Objective: To estimate the prevalence and the socioeconomic and demographic correlates of tobacco consumption in India. Design: Cross sectional, nationally representative population based household survey. Subjects: 315 598 individuals 15 years or older from 91 196 households were sampled in National Family Health Survey-2 (1998-99). Data on tobacco consumption were elicited from household informants. Measures and methods: Prevalence of current smoking and current chewing of tobacco were used as outcome measures. Simple and two way cross tabulations and multivariate logistic regression analysis were the main analytical methods. Results: Thirty per cent of the population 15 years or older-47% men and 14% of women-either smoked or chewed tobacco, which translates to almost 195 million people-154 million men and 41million women in India. However, the prevalence may be underestimated by almost 11% and 1.5% for chewing tobacco among men and women, respectively, and by 5% and 0.5% for smoking among men and women, respectively, because of use of household informants. Tobacco consumption was significantly higher in poor, less educated, scheduled castes and scheduled tribe populations. The prevalence of tobacco consumption increased up to the age of 50 years and then levelled or declined. The prevalence of smoking and chewing also varied widely between different states and had a strong association with individual's sociocultural characteristics. Conclusion: The findings of the study highlight that an agenda to improve health outcomes among the poor in India must include effective interventions to control tobacco use. Failure to do so would most likely result in doubling the burden of diseases-both communicable and non-communicable-among India's teeming poor. There is a need for periodical surveys using more consistent definitions of tobacco use and eliciting information on different types of tobacco consumed. The study also suggests a need to adjust the prevalence estimates based on household informants
Future decades will see dramatic increases in tobacco-attributable deaths in low- and middle-income regions. Although much of this excess mortality can be prevented if smokers stop smoking, quitting remains rare in low- and middle-income countries.
The objective of this study was to provide conservative estimates of the global and regional effectiveness and cost-effectiveness of tobacco control policies. Using a static model of the cohort of smokers alive in 1995, we estimated the number of smoking-attributable deaths that could be averted by: (1) price increases, (2) nicotine replacement therapy (NRT), and (3) a package of non-price interventions other than NRT. We calculated the cost-effectiveness of these policy interventions by weighing the approximate public-sector costs against the years of healthy life saved, measured in disability-adjusted life years, or DALYs. Even with deliberately conservative assumptions, tax increases that would raise the real price of cigarettes by 10% worldwide would prevent between 5 and 16 million tobacco-related deaths, and could cost 3-70 US dollars per DALY saved in low-income and middle-income regions. NRT and a package of non-price interventions other than NRT are also cost-effective in low-income and middle-income regions, at 280-870 US dollars per DALY and 36-710 US dollars per DALY, respectively. In high-income countries, price increases were found to have a cost-effectiveness of 83-2771 US dollars per DALY, NRT 750-7206 US dollars per DALY and other non-price interventions 696-13,924 US dollars per DALY. Tobacco control policies, particularly tax increases on cigarettes, are cost-effective relative to other health interventions. Our estimates are subject to considerable variation in actual settings; thus, local cost-effectiveness studies are required to guide local policy.
We analyzed the technical basis for a major global program to reduce disease among the poor. Effective interventions exist against the few diseases which most account for excess mortality among the poor. Achieving high coverage of effective interventions requires a well-functioning health system, as well as overcoming a set of financial and nonfinancial constraints. The annual incremental cost would be between $40 billion and $52 billion by 2015 in 83 low-income and sub-Saharan African countries. Such a program is feasible and would avoid millions of child, maternal, and adult deaths annually in poor countries.
ObjectiveAssess the quality of healthcare across African countries based on health providers’ clinical knowledge, their clinic attendance and drug availability, with a focus on seven conditions accounting for a large share of child and maternal mortality in sub-Saharan Africa: malaria, tuberculosis, diarrhoea, pneumonia, diabetes, neonatal asphyxia and postpartum haemorrhage.MethodsWith nationally representative, cross-sectional data from ten countries in sub-Saharan Africa, collected using clinical vignettes (to assess provider knowledge), unannounced visits (to assess provider absenteeism) and visual inspections of facilities (to assess availability of drugs and equipment), we assess whether health providers are available and have sufficient knowledge and means to diagnose and treat patients suffering from common conditions amenable to primary healthcare. We draw on data from 8061 primary and secondary care facilities in Kenya, Madagascar, Mozambique, Nigeria, Niger, Senegal, Sierra Leone, Tanzania, Togo and Uganda, and 22 746 health workers including doctors, clinical officers, nurses and community health workers. Facilities were selected using a multistage cluster-sampling design to ensure data were representative of rural and urban areas, private and public facilities, and of different facility types. These data were gathered under the Service Delivery Indicators programme.ResultsAcross all conditions and countries, healthcare providers were able to correctly diagnose 64% (95% CI 62% to 65%) of the clinical vignette cases, and in 45% (95% CI 43% to 46%) of the cases, the treatment plan was aligned with the correct diagnosis. For diarrhoea and pneumonia, two common causes of under-5 deaths, 27% (95% CI 25% to 29%) of the providers correctly diagnosed and prescribed the appropriate treatment for both conditions. On average, 70% of health workers were present in the facilities to provide care during facility hours when those workers are scheduled to be on duty. Taken together, we estimate that the likelihood that a facility has at least one staff present with competency and key inputs required to provide child, neonatal and maternity care that meets minimum quality standards is 14%. On average, poor clinical knowledge is a greater constraint in care readiness than drug availability or health workers’ absenteeism in the 10 countries. However, we document substantial heterogeneity across countries in the extent to which drug availability and absenteeism matter quantitatively.ConclusionOur findings highlight the need to boost the knowledge of healthcare workers to achieve greater care readiness. Training programmes have shown mixed results, so systems may need to adopt a combination of competency-based preservice and in-service training for healthcare providers (with evaluation to ensure the effectiveness of the training), and hiring practices that ensure the most prepared workers enter the systems. We conclude that in settings where clinical knowledge is poor, improving drug availability or reducing health workers’ absenteeism would only modestly increase the average care readiness that meets minimum quality standards.
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