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Intention to Screen for Cervical Cancer Among Child Bearing Age Women in Bahir Dar City, North-West Ethiopia: Using Theory of Planned Behavior

Authors Alemnew W, Debalkie G, Azale T

Received 21 August 2020

Accepted for publication 25 November 2020

Published 17 December 2020 Volume 2020:12 Pages 1215—1222

DOI https://doi.org/10.2147/IJWH.S277441

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Elie Al-Chaer

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Wallelign Alemnew, Getu Debalkie, Telake Azale

Department of Health Education & Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

Correspondence: Wallelign Alemnew Tel +251 942 33 16 08
Email [email protected]

Background: Cervical cancer screening is consistently effective in reducing the incidence and mortality rates associated with cervical cancer. However, very few women have received cervical cancer screening in the developing countries including Ethiopia. Therefore, this study aims to assess cervical cancer screening intention and its predictors among child bearing age women in Bahir Dar city, North-West Ethiopia.
Methods: A community-based cross-sectional study was conducted among 832 child bearing age women using a multistage sampling technique between March and April, 2018. Data were collected using a structured questionnaire through face-to-face interviews. Data were entered and analyzed using EpiData and SPSS version 20.0, respectively. Simple and multiple linear regression analyses were done to identify predictors of intention, and P< 0.05 was used as a cutoff to determine statistical significance at multiple regressions.
Results: Eight hundred and thirty-two (98%) respondents participated in this study. The mean age of the participants was 31±SD 7.23 years, ranging from 18– 49 years. The majority (61.4%) of the participants were married. The mean score of intention to receive cervical cancer screening was 10.5± 2.03, with a minimum and maximum sore of 5 and 15, respectively. Four hundred and fifty-eight (55%) (95% CI=51.7– 58.3) respondents scored above the mean score. Direct perceived behavioral control (β=0.19, P< 0.001), direct subjective norm (β=0.06, P< 0.001), direct attitude (β=0.15, P< 0.001), and past screening experience (β=0.64, P< 0.001) were found to be significant predictors of intention.
Conclusion: Perceived behavioral control, attitude towards the behavior, subjective norm, and past screening experience were the predictors of intention, and perceived behavioral control was the strongest predictor. Hence, behavioral change communication interventions are crucial to change their attitude and empower them to evaluate their control and normative beliefs.

Keywords: cervical cancer, human papilloma virus, theory of planned behavior, Ethiopia

Introduction

Cervical cancer is a type of cancer which is found in the lower reproductive system of females, and is caused by human papilloma virus. Seventy percent (70%) of all cervical cancer cases throughout the world are caused by only two types of human papillomavirus (HPV); HPV-16 and HPV-18.1,2 Nearlyall sexually active individuals will be infected with HPV once in their lives, and some may be infected frequently.2 Worldwide, around 528,000 new cases were diagnosed, and over 280,000 women died from cervical cancer. Among these, around 90% of new cases and deaths occur in the developing world, including Sub-Saharan Africa.3–5 Especially Eastern African countries still have a high incidence and mortality.6,7 Evidence shows that, in Ethiopia, 29.43 million women aged 15 and older are at risk of developing cervical cancer. Current estimates indicate that every year 7,095 women are diagnosed with cervical cancer, and 4,732 die from the disease per year.8 Cervical cancer ranks as the second most frequent cancer among women in Ethiopia and the leading cause of cancer related deaths.9 Studies revealed that the age-adjusted incidence rate of cervical cancer in Ethiopia is 35.9 per 100,000 patients, with 7,619 new cases and 6,081 deaths every year.10 The distribution of the problem across different regions in Ethiopia between 1997–2012 was 32.98%, 30.15%, and 19.72% in Addis Ababa, Oromia, and Amhara, respectively.11,12 Cervical cancer can be prevented by an effective cervical cancer screening test, ie, detecting precursors before a woman develops any signs and symptoms, and it makes it easy to treat or cure if the cancer is found timely.13–15 Studies show that only 5% of women from the developing world receive cervical cancer screening,6,16 which is very low compared to the 84% in the developed world.17 Although receiving the screening test plays an important role in preventing cervical cancer, only 1.6% and 0.4% of women received the screening service in urban and rural Ethiopia, respectively.18 According to the theory of planned behavior, behavioral intention is the best predictor of a certain behavior which is determined by attitude towards the behavior, subjective norms associated with the behavior, and perceived behavioral control over the behavior.19 Currently there is a dearth of research on cervical cancer screening intention and its predictors among child bearing age women in the study area using behavioral models, ie, theory of planned behavior. Therefore, the aim of this study is to assess intention and its predictors among child bearing age women in Bahir Dar city, North West Ethiopia.

