Evidence map›Paper›PMID 29942573›Full record

ReviewDigital health

'Pushed' self-tracking using digital technologies for chronic health condition management: a critical interpretive synthesis.

Heather Morgan

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  8. 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

1 author.

Heather MorganHealth Services Research Unit (HSRU), University of Aberdeen, UK.

Funding

Chief Scientist Office HSRU2
6 · The paper itself

Abstract

introductionHealth policies internationally advocate health services provider support for health services users' 'self-management' of chronic health conditions. Digital technologies are beginning to have a role in delivering such support. 'Pushed' self-tracking of health-related information, including imposed measurement of biomedical and behavioural data, is one approach; however, there is little systematic or discursive research. The aim of this research was to explore factors relevant to the implementation of 'pushed' self-tracking technologies into support for self-management of chronic health conditions interventions.

methodsThis paper reports a critical interpretive synthesis of studies involving 'pushed' self-tracking using digital technologies to support the self-management of chronic health conditions. The review systematically identified relevant literature, characterised the technologies and discursively explored their implementation and impacts, and human technology interactions.

findingsThe literature (

conclusionsThis is a rapidly developing field and early technical and clinical insights are useful. There are opportunities for researchers to explore the sociological and behavioural aspects, and ethical challenges, of implementing 'pushed' self-tracking support programmes too. Detailed multidisciplinary research is needed to understand and guide technical and medical developments that integrate digital technologies into the delivery of care.

Indexed as

chronic health conditionsDigital technologieshealth monitoringself-managementself-tracking

Identifiers

PMID29942573
PMCPMC6001233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.