Clinical Trial Details
— Status: Terminated
Administrative data
NCT number |
NCT05961163 |
Other study ID # |
IPA-2023-01 |
Secondary ID |
|
Status |
Terminated |
Phase |
|
First received |
|
Last updated |
|
Start date |
July 24, 2023 |
Est. completion date |
September 3, 2023 |
Study information
Verified date |
September 2023 |
Source |
Universitätsklinikum Hamburg-Eppendorf |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The CLIMATE Observational Study examines to what extent chronically ill patients experience
adverse health effects because of heat and whether the patients' specific efforts,
somatosensory amplification, self-efficacy, health literacy and commitment to the GP, degree
of urbanisation of the patients' administration district and characteristics of the patients'
neighborhood are associated with these effects.
Description:
The CLIMATE Observational Study aims to analyse to what extent chronically ill patients
experience adverse health effects because of heat and whether the patients' specific efforts,
self-efficacy, or other factors are associated with these effects. This cohort study is based
on an online survey of patients with chronic illness who are recruited in GP practices across
all regions of Germany. After the baseline assessment, participants fill out symptom diaries
on one specific day of observation per week over a maximum period of 12 weeks. The specific
days of observation within the time frame between 29 July and 8 September are selected based
on the maximum temperature that can be expected within the respective weeks. The weather
forecast will be checked every Friday. If, in the upcoming 4 days, the maximum temperature is
expected to exceed 30°C, the warmest day in this time frame will be chosen. Otherwise, the
weather forecast will be checked again on Tuesday to choose the warmest of the remaining days
of the week. The specific days of observation within the time frame between 9 September and
27 October are randomly selected. On each day of observation, patients are notified by email
at 6 pm.
Baseline assessment includes socio-demographic data, health-related quality of life, efforts
against adverse effects of heat, somatosensory amplification, self-efficacy, health literacy
and commitment to the GP. Local data on temperatures and humidity will be assessed by the
measurement stations of Germany's National Meteorological Service. Degree of urbanisation of
administration districts is provided by the German Federal Institute for Research on
Building, Urban Affairs and Spatial Development. Additionally, small scale data on population
density, number of one-person households, unemployment rates and other neighbourhood
characteristics are provided by the German Statistical Offices. Data will be analyzed by
multivariable, multilevel regression analyses adjusted for possible confounders and random
effects on the administration district and practice within administration district level.