{"title":"Association of air pollution on birth outcomes in New Delhi - a pilot study on the potential of HMIS data for environmental public health tracking.","authors":"Melina S Magsumbol, Archna Singh, Arpita Ghosh, Neelam Kler, Pankaj Garg, Anup Thakur, Arshad Beg, Atul Srivastava, Shakoor Hajat","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":91274,"journal":{"name":"Indian journal of medical informatics","volume":"8 2","pages":"52-56"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770521/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian journal of medical informatics","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
目的:本研究的目的是评估目前医院健康管理信息系统的差距。环境研究的产前、分娩、新生儿、出院数据的纸质记录。本研究亦考虑将病人层面的医院资料与空气质素监测站即时记录的环境空气污染资料连结起来的可行性。方法:采用半生态学设计,以医院为基础的回顾性队列研究,探讨空气污染与新生儿出生体重和胎龄的关系。对2007-2012年的孕产妇和新生儿数据进行编码,并根据与最近的空气质量监测站的距离将其与空气污染数据联系起来。评估新生儿人体测量指标、产妇人口统计信息、营养状况和产妇危险因素(妊娠期糖尿病、贫血、高血压等)的完整性和准确性。结果:新德里Sir Ganga Ram医院10,565例新生儿的记录被编码并与实时空气质量数据相关联。这些记录是妇女在分娩期间报告的新德里地址。记录每个地址到所有监测站的距离。出生记录被分配为怀孕期间该地址10公里内监测站记录的平均污染暴露水平。结论:这项初步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联系起来方面的潜力。然后,相关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。需要记录母亲的教育程度、职业、居住史、营养状况、怀孕期间的烟酒使用情况,以便更好地进行健康风险评估或病例管理。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。