Original research: Usage of cervical cancer screening services among HIV-positive women in Southern Ethiopia: a multicentre cross-sectional study (2024)

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Original research: Usage of cervical cancer screening services among HIV-positive women in Southern Ethiopia: a multicentre cross-sectional study (1)

Link to Publisher's site

BMJ Open. 2023; 13(7): e068253.

Published online 2023 Jul 27. doi:10.1136/bmjopen-2022-068253

PMCID: PMC10387616

PMID: 37500275

Original research

Atnafwork Haile Mesfin,1 Zenawi Hagos Gufue,Original research: Usage of cervical cancer screening services among HIV-positive women in Southern Ethiopia: a multicentre cross-sectional study (2)2 Mihiretu Arba Alemayehu,3,4 Beimnet Desalegn Kedida,3 Birhan Legese,5 and Negeso Gebeyehu Gejo6

Author information Article notes Copyright and License information PMC Disclaimer

Associated Data

Supplementary Materials
Data Availability Statement

Abstract

Objectives

To assess the usage of cervical cancer screening services and associated factors among HIV-positive women on antiretroviral treatment in Southern Ethiopia in 2020.

Design

A multicentre cross-sectional study.

Setting

The study was conducted in Wolaita Sodo University Teaching Referral Hospital and Sodo Health Centre, Southern Ethiopia, from 1 July 2020 to 30 September 2020.

Participants

Four hundred and seventeen HIV-positive women on antiretroviral treatment attending public health facilities were approached during the study period. A multivariable binary logistic regression model was carried out to identify independent factors associated with the usage of cervical cancer screening services, and a p value<0.05 was used to declare statistical significance.

Results

The uptake of cervical cancer screening services among HIV-positive women was 27.8% with a 95% CI of 24.2% to 33.1%. Married women and women reporting a high level of perceived barriers were 75% and 66% less likely to receive cervical cancer screening services, adjusted OR (AOR)=0.25; 95% CI: 0.07 to 0.93, and AOR=0.34; 95% CI: 0.12 to 0.98, respectively. Whereas, being a government employee, AOR=3.85; 95% CI: 1.31 to 11.3, sexual debut before the age of 20, AOR=2.39; 95% CI: 1.09 to 5.26, using modern contraceptives, AOR=2.43; 95% CI: 1.05 to 5.65, having a high perceived self-efficacy, AOR=4.42; 95% CI: 1.79 to 10.89 and having a high perceived benefit of cervical cancer screening services, AOR=12.23; 95% CI: 2.22 to 67.35 were significantly associated with the usage of cervical cancer screening services.

Conclusions

The usage of cervical cancer screening services among HIV-positive women remains low in this setting. Married HIV-positive women and those with a high perceived barrier were associated with low uptake of cervical cancer screening services. Being a government employee, having an early sexual experience, using modern contraceptives, having a high perceived self-efficacy and having a high perceived benefit were identified as factors associated with increased uptake of cervical cancer screening services.

Keywords: COVID-19, gynaecological oncology, HIV & AIDS, stroke medicine, adult oncology, sexually transmitted disease

Strengths and limitations of this study

  • A valid and reliable data collection tool was used in a setting capable of providing cervical cancer screening and antiretroviral treatment.

  • We did not assess factors like the attitude of HIV-positive women towards cervical cancer screening services and viral load.

  • The study was also based on participant self-report through interviews, which might result in recall bias.

  • The perceived barrier construct of the health belief model we used focuses only on the cognitive domain, which may fail to identify other barriers.

