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Because of unacceptably high morbidity and mortality, malnutrition, low standard of living conditions, short life expectancy, and poor utilization of health care systems, health remains a crucial factor in recent years, with a growing recognition that a country suffers as a result of an unacceptably high burden of illness, premature mortality, and public ignorance. Delays in receiving adequate care for sufferings can be life threatening and have been associated with limited education and their difficulties in recognizing the severity of the illness. Long waits for healthcare have been found to reduce patient satisfaction and lead to an inefficient healthcare system by increasing the usage of emergency and urgent need. The present study explores delays in health seeking behaviour in accessing proper care for sufferings, which result in delays in diagnosis and treatment, and these delays are hypothesised to have an adverse effect on individual health and impose a significant financial burden. Access to preventative treatment improves health outcomes; however, little research has been conducted in this subject to evaluate the empirical relationship between how long patients wait for outpatient care and their health outcomes. Estimates of how long people wait for healthcare are mostly based on self-reported data. Chi-squared distribution has simply done in order to get the difference between zero delayed patient and high delayed patient. Logistic regression model used to determine the factors associated with delayed patients.
Keywords:
morbidity, mortality Odisha, Inpatient, Outpatient, Health Expenditure, Health insurance.
Cite Article:
"Perceived delay in health seeking behaviour of rural population in Odisha.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a257-a267, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504038.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator