Reduced list costings: Examination of an informed short cut in mental health research
检验了一种简化清单成本法，通过聚焦关键服务可预测大部分护理总成本（出院长期住院患者94%，社区精神科护士支持者91%），为心理健康研究提供低成本获取有效成本数据的捷径。
The demands for cost information in health services are many and various but the supply of such information is less than might be expected and is compounded by the expense of undertaking costs research. This paper examines a short cut to mental health research which, if certain rules and conventions are obeyed, can still produce valid costs data. By distilling evidence from previous research a reduced list of services is identified which accounts for the greater part of the total costs of care packages. By concentrating on these key services, 94 per cent of the total costs of care were predicted for discharged long-stay patients and no less than 91 per cent for people supported by community psychiatric nurses. The results suggest that this reduced list method can work well where the aim is to obtain broad orders of magnitude for the costs of care. By reducing the resources required for research, the approach could expand the current costs information base and move towards meeting the pressing practice demands for costs data.