| Literature DB >> 29970063 |
Megan Swanson1, Saduma Ibrahim2, Cinthia Blat3, Sandra Oketch2, Easter Olwanda2, May Maloba2, Megan J Huchko4.
Abstract
BACKGROUND: The incidence of cervical cancer in Kenya is among the highest in the world. Few Kenyan women are able to access screening, thus fueling the high cervical cancer burden. Self-collected human papilloma Virus (HPV) tests, administered during community-health campaigns in rural areas may be a way to expand access to screening.Entities:
Keywords: Cervical cancer screening; Community health campaign; Self-collection; Sub-Saharan Africa
Mesh:
Year: 2018 PMID: 29970063 PMCID: PMC6029075 DOI: 10.1186/s12905-018-0586-0
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Fig. 1Study flow diagram
Characteristics of participants in a cervical cancer screening Community Health Campaign by HPV status
| Variable | Total N | HPV negative | HPV positive | Unadjusted Odds Ratio of HPV positivity (95% CI) | Adjusteda Odds Ratio of HPV positivity (95% CI) |
|---|---|---|---|---|---|
| Total (N, %) | |||||
| Age (mean, SD) | 36 (11) | 37 (11) | 34 (11) | 0.97 (0.94–1.01) | 0.96 (0.93–0.99) |
| Age: categorical | |||||
| 25–29 yo | 97 | 75 | 25 | 1.41 (0.55–3.62) | b |
| 30–39 yo | 67 | 82 | 18 | 0.94 (0.33–2.63) | b |
| 40–49 yo | 42 | 90 | 10 | 0.45 (0.12–1.69) | b |
| ≥ 50 yo | 37 | 81 | 19 | 1.0 | b |
| Prior screening history | |||||
| None prior | 197 | 81 | 19 | 1.0 | 1.0 |
| Prior screening | 46 | 80 | 20 | 1.02 (0.45–2.29) | 0.98 (0.41–2.34) |
| Prior screening type | |||||
| No prior screening | 197 | 81 | 19 | 1.0 | b |
| VIA | 29 | 79 | 21 | 1.09 (0.42–2.87) | b |
| Pap smear | 15 | 86 | 14 | 1.05 (0.28–3.89) | b |
| HPV test | 1 | 100 | 0 | too few observations | b |
| HIV serostatus | |||||
| HIV - | 178 | 81 | 19 | 1.0 | 1.0 |
| HIV + | 57 | 79 | 21 | 1.13 (0.54–2.36) | 1.29 (0.59–2.83) |
| Family Planning Method | |||||
| No method | 137 | 79 | 21 | 1.0 | 1.0 |
| Modern method | 106 | 83 | 17 | 0.76 (0.40–1.46) | 0.53 (0.25–1.12) |
| Family Planning | |||||
| No method | 137 | 79 | 21 | 1.0 | b |
| Implant | 45 | 76 | 24 | omitted for collinearity | b |
| Injectable | 39 | 90 | 10 | 0.43 (0.14–1.29) | b |
| Other | 22 | 86 | 14 | 0.59 (0.16–2.13) | b |
| Pregnant | |||||
| Not pregnant | 216 | 81 | 19 | 1.0 | 1.0 |
| Pregnant | 12 | 75 | 25 | 1.38 (0.36–5.32) | 0.84 (0.20–3.50) |
aAdjusted for age, history of previous screening, HIV serostatus, use of a family planning method, and pregnancy
bnot included in the multivariate model
Characteristics of participants by whether or not they were successfully notified of HPV test results
| Variable | Total N | Unable to be reached, not notified of results | Successfully notified of results | |
|---|---|---|---|---|
| Total (N, %) | ||||
| Age (mean, SD) | 36 (11) | 38 (13) | 35(11) | 0.152 |
| Age: categorical | ||||
| 25–29 yo | 104 | 21 | 79 | 0.629 |
| 30–39 yo | 71 | 23 | 77 | |
| 40–49 yo | 42 | 24 | 76 | |
| > = 50 yo | 38 | 32 | 68 | |
| Prior Screening History | ||||
| None prior | 208 | 25 | 75 | 0.122 |
| Prior screening | 47 | 15 | 85 | |
| HIV serostatus | ||||
| HIV- | 189 | 23 | 77 | 0.891 |
| HIV+ | 58 | 22 | 78 | |
| Family Planning | ||||
| No method | 142 | 24 | 76 | 0.861 |
| Using a method | 113 | 23 | 77 | |
| Pregnant | ||||
| Not pregnant | 227 | 23 | 77 | 0.196 |
| Currently pregnant | 13 | 38 | 62 | |
| Have access to a mobile phone | ||||
| No access | 33 | 73 | 27 | < 0.001 |
| Has phone | 222 | 16 | 84 | |
| Desired Method of Notification of test results via: | ||||
| Text | 171 | 0 | 100 | < 0.001 |
| Phone call | 11 | 36 | 64 | |
| Home visit | 12 | 17 | 83 | |
| Clinic visit | 61 | 89 | 11 | |
| HPV test results | ||||
| HPV positive | 47 | 23 | 77 | 0.141 |
| HPV negative | 196 | 25 | 75 | |
| Indeterminate | 12 | 0 | 100 | |
Characteristics of HPV + participants by whether or not they successfully presented for treatment
| Variable | Total N | Unable to present for treatment | Presented for treatment | Unadjusted Odds Ratio of Presenting for Treatment |
|---|---|---|---|---|
| Total (N, %) | ||||
| Age (mean, SD) | 34 (12) | 31 (11) | 36 (12) | 1.04 (0.99–1.10) |
| Age: categorical | ||||
| 25–29 yo | 24 | 58 | 42 | 0.29 (0.05–1.78) |
| 30–39 yo | 12 | 50 | 50 | 0. 40 (0.05–2.93) |
| 40–49 yo | 4 | 25 | 75 | 1.20 (0.07–19.63) |
| > = 50 yo | 7 | 29 | 71 | 1.0 |
| Prior Screening HIstory | ||||
| None prior | 38 | 50 | 50 | 1.0 |
| Prior screening | 9 | 44 | 56 | 1.25 (0.29–5.39) |
| HIV serostatus | ||||
| HIV- | 34 | 47 | 53 | 1.0 |
| HIV+ | 12 | 50 | 50 | 0.89 (0.24–3.32) |
| Family Planning | ||||
| No method | 29 | 48 | 52 | 1.0 |
| Using a method | 18 | 50 | 50 | 0.93 (0.29–3.03) |
| Pregnant | ||||
| Not pregnant | 42 | 48 | 52 | 1.0 |
| Currently pregnant | 3 | 100 | 0 | too few observations |
| Have access to a mobile phone | ||||
| No access | 8 | 63 | 37 | 1.0 |
| Has phone | 39 | 46 | 54 | 1.94 (0.41–9.29) |
| Notification of test results via: | ||||
| Text | 17 | 53 | 47 | 1.0 |
| Phone call | 11 | 55 | 45 | 0.94 (0.20–4.29) |
| Home visit | 12 | 25 | 75 | 3.38 (0.67–17.00) |
| Clinic visit | 7 | 71 | 29 | 0.45 (0.34–2.30) |