected/conducted at baseline | Collected/conducted at six months | |
|---|---|---|---|---|---|
| Chlamydia | LCx | Yes | Urine | Yes | Yes |
| Gonorrhoea | LCx | Yes | Urine | Yes | Yes |
| Herpes simplex II | EIA | Yes | Blood | Yes | No |
| Syphilis | RPR, TPPA (if reactive) | Yes | Blood | Yes | No |
| HIV | EIA and Western blot (if repeatedly reactive) | Yes | Blood | Yes | No |
| Optional | |||||
| Medical exam | Routine examination | No | – | Yes | No |
| Tuberculosis | Tuberculin skin test | No | X-raya | Yes | No |
LCx nucleic acid amplification assay, EIA enzyme immunoassay, RPR rapid plasma reagin, TPPA Treponema pallidum particle agglutination assay
aIf deemed necessary by healthcare provider
Fig. 2Study flow diagram
Socio-demographic characteristics of participants across intervention arms at baseline (n = 1871)
| Characteristic | Total, n (%)a | Low-intensity/control, n (%) | Intermediate-intensity, n (%) | High-intensity, n (%) |
|
|---|---|---|---|---|---|
| Age (mean years, SD; n = 1850) | 38.7 (10.4) | 38.5 (11.1) | 37.2 (10.6) | 40.5 (9.3) | <0.001** |
| Marriage/cohabitation time (mean years, SD; n = 1538) | 16.8 (9.0) | 16.7 (9.6) | 15.6 (9.1) | 18.0 (8.3) | <0.001** |
| Gender (n) | 1871 | ||||
| Male | 1757 (93.9) | 531 (30.2) | 591 (33.6) | 635 (36.1) | <0.001 |
| Female | 114 (6.1) | 61 (53.5) | 36 (31.6) | 17 (14.9) | |
| Marital status (n) | 1870 | ||||
| Married/living together | 1556 (83.2) | 484 (31.1) | 505 (32.5) | 567 (36.4) | 0.005 |
| Single/separated | 314 (16.8) | 107 (34.1) | 122 (38.9) | 85 (27.1) | |
| Partner visits, past year (n) | 1073 | ||||
| 1–3 | 243 (22.6) | 80 (32.9) | 62 (25.5) | 101 (41.6) | 0.001 |
| 4+ | 79 (7.4) | 26 (32.9) | 29 (36.7) | 24 (30.4) | |
| Living with Partner | 424 (39.5) | 168 (39.6) | 141 (33.3) | 115 (27.1) | |
| Single or did not visit partner | 327 (30.5) | 109 (33.3) | 125 (38.2) | 93 (28.4) | |
| Lodging (n) | 1869 | ||||
| Dormitory | 1568 (83.9) | 532 (33.9) | 450 (28.7) | 586 (37.4) | <0.001 |
| Rent apartment | 242 (13.0) | 36 (14.9) | 150 (62.0) | 56 (23.1) | |
| Own house | 35 (1.9) | 14 (40.0) | 18 (51.4) | 3 (8.6) | |
| Other | 23 (1.2) | 8 (34.8) | 8 (34.8) | 7 (30.4) | |
| Education (n) | 1870 | ||||
| Elementary or less | 460 (24.6) | 163 (35.4) | 151 (32.8) | 146 (31.7) | 0.163 |
| Middle school | 1051 (56.2) | 330 (31.4) | 352 (33.5) | 369 (35.1) | |
| High School or more | 359 (19.2) | 99 (27.6) | 123 (34.3) | 137 (38.2) | |
| Province of birth (n) | 1864 | ||||
| Jiangsu | 612 (32.8) | 111 (18.1) | 179 (29.3) | 322 (52.6) | <0.001 |
| Anhui | 338 (18.1) | 109 (32.3) | 115 (34.0) | 114 (33.7) | |
| Sichuan | 336 (18.0) | 91 (27.1) | 133 (39.6) | 112 (33.3) | |
| Other | 578 (31.0) | 279 (48.3) | 199 (34.4) | 100 (17.3) | |
| Years migrating (n) | 1818 | ||||
| < 5 | 362 (19.9) | 121 (33.4) | 150 (41.4) | 91 (25.1) | <0.001 |
| 5–9 | 353 (19.4) | 100 (28.3) | 144 (40.8) | 109 (30.9) | |
| 10–14 | 389 (21.4) | 130 (33.4) | 120 (30.9) | 139 (35.7) | |
| 15+ | 714 (39.3) | 221 (31.0) | 186 (26.1) | 307 (43.0) | |
| Number of cities migrated to (n) | 1822 | ||||
| 0–1 | 387 (21.2) | 156 (40.3) | 134 (34.6) | 97 (25.1) | <0.001 |
| 2–4 | 1128 (61.9) | 323 (28.6) | 360 (31.9) | 445 (39.5) | |
| 5+ | 307 (16.8) | 96 (31.3) | 105 (34.2) | 106 (34.5) | |
| Years in Shanghai (n) | 1814 | ||||
