Evidence map›Paper›PMID 30629779›Full record

ArticleJournal of genetic counseling2019

Online decision support for persons having a genetic predisposition to cancer and their partners during reproductive decision-making.

Kelly Reumkens, Marly H E Tummers, Joyce J G Gietel-Habets, Sander M J van Kuijk, Cora M Aalfs, Christi J van Asperen, Margreet G E M Ausems, Margriet Collée, Charlotte J Dommering, C Marleen Kets and 6 more

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

16 authors.

Kelly ReumkensDepartment of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.ORCID 0000-0003-3723-3281
Marly H E TummersDepartment of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Joyce J G Gietel-HabetsDepartment of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Sander M J van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Cora M AalfsDepartment of Clinical Genetics, Academic Medical Centre, Amsterdam, The Netherlands.
Christi J van AsperenDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Margreet G E M AusemsDivision of Biomedical Genetics, Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Margriet ColléeDepartment of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Charlotte J DommeringDepartment of Clinical Genetics, VU University Hospital, Amsterdam, The Netherlands.
C Marleen KetsDepartment of Human Genetics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.
Lizet E van der KolkFamily Cancer Clinic, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jan C OosterwijkDepartment of Genetics, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands.
Vivianne C G Tjan-HeijnenGROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Trudy van der WeijdenDepartment of Family Medicine, Faculty of Health, Medicine and Life Sciences, School CAPHRI, Maastricht University, Maastricht, The Netherlands.
Christine E M de Die-SmuldersDepartment of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Liesbeth A D M van OschDepartment of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A nationwide pretest-posttest study was conducted in all clinical genetic centres in the Netherlands, to evaluate the effects of an online decision aid to support persons who have a genetic predisposition to cancer and their partners in making an informed decision regarding reproductive options. Main outcomes (decisional conflict, knowledge, realistic expectations, level of deliberation, and decision self-efficacy) were measured before use (T0), immediately after use (T1), and at 2 weeks (T2) after use of the decision aid. Paired sample t tests were used to compute differences between the first and subsequent measurements. T0-T1 and T0-T2 comparisons indicate a significant reduction in mean decisional conflict scores with stronger effects for participants with high baseline decisional conflict. Furthermore, use of the decision aid resulted in increased knowledge levels and improved realistic expectations. Level of deliberation only increased for participants with lower baseline levels of deliberation. Decision self-efficacy increased for those with low baseline scores, whereas those with high baseline scores showed a reduction at T2. It can be concluded that use of the decision aid resulted in several positive outcomes indicative of informed decision-making. The decision aid is an appropriate and highly appreciated tool to be used in addition to reproductive counseling.

Indexed as

Decision Support TechniquesGenetic Predisposition to DiseaseOnline SystemsPatient ParticipationReproductionAdultFemaleHumansMaleNeoplasmsNetherlandsSexual Partnerscounselingdecision aidgeneticshereditary cancerinformed decision-makingoncologypatient participationreproductive decision-making

Identifiers

PMID30629779
PMCPMC7380023

What OpenQuestion holds

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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.