Magsumbol Melina S, Singh Archna, Ghosh Arpita, Kler Neelam, Garg Pankaj, Thakur Anup, Beg Arshad, Srivastava Atul, Hajat Shakoor
Public Health Foundation of India, New Delhi.
Department of Biochemistry, All India Institute of Medical Sciences, New Delhi.
Indian J Med Inform. 2014;8(2):52-56.
The study objective was to assess the gaps in current hospital health management information systems (ie. paper based records of prenatal, delivery, neonatal, discharge data) for environmental studies. This study also considers the feasibility of linking patient-level hospital data with ambient air pollution data recorded in real time by air quality monitoring stations.
This retrospective hospital based cohort study used a semi-ecologic design to explore the association of air pollution with a neonate's birth weight and gestational age. Maternal and neonatal data from 2007-2012 were encoded and linked with air pollution data based on distance to the nearest air quality monitoring station. Completeness and accuracy of neonatal anthropometric measures, maternal demographic information, nutritional status and maternal risk factors (gestational diabetes, anaemia, hypertension, etc.) were assessed.
The records of 10,565 births in Sir Ganga Ram hospital in New Delhi were encoded and linked with real time air quality data. These were records of women who reported a New Delhi address during the time of delivery. The distance of each address to all the monitoring stations were recorded. Birth records were assigned pollution exposure levels averaged across records from monitoring stations within 10 kilometers of the address during the pregnancy period.
This pilot study will highlight the potential of hospital management information system in linking administrative hospital record data with information on environmental exposure. The linked health-exposure dataset can then be used for studying the impact of various environmental exposures on health outcomes. Mother's educational attainment, occupation, residential history, nutritional status, tobacco and alcohol use during pregnancy need to be documented for better health risk assessments or case management. Health institutions can provide data for public health researchers and environmental scientists and can serve as the backbone of an environmental public health tracking system.
本研究的目的是评估当前医院健康管理信息系统(即产前、分娩、新生儿、出院数据的纸质记录)在环境研究方面的差距。本研究还考虑了将患者层面的医院数据与空气质量监测站实时记录的环境空气污染数据相链接的可行性。
这项基于医院的回顾性队列研究采用半生态学设计,以探讨空气污染与新生儿出生体重和胎龄之间的关联。2007年至2012年的孕产妇和新生儿数据进行编码,并根据与最近空气质量监测站的距离与空气污染数据相链接。评估了新生儿人体测量指标、孕产妇人口统计学信息、营养状况和孕产妇风险因素(妊娠期糖尿病、贫血、高血压等)的完整性和准确性。
新德里甘加拉姆爵士医院10565例分娩记录进行了编码,并与实时空气质量数据相链接。这些是分娩时报告新德里地址的妇女的记录。记录了每个地址到所有监测站的距离。出生记录被分配了孕期该地址10公里范围内监测站记录的平均污染暴露水平。
这项试点研究将突出医院管理信息系统在将医院行政记录数据与环境暴露信息相链接方面的潜力。然后,链接的健康-暴露数据集可用于研究各种环境暴露对健康结果的影响。为了更好地进行健康风险评估或病例管理,需要记录母亲的教育程度、职业、居住史、营养状况、孕期吸烟和饮酒情况。卫生机构可以为公共卫生研究人员和环境科学家提供数据,并可以作为环境公共卫生跟踪系统的支柱。