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Agogo GO, Munywoki PK, Audi A, Auko J, Aol G, Oduor C, Kiplangat S, Ouma A, Komo T, Herman-Roloff A, Munyua P, Bigogo G. The effect of COVID-19 pandemic on healthcare seeking in an urban informal settlement in Nairobi and a rural setting in western Kenya. PLOS Glob Public Health 2024; 4:e0002968. [PMID: 38630844 PMCID: PMC11023466 DOI: 10.1371/journal.pgph.0002968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/27/2024] [Indexed: 04/19/2024]
Abstract
The COVID-19 pandemic caused widespread changes and disruptions to healthcare seeking behavior. There are limited studies on the effect of the COVID-19 pandemic on healthcare seeking patterns in low-and middle-income countries (LMICs), especially in settings with inequitable access to healthcare in rural and urban informal settlements. We investigated the effect of the COVID-19 pandemic on reported healthcare seeking at health facilities and chemists using morbidity data from participants in an ongoing population-based infectious disease surveillance platform in Asembo in Siaya County, a rural setting in western Kenya and Kibera, an urban informal settlement in Nairobi County. We described healthcare seeking patterns before (from 1st January 2016 to 12th March 2020) and during the pandemic (from 13th March 2020 to 31st August 2022) by gender and age for any reported illness and select clinical syndromes using frequencies and percentages. We used a generalized estimating equation with an exchangeable correlation structure to assess the effect of the pandemic on healthcare seeking adjusting for gender and age. Overall, there was a 19% (adjusted odds ratio, aOR: 0.81; 95% Confidence Interval, CI: 0.79-0.83) decline in odds of seeking healthcare at health facilities for any illness in Asembo during the pandemic, and a 30% (aOR: 0.70; 95% CI: 0.67-0.73) decline in Kibera. Similarly, there was a decline in seeking healthcare by clinical syndromes, e.g., for ARI, aOR: 0.76; 95% CI:0.73-0.79 in Asembo, and aOR: 0.68; 95% CI:0.64-0.72 in Kibera. The pandemic resulted in increased healthcare seeking at chemists (aOR: 1.23; 95% CI: 1.20-1.27 in Asembo, and aOR: 1.40; 95% CI: 1.35-1.46 in Kibera). This study highlights interruptions to healthcare seeking in resource-limited settings due to the COVID-19 pandemic. The pandemic resulted in a substantial decline in seeking care at health facilities, and an increase of the same at chemists.
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Affiliation(s)
- George O. Agogo
- Division of Global Health Protection, U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Patrick K. Munywoki
- Division of Global Health Protection, U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Allan Audi
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Joshua Auko
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - George Aol
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Clifford Oduor
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Samuel Kiplangat
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Alice Ouma
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Terry Komo
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Amy Herman-Roloff
- Division of Global Health Protection, U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Peninah Munyua
- Division of Global Health Protection, U.S. Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Godfrey Bigogo
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
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Oduor C, Omwenga I, Ouma A, Mutinda R, Kiplangat S, Mogeni OD, Cosmas L, Audi A, Odongo GS, Obor D, Breiman R, Montgomery J, Agogo G, Munywoki P, Bigogo G, Verani JR. Mortality patterns over a 10-year period in Kibera, an urban informal settlement in Nairobi, Kenya, 2009-2018. Glob Health Action 2023; 16:2238428. [PMID: 37490025 PMCID: PMC10392302 DOI: 10.1080/16549716.2023.2238428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Reliable mortality data are important for evaluating the impact of health interventions. However, data on mortality patterns among populations living in urban informal settlements are limited. OBJECTIVES To examine the mortality patterns and trends in an urban informal settlement in Kibera, Nairobi, Kenya. METHODS Using data from a population-based surveillance platform we estimated overall and cause-specific mortality rates for all age groups using person-year-observation (pyo) denominators and using Poisson regression tested for trends in mortality rates over time. We compared associated mortality rates across groups using incidence rate ratios (IRR). Assignment of probable cause(s) of death was done using the InterVA-4 model. RESULTS We registered 1134 deaths from 2009 to 2018, yielding a