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Optimising the ICD to identify the maternal condition in the cause of perinatal death: overcoming challenges to create a holistic approach
Author(s) -
Kirby RS
Publication year - 2016
Publication title -
bjog: an international journal of obstetrics and gynaecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.157
H-Index - 164
eISSN - 1471-0528
pISSN - 1470-0328
DOI - 10.1111/1471-0528.14289
Subject(s) - medicine , medical record , maternal death , cause of death , pregnancy , medical emergency , pediatrics , obstetrics , disease , environmental health , population , pathology , radiology , genetics , biology
Identifying and classifying causes of perinatal death remains a challenge for clinical practice and public health. Broadly speaking, in utero demise may result from fetal factors, from maternal factors, or from a combination of these factors, and may occur antepartum or intrapartum. Although neonatal death may also result from maternal factors, coding structures in the International Classification of Diseases (ICD) have long recognised these possibilities. Establishing the role of maternal factors in stillbirth requires the availability of clinical data concerning both mother and fetus/infant for review. Unfortunately, in most medical records systems separate records are not generated (because the patient has not been admitted, no separate file number is created), and fields to link the mother and infant records are not routinely available in administrative health records. Additionally, maternal conditions require different coding depending on both the timing of onset (pregestational or gestational) and the outcome (maternal death, perinatal death, survival). Allanson et al. (BJOG 2016;123: 2037–2046.) propose an approach to the use of ICD-10 to account for the maternal contribution to perinatal death. Building on the perinatal mortality classification (ICD-PM) described previously (Allanson et al. BJOG 2016;123:1896–1899.), the classification is enhanced through the use of maternal condition codes (ICD-MM), and is then applied to existing data from South Africa and the West Midlands in the UK. As the authors note, the proposed approach is a stopgap measure that will hopefully be corrected in the development of ICD-11. If recent experience in the US predicts the future, the adoption of ICD-11 will be many years from now, yielding ample time to experiment with and perfect the ICD-PM. Next steps might include the integration of ICD-PM, enhanced with the ICD-MM, into an updated version of the Cause of Death and Associated Conditions (CODAC) application for classification of causes of perinatal death (Froen et al. BMC Pregnancy and Childbirth 2009;9:22). Additionally, data resulting from the classification should be integrated into maternal and child health programmatic activities aimed at reducing rates of perinatal mortality. Even after a half-century of experimentation with perinatal mortality classification schemes, the residual of unexplained causes of perinatal death remains far too large (Aminu et al. BJOG 2014;121:S141–S153; Helgadottir et al. Acta Obstet Gynaecol 2013; 92:325–33). Although we have made progress in stillbirth prevention in recent years, much unfinished business remains (Froen et al., Lancet 2016;387:574–586). Prevention strategies require knowledge of associations and etiologies, and the systematic, detailed review of cases to determine causes is the bedrock for this research. The ICD-PM, with additional attention to maternal morbidities, is an important step in the right direction.

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