Evidence map›Paper›PMID 33792555›Full record

Trial reportJMIR mHealth and uHealth2021

Effects of App-Based Transitional Care on the Self-Efficacy and Quality of Life of Patients With Spinal Cord Injury in China: Randomized Controlled Trial.

Ting Liu, Sumei Xie, Yingmin Wang, Jie Tang, Xiaokuo He, Tiebin Yan, Kun Li

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.2field-weighted citation impact, top 8% 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.

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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Ting Liu *Department of Rehabilitation Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-8466-8635
Sumei Xie *Department of Spinal Cord Injury Rehabilitation, Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China.ORCID 0000-0003-4095-9884
Yingmin WangDepartment of Rehabilitation Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-2727-0134
Jie TangDepartment of Spinal Cord Injury Rehabilitation, Sichuan Provincial Rehabilitation Hospital, Chengdu, China.ORCID 0000-0003-3830-3093
Xiaokuo HeDepartment of Rehabilitation Medicine, The Fifth Hospital of Xiamen, Xiamen, China.ORCID 0000-0002-2533-0124
Tiebin YanDepartment of Rehabilitation Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-0489-5142
Kun LiSchool of Nursing, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-0092-7178
Sun Yat-sen University · CNFifth Hospital of Shijiazhuang · CNGuangdong Work Injury Rehabilitation Hospital · CNSichuan Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) severely impairs the physical and mental health of patients, decreasing their self-efficacy in coping with daily life and quality of life (QOL). In China, a large gap remains between the complex long-term health needs of SCI patients and the current community care system. With the prevalence of mobile terminals, the usage of mobile health apps has the potential to fill this gap by extending qualified medical resources to the families of SCI patients. Our team developed the app Together for the transitional care of home-dwelling SCI patients in China.

objectiveThis study aimed to evaluate the effects of app-based transitional care on the self-efficacy and QOL of SCI patients.

methodsThrough a three-round Delphi process, an Android app was designed. Both medical staff and patients could access the app. Medical staff used it for providing remote transitional care to SCI patients. Patients used it to view transitional care time and send messages to medical staff. Thereafter, a multicenter and assessor-blinded randomized controlled trial was conducted. Participants (n=98) who had SCI and lived at home following discharge were recruited and randomly assigned to a study group (n=49) and control group (n=49) using a randomized number list in four research centers. Patients in both groups received systematic discharge education before discharge. The study group received five follow-ups conducted by trained nurses through the app, which had four core functions, namely remote assessment, health education, interdisciplinary referral, and patient interaction, at weeks 2, 4, 6, 8, and 12 following discharge. The control group received a routine telephone follow-up conducted by nurses at week 12 following discharge. The outcome measures were the Moorong Self-Efficacy Scale (MSES) and 36-item Short-Form Health Survey (SF-36) scores. Data were collected before discharge (T

resultsAfter the follow-up, the total MSES scores in the study group improved over time (T

conclusionsThis study confirmed that app-based transitional care improves the self-efficacy of SCI patients. Nevertheless, QOL improvement is not yet evident. Future investigations with larger sample sizes and longer observation periods are warranted to further verify the effects.

trial registrationChinese Clinical Trial Registry ChiCTR-IPR-17012317; http://www.chictr.org.cn/showproj.aspx?proj=19828.

Indexed as

Mobile ApplicationsSpinal Cord InjuriesTransitional CareChinaHumansQuality of LifeSelf Efficacymobile appquality of lifeself-efficacyspinal cord injurytransitional care

Identifiers

PMID33792555
PMCPMC8050746
OpenAlexW3134039428

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.