Predictors of patients’ knowledge of causes, signs and symptoms of among health care workers regarding uncomplicated Malaria fever in the primary healthcare facilities in Saudi Arabia 2022

Abstract

Background:

Uncomplicated malaria is disease in Saudi Arabia caused mainly through a parasitic infection, Plasmodium falciparum, with resulting symptoms including fever, headache, joint pain, malaise, vomiting, body ache, poor appetite and body weakness, without signs of severity or evidence of vital organ dysfunction. According to the malaria treatment guideline for Saudi Arabia, case management of the disease involves early diagnosis and prompt treatment with effective and recommended anti-malarial drugs. The guideline states clearly the use of artemether-lumefantrine as the recommended anti-malarial drug for the case management of uncomplicated malaria treatment after diagnosis, using either microscopy or RDTs approach in identifying the parasite, or the use of artesunateamodiaquine if artemether-lumefantrine is unavailable. Malaria is one of the deadliest mosquito-borne diseases in the world. More than 80% of the total [1]populations are at risk of malaria in the 22 countries in Asia and the Pacific. South Asia alone is home to an estimated 1.4 billion people at risk of contracting malaria. Aim of the study: To determined factors that influenced patients’ knowledge, of causes, signs and symptoms regarding uncomplicated malaria in primary healthcare (PHC) facilities in Makah City at Saudi Arabia 2022. Methods: Across sectional descriptive study conducted among including health care workers at the primary healthcare in Makah Al-Mokarramah city, during the October to December, 2022, the Sample size of medical practitioners. Our total participants were (350). Results: shows the majority of participant approximately (40.0%) was aged from 35-50 years of age. Regarding sex, more than half of participant (64.9%) were male, regarding marital status, the majority of participant more than half (38.0%) were divorced, also for educational level, this table reveals that approximately of participant (30.0%) were primary and  university. Conclusion: The overall outcomes showed significant differences and relationships between the variables, and the overall outcomes of multinomial logistic regression analysis indicated that patients’ knowledge on uncomplicated malaria was predicted from age, highest level of education, attitudes and practices, while their attitudes were predicted by gender, occupation, monthly income, knowledge and practices. Their practice with regard to the treatment of malaria was significantly predicted by their monthly incomes,