Kisch A I, Harris L J, Keeler E, Drew D E, Michnich M E, de Sola S F
Med Care. 1978 Dec;16(12):1027-35. doi: 10.1097/00005650-197812000-00006.
This article summarizes a new methodology recently developed by the Rand Corporation which permits health planners to assess the impact of the local health care system on the health status of the population. The methodology, in algorithm form, should assist health planners in developing objectives and actions related to the occurrence of selected health status indicators and should be amenable to health care interventions. Emphasis has been placed on developing a simplified, approximate analysis that health planners will find both feasible and effective. No detailed mathematic analyses are called for. The data required are, in most instances, readily obtainable. The algorithm is a methodology by which HSAs can investigate determinants of health status, identify breakdowns in the health care system, and specify needed improvements in the system. The goal of these algorithms is to assist HSAs to obtain valid and sufficiently detailed data that will provide a basis for monitoring breakdowns in the health care system and to improve planning decisions aimed at preventing such breakdowns. This should, in turn, affect population health status in the planning area.
本文总结了兰德公司最近开发的一种新方法，该方法可使卫生规划者评估当地医疗保健系统对人群健康状况的影响。这种算法形式的方法应有助于卫生规划者制定与选定健康状况指标的发生相关的目标和行动，并且应适用于医疗保健干预措施。重点在于开发一种简化的近似分析方法，卫生规划者会发现这种方法既可行又有效。无需进行详细的数学分析。在大多数情况下，所需数据很容易获得。该算法是一种方法，通过它健康状况评估机构（HSAs）可以调查健康状况的决定因素，识别医疗保健系统中的故障，并指明系统所需的改进之处。这些算法的目标是帮助健康状况评估机构获得有效且足够详细的数据，这些数据将为监测医疗保健系统中的故障提供依据，并改善旨在预防此类故障的规划决策。反过来，这应该会影响规划区域内人群的健康状况。
