Evidence map›Paper›PMID 20419038›Full record

ArticleBiomedical informatics insights2009

Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding.

Laurence Alpay, John Verhoef, Bo Xie, Dov Te'eni, J H M Zwetsloot-Schonk

Abstract read
In one paragraph

Article in Biomedical informatics insights, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  8. Assessment of self-medication practice and the potential to use a mobile app to ensure safe and effective self-medication among the public in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
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  17. Uncovering patterns of technology use in consumer health informatics.Wiley interdisciplinary reviews. Computational statistics · 2013
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  19. Article
  20. 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

5 authors.

Laurence AlpayClinical Informatics Group, Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre (LUMC), Leiden, The Netherlands.
John Verhoef
Bo Xie
Dov Te'eni
J H M Zwetsloot-Schonk

Funding

REGIONAL MEDICAL LIBRARY SERVICES FOR REGION TWON01LM063502 · NLM · UNIVERSITY OF MARYLAND BALTIMORE · PI FENG, CYRIL C · 1986 to 1991
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NLM NIH HHS N01 LM063502
6 · The paper itself

Abstract

The number of health-related websites has proliferated over the past few years. Health information consumers confront a myriad of health related resources on the internet that have varying levels of quality and are not always easy to comprehend. There is thus a need to help health information consumers to bridge the gap between access to information and information understanding-i.e. to help consumers understand health related web-based resources so that they can act upon it. At the same time health information consumers are becoming not only more involved in their own health care but also more information technology minded. One way to address this issue is to provide consumers with tailored information that is contextualized and personalized e.g. directly relevant and easily comprehensible to the person's own health situation. This paper presents a current trend in Consumer Health Informatics which focuses on theory-based design and development of contextualized and personalized tools to allow the evolving consumer with varying backgrounds and interests to use online health information efficiently. The proposed approach uses a theoretical framework of communication in order to support the consumer's capacity to understand health-related web-based resources.

Identifiers

PMID20419038
PMCPMC2858407

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.