Testing the long-term effects of the Go Sun Smart worksite health communication campaign:: A group-randomized experimental study

Testing the long-term effects of the Go Sun Smart worksite health communication campaign:: A group-randomized experimental study
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DOI:
10.1111/j.1460-2466.2008.00394.x
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发表时间:
2008-09-01
影响因子:
7.9
通讯作者:
Dignan, Mark B.
Dignan, Mark B.
中科院分区:
人文科学2区
文献类型:
--
作者:
Andersen, Peter A.;Buller, David B.;Dignan, Mark B.

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这项研究探讨了Go Sun Smart(GSS)运动的长期影响,这是一项大规模的健康传播干预措施,旨在促进北美西部26个滑雪场员工的安全。员工参加配对配对组随机前测后测控制设计与2个后续调查。一半的滑雪场被随机分配在冬季实施GSS。本文报告了分层线性设计的分析,其中1,463名员工在次年夏季结束时完成了第二次后续调查(69%的人完成了第一次后测)。GSS继续对夏季在干预滑雪区工作的员工产生积极影响。暴露于GSS的员工报告较少晒伤,从事更多的西装安全行为,更了解该计划,并有更多的讨论在家里比员工在匹配的控制组度假村的阳光安全。GSS的长期影响支持建议在工作场所实施西装保护计划,但这些计划应该以高保真度实施,以实现最大效益。尽管由于无反应,地理,测量和种族的限制,分层聚类设计提高了内部效度和研究结果的普遍性。
This study examined the long-term effects of the Go Sun Smart (GSS) campaign, a large-scale health communication intervention designed to promote suit safety to employees at 26 ski areas in western North America. Employees were enrolled in a pair-matched group-randomized pretest-post test controlled design with 2 follow-up surveys. Half of the ski areas were randomly assigned to implement GSS in the winter. This article reports analyses of a hierarchical linear design with responses from 1,463 employees who completed the second follow-up Survey at the end of the following summer (69% of those who completed the first posttest). GSS continued to have positive effects on employees who worked at intervention ski areas into the summer. Employees exposed to GSS reported less sunburning, engaged in more suit safety behaviors, were more aware of the program, and had more discussions of sun safety at home than employees at matched control group resorts. The long-term effects of GSS support recommending that suit protection programs be implemented at workplaces, but such programs should be implemented with high fidelity to achieve maximum benefits. Despite limitations due to nonresponse, geography, measurement, and ethnicity, the hierarchical clustered design improved the internal validity and generalizability of the findings.