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1.
South Afr J HIV Med ; 23(1): 1353, 2022.
Article in English | MEDLINE | ID: mdl-35706549

ABSTRACT

Background: In 2009, Kenyatta National Hospital (KNH) integrated cervical cancer screening within HIV care using visual inspection with acetic acid (VIA) and Pap smear cytology. Objectives: We evaluated utilisation of cervical cancer screening and human papillomavirus (HPV) vaccination among women living with HIV (WLHIV) receiving HIV care at KNH. Method: From November 2019 to February 2020, WLHIV aged ≥ 14 years were invited to participate in a survey following receipt of routine HIV services. We assessed awareness of cervical cancer, uptake of cervical cancer screening, uptake of the HPV vaccine, and barriers to utilisation of these services. In a subset of survey participants, focus group discussions (FGDs) were also conducted to identify screening barriers. Results: Overall, 305 WLHIV participated in the survey. Median age was 36 years (interquartile range [IQR]: 28-43), 41% were married, and 38% completed secondary education. Most (90%) had HIV RNA < 1000 copies/mL. Awareness of cervical cancer was high (84%), although only 45% of WLHIV had screened for cervical cancer at the referral hospital and only 13% knew how to prevent high-risk HPV. No participants had received an HPV vaccination. Older age, higher education, and knowledge of the HPV vaccine were associated with higher likelihood of cervical cancer screening (P < 0.05). In FGDs, barriers to utilising the services included user fees, fear of the procedure impacting fertility, age and gender of the provider, and long waiting times. Conclusion: Despite integration with HIV services, the utilisation of cervical cancer screening was low among WLHIV and implementation barriers contributed to low utilisation.

2.
BMC Res Notes ; 9: 12, 2016 Jan 05.
Article in English | MEDLINE | ID: mdl-26732585

ABSTRACT

BACKGROUND: Peripheral public health facilities remain the most frequented by the majority of the population in Kenya; yet remain sub-optimally equipped and not optimized for non-communicable diseases care. DESIGN AND METHODOLOGY: We undertook a descriptive, cross sectional study among ambulatory type 2 diabetes mellitus clients, attending Kenyatta National Referral Hospital (KNH), and Thika District Hospital (TDH) in Central Kenya. Systematic random sampling was used. HbA1c was assessed for glycemic control and the following, as markers of quality of care: direct client costs, clinic appointment interval and frequency of self monitoring test, affordability and satisfaction with care. RESULTS: We enrolled 200 clients, (Kenyatta National Hospital 120; Thika District Hospital 80); Majority of the patients 66.5% were females, the mean age was 57.8 years; and 58% of the patients had basic primary education. 67.5% had diabetes for less than 10 years and 40% were on insulin therapy. The proportion (95% CI) with good glycemic was 17% (12.0-22.5 respectively) in the two facilities [Kenyatta National Hospital 18.3% (11.5-25.6); Thika District Hospital 15% (CI 7.4-23.7); P = 0.539]. However, in Thika District Hospital clients were more likely to have a clinic driven routine urinalysis and weight, they were also accorded shorter clinic appointment intervals; incurred half to three quarter lower direct costs, and reported greater affordability and satisfactions with care. CONCLUSION: In conclusion, we demonstrate that in Thika district hospital, glycemic control and diabetic care is suboptimal; but comparable to that of Kenyatta National Referral hospital. Opportunities for improvement of care abound at peripheral health facilities.


Subject(s)
Ambulatory Care/standards , Diabetes Mellitus, Type 2/complications , Hyperglycemia/complications , Quality of Health Care/standards , Referral and Consultation/standards , Tertiary Care Centers/standards , Demography , Diabetes Mellitus, Type 2/economics , Female , Glycated Hemoglobin/metabolism , Health Services Accessibility , Humans , Hyperglycemia/economics , Kenya , Male , Medication Adherence , Middle Aged , Multivariate Analysis , Patient Satisfaction
3.
BMC Public Health ; 15: 733, 2015 Jul 31.
Article in English | MEDLINE | ID: mdl-26227658

