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

Research output: Contribution to journalConference article

Abstract

Background
There is great potential to use routinely collected patient health records for research if the quality of data is sufficient for this purpose.

Objective
To assess the accuracy of information on medications and maternal diseases reported by the mother and recorded in the NI Maternity System (NIMATS) database compared to electronic prescriptions issued by the General Practitioner and recorded in the Enhanced Prescribing Database (EPD).

Method
A cross-sectional data linkage validation study was conducted through the Honest Broker Service. The NIMATS database, EPD and NI Multiple Deprivation Measure (MDM) were linked for all births in NI with a pregnancy booking interview between 1st April 2010 and 30th June 2016. Information on medications and illnesses recorded in NIMATS were compared to prescription data recorded in EPD.

Findings
Between April 2010 and June 2016, 139,687 pregnant women were linked to EPD and the NIMDM. In NIMATS, 94.4% (131,909) of women reported taking medications in the first trimester of pregnancy compared to 63.5% (88,693) in the EPD. The most common exposures in both databases were vitamins, folic acid and iron. Use of some medications varied by maternal age for example antibiotics were more common among younger mothers while cardiac medications were more common among older mothers. Excluding vitamins, folic acid and iron, 27.2% (14,786) of pregnancies with a medication recorded in NIMATS had a current disease recorded compared to 30.3% (20,574) of those in EPD.

Conclusions
Medication exposure rates differ depending on the data source used. NIMATS includes over-the-counter and hospital prescribed medications but may be subject to maternal recall bias. The EPD records prescribed medications but it is unknown if the woman took these. For both NIMATS and EPD, less than a third of pregnancies with a medication exposure have a disease recorded suggesting under recording of maternal disease in NIMATS.

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Northern Ireland
Validation Studies
Information Storage and Retrieval
Mothers
Databases
Folic Acid
Vitamins
Pregnancy
Iron
Electronic Prescribing
Maternal Age
First Pregnancy Trimester
General Practitioners
Prescriptions
Pregnant Women
Parturition
Interviews

Keywords

  • Information Storage and Retrieval
  • Drug Utilization
  • Validation studies
  • Pregnancy
  • medication safety in pregnancy
  • maternal disease
  • Honest Broker Service
  • administrative data
  • data linkage
  • data validation

Cite this

@article{a06488f9a5ad421db0590a5395e780c1,
title = "Evaluation of maternal medications and diseases recorded in Northern Ireland Maternity System (NIMATS) database compared to NI Enhanced Prescribing Database (EPD): a data linkage validation study",
abstract = "BackgroundThere is great potential to use routinely collected patient health records for research if the quality of data is sufficient for this purpose.ObjectiveTo assess the accuracy of information on medications and maternal diseases reported by the mother and recorded in the NI Maternity System (NIMATS) database compared to electronic prescriptions issued by the General Practitioner and recorded in the Enhanced Prescribing Database (EPD).MethodA cross-sectional data linkage validation study was conducted through the Honest Broker Service. The NIMATS database, EPD and NI Multiple Deprivation Measure (MDM) were linked for all births in NI with a pregnancy booking interview between 1st April 2010 and 30th June 2016. Information on medications and illnesses recorded in NIMATS were compared to prescription data recorded in EPD.FindingsBetween April 2010 and June 2016, 139,687 pregnant women were linked to EPD and the NIMDM. In NIMATS, 94.4{\%} (131,909) of women reported taking medications in the first trimester of pregnancy compared to 63.5{\%} (88,693) in the EPD. The most common exposures in both databases were vitamins, folic acid and iron. Use of some medications varied by maternal age for example antibiotics were more common among younger mothers while cardiac medications were more common among older mothers. Excluding vitamins, folic acid and iron, 27.2{\%} (14,786) of pregnancies with a medication recorded in NIMATS had a current disease recorded compared to 30.3{\%} (20,574) of those in EPD.ConclusionsMedication exposure rates differ depending on the data source used. NIMATS includes over-the-counter and hospital prescribed medications but may be subject to maternal recall bias. The EPD records prescribed medications but it is unknown if the woman took these. For both NIMATS and EPD, less than a third of pregnancies with a medication exposure have a disease recorded suggesting under recording of maternal disease in NIMATS.",
keywords = "Information Storage and Retrieval, Drug Utilization , Validation studies, Pregnancy, medication safety in pregnancy , maternal disease , Honest Broker Service , administrative data , data linkage , data validation",
author = "Joanne Given and Karen Casson and Helen Dolk and Maria Loane",
year = "2018",
month = "6",
day = "11",
doi = "10.23889/ijpds.v3i2.497",
language = "English",
volume = "3",
pages = "497",
journal = "International Journal of Population Data Science",
issn = "2399-4908",
number = "2",

