Contents lists available at ScienceDirect 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 childrens 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 caregivers perceptions of early symptoms that commonly precede acute escalations of their child conditions, and explored caregivers preferences on the design functionalities of a novel mHealth tool to support home monitoring of CMC. We used content analysis to assess caregiversexperience concerning CMC symptoms, their responses, eects 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 identied key symptoms in their children that commonly presented 13 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 childs condition. They believed a home monitoring system for tracking these symptoms would be benecial, providing a way to identify early changes in their childs 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 eld for reporting childs 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 benecial and oered a set of key functionalities to meet information needs for monitoring CMCs symptoms. Our future eorts 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 Childrens 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: ory.nkoy@hsc.utah.edu (F.L. Nkoy). International Journal of Medical Informatics 122 (2019) 7–12 1386-5056/ © 2018 Published by Elsevier B.V. T