Shining the Light on Mental Health in a Population at Risk: Cerebral Palsy and Other Developmental Disabilities
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Résumé
Editorials3 September 2019Shining the Light on Mental Health in a Population at Risk: Cerebral Palsy and Other Developmental DisabilitiesGloria Krahn, PhD, MPH and Susan Havercamp, PhDGloria Krahn, PhD, MPHOregon State University, Corvallis, Oregon (G.K.)Search for more papers by this author and Susan Havercamp, PhDOhio State University, Columbus, Ohio (S.H.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M19-1951 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail The health, both physical and mental, of persons with developmental disabilities is recently coming out of the shadows and gaining attention in research, policy, and practice. In a carefully designed study, Whitney and colleagues (1) report that adults with cerebral palsy (CP), with or without co-occurring developmental disabilities, experience much higher rates of mental health disorders than adults without CP. These findings are important to health professionals, policymakers, and researchers to understand, address, and potentially prevent mental health disorders within the context of promoting overall health.Whitney and colleagues' findings significantly contribute to an emerging literature of population-based studies that ...References1. Whitney DG, Warschausky SA, Ng S, et al. Prevalence of mental health disorders among adults with cerebral palsy. A cross-sectional analysis. Ann Intern Med. 2019;171:328-33. doi:10.7326/M18-3420 LinkGoogle Scholar2. Craig F, Savino R, Trabacca A. A systematic review of comorbidity between cerebral palsy, autism spectrum disorders and attention deficit hyperactivity disorder. Eur J Paediatr Neurol. 2019;23:31-42. [PMID: 30446273] doi:10.1016/j.ejpn.2018.10.005 CrossrefMedlineGoogle Scholar3. Reichard A, Haile E, Morris A. Characteristics of Medicare beneficiaries with intellectual or developmental disabilities. Intellect Dev Disabil. 2019. [Forthcoming]. CrossrefMedlineGoogle Scholar4. Shooshtari S, Martens PJ, Burchill CA, et al. Prevalence of depression and dementia among adults with developmental disabilities in Manitoba, Canada. Int J Family Med. 2011;2011:319574. [PMID: 22295184] doi:10.1155/2011/319574 CrossrefMedlineGoogle Scholar5. Scheepers M, Kerr M, O'Hara D, et al. Reducing health disparity in people with intellectual disabilities: a report from Health Issues Special Interest Research Group of the International Association for the Scientific Study of Intellectual Disabilities. J Policy Pract Intellect Disabil. 2005;2:249-255. doi:10.1111/j.1741-1130.2005.00037.x CrossrefGoogle Scholar6. Wilkinson J, Dreyfus D, Cerreto M, et al. “Sometimes I feel overwhelmed”: educational needs of family physicians caring for people with intellectual disability. Intellect Dev Disabil. 2012;50:243-50. [PMID: 22731973] doi:10.1352/1934-9556-50.3.243 CrossrefMedlineGoogle Scholar7. Substance Abuse and Mental Health Services Administration. Guidance on inappropriate use of antipsychotics: older adults and people with intellectual and develomental disabilities in community settings. Accessed at https://store.samhsa.gov/system/files/pep19-inappuse-br_0.pdf on 18 June 2019. Google Scholar8. Alliance for Disability in Health Care Education. Core Competencies on Disabilty for Health Care Education. Peapack, NJ: Alliance for Disability in Health Care Education; 2018. Accessed at http://nisonger.osu.edu/wp-content/uploads/2018/09/Core-Competencies-on-Disability_8.31.18.pdf on 18 June 2019. Google Scholar9. American Medical Association. Inclusion of Developmental Disabilities Curriculum in Undergraduate, Graduate and Continuing Medical Education of Physicians. Accessed at www.ama-assn.org/sites/ama-assn.org/files/corp/media-browser/public/hod/a17-resolutions.pdf on 18 June 2019. Google Scholar10. National Council on Disability. NCD response letter to Liaison Committee on Medical Education regarding integration of disability curriculum requirement. Accessed at www.ncd.gov/publications/2019/ncd-response-letter-lcme on 18 June 2019. Google Scholar Author, Article, and Disclosure InformationAffiliations: Oregon State University, Corvallis, Oregon (G.K.)Ohio State University, Columbus, Ohio (S.H.)Disclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M19-1951.Corresponding Author: Gloria Krahn, PhD, MPH, Oregon State University, 2631 SW Campus Way, Corvallis, OR 97331; e-mail, Gloria.[email protected]edu.Current Author Addresses: Dr. Krahn: Oregon State University, 2631 SW Campus Way, Corvallis, OR 97331.Dr. Havercamp: Ohio State University, 1581 Dodd Drive, Columbus, OH 43210.This article was published at Annals.org on 6 August 2019. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoPrevalence of Mental Health Disorders Among Adults With Cerebral Palsy Daniel G. Whitney , Seth A. Warschausky , Sophia Ng , Edward A. Hurvitz , Neil S. Kamdar , and Mark D. Peterson Metrics 3 September 2019Volume 171, Issue 5Page: 370-371KeywordsAdultsAnxiety disordersCerebral palsyCommunication in health careDisabilitiesHealth careIntellectual disabilityMedicarePsychiatry and mental healthYoung adults ePublished: 6 August 2019 Issue Published: 3 September 2019 Copyright & PermissionsCopyright © 2019 by American College of Physicians. All Rights Reserved.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 | 0,008 | 0,050 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,006 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,010 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,010 |
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 ».