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Investigating the application of generalized additive models to discrete-time event history analysis for birth events. DEMOGRAPHIC RESEARCH 2022. [DOI: 10.4054/demres.2022.47.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Kabudula CW, Houle B, Ohene-Kwofie D, Mahlangu D, Ng N, Van Minh H, Gómez-Olivé FX, Tollman S, Kahn K. Mortality transition over a quarter century in rural South Africa: findings from population surveillance in Agincourt 1993-2018. Glob Health Action 2021; 14:1990507. [PMID: 35377287 PMCID: PMC8986310 DOI: 10.1080/16549716.2021.1990507] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background Mortality burden in South Africa since the mid-1990s has been characterized by a quadruple disease burden: HIV/AIDS and tuberculosis (TB); other communicable diseases (excluding HIV/AIDS and TB), maternal causes, perinatal conditions and nutritional deficiencies; non-communicable diseases (NCDs); and injuries. Causes from these broad groupings have persistently constituted the top 10 causes of death. However, proportions and rankings have varied over time, alongside overall mortality levels. Objective To provide evidence on the contributions of age and cause-of-death to changes in mortality levels in a rural South African population over a quarter century (1993–2018). Methods Using mortality and cause-of-death data from the Agincourt Health and Socio-Demographic Surveillance System (HDSS), we derive estimates of the distribution of deaths by cause, and hazards of death by age, sex, and time period, 1993–2018. We derive estimates of life expectancies at birth and years of life expectancy gained at age 15 if most common causes of death were deleted. We compare mortality indicators and cause-of-death trends from the Agincourt HDSS with South African national indicators generated from publicly available datasets. Results Mortality and cause-of-death transition reveals that overall mortality levels have returned to pre-HIV epidemic levels. In recent years, the concentration of mortality has shifted towards older ages, and the mortality burden from cardiovascular diseases and other chronic NCDs are more prominent as people living with HIV/AIDS access ART and live longer. Changes in life expectancy at birth, distribution of deaths by age, and major cause-of-death categories in the Agincourt population follow a similar pattern to the South African population. Conclusion The Agincourt HDSS provides critical information about general mortality, cause-of-death, and age patterns in rural South Africa. Realigning and strengthening the South African public health and healthcare systems is needed to concurrently cater for the prevention, control, and treatment of multiple disease conditions.
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Affiliation(s)
- Chodziwadziwa Whiteson Kabudula
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Brian Houle
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,School of Demography, The Australian National University, Canberra, Australia.,CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, Colorado, USA
| | - Daniel Ohene-Kwofie
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Daniel Mahlangu
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nawi Ng
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden.,School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Hoang Van Minh
- Center for Population Health Sciences, Hanoi University of Public Health, Ha Noi, Vietnam
| | - Francesc Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
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Ralph L, Foster DG, Raifman S, Biggs MA, Samari G, Upadhyay U, Gerdts C, Grossman D. Prevalence of Self-Managed Abortion Among Women of Reproductive Age in the United States. JAMA Netw Open 2020; 3:e2029245. [PMID: 33337493 PMCID: PMC7749440 DOI: 10.1001/jamanetworkopen.2020.29245] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Increasing evidence indicates that people are attempting their own abortions outside the formal health care system. However, population-based estimates of experience with self-managed abortion (SMA) are lacking. OBJECTIVE To estimate the prevalence of SMA attempts among the general US population. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional survey study was fielded August 2 to 17, 2017 among English- and Spanish- speaking, self-identified female panel members from the GfK web-based KnowledgePanel. Women ages 18 to 49 years were approached to complete a 1-time survey. Data were analyzed from September 22, 2017, to March 26, 2020. MAIN OUTCOMES AND MEASURES SMA was defined as "some women may do something on their own to try to end a pregnancy without medical assistance. For example, they may get information from the internet, a friend, or family member about pills, medicine, or herbs they can take on their own, or they may do something else to try to end the pregnancy." SMA was assessed using the question, "Have you ever taken or used something on your own, without medical assistance, to try to end an unwanted pregnancy?" Participants reporting SMA were asked about methods used, reasons, and outcomes. Factors associated with SMA experience, including age, race/ethnicity, socioeconomic status, nativity, reproductive health history, and geography, were assessed. Projected lifetime SMA prevalence was estimated using discrete-time event history models, adjusting for abortion underreporting. RESULTS Among 14 151 participants invited to participate, 7022 women (49.6%) (mean [SE] age, 33.9 [9.0] years) agreed to participate. Among these, 57.4% (95% CI, 55.8%-59.0%) were non-Hispanic White, 20.2% (95% CI, 18.9%-21.5%) were Hispanic, and 13.3% (95% CI, 12.1%-14.5%) were non-Hispanic Black; and 15.1% (95% CI, 14.1%-16.3%) reported living at less than 100% federal poverty level (FPL). A total of 1.4% (95% CI, 1.0%-1.8%) of participants reported a history of attempting SMA while in the US. Projected lifetime prevalence of SMA adjusting for underreporting of abortion was 7.0% (95% CI, 5.5%-8.4%). In bivariable analyses, non-Hispanic Black (prevalence ratio [PR], 3.16; 95% CI, 1.48-6.75) and Hispanic women surveyed in English (PR, 3.74; 95% CI, 1.78-7.87) were more likely than non-Hispanic White women to have attempted SMA. Women living below 100% of the FPL were also more likely to have attempted SMA compared with those at 200% FPL or greater (PR, 3.43; 95% CI, 1.83-6.42). At most recent SMA attempt, 20.0% (95% CI, 10.9%-33.8%) of respondents used misoprostol, 29.2% (95% CI, 17.5%-44.5%) used another medication or drug, 38.4% (95% CI, 25.3%-53.4%) used herbs, and 19.8% (95% CI, 10.0%-35.5%) used physical methods. The most common reasons for SMA included that it seemed faster or easier (47.2% [95% CI, 33.0%-61.8%]) and the clinic was too expensive (25.2% [95% CI, 15.7%-37.7%]). Of all attempts, 27.8% (95% CI, 16.6%-42.7%) of respondents reported they were successful; the remainder reported they had subsequent facility-based abortions (33.6% [95% CI, 21.0%-49.0%]), continued the pregnancy (13.4% [95% CI, 7.4%-23.1%]), had a miscarriage (11.4% [95% CI, 4.2%-27.5%]), or were unsure (13.3% [95% CI, 6.8%-24.7%]). A total of 11.0% (95% CI, 5.5%-21.0%) of respondents reported a complication. CONCLUSIONS AND RELEVANCE This cross-sectional study found that approximately 7% of US women reported having attempted SMA in their lifetime, commonly with ineffective methods. These findings suggest that surveys of SMA experience among patients at abortion clinics may capture only one-third of SMA attempts. People's reasons for attempting SMA indicate that as abortion becomes more restricted, SMA may become more common.
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Affiliation(s)
- Lauren Ralph
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Diana G. Foster
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Sarah Raifman
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - M. Antonia Biggs
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Goleen Samari
- Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York
| | - Ushma Upadhyay
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Caitlin Gerdts
- Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York
- Ibis Reproductive Health, Oakland, California
| | - Daniel Grossman
- Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
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Kabudula CW, Houle B, Collinson MA, Kahn K, Gómez-Olivé FX, Tollman S, Clark SJ. Socioeconomic differences in mortality in the antiretroviral therapy era in Agincourt, rural South Africa, 2001-13: a population surveillance analysis. Lancet Glob Health 2017; 5:e924-e935. [PMID: 28807190 PMCID: PMC5559644 DOI: 10.1016/s2214-109x(17)30297-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 06/27/2017] [Accepted: 07/06/2017] [Indexed: 12/27/2022]
Abstract
BACKGROUND Understanding the effects of socioeconomic disparities in health outcomes is important to implement specific preventive actions. We assessed socioeconomic disparities in mortality indicators in a rural South African population over the period 2001-13. METHODS We used data from 21 villages of the Agincourt Health and socio-Demographic Surveillance System (HDSS). We calculated the probabilities of death from birth to age 5 years and from age 15 to 60 years, life expectancy at birth, and cause-specific and age-specific mortality by sex (not in children <5 years), time period, and socioeconomic status (household wealth) quintile for HIV/AIDS and tuberculosis, other communicable diseases (excluding HIV/AIDS and tuberculosis) and maternal, perinatal, and nutritional causes, non-communicable diseases, and injury. We also quantified differences with relative risk ratios and relative and slope indices of inequality. FINDINGS Between 2001 and 2013, 10 414 deaths were registered over 1 058 538 person-years of follow-up, meaning the overall crude mortality was 9·8 deaths per 1000 person-years. We found significant socioecomonic status gradients for mortality and life expectancy at birth, with outcomes improving with increasing socioeconomic status. An inverse relation was seen for HIV/AIDS and tuberculosis mortality and socioeconomic status that persisted from 2001 to 2013. Deaths from non-communicable diseases increased over time in both sexes, and injury was an important cause of death in men and boys. Neither of these causes of death, however, showed consistent significant associations with household socioeconomic status. INTERPRETATION The poorest people in the population continue to bear a high burden of HIV/AIDS and tuberculosis mortality, despite free antiretroviral therapy being made available from public health facilities. Associations between socioeconomic status and increasing burden of mortality from non-communicable diseases is likely to become prominent. Integrated strategies are needed to improve access to and uptake of HIV testing, care, and treatment, and management of non-communicable diseases in the poorest populations. FUNDING Wellcome Trust, South African Medical Research Council, and University of the Witwatersrand, South Africa.
