Using electronic medical record (EMR) data to examine the impact of prenatal drug exposure: Evaluating availability, accuracy and utilty of exposure information
Using electronic medical record (EMR) data to examine the impact of prenatal drug exposure: Evaluating availability, accuracy and utilty of exposure information
批准号:
10511030
负责人:
BETH A BAILEY
金额:
$7.33万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-25 至 2024-07-31
关键词:
AddressAffectAgeAlcoholsAlgorithmsBiochemicalChildChildhoodClinicalCodeComputerized Medical RecordDataData SetData SourcesDevelopmentDiagnosisDrug PrescriptionsDrug ScreeningDrug usageExposure toFamilyFrequenciesGoalsGoldHealthIllicit DrugsInpatientsInternational Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)KnowledgeLegalLinkLongitudinal StudiesLongitudinal prospective studyMarijuanaMeconiumMedicalMethodological StudiesMethodologyMethodsNewborn InfantOutcomeOutcome AssessmentOutpatientsParticipantPatient Self-ReportPatientsPharmaceutical PreparationsPredictive FactorPregnancyPrenatal carePrevalenceProceduresRecordsResearchResourcesRural CommunitySensitivity and SpecificityServicesSiteSystemTest ResultTestingTimeTissuesTobaccoUmbilical Cord BloodUrineWithdrawalWomanWorkbasecomorbidityeducation resourcesfetal drug exposurefetal substance exposureimprovedin uteroindividual patientinsightinterestmarijuana legalizationopioid epidemicpediatric patientspopulation basedpredictive modelingprenatal exposureprescription drug abusepreventproduct developmentprospectiveracial diversityrecruitresearch studyscreeningsocioeconomic diversitystatisticssubstance usetobacco exposure
中文摘要
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英文摘要
SPECIFIC AIMS
The overall goal of the proposed study is to examine the availability, accuracy, and utility of prenatal
substance exposure data in the existing electronic medical records (EMR).
Research on the impact of substance use during pregnancy on child outcomes has relied on large prospective,
longitudinal studies to provide accurate data on exposures and outcomes. This has resulted in knowledge
lagging significantly, especially problematic with the rapidly evolving opioid epidemic and recent legalization of
commercial-grade marijuana. Population-based datasets have produced prevalence and more general
information, but do not contain exposure information that is granular enough to reliably answer specific
research questions. Individual patient EMRs contain a wealth of clinical information that can potentially be used
for research purposes, however this potential related to prenatal exposures is largely unstudied. Our work, and
the work of others, has demonstrated the possibilities for using EMR data to answer questions about the
impact of prenatal substance exposures on child outcomes, while also highlighting the limitations and
unknowns. EMRs provide the opportunity of linking pediatric outpatient records with up to three other types of
EMRs (newborn inpatient record, maternal inpatient delivery record, and maternal outpatient prenatal care
record), expanding available information about exposures for many patients.
Our study will involve the following Specific Aims:
1. To determine exactly what exposure data is available in each of the four EMR types, with what
frequency, and the congruence between exposure data sources.
2. To construct composite exposure variables from different data sources and examine the degree
to which each: a) correlates with cord test results, and b) correlates with child outcomes.
3. To determine factors that predict availability, accuracy, and utility of exposure data.
4. To develop enduring study methodology materials including exposure variable coding
algorithms.
The study will utilize the EMRs from both a large but fairly rural community based pediatric outpatient practice,
and from a large urban academic pediatric ambulatory service, which will produce substantial racial and
socioeconomic diversity and will involve the two most common EMR systems in the U.S (Epic and Cerner). A
minimum of 2,500 pediatric outpatients age 6 and under will be identified across the two sites for study
inclusion, with at least 40% expected to have had some type of prenatal substance exposure (tobacco, alcohol,
prescription drugs of abuse, and/or illicit drugs). The four EMR types examined for each participant will be the
linked pediatric outpatient record, newborn inpatient record, maternal inpatient delivery record, and maternal
outpatient prenatal care record. In addition to background, comorbidity, and outcomes information, any
information about prenatal substance exposure will be abstracted to include: ICD-10 diagnosis and procedure
codes, urine drug screens, cord blood/tissue/meconium analysis, additional biochemical testing, self-
report/screening questions for drug use/exposure, lists of prescribed medications, newborn withdrawal
assessment/treatment, and additional information from notes fields. Specific Aims will be evaluated with
descriptive and bivariate statistics, sensitivity/specificity analyses, and predictive modeling, with the end
product the development of enduring study methodology materials including exposure variable coding
algorithms.
If we are able to identify ways EMR data could be reliably used to not only identify pediatric patients with
prenatal substance exposure, but also to develop valid exposure variables to use for research purposes,
participants in studies examining the links between prenatal exposures and later outcomes could be recruited
at the point of outcome assessment. This would significantly shorten the time needed to do valid studies in this
field by leveraging existing data via validated methods. Study findings will also provide valuable methodological
insights to inform the ultimate gold-standard prospective longitudinal studies examining the impacts of prenatal
substance exposure.
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会议论文
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批准号:6357726
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项目类别:
-
资助金额:$12.2万
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财政年份:2001
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负责人:BETH A BAILEY
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依托单位:
海外基金