Abstract:
OBJECTIVES:Intervention Modeling Experiments (IMEs) are a way of developing and testing behavior change interventions before a trial. We aimed to test this methodology in a Web-based IME that replicated the trial component of an earlier, paper-based IME. STUDY DESIGN AND SETTING:Three-arm, Web-based randomized evaluation of two interventions (persuasive communication and action plan) and a "no intervention" comparator. The interventions were designed to reduce the number of antibiotic prescriptions in the management of uncomplicated upper respiratory tract infection. General practitioners (GPs) were invited to complete an online questionnaire and eight clinical scenarios where an antibiotic might be considered. RESULTS:One hundred twenty-nine GPs completed the questionnaire. GPs receiving the persuasive communication did not prescribe an antibiotic in 0.70 more scenarios (95% confidence interval [CI] = 0.17-1.24) than those in the control arm. For the action plan, GPs did not prescribe an antibiotic in 0.63 (95% CI = 0.11-1.15) more scenarios than those in the control arm. Unlike the earlier IME, behavioral intention was unaffected by the interventions; this may be due to a smaller sample size than intended. CONCLUSIONS:A Web-based IME largely replicated the findings of an earlier paper-based study, providing some grounds for confidence in the IME methodology.
journal_name
J Clin Epidemioljournal_title
Journal of clinical epidemiologyauthors
Treweek S,Francis JJ,Bonetti D,Barnett K,Eccles MP,Hudson J,Jones C,Pitts NB,Ricketts IW,Sullivan F,Weal M,MacLennan Gdoi
10.1016/j.jclinepi.2016.07.008subject
Has Abstractpub_date
2016-12-01 00:00:00pages
116-122eissn
0895-4356issn
1878-5921pii
S0895-4356(16)30233-5journal_volume
80pub_type
杂志文章,随机对照试验abstract::The present paper analyses the epidemiologic effects of mass breast cancer screening. Mass mammography may possibly achieve a breast cancer mortality reduction in relative risk terms. However, this does not necessarily represent a net benefit. It is argued that the benefits and adverse effects of a screening programme...
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abstract::Mortality in relation to body mass index (BMI) was studied in 17,159 healthy Finnish women aged 25-79 followed up for a median of 12 years. Mortality from all cases was related to BMI only in non-smokers aged 25-64, among whom the mortality pattern was "U"-shaped, with a minimum in the second quintile of BMI (the refe...
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