Women seafarers’ health and welfare survey
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".