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1.
JMIR Med Educ ; 7(1): e18956, 2021 Jan 08.
Article in English | MEDLINE | ID: mdl-33416507

ABSTRACT

BACKGROUND: In 2014, Kenya's Field Epidemiology and Laboratory Training Program (FELTP) initiated a 3-month field-based frontline training, Field Epidemiology Training Program (FETP-F), for local public health workers. OBJECTIVE: This study aimed to measure the effect of FETP-F on participant workplace practices regarding quality and consistency of public health data, critical interaction with public health data, and improvements in on-time reporting (OTR). METHODS: Between February and April 2017, FELTP conducted a mixed methods evaluation via online survey to examine outcomes achieved among all 215 graduates from 2014 and 2015. Data quality assessment (DQA) and data consistency assessment (DCA) scores, OTR percentages, and ratings of the training experience were the quantitative measures tracked from baseline and then at 6-month intervals up to 18 months postcompletion of the training. The qualitative component consisted of semistructured face-to-face interviews and observations. Quantitative data were analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Qualitative data were transcribed and analyzed to identify key themes and dimensions. RESULTS: In total, 103 (47%) graduates responded to the survey. Quantitative analyses showed that the training significantly increased the mean DQA and OTR scores but there was a nonsignificant increase in mean DCA scores. Qualitative analyses found that 68% of respondents acquired new skills, 83% applied those skills to their day-to-day work, and 91% improved work methods. CONCLUSIONS: FETP-F improved overall data quality and OTR at the agency level but had minimal impact on data consistency between local, county, and national public health agencies. Participants reported that they acquired practical skills that improved data collation and analysis and OTR.

2.
PLoS One ; 15(10): e0239578, 2020.
Article in English | MEDLINE | ID: mdl-33031456

ABSTRACT

BACKGROUND: Prevalence of Prevalence of malaria in pregnancy (MiP) in Kenya ranges from 9% to 18%. We estimated the prevalence and factors associated with MiP and anemia in pregnancy (AiP) among asymptomatic women attending antenatal care (ANC) visits. METHODS: We performed a cross-sectional study among pregnant women attending ANC at Msambweni Hospital, between September 2018 and February 2019. Data was collected and analyzed in Epi Info 7. Descriptive statistics were calculated and we compared MiP and AiP in asymptomatic cases to those without either condition. Adjusted prevalence Odds odds ratios (aPOR) and 95% confidence intervals (CI) were calculated to identify factors associated with asymptomatic MiP and AiP. RESULTS: We interviewed 308 study participants; their mean age was 26.6 years (± 5.8 years), mean gestational age was 21.8 weeks (± 6.0 weeks), 173 (56.2%) were in the second trimester of pregnancy, 12.9% (40/308) had MiP and 62.7% had AiP. Women who were aged ≤ 20 years had three times likelihood of developing MiP (aPOR = 3.1 Cl: 1.3-7.35) compared to those aged >20 years old. The likelihood of AiP was higher among women with gestational age ≥ 16 weeks (aPOR = 3.9, CI: 1.96-7.75), those with parasitemia (aPOR = 3.3, 95% CI: 1.31-8.18), those in third trimester of pregnancy (aPOR = 2.6, 95% CI:1.40-4.96) and those who reported eating soil as a craving during pregnancy (aPOR = 1.9, 95%CI:1.15-3.29). CONCLUSIONS: Majority of the women had asymptomatic MiP and AiP. MiP was observed in one tenth of all study participants. Asymptomatic MiP was associated with younger age while AiP was associated with gestational age parasitemia, and soil consumption as a craving during pregnancy.


