影响阿巴斯港妇女专科医院住院时间的因素

T. Baniasadi, Kobra Kahnouji
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引用次数: 1

摘要

目的:随着医疗成本的快速增长,政府和其他医疗服务提供者寻求控制成本和评估医疗服务系统绩效的解决方案。住院时间(LOS)是确定医院资源效率和优化利用的有效指标之一。本研究旨在确定影响阿巴斯市专科妇女医院LOS的因素。方法:选取2015年4月至2015年12月在沙里亚蒂医院住院的500例患者病历,采用分层抽样的比例分配方法。数据收集自患者的医疗记录和HIS。使用描述性统计以及Kruskal-Wallis、Mann-Whitney和Spearman相关系数对数据进行分析。结果:总平均住院时间为1.98±1.93天。结果显示,该院早晚住院时间、不同住院原因、住院类型、住院医师学历等因素之间存在显著相关关系(p值<0.05)。Spearman相关系数显示,随着咨询次数、就诊次数和实验室检查次数的增加,住院时间也增加(p值<0.001)。结论:本研究揭示了影响该院LOS的因素。考虑到入院时间、诊断服务和入院类型等变量之间的关系,决策者和行政人员似乎能够通过在一天中的所有时间提供足够的专业服务人员,调查一些实验室测试和诊断服务的必要性并审查流程,减少在晚上和夜间收治非紧急病例,从而减少在这家医院的不必要住院。使用卫生信息技术干预措施。
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Factors Affecting length of Stay in Specialized Women Hospital in Bandar Abbas
Aim: With the rapid increase in health care costs, the government and other healthcare providers have sought a solution to control costs and evaluate the performance of healthcare providing system. One of the effective indicators that can be used to determine the efficiency and optimal use of hospital resources, is the length of stay (LOS). This study aimed to determine the factors affecting LOS in Specialized Women Hospital in Bandar Abbas. Methods: The sample included medical records of 500 inpatients admitted to Shariati hospital from April 2015 to December 2015 selected by proportional allocation in stratified sampling. The data were collected from patients’ medical records and HIS. The data were analyzed using descriptive statistics as well as Kruskal-Wallis, Mann-Whitney, and Spearman correlation coefficients. Results: The overall average length of stay was 1.98±1.93 days. The results showed that in this hospital the factors such as the length of stay between the morning and the evening admission, different causes of hospitalization, admission type, and admitting physician degree had a significant relationship (P-Value<0.05). Spearman correlation coefficient showed with increasing number of counseling, visits, and laboratory tests the length of stay also increased (P-Value<0.001). Conclusion: this study showed the factors affecting LOS in this hospital. Given the relationship between variables such as time of admission, diagnostic services, and type of admission with LOS, it seems that policymakers and executives are able to reduce the unnecessary stays in this hospital with providing adequate staffing for specialized services in all hours of the day, investigating the necessity of some laboratory tests, diagnostic services and review the processes, reducing admission of non-emergency cases in the evening and night, and using health information technology interventions.
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