Evidence map›Paper›PMID 31210138›Full record

ArticleJournal of medical Internet research2019

Context-Aware Systems for Chronic Disease Patients: Scoping Review.

Kathleen Yin, Liliana Laranjo, Huong Ly Tong, Annie Ys Lau, A Baki Kocaballi, Paige Martin, Sanjyot Vagholkar, Enrico Coiera

Abstract readScoping Review
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Patient Work and Their Contexts: Scoping Review.Journal of medical Internet research · 2020
    Article
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.

Kathleen Yin *Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0001-8004-9805
Liliana Laranjo *Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0003-1020-3402
Huong Ly TongCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-8462-0105
Annie Ys LauCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-3028-4222
A Baki KocaballiCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-8328-5317
Paige MartinCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-6157-4740
Sanjyot VagholkarMacquarie University Health Sciences Centre, Macquarie University, Sydney, Australia.ORCID 0000-0002-1002-3623
Enrico CoieraCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID 0000-0002-6444-6584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContext-aware systems, also known as context-sensitive systems, are computing applications designed to capture, interpret, and use contextual information and provide adaptive services according to the current context of use. Context-aware systems have the potential to support patients with chronic conditions; however, little is known about how such systems have been utilized to facilitate patient work.

objectiveThis study aimed to characterize the different tasks and contexts in which context-aware systems for patient work were used as well as to assess any existing evidence about the impact of such systems on health-related process or outcome measures.

methodsA total of 6 databases (MEDLINE, EMBASE, CINAHL, ACM Digital, Web of Science, and Scopus) were scanned using a predefined search strategy. Studies were included in the review if they focused on patients with chronic conditions, involved the use of a context-aware system to support patients' health-related activities, and reported the evaluation of the systems by the users. Studies were screened by independent reviewers, and a narrative synthesis of included studies was conducted.

resultsThe database search retrieved 1478 citations; 6 papers were included, all published from 2009 onwards. The majority of the papers were quasi-experimental and involved pilot and usability testing with a small number of users; there were no randomized controlled trials (RCTs) to evaluate the efficacy of a context-aware system. In the included studies, context was captured using sensors or self-reports, sometimes involving both. Most studies used a combination of sensor technology and mobile apps to deliver personalized feedback. A total of 3 studies examined the impact of interventions on health-related measures, showing positive results.

conclusionsThe use of context-aware systems to support patient work is an emerging area of research. RCTs are needed to evaluate the effectiveness of context-aware systems in improving patient work, self-management practices, and health outcomes in chronic disease patients.

Indexed as

AdolescentAdultAwarenessChildChild, PreschoolChronic DiseaseHumansMedical InformaticsMiddle AgedMobile ApplicationsSelf-ManagementYoung Adultchronic diseasemedical informaticsmobile applicationsself-careself-management

Identifiers

PMID31210138
PMCPMC6601254

What OpenQuestion holds

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LicenceCC BY
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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.