Evidence map›Paper›PMID 28293591›Full record

ReviewmHealth2016

Connected health: a review of the literature.

Karen Colorafi

Abstract readReview
In one paragraph

Review in mHealth, 2016. 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. Review
  3. Connected Health Services: Framework for an Impact Assessment.Journal of medical Internet research · 2019
    Article
  4. Article
  5. Rethinking the Endpoints of mHealth Intervention Research in Diabetes Care.Journal of diabetes science and technology · 2018
    Article
  6. Article
  7. Article
  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.

Karen ColorafiCollege of Nursing, Washington State University, Spokane, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of social support, and more recently, connection, has been linked to multiple health benefits and longevity measures and the lack of connection is associated with premature morbidity and mortality. Connected health is a growing industry, and we were interested in determining whether or not scholars in the field have established the ways in which technology could facilitate or promote connection between patients and healthcare providers. This integrative literature review sought to collect and analyze research studies addressing social support or connection in a sample of patients with diabetes to evaluate the social support or connection metrics in use, the type of technology deployed by researchers to achieve connection, and to assess the state of the science in this area. We hypothesized that being connected to someone who cares is good for your health. We believe this holds true even when connection is accomplished with mobile technologies. Thirty five studies were included in this review, 21 utilized technology to enhance patient-provider connection. The articles included in this review were from a total of more than nine countries and took place in hospital, physician office, and community settings. They represented people from childhood through to old age. Technologies evaluated include: telephone interventions, email, text messaging, interactive voice response (IVR), video blogs, apps, websites, and social media. There were multiple operational definitions of social support and self-management used as variables within the studies. Findings from this review suggest that being connected does matter to patients with diabetes, and being connected to family matters the most, even though the associations are complex and not always predictable. Furthermore, patients with diabetes will utilize a variety of technologies to connect with healthcare providers, team members, and even other people with the same disease. The use of technology with diabetes patients positively impacts a variety of health outcomes, such as HbA1c, weight, physical activity, healthy eating, cholesterol and frequency of glycemic monitoring.

Indexed as

Connected healthdiabetes mellitushealth information technology (HIT)social support

Identifiers

PMID28293591
PMCPMC5344146

What OpenQuestion holds

Textmetadata
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.