Prevalence, patterns, and factors associated with tobacco use among patients with priority tobacco related illnesses at four Kenyan national referral hospitals, 2022.

Tobacco use is a risk factor for many chronic health conditions. Quantifying burden of tobacco use among people with tobacco-related illnesses (TRI) can strengthen cessation programs. This study estimated prevalence, patterns and correlates of tobacco use among patients with TRI at four national referral hospitals in Kenya. We conducted a cross-sectional study among patients with five TRI (cancer, cardiovascular diseases, cerebrovascular disease, chronic obstructive pulmonary disease, and pulmonary tuberculosis) during January-July 2022. Cases identified from medical records were interviewed on socio-demographic, tobacco use and cessation information. Descriptive statistics were used to characterize patterns of tobacco use. Multiple logistic regression models were used to identify associations with tobacco use. We identified 2,032 individuals with TRI; 46% (939/2,032) had age ≥60 years, and 61% (1,241/2,032) were male. About 45% (923/2,032) were ever tobacco users (6% percent current and 39% former tobacco users). Approximately half of smokers and 58% of smokeless tobacco users had attempted quitting in the last month; 42% through cessation counselling. Comorbidities were present in 28% of the participants. Most (92%) of the patients had been diagnosed with TRI within the previous five years. The most frequent TRI were oral pharyngeal cancer (36% [725/2,032]), nasopharyngeal cancer (12% [246/2.032]) and lung cancer (10% [202/2,032]). Patients >60 years (aOR 2.24, 95% CI: 1.84, 2.73) and unmarried (aOR 1.21, 95% CI: 1.03, 1.42) had higher odds of tobacco use. Female patients (aOR 0.35, 95% CI: 0.30, 0.41) and those with no history of alcohol use (aOR 0.27, 95% CI: 0.23, 0.31), had less odds of tobacco use. Our study shows high prevalence of tobacco use among patients with TRI in Kenya, especially among older, male, less educated, unmarried, and alcohol users. We recommend tobacco use screening and cessation programs among patients with TRI as part of clinical care.

Rethinking the syndemic of tuberculosis and dysglycaemia: a Kenyan perspective on dysglycaemia as a neglected risk factor for tuberculosis.

Background: The END TB 2035 goal has a long way to go in low-income and low/middle-income countries (LICs and LMICs) from the perspective of a non-communicable disease (NCD) control interaction with tuberculosis (TB). The World Health Organization has identified diabetes as a determinant for, and an important yet neglected risk factor for tuberculosis. National guidelines have dictated testing time points, but these tend to be at an isolated time point rather than over a period of time. This article aims to give perspective on the syndemic interaction of tuberculosis and dysglycaemia and how the gaps in addressing the two may hamper progress towards END TB 2035. Main text: Glycated haemoglobin (HbA1C) has a strong predictive association with the progression to subsequent diabetes. Therefore, screening using this measure could be a good way to screen at TB initiation therapy, in lieu of using the random blood sugar or fasting plasma glucose only. HbA1C has an observed gradient with mortality risk making it an informative predictor of outcomes. Determining the progression of dysglycaemia from diagnosis to end of treatment and shortly after may offer information on the best time point to screen and follow-up. Despite TB and Human Immunodeficiency Virus (HIV) disease care being free, hidden costs remain. These costs are additive if there is accompanying dysglycaemia. Regardless of receiving TB treatment, it is estimated that almost half of persons affected by pulmonary TB develop post-TB lung disease (PTLD) as an outcome and the contribution of dysglycaemia is not well described. Conclusions: Establishing costs of treating TB with diabetes/prediabetes alone and in the additional context of HIV co-infection will inform policy makers on what it takes, financially, to treat these patients and subsidize dysglycaemia care. In Kenya, cardiovascular disease is only rivalled by infectious disease as a cause of mortality, and diabetes is a well-described risk factor for cardiac disease. In poor countries, communicable diseases are responsible for majority of the mortality burden, but societal shifts and rural-urban migration may have contributed to the observed increase of NCDs.

Prevalence, perceptions and factors associated with menthol cigarette smoking: findings from the ITC Kenya and Zambia Surveys.

