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PLOS ONE logoLink to PLOS ONE
. 2020 Apr 28;15(4):e0232291. doi: 10.1371/journal.pone.0232291

Role of gender in perspectives of discrimination, stigma, and attitudes relative to cervical cancer in rural Sénégal

Natalia Ongtengco 1,#, Hamidou Thiam 2,#, Zola Collins 3,#, Elly Lou De Jesus 3,#, Caryn E Peterson 3,4,5,#, Tianxiu Wang 3,#, Ellen Hendrix 3,#, Youssoupha Ndiaye 6,, Babacar Gueye 7,, Omar Gassama 8,, Abdoul Aziz Kasse 9,, Adama Faye 10,, Jennifer S Smith 11,, Marian Fitzgibbon 3,5,, Jon Andrew Dykens 3,5,12,13,*,#
Editor: Mellissa H Withers14
PMCID: PMC7188246  PMID: 32343755

Abstract

Cervical cancer is the leading cause of female cancer deaths in Sénégal which is ranked 17th in incidence globally, however, the screening rate there is very low. Nuanced gendered perceptions and health behaviors of both women and men play a significant role in women’s health. Our study analyzed gender differences on perceptions of gender roles, discrimination, cancer attitudes, cancer stigma, and influences in healthcare decision making within our study population to inform ongoing cervical cancer prevention work in the rural region of Kédougou, Sénégal. We conducted a cross-sectional survey of 158 participants, 101 women and 57 men (ages 30–59) across nine non-probability-sampled communities from October 2018 through February 2019. Bivariate analysis was conducted to assess gender differences across all variables. We also conducted analyses to determine whether there were significant differences in beliefs and attitudes, by screening behavior and by education. We found significant gender differences regarding the perception of a woman’s role (P < 0.001) and a man’s role (P = 0.007) as well as in the everyday discrimination questions of “decreased respect by spouse” (P < 0.001). Regarding cancer stigma, among women, 18.00% disagreed and 10.00% strongly disagreed while among men, 3.6% disagreed and 1.8% strongly disagreed that “If I had cancer, I would want my family to know that I have it.” When making decisions about one’s healthcare, women are more likely than men to trust social contacts such as their spouse (46.5% vs 5.3%, p < 0.001) while men are more likely than women to trust health service personnel such as a nurse (50.9% vs 18.8%, p < 0.001). Furthermore, men and women were both more likely to state that men have the final decision regarding the healthcare decisions of women (p < 0.001). Our data reveal structural disadvantages for women within our study population as well as gender differences in the adapted everyday discrimination scale and cancer stigma scale. Higher rates of both personal and perceived cancer stigma among women has profound implications for how population and community level communication strategies for cancer prevention and control should be designed. Efforts to advance the goal of the elimination of cervical cancer should, in the short-term, seek to gain a more profound understanding of the ways that gender, language, and other social determinants impact negative social influences and other barriers addressable through interventions. Social and behavior change communication may be one approach that can focus both on education while seeking to leverage the social influences that exist in achieving immediate and long-term goals.

Introduction

There are over half a million cervical cancer cases diagnosed annually making it the third most common cancer in women worldwide. [1] Additionally, it is the leading cause of female cancer deaths in Sénégal with an estimated 1,876 cervical cancer cases diagnosed annually with 1,367 deaths resulting in a age-standardized mortality rate of 29.1 compared to 6.9 globally. [2] The age-standardized cervical cancer incidence rate in North America is 7.6/100,00 women compared to 23/100,000 in Western Africa and 37.8/100,000 in Sénégal, ranking it the 17th highest incidence in the world. [3,4] Despite the effectiveness of cervical cancer screening and treatment in reducing incidence and mortality, [5] the estimated participation rate for cervical cancer screening in Sénégal is very low (6.9% of all women ages 18 to 69). It is especially low in rural areas and in older age groups (1.9% of women ages 40 to 49 and 0% for women 50 and above). [6] Cervical cancer screening remains unavailable in many rural areas of Senegal but has been accessible throughout the Kédougou region of Sénégal since 2014 through the efforts of an ongoing partnership. [7] Cervical cancer is both preventable and concentrated in low- and middle-income countries (LMICs) [8] with over 85% of global cervical cancer deaths occurring in LMICs. [3] The high incidence and mortality of cervical cancer is an important indicator of larger health system problems, including poor access to care and screening and the lack of culturally competent communication; factors that disproportionately affect poor women. [9]

Gender is recognized as an important social determinant of health. [10] In many contexts there is a structural disadvantage for women that goes beyond the fact of the illnesses affecting them. Nuanced gendered perceptions and health behaviors of both women and men play a significant role in women’s ability to access the care that they need. [11] Men or older family members are often the decision makers for when and how women may gain access to healthcare. [12] In addition, when women are empowered, their increased decision-making autonomy and access to economic resources have a positive effect on their use of healthcare services. [13,14] Conversely, perceived discrimination reduces the likelihood of seeking cervical cancer screenings, [15] and shame and stigma limits women’s overall use of health services. [12]

Previous studies have found important gender differences for stigmatized illnesses such as HIV/AIDS and mental illness in LMICs. [1622] In Kenya and Pakistan, women had higher personal stigma attitudes than men toward HIV/AIDS, depression, and HPV infection. [18,21,23] There are also gender differences for acceptability of treatment, including seeking psychological help and getting vaccinated. [16,24,25] Many of these studies emphasize the need to incorporate gender-specific components in interventions to increase acceptability and healthcare utilization. [16,17,21,24,26] For example, a study found male-female differences on effective strategies to increase HPV vaccine acceptability: for men, it was most effective to correct misconceptions, promote healthcare provider recommendations, and emphasize perceived benefits, whereas for women, it was more important to address gender norms and discrimination. [24] A meta-analysis on gender differences related to HPV vaccine acceptability found similar results. [17]

There is limited research on stigma associated with cervical cancer. Social stigmas around sexual behavior and HPV infection [27] may contribute to vaccine and screening hesitancy. Social stigma can manifest as personal stigmas (i.e., how one views and treats others) or as perceived public stigmas (i.e., how one thinks others view and treat them). [28] In addition, the expression of attitudes related to stigma is moderated by social influence—that is by the ability of individuals to affect one another’s thoughts, ideas, and behaviors. [2931] In these ways, negative social influences play a role in spreading negative behaviors [29,32] and may be linked to cervical cancer screening hesitancy. Understanding how these factors contribute to the acceptability and adoption of cervical cancer prevention is of paramount importance. A broader knowledge of the relationship of gender differences within stigma, discrimination, and acceptability may help to improve the global response to cervical cancer. Our study analyzed gender differences on perceptions of gender roles, discrimination, cancer attitudes, cancer stigma, and influences in healthcare decision making within our study population.

Methods

We conducted a cross-sectional survey of 158 participants, 101 women and 57 men (ages 30–59) across nine non-probability-sampled communities (two rural and one semi-urban from each district, across three districts) in the Kédougou region of Sénégal from October 2018 through February 2019. We collected demographic information and data on health service utilization, cervical cancer knowledge, and experience of cervical cancer screening through interviewer-administered surveys. The surveys were administered to one woman and one man per 10 randomly selected households and five women per women’s group within each community. Survey interviews were conducted in the participants’ choice of language: French, Malinke, or Pulaar. Participants were eligible for inclusion in the study if they were between 30–59 years old and were female or were a male living with a female who is able to seek cervical cancer prevention services from a health facility in the Kédougou region of Sénégal. Participants who were outside the target age-range were not eligible for participation.

