A Community-Engaged Approach to Collecting Rural Health Surveillance Data
A Community-Engaged Approach to Collecting Rural Health Surveillance Data
复制标题
DOI：
10.1111/jrh.12185
复制
发表时间：
2017-06-01
影响因子：
4.9
通讯作者：
Marshall, Julie A.
中科院分区：
文献类型：
--
作者：
Puma, Jini E.;Belansky, Elaine S.;Marshall, Julie A.
为了使社区能够就资源分配、所需服务和干预优先事项做出与健康相关的数据驱动决策，他们需要准确了解居民的健康状况。虽然州和国家卫生监督系统可以帮助当地社区做出数据驱动的卫生决策，但农村社区面临着独特的挑战，包括：（1）县级数据有限;（2）人口中代表性不足;（3）缺乏解决当地卫生问题的调查项目。本研究的目的是采取社区参与的方法来收集人口为基础的健康状况数据在农村地区，努力解决这些独特的challenges.MethodsUsing一个基于社区的参与性研究（CBPR）的方法，超过1,500名居民从6个农村和边境县随机选择了分层，多阶段的集群研究设计。调查主要是通过电话完成的。FindingsResponse率从59%到80%不等（总体= 66%）。男性和年轻人（18-24奥尔兹）在样本中的代表性不足，但西班牙裔，低收入居民和手机用户有足够的代表性。慢性病和健康行为的患病率各不相同的country.ConclusionsThe的影响，这个项目是参与社区监测工作的利益相关者增加了质量，相关性和实用性的信息收集，可以帮助达到否则难以到达的人群。这可以更准确地了解居民的健康状况，从而可以就资源分配、所需服务和干预优先事项做出与健康相关的、数据驱动的决策。
PurposeIn order for communities to make health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities, they need an accurate picture of the health status of residents. While state and national health surveillance systems exist to help local communities make data-driven health decisions, rural communities face unique challenges including: (1) limited county-level data; (2) underrepresented segments of the population; and (3) a lack of survey items to address local health concerns. The purpose of this study was to take a community-engaged approach to collecting population-based health status data in a rural area in an effort to address some of these unique challenges.MethodsUsing a community-based participatory research (CBPR) approach, over 1,500 residents from 6 rural and frontier counties were randomly selected with a stratified, multistage cluster study design. Surveys were primarily completed over the phone.FindingsResponse rates by county ranged from 59% to 80% (overall = 66%). Males and younger adults (18-24 year olds) were underrepresented in the sample, but Hispanics, low-income residents, and cell phone-only users were adequately represented. Prevalence rates for chronic disease and health behavior varied by county.ConclusionsThe implications of this project are that engaging stakeholders in community surveillance efforts increases the quality, relevance and utility of the information collected and can help reach otherwise difficult-to-reach populations. This can result in a more accurate picture of the health status of residents, which can lead to making health-related, data-driven decisions concerning resource allocation, needed services, and intervention priorities.