19 research outputs found

    A longitudinal study on determinants of the intention to start smoking among Non-smoking boys and girls of high and low socioeconomic status

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    BACKGROUND: This study identifies differences in socio-cognitive factors as they relate to the intention to smoke among boys and girls living in high socioeconomic status (HSES) and low socioeconomic status (LSES) neighborhoods. METHODS: A total of 1,643 children (aged 10–12 years) completed a web-based questionnaire assessing their intention, attitude, social influences, and self-efficacy toward smoking at baseline and at one year follow-up. Logistic regression analyses were conducted to examine the relations between intention and predictor variables (i.e. attitude, social influence, and self-efficacy). Three-way interaction terms were added to the first analysis to examine potential interactions of gender, socioeconomic status and predictor variables. A 3-way interaction effect was present, and therefore subgroup analyses for HSES and LSES boys and girls were warranted. RESULTS: The results indicated that positive attitudes toward smoking were related to the intention to smoke among HSES boys, whereas HSES girls had higher intentions to smoke if they perceived fewer disadvantages of smoking (OR: 0.42; 95 % CI: 0.22–0.82). The intention to smoke among LSES boys was predicted by perceived social norms (OR: 0.49; 95 % CI: 0.25–0.93); in LSES girls, the smoking behavior of people in their environment was most strongly related to their smoking intention (OR: 5.55; 95 % CI: 2.81–10.93). CONCLUSIONS: To prevent youth smoking, HSES boys and girls may benefit from interventions that address attitudes. Boys from an LSES neighborhood may profit from smoking prevention interventions that target social norms, while LSES girls may benefit from strategies aimed at resisting the influence of smokers in their environment. TRIAL REGISTRATION: The ‘Fun without Smokes’ study is approved by the Medical Ethics Committee of the Atrium-Orbis-Zuyd Hospital (NL32093.096.11/MEC 11-T-25) and registered in the Dutch Trial Register (NTR3116)

    A web-based computer-tailored smoking prevention programme for primary school children: intervention design and study protocol

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    BACKGROUND: Although the number of smokers has declined in the last decade, smoking is still a major health problem among youngsters and adolescents. For this reason, there is a need for effective smoking prevention programmes targeting primary school children. A web-based computer-tailored feedback programme may be an effective intervention to stimulate youngsters not to start smoking, and increase their knowledge about the adverse effects of smoking and their attitudes and self-efficacy regarding non-smoking. METHODS & DESIGN: This paper describes the development and evaluation protocol of a web-based out-of-school smoking prevention programme for primary school children (age 10-13 years) entitled ‘Fun without Smokes’. It is a transformation of a postal mailed intervention to a web-based intervention. Besides this transformation the effects of prompts will be examined. This web-based intervention will be evaluated in a 2-year cluster randomised controlled trial (c-RCT) with three study arms. An intervention and intervention + prompt condition will be evaluated for effects on smoking behaviour, compared with a no information control condition. Information about pupils’ smoking status and other factors related to smoking will be obtained using a web-based questionnaire. After completing the questionnaire pupils in both intervention conditions will receive three computer-tailored feedback letters in their personal e-mail box. Attitudes, social influences and self-efficacy expectations will be the content of these personalised feedback letters. Pupils in the intervention + prompt condition will - in addition to the personalised feedback letters - receive e-mail and SMS messages prompting them to revisit the ‘Fun without Smokes’ website. The main outcome measures will be ever smoking and the utilisation of the ‘Fun without Smokes’ website. Measurements will be carried out at baseline, 12 months and 24 months of follow-up. DISCUSSION: The present study protocol describes the purpose, intervention design and study protocol of ‘Fun without Smokes’. Expectations are that pupils receiving tailored advice will be less likely to smoke after 24 months in contrast to pupils in the control condition. Furthermore, tailored feedback letters and prompting is expected to be more effective than providing tailored feedback letters only. TRIAL REGISTRATION: Dutch Trial Register NTR311

    Regional collaboration to improve atrial fibrillation care: preliminary data from the Netherlands heart network