crude mortality rate of 4.4 (95% Confidence Interval [CI]4.2-4.7) per 1,000 pyo. Males had higher overall mortality rates than females (incidence rate ratio [IRR], 1.44; 95% CI, 1.28-1.62). The highest mortality rate was observed among children aged < 12 months (41.5 per 1,000 pyo; 95% CI 36.6-46.9). All-cause mortality rates among children < 12 months were higher than that of children aged 1-4 years (IRR, 8.5; 95% CI, 6.95-10.35). The overall mortality rate significantly declined over the period, from 6.7 per 1,000 pyo (95% CI, 5.7-7.8) in 2009 to 2.7 (95% CI, 2.0-3.4) per 1,000 pyo in 2018. The most common cause of death was acute respiratory infections (ARI)/pneumonia (18.1%). Among children < 5 years, the ARI/pneumonia deaths rate declined significantly over the study period (5.06 per 1,000 pyo in 2009 to 0.61 per 1,000 pyo in 2018; p = 0.004). Similarly, death due to pulmonary tuberculosis among persons 5 years and above significantly declined (0.98 per 1,000 pyo in 2009 to 0.25 per 1,000 pyo in 2018; p = 0.006). CONCLUSIONS Overall and some cause-specific mortality rates declined over time, representing important public health successes among this population.
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Affiliation(s)
- Clifford Oduor
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Irene Omwenga
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Alice Ouma
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Robert Mutinda
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Samwel Kiplangat
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Ondari D Mogeni
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
- Epidemiology, Public Health, Implementation & Clinical Development Unit, International Vaccine Institute (IVI), Seoul, South Korea
| | - Leonard Cosmas
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Allan Audi
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - George S Odongo
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - David Obor
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Robert Breiman
- The Emory Global Health Institute, Emory University, Atlanta, GA, USA
| | - Joel Montgomery
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - George Agogo
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Patrick Munywoki
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Godfrey Bigogo
- Centre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Jennifer R Verani
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Nairobi, Kenya
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Oduor C, Audi A, Kiplangat S, Auko J, Ouma A, Aol G, Nasimiyu C, O. Agogo G, Lo T, Munyua P, Herman-Roloff A, Bigogo G, K. Munywoki P. Estimating excess mortality during the COVID-19 pandemic from a population-based infectious disease surveillance in two diverse populations in Kenya, March 2020-December 2021. PLOS Glob Public Health 2023; 3:e0002141. [PMID: 37611028 PMCID: PMC10446178 DOI: 10.1371/journal.pgph.0002141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/16/2023] [Indexed: 08/25/2023]
Abstract
Robust data on the impact of the COVID-19 pandemic on mortality in Africa are relatively scarce. Using data from two well-characterized populations in Kenya we aimed to estimate excess mortality during the COVID-19 pandemic period. The mortality data arise from an ongoing population-based infectious disease surveillance (PBIDS) platform, which has been operational since 2006 in rural western Kenya (Asembo, Siaya County) and an urban informal settlement (Kibera, Nairobi County), Kenya. PBIDS participants were regularly visited at home (2-3 times a year) by field workers who collected demographic data, including deaths. In addition, verbal autopsy (VA) interviews for all identified deaths are conducted. We estimated all-cause and cause-specific mortality rates before and during the height of the COVID-19 pandemic, and we compared associated mortality rates between the periods using incidence rate ratios. Excess deaths during the COVID-19 period were also estimated by modelling expected deaths in the absence of COVID-19 by applying a negative binomial regression model on historical mortality data from January 2016. Overall and monthly excess deaths were determined using the P-score metric. Spearman correlation was used to assess whether there is a relationship between the generated P-score and COVID-19 positivity rate. The all-cause mortality rate was higher during the COVID-19 period compared to the pre-COVID-19 period in Asembo [9.1 (95% CI, 8.2-10.0) vs. 7.8 (95% CI, 7.3-8.3) per 1000 person-years of observation, pyo]. In Kibera, the all-cause mortality rate was slightly lower during the COVID-19 period compared to the pre-COVID-19 period [2.6 (95% CI, 2.2-3.2 per 1000 pyo) vs. 3.1; 