Determinants of adoption of cognitive behavioral interventions in a hospital setting: Example of a minimal-contact smoking cessation intervention for cardiology wards

Segaar, Dewi; Bolman, Catherine; Willemsen, Marc C.; Vries, Hein de

doi:10.1016/j.pec.2005.04.004

Cited by 33 publications

(44 citation statements)

References 26 publications

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“…Similar to our study, Segaar and colleagues [20] reported that cardiac nurses who adopted a Minimal Intervention Strategy for smoking cessation in cardiac inpatients (adopters) had a more positive attitude and higher self-efficacy expectations compared with non-adopters. The results of the present study showed that attitudes play an important role in the decision whether or not to participate in the active recruitment of primary schools and active recruiters had more positive beliefs than non-active recruiters.…”

Section: Discussionsupporting

confidence: 88%

“…This is also supported by other studies, since both factors can affect the degree to which an innovation is disseminated [20,33]. An additional positive remark is that all Dutch MHPOs, including all HPPs who focus on smoking prevention in Dutch schools, were contacted and that most of the MHPOs participated in the study, which improves the generalisability of findings.…”

Section: Discussionsupporting

confidence: 72%

“…Besides these organisational factors, dissemination of a new product or programme may be influenced by psychological factors, such as attitude, social influence, self-efficacy expectations and preparing for action by the decision-making individual (i.e. a person who is responsible for decisions within an organisation) [20,23]. …”

Section: Introductionmentioning

confidence: 99%

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Which factors play a role in Dutch health promotion professionals’ decision to recruit actively primary schools to use a web-based smoking prevention programme?

et al. 2013

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BackgroundMunicipal Health Promotion Organisations (MHPOs) play an important role in promoting and disseminating prevention programmes, such as smoking prevention programmes, in schools. This study identifies factors that may facilitate or hinder MHPOs’ willingness to recruit actively primary schools to use a smoking prevention programme.MethodsIn 2011, 31 Dutch MHPOs were invited to recruit schools to use a smoking prevention programme. All MHPO employees involved in smoking prevention activities (n = 68) were asked to complete a questionnaire assessing psychological factors and characteristics of their organisation that might affect their decision to be involved in active recruitment of schools. T-tests and multivariate analysis of variance assessed potential differences in psychological and organisational factors between active and non-active recruiters.ResultsA total of 45 professionals returned the questionnaire (66.2%). Active recruiters (n = 12) had more positive attitudes (p = 0.02), higher self-efficacy expectations (p < 0.01) and formulated more plans (p < 0.01) to recruit primary schools, compared with non-active recruiters. Organisational factors did not discriminate between active and non-active recruiters.ConclusionsPrimarily psychological factors seem to be associated with MHPOs’ decision to recruit schools actively. This indicates that creating more positive attitude, self-efficacy beliefs and formation of plans may help in getting more MHPOs involved in active recruitment procedures.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 72%

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Which factors play a role in Dutch health promotion professionals’ decision to recruit actively primary schools to use a web-based smoking prevention programme?

et al. 2013

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“…Consequently, compared to non‐tailored materials, computer‐tailored messages are better read, saved, memorized and discussed with others 14, 32, 33. The I‐Change model has been used for several previous studies investigating the determinants of adopting a smoking cessation intervention 34, 35, 36, 37. The I‐Change model integrates concepts of various cognitive models, such as Ajzen's Theory of Planned Behaviour 38 and the Health Belief Model 39.…”

