Determinants of harmful use of alcohol among urban slum dwelling adults in Kenya

Gitatui, Mariam; Kimani, Samuel; Muniu, Samuel; Okube, Okubatsion Tekeste

doi:10.4314/ahs.v19i4.12

Cited by 17 publications

(13 citation statements)

References 87 publications

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“…Previous studies in Nairobi, Nakuru and Kericho [ 13 , 14 ] as well as systemic reviews in African region [ 26 , 27 ] have similarly demonstrated that alcohol use is a major risk factor for TB treatment interruption. Of concern is that alcohol is consumed by a group of people often in enclosed places [ 28 ]. This confers a great risk of prolonged community TB transmission since the enclosed places are usually overcrowded and poorly ventilated.…”

Section: Discussionmentioning

confidence: 99%

Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya

Wekunda¹,

Aduda

Guyah

2021

PLoS ONE

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Background Despite robust Tuberculosis (TB) program with effective chemotherapy and high coverage, treatment interruption remains a serious problem. Interrupting TB treatment means that patients remain infectious for longer time and are at risk of developing drug resistance and death. This study was conducted to identify and describe predictors of TB treatment interruption. Methods A cohort of 291 notified TB patients from 20 selected health facilities in Vihiga County were enrolled in to the study and followed up until the end of treatment. Patient characteristics that potentially predict treatment interruption were recorded during treatment initiation using structured questionnaires. Patients who interrupted treatment were traced and reasons for stoppage of treatment recorded. Kaplan Meier method was used to estimate probabilities of treatment interruption by patient characteristics and determine time intervals. The Log rank test for the equality of survival distributions analyzed significance of survival differences among categorical variables. For multivariable analysis, Cox proportional hazard model, was fitted to identify predictors of TB treatment interruption through calculation of hazard ratios with 95% Confidence Intervals (CIs). For variable analysis, statistical significance was set at P ≤ 0.05. Reasons for treatment interruption were categorized according to most recurrent behavioral or experiential characteristics. Results Participants’ median age was 40 years (IQR = 32–53) and 72% were male. Of the 291 patients, 11% (n = 32) interrupted treatment. Incidences of treatment interruption significantly occurred during intensive phase of treatment. Independent predictors of treatment interruption included alcohol consumption (HR = 9.2, 95% CI; 2.6–32.5, p < 0.001), being female (HR = 5.01, 95% CI; 1.68–15.0, p = 0.004), having primary or lower education level (HR = 3.09, 95% CI; 1.13–8.49, p < 0.029) and having a treatment supporter (HR = 0.33, 95% CI; 0.14–0.76, p = 0.009). Reasons for interrupting treatment were categorized as: alcoholism, feeling better after treatment initiation, associated TB stigma, long distance to health facility, lack of food, perception of not having TB and pill burden. Conclusion TB treatment interruption was high and largely associated with patients’ socio-demographic and behavioral characteristics. These multidimensional factors suggest the need for interventions that not only target individual patients but also environment in which they live and receive healthcare services.

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Section: Discussionmentioning

confidence: 99%

Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya

Wekunda¹,

Aduda

Guyah

2021

PLoS ONE

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“…Families' alcohol dependence can also contribute. For instance, it was reported that the amount of alcohol consumed by parents and siblings has a significant impact on the amount of alcohol consumed by other siblings [59]. Additionally, having a family history of alcohol use for those with high Barratt Impulsiveness Scale scores (a questionnaire designed to assess the personality/behavioral construct of impulsiveness) was associated with severe alcohol-related consequences [57].…”

