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
Purpose: The purpose of this study was to identify mobile Health (mHealth) technology utilization among caregivers of pediatric surgery patients.
Methods: We provided a modified version of the 2012 mobile health survey from the Pew Research Center to English and Spanish-speaking caregivers of children aged <18years presenting to pediatric surgical outpatient clinics from June to July of 2016.
Results: A total of 171 caregivers completed the survey and included 57 (34%) whites, 30 (18%) blacks, 75 (44%) Hispanics, and 6 (4%) other races. Among these, 160 (94%) were smartphone owners. mHealth users were identified as individuals who used their phone to look up health information online, receive text updates from healthcare providers or pharmacists, or use any health-related smartphone applications. On univariate ordered logistic regression, race/ethnicity, primary language, education level, and income quartile were associated with level of mHealth technology use. The majority of responders (n=126, 76%) said that they would be very or moderately interested in trying a new smartphone app related to management of their child's health.
Conclusion: While the majority of pediatric caregivers are smartphone owners, there are significant racial and socioeconomic differences in mHealth usage. Understanding these differences may be important in identifying barriers to adoption of mHealth technology.
Level Of Evidence: Level IV case series with no comparison group.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.jpedsurg.2017.08.023 | DOI Listing |
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