| Literature DB >> 22233530 |
Frida S Lyimo1, Tanya N Beran.
Abstract
BACKGROUND: Cervical cancer is an important public health problem worldwide, which comprises approximately 12% of all cancers in women. In Tanzania, the estimated incidence rate is 30 to 40 per 100,000 women, indicating a high disease burden. Cervical cancer screening is acknowledged as currently the most effective approach for cervical cancer control, and it is associated with reduced incidence and mortality from the disease. The aim of the study was to identify the most important factors related to the uptake of cervical cancer screening among women in a rural district of Tanzania.Entities:
Mesh:
Year: 2012 PMID: 22233530 PMCID: PMC3299640 DOI: 10.1186/1471-2458-12-22
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic characteristics of respondents (n = 354)
| Characteristics | Frequency | Percentage |
|---|---|---|
| 18 - 39 | 191 | 54.0 |
| 40 - 59 | 149 | 42.1 |
| 60 + | 14 | 4.0 |
| Married | 256 | 72.3 |
| Unmarried | 64 | 18.1 |
| Widowed | 34 | 9.6 |
| None | 21 | 5.9 |
| Primary | 196 | 55.4 |
| Secondary | 126 | 35.6 |
| College | 11 | 3.1 |
| None | 53 | 15.0 |
| One | 33 | 9.3 |
| Two | 68 | 19.2 |
| Three | 54 | 15.3 |
| Four | 38 | 10.7 |
| Five or more | 108 | 30.5 |
| No | 274 | 77.4 |
| Yes | 80 | 22.6 |
| Within last year | 24 | 30.0 |
| Not within last year | 56 | 70.0 |
| Screened once | 50 | 62.5 |
| Screened twice | 30 | 37.5 |
Relationship between Factors and Screening
| Screened | Not Screened | ||||||
|---|---|---|---|---|---|---|---|
| 64 | 3.97 | 1.43 | 192 | 3.01 | 1.29 | F = 24.89 | |
| 80 | 2.54 | 1.34 | 274 | 3.04 | 1.31 | F = 9.11 | |
| 80 | 2.40 | 1.25 | 274 | 3.27 | 1.30 | F = 27.98 | |
| N | % | N | % | ||||
| None | 3 | 14.3 | 18 | 85.7 | Fisher's exact = 1.03 | ||
| Primary | 9 | 4.6 | 187 | 95.4 | p < 0.001 | ||
| Secondary | 56 | 44.4 | 70 | 55.6 | |||
| College | 10 | 90.9 | 1 | 9.1 | |||
| High | 51 | 75.0 | 17 | 25.0 | χ2 = 1.33 | ||
| Medium | 6 | 8.0 | 69 | 92.0 | |||
| Low | 23 | 10.4 | 188 | 89.6 | p < 0.001 | ||
| Male | 6 | 7.5 | 37 | 13.5 | χ2 = 10.84 | ||
| Female | 22 | 27.5 | 116 | 42.3 | |||
| Either | 52 | 65.0 | 121 | 44.2 | p < 0.01 | ||
| Yes | 80 | 34.0 | 155 | 66.0 | χ2 = 52.34 | ||
| No | 0 | 0.0 | 119 | 100.0 | p < 0.001 | ||
| 2 to 5 km | 38 | 38.0 | 6 | 62.0 | χ2 = 19.99 | ||
| 6 to 10 km | 34 | 16.2 | 177 | 83.8 | |||
| > = 30 km | 6 | 15.0 | 34 | 85.0 | p < 0.001 | ||
Logistic regression results of the uptake of cervical cancer screening services among women, by selected barriers
| Characteristics | Odds Ratio | (95%CI ) | ||
|---|---|---|---|---|
| Strongly approves | 69 | 0.57 | (0.73-4.48) | 0.59 |
| Approves a bit | 38 | 0.78 | (0.08-7.60) | 0.83 |
| Neutral | 79 | 1.98 | (0.14-27.30) | 0.61 |
| Disapproves a bit | 28 | 0.18 | (0.11-2.95) | 0.23 |
| Strongly disapproves(r) | 42 | |||
| None(r) | 21 | |||
| Primary | 196 | 0.01 | (0.00-0.70) | 0.35 |
| Secondary | 126 | 0.08 | (0.00-5.47) | 0.24 |
| College | 11 | 0.05 | (0.03-0.08) | 1.00 |
| High level | 68 | |||
| Medium level | 75 | 0.04 | (0.00-1.81) | 0.10 |
| Low level(r) | 211 | |||
| Strongly agree(r) | 57 | |||
| Agree | 87 | 0.02 | (0.00- 1.03) | 1.00 |
| Undecided | 29 | 0.05 | (0.00-2.34) | 0.13 |
| Disagree | 136 | 0.01 | (0.00-1.06) | 0.05 |
| Strongly disagree | 45 | 1.72 | (0.82-2.20) | 0.82 |
| Strongly agree(r) | 67 | |||
| Agree | 97 | 1.42 | (0.00-1.85) | 0.99 |
| Undecided | 15 | 3.01 | (2.01-4.08) | 1.00 |
| Disagree | 144 | 3.77 | (0.28-5.87) | 0.32 |
| Strongly disagree | 31 | 3.18 | (0.09-7.15) | 0.52 |
| Male health provider(r) | 43 | |||
| Female health provider | 138 | 1.00 | (0.14-7.02) | 1.00 |
| Any health provider | 173 | 1.76 | (0.30-10.19) | 0.53 |
| Yes | 235 | 1.42 | (0.29-9.43) | 1.00 |
| No (r) | 199 | |||
| 2 to 5 km | 100 | |||
| 6 to 10 km | 210 | 1.30 | (1.86-3.96) | 0.08 |
| 30 km and above(r) | 41 |
Note: r indicates the reference category for each variable, *p < 0.05