95% CI, 2.7-3.4 per 1000 pyo)]. An increase in all-cause mortality was observed (incidence rate ratio, IRR, 1.16; 95% CI, 1.04-1.31) in Asembo, unlike in Kibera (IRR, 0.88; 95% CI, 0.71-1.09). The notable increase in mortality rate in Asembo was observed among persons aged 50 to 64 years (IRR, 2.62; 95% CI, 1.95-3.52), persons aged 65 years and above (5.47; 95% CI, 4.60-6.50) and among females (IRR, 1.25; 95% CI, 1.07-1.46). These age and gender differences were not observed in Kibera. We observed an increase in the mortality rate due to acute respiratory infection, including pneumonia (IRR, 1.45;95% CI, 1.03-2.04), and a reduction in the mortality rate due to pulmonary tuberculosis (IRR, 0.22; 95% CI, 0.05-0.87) among older children and adults in Asembo. There was no statistically significant change in mortality rates due to leading specific causes of death in Kibera. Overall, during the COVID-19 period observed deaths were higher than expected deaths in Asembo (P-score = 6.0%) and lower than expected in Kibera (P-score = -22.3%).Using well-characterized populations in the two diverse geographic locations, we demonstrate a heterogenous impact of the COVID-19 pandemic on all-cause and cause-specific mortality rates in Kenya. We observed more deaths than expected during the COVID-19 period in our rural site in western Kenya contrary to the urban site in Nairobi, the capital city in Kenya.
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Affiliation(s)
- Clifford Oduor
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Allan Audi
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Samwel Kiplangat
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Joshua Auko
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Alice Ouma
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - George Aol
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Carolyne Nasimiyu
- Washington State University (WSU) Global Health Kenya, Nairobi, Kenya
| | - George O. Agogo
- Division of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Terrence Lo
- Division of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Peninah Munyua
- Division of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Amy Herman-Roloff
- Division of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Godfrey Bigogo
- Center for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya
| | - Patrick K. Munywoki
- Division of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya
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Ng'eno E, Lind M, Audi A, Ouma A, Oduor C, Munywoki PK, Agogo GO, Odongo G, Kiplangat S, Wamola N, Osita MP, Mugoh R, Ochieng C, Omballa V, Mogeni OD, Mikoleit M, Fields BS, Montgomery JM, Gauld J, Breiman RF, Juma B, Hunsperger E, Widdowson MA, Bigogo G, Mintz ED, Verani JR. Dynamic Incidence of Typhoid Fever over a 10-Year Period (2010-2019) in Kibera, an Urban Informal Settlement in Nairobi, Kenya. Am J Trop Med Hyg 2023:tpmd220736. [PMID: 37253442 DOI: 10.4269/ajtmh.22-0736] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 06/01/2023] Open
Abstract
Typhoid fever burden can vary over time. Long-term data can inform prevention strategies; however, such data are lacking in many African settings. We reexamined typhoid fever incidence and antimicrobial resistance (AMR) over a 10-year period in Kibera, a densely populated urban informal settlement where a high burden has been previously described. We used data from the Population Based Infectious Diseases Surveillance platform to estimate crude and adjusted incidence rates and prevalence of AMR in nearly 26,000 individuals of all ages. Demographic and healthcare-seeking information was collected through household visits. Blood cultures were processed for patients with acute fever or lower respiratory infection. Between 2010 and 2019, 16,437 participants were eligible for blood culture and 11,848 (72.1%) had a culture performed. Among 11,417 noncontaminated cultures (96.4%), 237 grew Salmonella enterica serovar Typhi (2.1%). Overall crude and adjusted incidences were 95 and 188 cases per 100,000 person-years of observation (pyo), respectively. Annual crude incidence varied from 144 to 233 between 2010 and 2012 and from 9 to 55 between 2013 and 2018 and reached 130 per 100,000 pyo in 2019. Children 5-9 years old had the highest overall incidence (crude, 208; adjusted, 359 per 100,000 pyo). Among isolates tested, 156 of 217 were multidrug resistant (resistant to chloramphenicol, ampicillin, and trimethoprim/sulfamethoxazole [71.9%]) and 6 of 223 were resistant to ciprofloxacin (2.7%). Typhoid fever incidence resurged in 2019 after a prolonged period of low rates, with the highest incidence among children. Typhoid fever control measures, including vaccines, could reduce morbidity in this setting.
