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Enregistrement W1970284531 · doi:10.1093/occmed/kqs220

Disease reporting after the Reporting of Injuries, Diseases, and Dangerous Occurrence Regulations (1995) (RIDDOR) is revised

2013· editorial· en· W1970284531 sur OpenAlexaff
Eugene Waclawski

Notice bibliographique

RevueOccupational Medicine · 2013
Typeeditorial
Langueen
DomaineMedicine
ThématiqueInjury Epidemiology and Prevention
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésDiseaseMedicineEnvironmental healthMedical emergencyPathology

Résumé

récupéré en direct d'OpenAlex

The Health and Safety Executive (HSE) consultation on amendments to the RIDDOR Regulations was concluded on 28 October 2012 [1]. Within the consultation was a proposal to limit disease reporting to the HSE to ‘those resulting from a work-related exposure to a biological agent’. The current process of disease reporting under RIDDOR is complicated, requiring a doctor to inform the employer via the employee of a disease and for the employer to be aware that the disease if associated with certain types of work must be reported to HSE [2]. As most workers do not have access to occupational health and general practitioners may not have had training to recognize an occupational cause of disease it is not surprising that the chain of events required to enable an employer to complete a RIDDOR report is not completed. There is also a disincentive to do so for the employer, as it may lead to investigation and possible prosecution. The experience of HSE has been that ‘occupational disease reporting levels are extremely low, the information being so incomplete that it is not regarded as an appropriate data set for statistical analysis’ [1]. Evidence from the Surveillance of Work-related and Occupational Respiratory Disease (SWORD) [3] and The Health and Occupational Reporting network (THOR) [4] reporting schemes supports this view in relation to respiratory disease and other occupational disease reporting respectively, as does epidemiological study of the population such as the report on hand arm vibration syndrome prevalence in the UK [5]. As a result of this HSE has identified alternative data sources that are preferred for use in describing ill-health, including the Labour Force Survey, THOR, SWORD, EPIDERM—the skin specialist surveillance scheme, Industrial Injury Disablement Benefit (IIDB), death certificates and the use of the attributable fraction (the proportion of the total number of cases of the disease that are caused by occupational exposure from epidemiological studies) [6]. These preferred sources do not provide a complete replacement for the categories of disease currently listed in RIDDOR [2]. As such a patchwork of schemes and data sources are proposed that will have holes rather than overlaps, which is the opposite of what was suggested in 1991 by Carter (at a time when the original RIDDOR Regulations (1985) [7] were known to have a data shortfall when comparing disease reporting to HSE with other sources) [8]. Currently, RIDDOR includes a requirement to report poisonings to a specific range of chemicals, gases and metals. Such information is not included in the information collected by HSE from their preferred sources. New associations between workplace exposures occur and further gaps in understanding the epidemiology of occupational disease will then be apparent. Recently, IARC reclassified formaldehyde as a class 1 carcinogen due to an association with acute myeloid leukaemia [9]. There is no current reporting of this in RIDDOR and none suggested in the preferred sources for ill-health. HSE can expand the preferred sources to fill the gaps that will occur if disease reporting is removed for RIDDOR and include further sources for new associations between exposures and occupational diseases. The use of electronic medical records in primary care and in other areas of health care may allow for data ana lysis when occupation is included in such systems, with appropriate safeguards for anonymizing data that is then analysed by a third party. Data linkage with other datasets that include occupation can be considered where the primary electronic record does not have data on occupation [10]. Given the difficulties of disease reporting under RIDDOR the continuing need for infectious disease reporting to HSE seems out of place. The current use of IIDB as a measure of infections underestimates the number of occupational infections. This is because this requires individuals to submit a claim for benefit and to be assessed as eligible for the benefit but most cases do not claim. It is unclear if the infections related to health care and veterinary practice, zoonoses in agriculture and laboratory acquired infections are likely to be reported any better in future under RIDDOR than has occurred in the past 25–30 years. It may be better for this function to be part of public health services with a requirement on these services to report infection that is work-related to HSE. Systems of notifying infectious disease already exist and could be extended for work-related infections. The recent Legionella outbreak in Edinburgh in 2012 highlights the benefits of public health, HSE and local authority bodies collaborating during an infectious disease outbreak. In addition, health care providers report on incidents of ill-health and could include evidence of staff exposure and illness in the workplace, together with actions to prevent such occurrences, in such reports. HSE could also access such summary reports for further information on occupational infection risks [11]. We also need a system for HSE to alert physicians to report specific diseases that occur as a result of work to HSE or a designated agency when new diseases are discovered. A system of sentinel health event investigation has been proposed previously [12], which could fill a gap when new diseases emerge that raise a concern of worker exposure. SARS is an example of an infection that had significant impact on health care workers and should be a warning to expect such problems in future [13]. In addition we need to allow physicians to report cases of disease that they suspect may be occupational to HSE or a designated agency so that appropriate investigation and prevention of other cases can occur. Recent evidence of bronchiolitis obliterans from exposure to diacetyl flavouring (‘popcorn workers’ lung’) [14] and progressive inflammatory neuropathy among swine slaughterhouse workers [15] shows that new diseases are still being recognized and HSE should anticipate such issues in future. Problems of occupational disease reporting are common in other countries and can differ from the UK experience. In other European countries there are different reasons for registries of occupational disease, such as for compensation purposes, statistics and research. There is also evidence of problems of reporting known occupational diseases and concern about inadequate alerting of new occupational diseases [17]. In Canada there is a reliance on data provided by workers’ compensation systems which set definitions for disease compensation which affects the number of cases accepted. In addition, there is a failure to report which may be related to the lack of awareness of the system among patients and specialists such as respiratory physicians [10] and oncologists [17]. Training physicians has been shown to improve reporting behaviours and should be included in post-graduate medical education for general practitioners and other specialists [18]. In summary, it is good that the need for disease reporting through RIDDOR has been reviewed by HSE and alternative sources of data that provide better estimates of disease are used where they exist. It is unclear why HSE wishes to continue to have infectious disease reporting when the evidence shows that the data is incomplete. Alternatives such as those suggested above should be considered. The gaps in reporting that will exist as a result of the changes proposed need to be filled and anticipation of new problems should lead to specific requirements for data collection for investigation, prevention, enforcement and statistical purposes.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,029
score de la tête « metaresearch » (Gemma)0,075
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,154

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0290,075
Méta-épidémiologie (sens strict)0,0060,003
Méta-épidémiologie (sens large)0,0080,007
Bibliométrie0,0090,004
Études des sciences et des technologies0,0050,006
Communication savante0,0150,007
Science ouverte0,0070,003
Intégrité de la recherche0,0310,043
Charge utile insuffisante (le modèle a refusé de juger)0,0090,011

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 Opus0,038
Tête enseignante GPT0,378
Écart entre enseignants0,340 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2013
Routes d'admission1
Résumé présentnon

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