H-DAV NDMC EPHI

DETERMINANTS OF TREATMENT SEEKING DELAY AMONG MALARIA PATIENTS ATTENDING HEALTH CENTERS IN META WOLKITE DISTRICT,2024


Description
Id EPHI-DS0628
Name DETERMINANTS OF TREATMENT SEEKING DELAY AMONG MALARIA PATIENTS ATTENDING HEALTH CENTERS IN META WOLKITE DISTRICT,2024
Format . SAV
Coverage Location Zonal
Coverage Sex Both
Abstract

Background: Globally Malaria disease is among the leading cause of morbidity and mortality and it is one of the public health challenges in developing countries including Ethiopia. To prevent malaria from progressing to the more severe types and from increasing mortality, early and prompt treatment seeking is essential. Even though malaria treatment is widely available in Ethiopia, most of patients present treatment seeking after 24 hours of onset of first symptoms. But; there was no previous study that depict the determinants of this delayed treatment-seeking among malaria patients in the Meta Wolkite district. Determinants of treatment seeking delay among malaria patients must therefore be identified in order to create interventions and strategies in the study area. 
Objective:  The main objective of this study was to identify the determinants of treatment seeking delay among malaria patients in Health Centers of Meta Wolkite District, Central Ethiopia, 2024. 
Methods: A facility-based case –control study design was employed from February 1, 2024 to March 30, 2024, which involved a sample of 322 confirmed malaria patients (161 cases, and 161 controls). All the study participants enrolled were confirmed malaria patients and who sought treatment. The total sample size was proportionally allocated to each of the three health facilities based on the caseloads of the previous two months. Cases and controls were enrolled by consecutive sampling method until the required sample size was obtained with 1:1. Face-to-face interviews with structured and tested questionnaires were used to gather the data. Data were entered into EpiData 4.4.2 and exported to SPSS 23.0 for analysis. Hosmer and lem show goodness of fit were used to test the model fitness. The determinants of treatment seeking delay were determined using multivariable logistic regression analysis after bivariable analysis had been used to identify candidate determinants. AOR, p-value of 0.05 with a 95% confidence interval has been judged statistically significant.  
Results: Farmer occupation (AOR=3(1.002-8.7)), Prior malaria infection (AOR=0.2(0.09-0.47)), Traditional medicine use (AOR=4.8(2.1-11)), Practice of self-medication (AOR=5.5(1.9-15.9)), Having health education on malaria infection (AOR=0.22(0.1-0.4)) and expensive health care cost (AOR=2.1(1-4.4)), were found to be important determinants of treatment seeking delay among malaria patients. 
Conclusion and Recommendations: It was identified that determinants such as farmer occupation, prior malaria infection, traditional medicine use, practice of self-medication, health education on malaria infection and expensive health care cost were determinants in treatment seeking delay. The district health offices and facilities should collaborate to provide regular health education, appropriate healthcare and minimize health care cost, and traditional healers’ inspections 

Additional Material No
Keywords
  • Treatment Seeking Delay
  • Malaria Patients
  • Meta Wolkite
  • West Shoa Zone
Recommended Yes
Location
Cleaned Yes
Cleaned Format . SAV
RawFormat . SAV
Comment
Remark
Note
Treatment
Date Data Collection Started 2024-02-01
Date Data Collection End 2024-03-30
Title DETERMINANTS OF TREATMENT SEEKING DELAY AMONG MALARIA PATIENTS ATTENDING HEALTH CENTERS IN META WOLKITE DISTRICT,2024
Data Type Laboratory
PublicationYear 2000
SugestedCitation

N/A

OtherIdType
Description

The study titled "Determinants of Treatment Seeking Delay Among Malaria Patients in Health Centres of Meta Wolkite District, Central Ethiopia, 2024" investigated the delay in seeking timely treatment among confirmed malaria cases. The dependent variable was treatment seeking delay, and the independent variables included socio-demographic characteristics, previous malaria experience, use of traditional medicine, self-medication practices, health education exposure, and perceived healthcare cost. A facility-based case–control study was conducted from February 1 to March 30, 2024, among 322 confirmed malaria patients (161 delayed and 161 timely treatment seekers) selected using a consecutive sampling method across three health centers. Data were collected via structured interviews, entered into EpiData 4.4.2, and analyzed using SPSS version 23. Multivariable logistic regression was applied to identify determinants after preliminary bivariable analysis.

Dataset study design Case Control
Date Data Archived 2025-11-04
Date Data Cataloged 2026-08-24
Data Generating Unit Others
URL https://rtds.ephi.gov.et/public/showdetail/628

Tags
Unpublished

Open Access