Skouroliakou Maria, Soloupis George, Gounaris Antonis, Charitou Antonia, Papasarantopoulos Petros, Markantonis Sophia L, Golna Christina, Souliotis Kyriakos
Harokopion University, Athens, Greece.
Perspect Health Inf Manag. 2008 Jul 28;5:10.
This study assesses the results of implementation of a software program that allows for input of admission/discharge summary data (including cost) in a neonatal intensive care unit (NICU) in Greece, based on the establishment of a baseline statistical database for infants treated in a NICU and the statistical analysis of epidemiological and resource utilization data thus collected.
A software tool was designed, developed, and implemented between April 2004 and March 2005 in the NICU of the LITO private maternity hospital in Athens, Greece, to allow for the first time for step-by-step collection and management of summary treatment data. Data collected over this period were subsequently analyzed using defined indicators as a basis to extract results related to treatment options, treatment duration, and relative resource utilization.
Data for 499 babies were entered in the tool and processed. Information on medical costs (e.g., mean total cost +/- SD of treatment was euro310.44 +/- 249.17 and euro6704.27 +/- 4079.53 for babies weighing more than 2500 g and 1000-1500 g respectively), incidence of complications or disease (e.g., 4.3 percent and 14.3 percent of study babies weighing 1,000 to 1,500 g suffered from cerebral bleeding [grade I] and bronchopulmonary dysplasia, respectively, while overall 6.0 percent had microbial infections), and medical statistics (e.g., perinatal mortality was 6.8 percent) was obtained in a quick and robust manner.
The software tool allowed for collection and analysis of data traditionally maintained in paper medical records in the NICU with greater ease and accuracy. Data codification and analysis led to significant findings at the epidemiological, medical resource utilization, and respective hospital cost levels that allowed comparisons with literature findings for the first time in Greece. The tool thus contributed to a clearer understanding of treatment practices in the NICU and set the baseline for the assessment of the impact of future interventions at the policy or hospital level.
本研究基于为新生儿重症监护病房（NICU）接受治疗的婴儿建立基线统计数据库以及对所收集的流行病学和资源利用数据进行统计分析，评估一款软件程序在希腊一家新生儿重症监护病房实施的效果，该软件可用于录入入院/出院总结数据（包括费用）。
2004年4月至2005年3月期间，在希腊雅典LITO私立妇产医院的新生儿重症监护病房设计、开发并实施了一个软件工具，首次实现对总结治疗数据的逐步收集和管理。随后，以定义的指标为基础，对这一期间收集的数据进行分析，以提取与治疗方案、治疗时长和相对资源利用相关的结果。
499名婴儿的数据录入该工具并进行了处理。快速且可靠地获得了有关医疗费用（例如，体重超过2500克和1000 - 1500克婴儿的平均总治疗费用分别为310.44欧元±249.17欧元和6704.27欧元±4079.53欧元）、并发症或疾病发生率（例如，体重1000至1500克的研究婴儿中，分别有4.3%和14.3%患有脑出血[I级]和支气管肺发育不良，而总体上6.0%有微生物感染）以及医学统计数据（例如，围产期死亡率为6.8%）等信息。
该软件工具能够更轻松、准确地收集和分析新生儿重症监护病房传统纸质病历中保存的数据。数据编码和分析在流行病学、医疗资源利用以及各自医院成本层面得出了重要发现，这使得希腊首次能够与文献研究结果进行比较。该工具有助于更清晰地了解新生儿重症监护病房的治疗实践，并为评估未来政策或医院层面干预措施的影响奠定了基线。