Site selection and recruitment

The region of Kédougou is divided into three medical districts: Kédougou, Saraya, and Salemata. Each of these health districts has a single health center in the district capital and multiple health posts in the rural surrounding communities. We selected nine sites in the Kédougou Medical Region through non-probability sampling including one health center and two rural health posts from each of the three districts comprising the region. In the Kédougou District we selected the Dalaba health post (population accessing this health post = 5995), Bandafassi (7189), and Dindefello (9370). In the Salemata District we selected the Salemata Health Center (7278) and the health posts of Dar Salaam (3084) and Dakately (3037). In the Saraya District, we selected the Saraya Health Center (5890) and the posts of Nafadji (3759) and Khossanto (3471). Each of the nine sites was mapped through OpenStreetMaps. [33] Printable maps were created (using FieldPapers [34]) to illustrate structures (assumed to be households), roads, and rivers in each site. Maps were divided into four sectors with approximately the same number of structures in each quadrant. Structures were numbered and Google’s random number generator was used to determine the starting point. Counting in increments of the limiting factor, each chosen structure was marked and recorded. This ensured a relatively even distribution of structures selected throughout each site. Twenty structures per site (n = 180) were selected and visited in order to assess for eligibility. Potential participants were recruited using the approved recruitment script. Households were selected if there was both an eligible woman and man who agreed to participate. An additional five women were recruited in each site from among the women’s group to strengthen the assessment at the community level. The target sample size of 225 (135 women and 90 men) was determined based on the need to have a heterogeneous sample across language and district. Our sample was not adequately powered to detect differences between screened and unscreened women.

Development of documents

The questionnaire included closed-ended, quantitative questions seeking information on participant’s perceptions of discrimination, cancer stigma, opinions, and attitudes. We included adapted questions from the Everyday Discrimination Scale [35] and the Cancer Stigma Scale. [36] The questionnaires were first created in English, translated into French and the local languages of Jakhanke/Malinke and Pula Fuuta (a dialect of Fula/Pulaar), and then back-translated for accuracy by certified Sénégalese translators. Questionnaires were field tested for comprehension prior to the initiation of the study. All IRB approved documents including study overview, recruitment scripts, and the informed consent were available in French, Malinke, and Pulaar.

Consent and data collection

All research assistant data collectors participated in a three-day training on the project protocol including data collection methodology facilitated by the lead investigator prior to field testing the instrument. After final institutional review board approval, research assistants attended an additional three-day training to review all data collection procedures. The study research assistants read the informed consent aloud, in the participants preferred language, and participants reviewed and signed the approved informed consent short form, written in French. In cases where the participant did not read French, a trusted contact was requested by the participant to witness the informed consent process, observe the signature of the participant, and then sign as a witness. After participants were consented, data collection was conducted immediately with a female research assistant collecting data from women and a male research assistant collecting data from men. All data collection activities were performed in a private setting. Data collection interviews occurred in the preferred language of the participant. All responses were recorded on hard copy interview forms with the name of the participant being the only item recorded on the final page. All data collection instruments were immediately handed over to the lead research assistant, who recorded the participant’s name on the participant code book, placed a unique identifier on page one of the data collection instrument, removed and destroyed the final page of each instrument, scanned all documents, and transmitted them through a secure portal to a research assistant in the United States.

Data analysis

Data were double-entered into an electronic spreadsheet by two research assistants, compared, approved and subsequently cleaned by the principal investigator. Bivariate analyses were conducted to 1) assess gender differences in the distribution of all variables including the adapted everyday discrimination scale, cancer stigma scale, and various cervical cancer attitude measures; 2) determine whether there were significant differences in beliefs and attitudes by screening behavior; and 3) explore the potential effect of educational attainment on gender differences in attitudes and beliefs. To accomplish the third analysis, we created a composite variable combining gender and education, categorizing those with Quranic school or no school as having “Low Education” and those who attended primary school, secondary school, and above as having “Higher Education.” Associations were tested using the Fisher’s Exact test statistic (we computed the p-value for analyses by way of the Two- Stage Fisher’s Exact Test using RStudio version 1.2.1578 through the Dplyr and Arsenal packages).

The conduct of responsible research and partnership

The University of Illinois at Chicago has an ongoing partnership affiliation agreement with the Institute of Health and Development at the University Cheikh Anta Diop and with the Medical Region of Kédougou. This partnership uses a participatory approach ensuring that all activities are well-aligned with the expressed priorities of the local health system. This human subjects research was approved by the University of Illinois at Chicago Institutional Review Board and the Institutional Review Board at the Ministry of Health and Social Action in Senegal. The Medical Region of Kédougou, the three health districts, and participating health posts granted researchers permission through signed letters of support to implement and conduct the data collection activities. Each investigator and U.S. based research assistant received the Collaborative Institutional Training Initiative (CITI) training certification prior to conducting the research. [37] All local research assistants were trained in research ethics through a locally approved ethics of human research training program.

Results

Our enrollment goal was 225 (135 women and 90 men). With 158 participants (101 women and 57 men), we achieved a functional response rate of 70.2%. The response rate for women was appreciably higher than for men (74.8% and 63.3%, respectively). The mean age of participants was 41.6 with the mean age of men (44.1) being slightly higher than the mean age of women (40.2). The distribution of participants across sites is reported in Table 1. There were significant gender differences in educational level (P <0.001). Among those surveyed, 97% of all women and 76.8% of all men had no more than a primary education while 25.7% of women and 10.3% of men had no formal education at all. No women in our sample attended more than two years of secondary school while 8.9% of men were educated beyond two years of secondary school and an additional 7.1% had at least some university education. The majority of participants (92.1% of women and 94.7% of men) were married, and among all women, 51.5% were in a polygamous household (P = 0.004). The majority of our sample speaks one or both prevalent local languages, Malinke (62.7%) and Pulaar (59.5%). As is characteristic for the region, there are fewer Wolof (26.6%) and French (31%) speakers in our sample. It should be noted that there are significantly more male Wolof (36.8%) than female Wolof (20.8%) speakers (P = 0.039) as well as male French (45.6%) than female French (22.8%) speakers (P = 0.004). Among the women in our sample, 84.2% have never been screened for cervical cancer, 13.9% have been screened one time, and 2.0% have been screened multiple times. (Table 1)

Table 1. Demographics by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
Age in years 0.006
 Mean (SD) 40.168 (8.631) 44.140 (8.355) 41.601 (8.718)
 Range 30.000–59.000 30.000–59.000 30.000–59.000
Community 0.785
 Salemata District—Salemata 9 (8.9%) 5 (8.8%) 14 (8.9%)
 Salemata District—Dar Salaam 5 (5.0%) 5 (8.8%) 10 (6.3%)
 Salemata District—Dakately 10 (9.9%) 9 (15.8%) 19 (12.0%)
 Saraya District—Saraya 15 (14.9%) 7 (12.3%) 22 (13.9%)
 Saraya District—Nafadji 15 (14.9%) 4 (7.0%) 19 (12.0%)
 Saraya District—Khossanto 8 (7.9%) 7 (12.3%) 15 (9.5%)
 Kedougou District—Dalaba 12 (11.9%) 6 (10.5%) 18 (11.4%)
 Kedougou District—Bandifassi 15 (14.9%) 8 (14.0%) 23 (14.6%)
 Kedougou District—Dindefello 12 (11.9%) 6 (10.5%) 18 (11.4%)
Education level < 0.001
 None 26 (25.7%) 5 (8.9%) 31 (19.7%)
 Quranic School 35 (34.7%) 21 (37.5%) 56 (35.7%)
 Primary education 37 (36.6%) 17 (30.4%) 54 (34.4%)
 Secondary school through university 3 (3.0%) 13 (23.2%) 16 (10.2%)
Marital status 0.071
 Single, divorced, separated, or widowed 8 (7.9%) 3 (5.3%) 11 (7.0%)
 Married (monogamous household) 41 (40.6%) 34 (59.6%) 75 (47.5%)
 Married (polygamous household) 52 (51.5%) 20 (35.1%) 72 (45.6%)
Malinke speaker 0.733
 No 39 (38.6%) 20 (35.1%) 59 (37.3%)
 Yes 62 (61.4%) 37 (64.9%) 99 (62.7%)
Pulaar speaker 0.019
 No 48 (47.5%) 16 (28.1%) 64 (40.5%)
 Yes 53 (52.5%) 41 (71.9%) 94 (59.5%)
Wolof speaker 0.039
 No 80 (79.2%) 36 (63.2%) 116 (73.4%)
 Yes 21 (20.8%) 21 (36.8%) 42 (26.6%)
French speaker 0.004
 No 78 (77.2%) 31 (54.4%) 109 (69.0%)
 Yes 23 (22.8%) 26 (45.6%) 49 (31.0%)
Screened for cervical cancer
 Never screened 85 (84.2%) 0 85 (84.2%)
 One time only 14 (13.9%) 0 14 (13.9%)
 More than one time 2 (2.0%) 0 2 (2.0%)

