Literature DB >> 12795276

Predictors of older adults' capacity for medication management in a self-medication program: a retrospective chart review.

Sheri L Maddigan1, Karen B Farris, Norah Keating, Cheryl A Wiens, Jeffrey A Johnson.   

Abstract

UNLABELLED: The aim of this project was to identify variables that predicted older adults' ability to manage medications.
METHODS: The study used a retrospective cohort design and was set in a self-medication program within a rehabilitation hospital. A random sample of charts from 301 participants in the self-medication program was reviewed.
RESULTS: Logistic regression models accounted for 26.7% and 55.8% of the variance in the probability of making one or more self-medication errors during the initial and final weeks of the program, respectively. The importance of cognition in predicting medication management capacity was seen in bivariate and multivariate analyses and through a number of interactions with other predictors. Statistically significant predictors in one or both analyses included medication regimen complexity, Mini-Mental State Exam (MMSE) score, duration of institutionalization, depression, and interactions between (a) medication regimen complexity and MMSE score and (b) ability to cook and MMSE score. DISCUSSION: The direct effects of cognition and medication regimen complexity were important predictors of medication management capacity.

Entities:  

Mesh:

Year:  2003        PMID: 12795276     DOI: 10.1177/0898264303251893

Source DB:  PubMed          Journal:  J Aging Health        ISSN: 0898-2643


  35 in total

1.  Acceptability and face validity of a geriatric self-medication assessment tool.

Authors:  Janice Irvine-Meek; Odette N Gould; Hannah Wheaton; Laura E Todd
Journal:  Can J Hosp Pharm       Date:  2010-05

2.  Medication management capacity in relation to cognition and self-management skills in older people on polypharmacy.

Authors:  C G M Sino; M Sietzema; T C G Egberts; M J Schuurmans
Journal:  J Nutr Health Aging       Date:  2014-01       Impact factor: 4.075

3.  Impact of an intervention to reduce medication regimen complexity for older hospital inpatients.

Authors:  Rohan A Elliott; Christopher O'Callaghan; Eldho Paul; Johnson George
Journal:  Int J Clin Pharm       Date:  2012-12-05

4.  Psychometric evaluation of a self-medication assessment tool in an elderly population.

Authors:  Janice M Irvine-Meek; Odette N Gould
Journal:  Can J Hosp Pharm       Date:  2011-01

5.  A New Method of Identifying Characteristics of Needing Help to Take Medications in an Older Representative Community-Dwelling Population: The Older Adults Medication Assist Scale.

Authors:  Brenda D Jamerson; Gerda G Fillenbaum; Richard Sloane; Miriam C Morey
Journal:  J Am Geriatr Soc       Date:  2016-06       Impact factor: 5.562

Review 6.  Assessment of the elderly's functional ability to manage their medication: a systematic literature review.

Authors:  Ana Margarida Advinha; Manuel José Lopes; Sofia de Oliveira-Martins
Journal:  Int J Clin Pharm       Date:  2016-12-10

Review 7.  Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research.

Authors:  Jeremiah W Bertz; David H Epstein; Kenzie L Preston
Journal:  Addict Behav       Date:  2017-11-16       Impact factor: 3.913

8.  Predictors of medication self-management skill in a low-literacy population.

Authors:  Sunil Kripalani; Laura E Henderson; Ellen Y Chiu; Rashanda Robertson; Paul Kolm; Terry A Jacobson
Journal:  J Gen Intern Med       Date:  2006-08       Impact factor: 5.128

Review 9.  Measuring Medication Self-Management Capacity: A Scoping Review of Available Instruments.

Authors:  Amal M Badawoud; Teresa M Salgado; Juan Lu; Pamela Parsons; Emily P Peron; Patricia W Slattum
Journal:  Drugs Aging       Date:  2020-07       Impact factor: 3.923

10.  Identifying Care Coordination Interventions Provided to Community-Dwelling Older Adults Using Electronic Health Records.

Authors:  Tae Youn Kim; Karen D Marek; Amy Coenen
Journal:  Comput Inform Nurs       Date:  2016-07       Impact factor: 1.985

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