}

TY - JOUR

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

AU - Given, Joanne

AU - Casson, Karen

AU - Dolk, Helen

AU - Loane, Maria

PY - 2018/6/11

Y1 - 2018/6/11

N2 - BackgroundThere is great potential to use routinely collected patient health records for research if the quality of data is sufficient for this purpose.ObjectiveTo assess the accuracy of information on medications and maternal diseases reported by the mother and recorded in the NI Maternity System (NIMATS) database compared to electronic prescriptions issued by the General Practitioner and recorded in the Enhanced Prescribing Database (EPD).MethodA cross-sectional data linkage validation study was conducted through the Honest Broker Service. The NIMATS database, EPD and NI Multiple Deprivation Measure (MDM) were linked for all births in NI with a pregnancy booking interview between 1st April 2010 and 30th June 2016. Information on medications and illnesses recorded in NIMATS were compared to prescription data recorded in EPD.FindingsBetween April 2010 and June 2016, 139,687 pregnant women were linked to EPD and the NIMDM. In NIMATS, 94.4% (131,909) of women reported taking medications in the first trimester of pregnancy compared to 63.5% (88,693) in the EPD. The most common exposures in both databases were vitamins, folic acid and iron. Use of some medications varied by maternal age for example antibiotics were more common among younger mothers while cardiac medications were more common among older mothers. Excluding vitamins, folic acid and iron, 27.2% (14,786) of pregnancies with a medication recorded in NIMATS had a current disease recorded compared to 30.3% (20,574) of those in EPD.ConclusionsMedication exposure rates differ depending on the data source used. NIMATS includes over-the-counter and hospital prescribed medications but may be subject to maternal recall bias. The EPD records prescribed medications but it is unknown if the woman took these. For both NIMATS and EPD, less than a third of pregnancies with a medication exposure have a disease recorded suggesting under recording of maternal disease in NIMATS.

AB - BackgroundThere is great potential to use routinely collected patient health records for research if the quality of data is sufficient for this purpose.ObjectiveTo assess the accuracy of information on medications and maternal diseases reported by the mother and recorded in the NI Maternity System (NIMATS) database compared to electronic prescriptions issued by the General Practitioner and recorded in the Enhanced Prescribing Database (EPD).MethodA cross-sectional data linkage validation study was conducted through the Honest Broker Service. The NIMATS database, EPD and NI Multiple Deprivation Measure (MDM) were linked for all births in NI with a pregnancy booking interview between 1st April 2010 and 30th June 2016. Information on medications and illnesses recorded in NIMATS were compared to prescription data recorded in EPD.FindingsBetween April 2010 and June 2016, 139,687 pregnant women were linked to EPD and the NIMDM. In NIMATS, 94.4% (131,909) of women reported taking medications in the first trimester of pregnancy compared to 63.5% (88,693) in the EPD. The most common exposures in both databases were vitamins, folic acid and iron. Use of some medications varied by maternal age for example antibiotics were more common among younger mothers while cardiac medications were more common among older mothers. Excluding vitamins, folic acid and iron, 27.2% (14,786) of pregnancies with a medication recorded in NIMATS had a current disease recorded compared to 30.3% (20,574) of those in EPD.ConclusionsMedication exposure rates differ depending on the data source used. NIMATS includes over-the-counter and hospital prescribed medications but may be subject to maternal recall bias. The EPD records prescribed medications but it is unknown if the woman took these. For both NIMATS and EPD, less than a third of pregnancies with a medication exposure have a disease recorded suggesting under recording of maternal disease in NIMATS.

KW - Information Storage and Retrieval

KW - Drug Utilization

KW - Validation studies

KW - Pregnancy

KW - medication safety in pregnancy

KW - maternal disease

KW - Honest Broker Service

KW - administrative data

KW - data linkage

KW - data validation

U2 - 10.23889/ijpds.v3i2.497

DO - 10.23889/ijpds.v3i2.497

M3 - Conference article

VL - 3

SP - 497

JO - International Journal of Population Data Science

T2 - International Journal of Population Data Science

JF - International Journal of Population Data Science

SN - 2399-4908

IS - 2

M1 - 497

ER -