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Disparities in resource utilisation by families of children with cardiac conditions

Published online by Cambridge University Press:  07 July 2023

Francisca L. Chou
Affiliation:
Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Denis J. Donovan
Affiliation:
Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
Rachel J. Weller
Affiliation:
Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
Michael A. Fremed
Affiliation:
Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
Julie S. Glickstein
Affiliation:
Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
Usha S. Krishnan*
Affiliation:
Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Irving Medical Center, New York, NY, USA
*
Corresponding author: U. S. Krishnan; Email: usk1@cumc.columbia.edu
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Abstract

Objectives:

There are limited data documenting sources of medical information that families use to learn about paediatric cardiac conditions. Our study aims to characterise these resources and to identify any disparities in resource utilisation. We hypothesise there are significant variations in the resources utilised by families from different educational and socio-economic backgrounds.

Methods:

A survey evaluating what resources families use (websites, healthcare professionals, social media, etc.) to better understand paediatric cardiac conditions was administered to caretakers and paediatric patients at Morgan Stanley Children’s Hospital. Patients with a prior diagnosis of CHD, cardiac arrhythmia, and/or heart failure were included. Caretakers’ levels of education (fewer than 16 years vs. 16 years or more) and patients’ medical insurance types (public vs. private) were compared with regard to the utilisation of resources.

Results:

Surveys completed by 137 (91%) caretakers and 27 (90%) patients were analysed. Websites were utilised by 72% of caretakers and 56% of patients. Both private insurance and higher education were associated with greater reported utilisation of websites, healthcare professionals, and personal networks (by insurance p = 0.009, p = 0.001, p = 0.006; by education p = 0.022, p < 0.001, p = 0.018). They were also more likely to report use of electronic devices (such as a computer) compared to those with public medical insurance and fewer than 16 years of education (p < 0.001, p < 0.001, respectively).

Conclusion:

Both levels of education and insurance status are associated with the utilisation of informative resources and digital devices by families seeking to learn more about cardiac conditions in children.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Table 1. Caretaker demographic data by patient insurance type and caretaker education levela; paediatric patient demographic dataa

Figure 1

Figure 1. Caretakers’ utilizations of websites, healthcare professionals, social media, personal contacts, printed sources, and videos to learn about paediatric cardiac conditions differed between groups stratified by education level and patients’ insurance types.

Figure 2

Table 2. Resources utilization by patient insurance type and caretaker education levela

Figure 3

Figure 2. Caretakers differed significantly in their utilisation of devices such as smartphones and laptops when stratified by education level and patients’ insurance types. There were no significant differences in access to the Internet between groups.

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