GDM register with risk factors for screening selection criteria pilot dataset
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Background: Gestational diabetes Mellitus (GDM) if unmanaged can complicate pregnancy outcomes. Selective screening of GDM is a common policy hence, the need for complete medical records of patients. The extent and pattern that incomplete documentation of patients’ records can prevent recall of antenatal patients requires elucidation.
Aim: To describe effectiveness of phone contacts on medical records and GDM risk factors among those reachable by telehealth.
Data: Initial data were collected in 2018, which continued in 2019 at Eku Baptist Government Hospital (EBGH). Demographic data were complete in all patients, but incomplete documentation was observed with as much as 98%. 301/391 lacked complete data about 95% of the cases, this was solely due to missing height measurements. In 2020, records of 123 case files were reviewed for effectiveness of phone contacts to do telehealth, and with simultaneous GDM risk assessment. 98/123 have phone details on medical records, of which 41/98 cases followed up were reached hence constituted the pilot dataset.
Analysis performed: Descriptive frequency analysis
Reuse potentials: This dataset is reusable and useful in the future for potential systematic review and/or meta-analysis. Also, for GDM screening selection criteria, medical records and telehealth services – this pilot dataset is useful for health service limitations and areas for improvement.
研究背景:妊娠糖尿病(Gestational Diabetes Mellitus, GDM)若未得到有效管控,可对妊娠结局造成不良影响。目前临床普遍采用妊娠糖尿病选择性筛查策略,因此对患者完整病历资料存在迫切需求。而患者病历记录不完整会导致产前患者随访信息无法追溯,其影响程度与分布特征尚待进一步阐明。
研究目的:探讨电话随访对可接受远程医疗(telehealth)服务人群的病历完善情况及妊娠糖尿病(GDM)危险因素评估的有效性。
数据集概况:初始数据采集于2018年,后续数据采集工作于2019年在厄库浸信会政府医院(Eku Baptist Government Hospital, EBGH)开展。所有患者的人口统计学资料均完整,但其余多达98%的病历存在记录不完整问题。391例患者中共有301例存在95%以上的必填数据缺失,且该数据缺失仅由身高测量项未填写所导致。2020年,研究团队回顾了123份病历档案,以评估电话随访开展远程医疗服务并同步进行妊娠糖尿病(GDM)危险因素评估的有效性。123份病历中共有98份记录了患者联系电话,其中成功完成随访的41例病例构成了本次试点数据集。
分析方法:采用描述性频数分析。
复用潜力:本数据集具备较高复用价值,未来可用于系统综述或荟萃分析相关研究;同时可应用于妊娠糖尿病(GDM)筛查筛选标准、病历管理及远程医疗服务相关研究。该试点数据集还有助于剖析当前医疗服务存在的局限并明确优化方向。
提供机构:
Charles Sturt University