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Affiliation(s)
- Eric Ng'eno
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Margaret Lind
- Institute for Disease Modelling, Seattle, Washington
- Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, Connecticut
| | - Allan Audi
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Alice Ouma
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Clifford Oduor
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Patrick K Munywoki
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - George O Agogo
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - George Odongo
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Samuel Kiplangat
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Newton Wamola
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Mike Powel Osita
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Robert Mugoh
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Caroline Ochieng
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Victor Omballa
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Ondari D Mogeni
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
- Epidemiology, Public Health and Impact Unit, International Vaccine Institute, Seoul, South Korea
| | | | - Barry S Fields
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joel M Montgomery
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jillian Gauld
- Institute for Disease Modelling, Seattle, Washington
| | - Robert F Breiman
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Bonventure Juma
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Elizabeth Hunsperger
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Marc-Alain Widdowson
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
- Institute of Tropical Medicine, Antwerp, Belgium
| | - Godfrey Bigogo
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Eric D Mintz
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jennifer R Verani
- Division of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya
- Centers for Disease Control and Prevention, Atlanta, Georgia
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Babagoli MA, Benshaul-Tolonen A, Zulaika G, Nyothach E, Oduor C, Obor D, Mason L, Kerubo E, Ngere I, Laserson KF, Tudor Edwards R, Phillips-Howard PA. Cost-Effectiveness and Cost-Benefit Analyses of Providing Menstrual Cups and Sanitary Pads to Schoolgirls in Rural Kenya. Womens Health Rep (New Rochelle) 2022; 3:773-784. [PMID: 36185073 PMCID: PMC9518800 DOI: 10.1089/whr.2021.0131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 08/01/2022] [Indexed: 11/12/2022]
Abstract
Objective To analyze the relative value of providing menstrual cups and sanitary pads to primary schoolgirls. Design Cost-effectiveness and cost-benefit analyses of three-arm single-site open cluster randomized controlled pilot study providing menstrual cups or sanitary pads for 1 year. Participants Girls 14-16 years of age enrolled across 30 primary schools in rural western Kenya. Methods Cost-effectiveness analysis was conducted based on the health effects (reductions in disability-adjusted life years [DALYs]) and education effects (reductions in school absenteeism) of both interventions. The health and education benefits were separately valued and compared with relative program costs. Results Compared with the control group, the cost of menstrual cups was estimated at $3,270 per year for 1000 girls, compared with $24,000 for sanitary pads. The benefit of the menstrual cup program (1.4 DALYs averted, 95% confidence interval [CI]: -4.3 to 3.1) was higher compared with a sanitary pad program (0.48 DALYs averted, 95% CI: -4.2 to 2.3), but the health effects of both interventions were not statistically significant likely due to the limited statistical power. Using point estimates, the menstrual cup intervention was cost-effective in improving health outcomes ($2,300/DALY averted). The sanitary pad intervention had a cost-effectiveness of $300/student-school year in reducing school absenteeism. When considering improvements in future earnings from reduced absenteeism, the sanitary pad program had a net benefit of +$68,000 (95% CI: -$32,000 to +$169,000). Conclusions The menstrual cup may provide a cost-effective solution for menstrual hygiene management in low-income settings. This study outlines a methodology for future analyses of menstrual hygiene interventions and highlights several knowledge gaps that need to be addressed. Trial registration: ISRCTN17486946.
