GDM register with risk factors for screening selection criteria pilot dataset

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.

背景：妊娠糖尿病（Gestational diabetes Mellitus, GDM）若未得到有效管理，可引发不良妊娠并发症。当前临床普遍采用妊娠糖尿病选择性筛查方案，因此完整留存患者诊疗记录的需求尤为迫切。然而，患者诊疗记录不完整会在多大程度上阻碍产前患者的随访信息追溯，其影响程度与具体模式尚有待阐明。

研究目的：评估电话随访对可开展远程医疗的患者群体的诊疗记录完善度及妊娠糖尿病危险因素评估的有效性。

数据概况：初始数据采集于2018年，后续于2019年在埃库浸信会公立医院（Eku Baptist Government Hospital, EBGH）完成续采。所有患者的人口统计学资料均完整，但诊疗记录不完整的比例高达98%。其中301例（共391例）患者的约95%相关数据缺失，且缺失项仅为身高测量值。2020年，研究人员对123份病例档案进行回顾分析，以评估电话随访开展远程医疗的效果，并同步完成妊娠糖尿病危险因素评估。该123份档案中，98份留存了患者的联系电话信息，其中成功完成随访的41例样本构成了本次试点数据集。

分析方法：采用描述性频数分析方法。

复用潜力：本数据集具备较高的复用价值，未来可用于系统综述或荟萃分析相关研究。此外，针对妊娠糖尿病筛查筛选标准、诊疗记录管理及远程医疗服务优化等方向，该试点数据集可用于剖析医疗服务存在的局限与待改进领域。