Labour and delivery ward register data availability, quality, and utility-Every Newborn-birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries
Labour and delivery ward register data availability, quality, and utility-Every Newborn-birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries
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DOI：
10.1186/s12913-020-5028-7
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发表时间：
2020-08-12
影响因子：
2.8
通讯作者：
Lawn, Joy E.
中科院分区：
文献类型：
--
作者：
Day, Louise Tina;Gore-Langton, Georgia R.;Lawn, Joy E.
背景 孕产妇和新生儿死亡以及死产负担最重的国家往往对这些死亡的信息很少。由于目前全世界超过 81% 的出生发生在设施中，因此使用常规设施数据可以缩小这一数据差距。我们评估了孟加拉国、尼泊尔和坦桑尼亚五家医院的常规待产和产房登记数据的可用性、质量和实用性。本文构成了医院每个新生儿出生指标研究跟踪 (EN-BIRTH) 研究的基线登记评估。方法 我们从医院常规产房登记册中提取 21 个数据元素，可用于计算选定的孕产妇和新生儿健康 (MNH) 指标。研究地点是一年期间（2016-17）的五家公立医院。我们测量了 1) 可用性：通过登记设计实现数据元素的完整性，2) 数据质量：不可信性、内部一致性和出生体重堆积，并通过使用可用数据计算选定的 MNH 指标来探索 3) 效用。结果 提取了 20,075 名新生儿的数据。五家医院的登记册设计有所不同，21 个选定的 MNH 数据元素中有 10-17 个可用。与干预措施相比，可用于健康结果的数据更多。五家医院中的四家几乎所有可用数据元素的完整度都超过 95%，并且令人难以置信的值很少见。特定列中捕获的数据元素的完整度为 85.2%，而非特定列中捕获的数据元素的完整度为 25.0%。两家医院的死产出生体重数据不如活产出生体重数据完整，并且所有地点都发现了明显的堆积现象，特别是在 2500 克和 3000 克的情况下。所有五家医院都记录了计算影响指标所需的计数数据，包括：死产率、低出生体重率、剖腹产率和死亡率。结论 孟加拉国、尼泊尔和坦桑尼亚的 EN-BIRTH 研究医院常规产房登记册中计算 MNH 指标所需的数据大多可用且高度完整。寄存器设计需要包括覆盖率测量的干预措施。如果能够加强健康管理信息系统的反馈循环利用，就有可能提高数据质量。常规医疗机构数据可能有助于减少出生时的覆盖范围和影响数据差距。
Background Countries with the highest burden of maternal and newborn deaths and stillbirths often have little information on these deaths. Since over 81% of births worldwide now occur in facilities, using routine facility data could reduce this data gap. We assessed the availability, quality, and utility of routine labour and delivery ward register data in five hospitals in Bangladesh, Nepal, and Tanzania. This paper forms the baseline register assessment for theEvery Newborn-Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. Methods We extracted 21 data elements from routine hospital labour ward registers, useful to calculate selected maternal and newborn health (MNH) indicators. The study sites were five public hospitals during a one-year period (2016-17). We measured 1) availability: completeness of data elements by register design, 2) data quality: implausibility, internal consistency, and heaping of birthweight and explored 3) utility by calculating selected MNH indicators using the available data. Results Data were extracted for 20,075 births. Register design was different between the five hospitals with 10-17 of the 21 selected MNH data elements available. More data were available for health outcomes than interventions. Nearly all available data elements were > 95% complete in four of the five hospitals and implausible values were rare. Data elements captured in specific columns were 85.2% highly complete compared to 25.0% captured in non-specific columns. Birthweight data were less complete for stillbirths than live births at two hospitals, and significant heaping was found in all sites, especially at 2500g and 3000g. All five hospitals recorded count data required to calculate impact indicators including; stillbirth rate, low birthweight rate, Caesarean section rate, and mortality rates. Conclusions Data needed to calculate MNH indicators are mostly available and highly complete in EN-BIRTH study hospital routine labour ward registers in Bangladesh, Nepal and Tanzania. Register designs need to include interventions for coverage measurement. There is potential to improve data quality if Health Management Information Systems utilization with feedback loops can be strengthened. Routine health facility data could contribute to reduce the coverage and impact data gap around the time of birth.