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Improving the delivery of brief interventions for heavy drinking in primary health care: outcome results of the Optimizing Delivery of Health Care Intervention (ODHIN) five-country cluster randomized factorial trial

机译:改善初级卫生保健中大量饮酒的简短干预措施的提供:优化卫生保健干预措施(ODHIN)五国集群随机析因试验的结果

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摘要

AbstractAimTo test if training and support, financial reimbursement and option of referring screen-positive patients to an internet-based method of giving advice (eBI) can increase primary health-care providers' delivery of Alcohol Use Disorders Identification Test (AUDIT)-C-based screening and advice to heavy drinkers.DesignCluster randomized factorial trial with 12-week implementation and measurement period.SettingPrimary health-care units (PHCU) in different locations throughout Catalonia, England, the Netherlands, Poland and Sweden.ParticipantsA total of 120 PHCU, 24 in each of Catalonia, England, the Netherlands, Poland and Sweden.InterventionsPHCUs were randomized to one of eight groups: care as usual, training and support (TS), financial reimbursement (FR) and eBI; paired combinations of TS, FR and eBI, and all of FR, TS and eBI.MeasurementsThe primary outcome measure was the proportion of eligible adult (age 18+ years) patients screened during a 12-week implementation period. Secondary outcome measures were proportion of screen-positive patients advised; and proportion of consulting adult patients given an intervention (screening and advice to screen-positives) during the same 12-week implementation period.FindingsDuring a 4-week baseline measurement period, the proportion of consulting adult patients who were screened for their alcohol consumption was 0.059 per PHCU (95% CI 0.034 to 0.084). Based on the factorial design, the ratio of the logged proportion screened during the 12-week implementation period was 1.48 (95% CI = 1.13–1.95) in PHCU that received TS versus PHCU that did not receive TS; for FR, the ratio was 2.00 (95% CI = 1.56–2.56). The option of referral to eBI did not lead to a higher proportion of patients screened. The ratio for TS plus FR was 2.34 (95% CI = 1.77–3.10), and the ratio for TS plus FR plus eBI was1.68 (95% CI = 1.11–2.53).ConclusionsProviding primary health-care units with training, support and financial reimbursement for delivering Alcohol Use Disorders Identification Test-C-based screening and advice to heavy drinkers increases screening for alcohol consumption. Providing primary health-care units with the option of referring screen-positive patients to an internet-based method of giving advice does not appear to increase screening for alcohol consumption.
机译:摘要目的旨在测试培训和支持,财务报销以及将筛查阳性患者转介至基于互联网的咨询方法(eBI)的选择是否可以增加初级卫生保健提供者对酒精使用障碍识别测试(AUDIT)-C-为重度饮酒者提供的筛查和建议.DesignCluster随机因子分析试验,实施和评估期为12周。在加泰罗尼亚,英格兰,荷兰,波兰和瑞典的不同地区设置初级保健单位(PHCU),参与者总计120名,加泰罗尼亚,英格兰,荷兰,波兰和瑞典各有24个。干预措施CUCU被随机分为八组之一:照常照料,培训和支持(TS),财务报销(FR)和eBI; TS,FR和eBI以及所有FR,TS和eBI的配对组合。测量主要的结局指标是在实施12周期间筛查的合格成人(18岁以上)患者的比例。次要结果指标为建议筛查阳性患者的比例;在相同的12周实施期间内接受咨询(筛查和筛查阳性患者的筛查和建议)的咨询成年患者的比例和调查结果。在4周的基线测量期内,接受酒精饮料筛查的咨询成年患者的比例为每个PHCU 0.059(95%CI 0.034至0.084)。基于析因设计,在接受TS的PHCU与未接受TS的PHCU中,在实施12周实施期间筛查的记录比例的比率为1.48(95%CI = 1.13–1.95)。对于FR,该比率为2.00(95%CI = 1.56-2.56)。转诊至eBI的选择并未导致更高比例的筛查患者。 TS + FR的比例为2.34(95%CI = 1.77–3.10),TS + FR + eBI的比例为1.68(95%CI = 1.11–2.53)。结论为初级卫生保健部门提供了培训,支持以及为向酗酒者提供基于酒精使用障碍物识别测试C的筛查和建议而提供的财务报销,可以增加对酒精消耗的筛查。向基层医疗机构提供选择,让筛查阳性患者转介基于互联网的咨询方法,似乎并没有增加对酒精消耗的筛查。

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