Evidence map›Paper›PMID 37515393›Full record

ArticleNursing open2023

Consensus on the items for early identification of unmet psychosocial needs of siblings of children with cancer and blood disease: A modified Delphi method.

Taro Kaneko, Kazuteru Niinomi, Tomo Nonoyama, Akane Makishita, Midori Asano

Abstract readConsensus Statement
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Taro KanekoNursing Science, Department of Integrated Health Sciences, Graduate School of Medicine, Nagoya University, Nagoya, Japan.ORCID 0000-0002-9549-6728
Kazuteru NiinomiNursing Science, Department of Integrated Health Sciences, Graduate School of Medicine, Nagoya University, Nagoya, Japan.ORCID 0000-0002-2195-7536
Tomo NonoyamaNursing Science, Department of Integrated Health Sciences, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Akane MakishitaNursing Science, Department of Integrated Health Sciences, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Midori AsanoNursing Science, Department of Integrated Health Sciences, Graduate School of Medicine, Nagoya University, Nagoya, Japan.ORCID 0000-0003-4643-574X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo reach a consensus on question items for early identification of unmet psychosocial needs of school-aged siblings of children with cancer and blood disease.

designModified Delphi method.

methodsTwenty-three studies were reviewed to extract question items, which were classified into seven categories. A total of 39 question items were selected for this study. The selected question items were carefully considered using the modified Delphi method. The participants were 28 medical staff from a childhood cancer hub hospital and 20 sibling support group staff members. The first round consisted of a questionnaire (n = 48); the second, a focus group interview (n = 8) and the third, another questionnaire (n = 8). The first and third rounds used a 5-point Likert scale. This survey was conducted from July to October 2021.

resultsA total of 38, 26, and 24 question items were included in the first, second, and third rounds respectively. A total of 24 question items were extracted using the modified Delphi method to identify siblings' unmet psychosocial needs: relationship with family members, 3; daily life issues, 4; stress, 6; emotions, 3; information, 3; relationships with medical staff, 1 and social and medical resources, 4. Seven categories and 24 question items were confirmed as items for identifying the unmet psychosocial needs of school-aged siblings of children with cancer and blood disease.

Indexed as

Hematologic DiseasesNeoplasmsChildDelphi TechniqueHumansSiblingsblood diseasecancerpaediatricschool agedsiblingsunmet psychosocial needs

Identifiers

PMID37515393
PMCPMC10495737

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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.