Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05951335 |
Other study ID # |
AG2023 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
January 1, 2023 |
Est. completion date |
June 30, 2023 |
Study information
Verified date |
July 2023 |
Source |
Prince of Songkla University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
This intervention study aims to investigate the effects of the m-Health supportive care
transition program on response patterns (transition stress and the burden of caregiving)
among traumatic brain injury (TBI) caregivers and patients' readmission rate one month after
hospital discharge. Specific objectives:
1. Compare the response patterns (transition stress and the burden of caregiving) of TBI
caregivers before and after receiving the program within the group.
2. Compare TBI caregivers' response patterns (transition stress and the burden of
caregiving) between the control and intervention groups.
3. Compare patients' readmission rates at one month after hospital discharge between the
control and intervention groups
TBI caregivers are divided into two groups: the intervention group (who receive the
transitional care program) and the control group (who receive the standard care program)
according to standard operating procedures applicable in the hospital.
If there is a comparison group: Researchers will compare [insert groups] to see if [insert
effects]
Description:
The M-health Program Application prototype concept is designed to assist the need for
intervention in providing patient care during the transition of patients with TBI from
hospital care to home, which nurses and patients can use as users. This program begins with
education and face-to-face information using flipcharts and direct demonstration skills. The
application can provide an overview of interventions carried out by TBI caregivers while at
home. This will later improve the quality of service in the rehabilitation of post-TBI. This
application provides education and information on TBI caregivers regarding (a) how to treat
patients with TBI at home, which includes craniotomy wound care and how to provide nutrition,
(b) recognize signs of infection in wounds of craniotomy, (c) recognize emergencies in cases
of TBI patients at home, (d) stress management, and (e) how to arrange a schedule for the
care of patients with TBI at home. This program complements routine care, including education
about physical health, TBI medical problems, and how to treat TBI patients at home.
When patients with TBI are still being treated at the hospital, researchers will directly
educate TBI caregivers about the components contained in m-Health. M-Health is a
caregiver-assisting tool in remembering educational materials provided by researchers while
in the hospital so that TBI caregivers can access educational materials quickly accompanied
by educational videos that can make it easier for them to treat patients with TBI at home.
There is also an online chat service within m health that allows direct chat communication
between researchers and caregivers at home and can facilitate researchers in ensuring that
caregivers use m-health at home. There is also a feature that provides a contact number that
can be contacted when the caregiver has problems or needs assistance in caring for patients
at home.
The m-Health program is also accompanied by monitoring and follow-up telephones to support
TBI caregivers and assist in solving TBI caregivers' problems during the transition from
hospital to home. M-health Program Application is run using an Android-based operating
system. Android is software used by mobile devices that includes an operating system,
middleware, and critical applications. Application development on the Android platform uses
the Framework Flutter programming language. In addition, Android relies on Linux version 2.6
for core system services such as security, memory management, process management, network
stack, and driver models. The kernel also acts as an abstraction layer between the hardware
and the rest of the software stack.