Total Worker Health: A Promising Approach to a Safer and Healthier Workforce
Notice bibliographique
Résumé
Editorials16 August 2016Total Worker Health: A Promising Approach to a Safer and Healthier WorkforceRobert K. McLellan, MD, MPHRobert K. McLellan, MD, MPHFrom Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/M16-0965 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail More than 151 million people work in the United States. Their jobs are not merely an economic engine for our society—work serves as a key social determinant of health. With work comes income; social connection; and ideally, meaningful activity and benefits to pay for health care. However, since Hippocrates, observant physicians have also seen a plethora of adverse health effects associated with occupational hazards.The Occupational Safety and Health Administration mandates that, whenever feasible, employers use the most effective approaches to prevent harm from work. The preferred hierarchy of controlling hazards recognizes the primacy of engineering reductions in hazards, with ...References1. Sorensen G, Landsbergis P, Hammer L, Amick BC, Linnan L, Yancey A, et al; Workshop Working Group on Worksite Chronic Disease Prevention. Preventing chronic disease in the workplace: a workshop report and recommendations. Am J Public Health. 2011;101 Suppl 1:S196-207. [PMID: 21778485] doi:10.2105/AJPH.2010.300075 CrossrefMedlineGoogle Scholar2. Loeppke R, Taitel M, Haufle V, Parry T, Kessler RC, Jinnett K. Health and productivity as a business strategy: a multiemployer study. J Occup Environ Med. 2009;51:411-28. [PMID: 19339899] doi:10.1097/JOM.0b013e3181a39180 CrossrefMedlineGoogle Scholar3. Goetzel RZ, Henke RM, Tabrizi M, Pelletier KR, Loeppke R, Ballard DW, et al. Do workplace health promotion (wellness) programs work? J Occup Environ Med. 2014;56:927-34. [PMID: 25153303] doi:10.1097/JOM.0000000000000276 CrossrefMedlineGoogle Scholar4. Schulte PA, Pandalai S, Wulsin V, Chun H. Interaction of occupational and personal risk factors in workforce health and safety. Am J Public Health. 2012;102:434-48. [PMID: 22021293] doi:10.2105/AJPH.2011.300249 CrossrefMedlineGoogle Scholar5. National Institute for Occupational Safety and Health (NIOSH). National occupational research agenda (NORA): national Total Worker Health agenda (2016–2026): a national agenda to advance Total Worker Health research, practice, policy, and capacity. Cincinnati: U.S. Department of Health and Human Services (DHHS), Centers for Disease Control and Prevention, and NIOSH; 2016. DHHS (NIOSH) publication 2016–119. Accessed at www.cdc.gov/niosh/docs/2016-114/pdfs/nationaltwhagenda2016-1144-14-16.pdf on 23 April 2016. Google Scholar6. Feltner C, Peterson K, Palmieri Weber R, Cluff L, Coker-Schwimmer E, Viswanathan M, et al. The effectiveness of Total Worker Health interventions: a systematic review for a National Institutes of Health Pathways to Prevention Workshop. Ann Intern Med. 2016;165:262-9. doi:10.7326/M16-0626 LinkGoogle Scholar7. Anger WK, Elliot DL, Bodner T, Olson R, Rohlman DS, Truxillo DM, et al. Effectiveness of Total Worker Health interventions. J Occup Health Psychol. 2015;20:226-47. [PMID: 25528687] doi:10.1037/a0038340 CrossrefMedlineGoogle Scholar8. Bradley CJ, Grossman DC, Hubbard RA, Ortega AN, Curry SJ. Integrated interventions for improving Total Worker Health: a panel report from the National Institutes of Health Pathways to Prevention Workshop: Total Worker Health—What's Work Got to Do With It? Ann Intern Med. 2016;165:279-83. doi:10.7326/M16-0740 LinkGoogle Scholar9. Tomek IM, Sabel AL, Froimson MI, Muschler G, Jevsevar DS, Koenig KM, et al. A collaborative of leading health systems finds wide variations in total knee replacement delivery and takes steps to improve value. Health Aff (Millwood). 2012;31:1329-38. [PMID: 22571844] doi:10.1377/hlthaff.2011.0935 CrossrefMedlineGoogle Scholar10. Politi BJ, Arena VC, Schwerha J, Sussman N. Occupational medical history taking: how are today's physicians doing? A cross-sectional investigation of the frequency of occupational history taking by physicians in a major U.S. teaching center. J Occup Environ Med. 2004;46:550-5. [PMID: 15213517] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M16-0965.Corresponding Author: Robert K. McLellan, MD, MPH, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, NH 03756; e-mail, robert.k.[email protected]org.This article was published at www.annals.org on 31 May 2016. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoIntegrated Interventions for Improving Total Worker Health: A Panel Report From the National Institutes of Health Pathways to Prevention Workshop: Total Worker Health—What's Work Got to Do With It? Cathy J. Bradley , David C. Grossman , Rebecca A. Hubbard , Alexander N. Ortega , and Susan J. Curry NIOSH Response to the NIH Pathways to Prevention Workshop Recommendations John Howard , Chia-Chia Chang , Anita L. Schill , and L. Casey Chosewood The Effectiveness of Total Worker Health Interventions: A Systematic Review for a National Institutes of Health Pathways to Prevention Workshop Cynthia Feltner , Kristina Peterson , Rachel Palmieri Weber , Laurie Cluff , Emmanuel Coker-Schwimmer , Meera Viswanathan , and Kathleen N. Lohr Metrics Cited byDiet, physical activity, and emotional health: what works, what doesn't, and why we need integrated solutions for total worker healthClearing the Smoke Screen: Smoking, Alcohol Consumption, and Stress Management Techniques among Canadian Long-Term Care WorkersAn Integrative Total Worker Health Framework for Keeping Workers Safe and Healthy During the COVID-19 PandemicHealth Risk CalculatorIntegrating worksite health protection and health promotion: A conceptual model for intervention and research 16 August 2016Volume 165, Issue 4Page: 294-295KeywordsBehaviorDisclosureHealth careHealth economicsHealth promotionMedical risk factorsPopulation statisticsPrevention, policy, and public healthSocial welfareSystematic reviews ePublished: 31 May 2016 Issue Published: 16 August 2016 PDF downloadLoading ...
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 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 | 0,006 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,012 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,025 |
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 ».