Evidence map›Paper›PMID 39231553›Full record

ReviewBMJ open2024

Enhancing the efficacy of healthcare information websites: a case for the development of a best practice framework.

Jennifer Tieman, Seth Nicholls

Abstract readReview
In one paragraph

Review in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Jennifer TiemanFlinders University College of Nursing and Health Sciences, Adelaide, South Australia, Australia jennifer.tieman@flinders.edu.au.ORCID 0000-0002-2611-1900
Seth NichollsFlinders University College of Nursing and Health Sciences, Adelaide, South Australia, Australia.ORCID 0000-0002-8276-5925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online healthcare information has the potential to improve health outcomes via the widespread, cost-effective translation of research evidence into practice by healthcare professionals and use by consumers. However, comparatively little is known about how healthcare professionals and consumers engage with healthcare websites, or whether the knowledge that is made available through digital platforms is translated into better health outcomes. To realise the potential of such resources, we argue that an evidence-based framework-grounded in a nuanced understanding of how audiences engage with and use information provided by healthcare websites-is needed. The goal of this paper is to outline a case for the development of a best-practice framework that can guide the development of websites that provide healthcare information to clinicians and consumers. In addition to supporting the design of more effective online resources, a common framework for understanding how better health outcomes can be achieved via digital knowledge translation has the potential to significantly improve patient outcomes in the face of a complex, rapidly changing and resource-constrained healthcare landscape.

Indexed as

InternetConsumer Health InformationHumansAdult palliative careHealth EducationHealth EquityPUBLIC HEALTH

Identifiers

PMID39231553
PMCPMC11733786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.