Introduction

Globally, in 2020, cervical cancer was the fourth most commonly diagnosed cancer among women, with an estimated 604 000 new cases and 342 000 deaths. Around 84% of all cases and 88% of all deaths caused by cervical cancer occurred in less developed countries.1 Cervical cancer was the second most prevalent cancer but the leading cause of cancer-related deaths in Africa in 2018.2 It is estimated that by the end of 2025, about 78,879 women living in Africa will be diagnosed with cervical cancer annually, while 61,671 women will die from cervical cancer.3

In sub-Saharan Africa, cervical cancer is a major cause of morbidity and mortality, contributing to more than half of the global burden of cervical cancer. It accounts for 20.8% of all cancers in women and 14.2% of all cancer-related deaths in women.4 In sub-Saharan Africa, women living with HIV infection cover 60% of the 348 new cervical cancer cases per 1 million women annually.5 More than two-thirds of cervical cancer cases in sub-Saharan Africa are identified at a late stage, and mainly women have little access to information about cervical cancer and limited screening services. Late-stage disease is associated with low survival rates after surgery or radiotherapy. In addition, these treatment modalities may be lacking, too expensive, or not available for many women in low-resource countries, including Ethiopia.6

In Ethiopia, of all women’s cancers, cervical cancer has become the second leading cause of morbidity and mortality.6 Currently, in Ethiopia, there are 7095 women diagnosed with cervical cancer and 4732 who die from the disease every year.7 Ethiopia adopted cervical cancer prevention and control guidelines from the WHO and recommends women take up cervical cancer screening services at least every 5 years following negative results, irrespective of their HIV status, to achieve 80% coverage by 2020.8

According to the 2016 Ethiopian Demographic Health Survey report, the prevalence of HIV/AIDS among women aged 15–49 years was 1.2%. In Ethiopia, 534 000 women aged 15 and older are living with HIV/AIDS.9 HIV-positive women are among the most susceptible to cervical cancer since their risk of precancerous lesions is 10 times higher, they are more likely to develop invasive cervical cancer, and there is a twofold increase in the risk of death due to cervical cancer.10

In developing countries, HIV-positive women have a sixfold higher chance of being diagnosed with cervical cancer as compared with their HIV-negative counterparts, and this is highest across Southern and Eastern Africa.11 Elimination of cervical cancer as a public health problem is the strategic action developed by the WHO with 90-70-90 targets that must be met by 2030. This approach to eliminating cervical cancer acts throughout the natural history of the disease, that is, primary (90% vaccination), secondary (70% screening), and tertiary prevention (90% treatment).12

Cervical cancer is a potentially preventable and treatable form of cancer, so morbidity and mortality could be reduced with early detection and effective management.13 In Ethiopia currently, both arranged and opportunistic cervical cancer screening services are available, and many women are expected to benefit from the service, but cervical cancer screening service usage among HIV-positive women is much lower than the national recommended coverage of 80%.14–18

Despite the high level of magnitude and increased susceptibility of HIV-positive women to cervical cancer, the perception of cervical cancer and its screening practice among HIV-positive women have not yet been explored in detail in the Ethiopian set-up. Therefore, knowing behavioural factors affecting screening among susceptible populations, such as HIV-positive women, helps to take action toward bringing about a positive change in screening practice and controlling the morbidity and mortality of cervical cancer through educational intervention. But studies focusing on the perception of cervical cancer and screening among HIV-positive women are still limited in Ethiopia. Hence, this study was intended to fill the gap by assessing the magnitude and predictors of cervical cancer screening uptake among HIV-positive women based on the health belief model (HBM).

The factors that influence HIV-positive women’s behaviour to get screened must therefore be understood to maximise use and reach more susceptible women, including those who are HIV-positive. Therefore, this study aimed to assess the usage of cervical cancer screening services and associated factors among HIV-positive women on antiretroviral treatment (ART) in the public health facilities of Wolaita Sodo town, Southern Ethiopia, applying the HBM.

Materials and methods

Study area and period

The study was conducted in the public health facilities of Wolaita Sodo town, located 329 km SouthWest of Addis Ababa, the capital city of Ethiopia. According to the Wolaita zone health office report, in Wolaita Sodo town there is 1 teaching referral hospital, 1 non-governmental-owned general hospital, 3 health centres, and 34 private health institutions. The cervical cancer screening services are provided at the Wolaita Sodo University Teaching Referral Hospital (WSUTRH) and Sodo Health Centre. The study was conducted from 1 July 2020 to 30 September 2020.

