Standard workload-based estimation of nursing manpower requirement in the ICU of a tertiary care teaching hospital: A time and motion study

基于标准工作量的ICU护理人力需求估算:一项时间动作研究

阅读:1

Abstract

BACKGROUND: The safety of patients remain at risk due to a higher workload and lower nurse-to-patient ratio. However, in India, most hospitals still adhere to long-known nurse staffing norms set by their statutory or accreditation bodies. Therefore, the present study was undertaken to recommend a standard workload-based estimation of nursing manpower requirement in the ICU of a tertiary care teaching hospital. MATERIALS AND METHODS: It was a descriptive, observational, time and motion study was conducted in the medicine ICU of a tertiary care teaching hospital. Data collection was done by using demographic and clinical profile sheet of patients, NPDS-H dependency assessment scale, time and activities record sheet, and WHO WISN tool. The nurses' activities were observed by nonparticipatory and non-concealment technique. Data analysis was done using descriptive statistics and the WHO WISN tool. RESULTS: The bed occupancy rate and the average length of stay in the medicine ICU were 93.23% and 7.18 days respectively. Distribution of dependency level of the medical ICU patients was very high (41.67%), low-high (33.33%), and medium-high (25.0%) dependency level. Considering available resources and workload in tertiary care hospitals in India, the study recommended a nurse-to-patient ratio of 1:1.2 in each shift for the medicine ICU of a tertiary care hospital. CONCLUSION: The study suggested minimum nurse-to-patient ratio in medical ICU should be 1:1.2 with provision of power to ICU incharge nurse to allocate nurses according to the workload in different shifts. Also, nurse staffing norms in hospitals need to be estimated or selected with serious consideration of health care demands when employing nurse staffing norms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。