Section: Methodsmentioning

confidence: 99%

Is it cost‐effective to provide internet‐based interventions to complement the current provision of smoking cessation services in the Netherlands? An analysis based on the EQUIPTMOD

et al. 2017

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Background and aimThe cost‐effectiveness of internet‐based smoking cessation interventions is difficult to determine when they are provided as a complement to current smoking cessation services. The aim of this study was to evaluate the cost‐effectiveness of such an alternate package compared with existing smoking cessation services alone (current package).MethodsA literature search was conducted to identify internet‐based smoking cessation interventions in the Netherlands. A meta‐analysis was then performed to determine the pooled effectiveness of a (web‐based) computer‐tailored intervention. The mean cost of implementing internet based interventions was calculated using available information, while intervention reach was sourced from an English study. We used EQUIPTMOD, a Markov‐based state‐transition model, to calculate the incremental cost‐effectiveness ratios [expressed as cost per quality‐adjusted life years (QALYs) gained] for different time horizons to assess the value of providing internet‐based interventions to complement the current package.). Deterministic sensitivity analyses tested the uncertainty around intervention costs per smoker, relative risks, and the intervention reach.ResultsInternet‐based interventions had an estimated pooled relative risk of 1.40; average costs per smoker of €2.71; and a reach of 0.41% of all smokers. The alternate package (i.e. provision of internet‐based intervention to the current package) was dominant (cost‐saving) compared with the current package alone (0.14 QALY gained per 1000 smokers; reduced health‐care costs of €602.91 per 1000 smokers for the life‐time horizon). The alternate package remained dominant in all sensitivity analyses.ConclusionProviding internet‐based smoking cessation interventions to complement the current provision of smoking cessation services could be a cost‐saving policy option in the Netherlands.

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“…In einer großen holländischen Umfrage auf kardiologischen Stationen zeigte sich die Bereitschaft an Rauchausstiegsprogrammen für Patienten mitzumachen dann, wenn die KrankenhausStationen personell stärker besetzt waren [ 31 ] . [ 41 ] .…”

Section: Rauchen Am Arbeitsortunclassified

Gesundheitsförderung im Gesundheitswesen – Analyse der Rauchgewohnheiten der Mitarbeiter, Konsequenzen für die Patientenbehandlung und Ressourcen für zukünftige Tabakentwöhnungsinitiativen

et al. 2012

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Smoking is still one of the most dangerous and avoidable health risks. This study "Healthy air at work" analysed smoking habits, state of change, the influence of the diagnosis F.17.0 in patient treatment and estimation of subjective workloads and personal resources in health-care workers. Almost 2 000 questionnaires were analysed. 19.9% of this study population were smokers, while 26.4% were considered to be heavy or very heavy smokers. Half of the current smokers were willing to change, while the majority had already tried to quit multiple times. The most important motive to stop smoking was fear of consequences (44.4%), followed by other reasons (42.3%) (e. g., pregnancy) and expenses (33.9%). Protection against second-hand smoke was estimated mostly as very relevant, especially for patients. Being a role model in terms of tobacco consumption seems to be important for health-care workers. 61.3% of all health-care workers stated that patients' nicotine dependency had been diagnosed and out of these 46.5% say it is a relevant factor in therapy. 60% of all interviewed employees evaluated themselves as working quantitatively under heavy and very heavy workloads, while 20% had to deal with high qualitative challenges. In terms of future work ability and personal resources 75% were considerably optimistic. We did not find any relation in terms of workloads and smoking habits. Rather few health-care workers used nicotine replacement therapy during former cessation trials. Health-care workers could play an important role in the treatment and prevention of smoking dependency. This potential is not used to its full extent up to now.

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Determinants of adoption of cognitive behavioral interventions in a hospital setting: Example of a minimal-contact smoking cessation intervention for cardiology wards

Cited by 33 publications

References 26 publications

Which factors play a role in Dutch health promotion professionals’ decision to recruit actively primary schools to use a web-based smoking prevention programme?

Which factors play a role in Dutch health promotion professionals’ decision to recruit actively primary schools to use a web-based smoking prevention programme?

Is it cost‐effective to provide internet‐based interventions to complement the current provision of smoking cessation services in the Netherlands? An analysis based on the EQUIPTMOD

Gesundheitsförderung im Gesundheitswesen – Analyse der Rauchgewohnheiten der Mitarbeiter, Konsequenzen für die Patientenbehandlung und Ressourcen für zukünftige Tabakentwöhnungsinitiativen

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