ABSTRACT
BACKGROUND & OBJECTIVES: Information on predictors of quitting behaviour in adult tobacco users is scarce in Indian context. Hence, this study was undertaken to assess the intention of tobacco-users towards quitting and its predictors with reference to nicotine dependence. METHODS: A community-based observational, cross-sectional study was conducted on 128 adult tobacco-users (89.8% male) with mean age of 41.1 ± 15.7 yr selected by complete enumeration method. Data were collected by interview using pre-designed, pre-tested schedule. Nicotine dependence was assessed by Fagerstrφm Test for Nicotine Dependence (FTND) questionnaire. RESULT: Of the 128 users, 63.3 per cent had intention to quit. Majority of the tobacco users who did not intend to quit belonged to the age group of > 40 yr (66.0%), were illiterate (55.3%), started tobacco use at 11 - 15 yr of age (57.4%), had been using tobacco for 20 yr or more (70.2%), were daily tobacco users (91.5%), and highly dependent on nicotine (80.9%). Tobacco users having high FTND score and who started tobacco use early in life were 1.83 and 3.30 times more unintended to quit, respectively. INTERPRETATION & CONCLUSIONS: Suitable plan for quitting should be developed depending on the FTND score of an individual, the most important determinant of quitting that would be beneficial for categorization of the treatment leading to successful quitting.
Subject(s)
Intention , Smoking Cessation/psychology , Smoking/epidemiology , Smoking/psychology , Tobacco Use Disorder/psychology , Adult , Age Factors , Aged , Cross-Sectional Studies , Female , Humans , India/epidemiology , Interviews as Topic , Male , Middle Aged , Poverty Areas , Smoking Cessation/statistics & numerical data , Surveys and Questionnaires , Time FactorsABSTRACT
Lack of appropriate human resources planning is an important factor in the inefficient use of the public health facilities. Workforce projections can be improved by using objective methods of staffing needs based on the workload and actual work undertaken by workers, a guideline developed by Peter J. Shipp in collaboration with WHO-Workload Indicators of Staffing Need (WISN). A cross-sectional study was carried out to estimate the nursing stuff requirement for the rural hospitals and provide a quantitative description of imbalances, if there is any, in the allocation at the district level during 2011. The average WISN turns out to be 0.35 for entire district, which means only 35% of the required nurses is available or 65% understaffed. So, there is an urgent need for more allocations and deployment of staff so that workload can be tackled and evenly distributed among all nursing personnel.
