Tabak Rachel G, Parks Renee G, Allen Peg, Jacob Rebekah R, Mazzucca Stephanie, Stamatakis Katherine A, Poehler Allison R, Chin Marshall H, Dobbins Maureen, Dekker Debra, Brownson Ross C
Prevention Research Center in St Louis, Brown School, Washington University in St Louis, St Louis, Missouri, USA.
Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St Louis, Missouri, USA.
BMJ Open Diabetes Res Care. 2018 Sep 5;6(1):e000558. doi: 10.1136/bmjdrc-2018-000558. eCollection 2018.
The nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs.
A cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models.
Among 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19)).
Supporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide.
全国近3000个地方卫生部门(LHD)是公共卫生的前线,有能力实施基于证据的糖尿病控制干预措施(EBI)。然而,目前对于LHD中与糖尿病相关的EBI的使用情况知之甚少。本研究采用全国在线调查来确定疾病控制与预防中心社区指南推荐的LHD糖尿病控制EBI的模式及相关因素。
开展一项横断面研究,对LHD的分层随机样本进行调查,内容包括部门特征、受访者特征、LHD内基于证据的决策制定,以及五类(糖尿病相关、营养、身体活动、肥胖和烟草)EBI的实施情况(直接实施或合作实施)。使用逻辑回归模型探讨实施EBI与受访者、LHD特征以及基于证据的决策制定之间的关联。
在240个LHD中,所实施的EBI存在很大差异。该州的糖尿病患病率与提供糖尿病预防项目(OR=1.28(95%CI 1.02至1.62))、糖尿病自我管理教育(OR=1.32(95%CI 1.04至1.67))以及识别患者和确定治疗方案(OR=1.27(95%CI 1.05至1.54))呈正相关。虽然所有支持基于证据的决策制定因素的组织支持都呈正向关联,但唯一显著的关联是评估能力与识别糖尿病患者和确定有效治疗方案之间(OR=1.54(95%CI 1.08至2.19))。
支持基于证据的决策制定并促使更多LHD实施这些EBI有助于在全国范围内控制糖尿病。