17 research outputs found

    Incremental costs and effects per abstinent smoker and per QALY gained for the video-, text-based and control condition with a willingness-to-pay threshold of €18,000.

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    a<p>coded as 2 =  prolonged abstinent and 1 not prolonged abstinent,</p>b<p>incremental number of abstinence/QALY,</p>c<p>per abstinent respondent, calculated according to the formula ICER/ICUR = (Ci-Cc)/Ei-Ec),</p>d<p>dominated =  less costs, more effects compared to the other condition,</p>e<p>based on the Dutch algorithm for the EQ-5D-3L scores.</p><p>Incremental costs and effects per abstinent smoker and per QALY gained for the video-, text-based and control condition with a willingness-to-pay threshold of €18,000.</p

    Facilitators.

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    <p>F1) A patient that you know for a longer time. F2) A patient that you see with a higher frequency of visits. F3) A child with known increased risk of respiratory diseases. F4) A child that presents for consultation with asthmatic complaints. F5) A family with a history of sudden infant death syndrome. F6) A child that presents for consultation with otitis media with effusion. F7) The smell of tobacco around the child and/or parents. F8) Parents with visible presence of smoking accessories. (P  =  paediatricians; YHCPs  =  youth health care physicians; FPs  =  family physicians; Tot  =  total). *Significant group differences for F1 (F(2,230) = 6.812 <i>p</i> = 0.001), F2 (F(2,230) = 9.673 <i>p</i><0.001), F5 (F(2,230) = 7.978 <i>p</i><0.001) and F6 (F(2,230) = 11.050 <i>p</i><0.001).</p

    Frequency of addressing passive smoke exposure in children.

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    <p>The percentages of all the physicians (P  =  Paediatricians; YHCPs  =  youth health care physicians; FPs  =  family physicians) per frequency category are noted in the last columns. There were no significant differences between the three health professions (F(2,1) = 1.59, p = 0.206).</p

    Mean annual costs <sup>a</sup> per respondent in the video-, text-based and control condition.

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    a<p>Volumes and prices details are available upon request,</p>b<p>based on 5000 bootstrap replications.</p><p>Mean annual costs <sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110117#nt105" target="_blank">a</a></sup> per respondent in the video-, text-based and control condition.</p

    Mean annual effect on smoking abstinence and QALY in the video-, text-based and control condition (intention to treat).

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    a<p>Based on the Dutch algorithm for EQ-5D-3L scores.</p><p>Mean annual effect on smoking abstinence and QALY in the video-, text-based and control condition (intention to treat).</p

    Intervention design.

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    <p>Legend: T = time, BL = Baseline, QD =  Quit date, 1 m = 1 month, 2 m = 2 months.</p

    Relationship between each facilitator and providing advice.

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    <p>OR  =  odds ratio; 95% CI  =  95% confidence interval; * p<0.05; Adjusted for: sex, specialism, education on PS counselling, current smoking; “-” logistic regression analysis not possible due to small sample size.</p

    Number of reported facilitators and their association with addressing passive smoke (PS) exposure.

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    #<p>Numbers do not add up to 245 due to the exclusion of 11 physicians who never address PS exposure in children. OR  =  Odds Ratios; 95% CI  =  95% confidence interval; *<i>p</i><0.05.</p

    Characteristics.

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    <p>Missing values: N = 4 did not provide their specialty. Other missing values are presented as unknown in the table. PS  =  passive smoke.</p><p>* = p<0.05.</p
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