Evidence map›Paper›PMID 36479577›Full record

ArticleAsia-Pacific journal of oncology nursing2022

Development and usability test of a symptom management WeChat Mini Program for parents of children with cancer.

Yanyan Liu, Danyu Li, Haishan Ruan, Yun Hu, Nanping Shen

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Yanyan LiuSchool of Nursing, Shanghai JiaoTong University, Shanghai, China.
Danyu LiSchool of Nursing, Shanghai JiaoTong University, Shanghai, China.
Haishan RuanDepartment of Hematology and Oncology, Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yun HuSchool of Nursing, Shanghai JiaoTong University, Shanghai, China.
Nanping ShenNursing Department, Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Symptom management is a persistent challenge in pediatric oncology. The WeChat Mini Program, a small smartphone application that functions within WeChat, has the potential to assist in symptom management. This study aimed to develop a symptom management WeChat Mini Program for parents and children with cancer aged 5-17 years old and evaluate its usability. Methods: Based on the semi-structured interviews with parents of children with cancer, experts in pediatric oncology and informatics and a survey of children's symptom experience, multidisciplinary research group meetings were conducted to confirm the structure and main contents of the Mini Program. The iterative method was used to develop the Mini Program. A mixed-method study was conducted to test its usability with 10 pairs of parents and children with cancer. The quantitative data were collected through the Poststudy System Usability Questionnaire, and qualitative data were collected from interviews. Results: The Mini Program "Child SMILE" was developed, which includes a symptom assessment and management module, an information and emotional support module, a communication module among the parents and medical professionals, and a personal information module. Most users reported that the Mini Program is user-friendly, with satisfaction scores on the Poststudy System Usability Questionnaire ranging from 5.2 to 5.7 (out of 7.0) in four dimensions. In qualitative interviews, most participants thought the Mini Program was convenient, easy to use, and helpful. Conclusions: It can be concluded that the Mini Program satisfies the needs of parents of children with cancer and has the potential to benefit the symptom management of children with cancer.

Indexed as

OncologyParentsPediatricsSymptom managementUsability test

Identifiers

PMID36479577
PMCPMC9720356

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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.