Potentially Avoidable Hospitalisation in France (HPE-LR)

February 26, 2019 updated by: University Hospital, Montpellier

Are Potentially Avoidable Hospitalizations a Good Measure of Access To Primary Care in France?

Potentially Avoidable Hospitalizations (Pah) Are Studied As An Indirect Measure Of Access To Primary Care And Of The Interface Between Primary And Secondary Care. A Previous Work Unveils Considerable Geographic Variation In The Rate Of Pah In France And Suggest That Primary Care Organization Might Play A Role In This Variation. However, A Limitation Of This Work Lies In The Lack Of Data On Actual Primary Care Utilization.

The Aim Of This Study Is To Analyze The Role Of Primary Care In The Variation Of Potentially Avoidable Hospitalizations At the Zip Code Level, In The French Region Languedoc-Roussillon-Midi-Pyrénées.

The investigator will implement An Ecological Approach In Which The Geographic Variation In The Rate Of Pah Is Analyzed In The French Region Lrmp, Year 2014. Age- And Sex-Adjusted Rate Of Pah By Zip Codes (N=612) Is Modeled Using A Spatial Regression Model.

Study Overview

Study Type

Observational

Enrollment (Actual)

12000

Contacts and Locations

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

Study Locations

      • Montpellier, France, 34295
        • Uhmontpellier

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

18 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

All patients with at least one hospital admission in the LRMP region in 2014.

Description

Inclusion criteria:

  • year 2014
  • LRMP region
  • Hospital admission in any public or private hospital

Exclusion criteria:

  • none

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Rate of potentially avoidable admissions
Time Frame: 24 months
24 months

Secondary Outcome Measures

Outcome Measure
Time Frame
Standardized Rate of potentially avoidable admissions
Time Frame: 24 months
24 months

Collaborators and Investigators

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

Investigators

  • Study Director: Gregoire MERCIER, MD, PhD, University Hospital, Montpellier
  • Study Chair: Gregoire mercier, MD, PhD, University Hospital, Montpellier

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 (Actual)

June 1, 2016

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

March 1, 2017

Study Registration Dates

First Submitted

September 7, 2016

First Submitted That Met QC Criteria

September 12, 2016

First Posted (Estimate)

September 13, 2016

Study Record Updates

Last Update Posted (Actual)

February 27, 2019

Last Update Submitted That Met QC Criteria

February 26, 2019

Last Verified

February 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 9670

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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