Evidence map›Paper›PMID 36590637›Full record

ArticleFrontiers in psychiatry2022

Evaluation of the effectiveness and cost-effectiveness of psychological first aid (PFA) system based training for frontline health workers in emergency health services in China a study protocol of a cluster randomized controlled trial.

Min Peng, Tao Xiao, Ben Carter, Pan Chen, James Shearer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 3 institutions in 2 countries.

Min PengKing's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Tao XiaoPsychological Rescue Branch of China Association for Disaster and Emergency Rescue Medicine, Changsha, China.
Ben CarterKing's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Pan ChenHunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
James ShearerKing's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
King's College London · GBCentral South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is insufficient evidence on the effectiveness and cost-effectiveness of psychological interventions to enhance frontline responders' mental health proficiency and competence in emergency settings. This paper describes the methods for the evaluation of the effectiveness and cost-effectiveness of Psychological First Aid training, to determine whether the intervention is effective and cost-effective as a mental health intervention in public health emergencies. A pilot to evaluate the acceptability of the PFA training found participants were either satisfied (55.6%) or extremely satisfied (44.4%) with the training program. Method: This paper describes the protocol for a cluster randomized two-arm controlled trial. A total of 1,399 non-specialist health care workers will be recruited in 42 hospitals and health care centers across six provinces in China. Participants will be assigned according to hospital or health care center site to one of two groups ( Analysis: For effectiveness outcomes, repeated measures will be used in a multi-level linear mixed model. The pooled standard deviations will be used to calculate the effect sizes (Cohen's d) within and between groups. Appropriate statistical tests will be used to explore differences between intervention and control groups. For economic outcomes, a health service sector perspective will be adopted, with intervention costs and outcomes collected prospectively. Within-trial cost-effectiveness analysis (CEA) will quantify the incremental costs and PFA proficiency gains of the intervention compared with training as usual at 2 months post training. CEA will present results as cost per unit of mental health proficiency gained. A cost-utility analysis (CUA) model will extend the population to emergency health service users.in order to identify potential for incremental cost offsets attributable to mental health improvement arising from intervention. Intervention costs and effects will be extrapolated to the population of patients who receive the emergency health service in clinical wards and will be modeled over the cohort's lifetime. Modeled CUA results will be calculated as quality-adjusted life-years saved and healthcare cost savings in preventing mental disorders. Ethics and dissemination: Ethics approval was obtained from the Second Xiangya Hospital, Central South University Clinical Research Ethics Committee (2021) Ethical Review [Clinical Research] #067). Data about the economic evaluation of the intervention will be stored in the KCL OneDrive at King's College London, UK. The trial protocol was registered with the China Clinical Trials Registry: ChiCTR2200060464. Study findings will be disseminated through peer-reviewed academic papers, and participating hospitals.

Indexed as

effectiveness evaluationemergency health servicesfrontline health workerspsychological first aid trainingstudy protocoltrial cost-effectiveness analysis

Identifiers

PMID36590637
PMCPMC9800601
OpenAlexW4313272850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.