| Literature DB >> 32966684 |
Miriam Nakalembe1, Philippa Makanga1, Andrew Kambugu1, Miriam Laker-Oketta1, Megan J Huchko2, Jeffrey Martin3.
Abstract
The World Health Organization (WHO) refers to cervical cancer as a public health problem, and sub-Saharan Africa bears the world's highest incidence. In the realm of screening, simplified WHO recommendations for low-resource countries now present an opportunity for a public health approach to this public health problem. We evaluated the feasibility of such a public health approach to cervical cancer screening that features community-based self-administered HPV testing and mobile treatment provision. In two rural districts of western-central Uganda, Village Health Team members led community mobilization for cervical cancer screening fairs in their communities, which offered self-collection of vaginal samples for high-risk human papillomavirus (hrHPV) testing. High-risk human papillomavirus-positive women were re-contacted and referred for treatment with cryotherapy by a mobile treatment unit in their community. We also determined penetrance of the mobilization campaign message by interviewing a probability sample of adult women in study communities about the fair and their attendance. In 16 communities, 2142 women attended the health fairs; 1902 were eligible for cervical cancer screening of which 1892 (99.5%) provided a self-collected vaginal sample. Among the 393 (21%) women with detectable hrHPV, 89% were successfully contacted about their results, of which 86% returned for treatment by a mobile treatment team. Most of the women in the community (93%) reported hearing about the fair, and among those who had heard of the fair, 68% attended. This public health approach to cervical cancer screening was feasible, effectively penetrated the communities, and was readily accepted by community women. The findings support further optimization and evaluation of this approach as a means of scaling up cervical cancer control in low-resource settings.Entities:
Keywords: Africa; cervical cancer screening; community based; self-administered
Mesh:
Year: 2020 PMID: 32966684 PMCID: PMC7666725 DOI: 10.1002/cam4.3468
Source DB: PubMed Journal: Cancer Med ISSN: 2045-7634 Impact factor: 4.452
FIGURE 1Posters used to mobilize community women to attend a health fair regarding cervical cancer screening in rural Uganda
FIGURE 2Visual aids used at the heath fair to explain cervical cancer screening in rural Uganda
FIGURE 3Disposition of women in rural Uganda who attended a community‐based health fair for cervical cancer screening. The fraction of women is shown who underwent screening, had their screening results transmitted to them, and who presented to a community venue for treatment. LEEP, loop electrosurgical excision procedure
Opinions among women in rural Uganda regarding self‐collection of vaginal specimens at a community‐based health fair
| Item | Agree | Neither agree nor disagree | Disagree |
|---|---|---|---|
| Adequate privacy for self‐collection | 1314 (99%) | 5 (0.4%) | 3 (0.2%) |
| Comfortable with self‐collection | 1059 (81%) | 69 (5.3%) | 177 (14%) |
| Can do self‐collection again | 1293 (98%) | 11 (0.8%) | 12 (0.9%) |
| Recommend self‐collection to a friend | 1298 (98%) | 12 (0.9%) | 9 (0.7%) |
Missing in 12 participants.
Missing in 265 participants.
Missing in 31 participants.
Missing in 26 participants.
Evaluation of various participant sociodemographic and clinical characteristics for their association with successful notification of results from an HPV test performed at a community‐based health fair for cervical cancer screening in rural Uganda
| Characteristic | No. evaluated | No. (%) successfully notified of results | Unadjusted | Adjusted | ||
|---|---|---|---|---|---|---|
| Risk ratio |
| Risk ratio (95% CI) |
| |||
| Age, y | ||||||
| ≥40 | 509 | 337 (66%) | Ref. | Ref. | ||
| 30‐39 | 760 | 506 (67%) | 1.01 (0.92‐1.09) | .89 | 0.99 (0.89‐1.09) | .80 |
| 20‐29 | 608 | 391 (64%) | 0.97 (0.89‐1.05) | .51 | 0.97 (0.86‐1.10) | .53 |
| Marital status | ||||||
| Never married | 51 | 35 (69%) | Ref. | Ref. | ||
| Married | 1564 | 1025 (66%) | 0.95 (0.79‐1.15) | .63 | 0.95 (0.77‐1.18) | .66 |
| Separated/widowed/divorced | 262 | 173 (66%) | 0.96 (0.78‐1.18) | .71 | 0.95 (0.75‐1.19) | .64 |
| Education | ||||||
| None | 305 | 172 (56%) | Ref. | Ref. | ||
| At least some primary | 1036 | 671 (65%) | 1.15 (1.03‐1.28) | .012 | 1.19 (1.05‐1.35) | .006 |
| At least some secondary | 342 | 237 (69%) | 1.23 (1.09‐1.39) | .001 | 1.25 (1.08‐1.45) | .004 |
| At least some tertiary | 18 | 12 (67%) | 1.18 (0.84‐1.66) | .34 | 1.11 (0.76‐1.62) | .56 |
| Occupation | ||||||
| Unemployed | 1499 | 988 (66%) | Ref. | Ref. | ||
| Employed, non‐professional | 187 | 110 (59%) | 0.89 (0.79‐1.01) | .08 | 0.86 (0.74‐0.99) | .03 |
| Employed, professional | 191 | 135 (71%) | 1.07 (0.97‐1.18) | .16 | 1.02 (0.90‐1.16) | .75 |
| Mode of notification | ||||||
| Phone call | 1314 | 852 (65%) | Ref. | Ref. | ||
| Home visit | 217 | 148 (68%) | 1.00 (0.90‐1.11) | .96 | 1.01 (0.89‐1.16) | .85 |
| Return to nearby clinic | 225 | 136 (60%) | 0.98 (0.85‐1.12) | .76 | 0.98 (0.86‐1.11) | .73 |
| SMS | 121 | 98 (81%) | 1.20 (1.04‐1.37) | .10 | 1.24 (1.12‐1.38) | <.001 |
| Pregnant | ||||||
| Not pregnant | 1687 | 1098 (65%) | Ref. | Ref. | ||
| Pregnant | 190 | 135 (71%) | 1.09 (0.99‐1.20) | .07 | 1.06 (0.95‐1.19) | .29 |
| Parity | ||||||
| 0‐3 | 705 | 457 (65%) | Ref. | Ref. | ||
| 4‐6 | 746 | 485 (65%) | 1.00 (0.93‐1.08) | .94 | 1.04 (0.94‐1.14) | .45 |
| >6 | 426 | 291 (68%) | 1.05 (0.97‐1.15) | .22 | 1.05 (0.93‐1.20) | .42 |
| Prior cervical cancer screening | ||||||
| Never screened | 1791 | 1176 (66%) | Ref. | Ref. | ||
| Screened | 86 | 57 (66%) | 1.01 (0.86‐1.18) | .91 | 0.91 (0.75‐1.12) | .38 |
| HIV infection, via self‐report | ||||||
| HIV uninfected | 1498 | 986 (66%) | Ref. | Ref. | ||
| HIV infected | 158 | 99 (63%) | 0.95 (0.84‐1.08) | .44 | 1.00 (0.87‐1.14) | .99 |
Risk ratio depicts the probability of successful notification in the index group divided by the probability of successful notification in the reference group.
