Evidence map›Paper›PMID 29866644›Full record

ArticleJMIR mHealth and uHealth2018

Digital Health Intervention for Asthma: Patient-Reported Value and Usability.

Rajan Merchant, Rubina Inamdar, Kelly Henderson, Meredith Barrett, Jason G Su, Jesika Riley, David Van Sickle, David Stempel

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
14.1field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Systematic Review of Digital Interventions for Pediatric Asthma Management.The journal of allergy and clinical immunology. In practice · 2020
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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

8 authors at 5 institutions in 1 country.

Rajan MerchantDignity Health Woodland Clinic Medical Group, Woodland, CA, United States.ORCID http://orcid.org/0000-0001-7732-0692
Rubina InamdarDignity Health Mercy Medical Group, Sacramento, CA, United States.ORCID http://orcid.org/0000-0002-5527-1831
Kelly HendersonPropeller Health, Research and Development, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-8684-5367
Meredith BarrettPropeller Health, Research and Development, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-2559-199X
Jason G Su *University of California Berkeley, Berkeley, CA, United States.ORCID http://orcid.org/0000-0002-5128-0466
Jesika RileyPropeller Health, Research and Development, San Francisco, CA, United States.ORCID http://orcid.org/0000-0003-0214-8191
David Van SicklePropeller Health, Research and Development, Madison, WI, United States.ORCID http://orcid.org/0000-0002-3703-2060
David StempelPropeller Health, Research and Development, San Francisco, CA, United States.ORCID http://orcid.org/0000-0002-0125-9757
San Francisco Department of Public Health · USMercy General Hospital · USUniversity of California, Berkeley · USWiCell · USWoodland Hills Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough digital health tools are increasingly recognized as effective in improving clinical outcomes such as asthma control and medication adherence, few studies have assessed patient experiences and perception of value.

objectiveThe aim of this study was to evaluate patient satisfaction, perception of usability and value, and desire to continue after 12 months of using a digital health intervention to support asthma management.

methodsParticipants were enrolled in a randomized controlled study evaluating the impact of a digital health platform for asthma management. Participants used electronic inhaler sensors to track medication use and accessed their information in a digital health platform. Electronic surveys were administered to intervention arm participants aged 12 years and older after 12 months of use. The survey assessed asthma control, patient satisfaction with the sensor device, and perception of the usability and value of the digital health platform through closed-ended and open-ended questions. Logistic regression models were used to assess the impact of participants' characteristics on survey completion, satisfaction, and perception of value.

resultsOf the 207 intervention arm participants aged 12 years and older, 89 submitted survey responses (42.9% response rate). Of these 89 participants, 70 reported being very satisfied (79%, 70/89) or somewhat satisfied (20%, 18/89) with the inhaler sensor device. Moreover, 93% (83/89) expressed satisfaction with the reports, and 90% (80/89) found the information from the reports useful for learning about their asthma. In addition, 72% (64/89) of the participants reported that they were interested in continuing to use the sensor and platform beyond the study. There were no significant differences in satisfaction with the device or the platform across participants' characteristics, including device type, age, sex, insurance type, asthma control, or syncing history; however, participants with smartphones and longer participation were more likely to take the survey.

conclusionsElectronic sensors and a digital health platform were well received by participants who reported satisfaction and perceived value. These results were consistent across multiple participants' characteristics. These findings can add to a limited literature to keep improving digital health interventions and ensure the meaningful and enduring impact on patient outcomes.

Indexed as

asthmamHealthpatient satisfactionperceptionself-managementsurveys and questionnaires

Identifiers

PMID29866644
PMCPMC6006012
OpenAlexW2807556183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.