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Enregistrement W2548123386 · doi:10.1176/appi.pn.2016.11a12

Clinicians Share Strategies For Treating Refugees

2016· article· en· W2548123386 sur OpenAlexaboutno aff
Aaron Levin

Notice bibliographique

RevuePsychiatric News · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueMigration, Health and Trauma
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRefugeeMental healthDepression (economics)Intervention (counseling)AnxietyImmigrationPsychologySession (web analytics)PsychiatrySociologyPolitical scienceMedicineBusinessLaw

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Clinical and Research NewsFull AccessClinicians Share Strategies For Treating RefugeesAaron LevinAaron LevinPublished Online:2 Nov 2016https://doi.org/10.1176/appi.pn.2016.11a12AbstractAgencies provide care for refugees of all backgrounds and from many countries to recover from multiple traumas.Refugees, no matter where they're from or how old they are or what drove them from their homes, have experienced stresses serious enough to threaten their mental well-being, said speakers at APA's fall meeting, IPS: The Mental Health Services Conference, held in Washington, D.C., in October.All face a higher risk of depression, anxiety, PTSD, and other reactions to their experiences, even once they have migrated to relative safety, noted session organizer Amy Gajaria, M.D., a PGY-4 at the University of Toronto.Children arriving across the Mexico-U.S. border often need some kind of mental health intervention, says Gaurav Mishra, M.D., M.B.B.S., of the Imperial County (Calif.) Behavioral Health Services.Aaron LevinChildren are an especially high-risk group, said Gaurav Mishra, M.D., M.B.B.S., a child psychiatrist with the Imperial County (Calif.) Behavioral Health Services, near the border with Mexico. He sees young people who come from Nicaragua, Honduras, and El Salvador, as well as surprising numbers from Haiti and Africa. Many faced violence back home, separation from their parents, and exploitation or abuse on the way to the United States, said Mishra. In addition, young children's reactions may be heightened by the fact that they have little say in the decision to emigrate.Imperial County provides age-graded services for children, adolescents, and young people up to age 25 who have behavioral problems or diagnosed mental illnesses. For instance, the Vista Sands Program addresses behavioral issues among 7- to 12-year-olds by giving them half a day in school and half a day of group work on social skills, anger management, and self-control. Funding comes from California's 1 percent tax on incomes over $1 million."I also see my role as an educator to others, particularly to the rest of the medical community in the area," said Mishra.Another subpopulation more vulnerable than most to the effects of forced migration is the elderly, said Peter Ureste, M.D., a geriatric psychiatry fellow at the University of California, San Francisco, and an APA Public Psychiatry Fellow."They may face malnutrition when food is rationed after a disaster," said Ureste, "and their physical limitations may hamper navigating makeshift shelters or reaching dropoff points for food and water. Plus, it's hard for those with chronic illnesses to stay on medications."Older people have longstanding attachments to their homelands and so may experience grief, depression, or anxiety when forced to leave, he said. However, older people can also serve as carriers of cultural traditions to shore up communities and, on a practical level, care for children and the sick while younger people work or rebuild."Refugees from Syria are all affected by loss of home, money, jobs, family, and friends," said Ashley Nemiro, Ph.D., the technical advisor for mental health for the International Rescue Committee (IRC), which helps refugees resettle in the United States. "They experience stress from the conflicts in their home country, from their displacement, and from daily life in the places where they have resettled. They face a unique set of psychosocial needs and have a high level of severe emotional disorders."Coming from a war zone, all have lost friends or family members and have relatives still back in Syria about whom they worry. They often don't know what to expect when they arrive in the United States and may even face hostility.Curiously, refugees from rural areas sometimes cope better than middle-class professionals, she said. The latter may have academic credentials that aren't valid in this country and have had steeper losses of identity, status, and income.IRC uses the Refugee Health Screen (RHS-15) to screen clients for anxiety, depression, and PTSD and then determine their placement and track their progress. Also, all female refugees are screened for domestic violence and sexual assault—with a 25 percent positive rate so far.The organization has developed a variety of support systems for refugees by creating partnerships and integrating services with existing community programs. In Baltimore, for instance, community health workers visit the refugees to connect them with community services; in Dallas they connect with clients through a local mosque; and in Phoenix, they use high school and adult group therapy. "It's difficult in practice," said Nemiro. "We need to let people tell us their stories and then help them to do the tasks of daily living themselves."It may be difficult for those who serve them as well, said Steven Moffic, M.D., the discussant at the session and a retired professor of psychiatry and behavioral medicine at the Medical College of Wisconsin."Working with these populations can be a route to burnout," said Moffic. "It's important how organizations deal with that possibility and provide support for their mental health professionals." ■For more about mental health care for refugees, see "Aid Agencies Find Different Ways to Help Staff Cope With Disaster Stress,", and "Child Refugees May Have Harrowing Journey North," ISSUES NewArchived

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,370
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

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

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 Opus0,037
Tête enseignante GPT0,383
Écart entre enseignants0,346 · 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'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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