Fidelity of delivery of a physical activity intervention: Predictors and consequences

Fidelity of delivery of a physical activity intervention: Predictors and consequences
复制标题

DOI:
10.1080/08870440701615948
复制
发表时间:
2008-01-01
影响因子:
3.3
通讯作者:
Kinmonth, Ann Louise
Kinmonth, Ann Louise
中科院分区:
医学3区
文献类型:
--
作者:
Hardeman, Wendy;Michie, Susan;Kinmonth, Ann Louise

文献摘要

被引文献

相似文献

评估行为干预措施的忠实性很重要,但要求很高,而且很少这样做。本研究评估了在增加久坐成年人体力活动的干预中使用的行为改变技术的依从性(ProActive; N = 365)。108次会议的成绩单与27名参与者的子样本进行了评估。一个独立的评估员编码坚持四个“促进者”谁提供了干预208协议规定的促进者行为(例如“引起感知优势变得更加活跃”)在四个关键会话。四名评分员将208种行为分为14种技术(例如,目标设定、奖励的使用)以使得能够计算对技术的坚持。观察到的参与者对技术的依从性是适度的(中位数44%,IQR 35-62%),低于主持人报告的水平。协调员之间的依从性存在差异(范围:26-63%),并且在四次会议中下降(每次会议平均下降9%,95%置信区间7-11%)。在这个小样本中,主持人的坚持与参与者的身体活动或其认知预测因素(变化)无关:态度,主观规范,感知行为控制和意图。未来的研究应该调查更大样本中保真度指标和结果之间的因果关系,并开发和测试保真度的强度较低的措施。
Assessing fidelity of behavioural interventions is important, but demanding and rarely done. This study assessed adherence to behaviour change techniques used in an intervention to increase physical activity among sedentary adults (ProActive; N = 365). Transcripts of 108 sessions with a sub-sample of 27 participants were assessed. An independent assessor coded adherence of four 'facilitators' who delivered the intervention to 208 protocol-specified facilitator behaviours (e.g. 'elicit perceived advantages of becoming more active') in four key sessions. Four raters classified the 208 behaviours under 14 techniques (e.g., goal setting, use of rewards) to enable calculation of adherence to techniques. Observed adherence to techniques across participants was modest (median 44%, IQR 35-62%), and lower than that reported by facilitators. Adherence differed between facilitators (range: 26-63%) and decreased across the four sessions (mean drop 9% per session, 95% confidence interval 7-11%). In this small sample facilitator adherence was unrelated to (change in) participants' physical activity or its cognitive predictors: Attitudes, subjective norm, perceived behavioural control and intention. Future research should investigate causal pathways between fidelity indicators and outcomes in larger samples and develop and test less intensive measures of fidelity.