Last data update: May 13, 2024. (Total: 46773 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Mutai KK[original query] |
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The influence of mobility among high-risk populations on HIV transmission in Western Kenya
Bershteyn A , Mutai KK , Akullian AN , Klein DJ , Jewell BL , Mwalili SM . Infect Dis Model 2018 3 97-106 Western Kenya suffers a highly endemic and also very heterogeneous epidemic of human immunodeficiency virus (HIV). Although female sex workers (FSW) and their male clients are known to be at high risk for HIV, HIV prevalence across regions in Western Kenya is not strongly correlated with the fraction of women engaged in commercial sex. An agent-based network model of HIV transmission, geographically stratified at the county level, was fit to the HIV epidemic, scale-up of interventions, and populations of FSW in Western Kenya under two assumptions about the potential mobility of FSW clients. In the first, all clients were assumed to be resident in the same geographies as their interactions with FSW. In the second, some clients were considered non-resident and engaged only in interactions with FSW, but not in longer-term non-FSW partnerships in these geographies. Under both assumptions, the model successfully reconciled disparate geographic patterns of FSW and HIV prevalence. Transmission patterns in the model suggest a greater role for FSW in local transmission when clients were resident to the counties, with 30.0% of local HIV transmissions attributable to current and former FSW and clients, compared to 21.9% when mobility of clients was included. Nonetheless, the overall epidemic drivers remained similar, with risky behavior in the general population dominating transmission in high-prevalence counties. Our modeling suggests that co-location of high-risk populations and generalized epidemics can further amplify the spread of HIV, but that large numbers of formal FSW and clients are not required to observe or mechanistically explain high HIV prevalence in the general population. Copyright © 2018 |
Barriers influencing linkage to hypertension care in Kenya: Qualitative analysis from the LARK Hypertension Study
Naanyu V , Vedanthan R , Kamano JH , Rotich JK , Lagat KK , Kiptoo P , Kofler C , Mutai KK , Bloomfield GS , Menya D , Kimaiyo S , Fuster V , Horowitz CR , Inui TS . J Gen Intern Med 2016 31 (3) 304-14 BACKGROUND: Hypertension, the leading global risk factor for mortality, is characterized by low treatment and control rates in low- and middle-income countries. Poor linkage to hypertension care contributes to poor outcomes for patients. However, specific factors influencing linkage to hypertension care are not well known. OBJECTIVE: To evaluate factors influencing linkage to hypertension care in rural western Kenya. DESIGN: Qualitative research study using a modified Health Belief Model that incorporates the impact of emotional and environmental factors on behavior. PARTICIPANTS: Mabaraza (traditional community assembly) participants (n = 242) responded to an open invitation to residents in their respective communities. Focus groups, formed by purposive sampling, consisted of hypertensive individuals, at-large community members, and community health workers (n = 169). APPROACH: We performed content analysis of the transcripts with NVivo 10 software, using both deductive and inductive codes. We used a two-round Delphi method to rank the barriers identified in the content analysis. We selected factors using triangulation of frequency of codes and themes from the transcripts, in addition to the results of the Delphi exercise. Sociodemographic characteristics of participants were summarized using descriptive statistics. KEY RESULTS: We identified 27 barriers to linkage to hypertension care, grouped into individual (cognitive and emotional) and environmental factors. Cognitive factors included the asymptomatic nature of hypertension and limited information. Emotional factors included fear of being a burden to the family and fear of being screened for stigmatized diseases such as HIV. Environmental factors were divided into physical (e.g. distance), socioeconomic (e.g. poverty), and health system factors (e.g. popularity of alternative therapies). The Delphi results were generally consistent with the findings from the content analysis. CONCLUSIONS: Individual and environmental factors are barriers to linkage to hypertension care in rural western Kenya. Our analysis provides new insights and methodological approaches that may be relevant to other low-resource settings worldwide. |
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