Evidence map›Paper›PMID 40563107›Full record

ArticleIsrael journal of health policy research2025

Providing emergency mental health support to Israeli civilians evacuated from their homes following the events of October 7th, 2023.

Amit Yaniv-Rosenfeld, Ori Ganor, Ariel Gaon, Rinat R Yedidya, Lior Azimi, Melanie Shmulevich, Shlomo Mendlvoic, Ido Lurie

Abstract read
In one paragraph

Article in Israel journal of health policy research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Amit Yaniv-RosenfeldShalvata Mental Health Center, Hod Hasharon, Israel. amityaro1@gmail.com.
Ori GanorShalvata Mental Health Center, Hod Hasharon, Israel.
Ariel GaonHadekel Mental Health Clinic, Eilat, Israel.
Rinat R YedidyaShalvata Mental Health Center, Hod Hasharon, Israel.
Lior AzimiShalvata Mental Health Center, Hod Hasharon, Israel.
Melanie ShmulevichDepartment of Psychiatry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Shlomo MendlvoicShalvata Mental Health Center, Hod Hasharon, Israel.
Ido LurieShalvata Mental Health Center, Hod Hasharon, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On October 7th, 2023, a deadly attack was launched on southern Israel from the Gaza Strip followed by major clashes along the Israel-Lebanon border. In the following days, approximately 2.5% of the Israeli population was evacuated from their homes, many of whom were directly affected by the violence Many evacuees were housed in Eilat, a small geographically peripheral city known for its holiday atmosphere in the southernmost part of Israel. The horrors of the terror attacks and the war, the unprecedented number of evacuees, and the highly limited mental health resources available in this remote city have combined to create an overwhelming demand for mental health services, which required the deployment of special measures. In this report from the field, we discuss our experiences in sending the first organized, organic teams to provide primary mental health support to the evacuees, with the supervision of Shalvata Mental Health Center, located over 300 km away from Eilat. Our experience highlights the need for proper preparation, planning, and practice for large-scale mental health support intervention in mass evacuation events and points to several successful and suboptimal practices for future deployment.

Indexed as

Mental Health ServicesHumansIsraelMental HealthTerrorism

Identifiers

PMID40563107
PMCPMC12199514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.