Boosting population quits through evidence-based cessation treatment and policy.
Boosting population quits through evidence-based cessation treatment and policy.
复制标题
通过基于证据的停止治疗和政策来促进人口退出。
DOI：
10.1016/j.amepre.2009.12.011
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发表时间：
2010-03
影响因子：
5.5
通讯作者：
Orleans CT
中科院分区：
文献类型：
--
作者：
Abrams DB;Graham AL;Levy DT;Mabry PL;Orleans CT
只有大量增加成人戒烟才能迅速降低人口吸烟流行率。基于证据的戒烟治疗和治疗政策存在，但未得到充分利用。需要做更多的工作来协调有效治疗和政策的广泛、有效传播和执行。本文是三个系列中的第一个，以展示综合全面的系统方法对戒烟治疗和政策的影响。本文提供了一个分析框架和选定的文献综述，指导随后的两个计算机模拟建模文件，以显示如何关键的杠杆点可能会对吸烟率的降低产生影响。证据来自美国公共卫生服务2008年临床实践指南和其他来源，涉及五种戒烟治疗政策对戒烟尝试、循证治疗的使用和戒烟率的影响。戒烟治疗政策将：（1）扩大戒烟治疗的覆盖面和提供者的报销;（2）为使用和推广基于证据的国家赞助的戒烟热线提供充足的资金;（3）支持医疗保健系统的变革，以促进，指导和激励烟草治疗;（4）通过互联网支持和促进基于证据的治疗;和（5）改善个体定制的阶梯式护理方法和循证治疗的长期有效性。这一系列论文提供了一个分析框架，为启发式模拟模型提供信息，以便重新审视通过实施一套明确的治疗和治疗相关政策来显着增加人群戒烟的方法，这些政策有可能改善戒烟动机，循证治疗使用和长期有效性。
Only large increases in adult cessation will rapidly reduce population smoking prevalence. Evidence-based smoking-cessation treatments and treatment policies exist but are underutilized. More needs to be done to coordinate the widespread, efficient dissemination and implementation of effective treatments and policies. This paper is the first in a series of three to demonstrate the impact of an integrated, comprehensive systems approach to cessation treatment and policy. This paper provides an analytic framework and selected literature review that guide the two subsequent computer simulation modeling papers to show how critical leverage points may have an impact on reductions in smoking prevalence. Evidence is reviewed from the U.S. Public Health Service 2008 clinical practice guideline and other sources regarding the impact of five cessation treatment policies on quit attempts, use of evidence-based treatment, and quit rates. Cessation treatment policies would: (1) expand cessation treatment coverage and provider reimbursement; (2) mandate adequate funding for the use and promotion of evidence-based state-sponsored telephone quitlines; (3) support healthcare systems changes to prompt, guide, and incentivize tobacco treatment; (4) support and promote evidence-based treatment via the Internet; and (5) improve individually tailored, stepped-care approaches and the long-term effectiveness of evidence-based treatments. This series of papers provides an analytic framework to inform heuristic simulation models in order to take a new look at ways to markedly increase population smoking cessation by implementing a defined set of treatments and treatment-related policies with the potential to improve motivation to quit, evidence-based treatment use, and long-term effectiveness.