Study design and participants

A multicentre cross-sectional study was conducted among systematically selected adult (≥18 years) HIV-positive women on ART in the public health facilities of Wolaita Sodo town, Southern Ethiopia. Critically ill adult HIV-positive women on ART were excluded from the study.

Sample size determination and sampling technique

The sample size was determined by applying a double population proportion formula using Epi Info V. 7.2.3.1 software, with the assumptions of a 95% confidence level, 80% power, and a 1:1 ratio of cervical cancer non-screened to screened HIV-positive women. The factor that provides the largest sample size was used to detect a statistically significant difference. Accordingly, women with perceived barriers were 90% less likely to use cervical cancer screening services, with an OR of 4.64.19 With these assumptions, the sample size was 386, and after adding a 10% non-response rate, the final sample size was 429.

The average number of HIV-positive women visiting adult ART clinics during the 3 months of data collection was estimated by considering the number of women visiting adult ART clinics in the past 3 months. A systematic sampling technique was used to recruit the study participants; accordingly, every second woman (870/429=2) was taken based on their order of arrival for follow-up service, and the first woman was selected by using a lottery method (online supplemental figure).

Supplementary data

bmjopen-2022-068253supp001.pdf

Variables

The outcome variable of interest was the usage of cervical cancer screening services, and the independent variables were socio-demographic factors, medical and reproductive characteristics, knowledge about cervical cancer and its screening, source of information about cervical cancer and its screening, cervical cancer screening practice and perception based on constructs of the HBM.

Operational definitions

Cervical cancer screening usage: When an HIV-positive woman self-reports that she was screened for cervical cancer within the past 5 years.20 21 Perceived susceptibility: There were five Likert scale items with a minimum score of 5 and a maximum score of 25. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ perceived susceptibility, respectively.20 21

Perceived barriers: There were 11 Likert scale items with a minimum score of 11 and a maximum score of 55. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ perceived barriers, respectively.20 21 Perceived benefit: There were 6 Likert scale items with a minimum score of 6 and a maximum score of 30. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ perceived benefits, respectively.20 21

Perceived severity: There were nine Likert scale items with a minimum score of 9 and a maximum score of 45. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ perceived severity, respectively.20 21 Perceived self-efficacy: There were four Likert scale items with a minimum score of 4 and a maximum score of 20. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ perceived self-efficacy, respectively.20 21

Cues to action: There were three ‘yes’ or ‘no’ questions with a minimum score of 3 and a maximum score of 6. Those who scored greater or equal and less than the median score were categorised as having ‘high’ or ‘low’ cues to action, respectively.20 21 Knowledge: Knowledge of cervical cancer and its screening was measured using six knowledge-based questions, and each question has one correct answer. One point was given for each correct response and zero points for each incorrect response. The scores were summed and the median was calculated; those women who scored above the median were categorised as women with good knowledge, and those women who scored less than the median were categorised as women with poor knowledge.20 21

Data collection tools and process

A pretested, structured interviewer-administered questionnaire was developed after reviewing previous similar studies17 22–25 (online supplemental file) and organised according to the objective of the study. Patients’ ART follow-up charts were reviewed to review the clinical parameters, such as the current WHO clinical staging of HIV and cluster of differentiation 4 count. The HBM constructs were adopted from the principles of 1993 Champion’s revised HBM Scale.20 21

Supplementary data

bmjopen-2022-068253supp002.pdf

The questionnaire was prepared in English and then translated into the local language, Amharic, and retranslated back to English to maintain consistency by professional language translators. The reliability of the measurement tool was checked by calculating Cronbach’s alpha coefficient to measure the internal consistency of the knowledge assessment and the Likert scale items of HBM constructs. Accordingly, the tool was reliable and appropriate for data collection. Four experienced bachelor’s degree-holding nurses and two senior supervisors working in the ART clinics of the health facilities were involved in the data collection process.

