Modelling intentions to provide smoking cessation support among mental health professionals in the Netherlands

Introduction Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals’ intentions to help patients stop smoking. Material and Methods Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of plann... Mehr ...

Verfasser: Matthijs Blankers
Renate Buisman
Petra Hopman
Ronald van Gool
Margriet van Laar
Dokumenttyp: Artikel
Erscheinungsdatum: 2016
Reihe/Periodikum: Tobacco Induced Diseases, Vol 14, Iss August (2016)
Verlag/Hrsg.: European Publishing
Schlagwörter: psychiatry / survey research / treatment and intervention / structural equation modelling / Diseases of the respiratory system / RC705-779 / Neoplasms. Tumors. Oncology. Including cancer and carcinogens / RC254-282
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29171879
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1186/s12971-016-0096-5

Introduction Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals’ intentions to help patients stop smoking. Material and Methods Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of planned behaviour and literature on habitual behaviour. Data were weighted and only data from staff members with regular patient contact (n = 506) were included. Descriptive statistics of the survey items are presented and in a second step using structural equation modelling (SEM), we regressed the latent variables attitudes, subjective norms (SN), perceived behavioural control (PBC), past cessation support behaviour (PB) and current smoking behaviour on intentions to provide support. In optimisation steps, models comprising a subset of this initial model were evaluated. Results A sample of 506 mental health workers who had direct contact with patients completed the survey. The majority of them were females (70.0 %), respondents had an average age of 42.5 years (SD = 12.0). Seventy-five percent had at least a BSc educational background. Of the respondents, 76 % indicated that patients should be encouraged more to quit smoking. Respondents were supportive to train their direct colleagues to provide cessation support more often (71 %) and also supported the involvement of mental health care facilities in providing cessation support to patients (69 %). The majority of the respondents feels capable to provide cessation support (66 %). Two thirds of the respondents wants to provide support, however only a minority (35 %) intends to actually do so during the coming year. Next, using SEM an acceptable fit was found of the constructs ...