Evidence map›Paper›PMID 34631432›Full record

ArticleInternet interventions2021

Internet-based cognitive behavioral therapy for psychological distress in older adults without cognitive impairment living in nursing homes during the COVID-19 pandemic: A feasibility study.

Yuchen Ying, Yunxin Ji, Fanqian Kong, Qiqi Chen, Yueer Lv, Yanbin Hou, Lijie Zhu, Pingping Miao, Libo Yu, Laiyou Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Article
  8. COVID 19 pandemic challenges and their management: A review of medicines, vaccines, patents and clinical trials with emphasis on psychological health issues.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Review
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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

18 authors at 6 institutions in 1 country.

Yuchen YingDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Yunxin JiDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Fanqian KongDepartment of Medical Record and Statistics, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, PR China.
Qiqi ChenDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Yueer LvDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Yanbin HouDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Lijie ZhuDepartment of Statistics and Programming, Jiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, PR China.
Pingping MiaoDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Libo YuDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Laiyou LiDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Wei KuangDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Lingli JiangDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Xiaozhuo ZhuDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Xiaozhuang LiuDepartment of Elderly Health Care and Management, School of Health Services and Management, Ningbo College of Health Sciences, Ningbo, Zhejiang, PR China.
Le XuSchool of Medicine, Ningbo University, Ningbo, Zhejiang, PR China.
Yuwei MiSchool of Medicine, Ningbo University, Ningbo, Zhejiang, PR China.
Zhongze LouDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Liemin RuanDepartment of Psychosomatic Medicine, Ningbo First Hospital, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, PR China.
Ningbo College of Health Sciences · CNNingbo First Hospital · CNZhejiang University · CNNingbo University · CNJiangsu Hengrui Medicine (China) · CNNingbo Medical Center Lihuili Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had a detrimental effect on the mental health of older adults living in nursing homes. Very few studies have examined the effects of Internet-based Cognitive Behavioral Therapy (ICBT) on older adults living in nursing homes during the pandemic. We conducted a feasibility study using a single-group design, to explore the effectiveness of ICBT on psychological distress in 137 older adults (without cognitive impairment) from 8 nursing homes in 4 southeast cities in China, between January and March 2020.

methodsSymptoms of depression, anxiety, general psychological distress, and functional disability were measured at baseline, post-treatment (5 weeks) and at a 1-month follow-up. Mixed-effects model was used to assess the effects of ICBT.

resultsStatistically significant changes with large effect sizes were observed from pre- to post-treatment on the PHQ-9 (

conclusionICBT was effective in reducing psychological distress in older adults without cognitive impairments living in nursing homes during the COVID-19 pandemic. Thus, it could be applied in improving the mental health of this vulnerable group during the pandemic.

Indexed as

CBT, cognitive behavioral therapyCIs, confidence intervalsCOVID-19DSM-IV, The Diagnostic and Statistical Manual of Mental Disorders-4th editionFeasibility studyGAD-7, Generalized Anxiety Disorder 7-itemGDS, Geriatric Depression ScaleICBT, Internet-based cognitive behavioral therapyInternet-based cognitive behavioral therapyITT, intention-to-treatK-10, 10-item Kessler Psychological Distress ScaleLOCF, last observation carried forwardMental healthMMRM, mixed-effects model for repeated measureOlder adultsPHQ-9, Patient Health Questionnaire 9-itemPsychological distressRCT, randomized controlled trialsREML, restricted maximum likelihoodSDS, Sheehan Disability ScalesSD, standard deviationUN, unstructured

Identifiers

PMID34631432
PMCPMC8487764
OpenAlexW3204414628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.