Healthcare providers’ level of involvement in provision of smoking cessation interventions in public health facilities in Kenya

Gichuki, Judy; Opiyo, Rose Okoyo; Mugyenyi, Possy; Namusisi, Kellen

doi:10.4081/jphia.2015.523

Cited by 25 publications

(49 citation statements)

References 18 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the enforcement of smoke-free zones is still lacking and no current monitoring for effectiveness of policies exists to date [ 27 , 31 , 35 , 49 ]. Additionally, more can be done at the healthcare provider to level to educate patients on smoking cessation [ 50 , 51 ]. Lack of understanding amongst the general population on the effects of tobacco use on chronic disease, such as cancer, continues to be a problem [ 27 , 52 ].…”

Section: Discussionmentioning

confidence: 99%

Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

et al. 2018

View full text Add to dashboard Cite

BackgroundAccording to the World Health Organization (WHO), in 2015, over 1.1 billion people smoked tobacco, which represents around 15% of the global population. In Africa, around one in five adults smoke tobacco. The 2014 Kenya Global Adult Tobacco Survey reported that 2.5 million adults use tobacco products. The objective of our study was to describe patterns and determinants of tobacco use from the 2015 Kenya STEPS survey, including use of “smokeless” tobacco products and the more novel e-cigarettes.MethodsThe WHO STEPwise approach to surveillance (STEPS) was completed in Kenya between April and June 2015. Logistic regression analyses was used to assess factors affecting prevalence and frequency of tobacco use. Sociodemographic variables associated with tobacco use were considered: age, sex, level of education, wealth quintile, and residence. The relationship with alcohol as an intervening risk factor was also assessed. Our main outcomes of interest were current tobacco use, daily tobacco use and use of smokeless tobacco products.ResultsOf 4484 respondents, 605 (13.5%) reported being current tobacco users. Most active tobacco users were male (n = 507/605, 83.8%). Three out of four tobacco users (n = 468/605, 77.4%) reported being less than 50 years old, with the average start age being 21 (20.6, 95% CI 19.3–21.8) and the average quit age 27 (27.2, 95% CI 25.8–28.6). Most tobacco users had only ever attended up to primary school (n = 434/605, 71.7%). Men had nearly seven times higher odds of being tobacco users as compared to women (OR 7.63, 95% CI 5.63–10.33). Alcohol use had a positive effect on tobacco use. Finally, less than ten respondents reported having used e-cigarettes.ConclusionThe 2015 Kenya WHO STEPS provided primary data on the status of tobacco use in the country and other leading NCD risk factors, such as alcohol, and associated diseases. Our findings highlight key target populations for tobacco cessation efforts: young people, men, those with lower levels of education, and alcohol consumers. Further data is needed on the use of smokeless tobacco, and its impact on smoked tobacco products, as well as on the novel use of e-cigarettes.

show abstract

Section: Discussionmentioning

confidence: 99%

Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Article 14 of the FCTC obligates Parties to take effective measures to promote smoking cessation and provide treatment for tobacco dependence (WHO FCTC, 2005). Despite the importance given to cessation programs, there are no comprehensive cessation services offered in most public care facilities in Kenya and Zambia (WHO, 2017a, WHO, 2017b) and health care providers in Kenya do not routinely provide cessation interventions to their patients (Gichuki et al, 2016). In both countries, some cessation support is available through private health facilities and from some health professionals which comes at a fee that most smokers cannot afford (Ngaruiya et al, 2018; WHO, 2017b, WHO, 2017a).…”

Section: Introductionmentioning

confidence: 99%

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

Kaai

Fong

Goma

et al. 2019

Preventive Medicine Reports

View full text Add to dashboard Cite

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.

show abstract

“…The development of the “ProSCiTE” survey questionnaire was performed through three steps: determining the content domain/construct, sampling from the content (item generation), and instrument formation [57,58]. The questionnaire was adopted from previous studies [1,2,3,4,5,6,10,54,55,56,59] and was adapted to this study.…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of an Evaluation Tool to Measure the Effectiveness of a Smoking Cessation Training among Healthcare Providers in Malaysia: The Providers’ Smoking Cessation Training Evaluation (ProSCiTE)

Hasan

Hairi

Nordin

et al. 2019

IJERPH

View full text Add to dashboard Cite

Background: In line with Article 14 of the Framework Convention for Tobacco Control, we have witnessed vast developments in smoking cessation training for healthcare providers, offering help for smokers. However, there is no specific evaluation tool to monitor and evaluate the effectiveness of these programs for future enhancement and sustainability. Objective: To develop and validate a new tool for evaluating smoking cessation training programs for healthcare providers called the Providers’ Smoking Cessation Training Evaluation (ProSCiTE). Methods: The 74-item ProSCiTE tool was developed based on a review of the literature and an expert panel review. The tool was validated in a sample of 403 healthcare providers using a cross-sectional study design from July to December 2016. Content validity was assessed by the Scale-Content Validity Index (S-CVI). The construct validity of the ProSCiTE was analyzed using exploratory factor analysis (EFA) to confirm psychometric properties. Internal consistency reliability was determined using Cronbach’s alpha. Results: The content validity showed that the S-CVI ranged from 0.82 to 1.00 for consistency, representativeness, relevancy, and the clarity of each construct, resulting in 67 items for the questionnaire. The construct validity of the ProSCiTE (based on eigenvalues and factor loadings to confirm the four-factor structure (attitude, self-efficacy, behavior, and barriers) with 54.74% total variance) was acceptable (Kaiser-Mayer-Olkin = 0.923; Bartlett’s test of sphericity was significant, p < 0.001). The internal consistency reliability of the four-factor structure was very good, with Cronbach’s alpha values at 0.89, 0.94, 0.95, and 0.90, respectively. Conclusions: This study showed that 67 items of the ProSCiTE demonstrated good content and construct validity, as well as a high internal consistency reliability for the measurement of knowledge, attitudes, self-efficacy, behavior, and barriers to smoking cessation interventions among healthcare providers. Therefore, the ProSCiTE is a valid and reliable research tool with which to evaluate the effectiveness of smoking cessation training programs.

show abstract

Healthcare providers’ level of involvement in provision of smoking cessation interventions in public health facilities in Kenya

Cited by 25 publications

References 18 publications

Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey

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

Development and Validation of an Evaluation Tool to Measure the Effectiveness of a Smoking Cessation Training among Healthcare Providers in Malaysia: The Providers’ Smoking Cessation Training Evaluation (ProSCiTE)

Contact Info

Product

Resources

About