Evidence map›Paper›PMID 38410790›Full record

ArticleDigital health

Feasibility of a mobile health app-based self-management program for Chinese patients with breast cancer receiving chemotherapy: A randomized controlled pilot study.

Nuo Shi, Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Nan Zhang, Weiyi Zhu, Kunwei Shen, Xiaobin Lai, Yufei Jin, Chengjia Gu, Lijing Nie and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05192525 (The Effects of a Nurse-led MHealth Program for Symptom Self-management of Breast Cancer Patients Undergoing Chemotherapy in Shanghai), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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.

NCT05192525 nacompletednot on this map

The Effects of a Nurse-led MHealth Program for Symptom Self-management of Breast Cancer Patients Undergoing Chemotherapy in Shanghai: a Randomized Controlled Pilot Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2022 to 2023Enrolled76ConditionsBreast Cancer, Chemotherapeutic ToxicityArmsmChemotherapy
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
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

11 authors at 3 institutions in 2 countries.

Nuo ShiSchool of Nursing, Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-1221-7595
Arkers Kwan Ching WongSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0001-6708-3099
Frances Kam Yuet WongSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, China.
Nan ZhangRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiyi ZhuRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-9964-7239
Kunwei ShenRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaobin LaiSchool of Nursing, Fudan University, Shanghai, China.
Yufei JinRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chengjia GuRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lijing NieRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaojing DongRuijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNHong Kong Polytechnic University · HKFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There are currently an increasing number of mobile health (mHealth) programs offered to patients with breast cancer undergoing chemotherapy, but their rate of adherence to app usage has remained low. This study aimed to examine the feasibility of an mHealth app-based program such as the adherence rate of app usage and determine the preliminary effects on self-efficacy, quality of life, symptom burden and healthcare utilization in these patients. Methods: We conducted a randomized controlled pilot trial. Ninety-six participants were randomly allocated into either an intervention group or a control group (routine care plus a placebo app). The intervention group engaged in a 6-week self-regulation activity and received nurse-led social support via the app. The intention-to-treat principle was adopted. The generalized estimating equation was utilized to analyze the between-group, within-group and interaction effectiveness of this program. Results: Totally 96 participants were enrolled from 16 May to 23 August 2022. The average rate of adherence to app usage increased from 4.8% at week 3 to 51.2% at week 6. There was a statistically significant reduction in the physiological efficacy scores of the intervention (p < .001) and control groups (p < .001) at week 6, compared with the baseline. At week 6, the intervention group reported a significantly lower symptom burden (p = .042) and significantly better physical well-being than the control group (p = .024). Conclusions: It is feasible to perform an mHealth app-based self-management program for patients with breast cancer receiving chemotherapy. Nurses can utilize this program to facilitate patient self-management of symptoms during chemotherapy. Registration: Clinicaltrials.gov, https://clinicaltrials.gov, (NCT05192525).

Indexed as

adherenceBreast neoplasmschemotherapymobile healthquality of lifeself-efficacyself-managementsymptom burden

Identifiers

PMID38410790
PMCPMC10896051
OpenAlexW4392171678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.