Temporal distribution characteristics of crisis calls to Shanghai mental health hotline from 2021 to 2023

ObjectiveTo analyze the temporal distribution characteristics of crisis calls and eight major counseling issues to the Shanghai mental health hotline, and to provide recommendations for improving hotline management.MethodsDescriptive statistics were used to analyze 1 106 crisis calls and the calls of eight major counseling issues to the Shanghai mental health hotline across months, time periods and weeks from October 2021 to September 2023, and the chi-square test was used to analyze whether there was any difference in the distribution of 1 106 crisis calls and the calls of eight major counseling issues across months, time periods and weeks.ResultsThere were significant differences in the number of crises calls across different months (χ2=87.816, P<0.05), time periods (χ2=161.848, P<0.05), and weekly distributions (χ2=63.329, P<0.05). The highest number of calls occurred in September, while January had the lowest. The peak call times were between 18:00‒20:00, with the fewest calls occurring between 3:00‒5:00. The day of the week with the highest number of calls was Saturday, while Wednesday had the lowest. Among the different types of counselling issues in crisis calls, the highest number of calls were related to mental disorders, while the fewest calls were related to COVID-19.ConclusionCrisis calls to the Shanghai mental health hotline are concentrated at specific times, indicating that relevant organizations should optimize resource allocation based on this time distribution.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.19428/j.cnki.sjpm.2024.23958
Primary Topic
Psychiatric care and mental health services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal distribution characteristics of crisis calls to Shanghai mental health hotline from 2021 to 2023

SHILAP Revista de lepidopterología
Psychiatric care and mental health services
article

Temporal distribution characteristics of crisis calls to Shanghai mental health hotline from 2021 to 2023

article en

Abstract

ObjectiveTo analyze the temporal distribution characteristics of crisis calls and eight major counseling issues to the Shanghai mental health hotline, and to provide recommendations for improving hotline management.MethodsDescriptive statistics were used to analyze 1 106 crisis calls and the calls of eight major counseling issues to the Shanghai mental health hotline across months, time periods and weeks from October 2021 to September 2023, and the chi-square test was used to analyze whether there was any difference in the distribution of 1 106 crisis calls and the calls of eight major counseling issues across months, time periods and weeks.ResultsThere were significant differences in the number of crises calls across different months (χ2=87.816, P<0.05), time periods (χ2=161.848, P<0.05), and weekly distributions (χ2=63.329, P<0.05). The highest number of calls occurred in September, while January had the lowest. The peak call times were between 18:00‒20:00, with the fewest calls occurring between 3:00‒5:00. The day of the week with the highest number of calls was Saturday, while Wednesday had the lowest. Among the different types of counselling issues in crisis calls, the highest number of calls were related to mental disorders, while the fewest calls were related to COVID-19.ConclusionCrisis calls to the Shanghai mental health hotline are concentrated at specific times, indicating that relevant organizations should optimize resource allocation based on this time distribution.

SHILAP Revista de lepidopterología
Shanghai Mental Health Center (CN), Shanghai Hospital Development Center (CN)
Openalex Percentile: Top 45%
Psychiatric care and mental health services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.