Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Más filtros

Banco de datos
Asunto principal
País/Región como asunto
Tipo del documento
País de afiliación
Intervalo de año de publicación
1.
BMJ Mil Health ; 170(3): 212-215, 2024 May 22.
Artículo en Inglés | MEDLINE | ID: mdl-38777366

RESUMEN

OBJECTIVE: The selection process to the British Army's Brigade of Gurkhas is rigorous, demanding and competitive. The ethos of recruitment to the Gurkhas is grounded in an overarching tenant: that selection is free, fair and transparent. The aim of this study was to retrospectively review reasons for potential recruits (PRs) to be deemed medically unsuitable or deferred suitability on medical grounds for selection to the Brigade of Gurkhas. METHODS: A retrospective review was conducted by extracted data from published post-exercise reports for the past four years to ascertain numbers of PRs deemed medically fit, medically unsuitable or deferred suitability on medical grounds. The International Classification of Disease version 11 (ICD-11) codes were retrospectively assigned to code medical reasons for non-progression. Rates of medical non-progression were compared by year. RESULTS: A total of 3154 PRs were analysed between 2018 and 2021. There was no significant difference between PRs deemed medically fit and those deemed medically suitable or deferred on medical grounds over the study period (p=0.351). There was a significant difference in the ratio of PRs deferred on medical grounds and those deemed medically unsuitable over the study period (p<0.05). CONCLUSION: Selection to the Gurkhas is extremely competitive. These data demonstrate that, overall, reasons for medical deferral or unsuitability have remained constant despite the impact of a global pandemic. These data reinforce the central tenant of Gurkha selection; that it continues to be free, fair, and transparent.


Asunto(s)
Personal Militar , Humanos , Estudios Retrospectivos , Personal Militar/estadística & datos numéricos , Masculino , Estudios de Cohortes , Reino Unido , Selección de Personal/métodos , Selección de Personal/estadística & datos numéricos , Salud Laboral/estadística & datos numéricos , Tamizaje Masivo/métodos , Tamizaje Masivo/estadística & datos numéricos , Femenino , India/epidemiología , Adulto
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA