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Rural and urban disparities in health-seeking for fever in Myanmar: findings from a probability-based household survey
Rural and urban disparities in health-seeking for fever in Myanmar: findings from a probability-based household survey
- Source :
- Malaria journal, vol 15, iss 1, Malaria Journal
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- BackgroundThe World Health Organization (WHO) recognizes Myanmar as having the highest burden of malaria in the Greater Mekong Sub-region (GMS). Early diagnosis and proper treatment are critical in containing malaria. The objective of this study was to assess determinants of seeking treatment for fever from trained providers across rural and urban areas in Eastern Myanmar.MethodsA cross-sectional survey was conducted during the high malaria seasons in the eastern part Myanmar between August and September 2014. Multi-staged cluster sampling was used to sample households. A series of questions related to treatment-seeking for fever were asked. Bivariate and multivariate logistic regressions were conducted to identify independent correlates of seeking treatment for fever from trained providers.ResultsThe analysis was restricted to 637 participants who reported either themselves or their family members having had fever 2weeks prior to the interview. In the multivariate analysis, rural residents were less likely to have sought treatment from trained providers (AOR=0.60, 95% CI 0.42-0.88; p=0.01) while residents who had fever patients between the ages of 5 and 14years (AOR=1.60, 95% CI 0.90-2.53; p=0.05); and those who knew that sleeping under bed nets can prevent malaria (AOR=2.08, 95% CI 1.00-4.30; p=0.05); were borderline more likely to have sought treatment.ConclusionThis study suggests that rural populations need improved access to trained providers. Additionally, future programmes should focus on increasing knowledge around malaria prevention and treatment.
- Subjects :
- Rural Population
Male
Veterinary medicine
Multivariate analysis
Urban Population
Cross-sectional study
Myanmar
Rural Health
Logistic regression
Health Services Accessibility
0302 clinical medicine
Surveys and Questionnaires
80 and over
Medicine
030212 general & internal medicine
Young adult
Child
Aged, 80 and over
Family Characteristics
Health disparity
Middle Aged
Infectious Diseases
Medical Microbiology
Child, Preschool
Public Health and Health Services
Female
Cluster sampling
Infection
Adult
medicine.medical_specialty
Fever
Adolescent
030231 tropical medicine
and over
Microbiology
Young Adult
03 medical and health sciences
Rare Diseases
Clinical Research
Tropical Medicine
Environmental health
Humans
Preschool
Aged
business.industry
Research
Prevention
Public health
Infant, Newborn
Infant
Health-seeking behaviour
Patient Acceptance of Health Care
Newborn
medicine.disease
Malaria
Vector-Borne Diseases
Cross-Sectional Studies
Good Health and Well Being
Tropical medicine
Parasitology
business
Subjects
Details
- ISSN :
- 14752875
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Malaria Journal
- Accession number :
- edsair.doi.dedup.....c4228cb42411f889e3444ebe8d591509
- Full Text :
- https://doi.org/10.1186/s12936-016-1442-z