Smoking cessation for chronic obstructive pulmonary disease.

Full financial interventions directed at smokers when compared to no financial interventions increase the proportion of smokers who attempt to quit, use smoking cessation treatments, and succeed in quitting. There was no clear and consistent evidence of an effect on smoking cessation from financial incentives directed at healthcare providers. We are only moderately confident in the effect estimate because there was some risk of bias due to a lack of blinding in participants and researchers, and insufficient information on attrition rates.

Background Genome wide association studies (GWAS) of asthma have identified single nucleotide polymorphisms (SNPs) that modestly increase the risk for asthma. This could be due to phenotypic heterogeneity of asthma. Bronchial hyperresponsiveness (BHR) is a phenotypic hallmark of asthma. We aim to identify susceptibility genes for asthma combined with BHR and analyse the presence of cis-eQTLs among replicated SNPs. Secondly, we compare the genetic association of SNPs previously associated with (doctor diagnosed) asthma to our GWAS of asthma with BHR. Methods A GWAS was performed in 920 asthmatics with BHR and 980 controls. Top SNPs of our GWAS were analysed in four replication cohorts and lung cis-eQTL analysis was performed on replicated SNPs. We investigated association of SNPs previously associated with asthma in our data. Results 368 SNPs were followed up for replication. Six SNPs in genes encoding ABI3BP, NAF1, MICA and the 17q21 locus replicated in one or more cohorts, with one locus (17q21) achieving genome wide significance after meta-analysis. Five out of 6 replicated SNPs regulated 35 gene transcripts in whole lung. Eight of 20 asthma associated SNPs from previous GWAS were significantly associated with asthma and BHR. Three SNPs, in IL-33 and GSDMB, showed larger effect sizes in our data compared to published literature. Conclusions Combining GWAS with subsequent lung eQTL analysis revealed disease associated SNPs regulating lung mRNA expression levels of potential new asthma genes. Adding BHR to the asthma definition does not lead to an overall larger genetic effect size than analysing (doctor’s diagnosed) asthma.

Self-management is becoming increasingly important in COPD health care although it remains difficult to embed self-management into routine clinical care. The implementation of self-management is understood as a complex interaction at the level of patient, health care provider (HCP), and health system. Nonetheless there is still a poor understanding of the barriers and effective facilitators. Comprehension of these determinants can have significant implications in optimizing self-management implementation and give further directions for the development of self-management interventions. Data were collected among COPD patients (N=46) and their HCPs (N=11) in three general practices and their collaborating affiliated hospitals. Mixed methods exploration of the data was conducted and collected by interviews, video-recorded consultations (N=50), and questionnaires on consultation skills. Influencing determinants were monitored by 1) interaction and communication between the patient and HCP, 2) visible and invisible competencies of both the patient and the HCP, and 3) degree of embedding self-management into the health care system. Video observations showed little emphasis on effective behavioral change and follow-up of given lifestyle advice during consultation. A strong presence of COPD assessment and monitoring negatively affects the patient-centered communication. Both patients and HCPs experience difficulties in defining personalized goals. The satisfaction of both patients and HCPs concerning patient centeredness during consultation was measured by the patient feedback questionnaire on consultation skills. The patients scored high (84.3% maximum score) and differed from the HCPs (26.5% maximum score). Although the patient-centered approach accentuating self-management is one of the dominant paradigms in modern medicine, our observations show several influencing determinants causing difficulties in daily practice implementation. This research is a first step unravelling the determinants of self-management leading to a better understanding.