Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT06444958 |
Other study ID # |
KHRC2024/050 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 1, 2023 |
Est. completion date |
December 15, 2023 |
Study information
Verified date |
May 2024 |
Source |
Kalkaal Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This retrospective observational study aimed to investigate the patterns of morbidity and
mortality among children under 5 years of age in the population served by Kalkaal Hospital.
Researchers analyzed 2023 data from the hospital's electronic medical records and
administrative databases to identify the most common pediatric diagnoses and causes of
illness and death in this community.
Description:
This study investigated the patterns of morbidity and mortality among children under 5 years
of age in the population served by Kalkaal Hospital. The specific objectives were to:
Identify the most common diagnoses and causes of illness and death in the under-5 population
presenting to Kalkaal Hospital.
Analyze demographic factors (e.g. age, sex) associated with certain disease profiles and
health outcomes.
Evaluate treatment practices, health service utilization, and mortality rates for the key
pediatric health issues identified.
Provide a comprehensive epidemiological assessment of the burden of childhood illness and
mortality in this local community.
Methods:
This was a retrospective, observational study that analyzed 2023 data from the electronic
medical records and administrative databases of Kalkaal Hospital. The researchers extracted
and analyzed the following data:
Outpatient department records: Diagnoses, treatments, patient demographics Inpatient
admission records: Admission diagnoses, treatments, patient outcomes (discharged,
transferred, died) Mortality records: Causes of death for pediatric patients The data was
cleaned, coded, and analyzed using statistical software. Descriptive statistics were
calculated to characterize the morbidity and mortality patterns. Regression analyses were
conducted to identify demographic and clinical factors associated with key health outcomes.