Data management and analysis

The collected data was coded and checked for consistency and completeness up to the end of each data collection period. Epi-data software V.3.2.0 was used for data entry, and the entered data was exported to Stata V.15 for Windows. Descriptive statistics of numerical variables were presented in medians with an IQR, and categorical variables were presented using frequency and percentages. The bivariate analysis was done to check the existence of a crude association and to select candidate variables; those variables that had a p value<0.25 were included in the final model.26

Confounding was checked, and a percentage change in the regression coefficients (β) less than 20% reveals an absence of confounding. Interaction for the main effect model was also checked, and the partial likelihood ratio test result with a p value>0.05 and a variance inflation factor less than 10 indicated the non-existence of multicollinearity among the independent variables.

The multivariable binary logistic regression model was used to identify the independent factors associated with the cervical cancer screening service. The summary measures of the estimated crude OR and adjusted OR (AOR) with a 95% CI were presented, and a p value<0.05 was used to declare statistical significance. The goodness of fit of the model was assessed using the Hosmer and Lemeshow goodness of fit test. Finally, the results were presented in statements, tables and figures.

Patient and public involvement

Patients and/or the public were not involved in the design, conduct, reporting or dissemination plans of this research.

Results

Socio-demographic characteristics

A total of 429 HIV-positive women who were on ART in the WSUTRH and Sodo Health Centre ART clinics were approached. Among these, 12 women did not respond; ultimately, 417 HIV-positive women participated, making the response rate 97.2%. The median age of HIV-positive women was 31 years with an IQR of 28–36 years; 364 (87.29%) were urban residents, according to the WHO clinical stage of HIV; 362 (86.81%) of them were on stage 1; and 212 (50.84%) HIV-positive women started ART within the last 4 years (table 1).

Table 1

Baseline characteristics of HIV-positive women on antiretroviral treatment in the public health facilities of Wolaita Sodo town, Southern Ethiopia, 2020 (n=417)

Patient profileCategoriesFrequencyPercentage (%)
Age, median (IQR), years31 (28–36)
Time since the diagnosis of HIV, median (IQR), years4 (3–8)
Time since start of follow-up in ART clinic, median (IQR), years4 (3–8)
CD4 count, median (IQR), cells/mm3695 (560–892)
Age group (years)20–24286.71
25–3422854.68
35–4413331.9
≥45286.71
ResidenceUrban36487.29
Rural5312.71
Educational statusUnable to read and write8921.34
Able to read and write13632.61
Primary completed9823.5
Secondary completed7016.79
College and above245.76
Marital statusSingle4510.8
Married30573.14
Separated307.19
Widowed378.87
Occupational statusGovernment employee9021.58
Farmer153.6
An employee in NGO296.95
Self-employee4811.51
Housewife16238.85
Student112.64
Daily labourer419.83
Others*215.04
Monthly income (US$)First quartile (≤US$22.89)296.95
Second quartile (US$22.92–31.47)16339.1
Third quartile (US$31.5–57.22)14534.77
Fourth quartile (>US$57.22)8019.18
Age at first sex (years)<2020950.12
≥2020849.88
History of any gynaecological examinationYes32778.42
No9021.58
History of modern contraceptive useYes23055.16
No18744.84
Number of childrenNullipara8921.34
19021.58
2–420047.97
≥5389.11
History of multiple sexual partnersYes18744.84
No23055.16
Time since HIV diagnosis (years)<421050.36
4–810525.18
≥910224.46
Time since start of ART follow-up (years)<421250.84
4–813732.85
≥96816.31
WHO clinical stageStage 136286.81
Stage 2337.91
Stage 3153.6
Stage 471.68
CD4 count (cells/mm3)<5005813.91
50035986.09

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*Others, commercial sex workers and merchant.

ART, antiretroviral treatment; CD4, cluster of differentiation 4; mm3, cubic millimetre; NGO, Non-Governmental Organisation.

Knowledge related to cervical cancer

Regarding the overall knowledge of the study participants, 192 (46.04%) had good knowledge regarding cervical cancer. Concerning the signs and symptoms of cervical cancer, the most common symptoms mentioned by the study participants were vagin*l bleeding and foul-smelling vagin*l discharge, reported by 146 (35.01%) and 60 (14.39%) HIV-positive women, respectively. The most commonly mentioned risk factor for cervical cancer was having multiple sexual partners, as reported by 203 (48.68%) HIV-positive women (table 2).

Table 2

Knowledge of HIV-positive women on antiretroviral treatment concerning cervical cancer, and its screening in the public health facilities of Wolaita Sodo town, Southern Ethiopia, 2020 (n=417)

Knowledge itemsFrequencyPercentage (%)
Knowledge about cervical cancer screeningGood knowledge19246.04
Poor knowledge22553.96
Risk factors of cervical cancer
 Having multiple sexual partners20348.6
 Early sexual debut7718.5
 Family history of cervical cancer143.4
 Cigarette smoking143.4
 Long-term oral contraceptive pills71.7
 I do not know10224.4
Signs and symptoms of cervical cancer
 vagin*l bleeding14635.01
 Foul vagin*l discharge6014.39
 Bleeding after sexual intercourse5613.43
 Pelvic or back pain409.59
 I do not know11527.58
Prevention methods for cervical cancer
 Vaccination15236.45
 Cervical cancer screening6014.39
 Spacing children368.63
 Avoiding early marriage163.84
 I do not know15336.69
Recommended time that HIV-positive women should screen for cervical cancer
 As soon as sexually active11537.17
 When one starts having a child5513.19
 At the age of 304310.31
 When menstruation starts307.19
 After menopause153.6
 I do not know11928.54
Frequency of cervical cancer screening for HIV-positive women
 Once every year153.6
 Once every 3 years6315.1
 Once every 5 years23155.4
 I do not know10825.9
Treatment options for cervical cancer
 Radiotherapy16238.85
 Surgery8620.62
 Chemotherapy389.11
 I do not know13131.41

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Information about cervical cancer and its screening practices

Three hundred and thirty-six (80.58%) HIV-positive women have heard about cervical cancer, and of those who had ever heard about cervical cancer, 283 (82.03%) of them heard from their healthcare providers, 42 (12.17%) heard from the media and 20 (5.8%) of them heard from their close relatives, families and friends. Three hundred and thirty-seven (80.82%) HIV-positive women heard about the presence of cervical cancer screening; among these, 278 (82.49%) of them heard from healthcare providers, 42 (12.46%) from the media and 17 (5.04%) from their close relatives, families and friends for the last time.

During the past 5 years, 116 (27.82%; 95% CI: 24.2% to 33.1%) HIV-positive women on ART were screened for cervical cancer, and 301 (72.18%) were not screened for cervical cancer. Among those screened, healthcare provider’s recommendations, relatives’ or friends’ recommendations and media recommendations were the most common reasons that made women be screened for cervical cancer, reported by 89 (76.72%), 11 (9.48%) and 10 (8.62%) women, respectively. Concerning the last screening time, 67 (57.76%), 30 (25.86%) and 19 (16.38%) HIV-positive women were screened within the past 1, 3 and 5 years, respectively. Among those who were not screened for cervical cancer, women’s feeling of being healthy was the most common reason mentioned by 156 (51.83%) HIV-positive women (figure 1).

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Figure 1

Reasons for non-screening of cervical cancer among HIV-positive women on antiretroviral treatment in Southern Ethiopia, 2020 (n=301).

Perception of cervical cancer and its screening

The mean and SD scores of the constructs of the HBM show that the perceived susceptibility scores were 15.5±3.7, the perceived severity score was 29.8±7.7, the perceived benefit score was 21.1±5.6, the perceived barrier score was 31.2±6.3, the self-efficacy score was 11±3.4 and the cues for action score was 1.1±1.2, respectively (table 3).

