Smoking Addiction in Patients with Schizophrenia Spectrum Disorders and Its Perception and Intervention in Healthcare Personnel Assigned to Psycho-Rehabilitation Programs: A Qualitative Research.
Pasquale CaponnettoMarilena MagliaMarta MangioneChiara VergopiaGraziella Chiara PrezzaventoRiccardo PolosaMaria Catena QuattropaniJennifer DiPiazzaMaria Salvina SignorelliPublished in: Healthcare (Basel, Switzerland) (2022)
Patients with schizophrenia spectrum disorders have a higher prevalence and frequency of smoking rates when compared to the rest of the population; to this, it must be added that they develop a greater dependence and have some worse health consequences than the general population. This is qualitative research on the perception of smoking in healthcare professionals assigned to psycho-rehabilitation programs for patients with schizophrenia spectrum disorders. The point of view of health personnel (Psychologists, Psychiatrists, Pedagogists, and Nurses) about cigarette smoking in these patients was analyzed, focusing on their implications in disturbance and comparing them with e-cigarettes too. The methodology used to collect the data was a semi-structured interview with five questions. The research path was carried out in two assisted therapeutic communities that are clinics for the rehabilitation of serious mental illness in the period between November and July 2022. The results showed that the opinion of health professionals on smoking is very negative. Research has also shown that nearly all patients are smokers; however, their high grade of addiction is caused by periods of high stress due to various factors that lead patients to consume a greater number of cigarettes. Almost all respondents have a positive opinion of the e-cigarette, which was defined as an excellent substitute for traditional cigarettes.
Keyphrases
- smoking cessation
- healthcare
- end stage renal disease
- mental health
- newly diagnosed
- mental illness
- high grade
- chronic kidney disease
- randomized controlled trial
- prognostic factors
- peritoneal dialysis
- systematic review
- risk assessment
- risk factors
- machine learning
- deep learning
- climate change
- social media
- big data
- stress induced