Evidence map›Paper›PMID 33118956›Full record

Trial reportJMIR mHealth and uHealth2020

Relationship Between Patient Engagement and Depressive Symptoms Among People Living With HIV in a Mobile Health Intervention: Secondary Analysis of a Randomized Controlled Trial.

Yu Zeng, Yan Guo, Linghua Li, Y Alicia Hong, Yiran Li, Mengting Zhu, Chengbo Zeng, Hanxi Zhang, Weiping Cai, Cong Liu and 5 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05003518 (ParentText User Engagement and Effectiveness Study), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 9% 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.

NCT05003518 naterminatednot on this mapstarted 2022, after this paper: background citation

ParentText User Engagement and Effectiveness Study

TypeinterventionalSponsorUniversity of OxfordRan2022 to 2022Enrolled1,400ConditionsEngagement, Positive Parenting, Child Maltreatment, Intimate Partner ViolenceArmsParentText
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  16. Leveraging mHealth for the Treatment and Management of PLHIV.Risk management and healthcare policy · 2023
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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

15 authors at 7 institutions in 4 countries.

Yu Zeng *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2604-9502
Yan Guo *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8754-1090
Linghua Li *Department of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0001-5711-8681
Y Alicia HongDepartment of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, United States.ORCID 0000-0002-1481-6495
Yiran LiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-4704-8728
Mengting ZhuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7247-7620
Chengbo ZengSouth Carolina SmartState Center of Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-3512-1115
Hanxi ZhangNational Center of AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2193-9581
Weiping CaiDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0002-1287-0623
Cong LiuDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangzhou, China.ORCID 0000-0001-7147-8923
Shaomin WuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7954-6502
Peilian ChiDepartment of Psychology, Faculty of Social Sciences, University of Macau, Macau, China.ORCID 0000-0002-1839-1113
Aliza Monroe-WiseDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8843-3462
Yuantao HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-8024-5312
Rainbow Tin Hung HoDepartment of Social Work & Social Administration, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6173-621X
Sun Yat-sen University · CNGuangzhou Eighth People's Hospital · CNGeorge Mason University · USUniversity of Hong Kong · HKUniversity of Macau · MOUniversity of South Carolina · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssociations between higher levels of patient engagement and better health outcomes have been found in face-to-face interventions; studies on such associations with mobile health (mHealth) interventions have been limited and the results are inconclusive.

objectiveThe objective of this study is to investigate the relationship between patient engagement in an mHealth intervention and depressive symptoms using repeated measures of both patient engagement and patient outcomes at 4 time points.

methodsData were drawn from a randomized controlled trial (RCT) of an mHealth intervention aimed at reducing depressive symptoms among people living with HIV and elevated depressive symptoms. We examined the association between patient engagement and depressive symptoms in the intervention group (n=150) where participants received an adapted cognitive-behavioral stress management (CBSM) course and physical activity promotion on their WeChat social media app. Depressive symptoms were repeatedly measured using the Patient Health Questionnaire (PHQ-9) at baseline and 1 month, 2 months, and 3 months. Patient engagement was correspondingly measured by the completion rate, frequency of items completed, and time spent on the program at 1 month, 2 months, and 3 months. Latent growth curve models (LGCMs) were used to explore the relationship between patient engagement and depressive symptoms at multiple time points in the intervention.

resultsThe mean PHQ-9 scores were 10.2 (SD 4.5), 7.7 (SD 4.8), 6.5 (SD 4.7), and 6.7 (SD 4.1) at baseline, 1 month, 2 months, and 3 months, respectively. The mean completion rates were 50.6% (SD 31.8%), 51.5% (SD 32.2%), and 50.8% (SD 33.7%) at 1, 2, and 3 months, respectively; the average frequencies of items completed were 18.0 (SD 14.6), 32.6 (SD 24.8), and 47.5 (SD 37.2) at 1, 2, and 3 months, respectively, and the mean times spent on the program were 32.7 (SD 66.7), 65.4 (SD 120.8), and 96.4 (SD 180.4) minutes at 1, 2, and 3 months, respectively. LGCMs showed good model fit and indicated that a higher completion rate (β at 3 months=-2.184, P=.048) and a greater frequency of items completed (β at 3 months=-0.018, P=.04) were associated with fewer depressive symptoms at 3 months. Although not significant, similar trends were found in the abovementioned relationships at 1 and 2 months. There was no significant relationship between time spent on the program and depressive symptoms.

conclusionsThis study revealed a positive association between patient engagement and health outcomes at 3 months of an mHealth intervention using LGCMs and repeated measures data. The results underscore the importance of improving patient engagement in mHealth interventions to improve patient-centered health outcomes.

trial registrationChinese Clinical Trial Registry ChiCTR-IPR-17012606; https://tinyurl.com/yxb64mef. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-018-5693-1.

Indexed as

HIV InfectionsTelemedicineDepressionExerciseHumansPatient Participationdepressive symptomsHIVlatent growth curve modelmHealthpatient engagement

Identifiers

PMID33118956
PMCPMC7661233
OpenAlexW3088200138

What OpenQuestion holds

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LicenceCC BY
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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.