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Record W2916487446

YAŞLILARDA DELİRYUM, DEMANS VE DEPRESYON; DEĞERLENDİRME VE BAKIM

2017· article· tr· W2916487446 on OpenAlexaboutno aff
Neslihan SARI, Meryem Yavuz Van Gıersbergen

Bibliographic record

VenueDergiPark (Istanbul University) · 2017
Typearticle
Languagetr
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaDeliriumHastaMedicineDepression (economics)PsychiatryGynecologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Başlık: YAŞLILARDA DELİRYUM, DEMANS VE DEPRESYON; DEĞERLENDİRME VE BAKIMTitle: DELIRIUM, DEMENTIA, AND DEPRESSION INOLDER ADULTS: ASSESSMENT AND CAREÖzet: Yaşlıbireylerde deliryum, demans ve depresyonun görülmesi oldukça yaygın birdurumdur. Deliryum, demans veya depresyona sahip olmak kişinin diğerdurumlardan birisini geliştirme riskini artırabilir, var olan bir durumukötüleştirebilir veya diğer koşullardan birinin sonucu olabilir. Buhastalıkların yaşlı bireylerde erken tanılanması, değerlendirilmesi ve bakımıdeliryum, demans ve depresyonun yönetimi için önemlidir.Buderleme yaşlılarda deliryum, demans ve depresyonun değerlendirilmesi vebakımında kanıt temelli yaklaşımları vurgulamak amacıyla yapılmıştır. Abstract: Itis common for elderly people to have delirium, dementia and depression. Having delirium, dementia, or depression can increase aperson’s risk of developing one of the other conditions, can exacerbate anexisting condition, or can be a consequence of one of the other conditions.Early diagnosis, evaluation and care of these diseases in elderly people isimportant for the management of delirium, dementia and depression.Thisreview emphasizes evidence-based approaches to the evaluation and care ofdelirium, dementia and depression in the elderly.Anahtar kelimeler: Yaşlılık, deliryum, demans, depresyonKeywords: Elderly, delirium, dementia, depression.Destekleyen kurumlar: -Kaynakça: AlzheimerSociety of Canada. (2015b). Other dementias. http://www.alzheimer.ca/en/About-dementia/Dementias (Erişimtarihi: 06.07.2017) American Medical Directors Association.(2011). Depression in the long-termcare setting. Columbia.Beğer T,Yavuzer H. (2012) Yaşlılık ve Yaşlılık Epidemiyolojisi. Klinik Gelişim. 25:1-3.Brodaty, H,Arasaratnam, C. (2012). Meta-analysis of nonpharmacological interventions forneuropsychiatric symptoms of dementia. TheAmerican Journal of Psychiatry, 169(9), 946–953. Canadian Psychological Association. (2015). “Psychology works” fact sheet: Depressionamongseniors.http://www.cpa.ca/docs/File/Publications/FactSheets/PsychologyWorksFactSheet_DepressionAmongSeniors.pdf(Erişim tarihi:06.07.2017) Development Group of the Clinical PracticeGuideline on the Comprehensive Care of People with Alzheimer’s Disease andOther Dementias. (2010). ClinicalPractice Guideline on the comprehensive care of people with Alzheimer’s diseaseand other dementias. http://www.guiasalud.es/GPC/GPC_484_Alzheimer_AIAQS_comp_eng.Pdf (Erişim tarihi:06.07.2017) Dreizler,J., Koppitz, A., Probst, S., & Mahrer-Imhof, R. (2014). Including nurses incare models for older people with mild to moderate depression: An integrativereview. Journal of Clinical Nursing,23(7-8), 911–926.Enmarker,I., Olsen, R., & Hellzen, O. (2011). Management of person with dementiawith aggressive and violent behaviour: a systematic literature review. International Journal of Older PeopleNursing, 6(2), 153–162.Flaherty,J. H., Gonzales, J. P., & Dong, B. (2011). Antipsychotics in the treatmentof delirium in older hospitalized adults: A systematic review. Journal of the American Geriatrics Society,59(Suppl. 