Evidence map›Paper›PMID 23228171›Full record

ArticleBMC medical informatics and decision making2012

Predictive modelling: parents' decision making to use online child health information to increase their understanding and/or diagnose or treat their child's health.

Anne M Walsh, Melissa K Hyde, Kyra Hamilton, Katherine M White

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  3. Validation of a Questionnaire Developed to Evaluate a Pediatric eHealth Website for Parents.International journal of environmental research and public health · 2020
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  6. Review
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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

4 authors at 2 institutions in 1 country.

Anne M WalshSchool of Nursing, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology, GPO Box 2434, Brisbane, Queensland, 4001, Australia. am.walsh@qut.edu.au
Melissa K Hyde
Kyra Hamilton
Katherine M White
Griffith University · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quantum increases in home Internet access and available online health information with limited control over information quality highlight the necessity of exploring decision making processes in accessing and using online information, specifically in relation to children who do not make their health decisions. The aim of this study was to understand the processes explaining parents' decisions to use online health information for child health care.

methodsParents (N = 391) completed an initial questionnaire assessing the theory of planned behaviour constructs of attitude, subjective norm, and perceived behavioural control, as well as perceived risk, group norm, and additional demographic factors. Two months later, 187 parents completed a follow-up questionnaire assessing their decisions to use online information for their child's health care, specifically to 1) diagnose and/or treat their child's suspected medical condition/illness and 2) increase understanding about a diagnosis or treatment recommended by a health professional.

resultsHierarchical multiple regression showed that, for both behaviours, attitude, subjective norm, perceived behavioural control, (less) perceived risk, group norm, and (non) medical background were the significant predictors of intention. For parents' use of online child health information, for both behaviours, intention was the sole significant predictor of behaviour. The findings explain 77% of the variance in parents' intention to treat/diagnose a child health problem and 74% of the variance in their intentions to increase their understanding about child health concerns.

conclusionsUnderstanding parents' socio-cognitive processes that guide their use of online information for child health care is important given the increase in Internet usage and the sometimes-questionable quality of health information provided online. Findings highlight parents' thirst for information; there is an urgent need for health professionals to provide parents with evidence-based child health websites in addition to general population education on how to evaluate the quality of online health information.

Indexed as

Consumer Health InformationDecision MakingHealth Knowledge, Attitudes, PracticeInternetAdultAgedCaregiversChildChild, PreschoolCross-Sectional StudiesFamily CharacteristicsFemaleForecastingHumansInfantLongitudinal Studies

Identifiers

PMID23228171
PMCPMC3529696
OpenAlexW2146342478

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.