Women seafarers’ health and welfare survey
Notice bibliographique
Résumé
BACKGROUND: This is a collaborative study from the International Maritime Health Association, International Seafarers' Welfare and Assistance Network, International Transport Workers' Federation and the Seafarers Hospital Society. The aim of the study was to look at the health and welfare needs of women seafarers and how organisations can best make or campaign for improvements to the health information and services available to women seafarers. MATERIALS AND METHODS: A pilot study was conducted in July 2014 and following review of the data and revision of the questionnaire the study was launched in December 2014, running until the middle of March 2015. Results collected from the survey are also supported by qualitative data obtained from two focus groups run during February and March. RESULTS: 595 responses were received from a range of nationalities, ages and positions on board ships. The findings suggest that joint/back pain, stress/depression/anxiety and headache seem to be the most common symptoms reported by women seafarers and that 55% felt that they are related to their work. 48% state that they have problems with seeking medical care and offer suggestions to improve this. Routine wellness checks, nutrition and information on joint and back pain are the main areas that women seafarers stated health screening/services/information would be most useful to improve their health and wellbeing. They suggested this could best be received directly from health professionals, or alternatively by reading leaflets or from online websites/an app. Significantly 37% of women seafarers also stated that they do not have access to sanitary bins within the toilet and 18% say that sexual harassment is an issue. CONCLUSIONS: The responses received highlight a small number of areas where relatively simple and low-cost interventions might improve the health and welfare of women seafarers. Specifically these include the production and appropriate distribution of gender-specific information on back pain, mental health and nutrition in addition to gynaecological complaints, to all women seafarers; the introduction of means for disposing of sanitary waste for all female crew on all ships and the improved availability of female specific products e.g. sanitary products in port shops and welfare centres worldwide. Additional work is needed to investigate these areas more fully and to look at the issue of confidence in medically trained staff, medical confidentiality and sexual harassment. Any further work and interventions will require the support of all of the main stakeholders and we plan a briefing meeting to publicise the findings to date and to identify support for further work in this area.
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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».