Table 3

Perception towards cervical cancer, and its screening among HIV-positive women on antiretroviral treatment in the public health facilities of Wolaita Sodo town, Southern Ethiopia, 2020 (n=417)

Constructs of the HBMScale rangeMinimum observed valueMaximum observed valueMean score of
Respondents
SD
Perceived susceptibility5–2552515.53.7
Perceived severity9–4594529.87.7
Perceived benefit12–30123021.15.6
Perceived barrier19–44194431.26.3
Perceived self-efficacy4–16416113.4
Cues to action3–6361.11.2

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HBM, health belief model.

Factors associated with the usage of cervical cancer screening services

After controlling for the effect of other variables, married HIV-positive women were 75% less likely to receive cervical cancer screening services (AOR=0.25; 95% CI: 0.07 to 0.93). Similarly, women who had a high perceived barrier were 66% less likely to use cervical cancer screening services than women with a low perceived barrier (AOR=0.34; 95% CI: 0.12 to 0.98).

Whereas, government employees were almost four times more likely to use cervical cancer screening services as compared with non-government employees (AOR=3.85; 95% CI: 1.31 to 11.3). HIV-positive women who had started sexual intercourse before being 20 years old were two times more likely to use cervical cancer screening services as compared with their counterparts who started after 20 years (AOR=2.39; 95% CI: 1.09 to 5.26). Women who had a history of modern contraceptive use were three times more likely to use cervical cancer screening than those who had not used any modern contraceptives (AOR=2.43; 95% CI: 1.05 to 5.65).

Women with high self-efficacy were four times more likely to use cervical cancer screening services than those with low self-efficacy (AOR=4.42; 95% CI: 1.79 to 10.89). Similarly, HIV-positive women with high perceived benefits were 12 times more likely to use the cervical cancer screening service than those who had low perceived benefits (AOR=12.23; 95% CI: 2.22 to 67.35) (table 4).

Table 4

Factors associated with the usage of cervical cancer screening among HIV-positive women on antiretroviral treatment in the public health facilities of Wolaita Sodo town, Southern Ethiopia, 2020 (n=417)

