REPORTING OF PESTICIDE ILLNESS BY HEALTH CARE PROVIDERS TO WASHINGTON STATE’S PESTICIDE ILLNESS MONITORING SYSTEM
Notice bibliographique
Résumé
ISEE-462 Introduction: Washington State Department of Health (DOH) investigates all suspected cases of pesticide-related-illness reported to the Pesticide Illness Monitoring System (PIMS). All cases reported to PIMS are investigated to determine whether they are pesticide-related. PIMS is a passive surveillance system and depends on cases being reported to it from multiple sources. Major reporting sources include: The Department of Labor and Industries, Washington Department of Agriculture, Washington State Poison Control, and Health Care Providers (HCPs). A passive surveillance system such as PIMS may only capture a fraction of the cases that are actually occurring. Cases who become sick after suffering a pesticide related illness and do not seek medical care are often difficult to capture. However, the percentage of cases that seek medical care and are actually reported to PIMS is unknown. HCPs, underreporting is thought to be likely since less than a quarter of cases reported to PIMS either directly or indirectly are reported by HCPs. Methods: To estimate the percent of pesticide related cases occurring that seek medical care, and are actually captured by PIMS, DOH requested information from records for a number of ICD-9 codes frequently associated with pesticide related illness for cases occurring between 1999-2001 from the major hospitals and clinics in an agricultural region in Central Washington State. The information requested records included: ICD-9 codes, name, age, gender, address, visit date, and insurance. These records were then matched to our PIMS database using a deterministic match. Results: We obtained approximately 100,000 records of unique patient visits. Of these records 169 had a pesticide related ICD-9 code, (Toxic effect of other substances, chiefly non-medicinal: 989.0-989.4, and Accidental poisoning by agricultural and horticultural chemical preparations: E863.0-E863.7). Fewer than half of these 169 records matched to our PIMS database. Discussion: Less than half of HCP visits that are coded with a pesticide related ICD-9 code were reported to our surveillance system over a three year period. This investigation suggests that underreporting of pesticide-related-illness is likely to occur. A passive surveillance system depends on reporting to capture cases. Although other sources may report cases, reporting may be delayed. Delayed reports are often difficult to classify as being pesticide related. HCPs need to be encouraged to report pesticide related illness. Obstacles to HCP reporting such as difficulties with identifying, treating, and coding possible pesticide related illnesses need to be explored.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».