Skip to main content
Clinical Trials/NCT04326556
NCT04326556
Unknown
N/A

Individual and Environmental Risk Factors for Unscheduled Hospitalizations of Elderly People, With Sensor-based Measurements of the Peri-individual Environment: a Prospective Cohort

Virginia BRANCO0 sites70 target enrollmentApril 2020

Overview

Phase
N/A
Intervention
Not specified
Conditions
Environmental Exposure
Sponsor
Virginia BRANCO
Enrollment
70
Primary Endpoint
To describe the quality of the peri-individual atmospheric environment, both indoor and outdoor
Last Updated
6 years ago

Overview

Brief Summary

The elderly are weakened by the accumulation of chronic diseases. Their acute decompensation often leads to unscheduled hospitalization, which constitutes a breach of care with often serious consequences in terms of morbidity and mortality. Few studies have identified all the risk factors for unscheduled hospitalization in the very elderly. This project deals with the impact of air pollution on the very elderly as a source of physiological decompensations leading to unscheduled hospitalizations, in association with other individual and environmental risk factors. It complements the Rieho cohort that followed 973 elderly people on the same objective and enriches it with the use of sensors measuring the peri-individual atmospheric environment.

Detailed Description

In order to facilitate the perspective and scientific valorization of these data, the experimental design and population characteristics reproduce those of the RIEHO cohort (Coordinator P Aegerter), which aims to identify individual and environmental risk factors for unscheduled hospitalization of the elderly and included 973 people over 80 years of age with a 2-year follow-up, closed in early 2017. Indeed, the workforce mobilized in the Rieho-C study is undersized to measure an association between air quality and a major health impact (hospitalization or death), this objective can only be achieved by adding Rieho-C data to those of Rieho.

Registry
clinicaltrials.gov
Start Date
April 2020
End Date
September 2021
Last Updated
6 years ago
Study Type
Interventional
Study Design
Single Group
Sex
All

Investigators

Sponsor
Virginia BRANCO
Responsible Party
Sponsor Investigator
Principal Investigator

Virginia BRANCO

director of value creation

University of Versailles

Eligibility Criteria

Inclusion Criteria

  • Person over 80 years of age consulting in the geriatrics department of Ste-Périne Hospital (Gerontology Consultations, Dr A Hiance- Delahaye, Head of Department Pr J Ankri. Paris XVI), for a standardised geriatric assessment, for any reason, if it does not result in immediate or foreseeable hospitalisation within 2 weeks,
  • Living at home or in a residence,
  • Subject living in Ile-de-France,
  • Subject speaking French; this study requires minimal participation of subjects (wearing sensors, qualitative interview) that does not appear compatible with comprehension problems,
  • MMSE Score ≥ 15
  • ADL score ≥ 3
  • Affiliated with a health insurance plan or eligible,
  • Person who has signed an informed and written consent.

Exclusion Criteria

  • Subject whose state of health requires hospitalization within two weeks,
  • Subject under guardianship or curatorship,
  • Subject living in collective housing (retirement home) or entering an institution within 2 weeks,
  • Abundant thoracic hair causing poor contact of the ECG electrodes of the physiological sensor,
  • Rejection of patient's contact information, refuses to answer questionnaires and follow-up visits, or refuses to wear sensors, Impossibility, during the initial assessment, to establish at least telephone contact with the caregiver when he or she organizes the home visit,
  • Subject already included in the study.

Outcomes

Primary Outcomes

To describe the quality of the peri-individual atmospheric environment, both indoor and outdoor

Time Frame: 3 years

The quality of the peri-individual atmospheric environment will be described by the distribution (average, maximum and cumulative values) of the daily concentrations of pollutants (PM10, NO2).

Similar Trials