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International Journal of Medical Informatics
journal homepage: www.elsevier.com/locate/ijmedinf
Information needs for designing a home monitoring system for children with
medical complexity
Flory L. Nkoy
a,
⁎
, Michelle G. Hofmann
a
, Bryan L. Stone
a
, Justin Poll
b
, Lauren Clark
a
,
Bernhard A. Fassl
a
, Nancy A. Murphy
a
a
University of Utah, Pediatric Department, SLC, Utah, United States
b
Intermountain Healthcare, SLC, Utah, United States
ARTICLE INFO
Keywords:
Information
Needs
mHealth
Home monitoring
Children with medical complexity
ABSTRACT
Background Children with medical complexity (CMC) are a growing population of medically fragile children
with unique healthcare needs, who have recurrent emergency department (ED) and hospital admissions due to
frequent acute escalations of their chronic conditions. Mobile health (mHealth) tools have been suggested to
support CMC home monitoring and prevent admissions. No mHealth tool has ever been developed for CMC and
challenges exist.
Objective To: 1) assess information needs for operationalizing CMC home monitoring, and 2) determine
technology design functionalities needed for building a mHealth application for CMC.
Methods Qualitative descriptive study conducted at a tertiary care children’s hospital with a purposive sample
of English-speaking caregivers of CMC. We conducted 3 focus group sessions, using semi-structured, open-ended
questions. We assessed caregiver’s perceptions of early symptoms that commonly precede acute escalations of
their child conditions, and explored caregiver’s preferences on the design functionalities of a novel mHealth tool
to support home monitoring of CMC. We used content analysis to assess caregivers’ experience concerning CMC
symptoms, their responses, effects on caregivers, and functionalities of a home monitoring tool.
Results Overall, 13 caregivers of CMC (ages 18 months to 19 years, mean = 9 years) participated. Caregivers
identified key symptoms in their children that commonly presented 1–3 days prior to an ED visit or hospitali-
zation, including low oxygen saturations, fevers, rapid heart rates, seizures, agitation, feeding intolerance, pain,
and a general feeling of uneasiness about their child’s condition. They believed a home monitoring system for
tracking these symptoms would be beneficial, providing a way to identify early changes in their child’s health
that could prompt a timely and appropriate intervention. Caregivers also reported their own symptoms and
stress related to caregiving activities, but opposed monitoring them. They suggested an mHealth tool for CMC to
include the following functionalities: 1) symptom tracking, targeting commonly reported drivers (symptoms) of
ED/hospital admissions; 2) user friendly (ease of data entry), using voice, radio buttons, and drop down menus;
3) a free-text field for reporting child’s other symptoms and interventions attempted at home; 4) ability to
directly access a health care provider (HCP) via text/email messaging, and to allow real-time sharing of child
data to facilitate care, and 5) option to upload and post a photo or video of the child to allow a visual recall by
the HCP.
Conclusions Caregivers deemed a mHealth tool beneficial and offered a set of key functionalities to meet
information needs for monitoring CMC’s symptoms. Our future efforts will consist of creating a prototype of the
mHealth tool and testing it for usability among CMC caregivers.
What we know
•
Children with medical complexity (CMC) are a growing population
of medically fragile children who have recurrent emergency
department and hospital admissions due to frequent acute escala-
tions of their chronic conditions.
•
mHealth tools are suggested to support CMC home monitoring and
prevent admissions.
https://doi.org/10.1016/j.ijmedinf.2018.11.011
Received 1 August 2018; Received in revised form 8 October 2018; Accepted 25 November 2018
⁎
Corresponding author at: Primary Children’s Hospital, Division of Pediatric Inpatient Medicine, University of Utah School of Medicine, 100 North Medical Drive,
Salt Lake City, UT, 84113, United States.
E-mail address: flory.nkoy@hsc.utah.edu (F.L. Nkoy).
International Journal of Medical Informatics 122 (2019) 7–12
1386-5056/ © 2018 Published by Elsevier B.V.
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