Adjusted for education, HIV infection status, marital status, notification mode, occupation, parity, pregnancy, and prior cervical cancer screening. Age and notification mode missing in 15 participants.
Adjusted for age, education, HIV infection status, notification mode, occupation, parity, and pregnancy. Marital status and notification mode missing in 15 participants.
Adjusted for age, HIV infection status, marital status, notification mode, occupation, parity, pregnancy, and prior cervical cancer screening. Education and notification mode missing in 191 participants.
Adjusted for age, education, HIV infection status, marital status, notification mode, parity, and pregnancy. Occupation and notification mode missing in 15 participants.
Adjusted for age, education, HIV infection status, marital status, occupation, and pregnancy. Notification mode missing in 15 participants
Denotes short messaging service, commonly known as text messaging.
Adjusted for age, education, HIV infection status, marital status, notification mode, occupation, and parity. Pregnancy and notification mode missing in 15 participants.
Adjusted for age, education, HIV infection status, marital status, occupation, and pregnancy. Parity and notification mode missing in 15 participants.
Adjusted for age, education, and HIV infection status. Prior cervical cancer screening and notification mode missing in 15 participants.
Adjusted for age, education, marital status, notification mode, occupation, parity, pregnancy, and prior cervical cancer screening. HIV infection, self‐reported, and notification mode missing in 236 participants.
FIGURE 4Penetrance of the mobilization message in the communities in which the health campaigns took place in rural Uganda. Penetrance was determined using a randomly selected sample of households within a 5 km radius of the center of the community. At each selected household in which there was an adult available to address our questions, we invited all women aged 18 or over to participate in a survey
Evaluation of various participant sociodemographic and clinical characteristics for their association with fair attendance in a community‐based campaign for cervical cancer screening in rural Uganda
| Characteristic | No. evaluated | No. (%) attending the fair | Unadjusted | Adjusted | ||
|---|---|---|---|---|---|---|
| Risk ratio |
| Risk ratio (95% CI) |
| |||
| Age, in years | ||||||
| 20‐29 | 76 | 58 (76%) | Ref. | Ref. | ||
| 30‐39 | 55 | 34 (62%) | 0.81 (0.64‐1.03) | .089 | 0.83 (0.63‐1.10) | .24 |
| ≥40 | 89 | 57 (64%) | 0.84 (0.69‐1.02) | .086 | 0.88 (0.69‐1.13) | .32 |
| Marital status | ||||||
| Never married | 31 | 14 (45%) | Ref. | Ref. | ||
| Married | 147 | 108 (73%) | 1.62 (1.09‐2.42) | .017 | 1.55 (1.05‐2.30) | .028 |
| Separated/widowed/divorced | 42 | 27 (64%) | 1.42 (0.91‐2.23) | .12 | 1.41 (0.91‐2.29) | .12 |
| Education | ||||||
| None | 23 | 11 (48%) | Ref. | Ref. | ||
| At least some primary | 146 | 101 (69%) | 1.45 (0.93‐2.25) | .10 | 1.26 (0.82‐1.94) | .29 |
| At least some secondary | 50 | 37 (74%) | 1.52 (0.96‐2.40) | .76 | 1.35 (0.86‐2.12) | .19 |
| Occupation | ||||||
| Unemployed | 10 | 5 (50%) | Ref. | Ref. | ||
| Employed, non‐professional | 192 | 128 (67%) | 1.33 (0.71‐2.50) | .37 | 1.21 (0.67‐2.19) | .53 |
| Employed, professional | 17 | 15 (88%) | 1.76 (0.93‐3.36) | .084 | 1.50 (0.81‐2.78) | .19 |
| Parity | ||||||
| 0‐3 | 88 | 60 (68%) | Ref. | Ref. | ||
| ≥4 | 132 | 89 (67%) | 0.93 (0.78‐1.1) | .45 | 1.07 (0.85‐1.35) | .56 |
Risk ratio depicts the probability of fair attendance in the index group divided by the probability of fair attendance in the reference group.
Adjusted for education, marital status, occupation, and parity.
Adjusted for age, education, occupation, and parity.
Adjusted for age, marital status, occupation, and parity.
Adjusted for age, education, marital status, and parity.
Adjusted for age, education, marital status, and occupation.