Viewing Study NCT04633603


Ignite Creation Date: 2025-12-24 @ 7:43 PM
Ignite Modification Date: 2025-12-26 @ 3:03 PM
Study NCT ID: NCT04633603
Status: ENROLLING_BY_INVITATION
Last Update Posted: 2024-12-12
First Post: 2020-10-29
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: LázBarát™ (FeverFriend™) Projekt: Attitude Toward Fever and Its Change in the Healthcare System
Sponsor: University of Pecs
Organization:

Study Overview

Official Title: LázBarát™ (FeverFriend™) Projekt: Attitude Toward Fever and Its Change in the Healthcare System
Status: ENROLLING_BY_INVITATION
Status Verified Date: 2024-12
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: The positive effects of fever are supported by a number of physiological, pathophysiological and clinical evidence. However, the negative attitude toward fever is widespread and have become persistent. According to sociological research, this is based on two main factors: comfort and fear. To change this negative attitude, awareness needs to be raised and the attitude toward fever among health care workers and the lay public needs to be reframed positively. Furthermore, the role of media users is essential, especially among the young generation.

The current Hungarian recommendation/protocol is valid since 2011 (Professional protocol of the Ministry of National Resources: Caring for a child with fever, the recommendation of the College of Pediatric and Pediatric However, the practical implementation among health professionals and the laity public is low.

Based on this protocol and current international guidelines (NICE) clinicians developed a protocol and register, where parents and caregivers can document the symptoms and runoff of fever as well as receive feedback on severity and appropriate management.

The project aims to increase the evidence-based (EBM) guideline adherence, to reduce the unnecessary use of antipyretics and antibiotics, as well as the load on the current healthcare system. The documentation of the collected data allows the investigators to map and analyze (stats) socio-demographic behavior both on individual and societal level.
Detailed Description: Goal:

Reframing the negative attitude toward fever. Reducing unnecessary use of drugs (antipyretics and antibiotics) as well as lower the number of medical consultations. In order, the investigators will use a media-based mobile application and a web knowledge base. Languages English and Hungarian.

Hypotheses:

1. The mobile application and knowledge base increases health literacy of parents and professionals.
2. The application will change the uncertain and/or negative attitude toward fever.
3. The positive change in attitude will influence antipyretic and consecutive antibiotic use, lower medical provider contact, enhancing the practical implementation of guidelines.

Method:

Noninvasive, noninterventional, self-reported, observational, prospective cohort study under real-life conditions.

Data: provided by caregivers and/or patients are grouped and classified based on the severity of the disease behind the fever.

Data analysis:

Analysis sample size calculation: To analyze guideline-adherent and non-adherent behavior at a 95% binomial confidence interval with an accuracy of +/- 2%, at least 500 fever phases are required if the smaller group comprises 5%. The investigators a-priory estimation based on surveys is that only about 15% of caretakers have a guideline-conforming approach to the management of fever, hence 1,500 fever events are needed for the planned accuracy. If adherent and non-adherent groups are approximately the same size, a maximum of ca. 2,500 fever phases are required.

The exact incidence of fever per age group is not yet known. Larger samples are required - and expected - for subgroup analyses (e.g. between age groups). Recruitment will therefore continue throughout to year 3 and beyond. The Chi² test is used to compare two subgroups. Sample size planning cannot take unplanned multiple testing into account, so the results can only be interpreted exploratively.

Subsample calculations: If a difference of 5% between two frequencies is interpreted as clinically significant, at a power of 80% and an alpha error probability of 5% assuming normal distribution in both subsamples, the following sample sizes are required: For a very rare sample, ca. 200 cases per subsample are sufficient. If the rate is around 50%, ca. 1,600 cases per subsample are required.

Software: IBM SPSS Statistics 22, Microsoft Excel ...

Research partners providing theoretical and professional background:

University of Pécs Hungarian Medical Chamber (Győr-Moson-Sopron Megye) University of Witten Heim Pál Childrens Hospital National Emergency Service Healthware Tanácsadó Kft. Dr. Szőke Henrik és Társa Egészségügyi Szolgáltató Kft.

Organizational tasks are conducted in the framework of the University of Pécs, Faculty of Health Sciences and by the Civil Support Közhasznú Nonprofit Kft.

Study Oversight

Has Oversight DMC: False
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?: False
Is an FDA AA801 Violation?: