Evidence map›Paper›PMID 22726578›Full record

ArticleBMC medical informatics and decision making2012

Designing and evaluating a web-based self-management site for patients with type 2 diabetes--systematic website development and study protocol.

Catherine H Yu, Janet Parsons, Muhammad Mamdani, Gerald Lebovic, Baiju R Shah, Onil Bhattacharyya, Andreas Laupacis, Sharon E Straus

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. 2017 National Standards for Diabetes Self-Management Education and Support.Diabetes spectrum : a publication of the American Diabetes Association · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Evidence-based clinical use of insulin premixtures.Diabetology & metabolic syndrome · 2013
    Article
  13. Review
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 3 institutions in 1 country.

Catherine H YuKeenan Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada. yuca@smh.ca
Janet Parsons
Muhammad Mamdani
Gerald Lebovic
Baiju R Shah
Onil Bhattacharyya
Andreas Laupacis
Sharon E Straus
St. Michael's Hospital · CAUniversity of Toronto · CAInstitute for Clinical Evaluative Sciences · CA

Funding

Canadian Institutes of Health Research KAL 94484
6 · The paper itself

Abstract

backgroundGiven that patients provide the majority of their own diabetes care, patient self-management training has increasingly become recognized as an important strategy with which to improve quality of care. However, participation in self management programs is low. In addition, the efficacy of current behavioural interventions wanes over time, reducing the impact of self-management interventions on patient health. Web-based interventions have the potential to bridge the gaps in diabetes care and self-management.

methodsOur objective is to improve self-efficacy, quality of life, self-care, blood pressure, cholesterol and glycemic control and promote exercise in people with type 2 diabetes through the rigorous development and use of a web-based patient self-management intervention. This study consists of five phases: (1) intervention development; (2) feasibility testing; (3) usability testing; (4) intervention refinement; and (5) intervention evaluation using mixed methods. We will employ evidence-based strategies and tools, using a theoretical framework of self-efficacy, then elicit user feedback through focus groups and individual user testing sessions. Using iterative redesign the intervention will be refined. Once finalized, the impact of the website on patient self-efficacy, quality of life, self-care, HbA1c, LDL-cholesterol, blood pressure and weight will be assessed through a non-randomized observational cohort study using repeated measures modeling and individual interviews. DISCUSSION: Increasing use of the World Wide Web by consumers for health information and ongoing revolutions in social media are strong indicators that users are primed to welcome a new era of technology in health care. However, their full potential is hindered by limited knowledge regarding their effectiveness, poor usability, and high attrition rates. Our development and research agenda aims to address these limitations by improving usability, identifying characteristics associated with website use and attrition, and developing strategies to sustain patient use in order to maximize clinical outcomes.

Indexed as

Medical Informatics ApplicationsCanadaCholesterol, HDLClinical ProtocolsConsumer Health InformationDiabetes Mellitus, Type 2Evidence-Based MedicineFeasibility StudiesFemaleFocus GroupsGlycated HemoglobinHumansInternetMaleOutcome Assessment, Health CarePatient Acceptance of Health CareCholesterol, HDLGlycated Hemoglobin

Identifiers

PMID22726578
PMCPMC3473319
OpenAlexW2065928745

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.