Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Unlabelled: This study examines how patient demographics impact pediatric sensorineural hearing loss (SNHL) prevalence using the 2016 Kids' Inpatient Database (KID). By analyzing age, gender, race, income, insurance, and region, the study provides insights for early intervention and diagnosis. Multivariate regression analysis reveals associations between these factors and SNHL occurrence.
Objective: This study aims to assess the influence of patient demographics on pediatric SNHL prevalence, offering guidance for early detection and intervention strategies.
Study Design: Using 2016 KID data, this retrospective analysis investigates how patient factors like age, gender, race, income, insurance, and region relate to SNHL prevalence. Multivariate regression is employed to control for potential confounders.
Methods: Data from 6,266,285 patient discharges, including 9997 hearing loss cases, are analyzed. SNHL prevalence is calculated, and demographic variables are examined. Weighted odds ratios and multivariate regression are used to assess associations.
Results: The study finds an overall SNHL prevalence of 101.67 cases per 100,000 discharges in 2016. Non-Hispanic White patients show the highest prevalence. Black patients are more likely to be diagnosed, while Hispanic patients are less likely. Multivariate analysis highlights race, income, insurance, region, age, and sex as significant confounders.
Conclusion: This study underscores the impact of patient demographics on pediatric SNHL prevalence. Factors like race, income, insurance, and region play a role. These findings aid in risk assessment, early identification, and tailored interventions. Further research can uncover socioeconomic disparities and underlying mechanisms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.amjoto.2023.104077 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!