Evidence map›Paper›PMID 38816879›Full record

SynthesisSystematic reviews2024

The effectiveness of e-mental health interventions on stress, anxiety, and depression among healthcare professionals: a systematic review and meta-analysis.

Zemiao Zhang, Yinhuan Hu, Sha Liu, Xiandong Feng, Jinhong Yang, Ling Jie Cheng, Sheena Ramazanu, Xi Vivien Wu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

8 authors.

Zemiao ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yinhuan HuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. hyh288@hotmail.com.
Sha LiuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiandong FengSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinhong YangXiangya School of Nursing, Central South University, Changsha, China.
Ling Jie ChengSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Sheena RamazanuSchool of Nursing and Health Studies, The Jockey Club Institute of Healthcare (IOH), Hong Kong Metropolitan University, Hong Kong, China.
Xi Vivien WuAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

National Natural Science Foundation of China 72274068
6 · The paper itself

Abstract

backgroundMany healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This review aimed to examine the effectiveness of e-mental health interventions in enhancing the well-being of healthcare professionals and to identify moderating factors.

methodsA comprehensive and systematic retrieval of randomized controlled trial (RCT) studies was conducted across eight databases. Population, intervention, comparison, and outcome (PICO) were used to define eligibility criteria. Stress, anxiety, and depression were included as the main outcomes. The overall effect was calculated based on the random effect model, and the effect size was presented using the standardized mean difference. The characteristics of the research design, intervention object, and intervention design were further selected as potential moderating factors for subgroup analysis. Meta-regression analyses were finally performed, incorporating intervention duration and sample size as independent variables.

resultsA total of 20 studies were included in the systematic review, and 17 were included in the meta-analysis. A large effect on relieving stress and anxiety and a small-to-medium effect on reducing depression were observed. Subgroup analyses showed that features including mindfulness approaches, online courses, computer use, group interventions, and professional guidance were more favorable in the design of services. Meta-regression revealed that intervention duration only affected anxiety symptoms. Caution should be exercised, as some subgroups had fewer studies and higher heterogeneity. For the secondary outcomes, a large effect on emotional exhaustion and a small-to-medium effect on well-being were observed.

conclusionIn general, e-mental health interventions significantly improve the psychological health of healthcare staff. Future high-quality, large-scale studies targeting healthcare professionals and specific intervention scenarios are warranted.

Indexed as

AnxietyDepressionHealth PersonnelStress, PsychologicalHumansMental HealthMindfulnessRandomized Controlled Trials as TopicTelemedicineAnxietyDepressionE-mental healthHealthcare professionalsStress

Identifiers

PMID38816879
PMCPMC11138032

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Registered trials

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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.