BACKGROUND: Menthol masks the harshness of cigarette smoke, promotes youth smoking and encourages health-concerned smokers who incorrectly believe that menthols are less harmful to smoke menthols. This study of smokers in Kenya and Zambia is the first study in Africa to examine menthol use, smokers' beliefs about its harmfulness and the factors associated with menthols. METHODS: Data were from the International Tobacco Control (ITC) Kenya Wave 2 (2018) and Zambia Wave 2 Survey (2014), involving nationally representative samples of smokers. This study focuses on 1246 adult smokers (644 in Kenya, 602 in Zambia) who reported smoking a usual brand of cigarettes (menthol or non-menthol). RESULTS: Overall, menthol use was significantly higher among smokers in Zambia than in Kenya (48.0% vs 19.0%), females (45.6% vs 31.2% males), non-daily smokers (43.8% vs 30.0% daily) and those who exclusively smoked factory-made (FM) cigarettes (43.0% vs 15.2%). The erroneous belief that menthols are less harmful was more likely among smokers in Zambia than in Kenya (53.4% vs 29.3%) and among female smokers (38.5% vs 28.2%). In Kenya, menthol smoking was associated with being female (adjusted odds ratios (AOR)=3.07; p=0.03), worrying about future health (AOR=2.28; p=0.02) and disagreeing with the statement that smoking was calming (AOR=2.05; p=0.04). In Zambia, menthol use was associated with being female (AOR=3.91; p=0.002), completing primary school (AOR=2.14; p=0.03), being a non-daily smoker (AOR=2.29; p=0.03), exclusively using FM cigarettes (AOR=14.7; p<0.001), having a past quit attempt (AOR=1.54; p=0.02), believing that menthols are less harmful (AOR=3.80; p<0.001) and choosing menthols because they believed it was less harmful (AOR=3.52; p<0.001). CONCLUSIONS: Menthols are highly prevalent among females in both countries. There is a need in African countries to combat the myth that menthols are less harmful and to ban menthol and other flavourings.

Quasi-experimental evaluation of Kenya's pictorial health warnings versus Zambia's single text-only warning: findings from the International Tobacco Control (ITC) Project.

BACKGROUND: Population studies in mostly high-income countries have shown that pictorial health warnings (PHWs) are much more effective than text-only warnings. This is the first quasi-experimental evaluation of the introduction of PHWs in Africa, comparing the change from text-only to PHWs in Kenya to the unchanged text-only health warning in Zambia. METHODS: Data were from International Tobacco Control (ITC) Surveys in Kenya (n=1495), and Zambia (n=1628), cohort surveys of nationally representative samples of adult smokers in each country. The ITC Kenya Survey was conducted in 2012 and 2018 (2 years after the 2016 introduction of three PHWs). The ITC Zambia Survey was conducted in 2012 and 2014 with no change to the single text-only warning. Validated indicators of health warning effectiveness (HWIs) (salience: noticing, reading; cognitive reactions: thinking about health risks, thinking about quitting; and behavioural reactions: avoiding warnings; forgoing a cigarette because of the warnings), and a summary measure-the Labels Impact Index (LII)-measured changes in warning impact between the two countries. RESULTS: PHWs implemented in Kenya led to a significant increase in all HWIs and the LII, compared with the text-only warning in Zambia. The failure to implement PHWs in Zambia led to a substantial missed opportunity to increase warning effectiveness (eg, an estimated additional 168 392 smokers in Zambia would have noticed the warnings). CONCLUSIONS: The introduction of PHWs in Kenya substantially increased the effectiveness of warnings. These results provide strong empirical support for 34 African countries that still have text-only warnings, of which 31 are Parties of the Framework Convention on Tobacco Control and are thus obligated to implement PHWs.

Determinants of household catastrophic costs for drug sensitive tuberculosis patients in Kenya.

BACKGROUND: Despite free diagnosis and treatment for tuberculosis (TB), the costs during treatment impose a significant financial burden on patients and their households. The study sought to identify the determinants for catastrophic costs among patients with drug-sensitive TB (DSTB) and their households in Kenya. METHODS: The data was collected during the 2017 Kenya national patient cost survey from a nationally representative sample (n = 1071). Treatment related costs and productivity losses were estimated. Total costs exceeding 20% of household income were defined as catastrophic and used as the outcome. Multivariable Poisson regression analysis was performed to measure the association between selected individual, household and disease characteristics and occurrence of catastrophic costs. A deterministic sensitivity analysis was carried using different thresholds and the significant predictors were explored. RESULTS: The proportion of catastrophic costs among DSTB patients was 27% (n = 294). Patients with catastrophic costs had higher median productivity losses, 39 h [interquartile range (IQR): 20-104], and total median costs of USD 567 (IQR: 299-1144). The incidence of catastrophic costs had a dose response with household expenditure. The poorest quintile was 6.2 times [95% confidence intervals (CI): 4.0-9.7] more likely to incur catastrophic costs compared to the richest. The prevalence of catastrophic costs decreased with increasing household expenditure quintiles (proportion of catastrophic costs: 59.7%, 32.9%, 23.6%, 15.9%, and 9.5%) from the lowest quintile (Q1) to the highest quintile (Q5). Other determinants included hospitalization: prevalence ratio (PR) = 2.8 (95% CI: 1.8-4.5) and delayed treatment: PR = 1.5 (95% CI: 1.3-1.7). Protective factors included receiving care at a public health facility: PR = 0.8 (95% CI: 0.6-1.0), and a higher body mass index (BMI): PR = 0.97 (95% CI: 0.96-0.98). Pre TB expenditure, hospitalization and BMI were significant predictors in all sensitivity analysis scenarios. CONCLUSIONS: There are significant inequities in the occurrence of catastrophic costs. Social protection interventions in addition to existing medical and public health interventions are important to implement for patients most at risk of incurring catastrophic costs.