2), S269–276.Hshieh, T., Yue, J., Oh, E., Puelle, M., Dowal, S., Travison, T., & Inouye, S. K.(2015). Effectiveness of multicomponent nonpharmacological deliriuminterventions: A meta-analysis. JAMAInternal Medicine, 175(4), 512–520.Inouye, S.K., Westendorp, R. G. J., & Saczynski, J. S. (2014). Delirium in elderlypeople. The Lancet, 383(9920),911– 922.Khan, B.A., Zawahiri, M., Campbell, N. L., Fox, G. C., Weinstein, E. J., Nazir, A., ...Boustani, M. A. (2012). Delirium in hospitalized patients: Implications ofcurrent evidence on clinical practice and future avenues for research—Asystematic evidence review. Journal ofHospitalMedicine, 7(7), 580–589.Marcantonio,E. R. (2011). Delirium. Annals ofInternal Medicine, 154(11), ITC6 2–16.Martinez,F., Tobar, C., & Hill, N. (2015). Preventing delirium: Shouldnon-pharmacological, multicomponent interventions be used? A systematic reviewand meta-analysis of the literature. Ageand Ageing, 44(2), 196–204. Moniz Cook,E. D., Swift, K., James, I., Malouf, R., De Vugt, M., & Verhey, F. (2012).Functional analysis-based interventions for challenging behaviour in dementia. Cochrane Database of Systematic Reviews,2012(2). doi:10.1002/14651858.CD006929.pub2NationalInstitute for Health and Clinical Excellence. (2010). Delirium: Diagnosis, prevention and management. London, UK:Author. O’Connor, E. A., Whitlock, E. P., Gaynes, B.,& Beil, T. L. (2009). Screening for depression in adults and older adultsin primary care: An updated systematic review. Evidence Synthesis No. 75 (AHRQ Publication No. 10-05143-EF-1).Rockville, MA: Agency for Healthcare Research and Quality.Orgeta, V.,Qazi, A., Spector, A. E., & Orrell, M. (2014). Psychological treatments fordepression and anxiety in dementia and mild cognitive impairment. Cochrane Database of Systematic Reviews,2014(1). doi:10.1002/14651858. CD009125.pub2Regan, B.,& Varanelli, L. (2013). Adjustment, depression, and anxiety in mildcognitive impairment and early dementia: A systematic review of psychologicalintervention studies. Internationalpsychogeriatrics, 25(12), 1963– 1984.RegisteredNurses’ Association of Ontario. (2010b). Screeningfor delirium, dementia and depression in the older adult. Toronto. Registered Nurses’ Association ofOntario-RNAO. Nursing Best Practice Guideline, Delirium, Dementia, and Depression inOlder Adults: Assessment and Care 2016. Erişim tarihi: 11.05.2017. http://rnao.ca/bpg/guidelines/assessment-and-care-older-adults-delirium-dementia-and-depression.Trangle,M., Gursky, J., Haight, R., Hardwig, J., Hinnenkamp, T., Kessler, D. ...Myszkowski, M. (2016). Adultdepression in primary care. Retrieved from the Institute for ClinicalSystems Improvements website: https://www.icsi.org/_asset/fnhdm3/Depr.pdfUeda, T.,Suzukamo, Y., Sato, M., & Izumi, S.-I. (2013). Effects of music therapy onbehavioral and psychological symptoms of dementia: A systematic review andmeta-analysis. Ageing ResearchReviews, 12(2), 628–641.WHO (1972)Psychogeriatric, report of a WHO Scientific Group, Technical Reports Series507, Geneva. Cited in Davise AM. Epidemiology 185; 14(1):9-21. WHO (1984) The uses of epidemiology in thestudy of the elderly. WHO, Technical Reports Series 706, Geneva:8-9.WorldHealth Organization. (2012). Dementia: A public health priority. http://www.who.int/mental_health/publications/dementia_report_2012/en/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2017
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