Literature DB >> 29473941

Targeted Geriatric Assessment for Fast-Paced Healthcare Settings: Development, Validity, and Reliability.

Márlon J R Aliberti1,2, Daniel Apolinario1, Claudia K Suemoto1, Juliana A Melo1, Sileno Q Fortes-Filho1, Marcos D Saraiva1, Carolina B Trindade1, Kenneth E Covinsky2,3, Wilson Jacob-Filho1.   

Abstract

OBJECTIVES: To develop and examine the validity and reliability of a targeted geriatric assessment (TaGA) for busy healthcare settings.
DESIGN: The TaGA was developed through the consensus of experts (Delphi technique), and we investigated its construct validity and reliability in a cross-sectional study.
SETTING: Geriatric day hospital specializing in acute care in Brazil. PARTICIPANTS: Older adults (N = 534) aged 79.5 ± 8.4, 63% female, consecutively admitted to the geriatric day hospital. MEASUREMENTS: The Frailty Index (FI), Physical Frailty Phenotype, and Identification of Seniors at Risk (ISAR) were used to explore the TaGA's validity. External scales were used to investigate the validity of each matched TaGA domain. The interrater reliability and time to complete the instrument were tested in a 53-person subsample.
RESULTS: In 3 rounds of opinion, experts achieved consensus that the TaGA should include 10 domains (social support, recent hospital admissions, falls, number of medications, basic activities of daily living, cognitive performance, self-rated health, depressive symptoms, nutritional status, gait speed). They arrived at sufficient agreement on specific tools to assess each domain. A single numerical score from 0 to 1 expressed the cumulative deficits across the 10 domains. The TaGA score was highly correlated with the FI (Spearman coefficient = 0.79, 95% confidence interval (CI)=0.76-0.82) and discriminated between frail and nonfrail individuals better than the ISAR (area under the receiver operating characteristic curve 0.84 vs 0.72; P < .001). The TaGA score also had excellent interrater reliability (intraclass correlation coefficient = 0.92, 95% CI=0.87-0.95). Mean TaGA administration time was 9.5 ± 2.2 minutes.
CONCLUSION: The study presents evidence supporting the TaGA's validity and reliability. This instrument may be a practical and efficient approach to screening geriatric syndromes in fast-paced healthcare settings. Future research should investigate its predictive value and effect on care.
© 2018, Copyright the Authors Journal compilation © 2018, The American Geriatrics Society.

Entities:  

Keywords:  acute care; comprehensive geriatric assessment; consensus; screening tool; validation

Mesh:

Year:  2018        PMID: 29473941     DOI: 10.1111/jgs.15303

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  8 in total

1.  A 10-min Targeted Geriatric Assessment Predicts Mortality in Fast-Paced Acute Care Settings: A Prospective Cohort Study.

Authors:  M J R Aliberti; K E Covinsky; D Apolinario; S J Lee; S Q Fortes-Filho; J A Melo; S S C Viana; C K Suemoto; W Jacob-Filho
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  Development and validation of predictive model for long-term hospitalization, readmission, and in-hospital death of patients over 60 years old.

Authors:  Maria Luiza Monteiro Costa; Ana Carolina Cintra Nunes Mafra; Maysa Seabra Cendoroglo; Patrícia Silveira Rodrigues; Milene Silva Ferreira; Stephanie A Studenski; Fábio Gazelato de Mello Franco
Journal:  Einstein (Sao Paulo)       Date:  2022-06-17

Review 3.  Inpatient Management of T2DM and Hyperglycemia in Older Adults.

Authors:  Kristen DeCarlo; Amisha Wallia
Journal:  Curr Diab Rep       Date:  2019-09-14       Impact factor: 4.810

4.  Pain and Inflammation Management in Older Adults: A Brazilian Consensus of Potentially Inappropriate Medication and Their Alternative Therapies.

Authors:  Fabiane Raquel Motter; Sarah Nicole Hilmer; Vera Maria Vieira Paniz
Journal:  Front Pharmacol       Date:  2019-12-02       Impact factor: 5.810

5.  Geriatric Health Charts for Individual Assessment and Prediction of Care Needs: A Population-Based Prospective Study.

Authors:  Giola Santoni; Amaia Calderón-Larrañaga; Davide L Vetrano; Anna-Karin Welmer; Nicola Orsini; Laura Fratiglioni
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-01-01       Impact factor: 6.053

Review 6.  Understanding Frailty Screening: a Domain Mapping Exercise.

Authors:  Jill K Van Damme; Kassandra Lemmon; Mark Oremus; Elena Neiterman; Paul Stolee
Journal:  Can Geriatr J       Date:  2021-06-01

7.  The Evolving Landscape of the Geriatric Cardiology Field in Brazil: New Challenges for a New World.

Authors:  Caio de Assis Moura Tavares; André Feitosa Wanderley Cavalcanti; Wilson Jacob Filho
Journal:  Arq Bras Cardiol       Date:  2020 May-Jun       Impact factor: 2.000

8.  Prospective GERiatric Observational (ProGERO) study: cohort design and preliminary results.

Authors:  Marcos Daniel Saraiva; Luís Fernando Rangel; Julia Lusis Lassance Cunha; Thereza Cristina Ariza Rotta; Christian Douradinho; Eugênia Jatene Bou Khazaal; Márlon Juliano Romero Aliberti; Thiago Junqueira Avelino-Silva; Daniel Apolinario; Claudia Kimie Suemoto; Wilson Jacob-Filho
Journal:  BMC Geriatr       Date:  2020-10-27       Impact factor: 3.921

  8 in total

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