Evaluating pregnancy reporting in Siaya Health and Demographic Surveillance System through record linkage with ANC clinics.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2022-09-29 eCollection Date: 2022-01-01 DOI:10.23889/ijpds.v7i4.1762
Hallie Eilerts-Spinelli, Julio Romero Prieto, Julie Ambia, Sammy Khagayi, Chodziwadziwa Kabudula, Jeffrey W Eaton, Georges Reniers
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Abstract

Introduction: Health and Demographic Surveillance Systems (HDSS) are important sources of population health data in sub-Saharan Africa, but the recording of pregnancies, pregnancy outcomes, and early mortality is often incomplete.

Objective: This study assessed HDSS pregnancy reporting completeness and identified predictors of unreported pregnancies that likely ended in adverse outcomes.

Methods: The analysis utilized individually-linked HDSS and antenatal care (ANC) data from Siaya, Kenya for pregnancies in 2018-2020. We cross-checked ANC records with HDSS pregnancy registrations and outcomes. Pregnancies observed in the ANC that were missing reports in the HDSS despite a data collection round following the expected delivery date were identified as likely adverse outcomes, and we investigated the characteristics of such individuals. Clinical data were used to investigate the timing of HDSS pregnancy registration relative to care seeking and gestational age, and examine misclassification of miscarriages and stillbirths.

Results: From an analytical sample of 2,475 pregnancies observed in the ANC registers, 46% had pregnancy registrations in the HDSS, and 89% had retrospectively reported pregnancy outcomes. 1% of registered pregnancies were missing outcomes, compared to 10% of those lacking registration. Registered pregnancies had higher rates of stillbirth and perinatal mortality than those lacking registration. In 77% of cases, women accessed ANC prior to registering the pregnancy in the HDSS. Half of reported miscarriages were misclassified stillbirths. We identified 141 unreported pregnancies that likely ended in adverse outcomes. Such cases were more common among those who visited ANC clinics during the first trimester, made fewer overall visits, were HIV-positive, and outside of formal union.

Conclusions: Record linkage with ANC clinics revealed pregnancy underreporting in HDSS, resulting in biased measurement of perinatal mortality. Integrating records of ANC usage into routine data collection can augment HDSS pregnancy surveillance and improve monitoring of adverse pregnancy outcomes and early mortality.

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通过与ANC诊所的记录联系,评估西亚健康和人口监测系统中的妊娠报告。
引言:卫生和人口监测系统是撒哈拉以南非洲人口健康数据的重要来源,但对妊娠、妊娠结局和早期死亡率的记录往往不完整。目的:本研究评估了HDSS妊娠报告的完整性,并确定了可能以不良结局结束的未报告妊娠的预测因素。方法:该分析使用了2018-2020年肯尼亚西亚的HDSS和产前护理(ANC)数据。我们将ANC记录与HDSS妊娠登记和结果进行了交叉检查。尽管在预期分娩日期后进行了一轮数据收集,但在ANC中观察到的妊娠是HDSS中缺失的报告,被确定为可能的不良结果,我们调查了这些个体的特征。临床数据用于调查HDSS妊娠登记的时间与寻求护理和胎龄的关系,并检查流产和死产的错误分类。结果:在ANC登记中观察到的2475例妊娠的分析样本中,46%的妊娠登记在HDSS中,89%的妊娠结果进行了回顾性报告。1%的登记妊娠没有结果,而没有登记的妊娠只有10%。登记妊娠的死产率和围产期死亡率高于未登记妊娠。在77%的病例中,妇女在HDSS中登记怀孕之前获得ANC。报告的流产中有一半被错误地归类为死产。我们确定了141例未报告的妊娠,这些妊娠可能以不良结局告终。这种病例在妊娠早期去非国大诊所就诊、总体就诊次数较少、艾滋病毒呈阳性以及未正式结合的人中更为常见。结论:与ANC诊所的记录关联显示HDSS中妊娠报告不足,导致围产期死亡率的测量存在偏差。将ANC使用记录纳入常规数据收集可以加强HDSS妊娠监测,并改善对不良妊娠结局和早期死亡率的监测。
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CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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