Ramanadhan Shoba, Viswanath Kasisomayajula
Research Scientist, Center for Community-Based Research, Dana-Farber Cancer Institute, 450 Brookline Ave., LW 703, Boston, MA 02215, 617.582.7971.
Transl Behav Med. 2013 Jun 1;3(2):180-188. doi: 10.1007/s13142-012-0191-y.
Priority setting, or determining how to best allocate limited resources, is an important first step for evidence-based public health approaches in community-based organizations (CBOs), but guidance for such work is limited. This study aims to study drivers of priority setting and the way CBOs use data for this work. Data come from PLANET MassCONECT, a Community-Based Participatory Research project focused on knowledge translation among CBOs targeting the underserved in Boston, Lawrence, and Worcester, MA. We conducted four focus group discussions with CBO staff members (31 participants) in 2008 and a survey of 214 CBO staff members in 2009. Multiple, often competing factors appear to drive priority setting, including data, funding, partnerships, and community preferences. The process may be hindered by challenges related to finding, evaluating, and utilizing data for priority setting. Supporting CBOs in efforts to use data effectively and incorporate context into systematic priority-setting processes is vital.
确定优先事项,即决定如何最佳分配有限资源,是社区组织(CBO)中基于循证的公共卫生方法的重要第一步,但此类工作的指导有限。本研究旨在探讨确定优先事项的驱动因素以及CBO如何将数据用于此项工作。数据来自PLANET MassCONECT,这是一个基于社区的参与性研究项目,专注于在马萨诸塞州波士顿、劳伦斯和伍斯特针对服务不足人群的CBO之间进行知识转化。我们在2008年与CBO工作人员(31名参与者)进行了四次焦点小组讨论,并在2009年对214名CBO工作人员进行了调查。多种因素,且这些因素往往相互竞争,似乎在驱动着优先事项的确定,包括数据、资金、伙伴关系和社区偏好。在为确定优先事项寻找、评估和利用数据方面存在的挑战可能会阻碍这一过程。支持CBO有效利用数据并将背景信息纳入系统的优先事项确定过程至关重要。