Ranjit 2016
Ranjit 2016
CLINICAL ARTICLE
a r t i c l e i n f o a b s t r a c t
Article history: Objective: To estimate awareness and prevalence of cervical smear testing among women in Nepal. Methods: A
Received 13 July 2015 secondary analysis of data obtained as part of a nationwide household survey between May 25 and June 14,
Received in revised form 31 October 2015 2015, was undertaken. Information obtained from women aged 21–65 years was included. Multiple regression
Accepted 10 March 2016 analyses were performed to identify factors associated with having undergone cervical smear testing. Results: A
total of 829 women were included. Among 816 women who answered the relevant survey question, 710 (87.0%)
Keywords:
had no knowledge of cervical smear tests. Only 39 (4.7%) of the 829 women had ever undergone a cervical smear.
Cervical cancer
Cervical smear
In multivariate analysis, having undergone a cervical smear was associated with literacy (adjusted odds ratio
Nepal [aOR] 3.26, 95% confidence interval [CI] 1.25–8.51; P = 0.016) and living in rural areas (aOR 0.48, 95% CI
0.24–0.96; P = 0.038). Conclusion: Nepali women rarely undergo cervical smear screening, with the lowest
prevalence recorded among the illiterate and those living in rural areas. To boost screening rates, educational
campaigns and rural outreach are needed.
© 2016 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.
http://dx.doi.org/10.1016/j.ijgo.2015.11.019
0020-7292/© 2016 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.
Please cite this article as: Ranjit A, et al, Awareness and prevalence of cervical cancer screening among women in Nepal, Int J Gynecol Obstet
(2016), http://dx.doi.org/10.1016/j.ijgo.2015.11.019
2 A. Ranjit et al. / International Journal of Gynecology and Obstetrics xxx (2016) xxx–xxx
context or on cervical cancer awareness and attitudes to screening Table 1 shows the demographic characteristics of the included
among Nepali women remain limited. Thus, the aim of the present women. The mean age was 38.12 ± 12.20 years, with most women
study was to estimate the awareness and prevalence of cervical smear aged 21–49 years. Almost half the women had never received any for-
testing among Nepali women eligible for cervical cancer screening. mal education, although almost 60% were literate. More than half had
no employment, most were married, and two-thirds were from rural
2. Materials and methods areas of Nepal.
Among 816 women for whom relevant information was available,
A secondary analysis of data obtained through a previous survey- 710 (87.0%) reported no awareness of cervical smear tests. Among the
based study was undertaken. Full methods of the previous study have 106 women who had some knowledge of these tests, 67 (63.2%) had
been reported previously [11]. Briefly, between May 25 and June 12, never undergone a cervical smear test. Indeed, only 39 (4.7%) women
2014, 1397 randomly selected households from 15 randomly selected included in the survey had ever undergone a cervical test. There were
districts in Nepal were visited. In each district, three clusters—two significant differences between women who had and had not under-
urban and one rural—were randomly chosen in proportion to the popu- gone a cervical smear test in literacy, employment, and area of residence
lation for a total of 45 clusters [12]. In each cluster, trained interviewers (P b 0.05 for all) (Table 2).
chose an agreed central geographic location and sampled every fifth In univariate analysis, literacy, employment, and rural area of resi-
household, sampling a total of 30 households per cluster. For each dence were associated with ever having had a cervical smear test
household visited, two members were chosen using a randomization (P ≤ 0.011 for all) (Table 3). In multiple logistic regression analysis,
calculator and interviewed. Only individuals with an intellectual dis- with adjustment for other variables, literacy and rural area of residence
ability were excluded. For the present analysis, only data for women
aged 21–65 years—i.e. those eligible for cervical smear testing—were in-
cluded. Ethical approval for the study was obtained from the Institu- Table 1
tional Review Board of Nationwide Children's Hospital, Columbus, OH, Demographic characteristics.
