Pluto Delores M, Phillips Martha M, Matson-Koffman Dyann, Shepard Dennis M, Raczynski James M, Brownstein J Nell
Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia 29208, USA.
Prev Chronic Dis. 2004 Apr;1(2):A05. Epub 2004 Mar 15.
Investigators in South Carolina and Alabama assessed the availability of data for measuring 31 policy and environmental indicators for heart disease and stroke prevention. The indicators were intended to determine policy and environmental support for adopting heart disease and stroke prevention guidelines and selected risk factors in 4 settings: community, school, work site, and health care.
Research teams used literature searches and key informant interviews to explore the availability of data sources for each indicator. Investigators documented the following 5 qualities for each data source identified: 1) the degree to which the data fit the indicator; 2) the frequency and regularity with which data were collected; 3) the consistency of data collected across time; 4) the costs (time, money, personnel) associated with data collection or access; and 5) the accessibility of data.
Among the 31 indicators, 11 (35%) have readily available data sources and 4 (13%) have sources that could provide partial measurement. Data sources are available for most indicators in the school setting and for tobacco control policies in all settings.
Data sources for measuring policy and environmental indicators for heart disease and stroke prevention are limited in availability. Effort and resources are required to develop and implement mechanisms for collecting state and local data on policy and environmental indicators in different settings. The level of work needed to expand data sources is comparable to the extensive work already completed in the school setting and for tobacco control.
南卡罗来纳州和阿拉巴马州的研究人员评估了用于衡量31项心脏病和中风预防政策及环境指标的数据的可得性。这些指标旨在确定在社区、学校、工作场所和医疗保健这4种环境中对采用心脏病和中风预防指南及选定风险因素的政策和环境支持。
研究团队通过文献检索和关键信息提供者访谈来探索每个指标的数据源的可得性。研究人员记录了所确定的每个数据源的以下5个特性:1)数据符合指标的程度;2)数据收集的频率和规律性;3)不同时间收集的数据的一致性;4)与数据收集或获取相关的成本(时间、金钱、人员);5)数据的可获取性。
在这31项指标中,11项(35%)有现成的数据源,4项(13%)有能提供部分测量的数据源。学校环境中的大多数指标以及所有环境中的烟草控制政策都有数据源。
用于衡量心脏病和中风预防政策及环境指标的数据源的可得性有限。需要付出努力和资源来开发和实施在不同环境中收集有关政策和环境指标的州和地方数据的机制。扩大数据源所需的工作量与学校环境和烟草控制方面已经完成的大量工作相当。