We found significant gender differences regarding the perception of a woman’s role (P < 0.001) and a man’s role (P = 0.007). Among women, 7.0% agreed and 59.0% strongly agreed that a woman’s most important role is to take care of her home and cook for her family, while among men, 43.9% agreed and 40.4% strongly agreed with this statement. Concerning a man’s role, 14.9% of women agreed and 53.5% strongly agreed that a man should have the final word about decisions in his home, while among men, 23.2% agreed and 69.6% strongly agreed. (Table 2)

Table 2. Perception of gender roles by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
A woman’s most important role is to take care of her home and cook for her family < 0.001
 Strongly Disagree 6 (6.0%) 1 (1.8%) 7 (4.5%)
 Disagree 26 (26.0%) 6 (10.5%) 32 (20.4%)
 Undecided 2 (2.0%) 2 (3.5%) 4 (2.5%)
 Agree 7 (7.0%) 25 (43.9%) 32 (20.4%)
 Strongly Agree 59 (59.0%) 23 (40.4%) 82 (52.2%)
A man should have the final word about decisions in the home 0.009
 Strongly Disagree 7 (6.9%) 1 (1.8%) 8 (5.1%)
 Disagree 24 (23.8%) 3 (5.4%) 27 (17.2%)
 Undecided 1 (1.0%) 0 (0.0%) 1 (0.6%)
 Agree 15 (14.9%) 13 (23.2%) 28 (17.8%)
 Strongly Agree 54 (53.5%) 39 (69.6%) 93 (59.2%)

Within our study population, we found significant gender differences in the everyday discrimination questions of “decreased respect by spouse” (P < 0.001) and “others act toward them as if they are not smart” (P = 0.031). Specifically, 48.0% of women and 78.8% of men stated that they never experienced disrespect by their spouse, while, in contrast, 14.3% of women and 0% of men stated that they are treated with less courtesy or respect by their spouse on a daily basis. Men were significantly more likely to feel that others acted as if they are not smart. Of the men who stated that they perceived this type of discrimination, 32.1% stated that this occurred a few times in their life, 9.4% that it occured a few times per year and none stated that it occured weekly or daily. Within our study, 78.2% of women and 58.5% of men stated that they were never perceived as unintelligent by others. Of the women who stated that they perceived this type of discrimination, 15.8% stated that this occurred a few times in my life, 4.0% that it occured a few times per year and 2.0% stated that it occured weekly or daily. Most participants (83.8%) never felt perceived as being dishonest, and 81.8% never felt threatened by others. (Table 3)

Table 3. Adapted everyday discrimination scale by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
Feel treated with less courtesy or respect than others 0.093
 Every day 9 (9.2%) 0 (0.0%) 9 (5.9%)
 Every week 2 (2.0%) 0 (0.0%) 2 (1.3%)
 A few times per year 6 (6.1%) 3 (5.6%) 9 (5.9%)
 A few times in my life 22 (22.4%) 10 (18.5%) 32 (21.1%)
 Never 59 (60.2%) 41 (75.9%) 100 (65.8%)
Feel treated with less courtesy or respect by their spouse 0.001
 Every day 14 (14.3%) 0 (0.0%) 14 (9.3%)
 Every week 4 (4.1%) 0 (0.0%) 4 (2.7%)
 A few times per year 15 (15.3%) 2 (3.8%) 17 (11.3%)
 A few times in my life 18 (18.4%) 9 (17.3%) 27 (18.0%)
 Never 47 (48.0%) 41 (78.8%) 88 (58.7%)
Feel that others act as if they are not smart 0.031
 Every day 1 (1.0%) 0 (0.0%) 1 (0.6%)
 Every week 1 (1.0%) 0 (0.0%) 1 (0.6%)
 A few times per year 4 (4.0%) 5 (9.4%) 9 (5.8%)
 A few times in my life 16 (15.8%) 17 (32.1%) 33 (21.4%)
 Never 79 (78.2%) 31 (58.5%) 110 (71.4%)
Feel perceived as being dishonest 0.109
 Every day 0 (0.0%) 0 (0.0%) 0 (0.0%)
 Every week 0 (0.0%) 0 (0.0%) 0 (0.0%)
 A few times per year 1 (1.0%) 2 (4.2%) 3 (2.0%)
 A few times in my life 11 (11.0%) 10 (20.8%) 21 (14.2%)
 Never 88 (88.0%) 36 (75.0%) 124 (83.8%)
Feel threatened by others 0.422
 Every day 1 (1.0%) 0 (0.0%) 1 (0.7%)
 Every week 0 (0.0%) 0 (0.0%) 0 (0.0%)
 A few times per year 3 (3.0%) 3 (6.1%) 6 (4.1%)
 A few times in my life 16 (16.2%) 4 (8.2%) 20 (13.5%)
 Never 79 (79.8%) 42 (85.7%) 121 (81.8%)

Regarding cancer stigma, we found significant gender differences for those who would not feel comfortable around someone with cancer (P < 0.001), concerning perceptions of cancer patients being normal (P < 0.001), the need to prioritize the needs of people with cancer (P < 0.001), perceptions of a cancer diagnosis being the fault of the individual (P < 0.001), that cancer is more frightening than other diseases (P < 0.001), and that women worry about getting cancer (P < 0.001). Among women, 19.0% agreed and 25.0% strongly agreed while among men, 16.1% agreed and only 1.8% strongly agreed that “I would not feel comfortable around someone with cancer.” Among women, 31.0% agreed and 57.0% strongly agreed while among men, 41.1% agreed and 8.9% strongly agreed that once you’ve had cancer you’re never ‘normal’ again. Among women, 31.3% agreed and 32.3% strongly agreed while among men, 3.6% agreed and 5.4% strongly agreed that the health care needs of people with cancer should not be prioritized. Among women, 16.0% agreed and 27.0% strongly agreed while among men, 12.5% agreed and 1.8% strongly agreed that if a person has cancer it’s probably their fault. Among women, 34.3% agreed and 50.5% strongly agreed while among men, 36.4% agreed and 16.4% strongly agreed that cancer is more frightening than most other diseases. Among women 48.0% strongly agree while only 7.1% of men strongly agree that other women often state that they are worried about getting cancer. We found no significant difference between women and men in stating that “I would feel sorry for someone with cancer.” Among all respondents, 48.1% agree and 40.4% strongly agree. (Table 4)