Subject(s)
Anemia/epidemiology , Asymptomatic Diseases/epidemiology , Hospitals/statistics & numerical data , Malaria, Falciparum/epidemiology , Plasmodium falciparum/physiology , Pregnancy Complications, Parasitic/epidemiology , Prenatal Care/statistics & numerical data , Adult , Cross-Sectional Studies , Female , Humans , Kenya , Pregnancy , Prevalence , Risk Factors , Young Adult
3.
BMC Infect Dis ; 20(1): 432, 2020 Jun 22.
Article in English | MEDLINE | ID: mdl-32571230

ABSTRACT

BACKGROUND: Identification of people living with HIV is key in HIV prevention and control. Partner Notification service is a World Health Organization backed strategy of reaching out to sexual partners of people diagnosed with HIV for HIV testing. However, its adoption and success rate in Kenya remains unknown. METHODS: A cross sectional facility based study was undertaken in five purposely selected health facilities in Gatanga Sub county, Muranga County, Kenya. A retrospective review of patient medical records data for HIV positive index clients and their Sexual Partners conducted. Census approach was applied to extract data for study subjects from Partner Notification Services registers for the period covering January 2017 to August 2018. Epi Info software was used for data analysis. RESULTS: A total of 183 index clients were offered Partner notification services. The mean age of the indexed clients studied was 39(SD ±13.1). Females comprised 64% of clients studied. Of the 183 indexed clients, 89% accepted the services and elicited 216 sexual partners for tracing. The ratio of elicited sexual partners to index client was 1.3:1. Out of the 216 sexual partners, 77% were reached and tested. A total of 46 [32%] of the sexual partners elicited and traced, tested HIV positive. The most preferred approaches were provider referral (51%) and contract referral (45%). Dual referral (4%) was the least preferred approach. CONCLUSIONS: Assisted Partner notification services is acceptable and an effective strategy of increasing HIV case identification and raising awareness to exposed sexual partners in low resource countries.


Subject(s)
Contact Tracing/statistics & numerical data , HIV Infections/diagnosis , Sexual Partners , Adult , Cross-Sectional Studies , Female , HIV Infections/psychology , Health Facilities/statistics & numerical data , Humans , Kenya , Male , Medical Records , Middle Aged , Referral and Consultation , Retrospective Studies , Young Adult
4.
Pan Afr Med J ; 29: 90, 2018.
Article in English | MEDLINE | ID: mdl-29875971

ABSTRACT

INTRODUCTION: Metabolic syndrome affects 20-25% of the adult population globally. It predisposes to cardiovascular disease and Type 2 diabetes. Studies in other countries suggest a high prevalence of metabolic syndrome among HIV-infected patients but no studies have been reported in Kenya. The objective of this study was to assess the prevalence and factors associated with metabolic syndrome in adult HIV-infected patients in an urban population in Nairobi, Kenya. METHODS: In a cross-sectional study design, conducted at Riruta Health Centre in 2016, 360 adults infected with HIV were recruited. A structured questionnaire was used to collect data on socio-demography. Blood was collected by finger prick for fasting glucose and venous sampling for lipid profile. RESULTS: Using the harmonized Joint Scientific Statement criteria, metabolic syndrome was present in 19.2%. The prevalence was higher among females than males (20.7% vs. 16.0%). Obesity (AOR = 5.37, P < 0.001), lack of formal education (AOR = 5.20, P = 0.002) and family history of hypertension (AOR = 2.06, P = 0.029) were associated with increased odds of metabolic syndrome while physical activity (AOR = 0.28, P = 0.001) was associated with decreased odds. CONCLUSION: Metabolic syndrome is prevalent in this study population. Obesity, lack of formal education, family history of hypertension, and physical inactivity are associated with metabolic syndrome. Screening for risk factors, promotion of healthy lifestyle, and nutrition counselling should be offered routinely in HIV care and treatment clinics.


Subject(s)
Exercise , HIV Infections/complications , Metabolic Syndrome/epidemiology , Urban Population , Adolescent , Adult , Cross-Sectional Studies , Educational Status , Female , Humans , Kenya/epidemiology , Male , Metabolic Syndrome/etiology , Middle Aged , Obesity/epidemiology , Prevalence , Risk Factors , Sex Factors , Surveys and Questionnaires , Young Adult
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