Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Within the field of pediatric neurosurgery, insurance status has been shown to be associated with surgical delay, longer time to referral, and longer hospitalization in epilepsy treatment, myelomeningocele repair, and spasticity surgery. The aim of this study was to investigate the association of insurance status with inpatient adverse events (AEs), length of stay (LOS), and costs for newborns diagnosed with intraventricular hemorrhage (IVH).
Methods: A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. Patients with a primary diagnosis of intraventricular hemorrhage were identified using ICD-10-CM diagnostic and procedural codes. Patients were categorized based on insurance status: Medicaid or Private Insurance (PI). Multivariate logistic regression analyses were used to identify the impact of insurance status on extended LOS (defined as >75 percentile of LOS) and exorbitant cost (defined as >75 percentile of cost).
Results: Demographics differed significantly between groups, with the majority of newborns in the PI cohort being White (Medicaid: 35.8% vs. PI: 60.3%, P < 0.001) and the majority of Medicaid patients being in the 0-25 quartile of household income (Medicaid: 40.9% vs. PI: 12.9%, P < 0.001). While insurance status was not independently associated with increased odds of extended LOS or exorbitant cost, Medicaid patients had a greater mean LOS and total cost of admission than PI patients.
Conclusions: Demographic characteristics, mean LOS, and mean total cost differed significantly between Medicaid and PI patients, indicating potential disparities based on insurance status. However, insurance status was not independently associated with increased healthcare utilization, necessitating further research in this area of study.
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http://dx.doi.org/10.1016/j.wneu.2024.05.136 | DOI Listing |