Table 4. Adapted cancer stigma scale by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
I would not feel comfortable around someone with cancer. < 0.001
 Strongly Disagree 11 (11.0%) 11 (19.6%) 22 (14.1%)
 Disagree 44 (44.0%) 31 (55.4%) 75 (48.1%)
 Undecided 1 (1.0%) 4 (7.1%) 5 (3.2%)
 Agree 19 (19.0%) 9 (16.1%) 28 (17.9%)
 Strongly Agree 25 (25.0%) 1 (1.8%) 26 (16.7%)
Once you’ve had cancer you’re never normal again. < 0.001
 Strongly Disagree 2 (2.0%) 7 (12.5%) 9 (5.8%)
 Disagree 8 (8.0%) 12 (21.4%) 20 (12.8%)
 Undecided 2 (2.0%) 9 (16.1%) 11 (7.1%)
 Agree 31 (31.0%) 23 (41.1%) 54 (34.6%)
 Strongly Agree 57 (57.0%) 5 (8.9%) 62 (39.7%)
The health care needs of people with cancer should not be prioritized. < 0.001
 Strongly Disagree 9 (9.1%) 18 (32.1%) 27 (17.4%)
 Disagree 24 (24.2%) 31 (55.4%) 55 (35.5%)
 Undecided 3 (3.0%) 2 (3.6%) 5 (3.2%)
 Agree 31 (31.3%) 2 (3.6%) 33 (21.3%)
 Strongly Agree 32 (32.3%) 3 (5.4%) 35 (22.6%)
If a person has cancer it is probably their fault. < 0.001
 Strongly Disagree 11 (11.0%) 11 (19.6%) 22 (14.1%)
 Disagree 40 (40.0%) 23 (41.1%) 63 (40.4%)
 Undecided 6 (6.0%) 14 (25.0%) 20 (12.8%)
 Agree 16 (16.0%) 7 (12.5%) 23 (14.7%)
 Strongly Agree 27 (27.0%) 1 (1.8%) 28 (17.9%)
I would feel sorry for someone with cancer. 0.140
 Strongly Disagree 1 (1.0%) 4 (7.1%) 5 (3.2%)
 Disagree 9 (9.0%) 3 (5.4%) 12 (7.7%)
 Undecided 0 (0.0%) 1 (1.8%) 1 (0.6%)
 Agree 48 (48.0%) 27 (48.2%) 75 (48.1%)
 Strongly Agree 42 (42.0%) 21 (37.5%) 63 (40.4%)
I feel that cancer is more frightening than most other diseases. < 0.001
 Strongly Disagree 0 (0.0%) 6 (10.9%) 6 (3.9%)
 Disagree 11 (11.1%) 15 (27.3%) 26 (16.9%)
 Undecided 4 (4.0%) 5 (9.1%) 9 (5.8%)
 Agree 34 (34.3%) 20 (36.4%) 54 (35.1%)
 Strongly Agree 50 (50.5%) 9 (16.4%) 59 (38.3%)
Other women often state that they are worried about getting cancer. < 0.001
 Strongly Disagree 0 (0.0%) 1 (1.8%) 1 (0.6%)
 Disagree 3 (3.0%) 1 (1.8%) 4 (2.6%)
 Undecided 24 (24.0%) 30 (53.6%) 54 (34.6%)
 Agree 25 (25.0%) 20 (35.7%) 45 (28.8%)
 Strongly Agree 48 (48.0%) 4 (7.1%) 52 (33.3%)

We found significant gender differences for certain cancer related attitudes such as the need to get cancer testing or treatment even if it is unpleasant (P = 0.044), the desire for family to know of a personal cancer diagnosis (P < 0.001), and the personal desire to know of a cancer diagnosis in a family member (P < 0.001). Among women, 18.0% disagreed and 10.0% strongly disagreed while among men, 3.6% disagreed and 1.8% strongly disagreed that “If I had cancer, I would want my family to know that I have it.” Among women, 25.3% disagreed and 4.0% strongly disagreed while among men, 0% disagreed and 1.8% strongly disagreed that “if someone else in my family had cancer, I would want to know that they have it.” Among all respondents a considerable number agreed (50.6%) or strongly agreed (32.5%) that cancer testing or treatment that is unpleasant is worth getting if it would help them to live longer. In addition, among all respondents a considerable number agreed (37.0%) or strongly agreed (57.8%) that if they had cancer, they would want to know that they have it. Among all respondents, 32.1% agreed and 11.5% strongly agreed that getting a serious disease like cancer is fate, there is nothing they can do to change fate. (Table 5)

Table 5. Cancer attitudes by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
Cancer testing or treatment that is unpleasant is worth getting if it would help me to live longer 0.044
 Strongly Disagree 2 (2.0%) 1 (1.9%) 3 (1.9%)
 Disagree 8 (8.0%) 0 (0.0%) 8 (5.2%)
 Undecided 9 (9.0%) 6 (11.1%) 15 (9.7%)
 Agree 44 (44.0%) 34 (63.0%) 78 (50.6%)
 Strongly Agree 37 (37.0%) 13 (24.1%) 50 (32.5%)
If I had cancer, I would want to know that I have it 0.110
 Strongly Disagree 1 (1.0%) 1 (1.8%) 2 (1.3%)
 Disagree 5 (5.1%) 0 (0.0%) 5 (3.2%)
 Undecided 0 (0.0%) 1 (1.8%) 1 (0.6%)
 Agree 40 (40.4%) 17 (30.9%) 57 (37.0%)
 Strongly Agree 53 (53.5%) 36 (65.5%) 89 (57.8%)
If I had cancer, I would want my family to know that I have it. < 0.001
 Strongly Disagree 10 (10.0%) 1 (1.8%) 11 (7.1%)
 Disagree 18 (18.0%) 2 (3.6%) 20 (12.8%)
 Undecided 3 (3.0%) 3 (5.4%) 6 (3.8%)
 Agree 39 (39.0%) 17 (30.4%) 56 (35.9%)
 Strongly Agree 30 (30.0%) 33 (58.9%) 63 (40.4%)
If someone else in my family had cancer, I would want to know that they have it. < 0.001
 Strongly Disagree 4 (4.0%) 1 (1.8%) 5 (3.2%)
 Disagree 25 (25.3%) 0 (0.0%) 25 (16.1%)
 Undecided 0 (0.0%) 0 (0.0%) 0 (0.0%)
 Agree 38 (38.4%) 23 (41.1%) 61 (39.4%)
 Strongly Agree 32 (32.3%) 32 (57.1%) 64 (41.3%)
Getting a serious disease like cancer is fate, there is nothing I can do to change fate 0.139
 Strongly Disagree 24 (24.0%) 11 (19.6%) 35 (22.4%)
 Disagree 27 (27.0%) 10 (17.9%) 37 (23.7%)
 Undecided 6 (6.0%) 10 (17.9%) 16 (10.3%)
 Agree 30 (30.0%) 20 (35.7%) 50 (32.1%)
 Strongly Agree 13 (13.0%) 5 (8.9%) 18 (11.5%)

When making decisions about one’s healthcare, women are more likely than men to trust social contacts such as their spouse (46.5% vs 5.3%, p < 0.001), their children (10.9% vs 0%, p = 0.008), or other family members (17.8% vs 3.5%, p = 0.011). Men however are more likely than women to trust individuals within the health system such as a physician (22.8% vs 2.0%, p < 0.001), a nurse (50.9% vs 18.8%, p < 0.001), or a community health worker (21.1% vs 0.0%, p < 0.001). (See Fig 1) Furthermore, men are more likely than women to say that they have the final say at home regarding their own healthcare decisions (78.9% vs 16.0%, p < 0.001), while women are more likely than men to state that their spouse has the final say (72.0% vs 8.8%, p < 0.001). When women were asked, specifically, about opinions regarding their decision to get screened for cervical cancer, 55.4% of women stated that the head of the household would be most influential. (See Fig 2)

Fig 1. Trusted opinion for healthcare decisions.

Fig 1

Fig 2. Self-autonomy for healthcare decisions.

Fig 2

Although there were no statistically significant gender differences in questions related to screening recommendations, it is noteworthy that among all respondents, 19.7% strongly agree, 41.4% agree, and 32.5% remain undecided that overall, other women that they know recommend the cervical cancer test. In addition, 49.4% strongly agree, 37.2% agree, and 9.0% remain undecided that they would recommend that women get routine testing for cervical cancer. (Table 6)

Table 6. Cervical cancer screening recommendation by gender.

