Evidence map›Paper›PMID 40561502›Full record

ArticleJMIR mHealth and uHealth2025

Impact of mHealth on Postoperative Quality of Life, Self-Management, and Dysfunction in Patients With Oral and Maxillofacial Tumors: Nonrandomized Controlled Trial.

Yufei Li, Yueping Wang, Yifan Wu, Hong Yu, Hua Yao, Yuqun Wang, Yulan Yin, Lan Wang, Lili Hou

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Multidimensional analysis of postoperative nursing challenges in oral cancer surgery: a retrospective study of 245 patients and proposal of the PROTECT mode.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. 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

9 authors.

Yufei Li *School of Nursing, Shanghai JiaoTong University, Shanghai, China.ORCID 0009-0000-7305-6054
Yueping Wang *Department of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Bldg 8, 2nd Fl, 639 Manufacturing Bureau Road, Huangpu district, Shanghai, China, 86 13816033620.ORCID 0009-0000-8902-5789
Yifan WuDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Bldg 8, 2nd Fl, 639 Manufacturing Bureau Road, Huangpu district, Shanghai, China, 86 13816033620.ORCID 0000-0003-0393-950X
Hong YuDepartment of Nursing, Anhui Stomatological Hospital, Anhui Medical University, Hefei, China.ORCID 0009-0006-4572-9059
Hua YaoDepartment of Oral & Maxillofacial Head & Neck Oncology, Shanghai Ninth People's Hospital, Huangpu Branch, Shanghai Ninth People's Hospital, Shanghai, China.ORCID 0009-0008-3288-6025
Yuqun WangDepartment of Nursing, Nanjing Stomatological Hospital, Nanjing Medical University, Nanjing, China.ORCID 0000-0003-1061-8245
Yulan YinDepartment of Oral & Maxillofacial Head & Neck Oncology, Shanghai Ninth People's Hospital, Fengcheng Branch, Shanghai Ninth People's Hospital, Shanghai, China.ORCID 0009-0005-4112-002X
Lan WangDepartment of Head and Neck Oncology, Zhejiang Cancer Hospital, Hangzhou, China.ORCID 0009-0009-2929-7550
Lili HouDepartment of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Bldg 8, 2nd Fl, 639 Manufacturing Bureau Road, Huangpu district, Shanghai, China, 86 13816033620.ORCID 0000-0001-6489-1744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With a focus on postoperative dysfunctions that may occur after maxillofacial tumor resection and the difficulties faced during home rehabilitation, we developed a mobile health app based on nurse-patient cooperation. The app extends rehabilitation care from hospital to home with the help of artificial intelligence, Internet of Things, and other technologies, thus helping patients to better carry out their home functional rehabilitation and meet their health needs. Objective: The primary objective of this quasi-experimental study is to evaluate the impact of the Intelligent Home Rehabilitation Care Platform on the quality of life, self-management, and functional impairment in patients with oral and maxillofacial head and neck tumors. We aim to determine whether the intervention through this platform can lead to significant improvements in these areas compared with traditional postdischarge care methods. Methods: In this study, patients with oral and maxillofacial head and neck tumors who had undergone surgery were recruited from allied hospitals in the Yangtze River Delta region, divided into an experimental group (n=138) and a control group (n=123), and received either the Intelligent Home Rehabilitation Care Platform intervention or the conventional health care and guidance, respectively. The intervention lasted 3 months, and the patients' quality of life, self-management efficacy, and improvement in dysfunction were assessed at 1 week (baseline), 1 month (T1), and 3 months (T2) postoperatively. SPSS software (IBM Corp) was used to perform the chi-square test, rank sum test, t test, repeated-measures ANOVA, and generalized estimation equation for data analysis. Results: We analyzed the effects of the quality of life and self-management using the generalized estimating equation method. The generalized estimating equation results showed that after adjusting for age, sex, pathological histology, cancer stage, and primary site, the intervention group had a significantly higher improvement in quality of life than the control group at the T2 (regression coefficient, β=-68.020, 95 % CI -116.639 to -19.412; P=.006) stage. The degree of improvement in self-management efficacy was significantly higher in the T1 (regression coefficient, β =-7.030, 95 % CI -9.540 to -4.520; P<.001) and T2 (regression coefficient, β =-13.245, 95 % CI -16.923 to -9.566; P<.001) stages than in the control group. The results of repeated-measures ANOVA and rank sum test showed that the experimental group showed improvements in shoulder function, dysphagia, and trismus after mHealth intervention; however, the differences were not significant. Conclusions: The Intelligent Home Rehabilitation Care Platform interventions can effectively enhance patients' self-management efficacy, improving quality of life and facilitate recovery from dysfunctions. Therefore, mHealth may be used in oncology care to provide smarter home self-care for patients.

Indexed as

Mouth NeoplasmsQuality of LifeSelf-ManagementAdultAgedChinaFemaleHumansMaleMiddle AgedMobile ApplicationsSurveys and QuestionnairesTelemedicineartifical intelligencefunctional rehabilitationhead and neck cancermaxillofacial tumormHealthpostoperative dysfunctionquality of lifeself-management efficiency

Identifiers

PMID40561502
PMCPMC12242703

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.