Evidence map›Paper›PMID 38512538›Full record

SynthesisSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

The effectiveness of digital psychosocial interventions on psychological distress, depression, anxiety, and health-related quality of life in patients with gynaecological cancer: a systematic review and meta-analysis.

Kai Yoong Yen, Jing Ying Cheng, Jin-Qiu Li, Zheng An Toh, Hong-Gu He

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
2.8field-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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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

5 authors at 1 institution in 2 countries.

Kai Yoong YenKhoo Teck Puat Hospital, Yishun Health, National Healthcare Group, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9772-2330
Jing Ying ChengKhoo Teck Puat Hospital, Yishun Health, National Healthcare Group, Singapore, Singapore.ORCID http://orcid.org/0000-0003-2598-9989
Jin-Qiu LiAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Bock MD11, 10 Medical Drive, Singapore, 117597, Singapore.ORCID http://orcid.org/0009-0008-2965-0652
Zheng An TohAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Bock MD11, 10 Medical Drive, Singapore, 117597, Singapore.ORCID http://orcid.org/0000-0001-5835-0052
Hong-Gu HeAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Bock MD11, 10 Medical Drive, Singapore, 117597, Singapore. nurhhg@nus.edu.sg.ORCID http://orcid.org/0000-0001-8545-1123
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients with gynaecological cancer often experience psychological issues due to multiple stressors. Psychological disturbances have debilitating effects on patients with gynaecological cancer. In recent decades, digital psychosocial interventions have rapidly advanced and been incorporated into mental health interventions. Digital psychosocial interventions could provide patients with several benefits over traditional in-person interventions, including convenience, anonymity, flexible scheduling, and geographic mobility. The aim of this systematic review was to synthesize the effectiveness of digital psychosocial intervention in reducing psychological distress, depression, and anxiety and improving health-related quality of life in patients with gynaecological cancer.

methodsThree-step extensive search was performed on 22 December 2022 from nine bibliographic databases, trial registries and grey literature. Experimental studies involving patients with gynaecological cancer utilizing digital psychosocial interventions for the improvement of mental health outcomes were included. Meta-analysis was conducted using RevMan 5.4 software. Heterogeneity was analysed by Cochran's Q test and I

resultsMeta-analysis of nine studies revealed small effect size in reduction of depression post-intervention (d = 0.24, 95% CI - 0.46 to - 0.02) and medium effect size in reduction of psychological distress post-intervention (d = 0.51, 95% CI - 0.81 to - 0.21) and follow-up (d = 0.65, 95% CI - 1.25 to - 0.05) compared to the control group. The effects of digital psychosocial interventions on anxiety and health-related quality of life were not statistically significant.

conclusionsDigital psychosocial interventions probably reduced psychological distress and slightly reduced depression amongst patients with gynaecological cancer compared to the control group, which can be integrated into clinical practice. Additional trials with rigorous methodology and bigger sample sizes are needed to validate findings.

trial registrationPROSPERO (CRD42023389502).

Indexed as

AnxietyDepressionGenital Neoplasms, FemalePsychological DistressPsychosocial InterventionQuality of LifeFemaleHumansStress, PsychologicalAnxietyDepressionDigitalDistressGynaecological cancerMeta-analysisPsychosocial interventionQuality of lifeSystematic review

Identifiers

PMID38512538
OpenAlexW4393037473

What OpenQuestion holds

Textmetadata
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.