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本文引用的文献

1
Inpatient length of stay: a finite mixture modeling analysis.住院患者住院时间:有限混合模型分析。
Eur J Health Econ. 2010 Apr;11(2):119-26. doi: 10.1007/s10198-009-0153-6. Epub 2009 May 12.
2
Length of stay: an appropriate quality measure?住院时间:一项合适的质量指标?
Arch Surg. 2007 May;142(5):461-5; discussion 465-6. doi: 10.1001/archsurg.142.5.461.
3
Primary health care and hospital interactions: effects for hospital length of stay.初级卫生保健与医院的互动:对住院时间的影响。
Scand J Public Health. 2005;33(2):114-22. doi: 10.1080/14034940410019163.
4
Impact of an acute medical admission unit on length of hospital stay, and emergency department 'wait times'.急性内科收治单元对住院时间及急诊科“等待时间”的影响。
QJM. 2005 Apr;98(4):283-9. doi: 10.1093/qjmed/hci044. Epub 2005 Mar 10.
5
Resource utilisation, length of hospital stay, and pattern of investigation during acute medical hospital admission.急性内科住院期间的资源利用、住院时间及检查模式。
Postgrad Med J. 2004 Jan;80(939):23-6. doi: 10.1136/pmj.2003.007500.
6
Hospital admissions, length of stay, charges, and in-hospital death among patients with systemic sclerosis.系统性硬化症患者的住院情况、住院时长、费用及院内死亡情况。
J Rheumatol. 2001 Sep;28(9):2031-7.
7
Impact of age on perioperative complications and length of stay in patients undergoing noncardiac surgery.年龄对非心脏手术患者围手术期并发症及住院时间的影响。
Ann Intern Med. 2001 Apr 17;134(8):637-43. doi: 10.7326/0003-4819-134-8-200104170-00008.
8
Difference between observed and predicted length of stay as an indicator of inpatient care inefficiency.观察到的住院时间与预测的住院时间之间的差异作为住院护理效率低下的一个指标。
Int J Qual Health Care. 1999 Oct;11(5):375-84. doi: 10.1093/intqhc/11.5.375.
9
Risk factors for prolonged length of stay after major elective surgery.重大择期手术后住院时间延长的危险因素。
Ann Surg. 1999 Aug;230(2):251-9. doi: 10.1097/00000658-199908000-00016.
10
The effect of type of hospital and health insurance on hospital length of stay in Irbid, North Jordan.约旦北部伊尔比德地区医院类型和医疗保险对住院时间的影响。
Health Policy Plan. 1997 Jun;12(2):166-72. doi: 10.1093/heapol/12.2.166.

伊朗德黑兰女性医院患者的住院时间及其相关临床和非临床因素

Patients' length of stay in women hospital and its associated clinical and non-clinical factors, tehran, iran.

作者信息

Ravangard R, Arab M, Zeraati H, Rashidian A, Akbarisari A, Mostaan F

机构信息

Department of Health Management and Economics, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Iran Red Crescent Med J. 2011 May;13(5):309-15. Epub 2011 May 1.

PMID:22737486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3371979/
Abstract

BACKGROUND

Length of Stay (LOS) is an appropriate hospital indicator to evaluate hospital resource utilization rate, efficiency, and quality of services delivered. In this survey, we aimed to study hospital LOS and determine its association with clinical and non-clinical factors in Women Hospital in Tehran.

METHODS

In this cross-sectional study, we reviewed all 3421 charts of patients admitted in Oncology, Surgery and Obstetrics units in 2008. We used a data collection sheet and conducted interviews to collect the following data: distance from living area, medical insurance coverage types, admission and discharge months, days and times, inpatient units, final diagnoses and the number of diagnostic tests.

RESULTS

The overall median of the LOS in the studied hospital was 50.8 hours. The medians were 48.5, 54.4, and 94.2 hours in the Obstetrics, Surgical and Oncology units, respectively. Results showed that the associated factors with the LOS were patient admissions on Thursdays, admitting by residents, the number of performed diagnostic tests (p<0.001), suffering from neoplastic diseases (p=0.005) and spouse jobs.

CONCLUSION

Among the associated factors, policy makers and managers can only change the admission days and the number of diagnostic tests to decrease the LOS. Further researches are needed to find other factors associated with LOS.

摘要

背景

住院时间(LOS)是评估医院资源利用率、效率及所提供服务质量的一项合适的医院指标。在本次调查中,我们旨在研究德黑兰妇女医院的住院时间,并确定其与临床和非临床因素的关联。

方法

在这项横断面研究中,我们查阅了2008年肿瘤、外科和产科病房收治的所有3421例患者的病历。我们使用数据收集表并进行访谈以收集以下数据:居住地区距离、医疗保险覆盖类型、入院和出院月份、日期和时间、住院科室、最终诊断以及诊断检查数量。

结果

所研究医院的住院时间总体中位数为50.8小时。产科、外科和肿瘤科的中位数分别为48.5小时、54.4小时和94.2小时。结果显示,与住院时间相关的因素包括周四入院、住院医师收治、诊断检查数量(p<0.001)、患有肿瘤疾病(p=0.005)以及配偶职业。

结论

在这些相关因素中,政策制定者和管理者只能通过改变入院日期和诊断检查数量来缩短住院时间。需要进一步研究以找出与住院时间相关的其他因素。