Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study

被引:9
|
作者
Tafadzwa, Dhokotera [1 ,2 ,3 ]
Julien, Riou [1 ]
Lina, Bartels [1 ]
Eliane, Rohner [1 ]
Frederique, Chammartin [1 ]
Leigh, Johnson [4 ]
Elvira, Singh [2 ,5 ]
Victor, Olago [2 ,5 ]
Mazvita, Sengayi-Muchengeti [2 ,5 ]
Matthias, Egger [1 ,4 ,6 ]
Julia, Bohlius [1 ]
Garyfallos, Konstantinoudis [1 ,7 ]
机构
[1] Univ Bern, Inst Social & Prevent Med ISPM, Bern, Switzerland
[2] Natl Hlth Lab Serv, Natl Canc Registry, Johannesburg, South Africa
[3] Univ Bern, Grad Sch Cellular & Biomed Sci, Bern, Switzerland
[4] Univ Cape Town, Ctr Infect Dis Epidemiol & Res, Sch Publ Hlth & Family Med, Cape Town, South Africa
[5] Univ Witwatersrand, Sch Publ Hlth, Div Epidemiol & Biostat, Johannesburg, South Africa
[6] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England
[7] Imperial Coll London, Sch Publ Hlth, Epidemiol & Biostat Dept, London, England
基金
欧盟地平线“2020”; 瑞士国家科学基金会; 美国国家卫生研究院;
关键词
DIAGNOSIS; STAGE;
D O I
10.1186/s12942-021-00283-z
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDisparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV positive women in South Africa.MethodsWe included ICC cases in women diagnosed with HIV from the South African HIV cancer match study during 2004-2014. We used the Thembisa model, a mathematical model of the South African HIV epidemic to estimate women diagnosed with HIV per municipality, age group and calendar year. We fitted Bayesian hierarchical models, using a reparameterization of the Besag-York-Mollie to capture spatial autocorrelation, to estimate the spatiotemporal distribution of ICC incidence among women diagnosed with HIV. We also examined the association of deprivation, access to health (using the number of health facilities per municipality) and urbanicity with ICC incidence. We corrected our estimates to account for ICC case underascertainment, missing data and data errors.ResultsWe included 17,821 ICC cases and demonstrated a decreasing trend in ICC incidence, from 306 to 312 in 2004 and from 160 to 191 in 2014 per 100,000 person-years across all municipalities and corrections. The spatial relative rate (RR) ranged from 0.27 to 4.43 in the model without any covariates. In the model adjusting for covariates, the most affluent municipalities had a RR of 3.18 (95% Credible Interval 1.82, 5.57) compared to the least affluent ones, and municipalities with better access to health care had a RR of 1.52 (1.03, 2.27) compared to municipalities with worse access to health.ConclusionsThe results show an increased incidence of cervical cancer in affluent municipalities and in those with more health facilities. This is likely driven by better access to health care in more affluent areas. More efforts should be made to ensure equitable access to health services, including mitigating physical barriers, such as transportation to health centres and strengthening of screening programmes.
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页数:12
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