如何以及为什么出生方式会影响常规数据收集和使用的过程? 在孟加拉国和坦桑尼亚进行了一项定性研究
Harriet Ruysen1, Tamanna Majid2, Donat Shamba3
1Department of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
PLOS global public health
|December 31, 2024
概括
出生方式影响常规健康信息系统 (RHIS) 数据的准确性,影响母亲和新生儿的健康记录. 改进数据收集需要全系统的方法,而不仅仅是专注于注册表.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 孕产妇和儿童的健康
背景情况:
- 常规健康信息系统 (RHIS) 数据对于数据驱动的卫生系统和改善母亲和新生儿健康结果至关重要.
- 现有研究表明,出生方式可以影响RHIS数据的准确性,但根本原因尚不清楚.
- 需要进行定性研究,以探索出生模式如何影响卫生系统内数据收集过程的复杂性.
研究的目的:
- 调查为什么和如何出生方式影响公共部门卫生系统常规健康信息系统 (RHIS) 数据的准确性.
- 识别卫生系统中的特定挑战和因素,这些因素导致与不同出生方式相关的数据不准确.
- 为改善围产期数据的收集和使用提供基于证据的建议.
主要方法:
- 使用深度采访进行定性研究设计.
- 在孟加拉国 (2020年9月至12月) 进行了44次采访,在坦桑尼亚 (2023年2月至4月) 进行了35次采访.
- 参与者包括卫生专业人员,数据管理人员和次国家和国家层面的领导者;使用PRISM框架进行主题分析.
主要成果:
- 出生方式通过改变出生地点,医疗专业人员的可用性和护理途径,影响数据流和文档,显著影响RHIS数据.
- 在所有相关的临床领域 (例如,手术室) 都没有统一的标准注册表,这导致了潜在的数据缺口,特别是剖腹产分娩.
- 卫生专业人员报告说,他们被重复的数据任务和竞争的临床责任所压倒,电子系统被认为会增加重复.
结论:
- 出生方式影响常规数据收集过程,影响数据的记录地点,内容,时间和记录者,从而导致潜在的数据缺口.
- 提高RHIS数据质量,特别是对于剖腹产等产前期结果,需要一个更广泛的系统视角,而不仅仅是注册.
- 建议共同设计RHIS流程和工具,以减少数据负担,提高围产期数据的可用性和质量,以改善卫生系统.
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