Methods

Study Design and Setting

A community-based cross-sectional study design was conducted from March to April, 2018. The study was conducted in Bahir Dar city administration, the capital city of Amhara National Regional State. The city is elevated 1,840 m above sea level and located in North West Ethiopia, 565 km from Addis Ababa, the capital of Ethiopia. Bahir Dar has nine administrative sub cities, which contains 17 Kebeles. According to Bahir Dar city administration health office, the estimated total population was 549,429 by 2017, and the estimated number of reproductive age women was 164,829, which accounts for 30% of the total population. Concerning the health infrastructure, the city has two government-owned hospitals and ten health centers. In addition, the town has two private hospitals, seven higher clinics, ten medium clinics, five special junior clinics, and three NGO clinics.

Source and Study Population

Women whose age ranging from 18–49 years were the source population for this study and women who had the chance of being randomly selected from the source population at a household level were the study population.

Inclusion and Exclusion Criteria

Women who were living in the study area for at least 6 months and aged 18–49 years were included, whereas women who were already screened and diagnosed for cervical cancer and who have had total hysterectomy were excluded in the study.

Sample Size Determination and Sampling Procedure

The sample size was calculated using a single population proportion formula considering (P=0.5) 95% confidence interval, 5% margin of error, and 10% for non-response during data collection and design effect=2. Hence, the final sample size was 845. Multistage sampling technique was used to select the study participants. In the first step three sub-cities (30% of the total area) were randomly selected from among nine sub-cities by using lottery method. Then a total of 845 households were selected using a systematic random sampling method. In this process samples were proportionally allocated to each of the selected sub-cities. To calculate the sampling fraction, total numbers of households were obtained from the respective administrative bodies. The initial interviewed household was randomly selected by lottery method, and the next were selected by every Kth house which is every “16th”. When two or more individuals who fulfilled the inclusion criteria were found, only one individual who fulfilled the inclusion criteria was interviewed from the household in which lottery method was applied.

Data Collection and Analysis

The questionnaire was adapted from different reviewed literature13,20,21,22,23 and modified based on the results of the elicitation study. It was developed in English and translated into the local language “Amharic”. Data were collected using a pretested and structured questionnaire through face-to-face interview with data collectors. Six female diploma nurses were trained for 1 day and each assigned for data collection, and one BSc Nurse participated in the training as a supervisor. The training included the objectives of the study, data collection techniques, contents of the questionnaire, procedures, and issues related to confidentiality. EpiData version 3.02.4 and Statistical Package for Social Sciences (SPSS) version 20.0 were used for data entry and analysis, respectively. Simple and multiple linear regression analyses were done to identify predictors of intention for cervical cancer screening.

Measurements and Scoring

A total of 12 items were used to measure the direct constructs of the TPB. Direct attitude; overall evaluation of cervical cancer screening as being positive or negative. It was measured using four semantic scale type items with five scales, a reliability test of ά=0.67. Higher score indicates stronger attitude towards receiving cervical cancer screening. Direct subjective norm; perception of the social pressure to receive cervical cancer screening service or not. It was assessed using four Likert type items having a reliability test of ά=0.75, for example “Most people who are important to me will think that I should receive cervical cancer screening”, and a higher score indicates subjective norms encouraging undergoing cervical cancer screening. Direct perceived behavioral control; the perceived ability of an individual to control factors which influences cervical cancer screening. It was assessed using four semantic scale type items having a reliability of ά=0.70, for example, “it is difficult for me to receive cervical cancer screening”, and a higher score indicated controlling more perceived behavior to undergo cervical cancer screening. Similarly, indirect TPB model variables were measured by Likert type items having five scales (ie, (strongly disagree, agree, neutral, agree, and strongly agree). And the values were calculated by using the product sum of the respective construct. Indirect attitude; is composed of behavioral belief, ie, one’s belief about the likely outcome of uptaking cervical cancer screening, and outcome evaluation, ie, one’s judgmental evaluation of the outcome of the behavior. It was measured by 14 Likert type items, seven items from behavioral belief and seven from outcome evaluation. Indirect subjective norm; It is a combination of normative belief, ie, one’s belief about what significant others think that he/she should or should not uptake cervical cancer screening or behavior in question and one’s readiness to perform the behavior on the way of what significant others want him/her to do. It was measured using eight Likert type items, four items from normative belief, and four from motivation to comply. Indirect perceived behavioral control; also a combination of once control belief, ie, belief about the facilitators/barriers to cervical cancer screening uptake and power to control those control beliefs. Finally it was measured using 10 Likert type items, five items from control belief and five from power of control. Intention was assessed using three Likert type items with a reliability test of Cronbach’s alpha (ά=0.88). Eleven composite score of knowledge items were used to measure the level of knowledge of the respondents regarding vulnerable groups, risk factors, signs and symptoms, and prevention methods of cervical cancer. For each knowledge, item scores were summed up to get over all knowledge scores, individuals correctly answered the item given a value of “1” and for those answered incorrectly valued ”0”, and then mean and standard deviation were calculated (Table 1).