USA, and the Nepal Health Research Council, Kathmandu, Nepal. Characteristics Value a
The Surgeons OverSeas Assessment of Surgical Need (SOSAS)
Age, y (n = 829)
survey—which was developed by an international group of experts
21–49 648 (78.2)
and used in Sierra Leone and Rwanda to determine the prevalence of 50–65 181 (21.8)
conditions needing surgical care and the percentage of deaths possibly Education (n = 828)
averted through adequate access to such care [13]—was used. The None 365 (44.1)
SOSAS survey is composed of a head-of-household interview to deter- Primary school 148 (17.9)
Secondary school 188 (22.7)
mine household demographics and a head-to-toe verbal examination Tertiary level 111 (13.4)
of two, randomly chosen household members. Previous studies have Graduate degree 16 (1.9)
documented the method in detail [11,13–15]. Literacy (n = 828)
The tool was slightly modified for the Nepali context to include a vi- Illiterate 332 (40.1)
Literate 496 (59.9)
sual examination and additional questions on women's health needs
Occupation (n = 828)
[13,16]. To assess knowledge of cervical cancer, female participants Unemployed 92 (11.1)
were asked if they were aware of what a cervical smear test was and Homemaker 479 (57.9)
if they had ever had one. To assess for gynecologic comorbidities, fe- Domestic helpers 16 (1.9)
males were questioned about leucorrhea, urinary incontinence, and Farmers 76 (9.2)
Self-employed 124 (15.0)
symptoms of uterine prolapse. Government employee 21 (2.5)
The required sample size was estimated to be 753 women aged Non-government employee 20 (2.4)
21–65 years to detect a previously documented prevalence of 2% uptake Employment (n = 828)
of cervical smear tests for cervical cancer screening [7], with a 95% con- No 571 (69.0)
Yes 257 (31.0)
fidence interval and absolute precision of 1%.
Good general health (n = 829)
Univariate analysis (logistic regression) and χ2 tests were performed Yes 715 (86.2)
using Stata version 13.2 (StataCorp, College Station, TX, USA) to test the No 114 (13.8)
association between the dependent variable (history of cervical test) Village type (n = 829)
and independent variables such as age, area of residence (urban/rural), Urban 286 (34.5)
Rural 543 (65.5)
occupation, literacy, and travel time to or costs for treatment at primary, Marital status (n = 816)
secondary, and/or tertiary health centers. Women with any comorbid Married 704 (86.3)
condition such as prolapse, incontinence, or leucorrhea were catego- Unmarried 66 (8.1)
rized into a comorbid condition group and this category was used in a Divorced 4 (0.5)
Widow 42 (5.1)
multiple regression model. The Student t test was performed to assess
Knowledge of cervical smear (n = 816)
the associations between age, travel time to health center, cost of travel, No 710 (87.0)
and the dependent variable. A logistic regression analysis adjusted Yes 106 (13.0)
for variables, accounting for clustering, was performed along with for- Travel time to health facility, min
ward and backward selection of the variables. Co-linearity between Primary health center 46.46 ± 304.44
Secondary health center 173.75 ± 434.75
the variables was examined using variance inflation factors. P b 0.05
Tertiary health center 340.34 ± 1151.77
was considered significant for all statistical tests. Cost of travel to health facility, NPR b
Primary health center 27.44 ± 134.25
3. Results Secondary health center 623.01 ± 3025.81
Tertiary health center 1895.68 ± 6197.28
Other comorbid conditions
The response rate among the 1397 households randomized for the Symptoms of prolapse (n = 814) 42 (5.2)
survey was 96.6%, with 1350 households participating. Among 2695 White discharge (n = 791) 53 (6.7)
individuals interviewed, 1261 (46.8%) were female. Of the female inter- Incontinence (n = 789) 46 (5.8)
viewees, 829 (65.7%) were aged 21–65 years and were eligible for inclu- a
Values are given as number (percentage) or mean ± SD.
sion in the present analysis. b
1 Nepalese rupee = US$0.01.
Please cite this article as: Ranjit A, et al, Awareness and prevalence of cervical cancer screening among women in Nepal, Int J Gynecol Obstet
(2016), http://dx.doi.org/10.1016/j.ijgo.2015.11.019
A. Ranjit et al. / International Journal of Gynecology and Obstetrics xxx (2016) xxx–xxx 3
Table 2 Table 3
Characteristics of participants according to cervical smear test status.a Univariate and multiple analyses of variables associated with having undergone a cervical
smear test.
Characteristics Never undergone Undergone P value
cervical smear cervical smear Variable Univariate analysis Multiple logistic
test (n = 790) test (n = 39) regression analysis
Please cite this article as: Ranjit A, et al, Awareness and prevalence of cervical cancer screening among women in Nepal, Int J Gynecol Obstet
(2016), http://dx.doi.org/10.1016/j.ijgo.2015.11.019
4 A. Ranjit et al. / International Journal of Gynecology and Obstetrics xxx (2016) xxx–xxx
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Please cite this article as: Ranjit A, et al, Awareness and prevalence of cervical cancer screening among women in Nepal, Int J Gynecol Obstet
(2016), http://dx.doi.org/10.1016/j.ijgo.2015.11.019