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Affiliation(s)
- Masih A. Babagoli
- Department of Economics, Barnard College, Columbia University, New York, USA
| | | | - Garazi Zulaika
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Elizabeth Nyothach
- Centre for Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Clifford Oduor
- Centre for Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - David Obor
- Centre for Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Linda Mason
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Emily Kerubo
- Centre for Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Isaac Ngere
- County Health Headquarters, Ministry of Health, Siaya County, Kenya
| | - Kayla F. Laserson
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rhiannon Tudor Edwards
- Centre for Health Economics and Medicines Evaluations, Bangor University, Bangor, United Kingdom
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Kimani M, van der Elst EM, Chiro O, Oduor C, Wahome E, Kazungu W, Shally M, Rinke de Wit TF, Graham SM, Operario D, Sanders EJ. PrEP interest and HIV-1 incidence among MSM and transgender women in coastal Kenya. J Int AIDS Soc 2019; 22:e25323. [PMID: 31194291 PMCID: PMC6563853 DOI: 10.1002/jia2.25323] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 05/22/2019] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION There is emerging data on HIV-1 incidence among MSM in sub-Saharan Africa (SSA), but no known estimate of HIV-1 incidence among transgender women (TGW) in the region has yet been reported. We assessed HIV-1 incidence and pre-exposure prophylaxis (PrEP) interest in men who have sex with men exclusively (MSME), men who have sex with men and women (MSMW) and TGW in coastal Kenya. METHODS HIV-1-seronegative individuals who had participated in an HIV testing study in 2016 were traced and retested in 2017 according to Kenyan guidelines. All participants were assigned male sex at birth and had male sex partners; additional data on gender identity and sexual orientation were obtained. We assessed the factors associated with HIV-1 acquisition using Poisson regression and calculated HIV-1 incidence in MSME, MSMW and TGW. PrEP interest was assessed through focus group discussions to characterize subcategories' perceived PrEP needs. RESULTS Of the 168 cohort participants, 42 were classified as MSME, 112 as MSMW and 14 as TGW. Overall, HIV-1 incidence was 5.1 (95% confidence interval (CI): 2.6 to 9.8) per 100 person-years (PY): 4.5 (95% CI: 1.1 to 17.8] per 100 PY among MSME, 3.4 (95% CI: 1.3 to 9.1) per 100 PY among MSMW and 20.6 (95% CI: 6.6 to 63.8] per 100 PY among TGW. HIV-1 acquisition was associated with exclusive receptive anal intercourse (aIRR 13.0, 95% CI 1.9 to 88.6), history of an STI in preceding six months (aIRR 10.3, 95% CI 2.2 to 49.4) and separated/divorced marital status (aIRR 8.2 (95%: 1.1 to 62.2). Almost all (98.8%) participants were interested in initiating PrEP. MSME and TGW felt that PrEP would lead to increases in condomless anal or group sex. CONCLUSIONS TGW had a very high HIV-1 incidence compared with MSME and MSMW. Subcategories of MSM anticipated different PrEP needs and post-PrEP risk behaviour. Further studies should assess if TGW may have been wrongly categorized as MSM in other HIV-1 incidence studies in the region.
