Evidence map›Paper›PMID 34695363›Full record

ArticleAustralasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists2022

Audit of acute psychiatric presentations during New Zealand's first COVID-19 national lockdown.

Lillian Ng, Nishanth Narayanan, Danielle Diamond, Niru Pitigala

Abstract read
In one paragraph

Article in Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Auditing the Audits: A Systematic Review on Different Procedures in Telemedicine.International journal of environmental research and public health · 2023
    Pooled it
  2. Article
  3. Article
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

4 authors.

Lillian NgCounties Manukau Health, Auckland, New Zealand.ORCID 0000-0002-7189-1272
Nishanth NarayananCounties Manukau Health, Auckland, New Zealand.
Danielle DiamondCounties Manukau Health, Auckland, New Zealand.
Niru PitigalaCounties Manukau Health, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, we aimed to identify service user demographic and clinical characteristics of an acute mental health service in South Auckland during the first New Zealand coronavirus-related lockdown.

methodWe conducted a clinical audit of a sample of service users presenting to a district health board's acute adult mental health service during New Zealand's level-4 lockdown in 2020 and made comparisons to a sample from 2019. We identified demographic factors, living situation, mode of referral, mode of assessment, diagnosis, substance use, risks, stressors, use of mental health act legislation and follow-up.

resultsDuring the first level-4 lockdown fewer Ma¯ori were assessed, police referrals increased, specific stressors related to confinement were identified and there was an increase in risks relating to self-harm and harm to others.

conclusionService users had unique stressors and changing patterns of presentation during the level-4 New Zealand lockdown. In response to the changing needs of service users during a pandemic, we recommend optimising telehealth, enhancing connections with other essential services, development of digital interventions and care for frontline staff.

Indexed as

COVID-19AdultCommunicable Disease ControlHumansNew ZealandPandemicsSARS-CoV-2auditcoronavirusCOVID-19mental health servicesservice user

Identifiers

PMID34695363
PMCPMC8990568

What OpenQuestion holds

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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.