Evidence map›Paper›PMID 37194550›Full record

ArticleBJPsych open2023

Health trajectories of international humanitarian aid workers: growth mixture modelling findings from a prospective cohort study.

Kaz de Jong, Saara E Martinmäki, Hans Te Brake, Ivan Komproe, Rolf J Kleber, Joris F G Haagen

Open access · goldAbstract read
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Kaz de JongMédecins Sans Frontières, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4078-1887
Saara E MartinmäkiCentre of Excellence Impact, ARQ Centre of Expertise for the Impact of Disasters and Crises, Diemen, The Netherlands.
Hans Te BrakeCentre of Excellence Impact, ARQ Centre of Expertise for the Impact of Disasters and Crises, Diemen, The Netherlands.
Ivan KomproeResearch and Development Department, Utrecht University, Utrecht, The Netherlands; and HealthNet TPO, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8084-8519
Rolf J KleberDepartment of Clinical Psychology, Utrecht University, Utrecht, The Netherlands; and ARQ National Psychotrauma Centre, Diemen, The Netherlands.
Joris F G HaagenARQ Centre of Expertise for the Impact of Disasters and Crises, Diemen, The Netherlands.
Arq Psychotrauma Expert Group · NLUtrecht University · NLMédecins Sans Frontières · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost staff stay healthy during humanitarian work, although some worsen. Mean scores on health indicators may be masking individual participants struggling with health issues.

aimsTo investigate different field assignment-related health trajectories among international humanitarian aid workers (iHAWs) and explore the mechanisms used to stay healthy.

methodGrowth mixture modelling analyses for five health indicators using pre-/post-assignment and follow-up data.

resultsAmong 609 iHAWs three trajectories (profiles) were found for emotional exhaustion, work engagement, anxiety and depression. For post-traumatic stress disorder (PTSD) symptoms, four trajectories were identified. The 'healthy/normative' trajectory had the largest sample size for all health indicators (73-86%). A stable (moderate) 'ill health' trajectory was identified for all health indicators (7-17%), except anxiety. An 'improving' trajectory was found for PTSD and anxiety symptoms (5-14%). A minority of staff (4-15%) worsened on all health indicators. Deterioration continued for PTSD, depressive symptoms and work engagement 2 months post-assignment. A strong sense of coherence was associated with higher odds of belonging to the 'healthy' trajectory. Female biological sex was associated with higher odds of belonging to the 'worsening' depression and anxiety trajectories. Extended duration of field assignment was related to higher odds of belonging to the 'worsening' depressive symptoms trajectory.

conclusionsMost iHAWs stayed healthy during their assignment; a stable 'ill health' trajectory was identified for most health indicators. Sense of coherence is an important mechanism for understanding the health of all iHAWs in the different health trajectories, including the 'healthy' profile. These findings give new possibilities to develop activities to prevent worsening health and help strengthen iHAWs' ability to remain healthy under stress.

Indexed as

growth mixture modellingMédecins Sans Frontièressense of coherencestaff healthstress

Identifiers

PMID37194550
PMCPMC10228245
OpenAlexW4376871307

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LicenceCC BY
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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.