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Enregistrement W4365443887 · doi:10.11124/jbies-23-00083

How a systematic review of the experiences of emergency first responder family members living with post-traumatic stress disorder can inform new models of care

2023· review· en· W4365443887 sur OpenAlexaboutno aff
Karen May, Miranda Van Hooff, Matthew Doherty, Marie Iannos

Notice bibliographique

RevueJBI Evidence Synthesis · 2023
Typereview
Langueen
DomainePsychology
ThématiquePosttraumatic Stress Disorder Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPopulationMental healthTraumatic stressPsychologyMedicineFirst responderPsychiatryMedical emergencyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

The impact and frequency of natural and man-made disasters and health crises, such as earthquakes, terrorist attacks, and pandemics, are increasingly dire for an ever-growing population. Emergency first responders (EFRs) who attend these events are more frequently associated with psychological risks, such as post-traumatic stress disorder (PTSD). As a result, it is crucial that we understand the experiences of family members of EFRs, who are also affected by the EFRs’ PTSD. Researchers have been aware of intergenerational impacts of trauma since the 1960s and the Holocaust generation1; however, there has been little development of tailored support for EFR service families living with the risk and occurrence of PTSD. A systematic review in this issue of JBI Evidence Synthesis focuses on the experiences and perceptions of EFR family members, and shines a light on this phenomenon and the ripple effect of trauma in EFR service families.2 The findings encapsulate the available qualitative data from spouses and children, and highlight both the mental health and functional impacts, as well as their support needs.2 The findings also inform a set of recommendations for policy, research, and practice for a proposed new model of care.2 EFRs, often called public safety personnel, can refer to vocations such as police, ambulance/paramedics, firefighters, and rescue personnel. There is an established evidence base on the high rates of PTSD in service populations compared with civilian populations.3–5 In Australia, rates of PTSD are significantly higher in both current-serving EFRs (10%) and former-serving EFRs (25%) than they are in the general Australian community (7.3%).3–5 Family members of EFRs have largely been excluded from models of care for EFRs experiencing PTSD. This had been the case in military populations until recently, but policy and practice have gradually changed, and the duty of care now extends beyond the current or former member to include family members. Family members are often carers, but are also care-seekers due to the impacts of the vicarious and secondary trauma they experience. Vicarious traumatization is defined as an individual’s psychoemotional reactions as a result of exposure to others’ traumatic experiences, for example, via verbal accounts or photographs.6 Secondary (indirect) traumatization describes an individual affected by another individual’s PTSD symptoms, who then starts to experience their own symptoms, adopting a similar worldview and maladaptive behaviors.6 Our systematic review included 5 eligible studies, which yielded 53 findings extracted into 9 categories, with 4 broad synthesized findings.2 Despite the small number of included studies, the dependability of the extracted findings was high, with plentiful illustrations of the participants’ voices to support each finding.2 Most of the data addressed the experiences and perceptions of the service members’ spouses, with limited data from their children.2 The spouse’s change of role in the family to carer of the EFR with PTSD was a predominate experience, which involved both overburden and protecting the family unit.2 The included studies were from multiple countries, including Australia,7 New Zealand,8 and Canada.9 Two studies were based in the United States,10,11 both focusing on the World Trade Center terrorist attacks of 9/11. The first synthesized finding addresses the impacts of the EFRs’ PTSD on the functioning of the family, including the impacts on or conflicts in spousal relationships, as well as changes to domestic roles, household chores, parenting, or income earning.2 The second synthesized finding brings together the findings from 2 categories, 1 for EFR spouses’ experiences of vicarious trauma and 1 for the experiences of secondary trauma, including the experiences of overburden as a carer of an EFR with PTSD.2 The third synthesized finding encompasses 4 categories of extracted findings from the included studies on children’s experiences of vicarious trauma, secondary trauma, and/or separation anxiety.2 The final synthesized finding collates 2 categories of findings on spouses’ help-seeking for their EFR partner with PTSD, as well as for themselves and their children, via the EFR organization and other external agencies.2 The findings from this review provide a deeper understanding of the experiences and perceptions of family members of EFRs with PTSD. They give us insight into their needs as individuals and as family units, as children or spouses, and as carers but also as care-seekers needing their own mental health support due to vicarious or secondary trauma, or both. These findings can be used to inform EFR organizations and other providers of support for EFRs and their family members to ensure they receive care. The psychosocial impacts of PTSD and how it affects relationships are highlighted through the families’ perspectives, illuminating the broad-reaching effects of trauma on the families. The findings raise awareness of the need for greater recognition of the early indications of vicarious trauma, secondary trauma, and related conditions in family members, but also overburden of carers and functional impacts.2 There are recommendations for the inclusion of spouses or family members in support programs, including peer support, across the EFR career span to enable effective prevention, monitoring, and early treatment for the EFR, their children, and other family members as required.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,114
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0050,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0030,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,107
Tête enseignante GPT0,398
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

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