Factors associated with cervical cancer screening among women living with HIV in the Kilimanjaro region, northern Tanzania: A cross-sectional study

Mwantake, Meshack R.; Kajoka, Happiness D.; Kimondo, Faustini C.; Amour, Caroline; Mboya, Innocent B.

doi:10.1016/j.pmedr.2022.101985

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…Our results were correlating with those from a study carried out in Rwanda by [ 30 ] that concluded that the HPV infection decreased (0.52 times) by the age of a person. This may further be attributed to the fact that older women tend to be less sexually active than the young ones as it was seen that HPV is mostly spread through sexual intercourse [ 4 , 31 ]. Our findings also partially correlated with a study by [ 6 ] in Nigeria, their study found out that positivity screening decreased with an increase in age, with women at least 40 years having a lower relative risk (RR = 0.4; 95%CI = 0.2–0.7).…”

Section: Discussionmentioning

confidence: 99%

“…Uganda is the second-highest-incidence country in East Africa, with a CC incidence rate of 28.8 per 100,000 people annually, 6413 new cases, and 4301 deaths, placing it among the top ten countries worldwide [ 3 ]. Over 99% of CC cases are caused by Human Papillomavirus (HPV), and the primary mode of transmission between individuals is through sexual intercourse [ 4 ]. This makes at least half of the sexually active people have the HPV virus at some point in life though few will get cervical cancer [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms

Namalinzi,

Galadima,

Nalwanga

et al. 2024

BMC Women's Health

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Background Cervical cancer (CC) is among the most prevalent cancer types among women with the highest prevalence in low- and middle-income countries (LMICs). It is a curable disease if detected early. Machine learning (ML) techniques can aid in early detection and prediction thus reducing screening and treatment costs. This study focused on women living with HIV (WLHIV) in Uganda. Its aim was to identify the best predictors of CC and the supervised ML model that best predicts CC among WLHIV. Methods Secondary data that included 3025 women from three health facilities in central Uganda was used. A multivariate binary logistic regression and recursive feature elimination with random forest (RFERF) were used to identify the best predictors. Five models; logistic regression (LR), random forest (RF), K-Nearest neighbor (KNN), support vector machine (SVM), and multi-layer perceptron (MLP) were applied to identify the out-performer. The confusion matrix and the area under the receiver operating characteristic curve (AUC/ROC) were used to evaluate the models. Results The results revealed that duration on antiretroviral therapy (ART), WHO clinical stage, TPT status, Viral load status, and family planning were commonly selected by the two techniques and thus highly significant in CC prediction. The RF from the RFERF-selected features outperformed other models with the highest scores of 90% accuracy and 0.901 AUC. Conclusion Early identification of CC and knowledge of the risk factors could help control the disease. The RF outperformed other models applied regardless of the selection technique used. Future research can be expanded to include ART-naïve women in predicting CC.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms

Namalinzi,

Galadima,

Nalwanga

et al. 2024

BMC Women's Health

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Correlates of Self-Sampling Willingness for HPV-DNA Testing among Medically Underserved Rural Kenyan Women: A Mixed Methods Study

