Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jan 26;4(1):e25413.
doi: 10.2196/25413.

Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs

Affiliations

Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs

Victoria L Tiase et al. JMIR Pediatr Parent. .

Abstract

Background: Adolescents are using mobile health apps as a form of self-management to collect data on symptoms, medication adherence, and activity. Adding functionality to an electronic health record (EHR) to accommodate disease-specific patient-generated health data (PGHD) may support clinical care. However, little is known on how to incorporate PGHD in a way that informs care for patients. Pediatric asthma, a prevalent health issue in the United States with 6 million children diagnosed, serves as an exemplar condition to examine information needs related to PGHD.

Objective: In this study we aimed to identify and prioritize asthma care tasks and decisions based on pediatric asthma guidelines and identify types of PGHD that might support the activities associated with the decisions. The purpose of this work is to provide guidance to mobile health app developers and EHR integration.

Methods: We searched the literature for exemplar asthma mobile apps and examined the types of PGHD collected. We identified the information needs associated with each decision in accordance with consensus-based guidelines, assessed the suitability of PGHD to meet those needs, and validated our findings with expert asthma providers.

Results: We mapped guideline-derived information needs to potential PGHD types and found PGHD that may be useful in meeting information needs. Information needs included types of symptoms, symptom triggers, medication adherence, and inhaler technique. Examples of suitable types of PGHD were Asthma Control Test calculations, exposures, and inhaler use. Providers suggested uncontrolled asthma as a place to focus PGHD efforts, indicating that they preferred to review PGHD at the time of the visit.

Conclusions: We identified a manageable list of information requirements derived from clinical guidelines that can be used to guide the design and integration of PGHD into EHRs to support pediatric asthma management and advance mobile health app development. Mobile health app developers should examine PGHD information needs to inform EHR integration efforts.

Keywords: adolescents; asthma; information needs; mobile health; patient-generated health data; pediatrics; symptom management.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Similar articles

Cited by

References

    1. Thomas Mike. Why aren't we doing better in asthma: time for personalised medicine? NPJ Prim Care Respir Med. 2015 Mar 05;25(1):1–4. doi: 10.1038/npjpcrm.2015.4. doi: 10.1038/npjpcrm.2015.4.npjpcrm20154 - DOI - DOI - PMC - PubMed
    1. Zahran HS, Bailey CM, Damon SA, Garbe PL, Breysse PN. Vital Signs: asthma in children—United States, 2001-2016. MMWR Morb Mortal Wkly Rep. 2018 Feb 09;67(5):149–155. doi: 10.15585/mmwr.mm6705e1. doi: 10.15585/mmwr.mm6705e1. - DOI - DOI - PMC - PubMed
    1. Papadopoulos NG, Arakawa H, Carlsen K, Custovic A, Gern J, Lemanske R, Le Souef P, Mäkelä M, Roberts G, Wong G, Zar H, Akdis CA, Bacharier LB, Baraldi E, van Bever HP, de Blic J, Boner A, Burks W, Casale TB, Castro-Rodriguez JA, Chen YZ, El-Gamal YM, Everard ML, Frischer T, Geller M, Gereda J, Goh DY, Guilbert TW, Hedlin G, Heymann PW, Hong SJ, Hossny EM, Huang JL, Jackson DJ, de Jongste JC, Kalayci O, Aït-Khaled N, Kling S, Kuna P, Lau S, Ledford DK, Lee SI, Liu AH, Lockey RF, Lødrup-Carlsen K, Lötvall J, Morikawa A, Nieto A, Paramesh H, Pawankar R, Pohunek P, Pongracic J, Price D, Robertson C, Rosario N, Rossenwasser LJ, Sly PD, Stein R, Stick S, Szefler S, Taussig LM, Valovirta E, Vichyanond P, Wallace D, Weinberg E, Wennergren G, Wildhaber J, Zeiger RS. International consensus on (ICON) pediatric asthma. Allergy. 2012 Aug;67(8):976–997. doi: 10.1111/j.1398-9995.2012.02865.x. http://europepmc.org/abstract/MED/22702533 - DOI - PMC - PubMed
    1. Venkataramanan R, Thirunarayan K, Jaimini U, Kadariya D, Yip HY, Kalra M, Sheth A. Determination of personalized asthma triggers from multimodal sensing and a mobile app: observational study. JMIR Pediatr Parent. 2019 Jun 27;2(1):e14300. doi: 10.2196/14300. https://pediatrics.jmir.org/2019/1/e14300/ v2i1e14300 - DOI - PMC - PubMed
    1. Rudin RS, Fanta CH, Predmore Z, Kron K, Edelen MO, Landman AB, Zimlichman E, Bates DW. Core components for a clinically integrated mhealth app for asthma symptom monitoring. Appl Clin Inform. 2017 Oct;8(4):1031–1043. doi: 10.4338/ACI-2017-06-RA-0096. http://europepmc.org/abstract/MED/29241243 - DOI - PMC - PubMed

LinkOut - more resources