Patient profileCategoriesCervical cancer screening statusCORP valueAOR (95% Cl)P value
Screened (n=116)Not-screened (n=301)
Frequency (%)Frequency (%)
Age group (years)≥457 (6.03)21 (6.98)Ref (1)
20–249 (7.76)19 (6.31)1.420.56
25–3457 (49.14)171 (56.81)11
35–4443 (37.07)90 (29.90)1.430.45
ResidenceRural13 (11.21)40 (13.29)Ref (1)
Urban103 (88.79)261 (86.71)1.210.57
Educational statusNo formal education49 (42.24)176 (58.47)Ref (1)
Primary completed40 (34.48)58 (19.27)2.480.001*1.45 (0.58 to 3.59)0.43
Secondary completed15 (12.93)55 (18.27)0.980.950.9 (0.29 to 2.77)0.85
College and above12 (10.34)12 (3.99)3.590.004*1.68 (0.22 to 12.86)0.62
Marital statusWidowed14 (12.07)23 (7.64)Ref (1)
Single15 (12.93)30 (9.97)0.820.671.25 (0.23 to 6.75)0.79
Married84 (72.41)221 (73.42)0.620.19*0.25 (0.07 to 0.93)0.04*†
Separated3 (2.59)27 (8.97)0.180.02*0.21 (0.02 to 1.99)0.17
Monthly income (US$)First quartile6 (5.17)23 (7.64)Ref (1)
Second quartile30 (25.86)133 (44.19)0.860.770.6 (0.11 to 3.28)0.55
Third quartile49 (42.24)96 (31.89)1.960.17*0.41 (0.06 to 2.72)0.36
Fourth quartile31 (26.72)49 (16.28)2.430.08*0.38 (0.05 to 2.7)0.33
Occupational statusNon-government employee65 (56.03)262 (87.04)Ref (1)
Government employee51 (43.97)39 (12.96)5.27<0.0001*3.85 (1.31 to 11.3)0.01*†
Age at first sex (years)≥2041 (35.34)167 (55.48)Ref (1)
<2075 (64.66)134 (44.52)2.28<0.0001*2.39 (1.09 to 5.26)0.03*†
History of gynaecological examinationNo12 (10.34)78 (25.91)Ref (1)
Yes104 (89.66)223 (74.09)3.030.001*1.47 (0.43 to 5.01)0.54
Number of children<4105 (90.52)274 (91.03)Ref (1)
≥411 (9.48)27 (8.97)1.060.87
History of modern contraceptive useNo31 (26.72)156 (51.83)Ref (1)
Yes85 (73.28)145 (48.17)2.95<0.0001*2.43 (1.05 to 5.64)0.04*†
history of multiple sexual partnersNo42 (36.21)188 (62.46)Ref (1)
Yes74 (63.79)113 (37.54)2.93<0.0001*1.25 (0.5 to 3.14)0.64
WHO clinical stageStage 185 (73.28)277 (92.03)Ref (1)
Stage 221 (18.10)12 (3.99)5.7<0.0001*2.53 (0.76 to 8.38)0.13
Stage 37 (6.03)8 (2.66)2.850.05*0.8 (0.16 to 3.93)0.79
Stage 43 (2.59)4 (1.33)2.440.252.44 (0.4 to 14.87)0.33
CD4 count (cells/mm3)≥50097 (83.62)262 (87.04)Ref (1)
<50019 (16.38)39 (12.96)1.320.37
Time since HIV diagnosis (years)<428 (24.14)182 (60.47)Ref (1)
≥488 (75.86)119 (39.53)4.81<0.0001*2.8 (0.13 to 60.94)0.51
Time since start of ART follow-up (years)<429 (25)183 (60.8)Ref (1)
≥487 (75)118 (39.2)4.65<0.0001*0.8 (0.03 to 18.79)0.89
Knowledge statusPoor knowledge17 (14.66)78 (25.91)Ref (1)
Good knowledge99 (85.34)223 (74.09)2.040.02*1.13 (0.44 to 2.92)0.8
Perceived susceptibilityLow7 (6.03)174 (57.81)Ref (1)
High109 (93.97)127 (42.19)21.33<0.0001*2.13 (0.56 to 8.08)0.26
Perceived severityLow5 (4.31)136 (45.18)Ref (1)
High111 (95.69)165 (54.82)18.3<0.0001*1.6 (0.4 to 6.35)0.5
Perceived barrierHigh11 (9.48)171 (56.81)Ref (1)
Low105 (90.52)130 (43.19)12.56<0.0001*2.91 (1.02 to 8.26)0.04*†
Perceived self-efficacyLow21 (18.1)216 (71.76)Ref (1)
High95 (81.9)85 (28.24)11.5<0.0001*4.42 (1.79 to 10.89)0.001*†
Perceived benefitLow2 (1.72)162 (53.82)Ref (1)
High114 (98.28)139 (46.18)66.43<0.0001*12.23 (2.22 to 67.35)0.004*†
Cues to actionHigh31 (26.72)222 (73.75)Ref (1)
Low85 (73.28)79 (26.25)7.71<0.0001*1.41 (0.52 to 3.84)0.51

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*Shows significant difference at p<0.25 (candidate variables for the multivariable model).

†Shows significant difference at p<0.05.

AOR, adjusted OR; ART, antiretroviral treatment; CD4, cluster of differentiation 4; COR, crude OR; mm3, cubic millimetre; Ref, reference group.;

Discussion

This study assessed the usage of cervical cancer screening services and associated factors among HIV-positive women on ART in the public health facilities of Wolaita Sodo town, Southern Ethiopia, applying the HBM. The uptake of cervical cancer screening among HIV-positive women within the last 5 years was 27.8%. This finding was much lower than the national goal of screening at least 80% of eligible women.8 The finding was similar to the study conducted in Bishoftu, Ethiopia, which shows cervical cancer screening practice was 25%17 and 24% in Northwest Ethiopia.18 The findings of this study were higher than those of those conducted among HIV-positive women in Gondar, Ethiopia, at 10%,22 and the study conducted in Nigeria at 9.4%.27

