Evidence map›Paper›PMID 33302881›Full record

ArticleBMC family practice2020

Parents' health information seeking behaviour - does the child's health status play a role?

Isabel Baumann, Rebecca Jaks, Dominik Robin, Sibylle Juvalta, Julia Dratva

Abstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Compassion-Focused Approach to Support Parents After Preterm Birth.Clinical child and family psychology review · 2025
    Review
  5. Article
  6. Families' Strategies for Navigating Care for Their Child With Cerebral Palsy: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. [Digital health literacy in Germany: current status, concepts, and challenges].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Review
  13. Article
  14. Article
  15. Article
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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

5 authors.

Isabel BaumannInstitute of Health Sciences, School of Health Professions, Zurich University of Applied Sciences, Winterthur, Switzerland.
Rebecca JaksInstitute of Health Sciences, School of Health Professions, Zurich University of Applied Sciences, Winterthur, Switzerland.
Dominik RobinInstitute of Health Sciences, School of Health Professions, Zurich University of Applied Sciences, Winterthur, Switzerland.
Sibylle JuvaltaInstitute of Health Sciences, School of Health Professions, Zurich University of Applied Sciences, Winterthur, Switzerland.
Julia DratvaMedical Faculty, University of Basel, Klingelbergstrasse 61, Basel, 4056, Switzerland. julia.dratva@zhaw.ch.ORCID 0000-0002-9003-2027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital media are increasingly abundant providing a wide scope of health information. To date, very little is known about parental health information seeking behaviour for child health outside of English-speaking and Nordic countries. Our study "Digital parental counsellors" examines how parents search for health information in digital media, print media and among "personal contacts", distinguishing between the search for information about general child health and development and child's acute illness, and comparing information seeking behaviour by disability status of the child.

methodsThe population-based sample consisted of 769 parents with children aged 0-2 in the German-speaking region of Switzerland returning the study questionnaire (30% response rate). We developed a frequency score of use of different information sources and conducted bivariate and multivariate linear regression analyses to describe parental search behaviour and the association with child's disability status.

resultsThe sample consists of 88% mothers (mean age: 35.7 years SD 4.33). Children's mean age is 16 months (SD 7.1), 49% of the children are female and 6% have a disability. Parents use digital media significantly more frequently to search for information about general health and development questions than about an acute child's illness (p < 0.001). In case of acute child's illness, parents refer to their paediatrician, family members and other personal contacts significantly more frequently than other information sources (p < 0.001). The use of digital media and "personal contacts" does not significantly vary between parents with and without a disabled child, whereas the use of print media does (p < 0.02). Moreover, irrespective of disability, 45% of parents resort to the Internet prior to a paediatric visit and 27% after a visit when a visit did not answer all questions.

conclusionsDespite the high prevalence of digital media, personal contacts are still the most frequent health information resource for parents with young children, irrespective of the child's health. Parents combine all information resources (online, print, personal network) to improve their understanding or check the validity of information received regarding their child's health. It is thus of utmost importance, that the increasingly accessed digital information parents search for is correct, understandable and addresses parent's concerns.

trial registrationBASEC Req-2017-00817 (30 October 2017).

Indexed as

Information Seeking BehaviorInternetAdultChildChild, PreschoolFemaleHealth BehaviorHealth StatusHumansInfantParentsSurveys and QuestionnairesDigital media useDisabilityHealth informationIllnessInformation seeking behaviourParents

Identifiers

PMID33302881
PMCPMC7730778

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Registered trials

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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.