Impact of National Tobacco Control Policy on Rates of Hospital Admission for Pneumonia: When Compliance Matters
Marine Gambaryan (),
Anna Kontsevaya and
Oxana Drapkina
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Marine Gambaryan: National Medical Research Centre for Therapy and Preventive Medicine of the Ministry of Health of Russia, 101990 Moscow, Russia
Anna Kontsevaya: National Medical Research Centre for Therapy and Preventive Medicine of the Ministry of Health of Russia, 101990 Moscow, Russia
Oxana Drapkina: National Medical Research Centre for Therapy and Preventive Medicine of the Ministry of Health of Russia, 101990 Moscow, Russia
IJERPH, 2023, vol. 20, issue 10, 1-10
Abstract:
A number of studies claim that tobacco control (TC) regulations are associated with reductions in smoking-related hospitalisation rates, but very few have estimated the impact of TC laws (TCL) at both countrywide and regional levels, and none of them have studied the impact of TCL in relation to compliance with TC regulations. This study evaluates the effects of Russian TCL on hospital admission (HA) rates for pneumonia countrywide and in 10 Russian regions and the extent of these effects in connection with the compliance with TCL. Methods: HA rates for pneumonia from 2005–2019 were analysed to compare the periods before and after the adoption of TCL in 2013. An interrupted time series design and a Poisson regression model were used to estimate the immediate and long-term effects of TCL on pneumonia annual hospitalisation rates after the TCL adoption, compared with the pre-law period. The 10 Russian regions were compared using the TCL implementation scale (TCIS) developed on the basis of the results of the Russian TC policy evaluation survey; Spearman’s rank correlation and linear regression models were employed. Results showed a 14.3% reduction in HA rates for pneumonia (RR 0.88; p = 0.01) after the adoption of TCL in Russia with significant long-term effect after 2013 (RR 0.86; p = 0.006). Regions with better enforcement of TCL exhibited greater reductions in pneumonia HA rates (rsp = −0.55; p = 0.04); (β = −4.21; p = 0.02). Conclusions: TCL resulted in a sustained reduction in pneumonia hospitalisation rates, but these effects, varying by region, may depend on the scale of the TCL enforcement.
Keywords: tobacco control; tobacco control legislation; tobacco control measures; tobacco control implementation scale; interrupted time series design; hospitalisation rates for pneumonia; smoking-related hospitalisation rates (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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