"So let me give you money, you give me what I want": decision-making priorities around contraceptive method and source choice among young women in Kenya.

BACKGROUND: Many factors influence young women's choice of contraceptive methods and where to source them, yet less is known about whether one of these choices (method or source) is prioritized and the relationship between these choices. This study qualitatively explored decision-making around contraceptive method and source choice among young women in Kenya. METHODS: In August-September 2019, 30 in-depth interviews were conducted with women ages 18-24 who had used two or more contraceptive methods and resided in three counties: Nairobi, Mombasa or Migori. Participants were recruited from public and private health facilities and pharmacies. Interview guides captured information about decision-making processes for each contraceptive method the respondent had ever used. Responses were audio-recorded, transcribed, translated into English, coded, and analyzed thematically. RESULTS: The majority of respondents knew which method they wanted to use prior to seeking it from a source. This was true for all types of methods that women ever used. Of the small number of respondents who selected their source first, most were in the post-partum period or experiencing side effects and sought counseling at a source before choosing a method. CONCLUSIONS: This study highlights the importance of providing young women with high quality counseling that provides full information about contraceptive options and addresses that young women's needs vary along the reproductive health continuum of care. This will ensure that young women have information to inform future contraceptive decision-making prior to seeking care.

Contraceptive method use trajectories among young women in Kenya: A qualitative study.

Background: Many young women experience important key life transitions during adolescence and early adulthood, such as initiation of sexual activity, first use of contraceptives, marriage, and childbirth. For young women to be able to plan and manage their lives, it is critical to understand how these life events intersect and shape their contraceptive decision-making. This study aims to explore young women's contraceptive method use trajectories, including the factors that influence contraceptive decision-making throughout adolescence and youth. Methodology: In 2019, the Full Access, Full Choice project (FAFC), implemented by the University of North Carolina at Chapel Hill and the African Institute for Development Policy, conducted 30 in-depth interviews with young women aged 18-24 years in three counties in Kenya (Nairobi, Mombasa and Migori). Eligible respondents had used two or more modern contraceptive methods. Interview guides utilized a modified life history approach to capture details about respondents' contraceptive use and life experiences from the time they first used contraception until the time of interview. Results: We identified five separate contraceptive use trajectories based on the occurrence and timing of marriage, childbirth, and contraceptive method choice as well as various influences on contraceptive decision-making. The majority of respondents began their contraceptive journey by using male condoms or emergency contraception, but subsequent contraceptive decisions were varied across trajectories and influenced by different factors. For many women, the initiation of a non-coitally dependent method occurred after the birth of a child; for some, this was the first method used. Once women transitioned to using a non-coitally dependent method such as injectables or implants, many cycled through different methods to find one that had fewer side effects or provided the desired duration of protection. Discussion: This study highlights the nuanced needs of young women throughout their adolescent and youth years in Kenya. This suggests that programs and policies need to encompass young women's diversity of experiences and motivations to best serve them.

Perceptions of peer contraceptive use and its influence on contraceptive method use and choice among young women and men in Kenya: a quantitative cross-sectional study.

BACKGROUND: Prior research has established that an individual's social environment may influence his or her reproductive behaviors, yet less is known about peer influence on contraceptive use among young people (ages 15-24). In Kenya, the site of this study, 15% of adolescents ages 15-19 have begun childbearing and 45% of sexually active young women report current use of a modern contraceptive method. This highlights the need to better understand what factors influence young people to use contraception. The objective of this study is to explore the relationship between the perception of peers' use of contraceptives and contraceptive use and method choice among young men and women in Kenya. METHODS: This study utilizes a nationally representative sample of women and men aged 15-24 years from the 2018 and 2019 cross sectional Shujaaz State of the Kenyan Youth annual surveys. Among the sample of sexually experienced young people (59%), multivariable multinomial logistic regression was used to explore the association between the perception of peers' use of contraceptives and the respondent's contraceptive method choice: non-user, condom use or use of any other modern method. Results are presented separately for young men and young women. RESULTS: Our results show that sexually experienced young men and women who perceive that their peers are using contraceptives are more likely to report current use of condoms compared to being a nonuser (RRR = 2.12, p < 0.001, RRR = 2.59, p < 0.001, respectively); they are also more likely to use condoms than another modern method of contraception (RRR = 2.13, p = 0.034, RRR = 1.71, p = 0.014, respectively). Young women are more likely to use another modern method (not including condoms) than be a nonuser when they perceive that their peers' use contraceptives (RRR = 1.51, p = 0.020). CONCLUSIONS: The results of this study highlight the important role of peer influence on young people's contraceptive choices. These findings can be used to develop programs that encourage behavior change communication activities in Kenya that focus on normalizing use of a full range of contraceptive methods among peer groups of sexually experienced young people.

In Kenya, about 15% of women age 15­19 have already had a birth and approximately one third of these women did not want to have a child at that time. Yet about 45% of sexually active women ages 15­24 report that they currently use family planning (FP). Among young people, friends and peers are an important influence on behaviors.This study focused on a representative sample from Kenya of female and male youth (ages 15­24) who ever had sex. Men and women were asked questions about use of FP, if they think their peers use FP and about characteristics such as age and education.The results showed that young women and men who believed their peers use FP were more likely to use FP themselves. Also, young men and women who believed that peers use FP were more likely to use condoms than not use any FP and more likely to use condoms than to use another modern method of FP. Young women who thought their peers use were more likely to use another modern method (not including condoms) than to be a nonuser of FP.Programs targeting young people should include information on a range of FP methods and aim to include groups of peers and encourage open discussion.