Section: Family Background Influencementioning

confidence: 99%

Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors

Khamis

Salleh

Karim

et al. 2022

IJERPH

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Background: Excessive alcohol consumption has negative effects not only on the drinkers’ health but also on others around them. Previous studies suggest that excessive alcohol consumption can be related to a combination of factors such as age, family background, religiosity, etc. Investigating and clarifying these roots of alcohol consumption is crucial so that the right type of interventions can be designed in a specific and targeted manner. Objectives: This work was conducted as a systematic review to reveal the factors associated with alcohol consumption and to heighten the understanding of the differences among various communities and segments of the population regarding their usage of alcohol. Data sources: A systematic search of Web of Science, PubMed, ScienceDirect, and Google Scholar was performed. Results: Forty-five studies were included in the review after excluding irrelevant records and duplicates. Conclusions: Alcohol consumption patterns can be associated with several factors related to communities and individuals, and our review revealed demographic factors, including age and proximity to alcohol outlets, as well as social factors, including family background, socioeconomic background, and religious influence. These findings can be used to establish a guideline for further studies in understanding alcohol consumption patterns among individuals according to their personal characteristics and sociocultural backgrounds.

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“…In Sub Saharan Africa, Namibia leads on alcohol misuse. The prevalence of alcohol use in Kenya and Uganda is 31.7% and 28.6% respectively (Gitatui, Kimani, Muniu, & Okube, 2019). Moreover, approximately 5.8% of adult males aged between 15-64 years in Kenya have varying levels of alcohol dependency; with 2.4% termed as alcohol abusers (Gitatui et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Determinants for Utilization of Alcohol Use Screening Tool by Nurses at Mathari Hospital, Nairobi City County, Kenya

Mwangi¹,

Onsongo²,

Mwenda³

2022

JMNPH

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The purpose of this study was to evaluate determinants for utilization of alcohol use screening tools by nurses at Mathari Hospital. The study employed analytical cross sectional study design. Participants were practising nurses deployed at Mathari Hospital. 159 respondents formed the sample size. The study utilised simple random sampling. The average age for most nurses was 42 (±10.6) years, had 18 (±10.6) years’ experience in nursing profession, had 10 (±8.1) years’ experience in mental health and psychiatry nursing. Majority (98.1%, 156) of the nurses had cared for a patient with potentially harmful alcohol use and initiated screening for alcohol use on the patient (56.6%, 90). The findings revealed that majority of the nurses were female (76.1%), Christians (97.5%), diploma holders (47.8%), aged was 42 years, 18 years’ experience in nursing profession, and 10 years’ experience in mental health and psychiatry nursing. In addition, education level of nurses was positively and significantly (r=0.164, p=0.039) related with utilization of SBIRT screening tool. The respondents highlighted the following as key enabling factors: Management support (52.8%), motivation (51.6%), Champion (44.7%) and training (44.7%). Management support was positively and significantly (r=0.322, p=0.000) related with utilization of SBIRT screening tool. Identified barriers to utilization of the SBIRT screening tool were nurses’ own alcohol use (44%), competency gaps (32.7%) and lack of knowledge (49.7%). Nurse’s characteristics had a positive and significant influence on the utilization of alcohol use screening tool (β = 0.612, p= 0.000) at 95% confidence interval. Enabling factors had a positive and significant influence on utilization of alcohol use screening tool (β = 0.226, P= 0.061) at 90% confidence interval. Barriers had a negative and significant influence on utilization of alcohol use screening tool (β = -0.261, P= 0.065) at 95% confidence interval. The adjusted R squared (0.243) revealed that jointly, nurses’ characteristics, enabling factors and barriers explain 24.3% of variations in the utilization of alcohol use screening tool. Enabling factors were observed to have a positive and significant relationship with utilization of alcohol use screening tool (r=0.359, P=0.000) at 99% confidence interval. Barriers have a negative and significant relationship with utilization of alcohol use screening tool (r= -0.132, P=0.097) at 95% confidence interval. The three determinants (nurses’ characteristics, enabling factors, and barriers) only explained eighteen percent of changes in utilization of SBIRT suggesting the existence of other factors that may account for changes in utilization of the screening tool. Keywords: Screening tool, alcohol use, SBIRT, barriers, enabling factors, nurse’s characteristics

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Determinants of harmful use of alcohol among urban slum dwelling adults in Kenya

Cited by 17 publications

References 87 publications

Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya

Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya

Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors

Determinants for Utilization of Alcohol Use Screening Tool by Nurses at Mathari Hospital, Nairobi City County, Kenya

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