Table 1 Summary of Direct and Indirect Measures of Theory of Planned Behavior Variables

Results

Sociodemographic Characteristics

A total of 832 respondents participated in this study, making a response rate of 98%. The participants’ ages ranged from 18–48 years. The mean age of the study participants was 31.39 years with a standard deviation of ±7.23. Most of the respondents were Amhara (787, 94.6%), married (511, 61.4%), and Orthodox Christian (671, 80.6%). The majority of the respondents (308, 25.5%) were private employees, whereas 212 (24.4%) were government employees (Table 2).

Table 2 Sociodemographic Characteristics Results of Child Bearing Age Women in Bahirdar City, 2018

Past Cervical Cancer Screening Experience and Knowledge of the Respondents Regarding Cervical Cancer Screening

Of all the respondents, only 120 (14.4%) of them had been screened for cervical cancer before the survey. Some of the reasons mentioned by the respondents why they did not receive the screening service included fear of pain (38%), feeling embarrassed from the procedure (35%), fears of a positive screening result (40.6%), cost of the service (63.5%), and being busy with social activities (54%). The knowledge of participants about cervical cancer screening was estimated using mean score. Hence, the mean and standard deviation of knowledge score was 4.43±1.99, and 60.6% of the respondents scored above the mean score.

Magnitude of Intention

In this study, more than half of the respondents (458, 55%; 95% CI=51.7–58.3) scored above the mean score. The actual minimum and maximum scores were 5 and 15, respectively. The mean intention score was 10.5±2.03.

Pearson Correlation Analysis of Direct and Indirect Determinants of TPB

There was a positive correlation between direct attitude with indirect attitude (r=0.51), direct subjective norm with indirect subjective norm (r=0.61), and direct perceived behavioral control with indirect perceived behavioral control (r=0.20) (Table 3).

Table 3 Correlation Analysis of Direct and Indirect Constructs of Theory of Planned Behavior

Simple and Multiple Linear Regression Analysis

Simple linear regression analysis was done to assess the association between all independent variables with intention after checking normality. All variables at a P-value less than 0.20 in simple linear regression were fitted to multiple linear regressions and identified the independent predictor of intention. Unstandardized coefficients and R2 values were used to interpret the effects and variability in the dependent variable, respectively. A significant independent predictor was declared at 95% confidence interval and a P-value less than 0.05 (Table 4)

Table 4 Multiple Linear Regression Analysis Result on Cervical Cancer Screening Intention Among Childbearing Age Women in Bahirdar City, 2018

Discussion

The study examined the utility of TPB in predicting cervical cancer screening intention among child bearing age women in Bahir Dar city, North West Ethiopia. We used a linear regression analysis model to identify the predictors of cervical cancer screening intention. Using this model in this study has numerous advantageous or importances including; it shows the strength of the association between the outcome (dependent variable) and predictor (independent), used to identify the strongest variable (predictor) and helps in analyzing the extent of change in the independent variable by one “unit” would affect the dependent variable. On the other hand the model has its own limitations like not informative for policy-makers or decision-makers.24,25

In this study, direct perceived behavioral control, direct attitude, direct subjective norm, and past screening experience were the predictors of intention to receive cervical cancer screening among child bearing age women.