Female (N = 101) Male (N = 57) Total (N = 158) p value
Other women that I know recommend the cervical cancer test 0.832
 Strongly Disagree 2 (2.0%) 1 (1.8%) 3 (1.9%)
 Disagree 4 (4.0%) 3 (5.4%) 7 (4.5%)
 Undecided 30 (29.7%) 21 (37.5%) 51 (32.5%)
 Agree 43 (42.6%) 22 (39.3%) 65 (41.4%)
 Strongly Agree 22 (21.8%) 9 (16.1%) 31 (19.7%)
I would recommend that women get routine testing for cervical cancer 0.428
 Strongly Disagree 3 (3.0%) 1 (1.8%) 4 (2.6%)
 Disagree 3 (3.0%) 0 (0.0%) 3 (1.9%)
 Undecided 11 (11.1%) 3 (5.3%) 14 (9.0%)
 Agree 33 (33.3%) 25 (43.9%) 58 (37.2%)
 Strongly Agree 49 (49.5%) 28 (49.1%) 77 (49.4%)

Screened correlation

Subsequently, we correlated all variables with screening behavior among women. S1 Table lists these results. Among women who have been screened once, 92.3% strongly recommend that other women get screened compared to 44.0% of women never screened. (P = 0.006) Among women who have never been screened, 48.2% disagree and 4.7% strongly disagree that they would not feel comfortable around someone with cancer. However, among those who have been screened a single time, 15.4% disagree and 46.2% strongly disagree with this statement (P < 0.001). Among women who were screened one time, 61.5% strongly agreed that if a person has cancer it’s probably their fault compared to 22.4% of women who have never been screened (P = 0.003). In addition, 76.9% of women who have been screened one time strongly agreed that other women often state that they are worried about getting cancer compared to only 44.7% of women never screened (P = 0.019).

In correlating cancer attitudes with screening behavior we discovered that 91.7% of women screened a single time strongly agreed that they would want to know if they were diagnosed with cancer compared with 49.4% of women never screened (P = 0.039). However, results indicating desire for a family member to know about diagnosis were insignificant. It is notable that on this question nearly half of those who had been screened one time either disagreed (23.1%) or strongly disagreed (23.1%) that they would want a family member to know about their diagnosis compared to 17.6% and 8.2% respectively for women never screened. We found that among both women who have never been screened and those who have been screened one time, most prefer to know about the diagnosis of someone else in the family. Of those who have never been screened, 40.5% agree and 29.8% strongly agree that they would want to be informed. Among those screened once, 15.4% agree and 53.9% strongly agree that they would like to be informed of a family member’s diagnosis. (P = 0.041) Among women screened a single time, 61.5% strongly disagreed that cancer is fate and there is nothing they can do to change fate compared with 18.8% of never screened women who strongly disagreed with this statement. (P = 0.012) (Table not shown. See S1 Table)

Education effect on gender perceptions

In examining the effect of education on gender perceptions across all variables, it should be noted that 97% of the women in the study received no more than primary education, while 23.1% of men received some secondary schooling or above. We, therefore, compared the effect of Quranic school or no education to primary education or above across all variables. Through this analysis, we identified statistically significant findings for education level relative to perceptions of a woman’s role as caretaker (P < 0.001) and a man’s role as decision maker (P < 0.001). Among women with “Higher Education” 47.5% disagreed with the statement “A woman’s most important role is to take care of her home and cook for her family” and only 11.7% of women with “Low Education” disagreed while among men, 3.8% and 16.7% of those with “Low Education” and “Higher Education” respectively disagreed. Among women with “Higher Education” 37.5% disagreed with the statement “A man should have the final word about decisions in his home” and only 14.8% of women with “Low Education” disagreed while among men, 10.3% of those with “Higher Education” disagreed. No men classified as having “Low Education” disagreed with this statement. (See S2 Table)

Concerning the adapted everyday discrimination scale analyzed with the gender-education composite variable, we found significant results for a) ‘generally feel treated with less courtesy than others’ (P = 0.008), b) ‘feel treated with less respect by their spouse,’ (P = 0.010) c) ‘perceived as unintelligent by others’ (P < 0.001), d) ‘feel perceived as being dishonest’ (P = 0.008), and e) ‘feel threatened by others’ (P = 0.042). (See S3 Table) Regarding the adapted cancer stigma scale, we found significant results regarding a) ‘comfort with being around someone with cancer’ (P < 0.001), b) ‘those diagnosed with cancer are no longer normal’ (P < 0.001), c) ‘the healthcare needs of people with cancer should not be prioritized’ (P < 0.001), d) ‘having cancer is probably the fault of that person’ (P < 0.001), e) ‘cancer is more frightening than other diseases’ (P < 0.001), and f) ‘other women often state that they are worried about getting cancer’ (P < 0.001),. Illustrating this effect of education, we found that 59.0% of women with “Higher Education” disagreed that having cancer is the fault of that person, while 27.9% of women who had “Low Education” disagreed with this statement. Among men, we found that 50.0% and 34.5% of those with “Low” and “Higher” education respectively strongly disagreed with the statement. (See S4 Table) In addition, we found significant effect of education on gender perceptions on other cancer attitudes including: a) the value of cancer testing, even if unpleasant (P = 0.011), b) desire to be informed about one’s personal cancer diagnosis (P = 0.024), c) desire for family to be aware of one’s cancer diagnosis (P = 0.002), c) desire to know of cancer diagnosis for another family member (P < 0.001), and d) getting cancer is fate (P = 0.001). (See S5 Table) We did not find any significant impact of education on gender perceptions of recommendation for the cervical cancer screening test. (See S6 Table)

Discussion

We have identified differences by gender in the perception of gender roles, everyday discrimination, cancer stigma indicators, other cancer-related attitudes, trusted opinion in healthcare decisions, and autonomy in healthcare decision-making. These findings reveal structural gender disadvantages and important insights related to social influences that may play a role in decision-making and screening behavior. Our findings concerning social influences are valuable in illustrating the importance of better understanding key social norms.

Structural gender disadvantages

Our data reveal some structural disadvantages for women within our study population. Women were less educated than men, and, in turn, were less likely to speak the national languages, Wolof and French. Education and language are both meaningful social determinants of health [38] and may be indicators of status and empowerment, both of which are key to accessing healthcare within this population. In addition, the social role for women in Southeastern Sénégal appears to be largely agreed upon between women and men. In this region, women generally work in the home and men conduct business and make decisions on the part of the family. Somewhat more women than men disagreed with these prescribed roles lending weight to the desire by some women for more autonomy.

Our data also indicate gender differences among variables in the adapted everyday discrimination scale within this population. Women were much more likely to state that they are treated with less courtesy or respect by their spouse on a frequent basis. In contrast, feeling general disrespect outside of the home are not significant. This finding may, therefore, be closely tied to the accepted social roles of women and men. Interestingly, men were somewhat more likely to feel perceived as being unintelligent. We have no explanatory mechanism, but this phenomenon may be related to men being much more likely to take on the role of leader in business interactions. In doing so, men are much more likely to travel and engage with others who have higher levels of education. They, therefore, may be comparing themselves to a different audience than women.

Attitudes and stigma

Our findings indicate that women are much more likely to personally stigmatize cancer. Women are significantly more likely than men to state that a) they would feel uncomfortable around someone with cancer, b) someone with a cancer diagnosis is never normal again, c) the health needs of people with cancer should not be prioritized, d) if a person has cancer it is probably their fault, e) I feel that cancer is more frightening than most other diseases, and f) other women often state that they are worried about getting cancer. Both women and men agreed on the importance of seeking screening or treatment for cancer, as well as the desire to know personally about a screening result. However, we found a significant difference between women and men concerning the desire for others to know about a personal cancer diagnosis. We found a similar pattern concerning the desire to know about a family member’s cancer diagnosis. This may indicate that women are also more likely to have a perceived stigma against cancer. These findings are intriguing and warrant further investigation. Higher rates of both personal and perceived cancer stigma among women has profound implications for how population and community level communication strategies for cancer prevention and control should be designed. Given that social norms play a critical role in the development of stigmas, we need a better understanding of the negative social influences that shape women’s and men’s knowledge, attitudes, and beliefs, as well as whether early positive social influences may be impactful in increasing early uptake for cancer prevention services.

Social influences

Our data show that women are much more likely to rely on the guidance and advice of their spouses or others within their immediate social network while men rely on the recommendations of health professionals when considering health care decisions. The large majority of women and men agree that it is the men who have the healthcare seeking decision making power at home. While the individual variables in our study (categorized as attitudes, discrimination, and stigma) are not altogether specific to cervical cancer, our data does indicate that both women and men would recommend the cervical cancer screening test to others. The perceived recommendation of the screening test from other women, however, is not as considerable.

