Evaluation of maternal diseases and medications recorded in Northern Ireland Maternity System (NIMATS) database compared to NI Enhanced Prescribing Database (EPD): a data linkage validation study

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The effects of medication exposure during pregnancy on the unborn child are largely unknown, as pregnant women are excluded from pre-marketing clinical trials assessing drug safety. The use of existing administrative datasets, holding routinely collected patient health records, may be feasible for conducting medication safety studies on pregnant women to investigate the risks/consequences of in utero medication exposure on birth outcomes and later child development outcomes. However, these administrative datasets require assessment of data quality to ensure that the data are suitable for research as they were not developed for this purpose. The aim of this study is to evaluate the quality of maternal diseases and medications data recorded in the Northern Ireland Maternity System (NIMATS) database compared to the NI Enhanced Prescribing Database (EPD).NIMATS data for all mothers resident and giving birth in NI will be linked to EPD data using the mother’s Health Care Registration Number (HCN) as a unique patient identifier. Agreement between the two data sources and sensitivity/ specificity estimates will be calculated for each therapeutic class of medications. Self-reported maternal diseases recorded in NIMATS will also be cross-validated with dispensed prescriptions recorded in EPD to assess completeness, consistency and accuracy of information.Awareness of the quality of NIMATS medication and maternal diseases data is essential if these data are to be used in data linkage studies assessing medication safety in pregnancy. These findings will inform a larger ADRN NI/ UK-wide data linkage study exploring child developmental and educational outcomes following maternal medication exposure during pregnancy.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
Publication statusAccepted/In press - 6 Mar 2017
EventADRN2017 (The UK Administrative Data Research Network Annual Research Conference) - Edinburgh
Duration: 6 Mar 2017 → …

Conference

ConferenceADRN2017 (The UK Administrative Data Research Network Annual Research Conference)
Period6/03/17 → …

Fingerprint

Northern Ireland
Validation Studies
Information Storage and Retrieval
Mothers
Databases
Safety
Pregnancy
Pregnant Women
Medication Systems
Parturition
Maternal Exposure
Child Development
Marketing
Information Systems
Prescriptions
Clinical Trials
Delivery of Health Care
Sensitivity and Specificity
Health
Research

Keywords

  • Pregnancy
  • Data Linkage
  • Maternal diseases
  • Medication
  • Validation

Cite this

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title = "Evaluation of maternal diseases and medications recorded in Northern Ireland Maternity System (NIMATS) database compared to NI Enhanced Prescribing Database (EPD): a data linkage validation study",
abstract = "The effects of medication exposure during pregnancy on the unborn child are largely unknown, as pregnant women are excluded from pre-marketing clinical trials assessing drug safety. The use of existing administrative datasets, holding routinely collected patient health records, may be feasible for conducting medication safety studies on pregnant women to investigate the risks/consequences of in utero medication exposure on birth outcomes and later child development outcomes. However, these administrative datasets require assessment of data quality to ensure that the data are suitable for research as they were not developed for this purpose. The aim of this study is to evaluate the quality of maternal diseases and medications data recorded in the Northern Ireland Maternity System (NIMATS) database compared to the NI Enhanced Prescribing Database (EPD).NIMATS data for all mothers resident and giving birth in NI will be linked to EPD data using the mother’s Health Care Registration Number (HCN) as a unique patient identifier. Agreement between the two data sources and sensitivity/ specificity estimates will be calculated for each therapeutic class of medications. Self-reported maternal diseases recorded in NIMATS will also be cross-validated with dispensed prescriptions recorded in EPD to assess completeness, consistency and accuracy of information.Awareness of the quality of NIMATS medication and maternal diseases data is essential if these data are to be used in data linkage studies assessing medication safety in pregnancy. These findings will inform a larger ADRN NI/ UK-wide data linkage study exploring child developmental and educational outcomes following maternal medication exposure during pregnancy.",
keywords = "Pregnancy, Data Linkage, Maternal diseases, Medication, Validation",
author = "Maria Loane and Helen Dolk and Karen Casson and Joanne Given",
year = "2017",
month = "3",
day = "6",
language = "English",
booktitle = "Unknown Host Publication",

}

TY - GEN

T1 - Evaluation of maternal diseases and medications recorded in Northern Ireland Maternity System (NIMATS) database compared to NI Enhanced Prescribing Database (EPD): a data linkage validation study

AU - Loane, Maria

AU - Dolk, Helen

AU - Casson, Karen

AU - Given, Joanne

PY - 2017/3/6

Y1 - 2017/3/6

N2 - The effects of medication exposure during pregnancy on the unborn child are largely unknown, as pregnant women are excluded from pre-marketing clinical trials assessing drug safety. The use of existing administrative datasets, holding routinely collected patient health records, may be feasible for conducting medication safety studies on pregnant women to investigate the risks/consequences of in utero medication exposure on birth outcomes and later child development outcomes. However, these administrative datasets require assessment of data quality to ensure that the data are suitable for research as they were not developed for this purpose. The aim of this study is to evaluate the quality of maternal diseases and medications data recorded in the Northern Ireland Maternity System (NIMATS) database compared to the NI Enhanced Prescribing Database (EPD).NIMATS data for all mothers resident and giving birth in NI will be linked to EPD data using the mother’s Health Care Registration Number (HCN) as a unique patient identifier. Agreement between the two data sources and sensitivity/ specificity estimates will be calculated for each therapeutic class of medications. Self-reported maternal diseases recorded in NIMATS will also be cross-validated with dispensed prescriptions recorded in EPD to assess completeness, consistency and accuracy of information.Awareness of the quality of NIMATS medication and maternal diseases data is essential if these data are to be used in data linkage studies assessing medication safety in pregnancy. These findings will inform a larger ADRN NI/ UK-wide data linkage study exploring child developmental and educational outcomes following maternal medication exposure during pregnancy.

AB - The effects of medication exposure during pregnancy on the unborn child are largely unknown, as pregnant women are excluded from pre-marketing clinical trials assessing drug safety. The use of existing administrative datasets, holding routinely collected patient health records, may be feasible for conducting medication safety studies on pregnant women to investigate the risks/consequences of in utero medication exposure on birth outcomes and later child development outcomes. However, these administrative datasets require assessment of data quality to ensure that the data are suitable for research as they were not developed for this purpose. The aim of this study is to evaluate the quality of maternal diseases and medications data recorded in the Northern Ireland Maternity System (NIMATS) database compared to the NI Enhanced Prescribing Database (EPD).NIMATS data for all mothers resident and giving birth in NI will be linked to EPD data using the mother’s Health Care Registration Number (HCN) as a unique patient identifier. Agreement between the two data sources and sensitivity/ specificity estimates will be calculated for each therapeutic class of medications. Self-reported maternal diseases recorded in NIMATS will also be cross-validated with dispensed prescriptions recorded in EPD to assess completeness, consistency and accuracy of information.Awareness of the quality of NIMATS medication and maternal diseases data is essential if these data are to be used in data linkage studies assessing medication safety in pregnancy. These findings will inform a larger ADRN NI/ UK-wide data linkage study exploring child developmental and educational outcomes following maternal medication exposure during pregnancy.

KW - Pregnancy

KW - Data Linkage

KW - Maternal diseases

KW - Medication

KW - Validation

M3 - Conference contribution

BT - Unknown Host Publication

ER -