Evidence map›Paper›PMID 33496674›Full record

ArticleJMIR pediatrics and parenting2021

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

Victoria L Tiase, Katherine A Sward, Guilherme Del Fiol, Catherine Staes, Charlene Weir, Mollie R Cummins

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Victoria L TiaseThe Value Institute, New York-Presbyterian Hospital, New York, NY, United States.ORCID https://orcid.org/0000-0001-5653-2282
Katherine A SwardCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-6568-4031
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9954-6799
Catherine StaesCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5423-3251
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-8297-2860
Mollie R CumminsCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-7078-8479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescents 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.

objectiveIn 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.

methodsWe 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.

resultsWe 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.

conclusionsWe 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.

Indexed as

adolescentsasthmainformation needsmobile healthpatient-generated health datapediatricssymptom management

Identifiers

PMID33496674
PMCPMC8414476

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