Screening behavior

Women who have been screened are much more likely than non-screened women to recommend that other women get routine cervical cancer screening. In addition, it appears that they are less likely to display personal stigma toward cancer patients as evidenced by disagreement with having discomfort around a cancer patient. Screened women do note that other women are worried about getting cancer. If they were personally diagnosed or someone in their family were diagnosed, they would overwhelmingly want to know. However, on the question to inform family members of their own diagnosis, they are split. Further inquiry to explore this contradictory finding could pursue whether some women prefer others not be informed of a diagnosis because of shame, perceived stigma, stoicism, or other potential reasons.

Interestingly, screened women tended to strongly agree that a diagnosis of cancer is the fault of the person. Even though all questions were field tested, this may indicate confusion underlying the premise of the question. It is not possible to know if the women who responded in this way have responded specific to the context of cervical cancer and are indicating that they feel that screening is a way to prevent this illness, and, therefore, it is the responsibility of the individual to seek this service. Lending weight to this supposition is the fact that 61.5% of screened women strongly disagreed that cancer is fate. This significant finding illustrates the importance of ensuring that women feel empowered to prevent cervical cancer through screening by ensuring that stigma, attitudes, and beliefs are prioritized through outreach efforts aimed at uptake.

Effect of educational achievement on gender perceptions

Our findings exploring the effect of educational achievement on gender perceptions have considerable implications for future work. Concerning a woman’s role, there is a clear correlation with increased education among women and men and disagreement with the statement outlining a very traditional perspective. Likewise, increased levels of education indicate that both men and women are more likely to disagree that men are the sole decision maker in the family. We see similar attenuation of gender specific findings on the adapted everyday discrimination scale, the adapted cancer scale, and other cancer-specific attitudes and opinions. This brings to light critical questions to be addressed through future research, the results of which could impact the development of educational, behavioral change, and social mobilization focused interventions aimed at cancer and, specifically, cervical cancer prevention and control at various levels (individual, household, community, organizational, and policy).

Confronting barriers and context

Our findings that illustrate that gender roles in decision making, gender influences in discrimination and cancer stigmas, and other structural barriers such as educational attainment and language are meaningful social determinants of health related to cervical cancer screening uptake in Senegal. The existing literature exploring these themes is not robust but presents some insights that may be helpful in further interpreting our findings and guiding our next steps. As an example, cultural norms, gender roles, knowledge, and stigma were identified as socio-cultural factors influencing a woman’s decision to seek cervical cancer screening in disadvantaged communities in Cape Town, South Africa. [39] In addition, a study in Cusco, Peru linked underlying determinants such as fear, embarrassment, community conversations about cervical cancer, willingness to talk about cervical cancer, and gender dynamics, including spousal support, to health communications preferences. They found that cultural misconceptions and male perspectives were significant factors predicting screening uptake with an overwhelming need for interventions addressing sociocultural influences in order to address the underlying root causes. [40] These findings suggest that behavior interventions aimed at increasing the uptake of cervical cancer screening services should utilize strategies that go beyond simple health communication and education. In fact, one study examining factors related to breast and cervical cancer screening uptake among Cambodian and Thai women in Southern California identified similar structural barriers that these women were, in large part, unable to overcome such barriers without the assistance of a community navigator. [41] While it is critical to address knowledge gaps, our challenge will be to concurrently address underlying social determinants of cervical cancer screening uptake through positive social influence.

Limitations

There were some limitations in the methodology used to recruit households within each site. It was assumed that every structure identified on the map was a household and it was thus, included in the count because specific household information was not provided. In reality, some structures were businesses, vacant, or not present. When encountering this scenario, we progressed to the next marked structure on the list. In addition, the satellite images used to create the maps on OpenStreetMaps may have been outdated. In some cases data collection was attempted separately from the recruitment and consent process. This may have resulted in the inability to collect data from some of the selected households due to the participant being away during the day(s) that the research assistant was present. Considerable effort was made to select communities that are representative of the immediate and surrounding districts and regions of rural Sénégal. However, our sample may not be generalizable to other areas of Sénégal or other countries in West Africa. In addition, we must use caution in interpreting these results given the low numbers of women within our study sample who have been screened for cervical cancer. We will follow the trend of these indicators over time as women are exposed to the peer education program.

Conclusions

The findings concerning social influences are valuable in illustrating the importance of better understanding key social norms and the contexts in which they are found or implicated. Our findings illustrate the critical need, as well, to recognize gender differences concerning social influences within the same context. By detailing the potential negative social influences that can directly act as or contribute to barriers to healthcare services utilization, community outreach activities including social and behavior change communication strategies aimed at these factors can help to overcome existing challenges in cervical cancer prevention and control. Furthermore, the development of innovative interventions such as patient navigation programs that incorporate or leverage positive social influences may prove useful in optimizing health services uptake such as HPV vaccination and cervical cancer screening earlier and more effectively.

Our study also illustrates that gender norms should be routinely considered in efforts aimed at improving uptake of cervical cancer health services in the rural region of Kédougou, Sénégal. In this vein, women’s likelihood of being more susceptible to some types of everyday discrimination should guide discrete and sensitive interventions at the health service level as well as within the community setting. Women’s greater likelihood of harboring personal stigma and being susceptible to perceptions of perceived stigmas should be openly and proactively addressed through the identification and interruption of negative social influences while positive social influences aimed at overcoming these sensitive challenges should be fully leveraged. Likewise, attitudes and opinions that indicate that men currently maintain a considerable role in the healthcare utilization process should be emphasized in the short term and coupled with parallel activities that seek to empower women in the long-term. Men’s role in advancing education and healthy healthcare decision making through positive social influence should be leveraged alongside efforts focused on women.

The differences observed in the analysis exploring the effect of education on gender perceptions illustrate that some gender differences may be attenuated with more knowledge and advancement through formal education. However, it is important to recognize the underlying social fabric in this rural region as the immediate context in seeking the goal of increased health service uptake for cervical cancer screening services here. The reality of this somewhat isolated and underdeveloped region is that social determinants such as gender impact efforts aimed to improve cervical cancer prevention and control in the region. It is critical, of course, to consider a human rights approach and address underlying social determinants through a long-term vision. However, the reality of uniformly advancing education and addressing existing cultural influences that result in social norms that are considered problematic to achieving health equity is daunting. Therefore, efforts to advance the goal of the elimination of cervical cancer should, in the short-term, seek to gain a more profound understanding of the ways that gender, language, and other social determinants impact immediate barriers addressable through interventions. Social and behavior change communication coupled with a community-based patient navigation program may be one approach that can focus both on education while seeking to leverage the social influences that exist in achieving immediate and long-term goals.

Supporting information

S1 Data

(CSV)

S1 File

(PDF)

S2 File

(RMD)

S1 Questionnaire

(DOCX)

S2 Questionnaire

(DOCX)

S1 Table

(DOC)

S2 Table

(DOC)

S3 Table

(DOC)

S4 Table

(DOC)

S5 Table

(DOC)

S6 Table

(DOC)