Identifying factors associated with quit intentions among smokers from two nationally representative samples in Africa: Findings from the ITC Kenya and Zambia Surveys.

It is well established that intentions to quit smoking is the strongest predictor of future quit attempts. However, most studies on quit intentions have been conducted in high-income countries with very few in low- and middle-income countries particularly in Africa. This is the first population-based study to compare factors associated with quit intentions among smokers in two African countries. Data were from the International Tobacco Control (ITC) Kenya and Zambia Surveys (2012), face-to-face surveys of nationally representative samples of 2291 adult smokers (Kenya = 1103; Zambia = 1188). Multivariate logistic regression analyses were conducted to identify predictors of quit intentions. Most Kenyan (65.1%) and Zambian (69.1%) smokers had quit intentions of which 54.8% planned to quit within the next 6 months. Five factors were significantly associated with quit intentions in both countries: being younger, having tried to quit previously, perceiving that quitting is beneficial to health, worrying about future health consequences of smoking, and being low in nicotine dependence. The predictive strength of these factors did not differ in the two countries. Four additional factors were significant predictors in Zambia only: having a quit attempt lasting six months or more, lower smoking enjoyment, having a negative opinion about smoking, and concern about cigarette expenses. The factors predicting quit intentions were similar to those in other ITC countries including Canada, US, UK, China and Mauritius. These findings highlight the need for stronger tobacco control policies in Kenya and Zambia including increased taxation, greater access to cessation services, and anti-smoking campaigns denormalizing tobacco use.

Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya.

BACKGROUND: We aimed to determine the prevalence of pulmonary TB amongst the adult population (≥15 years) in 2016 in Kenya. METHOD: A nationwide cross-sectional survey where participants first underwent TB symptom screening and chest x-ray. Subsequently, participants who reported cough >2weeks and/or had a chest x-ray suggestive of TB, submitted sputum specimen for laboratory examination by smear microscopy, culture and Xpert MTB/RIF. RESULT: The survey identified 305 prevalent TB cases translating to a prevalence of 558 [95%CI 455-662] per 100,000 adult population. The highest disease burden was reported among people aged 25-34 years (716 [95% CI 526-906]), males (809 [(95% CI 656-962]) and those who live in urban areas (760 [95% CI 539-981]). Compared to the reported TB notification rate for Kenya in 2016, the prevalence to notification ratio was 2.5:1. The gap between the survey prevalence and notification rates was highest among males, age groups 25-34, and the older age group of 65 years and above. Only 48% of the of the survey prevalent cases reported cough >2weeks. In addition, only 59% of the identified cases had the four cardinal symptoms for TB (cough ≥2 weeks, fever, night sweat and weight loss. However, 88.2% had an abnormal chest x-ray suggestive of TB. The use of Xpert MTB/RIF identified 77.7% of the cases compared to smear microscopy's 46%. Twenty-one percent of the survey participants with respiratory symptoms reported to have sought prior health care at private clinics and chemists. Among the survey prevalent cases who reported TB related symptoms, 64.9% had not sought any health care prior to the survey. CONCLUSION: This survey established that TB prevalence in Kenya is higher than had been estimated, and about half of the those who fall ill with the disease each year are missed.

The effects on tuberculosis treatment adherence from utilising community health workers: a comparison of selected rural and urban settings in Kenya.

INTRODUCTION: Community Health Workers (CHWs) have been utilised for various primary health care activities in different settings especially in developing countries. Usually when utilised in well defined terms, they have a positive impact. To support Kenya's policy on engagement of CHWs for tuberculosis (TB) control, there is need to demonstrate effects of utilising them. OBJECTIVES: This study assessed TB treatment adherence among patients who utilised CHWs in management of their illness in comparison to those who did not in urban and rural settings. METHODS: A retrospective cohort study was conducted in selected health facilities using standard clinical records for each TB patient registered for treatment between 2005 to 2011. Qualitative data was collected from CHWs and health care providers. RESULTS: The study assessed 2778 tuberculosis patients and among them 1499 (54%) utilized CHWs for their TB treatment. The urban setting in comparison with the rural setting contributed 70% of patients utilising the CHWs (p<0.001). Overall treatment adherence of the cohort was 79%. Categorizing by use of CHWs, adherence among patients who had utilized CHWs was 83% versus 68% among those that had not (p<0.001). In comparison between the rural and urban settings adherence was 76% and 81.5% (p<0.001) respectively and when categorized by use of CHWs it was 73% and 90% (p<0.001) for the rural and urban set ups respectively. Utilisation of CHWs remained significant in enhancing treatment adherence in the cohort with unadjusted and adjusted ORs; OR 2.25, (95% 1.86-2.73) p<0.001 and OR 1.98 (95% 1.51-2.5) p<0.001 respectively. It was most effective in the urban set-up, OR 2.65 (95% 2.02-3.48, p<0.001) in comparison to the rural set up, OR 0.74 (95% 0.56-0.97) p = 0.032. CONCLUSION: Utilisation of CHWs enhanced TB treatment adherence and the best effects were in the urban set-up.