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    Background: Guideline non-adherence and variations in therapeutic and diagnostic trajectories result in suboptimal atrial fibrillation (AF) treatments. Large academic and referral hospitals demonstrated positive effects of dedicated outpatient AF clinics. Although similar results have not been indicated in (small) non-academic hospitals yet, ample opportunities are present when collaboration is initiated on a regional level. Therefore, this study assesses the effectiveness of outpatient AF clinics in a collaborative region in the Netherlands. Methods: For this study baseline and 6 months follow-up data of a prospective cohort including newly or recently diagnosed AF-patients of 4 hospitals involved in the Netherlands Heart Network are used. From January’15 to March’16 patient relevant outcome measures (ie EHRA score, stroke, major bleedings, hospitalizations, serious adverse effects of medication, and mortality) are gathered. Descriptive and regression analyses are performed to assess the effectiveness of outpatient AF clinics. Results: In the analyses 448 AF-patients were included. After 6 months, significant improvements regarding EHRA score (P < 0.01), hypertension (P < 0.01), and type of AF (P < 0.01) were indicated. Results of the patient relevant outcomes showed that AF-patients were hospitalized 23 times, no major bleedings and 2 strokes occurred. Furthermore, 0 AF-patients reported serious adverse effects of medication and no AF-patients deceased. Conclusions: Collaboration between cardiologists in a regional setting permits further improvement of AF care. Therefore, such quality targets are not exclusively reserved to large academic or referral hospitals. Although promising, future research should put effort in measuring the effectiveness of the outpatient AF clinics also on the long run

    Regional collaboration to improve atrial fibrillation care:preliminary data from the Netherlands heart network

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    \u3cp\u3eBackground: Guideline non-adherence and variations in therapeutic and diagnostic trajectories result in suboptimal atrial fibrillation (AF) treatments. Large academic and referral hospitals demonstrated positive effects of dedicated outpatient AF clinics. Although similar results have not been indicated in (small) non-academic hospitals yet, ample opportunities are present when collaboration is initiated on a regional level. Therefore, this study assesses the effectiveness of outpatient AF clinics in a collaborative region in the Netherlands. Methods: For this study baseline and 6 months follow-up data of a prospective cohort including newly or recently diagnosed AF-patients of 4 hospitals involved in the Netherlands Heart Network are used. From January’15 to March’16 patient relevant outcome measures (ie EHRA score, stroke, major bleedings, hospitalizations, serious adverse effects of medication, and mortality) are gathered. Descriptive and regression analyses are performed to assess the effectiveness of outpatient AF clinics. Results: In the analyses 448 AF-patients were included. After 6 months, significant improvements regarding EHRA score (P &lt; 0.01), hypertension (P &lt; 0.01), and type of AF (P &lt; 0.01) were indicated. Results of the patient relevant outcomes showed that AF-patients were hospitalized 23 times, no major bleedings and 2 strokes occurred. Furthermore, 0 AF-patients reported serious adverse effects of medication and no AF-patients deceased. Conclusions: Collaboration between cardiologists in a regional setting permits further improvement of AF care. Therefore, such quality targets are not exclusively reserved to large academic or referral hospitals. Although promising, future research should put effort in measuring the effectiveness of the outpatient AF clinics also on the long run.\u3c/p\u3

    Successful implementation of ehealth interventions in healthcare: Development of an ehealth implementation guideline

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    Introduction: eHealth interventions have the potential to improve the quality of healthcare and reduce costs. However, to implement eHealth interventions successfully instruments are needed to facilitate this process. This study aims to develop an eHealth implementation guideline for implementation of eHealth interventions in daily practice. Methods: In June and July 2019 a literature research was conducted and, subsequently, a two-round Delphi study including 13 international eHealth experts in the field of healthcare, ICT & technology, and research was performed. Within the Delphi study, experts scored specific determinants using an online survey. Based on mean scores and interquartile ranges (IQRs) in the online survey, consensus between the experts was assessed. Results: A total of five domains (i.e., Technology, Acceptance, Financing, Organizational, and Legislation & Policy) with 24 corresponding determinants were assessed by the experts. After the second Delphi round, consensus was achieved on the five domains and 23 determinants (mean scores ≄ 8; IQR ≀ 2). Only for the determinant ‘Evidence-Based Medicine’ was no consensus reached (mean score < 8; IQR = 2). Based on the 23 determinants, the eHealth implementation guideline is developed for eHealth implementations in healthcare in order to increase their effectiveness. Conclusion: The eHealth implementation guideline developed in this study may help healthcare providers/researchers assess the determinants of successful eHealth intervention prior to the implementation of the eHealth program
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