Healthcare-seeking behaviour for common infectious disease-related illnesses in rural Kenya: a community-based house-to-house survey.

Community surveys of healthcare-use determine the proportion of illness episodes not captured by health facility-based surveillance, the methodology used most commonly to estimate the burden of disease in Africa. A cross-sectional survey of households with children aged less than five years was conducted in 35 of 686 census enumeration areas in rural Bondo district, western Kenya. Healthcare sought for acute episodes of diarrhoea or fever in the past two weeks or pneumonia in the past year was evaluated. Factors associated with healthcare-seeking were analyzed by logistic regression accounting for sample design. In total, 6,223 residents of 981 households were interviewed. Of 1,679 children aged less than five years, 233 (14%) had diarrhoea, and 736 (44%) had fever during the past two weeks; care at health facilities was sought for one-third of these episodes. Pneumonia in the past year was reported for 64 (4%) children aged less than five years; 88% sought healthcare at any health facility and 48% at hospitals. Seeking healthcare at health facilities was more likely for children from households with higher socioeconomic status and with more symptoms of severe illness. Health facility and hospital-based surveillance would underestimate the burden of disease substantially in rural western Kenya. Seeking healthcare at health facilities and hospitals varied by syndrome, severity of illness, and characteristics of the patient.

A census-weighted, spatially-stratified household sampling strategy for urban malaria epidemiology.

BACKGROUND: Urban malaria is likely to become increasingly important as a consequence of the growing proportion of Africans living in cities. A novel sampling strategy was developed for urban areas to generate a sample simultaneously representative of population and inhabited environments. Such a strategy should facilitate analysis of important epidemiological relationships in this ecological context. METHODS: Census maps and summary data for Kisumu, Kenya, were used to create a pseudo-sampling frame using the geographic coordinates of census-sampled structures. For every enumeration area (EA) designated as urban by the census (n = 535), a sample of structures equal to one-tenth the number of households was selected. In EAs designated as rural (n = 32), a geographically random sample totalling one-tenth the number of households was selected from a grid of points at 100 m intervals. The selected samples were cross-referenced to a geographic information system, and coordinates transferred to handheld global positioning units. Interviewers found the closest eligible household to the sampling point and interviewed the caregiver of a child aged < 10 years. The demographics of the selected sample were compared with results from the Kenya Demographic and Health Survey to assess sample validity. Results were also compared among urban and rural EAs. RESULTS: 4,336 interviews were completed in 473 of the 567 study area EAs from June 2002 through February 2003. EAs without completed interviews were randomly distributed, and non-response was approximately 2%. Mean distance from the assigned sampling point to the completed interview was 74.6 m, and was significantly less in urban than rural EAs, even when controlling for number of households. The selected sample had significantly more children and females of childbearing age than the general population, and fewer older individuals. CONCLUSION: This method selected a sample that was simultaneously population-representative and inclusive of important environmental variation. The use of a pseudo-sampling frame and pre-programmed handheld GPS units is more efficient and may yield a more complete sample than traditional methods, and is less expensive than complete population enumeration.

Quantitative urban classification for malaria epidemiology in sub-Saharan Africa.

BACKGROUND: Although sub-Saharan Africa (SSA) is rapidly urbanizing, the terms used to classify urban ecotypes are poorly defined in the context of malaria epidemiology. Lack of clear definitions may cause misclassification error, which likely decreases the accuracy of continent-wide estimates of malaria burden, limits the generalizability of urban malaria studies, and makes identification of high-risk areas for targeted interventions within cities more difficult. Accordingly, clustering techniques were applied to a set of urbanization- and malaria-related variables in Kisumu, Kenya, to produce a quantitative classification of the urban environment for malaria research. METHODS: Seven variables with a known or expected relationship with malaria in the context of urbanization were identified and measured at the census enumeration area (EA) level, using three sources: a) the results of a citywide knowledge, attitudes and practices (KAP) survey; b) a high-resolution multispectral satellite image; and c) national census data. Principal components analysis (PCA) was used to identify three factors explaining higher proportions of the combined variance than the original variables. A k-means clustering algorithm was applied to the EA-level factor scores to assign EAs to one of three categories: "urban," "peri-urban," or "semi-rural." The results were compared with classifications derived from two other approaches: a) administrative designation of urban/rural by the census or b) population density thresholds. RESULTS: Urban zones resulting from the clustering algorithm were more geographically coherent than those delineated by population density. Clustering distributed population more evenly among zones than either of the other methods and more accurately predicted variation in other variables related to urbanization, but not used for classification. CONCLUSION: Effective urban malaria epidemiology and control would benefit from quantitative methods to identify and characterize urban areas. Cluster analysis techniques were used to classify Kisumu, Kenya, into levels of urbanization in a repeatable and unbiased manner, an approach that should permit more relevant comparisons among and within urban areas. To the extent that these divisions predict meaningful intra-urban differences in malaria epidemiology, they should inform targeted urban malaria interventions in cities across SSA.