Acknowledgments

The authors would like to acknowledge and thank the following individuals including all officials at the Kedougou regional level including Cheikh Senghor MD and Dr. David Ngom MD. We are also grateful to other health system personnel at the Kedougou district: Fatoumata Traore, Moussa Ndiaye MD, Marguerite Thiare, Bakary Boubou Traore, the Saraya District: Evrard Kabou MD, Daouda Gueye, and the Salemata District: Mamadou Moustapha Thioub. We are also extraordinarily indebted to the local research assistants who ensured that all of the work was accomplished. These amazing individuals include Hawa Diallo, Fatoumata Dia, Dib Faye, Tahibou Niang, Lamine Doucare, Moussa Salife Didibe, and Moussoucouta Samoura. We are also very grateful to the Peace Corps administrators and volunteers who have provided in-kind support for this project over the years. These extraordinary individuals include Chris Hedrick, Cheryl Faye, Mamadou Diaw, Vanessa Dickey, Maureen Cunningham, Adji Thiaw, Imane Sene, Pape Camara, Chris Brown, Leah Moriarty, Meera Sarathy, Marielle Goyette, Larocha LaRiviere, Chip Ko, Ivy Renfro, Annē Linn, Patrick Linn, Katie Wallner, Chris Coox, Sarah Mollenkopf, Aaron Persing, Tess Komarek, Laurie Ohlstein, Emily Johnson, Arielle Kempinsky, Lesa Young, Carmen Dibaya, Maria Castrillon, Ethan Quinn, Gracey McGrory, Aaron Macoubray, Sherry Vazhayil, Ashley Prettyman, Hans-Martin Ishida, Brendan Gray, Elizabeth Costello, Emma Murphy, Cason Kirby, Emma Luu Van Lang, and Gina Siedow. In addition, we are grateful for those who have provided in-kind support from the University of Illinois at Chicago for this project. Many thanks to John Hickner MD, Memoona Hasnain MD MHPE PhD, Stevan Weine MD, Marc Atkins PhD, Michael Berbauma PhD as well as those who have supported the grant management at the Institute of Health Policy and Research including Julieth Pineros, Erika Magallenos, Rocio Bueno, and Przemyslaw Racinski among many others. We are also grateful to David Peters MD DrPH for mentorship in the development of this project.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

Research reported in this publication was supported by the Fogarty International Center of the National Institutes of Health under Award Number K01TW010494 to JAD. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Decision Letter 0

Mellissa H Withers

19 Feb 2020

PONE-D-20-01502

Role of gender in perspectives of discrimination, stigma, and attitudes relative to cervical cancer in rural Sénégal

PLOS ONE

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1. Please include additional information regarding the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. For instance, if you developed a questionnaire as part of this study and it is not under a copyright more restrictive than CC-BY, please include a copy, in both the original language and English, as Supporting Information.

2. We note that your report two different date ranges for the present study (either Oct 2018-Jan 2019 or Dec 2018-Feb 2019). Please include in your Methods section the exact date ranges over which you recruited participants to this study.

3. We note you have included a table to which you do not refer in the text of your manuscript. Please ensure that you refer to Table 6 in your text; if accepted, production will need this reference to link the reader to the Table.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Abstract

With some copy-editing and focus on the key points, the abstract can be considerably shortened. An example is the sentence: “Furthermore, men are more likely than women to say that they have the final say at home….while women are more likely than men to state that their spouse has the final say..” This can be reworked into something more straightforward, such as “Men and women were both more likely to state that men have the final decision around the home..”

Introduction

Second sentence: what does fatal mean in this case? Usually, cancer statistics are given in terms of 5 or 10 year survival or fatality.

Can you provide the reader with more of a sense of screening availability In Senegal? Although gendered attitudes likely do play a big role, if screening is not available or accessible, that will likely play the biggest role in limiting coverage.

Methods

How was your sampling plan and methodology determined? Did you calculate a sample size? Given the small number of women screening, would you have enough of a sample size to determine differences associated with screening?

Results

First paragraph: In the sentence about married, what does “51.5% of participants were in a polygamous household as related to significant gender differences in marital status” mean?

Much of the data presented in tables is repeated in the text. It would make the paper more readable and allow the authors to highlight the key findings if they referred readers to the table, rather than repeating all of the information in both places.

In the “Education Effect on Gender Perceptions”, third sentence, can you clarify what you mean by “we identified statistically significant findings for a woman’s role as caretaker (p<0.001), etc.

Much of the subsequent paragraph in this section is a list of significant findings—I think these should all go into a table with a summary or highlight of important points in the text.

Discussion

Generally, the discussion should start with a summary paragraph of the main findings of your study, followed by a deeper dive into how specific results fit into the overall scientific field, and why they may or may not support existing evidence. This discussion section starts with a repeat of the specific findings, which lacks a summative component. I think the paper would be strengthened with a section that brings together the main findings with some synthesis.

Reviewer #2: Overall comments:

- The subject matter of this paper is very timely and a necessary contribution to the literature on cervical cancer prevention in LMICs.

- The paper was very well written and organized with relevant and up-to-date citations.

INTRODUCTION:

1) There is one sentence at the end of the first paragraph that could use some tweaking for clarity:

"Cervical cancer is an important indicator of larger health system problems, including poor access and the lack of culturally competent communication..."

I understand the point the authors are trying to make here but the way it reads could potentially be misconstrued to those that are not as well versed in the literature. Perhaps including words like "The high incidence and mortality of cervical cancer is an important indicator...

Additionally, it would be helpful to add poor access "to care and screening" to identify the specific access issues in the context of cervical cancer disparities.

METHODS:

1) Do the authors have the numbers for the response rate? It would be good for other researchers attempting this sampling strategy to be aware of the realities of obtaining survey responses through this approach and ways to improved if necessary.

2) Data analysis - did the authors give any thought to looking at regional differences (i.e. urban vs rural) or other breakdowns of the regions with gender differences and cancer attitudes? Sometimes attitudes may vary by urban and rural communities particularly when access to screening is more accessible in urban areas.

RESULTS:

1) The sample size is small for recruitment in 9 different districts. Is there a breakdown of respondents by area or do we assume that the language stratification implies area differences? Some clarification here would be helpful.

DISCUSSION:

1) Screening behavior - the 2nd paragraph of this section gives some discussion on the percentage of women that believe cancer was personal fault and the authors suggest that there may be some issues with how the question was interpreted. Was the question field tested prior to the start of the study? Could it be that the cancer stigma questions did not specify a specific cancer and therefore were answered in the context of cervical cancer only?

2) Last sentence, " ..."prevent cervical cancer through EARLY screening..." perhaps it would be more straightforward to omit the word "early" since ongoing screening is necessary throughout a woman's lifetime.

3) It is not clear what the authors mean by ensuring that attitudes and beliefs are prioritized. In other words, what is the situation in which attitudes and beliefs (positive or negative) are prioritized for cervical cancer screening?

4) It is also important to include and address cancer stigma, especially for cervical cancer and HPV.

5) I did not see where discussion of the findings from this study were linked back to existing literature to draw similarities or differences with other similar works.

CONCLUSION:

1) Sound conclusions and thoughtful approaches for next steps.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

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Reviewer #1: No

Reviewer #2: No

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PLoS One. 2020 Apr 28;15(4):e0232291. doi: 10.1371/journal.pone.0232291.r002

Author response to Decision Letter 0


24 Mar 2020

We are extraordinarily grateful for the reviewer and editorial effort taken to provide us with these very thoughtful comments and suggestions on ways to improve this manuscript. We have taken the time to appropriately revise our manuscript and reply in line to reviewer comments below.

1. Please include additional information regarding the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. For instance, if you developed a questionnaire as part of this study and it is not under a copyright more restrictive than CC-BY, please include a copy, in both the original language and English, as Supporting Information.

Response: We have included the French and English copies of the questionnaire as Supporting Information.

2. We note that your report two different date ranges for the present study (either Oct 2018-Jan 2019 or Dec 2018-Feb 2019). Please include in your Methods section the exact date ranges over which you recruited participants to this study.

Response: Thank you for catching this error. We have specified that the date range for data collection was from October 2018 – February 2019. This has been specified in the Methods section and corrected in the abstract and results.

3. We note you have included a table to which you do not refer in the text of your manuscript. Please ensure that you refer to Table 6 in your text; if accepted, production will need this reference to link the reader to the Table.

Response: The reference to Table 6 has been included in the text.

4. While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step.

Response: This task has been completed.

Reviewer Comments:

Reviewer #1: Abstract

R1.01 With some copy-editing and focus on the key points, the abstract can be considerably shortened. An example is the sentence: “Furthermore, men are more likely than women to say that they have the final say at home….while women are more likely than men to state that their spouse has the final say..” This can be reworked into something more straightforward, such as “Men and women were both more likely to state that men have the final decision around the home..”

Response: We have incorporated this editorial suggestion. The sentence now reads:

“Furthermore, men and women were both more likely to state that men have the final decision the healthcare decisions of women (p < 0.001).”

