Evidence map›Paper›PMID 32503483›Full record

ArticleBMC public health2020

Use and importance of different information sources among patients with rare diseases and their relatives over time: a qualitative study.

Svenja Litzkendorf, Martin Frank, Ana Babac, Daniel Rosenfeldt, Franziska Schauer, Tobias Hartz, J-Matthias Graf von der Schulenburg

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  16. Rare disease education in Europe and beyond: time to act.Orphanet journal of rare diseases · 2022
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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

7 authors at 3 institutions in 1 country.

Svenja LitzkendorfCenter for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany. sl@cherh.de.ORCID http://orcid.org/0000-0003-1342-7196
Martin FrankFaculty of Public Health Services, Ostfalia University of Applied Science, Rothenfelder Straße 10, 38440, Wolfsburg, Germany.
Ana BabacCenter for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Daniel RosenfeldtCenter for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Franziska SchauerDepartment of Dermatology, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Hauptstraße 7, 79104, Freiburg, Germany.
Tobias HartzClinical Cancer Registry of Lower Saxony, Sutelstraße 2, 30659, Hannover, Germany.
J-Matthias Graf von der SchulenburgCenter for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Leibniz University Hannover · DEOstfalia University of Applied Sciences · DEUniversity of Freiburg · DE

Funding

Bundesministerium für Gesundheit IIA5-2513FSB801
6 · The paper itself

Abstract

backgroundFinding reliable information on one of more than 7000 rare diseases is a major challenge for those affected. Since rare diseases are defined only by the prevalence criterion, a multitude of heterogeneous diseases are included. Common to all, however, are difficulties regarding information access. Even though various quantitative studies have analyzed the use of different information sources for specific rare diseases, little is known about the use of information sources for different rare diseases, how users rate these information sources based on their experiences, and how the use and importance of these information sources change over time.

methodsFifty-five patients with a variety of rare diseases and 13 close relatives participated in qualitative interviews. For these interviews, a semi-structured guideline was developed, piloted, and revised. Data analysis involved a qualitative content analysis developed by Philipp Mayring.

resultsThe participants considered internet as the most important and widespread information source, especially for early information. Although patients have difficulty dealing with information obtained online, they consider online searching a quick and practical option to gather information. During the course of the disease, personal contact partners, especially self-help associations and specialized doctors, become more important. This is also because information provided online is sometimes insufficiently detailed to answer their information needs, which can be complemented by information from doctors and self-help.

conclusionsPeople rarely use just one type of source, but rather refer to different sources and informants. The source used depends on the type of information sought as well as other person-related factors such as preexisting knowledge and the disease stage. To improve people's information searching and connect them with medical specialists in rare diseases, a central information portal on rare diseases might be a suitable access point to provide free and quality assured information for patients, caregivers, and physicians. This would allow not only patients but also doctors to find quality assured information on symptoms and therapies as well as patient associations and specialized doctors.

Indexed as

Information Seeking BehaviorAdultCaregiversConsumer Health InformationFemaleHealth Knowledge, Attitudes, PracticeHumansInternetMaleMiddle AgedQualitative ResearchRare DiseasesYoung AdultContent analysisHealth information seekingInformantsInformation sourcesOnline informationQualitative researchRare diseasesSelf-helpWritten information

Identifiers

PMID32503483
PMCPMC7275578
OpenAlexW3033953504

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.