Higher usage as compared with previous studies could be explained by the improved expansion and access of screening centres, enhanced nationwide advocacy, media concern, community sensitisation and awareness creation about cervical cancer screening. The findings of the current study were higher than those of the studies conducted in Jimma23 and Dire Dawa,28 Ethiopia, among age-eligible women, which were reported as 15.5% and 4%, respectively. This variation possibly means that HIV-positive women may frequently visit health institutions and consult health professionals, who are the main source of information and the main reason for cervical cancer screening in the current study.

Women who have a history of modern contraceptive use are approximately three times more likely to use cervical cancer screening than those who have no history of modern contraceptive use. Our finding was similar to the studies conducted in Dire Dawa,28 Malaysia29 and Kenya.30 This could be due to those who do not use modern contraception being more rural and poor; it could also be due to an increased chance of communicating with healthcare providers to obtain information about cervical cancer screening services. Healthcare providers should link eligible women to cervical cancer screening when they come to receive family planning services.

Women with high perceived benefits of cervical cancer screening were 12 times more likely to use the screening compared with those who had low perceived benefits. This finding is comparable with the study conducted in Nigeria. This might be due to HIV-positive women having more contact with healthcare providers, who were the main source of information about cervical cancer screenings, either due to their regular attendance at ART services or being prone to frequent hospitalisations, which in turn increases their perceived benefit towards screening.

Women with high self-efficacy were five times more likely to receive cervical cancer screening than those with low self-efficacy. This finding was comparable with the studies conducted in Bishoftu17 and Nigeria31 which discovered that confidence in one’s ability to practice cervical cancer screening was accountable for women’s reporting having ever attended the screening. The study was conducted using a valid and reliable data collection tool that was used in a setting capable of providing cervical cancer screening and ART.

However, this study was not without limitations; we did not assess factors like attitude and viral load. The study was also based on participants’ self-reports through interviews, which might result in recall bias. Second, the perceived barrier construct of the HBM merely focused on the cognitive domain, which failed to identify the genuine barrier. By acknowledging these limitations, we hope that this finding can serve as baseline information for further research.

Conclusions

The usage of cervical cancer screening services among HIV-positive women remains low. The use of modern contraceptive methods, being married, a high perceived barrier, being a government employee, an early start of sexual intercourse, high perceived self-efficacy and high perceived benefits were the factors associated with cervical cancer screening. Healthcare providers should provide concentrated counselling services for all women on ART to improve their usage of cervical cancer screening services.

Supplementary Material

Reviewer comments:

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Author'smanuscript:

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Acknowledgments

The authors thank all the women who took the time to complete the survey.

Footnotes

Twitter: @HagosZenawi

Contributors: AHM and BDK contributed to the study’s conception. AHM, ZHG and BL designed the study, performed the analyses and wrote the first version of the manuscript. ZHG, MAA and NGG contributed to the statistical analyses. All authors read and commented on the manuscript and approved the final version of it. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted. ZHG has full responsibility for the work and/or the conduct of the study, had access to the data, and controlled the decision to publish.

Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data are available upon reasonable request. The data sets generated and analysed during the current study are available from the corresponding author upon reasonable request.

Ethics statements

Patient consent for publication

Not applicable.

Ethics approval

Ethical approval was obtained from the Institutional Health Research Ethics Review Committee of Wolaita Sodo University (CHSM/ERC/149). Written informed consent was taken from each participant, and the data collected from the women and medical records were handled with strong confidentiality, neither the case records nor the collected data were used for any other purpose. All the collected patient information was stored anonymously, and the study was conducted following the 1964 Declaration of Helsinki. Participants gave informed consent to participate in the study before taking part.

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Original research: Usage of cervical cancer screening services among HIV-positive women in Southern Ethiopia: a multicentre cross-sectional study (2024)
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