PRISCA Shared DatabaseStatistical quality assurance for improved prenatal patient safety

Physicians require accurate, statistically valid assessments of prenatal risk to counsel patients and recommend care. The PRISCA Shared Database is a statistically-based quality assurance system that provides comprehensive assessment of PRISCA medians.

 

The Shared Database combines data from many labs into large sample sets and calculates highly accurate merged medians. Quarterly reports show how an individual lab’s median curves and mean log Multiple of Medians (MoMs) track against much larger sample sets. This helps identify the most statistically appropriate data for PRISCA assessments.


Assures quality in the lab

  • Compares a lab’s medians with those of peers
  • Monitors trends and identifies outliers
  • Provides an early indicator of biased medians
  • Delivers new median guidelines for each screening test with each report

 

Easy data export

  • Uses on-screen pop-up messages to notify the operator when to export data
  • Provides simple, fast data export with minimal operator interaction
  • Strips patient information prior to transmission to ensure confidentiality

 

PRISCA Shared Database reports

On a quarterly basis, each participating lab receives:

  • A four-page report for each assay tested by the individual lab which includes:
  • A detailed summary of the new medians from the Shared Database
  • A comparison of Shared Database medians with those from the individual lab

Quarterly overview of data.

Provides key data on both the individual lab and on all Shared Database labs:

  • Calculated medians and percentiles
  • Mean log MoMs for each week of pregnancy
  • Regression parameters that can be entered in PRISCA

View example of report page 1

Median curve comparison.
Compares the individual lab’s median curve with the overall median curve from the Shared Database:

  • Shows whether the lab’s median curve lies within the confidence limits of the overall median curve
  • Indicates whether overall or individual medians are likely to provide greatest accuracy for an individual lab

View example of report page 2

MoM comparison—updated.
Uses the new median constants from Page 1 to recalculate the log MoMs for all Shared Database labs:

  • Compares individual lab’s mean log MoMs with those of all Shared Database labs
  • Indicates if the individual lab’s MoMs are significantly different from the other labs
  • Compares log MoMs for the individual lab and the Shared Database to the “perfect” zero line and applies confidence intervals

View example of report page 3

MoM comparison—historical.
Applies the actual medians in use by a lab to compare that individual lab’s mean log MoMs with those of all Shared Database labs:

  • Provides basis of comparison against previous reports to determine whether medians have shifted
  • Indicates if the individual lab’s MoMs are significantly different from the other labs
  • Compares log MoMs for the individual lab and the Shared Database to the "perfect" zero line and applies confidence intervals

View example of report page 4

Additional Remarks.
Provides additional information regarding data included in the median calculations, highlighting any points of interest or recommendations for further action. Examples of such comments are:

There is a discrepancy between the HCG units (mIU/mL) and HCG measurements (<=100). Please modify your units to IU/mL.

With the current medians, your mean HCG MoM is 1.02 (Confidence interval: 0.93 - 1.12 with 103 measurements)

Statistics on pages 1-4 do not include smokers, Africans, Asians, twin pregnancies, IVF pregnancies and pregnancies with maternal diabetes mellitus. Statistics on this page (5) do include these records, which may lead to a discrepancy in numbers.

View example of report page