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Affiliation(s)
| | - Elise M van der Elst
- KEMRI‐Wellcome Trust Research ProgramKilifiKenya
- Amsterdam Institute for Global Health and Development (AIGHD)Department of Global HealthUniversity of AmsterdamAmsterdamthe Netherlands
| | - Oscar Chiro
- KEMRI‐Wellcome Trust Research ProgramKilifiKenya
| | | | | | | | | | - Tobias F Rinke de Wit
- Amsterdam Institute for Global Health and Development (AIGHD)Department of Global HealthUniversity of AmsterdamAmsterdamthe Netherlands
| | - Susan M Graham
- KEMRI‐Wellcome Trust Research ProgramKilifiKenya
- University of WashingtonSeattleWAUSA
| | | | - Eduard J Sanders
- KEMRI‐Wellcome Trust Research ProgramKilifiKenya
- Amsterdam Institute for Global Health and Development (AIGHD)Department of Global HealthUniversity of AmsterdamAmsterdamthe Netherlands
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
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Rafferty H, Chirro O, Oduor C, Wahome E, Ngoi C, van der Elst E, Berger R, Rowland-Jones S, Graham SM, Sanders EJ. Pilot testing of an online training module about screening for acute HIV infection in adult patients seeking urgent healthcare. Int Health 2019; 11:93-100. [PMID: 30388277 PMCID: PMC6398591 DOI: 10.1093/inthealth/ihy077] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 08/08/2018] [Accepted: 10/24/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Acute HIV infection (AHI) is the phase of HIV infection immediately after acquisition, during which many patients develop symptoms and often seek healthcare. However, clinicians in sub-Saharan Africa are not currently taught about AHI. METHODS This study pilot-tested a self-directed AHI training module among clinical officers (COs) in coastal Kenya and assessed knowledge gained and challenges to instituting screening. The training module included four domains: AHI definition and importance of AHI recognition; symptoms and screening algorithms; diagnostic strategies; and management. AHI knowledge was assessed before and immediately after training. Participants' ability to utilize an AHI screening algorithm was evaluated with a case-based exercise. RESULTS Self-directed training was completed by 45 COs. Pre-test scores were low (median score 35% IQR 30-45%), but improved significantly after training (median post-test score 75%, IQR 70-85%, Wilcoxon signed-rank test p<0.0001). Participants had challenges in understanding the utility and application of a screening algorithm to identify patients for whom AHI testing would be indicated. Knowledge of AHI was poor at baseline, but improved with self-directed learning. Based on these findings, we revised and improved the AHI training module and pre- and post-assessments, which are now freely available online at www.marps-africa.org. CONCLUSIONS Guidelines on AHI screening and diagnosis are urgently needed in high HIV transmission areas.
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Affiliation(s)
- Hannah Rafferty
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - Oscar Chirro
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - Clifford Oduor
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - Elizabeth Wahome
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - Caroline Ngoi
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - Elise van der Elst
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
| | - René Berger
- United States Agency for International Development (USAID), Nairobi, Kenya
| | - Sarah Rowland-Jones
- Nuffield Department of Medicine, University of Oxford, Headington, Oxford, UK
| | - Susan M Graham
- University of Washington, 359909, 325 Ninth Avenue, Seattle, WA, USA
| | - Eduard J Sanders
- KEMRI/Wellcome Trust Research Programme Centre for Geographic Medicine Research—Coast, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Headington, Oxford, UK
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8
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Alexander KT, Zulaika G, Nyothach E, Oduor C, Mason L, Obor D, Eleveld A, Laserson KF, Phillips-Howard PA. Do Water, Sanitation and Hygiene Conditions in Primary Schools Consistently Support Schoolgirls' Menstrual Needs? A Longitudinal Study in Rural Western Kenya. Int J Environ Res Public Health 2018; 15:ijerph15081682. [PMID: 30087298 PMCID: PMC6121484 DOI: 10.3390/ijerph15081682] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/01/2018] [Accepted: 08/04/2018] [Indexed: 11/16/2022]
Abstract
Many females lack access to water, privacy and basic sanitation—felt acutely when menstruating. Water, sanitation and hygiene (WASH) conditions in schools, such as access to latrines, water, and soap, are essential for the comfort, equity, and dignity of menstruating girls. Our study was nested within a cluster randomized controlled pilot feasibility study where nurses provided menstrual items to schoolgirls. We observed the WASH conditions of 30 schools from June 2012–October 2013 to see if there were any changes in conditions, to compare differences between study arms and to examine agreement between observed and teacher-reported conditions. Data came from study staff observed, and school teacher reported, WASH conditions. We developed scores for the condition of school facilities to report any changes in conditions and compare outcomes across study arms. Results demonstrated that soap availability for students increased significantly between baseline and follow-up while there was a significant decrease in the number of “acceptable” latrines. During the study follow-up period, individual WASH indicators supporting menstruating girls, such as locks on latrine doors or water availability in latrines did not significantly improve. Advances in WASH conditions for all students, and menstrual hygiene facilities for schoolgirls, needs further support, a defined budget, and regular monitoring of WASH facilities to maintain standards.