Chepkorir,

Perrin,

Kivuti-Bitok

et al. 2024

Preprint

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IntroductionCervical cancer is the leading cause of cancer-related deaths among Sub-Saharan African women, particularly in rural areas where screening rates are lower due to limited access to highly sensitive tests. This study aimed to investigate factors that might influence rural Kenyan women’s willingness to self-collect samples for HPV-DNA testing.MethodsThis study utilized data from a mixed-methods study in Bomet and Kericho Counties, including survey responses from 174 women and semi-structured interviews with a subset of 21 participants. Logistic regression was used to analyze quantitative data and theoretical thematic analysis for qualitative data.ResultsThe surveyed women had a mean age of 45.2 years, were mainly uninsured (76%) and from low-income households (88.4%). Most participants had heard of cervical cancer (83.2%), yet only 6.4% had ever been screened. However, 76.9% expressed willingness to self-collect samples for HPV-DNA testing. Factors significantly associated with increased self-sampling willingness were cervical cancer awareness (OR=3.49, 95% CI=1.50-8.11), having health workers (OR=1.88, CI=1.23-2.86) and the news media (radio and television) (OR=2.63, CI=1.27-5.48) as primary sources of health information, and ever hearing about cervical cancer from the news media (OR=2.43, CI=1.07-5.51). Conversely, high cervical cancer stigma (OR=0.71, CI=0.57-0.88) and longer travel time of 30 to 120 minutes to the nearest health facility (OR=0.44, CI=0.20-0.93) were associated with decreased willingness. Interview data corroborated these findings.ConclusionsCervical cancer screening uptake is notably low among rural Kenyan women in Bomet and Kericho Counties. Sample self-collection for HPV-DNA testing appears widely acceptable. A comprehensive approach involving educational outreach, health worker recommendation, and mass media campaigns could enhance cervical cancer screening via self- sampling, potentially reducing the burden of cervical cancer. Future research should employ implementation science methodologies to explore cervical cancer screening uptake via self- sampling, to inform population-based implementation strategies in Kenya.

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Integrated cervical cancer screening uptake and associated factors among women attending primary care services at public health centres in Addis Ababa, Ethiopia: a multicentre cross-sectional study

Kassa,

Gelaye,

Omigbodun

2024

bmjph

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BackgroundCervical cancer (CC) is a major health problem in Ethiopia. Integrated healthcare approaches have been suggested as a way to increase access to and utilisation of screening services. Limited data exists on integrated CC screening (CCS) uptake at the primary care facilities where most women access healthcare. This study aimed to determine integrated CCS uptake and associated factors among women attending primary care services at health centres (HCs) in Addis Ababa, Ethiopia.MethodsA multicentred cross-sectional study design was conducted among 1366 women attending primary care services at HCs in Addis Ababa. A systematic random sampling method was used to reach the study participants. Sexually active women aged 30–49 years attending primary care services in HCs were included in the study. A multivariable logistic regression model, with Stata/MP V.17.0 software, was used to identify the factors associated with integrated CCS service utilisation at a p value<0.05. Findings were presented using adjusted OR (AORs) with 95% CI.ResultOnly 15.6% (95% CI: 13.7 to 17.6) of women used the CCS that was integrated into the primary care services that they initially sought. Being single (AOR: 4.10; 95% CI: 2.19 to 7.68), divorced (AOR: 2.33; 95% CI: 1.04 to 5.21), attending college and above (AOR: 5.86; 95% CI: 2.32 to 14.79), being in the richest wealth index (AOR: 2.76; 95% CI: 1.46 to 5.22), husband’s sexual behaviour (AOR: 6.8; 95% CI: 4.09 to 11.21), having a favourable attitude towards CCS (AOR: 2.24; 95% CI: 1.52 to 3.29) and visiting postnatal clinic (AOR: 8.06; 95% CI: 2.33 to 27.8) were associated with utilisation of CCS services, while preference of a specific gender of healthcare provider (HCP) (AOR: 0.04; 95% CI: 0.02 to 0.13) was associated with non-utilisation of CCS.ConclusionThe study found low integrated CCS uptake among women in Addis Ababa, influenced by factors like marital status, education, wealth, husband’s sexual behaviour, attitude towards CCS, postnatal clinic visits and preferred gender of HCPs. Taking these factors into consideration by stakeholders could promote CCS utilisation.

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Factors associated with cervical cancer screening among women living with HIV in the Kilimanjaro region, northern Tanzania: A cross-sectional study

Cited by 6 publications

References 25 publications

Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms

Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms

Correlates of Self-Sampling Willingness for HPV-DNA Testing among Medically Underserved Rural Kenyan Women: A Mixed Methods Study

Integrated cervical cancer screening uptake and associated factors among women attending primary care services at public health centres in Addis Ababa, Ethiopia: a multicentre cross-sectional study

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