The University of Alabama at Birmingham, School of Nursing, 1530 3rd Avenue S., Birmingham, AL 35294-1210, USA.
J Nurs Scholarsh. 2010 Dec;42(4):358-66. doi: 10.1111/j.1547-5069.2010.01364.x. Epub 2010 Oct 1.
The purpose of this paper is to describe the creation, evolution, and implementation of a database of nursing-sensitive and potentially nursing-sensitive indicators, the Military Nursing Outcomes Database (MilNOD). It discusses data quality, utility, and lessons learned.
DESIGN/METHODS: Prospective data collected each shift include direct staff hours by levels (i.e., registered nurse, other licensed and unlicensed providers), staff categories (i.e., military, civilian, contract, and reservist), patient census, acuity, and admissions, discharges, and transfers. Retrospective adverse event data (falls, medication errors, and needle-stick injuries) were collected from existing records. Annual patient satisfaction, nurse work environment, and pressure ulcer and restraint prevalence surveys were conducted.
The MilNOD contains shift level data from 56 units in 13 military hospitals and is used to target areas for managerial and clinical performance improvement. This methodology can be modified for use in other healthcare systems.
As standard tools for evidence-based management, databases such as MilNOD allow nurse leaders to track the status of nursing and adverse events in their facilities.
本文旨在描述一个护理敏感和潜在护理敏感指标数据库——军事护理结果数据库（MilNOD）的创建、演变和实施过程。它讨论了数据质量、实用性和经验教训。
设计/方法：每班次收集的前瞻性数据包括按级别（即注册护士、其他持牌和无证提供者）和人员类别（即军人、文职人员、合同工和预备役人员）分配的直接员工工时、患者人数、病情严重程度和入院、出院和转院情况。从现有记录中收集了回顾性不良事件数据（跌倒、用药错误和针刺伤）。每年进行患者满意度、护士工作环境以及压疮和约束流行率调查。
MilNOD 包含来自 13 家军事医院 56 个单位的班次数据，用于确定管理和临床绩效改进的目标领域。这种方法可以修改后用于其他医疗保健系统。
作为循证管理的标准工具，MilNOD 等数据库使护理领导者能够跟踪其设施中护理和不良事件的状况。
