Haskew John, Rø Gunnar, Saito Kaori, Turner Kenrick, Odhiambo George, Wamae Annah, Sharif Shahnaaz, Sugishita Tomohiko
Uamuzi Bora, Kakamega, Kenya.
Uamuzi Bora, Kakamega, Kenya; University of Durham, UK.
Int J Med Inform. 2015 May;84(5):349-54. doi: 10.1016/j.ijmedinf.2015.01.005. Epub 2015 Jan 23.
Complete and timely health information is essential to inform public health decision-making for maternal and child health, but is often lacking in resource-constrained settings. Electronic medical record (EMR) systems are increasingly being adopted to support the delivery of health care, and are particularly amenable to maternal and child health services. An EMR system could enable the mother and child to be tracked and monitored throughout maternity shared care, improve quality and completeness of data collected and enhance sharing of health information between outpatient clinic and the hospital, and between clinical and public health services to inform decision-making.
This study implemented a novel cloud-based electronic medical record system in a maternal and child health outpatient setting in Western Kenya between April and June 2013 and evaluated its impact on improving completeness of data collected by clinical and public health services. The impact of the system was assessed using a two-sample test of proportions pre- and post-implementation of EMR-based data verification.
Significant improvements in completeness of the antenatal record were recorded through implementation of EMR-based data verification. A difference of 42.9% in missing data (including screening for hypertension, tuberculosis, malaria, HIV status or ART status of HIV positive women) was recorded pre- and post-implementation. Despite significant impact of EMR-based data verification on data completeness, overall screening rates in antenatal care were low.
This study has shown that EMR-based data verification can improve the completeness of data collected in the patient record for maternal and child health. A number of issues, including data management and patient confidentiality, must be considered but significant improvements in data quality are recorded through implementation of this EMR model.
完整且及时的健康信息对于为母婴健康提供公共卫生决策至关重要,但在资源有限的环境中往往缺乏。电子病历(EMR)系统越来越多地被采用以支持医疗保健服务的提供,并且特别适用于母婴健康服务。电子病历系统能够在整个孕产共享护理过程中对母婴进行跟踪和监测,提高所收集数据的质量和完整性,并加强门诊与医院之间以及临床与公共卫生服务之间的健康信息共享,从而为决策提供依据。
本研究于2013年4月至6月在肯尼亚西部的一个母婴健康门诊环境中实施了一种新型的基于云的电子病历系统,并评估了其对提高临床和公共卫生服务所收集数据完整性的影响。通过对基于电子病历的数据验证实施前后进行两样本比例检验来评估该系统的影响。
通过实施基于电子病历的数据验证,产前记录的完整性有了显著改善。实施前后记录的缺失数据(包括高血压筛查以及艾滋病毒阳性女性的结核病、疟疾、艾滋病毒感染状况或抗逆转录病毒治疗状况筛查)差异为42.9%。尽管基于电子病历的数据验证对数据完整性有显著影响,但产前护理的总体筛查率较低。
本研究表明,基于电子病历的数据验证可以提高母婴健康患者记录中所收集数据的完整性。必须考虑包括数据管理和患者保密在内的一些问题,但通过实施这种电子病历模式,数据质量有了显著提高。