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Affiliation(s)
- Kelly T Alexander
- Liverpool School of Tropical Medicine, Liverpool L35QA, UK.
- Cooperative for Assistance and Relief Everywhere (CARE), 151 Ellis St NE, Atlanta, GA 30303, USA.
| | - Garazi Zulaika
- Liverpool School of Tropical Medicine, Liverpool L35QA, UK.
| | | | - Clifford Oduor
- Kenya Medical Research Institute, Kisumu 1578-40100, Kenya.
| | - Linda Mason
- Liverpool School of Tropical Medicine, Liverpool L35QA, UK.
| | - David Obor
- Kenya Medical Research Institute, Kisumu 1578-40100, Kenya.
| | - Alie Eleveld
- Safe Water and AIDS Programme, Kisumu 3323-40100, Kenya.
| | - Kayla F Laserson
- Kenya Medical Research Institute, Kisumu 1578-40100, Kenya.
- Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
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Juma J, Nyothach E, Laserson KF, Oduor C, Arita L, Ouma C, Oruko K, Omoto J, Mason L, Alexander KT, Fields B, Onyango C, Phillips-Howard PA. Examining the safety of menstrual cups among rural primary school girls in western Kenya: observational studies nested in a randomised controlled feasibility study. BMJ Open 2017; 7:e015429. [PMID: 28473520 PMCID: PMC5566618 DOI: 10.1136/bmjopen-2016-015429] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Examine the safety of menstrual cups against sanitary pads and usual practice in Kenyan schoolgirls. DESIGN Observational studies nested in a cluster randomised controlled feasibility study. SETTING 30 primary schools in a health and demographic surveillance system in rural western Kenya. PARTICIPANTS Menstruating primary schoolgirls aged 14-16 years participating in a menstrual feasibility study. INTERVENTIONS Insertable menstrual cup, monthly sanitary pads or 'usual practice' (controls). OUTCOME MEASURES Staphylococcus aureus vaginal colonization, Escherichia coli growth on sampled used cups, toxic shock syndrome or other adverse health outcomes. RESULTS Among 604 eligible girls tested, no adverse event or TSS was detected over a median 10.9 months follow-up. S. aureusprevalence was 10.8%, with no significant difference over intervention time or between groups. Of 65 S.aureus positives at first test, 49 girls were retested and 10 (20.4%) remained positive. Of these, two (20%) sample isolates tested positive for toxic shock syndrome toxin-1; both girls were provided pads and were clinically healthy. Seven per cent of cups required replacements for loss, damage, dropping in a latrine or a poor fit. Of 30 used cups processed for E. coli growth, 13 (37.1%, 95% CI 21.1% to 53.1%) had growth. E. coli growth was greatest in newer compared with established users (53%vs22.2%, p=0.12). CONCLUSIONS Among this feasibility sample, no evidence emerged to indicate menstrual cups are hazardous or cause health harms among rural Kenyan schoolgirls, but large-scale trials and post-marketing surveillance should continue to evaluate cup safety.
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Affiliation(s)
- Jane Juma
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Elizabeth Nyothach
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Kayla F Laserson
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Clifford Oduor
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Lilian Arita
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Caroline Ouma
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Kelvin Oruko
- Center for Global Health, Kenya Medical Research Institute, Kisumu, Kenya
| | - Jackton Omoto
- Siaya District Hospital, Ministry of Health, Siaya, Kenya
| | - Linda Mason
- Liverpool School of Tropical Medicine, Liverpool, UK
| | | | - Barry Fields
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Clayton Onyango
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Beguy D, Elung'ata P, Mberu B, Oduor C, Wamukoya M, Nganyi B, Ezeh A. Health & Demographic Surveillance System Profile: The Nairobi Urban Health and Demographic Surveillance System (NUHDSS). Int J Epidemiol 2015; 44:462-71. [DOI: 10.1093/ije/dyu251] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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