Evidence map›Paper›PMID 31199312›Full record

ArticleJournal of medical Internet research2019

Creating Consumer-Generated Health Data: Interviews and a Pilot Trial Exploring How and Why Patients Engage.

Kara Burns, Craig A McBride, Bhaveshkumar Patel, Gerard FitzGerald, Shane Mathews, Judy Drennan

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The Voice of Endo: Leveraging Speech for an Intelligent System That Can Forecast Illness Flare-ups.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2025
    Article
  2. Review
  3. Unleashing the Potential for Patient-Generated Health Data (PGHD).Journal of general internal medicine · 2024
    Article
  4. Article
  5. Article
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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.

Kara BurnsQUT Business School, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-6491-4405
Craig A McBrideQueensland Children's Hospital, Children's Health Queensland, Brisbane, Australia.ORCID 0000-0001-8377-1748
Bhaveshkumar PatelQueensland Children's Hospital, Children's Health Queensland, Brisbane, Australia.ORCID 0000-0001-5771-5339
Gerard FitzGeraldSchool of Public Health & Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0003-0640-8288
Shane MathewsQUT Business School, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-5365-6586
Judy DrennanQUT Business School, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-7389-2415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsumer-generated health data (CGHD) are any clinically relevant data collected by patients or their carers (consumers) that may improve health care outcomes. Like patient experience measures, these data reflect the consumer perspective and is part of a patient-centric agenda. The use of CGHD is believed to enhance diagnosis, patient engagement, and thus foster an improved therapeutic partnership with health care providers.

objectiveThe aim of this study was to further identify how these data were used by consumers and how it influences engagement via a validated framework. In addition, carer data has not been explored for the purpose of engagement.

methodsStudy 1 used interviews with CGHD-experienced patients, carers, and doctors to understand attitudes about data collection and use, developing an ontological framework. Study 2 was a pilot trial with carers (parents) of children undergoing laparoscopic appendectomy. For 10 days carers generated and emailed surgical site photographs to a tertiary children's hospital. Subsequently, carers were interviewed about the engagement framework. In total, 60 interviews were analyzed using theme and content analysis.

resultsThis study validates a framework anchored in engagement literature, which categorizes CGHD engagement outcomes into 4 domains: physiological, cognitive, emotional, and behavioral. CGHD use is complex, interconnected, and can be organized into 10 themes within these 4 domains.

conclusionsCGHD can instigate an ecosystem of engagement and provide clinicians with an enhanced therapeutic relationship through an extended view into the patient's world. In addition to clinical diagnosis and efficient use of health care resources, data offer another tool to manage consumers service experience, especially the emotions associated with the health care journey. Collection and use of data increases consumers sense of reassurance, improves communication with providers, and promotes greater personal responsibility, indicating an empowering consumer process. Finally, it can also improve confidence and satisfaction in the service.

Indexed as

Consumer BehaviorAdultAgedData AnalysisFemaleHumansInterviews as TopicMaleMiddle AgedPilot ProjectsYoung AdultmHealthpatient engagementpatient generated health datapatient participationphotography

Identifiers

PMID31199312
PMCPMC6598415

What OpenQuestion holds

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Registered trials

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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.