ABSTRACT

BACKGROUND: Socioeconomic determinants have been shown to have an effect on the progression of HIV disease evidenced by studies carried out largely in developed countries. Knowledge of these factors could inform on prioritization of populations during scale up of highly active antiretroviral therapy (HAART) constrained health systems. The objective of this study was to identify socioeconomic correlates of HIV disease progression in an adult Kenyan population. METHODS: We analysed data from 312 HIV positive individuals, drawn from a cohort enrolled in a randomized clinical trial investigating the effectiveness of Acyclovir in the prevention of HIV transmission among serodiscordant couples. In this study we included individuals with CD4 counts ≥ 350 cells/mm(3) and World Health Organization (WHO), clinical stage one or two. The exposure variables measured were: - daily household income available for expenditure, age, gender, housing type and level of formal education. We used a composite outcome of disease progression to WHO clinical stage 3 or 4 or a laboratory outcome of CD4 count below 350 cells/mm(3) after two years of follow-up. Logistic regression was used to determine associations of variables that were found to be significant at univariate analysis, and to control for potential confounders. RESULTS: Seventy eight (25 %) individuals reported HIV disease progression. Majority (79.9 %) were female. The median age was 30 year and 93.6 % had attained a primary level of education. Median CD4 at enrolment into the clinical trial was 564 cells/mm(3); those who had disease progression were enrolled with a significantly (p < 0.001) lower CD4 count. Daily household income available for expenditure adjusted for CD4 count at enrolment was associated significantly (p = 0.04) with HIV disease progression. Disease progression was five times more likely to occur in study subjects with daily income available for expenditure of less than US$1 compared to those with more than US$ 5 available for daily expenditure [adjusted Odds Ratio 4.6 (95 % Confidence Interval 1.4-14.4)]. Disease progression was not associated with age, gender, type of housing or level of education attained (p < 0.05). CONCLUSION: Populations with low household incomes should be considered vulnerable to disease progression and should therefore be prioritized during the scale up of HAART for treatment as prevention.


Subject(s)
Acyclovir/administration & dosage , Anti-HIV Agents/administration & dosage , Antiretroviral Therapy, Highly Active/methods , HIV Infections/drug therapy , Marriage/statistics & numerical data , Adult , CD4 Lymphocyte Count , Disease Progression , Female , HIV Infections/epidemiology , Humans , Income , Kenya/epidemiology , Male , Middle Aged , Odds Ratio , Socioeconomic Factors
4.
BMC Public Health ; 13: 371, 2013 Apr 20.
Article in English | MEDLINE | ID: mdl-23601475

ABSTRACT

BACKGROUND: Urban slum populations in Africa continue to grow faster than national populations. Health strategies that focus on non-communicable diseases (NCD) in this segment of the population are generally lacking. We determined the prevalence of diabetes and associated cardiovascular disease (CVD) risk factors correlates in Kibera, Nairobi's largest slum. METHODS: We conducted a population-based household survey utilising cluster sampling with probability proportional to size. Households were selected using a random walk method and consenting residents aged 18 years and above were recruited. The WHO STEPS instrument was administered. A random capillary blood sugar (RCBS) was obtained; known persons with diabetes and subjects with a RCBS >11.1 had an 8 hours fasting blood sugar (FBS) drawn. Diabetes was defined as a RCBS of ≥ 11.1 mmol/l and a FBS of ≥ 7.0 mmol/l, or a prior diagnosis or receiving diabetes drug treatment. RESULTS: Out of 2061 enrolled; 50.9% were males, mean age was 33.4 years and 87% had a minimum of primary education. Only 10.6% had ever had a blood sugar measurement. Age adjusted prevalence of diabetes was 5.3% (95% CI 4.2-6.4) and prevalence increased with age peaking at 10.5% (95% CI 6.8-14.3%) in the 45-54 year age category. Diabetes mellitus (DM) correlates were: 13.1% smoking, 74.9% alcohol consumption, 75.7% high level of physical activity; 16.3% obese and 29% overweight with higher rates in women.Among persons with diabetes the odds of obesity, elevated waist circumference and hypertension were three, two and three fold respectively compared to those without diabetes. Cardiovascular risk factors among subjects with diabetes were high and mirrored that of the entire sample; however they had a significantly higher use of tobacco. CONCLUSIONS: This previously unstudied urban slum has a high prevalence of DM yet low screening rates. Key correlates include cigarette smoking and high alcohol consumption. However high levels of physical activity were also reported. Findings have important implications for NCD prevention and care. For this rapidly growing youthful urban slum population policy makers need to focus their attention on strategies that address not just communicable diseases but non communicable diseases as well.


Subject(s)
Diabetes Mellitus/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Alcohol Drinking/epidemiology , Body Mass Index , Female , Humans , Hypertension/epidemiology , Kenya/epidemiology , Male , Middle Aged , Motor Activity , Overweight/epidemiology , Poverty Areas , Prevalence , Risk Factors , Smoking/epidemiology , Socioeconomic Factors , Urban Population , Young Adult
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