Prediction of Recruitment Potential of Participating Centers in Clinical Trials by Standardized Translation of Selection Criteria and Queries From DRG Database (Pred-Inclus)

March 17, 2025 updated by: Assistance Publique - Hôpitaux de Paris

Prediction of Recruitment Potential of Participating Centers in Clinical Trials by Standardized Translation of Selection Criteria and Queries From the French DRG Database (PMSI)

This retrospective study aims to assess, on a large number of clinical trials (CT), the usefulness of converting CT eligibility criteria into standardized queries performed on commonly available data, i.e. Diagnosis Related Groups (DRG) databases in order to estimate the potential recruitment of clinical trials centers.

Efficacy of this Clinical Trial Recruitment Support Systems (CTRSS) will be checked against thorough examination of patient files.

Primary objective is to estimate the precision of the prediction system, i.e. ratio of numbers of eligible patient files / numbers of candidate patient files.

As secondary objectives, the study aims:

  • to measure the recall rate or sensitivity of the system: ratio of number of candidates patient files / number of recruited patients;
  • to measure the ability of coding: proportion of codable criteria (inclusion criteria or non inclusion criteria) into normalized language;
  • to measure the time required for coding criteria and the time required to execute the queries on the national DRG database;
  • to evaluate the reliability of coding process by an independent coding of a random sample of 30 protocols;
  • to analyse influence of characteristics of the clinical study (design, disease, ...) and of the investigation site (volume, teaching status, ...) on the precision and sensitivity of the prediction system.

Study Overview

Status

Withdrawn

Conditions

Detailed Description

The study will be performed on a large sample (near 100) of multicenter terminated clinical studies with public funding covering therapeutic, diagnostic or prognostic studies. Selection (inclusion, non inclusion) criteria of each CT will be translated into a normalized description using ICD10 and french nomenclature of medical or surgical procedures (CCAM, Classification Commune des Actes Médicaux), these very nomenclatures being used in the french DRG system. Then a dedicated program will query the French DRG national database called PMSI (Programme de Médicalisation des Systèmes d'Information).

For each CT and for each center, the query will select "candidate" patients whose eligibility will be checked by thorough examination of the whole patient file by dedicated data extractors. In addition, already recruited patients will be compared to the prediction of the system.

Collected data span the period between 2010 and 2014, as well as with the medical files.

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Hauts-de-Seine
      • Boulogne-Billancourt, Hauts-de-Seine, France, 92100
        • Department of Public Health - Hôpital Ambroise Paré

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Public institution-sponsored clinical studies.

Description

Inclusion Criteria:

  • Multicenter trials.
  • Trials that have been completed between 2012 and 2014.
  • Sponsors and principal investigators of trials belonging to the public hospital system of the region of Paris (Ile de France).

Exclusion Criteria:

  • Trials in the domain of rare diseases.
  • Trials involving children.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Other
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Precision
Time Frame: throughout the study: 3 years

Precision = Ratio of number of eligible patient files / number of candidate patient files.

The precision will be calculated globally and according to medical domain and aim (therapeutic, diagnostic and prognostic) of modelized clinical studies.

throughout the study: 3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity of system
Time Frame: throughout the study: 3 years
Ratio of number of candidate patient files / number of already recruited patients.
throughout the study: 3 years

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ability of coding
Time Frame: throughout the study: 3 years
  • Proportion of selection criteria which codable into normalized language (ICD10, CCAM);
  • Gain of precision and sensitivity, according to each criterion.
throughout the study: 3 years
Resources required
Time Frame: throughout the study: 3 years
  • Average amount of time required to coding, overall time required and time required according to each medical domain;
  • Time required to query the DRF database.
throughout the study: 3 years
Reliability of coding of protocols
Time Frame: throughout the study: 3 years
  • Independent translation of a random sample of 30 protocols by 2 physicians, giving 2 queries on the DRG database; then
  • Calculation of agreement (kappa coefficient) between candidates patients files selected by each query;
  • Assessment of reliability of the data extraction from the whole patient files between the two data extractors.
throughout the study: 3 years
Influence of characteristics of trial and characteristics of site
Time Frame: throughout the study: 3 years
Development of an regression model analyzing the precision and sensitivity of system, according to the complexity of protocol (design), disease, characteristics of the center (volume, clinical specialization, attractiveness, clinical research activity estimated by a publication score (SIGAPS));
throughout the study: 3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Chair: Philippe AEGERTER, MD, PhD, Department of Public Health - Hôpital Ambroise Paré (APHP)

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 1, 2024

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

January 10, 2017

First Submitted That Met QC Criteria

January 10, 2017

First Posted (Estimated)

January 12, 2017

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 17, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • NI14011
  • PREPS-14-0607 (Other Identifier: Direction générale de l'offre de soins (DGOS))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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