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Data preparation techniques for a perinatal psychiatric study based on linked data.

Fenglian Xu1, Lisa Hilder, Marie-Paule Austin

  • 1Perinatal and Reproductive Epidemiology Research Unit, School of Women and Children's Health, University of New South Wales, Randwick NSW 2031, Australia. f.xu@unsw.edu.au

BMC Medical Research Methodology
|June 12, 2012
PubMed
Summary

This study details methods for preparing linked population data for perinatal psychiatric research. Creating a master dataset and calculating a statistical variable improve data quality and function.

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Area of Science:

  • Public Health
  • Biostatistics
  • Epidemiology

Background:

  • Increasing use of population-based linked data in research.
  • Limited literature on linked data preparation methodologies.
  • Need for standardized methods in perinatal psychiatric studies.

Purpose of the Study:

  • To describe a method for preparing linked population-based data.
  • To detail the creation of a master dataset for perinatal psychiatric research.
  • To explain the calculation of key statistical variables and recoding of diagnoses.

Main Methods:

  • Utilized linked birth data from NSW collections: MDC, RCC, APDC, and PHDAS.
  • Developed methods for merging data, creating a master dataset, and calculating a statistical variable for time intervals (SVTI).

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  • Included procedures for recoding psychiatric diagnoses and summarizing hospital admissions.

    • Main Results:

    • A master dataset was created, integrating multiple data collections for improved quality and analysis.
    • The statistical variable for time intervals (SVTI) was calculated to identify hospital admissions.
    • Methods for recoding diagnoses and summarizing admissions were established.

    Conclusions:

    • Linked data preparation, including master dataset creation and SV calculation, enhances data quality.
    • The described methods improve the functionality of linked data for research purposes.
    • Standardized data preparation is crucial for robust perinatal psychiatric research.