| < 1 | 361 (19.9) | 90 (24.9) | 136 (37.7) | 135 (37.4) | 0.002 |
| 1–4 | 433 (23.9) | 144 (33.3) | 160 (37.0) | 129 (29.8) | |
| 5–9 | 363 (20.0) | 114 (31.4) | 114 (31.4) | 135 (37.2) | |
| 10+ | 657 (36.2) | 222 (33.8) | 188 (28.6) | 247 (37.6) | |
| STI symptoms past year, self-report (n) | 1860 | ||||
| Yes | 155 (8.3) | 65 (41.9) | 56 (36.1) | 34 (21.9) | <0.001 |
| No | 1705 (91.7) | 524 (30.7) | 568 (33.3) | 613 (36.0) | |
| Ever tested for HIV (n) | 1833 | ||||
| Yes | 21 (1.2) | 6 (28.6) | 7 (33.3) | 8 (38.1) | 0.931 |
| No | 1812 (98.9) | 576 (31.8) | 610 (33.7) | 626 (34.6) | |
| Lifetime sexual partners ≥1 (n) | 1706 | ||||
| 1 | 1315 (77.1) | 421 (32.0) | 412 (31.3) | 482 (36.7) | 0.171 |
| 2 | 206 (12.1) | 62 (30.1) | 80 (38.8) | 64 (31.1) | |
| 3+ | 185 (10.8) | 57 (30.8) | 68 (36.8) | 60 (32.4) |
* Chi squared test, ** Kruskal–Walllis test
aExcept for age and marriage/cohabitation time
Adjusted odds ratios for ≥50 % or <50 % participation in intervention activities
| Variable (n) | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|
| Odds ratio | 95 % confidence interval | p value | Odds ratio | 95 % confidence interval | p value | |
| Gender | ||||||
| Female (80) | 1.0 | 1.0 | ||||
| Male (1209) | 2.6 | 1.4, 4.8 | 0.004 | 2.1 | 1.1, 4.1 | 0.036 |
| Age (years) | ||||||
| <30 (238) | 1.0 | 1.0 | ||||
| ≥30 (1046) | 0.9 | 0.5, 1.6 | 0.79 | 1.1 | 0.6, 1.9 | 0.766 |
| District | ||||||
| Xuhui (393) | 1.0 | 1.0 | ||||
| Huangpu (430) | 5.2 | 2.7, 9.9 | <0.001 | 5.0 | 2.6, 9.5 | <0.001 |
| Nanhui (466) | 1.8 | 1.2, 2.9 | 0.009 | 2.1 | 1.3, 3.4 | 0.002 |
| Education level | ||||||
| Elementary or less (303) | 1.0 | 1.0 | ||||
| Middle school (724) | 2.1 | 1.3, 3.2 | 0.002 | 1.9 | 1.2, 3.0 | 0.01 |
| High school or more (261) | 2.3 | 1.2, 4.3 | 0.01 | 1.9 | 1.0, 3.7 | 0.058 |
| Intervention arm | ||||||
| Low (384) | 1.0 | 1.0 | ||||
| Intermediate (427) | 1.6 | 1.0, 2.6 | 0.067 | 1.5 | 0.9, 2.5 | 0.142 |
| High (480) | 1.8 | 1.1, 3.0 | 0.02 | 1.6 | 0.9, 2.6 | 0.101 |
| Box 1: Lessons learned in implementing an education intervention among migrant construction workers |
|---|
| 1. Any local or national festivals that could result in home visits or travel for participants during the intervention or evaluation should be identified well in advance. Such events could increase attrition and bias results. In our case, data collection in China was completed between June and January before home visits begin for Chinese New Year. |
| 2. Given that worksites are temporary and exist until a project completion date, the development of the sampling frame needs to be undertaken as close to the planned start date of the intervention as possible in order to ensure that eligible worksites are properly represented within the sampling frame. |
| 3. Consider any potential biases introduced by workers who live offsite and therefore engage less with intervention activities, or may be less well represented in the sample. For example, offsite workers may face an increased travel burden which may limit their engagement in relation to other groups. |
| 4. Consider the duration of the typical worker contract and how this might affect loss to follow-up. Short contracts may increase attrition over the designated follow-up period, which may introduce biases when comparing groups. |