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乌干达坎帕拉用于基于医院的出生缺陷监测的实时数据收集的移动平板电脑:经验教训

Mobile tablets for real-time data collection for hospital-based birth defects surveillance in Kampala, Uganda: Lessons learned.

作者信息

Kalibbala Dennis, Kakande Ayoub, Serunjogi Robert, Williamson Dhelia, Mumpe-Mwanja Daniel, Namale-Matovu Joyce, Valencia Diana, Nalwoga Beatrice, Namirembe Christine, Seyionga Joan, Nanfuka Margaret, Nakimuli Sophia, Achom Margaret Okwero, Mwambi Kenneth, Musoke Philippa, Barlow-Mosha Linda

机构信息

Makerere University-Johns Hopkins University Research Collaboration (MUJHU), Kampala, Uganda.

Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.

出版信息

PLOS Glob Public Health. 2022 Jun 24;2(6). doi: 10.1371/journal.pgph.0000662.

DOI:10.1371/journal.pgph.0000662
PMID:35910484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9335296/
Abstract

Sustainable birth defects surveillance systems provide countries with estimates of the prevalence of birth defects to guide prevention, care activities, and evaluate interventions. We used free and open-source software (Open Data Kit) to implement an electronic system to collect data for a hospital-based birth defects surveillance system at four major hospitals in Kampala, Uganda. We describe the establishment, successes, challenges, and lessons learned from using mobile tablets to capture data and photographs. After intensive training, surveillance midwives collected data using Android tablets with inbuilt logic checks; another surveillance midwife checked the quality of the data in real-time before data were securely uploaded onto a local server. Paper forms were used when needed as a backup for the electronic system. We experienced several challenges implementing the surveillance system, including forgotten passwords, unstable network, reduced tablet speed and freezing, loss of touch-screen sensitivity, decreased battery strength, and repetitive extensive retraining. We addressed these challenges by backing up and removing all photos from the tablet, uninstalling irrelevant applications to the study to increase storage space and speed, and monitoring and updating the system based mainly on feedback from the midwives. From August 2015 to December 2018, surveillance midwives documented information on 110,752 births at the participating hospitals. Of these, 110,573 (99.8%) were directly entered into the electronic data system and 179 (0.2%) were captured on paper forms. The use of mobile tablets for real-time data collection was successful in a hospital-based birth defects surveillance system in a resource-limited setting. Extensive training and follow-up can overcome challenges and are key to preparing staff for a successful data collection system.

摘要

可持续的出生缺陷监测系统为各国提供出生缺陷患病率估计值,以指导预防、护理活动并评估干预措施。我们使用免费的开源软件(开放数据工具包)来实施一个电子系统,用于为乌干达坎帕拉的四家主要医院的基于医院的出生缺陷监测系统收集数据。我们描述了使用移动平板电脑采集数据和照片的建立过程、成功之处、挑战以及经验教训。经过强化培训后,监测助产士使用带有内置逻辑检查功能的安卓平板电脑收集数据;另一名监测助产士在数据安全上传到本地服务器之前实时检查数据质量。必要时使用纸质表格作为电子系统的备份。我们在实施监测系统时遇到了一些挑战,包括忘记密码、网络不稳定、平板电脑速度降低和死机、触摸屏灵敏度丧失、电池电量下降以及反复进行大量再培训。我们通过备份并从平板电脑中删除所有照片、卸载与研究无关的应用程序以增加存储空间和速度,以及主要根据助产士的反馈监测和更新系统来应对这些挑战。从2015年8月到2018年12月,监测助产士记录了参与医院110,752例出生的信息。其中,110,573例(99.8%)直接录入电子数据系统,179例(0.2%)记录在纸质表格上。在资源有限的环境中,在基于医院的出生缺陷监测系统中使用移动平板电脑进行实时数据收集是成功的。广泛的培训和后续跟进可以克服挑战,是让工作人员为成功的数据收集系统做好准备的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/657b/10021307/02c448623c75/pgph.0000662.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/657b/10021307/02c448623c75/pgph.0000662.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/657b/10021307/02c448623c75/pgph.0000662.g001.jpg

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