Introduction

R1.02 Second sentence: what does fatal mean in this case? Usually, cancer statistics are given in terms of 5 or 10 year survival or fatality.

Response: We have revised this sentence with the inclusion of the following… “with 1,367 deaths resulting in a age-standardized mortality rate of 29.1 compared to 6.9 globally.”

R1.03 Can you provide the reader with more of a sense of screening availability In Senegal? Although gendered attitudes likely do play a big role, if screening is not available or accessible, that will likely play the biggest role in limiting coverage.

Response: We have clarified that cervical cancer screening remains inaccessible throughout much of rural Senegal but has been available in the region of the study since 2014. We added a citation to reinforce this. The added sentence reads as:

“Cervical cancer screening remains unavailable in many rural areas of Senegal but has been accessible throughout the Kédougou region of Sénégal since 2014 through the efforts of an ongoing partnership.[7]”

Methods

R1.04 How was your sampling plan and methodology determined? Did you calculate a sample size? Given the small number of women screening, would you have enough of a sample size to determine differences associated with screening?

Response: The target sample size of 225 (135 women and 90 men) was determined based on the need to have a heterogeneous sample across language and district. Our sample was not adequately powered to detect differences between the two groups (screened and unscreened women).

Results

R1.05 First paragraph: In the sentence about married, what does “51.5% of participants were in a polygamous household as related to significant gender differences in marital status” mean?

Response: Thank you for identifying this poorly worded phrase. We have truncated the phrase to create a clear sentence. “…51.5% of participants were in a polygamous household”

R1.06 Much of the data presented in tables is repeated in the text. It would make the paper more readable and allow the authors to highlight the key findings if they referred readers to the table, rather than repeating all of the information in both places.

Response: The authors chose to highlight the significant findings within the text. While this does result in some repetition of information between the tables and the text, our opinion is that it aids the reader in more readily interpreting the essential findings by walking her or him through data. By identifying the significant findings it draws the reader’s attention to the key elements that are further contextualized within the discussion and conclusion.

R1.07 In the “Education Effect on Gender Perceptions”, third sentence, can you clarify what you mean by “we identified statistically significant findings for a woman’s role as caretaker (p<0.001), etc.

Response: Thank you for bringing attention to this unclear statement. We have reworded this as… “Through this analysis, we identified statistically significant findings for education level relative to perceptions of a woman’s role as caretaker…”

R1.08 Much of the subsequent paragraph in this section is a list of significant findings—I think these should all go into a table with a summary or highlight of important points in the text.

Response: We have clarified that these findings are reported in a table provided in Supplement 2.

Discussion

R1.09 Generally, the discussion should start with a summary paragraph of the main findings of your study, followed by a deeper dive into how specific results fit into the overall scientific field, and why they may or may not support existing evidence. This discussion section starts with a repeat of the specific findings, which lacks a summative component. I think the paper would be strengthened with a section that brings together the main findings with some synthesis.

Response: We have strengthened the Discussion section with an initial brief summary of key findings with a transition into the following paragraphs to provide more detailed interpretation.

Reviewer #2:

- The subject matter of this paper is very timely and a necessary contribution to the literature on cervical cancer prevention in LMICs.

- The paper was very well written and organized with relevant and up-to-date citations.

INTRODUCTION:

R2.01 There is one sentence at the end of the first paragraph that could use some tweaking for clarity:

"Cervical cancer is an important indicator of larger health system problems, including poor access and the lack of culturally competent communication..."

I understand the point the authors are trying to make here but the way it reads could potentially be misconstrued to those that are not as well versed in the literature. Perhaps including words like "The high incidence and mortality of cervical cancer is an important indicator...

Additionally, it would be helpful to add poor access "to care and screening" to identify the specific access issues in the context of cervical cancer disparities.

Response: Thank you for this suggestion. These changes have been made.

METHODS:

R2.02 Do the authors have the numbers for the response rate? It would be good for other researchers attempting this sampling strategy to be aware of the realities of obtaining survey responses through this approach and ways to improve if necessary.

Response: We have clarified the response rate with the following statement… “Our enrollment goal was 225 (135 women and 90 men). With 158 participants (101 women and 57 men), we achieved a functional response rate of 70.2%. The response rate for women was appreciably higher than for men (74.8% and 63.3%, respectively).”

R2.03 Data analysis - did the authors give any thought to looking at regional differences (i.e. urban vs rural) or other breakdowns of the regions with gender differences and cancer attitudes? Sometimes attitudes may vary by urban and rural communities particularly when access to screening is more accessible in urban areas.

Response: For this initial analysis, we did not explore regional differences. However, these baseline data will be combined with longitudinal data upon completion of a trial evaluating a peer education intervention. At that time, we plan to complete a multi-level evaluation which will take this consideration into account.

RESULTS:

R2.04 The sample size is small for recruitment in 9 different districts. Is there a breakdown of respondents by area or do we assume that the language stratification implies area differences? Some clarification here would be helpful.

Response: Thank you for this suggestion. We recruited participants across three sites from each of three districts. We have now revised Table 1 to report the participation across these sites.

DISCUSSION:

R2.05 Screening behavior - the 2nd paragraph of this section gives some discussion on the percentage of women that believe cancer was personal fault and the authors suggest that there may be some issues with how the question was interpreted. Was the question field tested prior to the start of the study? Could it be that the cancer stigma questions did not specify a specific cancer and therefore were answered in the context of cervical cancer only?

Response: Thank you for raising this point. We have edited the text to incorporate these points. The text now reads…

“Interestingly, screened women tended to strongly agree that a diagnosis of cancer is the fault of the person. Even though all questions were field tested, this may indicate confusion underlying the premise of the question. It is not possible to know if the women who responded in this way have responded specific to the context of cervical cancer and are indicating that they feel that screening is a way to prevent this illness, and, therefore, it is the responsibility of the individual to seek this service.”

R2.06 Last sentence, " ..."prevent cervical cancer through EARLY screening..." perhaps it would be more straightforward to omit the word "early" since ongoing screening is necessary throughout a woman's lifetime.

It is not clear what the authors mean by ensuring that attitudes and beliefs are prioritized. In other words, what is the situation in which attitudes and beliefs (positive or negative) are prioritized for cervical cancer screening?

It is also important to include and address cancer stigma, especially for cervical cancer and HPV.

Response: These are appreciated points. We have revised accordingly. The sentence now reads:

“This significant finding illustrates the importance of ensuring that women feel empowered to prevent cervical cancer through screening by ensuring that stigma, attitudes, and beliefs are prioritized through outreach efforts aimed at uptake.”

R2.07 I did not see where discussion of the findings from this study were linked back to existing literature to draw similarities or differences with other similar works.

Response: We have added a paragraph at the end of the discussion section that links our findings back to the existing literature. This has strengthened our manuscript as it now better introduces the major themes covered in the conclusion. Thank you for this suggestion.

CONCLUSION:

- Sound conclusions and thoughtful approaches for next steps.

The contact information for the corresponding author is as follows:

J Andrew Dykens

jdykens@uic.edu

The authors are very grateful to the reviewers for their thoughtful feedback. We believe that the manuscript is much stronger after these revisions. Many thanks for your guidance and consideration.

Thank you for receiving our manuscript and considering it for publication. We appreciate your time and look forward to your response.

Sincerely,

Andrew Dykens, MD, MPH

Associate Professor of Family Medicine, University of Illinois at Chicago

Director, Global Health Systems, UIC Center for Global Health

Decision Letter 1

Mellissa H Withers

13 Apr 2020

Role of gender in perspectives of discrimination, stigma, and attitudes relative to cervical cancer in rural Sénégal

PONE-D-20-01502R1

Dear Dr. Dykens,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

With kind regards,

Mellissa H Withers, PhD, MHS

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Acceptance letter

Mellissa H Withers

17 Apr 2020

PONE-D-20-01502R1

Role of gender in perspectives of discrimination, stigma, and attitudes relative to cervical cancer in rural Sénégal

Dear Dr. Dykens:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Mellissa H Withers

Academic Editor

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