BMC Public Health (Jan 2019)
Non-compliance and associated factors against smoke-free legislation among health care staffs in governmental hospitals in Addis Ababa, Ethiopia: an observational cross-sectional study
Abstract
Abstract Background In 2014, the Ethiopian government passed a new smoking legislation that banned smoking in public and workplaces including health care facilities. However, data’s on level of non-compliance and associated factors with non-compliance towards smoke-free legislation in hospital settings of the country has not been studied yet. Methods Hospital-based Cross-sectional study design triangulated with observational study was conducted in five hospitals. Data were collected through direct observation and interviews using checklist, structured and pre-tested questionnaires for observational study and survey of hospital employee respectively. Nine data collectors and one supervisor were involved in data collection. Three hundred fifty (350) health care staffs were interviewed. Fifteen (15) buildings were purposively observed for observational non-compliance in the selected hospitals. Data were entered by Epi Info and analyzed using SPSS version 21 software. Logistic regression was used to compute the crude and adjusted odds ratios for the factors affecting employee non-compliance with the legislation. A p-value of < 0.05 at 95% CI was considered to be statistically significant. Results Anti-smoking signs were absent from a high proportion of hospital areas (97% overall) although visible cigarette butts were generally not observed in most areas of the hospitals. Non-compliance level among health care staffs was 50(10.3%).Associated factors affecting to the non-compliance level of the staff were: being male (AOR = 5.89, p value = 0.001), having poor knowledge (AOR = 2.71, p-value = 0.022) and having Unfavorable attitudes (AOR = 6.15, p-value = 0.000). Conclusions Non-compliance level was high and needs careful implementation for 100% smoke-free legislation in addressing knowledge and attitudes of health care staffs.
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