Ignite Creation Date:
2024-05-06 @ 7:18 PM
Last Modification Date:
2024-10-26 @ 3:04 PM
Study NCT ID:
NCT05961163
Status:
TERMINATED
Last Update Posted:
2023-09-13
First Post:
2023-07-17
Brief Title:
Chronical Illness-related Limitations of the Ability to Cope With Rising Temperatures an Observational Study
Sponsor:
Universitätsklinikum Hamburg-Eppendorf
Organization:
Universitätsklinikum Hamburg-Eppendorf
Study Overview
Official Title:
Chronical Illness-related Limitations of the Ability to Cope With Rising Temperatures an Observational Study CLIMATE
Status:
TERMINATED
Status Verified Date:
2023-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Terminated due to an unusually cold and rainy summer Eg in Hamburg the average temperature between 16 July and 15 August 2023 was below 17C Collected data will be used to pilot study design and questionnaire We plan to repeat the study in 2024
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
CLIMATE
Brief 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
Detailed 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 30C 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 Germanys 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
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 Germanys 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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None