Introduction: People with mental health disorders are much more likely to smoke compared to those who do not. This study investigates recent trends in smoking behaviors among both these populations in England. Methods: We used survey responses from adults (aged 16 years and older) living in households in England who participated in the Health Survey for England from 1993 to 2011 (n = 11,300 per year on average). Linear regression was used to quantify annual changes over the time period in smoking prevalence, daily cigarette consumption, and desire to quit among respondents with and without 2 indicators of mental disorder (self-reported longstanding mental illness and recent use of psychoactive medication). Results: Among survey respondents who did not report a longstanding mental illness, there were long-term declines in smoking prevalence (−0.48% per year, 95% confidence interval [CI] = −0.56 to −0.40) and daily cigarette consumption (−0.14% per year, 95% CI = −0.17 to −0.11). Similar declines were also seen among respondents not taking psychoactive medications. However, there were no long-term changes in smoking prevalence and cigarette consumption among respondents who reported these indicators of mental disorder, although smoking prevalence among those taking psychoactive medications may have declined during the later part of the study period. Smokers both with and without the 2 indicators of mental disorder showed similar levels of desire to quit smoking. Conclusions: Smoking is largely unchanged since 1993 among those with indicators of longstanding mental disorders or recent psychoactive medication usage, although declines have been observed among those without such indicators of mental disorder.
BackgroundSmoking is a UK public health threat but GPs can be effective in helping patients to quit; consequently, the Quality and Outcomes Framework (QOF) incentivises the recording of smoking status and delivery of cessation advice in patients’ medical records. This study investigates the association between smoking-related QOF targets and such recording, and the factors which influence these clinical activities.MethodsFor 2000 to 2008, using medical records in The Health Improvement Network (THIN) database, the annual proportions of i) patients who had a record of smoking status made in the previous 27 months and ii) current smokers recorded as receiving cessation advice in the previous 15 months were calculated. Then, for all patients at selected points before and after the QOF’s implementation, data on gender, age, Townsend score, and smoking-related morbidity were extracted. Multivariate logistic regression was used to investigate individual-level characteristics associated with the recording of smoking status and cessation advice.ResultsRapid increases in recording smoking status and advice occurred around the QOF’s introduction in April 2004. Subsequently, compliance to targets has been sustained, although rates of increase have slowed. By 2008 64.5% of patients aged 15+ had smoking status documented in the previous 27 months and 50.5% of current smokers had cessation advice recorded in the last 15 months. Adjusted odds ratios show that, both before and after the introduction of the QOF, those with chronic medical conditions, greater social deprivation and women were more likely to have a recent recording of smoking status or cessation advice. Since the QOF’s introduction, the strongest characteristic associated with recording activities was the presence of co-morbidity. An example of this was patients with COPD, who in 2008, were 15.38 (95% CI 13.70-17.27) times and 11.72 (95% CI 10.41-13.21) times more likely to have a record of smoking status and cessation advice, respectively.ConclusionsRates of recording smoking status and cessation advice plateaued after large increases during the QOF’s introduction; however, recording remains most strongly associated with the presence of chronic disease as specified by the QOF, and suggests that incentivised targets have a direct effect on clinical behaviour.
Background: Evidence for risks of adverse maternal and birth outcomes in women with hyperemesis gravidarum (HG) is predominantly from small studies, unknown, or conflicting. Methods: A population-based cohort study using secondary health care records (Hospital Episode Statistics covering all of England from 1997 to 2012) was used to calculate odds ratios (OR) with 99% confidence intervals (CI) for the association between HG hospital admission and adverse outcomes, adjusting for maternal and pregnancy confounders. Results: Within 8 211 850 pregnancies ending in live births or stillbirths, women with HG had increased odds of anaemia (OR 1.28, 99% CI 1.23, 1.33), preeclampsia (OR 1.16, 99% CI 1.09, 1.22), eclampsia (OR 1.84, 99% CI 1.07, 3.18), venous thromboembolism antenatally (OR 1.94, 99% CI 1.57, 2.39 for deep vein thrombosis, and OR 2.54, 99% CI 1.89, 3.40 for pulmonary embolism) and post-partum. Odds of stillbirth (OR 0.77, 99% CI 0.66, 0.89) and post-term (OR 0.86, 99% CI 0.81, 0.92) delivery were decreased. Women were more likely to be induced (OR 1.20, 99% CI 1.16, 1.23), to deliver preterm (OR 1.11, 99% CI 1.05, 1.17), very preterm (OR 1.18, 99% CI 1.05, 1.32), or by caesarean section (OR 1.12, 99% CI 1.08, 1.16), to have low birthweight (OR 1.12, 99% CI 1.08, 1.17) or small for gestational age (OR 1.06, 99% CI 1.01, 1.11) babies and although absolute risks were small, their offspring were more likely to undergo resuscitation or neonatal intensive care. Conclusion: HG may have important antenatal and postnatal consequences that should be considered in communications between health care professionals and women to best manage HG and prevent progression during pregnancy.
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