Evidence map›Paper›PMID 33324258›Full record

ArticleFrontiers in psychiatry2020

The Medium-Term Impact of COVID-19 Lockdown on Referrals to Secondary Care Mental Health Services: A Controlled Interrupted Time Series Study.

Shanquan Chen, Rui She, Pei Qin, Anne Kershenbaum, Emilio Fernandez-Egea, Jenny R Nelder, Chuoxin Ma, Jonathan Lewis, Chaoqun Wang, Rudolf N Cardinal

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Utilization of mental health services during the first year of the COVID-19 pandemic - a systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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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

10 authors.

Shanquan ChenDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Rui SheThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Pei QinDepartment of Biostatistics and Epidemiology, Shenzhen University Health Science Center, Shenzhen, China.
Anne KershenbaumDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Emilio Fernandez-EgeaDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Jenny R NelderDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Chuoxin MaDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Jonathan LewisCambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom.
Chaoqun WangCollege of Public Administration, Central China Normal University, Wuhan, China.
Rudolf N CardinalDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, there is a paucity of information regarding the effect of COVID-19 or lockdown on mental disorders. We aimed to quantify the medium-term impact of lockdown on referrals to secondary care mental health clinical services. We conducted a controlled interrupted time series study using data from Cambridgeshire and Peterborough NHS Foundation Trust (CPFT), UK (catchment population ~0.86 million). The UK lockdown resulted in an instantaneous drop in mental health referrals but then a longer-term acceleration in the referral rate (by 1.21 referrals per day per day, 95% confidence interval [CI] 0.41-2.02). This acceleration was primarily for urgent or emergency referrals (acceleration 0.96, CI 0.39-1.54), including referrals to liaison psychiatry (0.68, CI 0.35-1.02) and mental health crisis teams (0.61, CI 0.20-1.02). The acceleration was significant for females (0.56, CI 0.04-1.08), males (0.64, CI 0.05-1.22), working-age adults (0.93, CI 0.42-1.43), people of White ethnicity (0.98, CI 0.32-1.65), those living alone (1.26, CI 0.52-2.00), and those who had pre-existing depression (0.78, CI 0.19-1.38), severe mental illness (0.67, CI 0.19-1.15), hypertension/cardiovascular/cerebrovascular disease (0.56, CI 0.24-0.89), personality disorders (0.32, CI 0.12-0.51), asthma/chronic obstructive pulmonary disease (0.28, CI 0.08-0.49), dyslipidemia (0.26, CI 0.04-0.47), anxiety (0.21, CI 0.08-0.34), substance misuse (0.21, CI 0.08-0.34), or reactions to severe stress (0.17, CI 0.01-0.32). No significant post-lockdown acceleration was observed for children/adolescents, older adults, people of ethnic minorities, married/cohabiting people, and those who had previous/pre-existing dementia, diabetes, cancer, eating disorder, a history of self-harm, or intellectual disability. This evidence may help service planning and policy-making, including preparation for any future lockdown in response to outbreaks.

Indexed as

comorbiditycontrolled interrupted time series analysisCOVID-19/SARS-CoV-2 coronavirus pandemiclockdownsecondary care mental health services

Identifiers

PMID33324258
PMCPMC7726266

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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.