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Affiliation(s)
- Chodziwadziwa W Kabudula
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Brian Houle
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; School of Demography, Australian National University, Canberra, ACT, Australia; CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, CO, USA
| | - Mark A Collinson
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; Department of Science and Technology/Medical Research Council, South African Population Research Infrastructure Network (SAPRIN), Acornhoek, South Africa
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Francesc Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Samuel J Clark
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, CO, USA; INDEPTH Network, Accra, Ghana; Department of Sociology, The Ohio State University, Columbus, OH, USA
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Kabudula CW, Houle B, Collinson MA, Kahn K, Gómez-Olivé FX, Clark SJ, Tollman S. Progression of the epidemiological transition in a rural South African setting: findings from population surveillance in Agincourt, 1993-2013. BMC Public Health 2017; 17:424. [PMID: 28486934 PMCID: PMC5424387 DOI: 10.1186/s12889-017-4312-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 04/26/2017] [Indexed: 01/16/2023] Open
Abstract
Background Virtually all low- and middle-income countries are undergoing an epidemiological transition whose progression is more varied than experienced in high-income countries. Observed changes in mortality and disease patterns reveal that the transition in most low- and middle-income countries is characterized by reversals, partial changes and the simultaneous occurrence of different types of diseases of varying magnitude. Localized characterization of this shifting burden, frequently lacking, is essential to guide decentralised health and social systems on the effective targeting of limited resources. Based on a rigorous compilation of mortality data over two decades, this paper provides a comprehensive assessment of the epidemiological transition in a rural South African population. Methods We estimate overall and cause-specific hazards of death as functions of sex, age and time period from mortality data from the Agincourt Health and socio-Demographic Surveillance System and conduct statistical tests of changes and differentials to assess the progression of the epidemiological transition over the period 1993–2013. Results From the early 1990s until 2007 the population experienced a reversal in its epidemiological transition, driven mostly by increased HIV/AIDS and TB related mortality. In recent years, the transition is following a positive trajectory as a result of declining HIV/AIDS and TB related mortality. However, in most age groups the cause of death distribution is yet to reach the levels it occupied in the early 1990s. The transition is also characterized by persistent gender differences with more rapid positive progression in females than males. Conclusions This typical rural South African population is experiencing a protracted epidemiological transition. The intersection and interaction of HIV/AIDS and antiretroviral treatment, non-communicable disease risk factors and complex social and behavioral changes will impact on continued progress in reducing preventable mortality and improving health across the life course. Integrated healthcare planning and program delivery is required to improve access and adherence for HIV and non-communicable disease treatment. These findings from a local, rural setting over an extended period contribute to the evidence needed to inform further refinement and advancement of epidemiological transition theory. Electronic supplementary material The online version of this article (doi:10.1186/s12889-017-4312-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chodziwadziwa W Kabudula
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. .,Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
| | - Brian Houle
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,School of Demography, The Australian National University, Canberra, Australia.,CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, CO, USA
| | - Mark A Collinson
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,INDEPTH Network, Accra, Ghana.,Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,INDEPTH Network, Accra, Ghana.,Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Francesc Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,INDEPTH Network, Accra, Ghana
| | - Samuel J Clark
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, CO, USA.,INDEPTH Network, Accra, Ghana.,Department of Sociology, The Ohio State University, Columbus, OH, USA
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,INDEPTH Network, Accra, Ghana.,Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
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