Direct perceived behavioral control was the strongest predictor of intention to receive cervical cancer screening. The finding is supported with studies conducted in southern Ethiopia and Latin-American using Theory of Planned Behavior which found that perceived behavioral control was positively strongly associated with intention to be screened for cervical cancer screening.26,27 However, perceived behavioral control was the least predictor in a study conducted in Jimma, Ethiopia.28 The difference may be due to the context where the study was conducted. This suggests that, considering those control factors are crucial in supporting women to receive cervical cancer screening. Women, who are able to control fear of pain during the procedure; feeling embarrassed and fear of being tested positive lead to increase their intention to screening. This is supported with Ajzen’s theoretical assumptions which mean that the more individuals have a high degree of control over factors that facilitate or prevent them to receive cervical cancer screening; the greater will be their intention to receive cervical cancer screening.29

In this study direct attitude was the second strongest important predictor of intention to receive cervical cancer screening. The finding is in line with a study conducted in Amhara region, Ethiopia8 and a study conducted in western Iran which investigated that attitude was a predictor of intention for cervical cancer screening.30 This indicates that targeted IEC/BCC should be conducted to create favorable attitude towards cervical cancer screening. Those women who believe that receiving cervical cancer screening helps to detect the cancerous lesion at early stage and also helps to treat and cure the cancer at early stage were more likely to have had a favorable attitude and then more intended to receive cervical cancer screening.

The study also found that the subjective norm was the least significantly influenced cervical cancer screening intention. This finding is supported with research conducted in Singaporean women using the Theory of Planned Behavior, which found a high level of subjective norm significantly predicting cervical cancer screening intention.31 However, another study conducted in southern Ethiopia revealed that subjective norm was the second best predictor next to perceived behavioral control with intention to cervical cancer screening.27 The difference could be attributed to the context or the place/region where the behavior is performed and the study was conducted. This implies that significant others/families, friends, relatives, and health professionals have a power to influence women's decision. Hence, interventions should focus on both the targeted population and significant others, those who have a power to influence others decisions, such as family members, friends, relatives, and healthcare providers as a whole to improve cervical cancer screening utilization.

Past cervical cancer screening experiences were another significant variable. Women having past cervical cancer screening experience were more intended to receive cervical cancer screening than those who had no previous experience. This finding was supported by research conducted in Latin-America19,26

Conclusion

In this study, attitude, subjective norm, perceived behavioral control, and past cervical cancer screening experience were the predictors of intention to receive cervical cancer screening service. Behavioral change communication interventions are important to change the women's attitude and empowerthem to evaluate their control and normative beliefs. Finally, this study has its own limitation that did not account for the actual behavior to be predicted based on the theory of planned behavior constructs which may show how much behavioral intention could be transformed into the actual behavior.

Recommendation

A longitudinal study which incorporates screening behavior should be considered in the future to see how the behavioral intention transformed into the actual behavior.

Abbreviations

HPV, Human Papilloma Virus; TPB, Theory of Planned Behavior; WHO, World Health Organization; DA, Direct Attitude; DSN, Direct Subjective Norm; DPBC, Direct Perceived Behavioral Control; IN, Intention; IA, Indirect Attitude; ISN, Indirect Subjective Norm; IPBC, Indirect Perceived Behavioral Control; NGO, Non-Governmental Organization.

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics and Consent

Ethical clearance was obtained from Ethical Review Committee of Institute of Public Health, Collage of Medicine and Health Sciences, University of Gondar. All the study participants were fully informed about the purpose of the study, their right to refuse, assurance of confidentiality and privacy during interview. Informed, voluntary and written consent was obtained from each participant before data collection. Strict confidentiality was maintained through anonymous recording and coding of questionnaire.

Consent for Publication

Not applicable.

Acknowledgment

We would like to thank the academic staff of the Department of Health Education and Behavioral Science, Institute of Public Health, University of Gondar for their generosity, support, and cooperation. Finally, we would like to acknowledge the data collectors, supervisors, and participants for their unreserved cooperation.

Author Contributions

All authors made substantial contributions to the conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

Funding

The study was funded for academic purpose by grants from University of Gondar, College of Medicine and Health Sciences, Institute of public Health. The funders had no impact on design, collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

Disclosure

The authors declare that they have no conflicts of interest.

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