Literature DB >> 22796362

MDS 3.0: brief interview for mental status.

Debra Saliba1, Joan Buchanan, Maria Orlando Edelen, Joel Streim, Joseph Ouslander, Dan Berlowitz, Joshua Chodosh.   

Abstract

OBJECTIVES: To test the feasibility and validity of the Brief Interview for Mental Status (BIMS) as a performance-based cognitive screener that could be easily completed by nursing home staff. The current study examines the performance of the BIMS as part of the national testing of the Minimum Data Set 3.0 (MDS 3.0) for Nursing Homes.
METHODS: The BIMS was tested as part of the national MDS 3.0 evaluation study among 3822 residents scheduled for MDS 2.0 assessments. Residents were from 71 community nursing homes (NHs) in eight states. Residents were randomly included in a feasibility sample (n = 3258) and a validation sample (n = 418). Cognition was assessed with three instruments: the Brief Interview for Mental Status (BIMS), the MDS 2.0 Cognitive Performance Scale (CPS), and the Modified Mini-Mental State Examination (3MS). Trained research nurses administered the 3MS and BIMS to all subjects in the validation study. The CPS score was determined based on the MDS 2.0 completed by nursing home staff who had undergone additional training on cognitive testing. Standard cutoff scores on the 100-point 3MS were used as the gold standard for any cognitive impairment (<78) and for severe impairment (<48). Staff impressions were obtained from anonymous surveys.
RESULTS: The BIMS was attempted and completed in 90% of the 3258 residents in the feasiblity sample. BIMS scores covered the full instrument range (0-15). In the validation sample, correlation with the criterion measure (3MS) was higher for BIMS (0.906, P < .0001) than for CPS (-0.739, P < .0001); P < .01 for difference. For identifying any impairment, a BIMS score of 12 had sensitivity = 0.83 and specificity = 0.91; for severe impairment, a BIMS score of 7 had sensitivity = 0.83 and specificity = 0.92. The area under the receiver operator characteristics curve, a measure of test accuracy, was higher for BIMS than for CPS for identifying any impairment (AUC = 0.930 and 0.824, respectively) and for identifying severe impairment (AUC = 0.960 and 0.857, respectively). Eighty-eight percent of survey respondents reported that the BIMS provided new insight into residents' cognitive abilities. The average time for completing the BIMS was 3.2 minutes. DISCUSSION: The BIMS, a short performance-based cognitive screener expressly designed to facilitate cognitive screening in MDS assessments, was completed in the majority of NH residents scheduled for MDS assessments in a large sample of NHs, demonstrating its feasibility. Compared with MDS 2.0 observational items, the BIMS performance-based assessment approach was more highly correlated with a criterion cognitive screening test and demonstrated greater accuracy. The majority of surveyed staff reported improved assessments with the new approach. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22796362     DOI: 10.1016/j.jamda.2012.06.004

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  77 in total

1.  Risk for Health Events After Deprescribing Acetylcholinesterase Inhibitors in Nursing Home Residents With Severe Dementia.

Authors:  Joshua D Niznik; Xinhua Zhao; Meiqi He; Sherrie L Aspinall; Joseph T Hanlon; Laura C Hanson; David Nace; Joshua M Thorpe; Carolyn T Thorpe
Journal:  J Am Geriatr Soc       Date:  2019-11-26       Impact factor: 5.562

2.  Nonmalignant Pain Symptom Subgroups in Nursing Home Residents.

Authors:  Christine M Ulbricht; Jacob N Hunnicutt; Giovanni Gambassi; Anne L Hume; Kate L Lapane
Journal:  J Pain Symptom Manage       Date:  2018-12-01       Impact factor: 3.612

3.  Pain and pharmacologic pain management in long-stay nursing home residents.

Authors:  Jacob N Hunnicutt; Christine M Ulbricht; Jennifer Tjia; Kate L Lapane
Journal:  Pain       Date:  2017-06       Impact factor: 6.961

4.  New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

Authors:  Kali S Thomas; Eric Boyd; Angela B Mariotto; Dolly C Penn; Michael J Barrett; Joan L Warren
Journal:  Med Care       Date:  2018-12       Impact factor: 2.983

5.  Racial and Ethnic Differences in the Prevalence of Depressive Symptoms Among U.S. Nursing Home Residents.

Authors:  Yue Li; Xueya Cai; Charlene Harrington; Michael Hasselberg; Yeates Conwell; Xi Cen; Helena Temkin-Greener
Journal:  J Aging Soc Policy       Date:  2018-07-12

6.  The Quality of Interactions Between Staff and Residents With Cognitive Impairment in Nursing Homes.

Authors:  Anju Paudel; Barbara Resnick; Elizabeth Galik
Journal:  Am J Alzheimers Dis Other Demen       Date:  2019-07-21       Impact factor: 2.035

7.  Skilled Nursing Facility Patients Discharged to Home Health Agency Services Spend More Days at Home.

Authors:  Adam Simning; Jessica Orth; Jinjiao Wang; Thomas V Caprio; Yue Li; Helena Temkin-Greener
Journal:  J Am Geriatr Soc       Date:  2020-04-15       Impact factor: 5.562

8.  Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

Authors:  Joshua D Niznik; Jacob N Hunnicutt; Xinhua Zhao; Maria K Mor; Florentina Sileanu; Sherrie L Aspinall; Sydney P Springer; Mary J Ersek; Walid F Gellad; Loren J Schleiden; Joseph T Hanlon; Joshua M Thorpe; Carolyn T Thorpe
Journal:  J Am Geriatr Soc       Date:  2020-02-17       Impact factor: 5.562

9.  The Minimum Data Set 3.0 Cognitive Function Scale.

Authors:  Kali S Thomas; David Dosa; Andrea Wysocki; Vincent Mor
Journal:  Med Care       Date:  2017-09       Impact factor: 2.983

10.  Who are they? Patients with heart failure in American skilled nursing facilities.

Authors:  Lin Li; Bill M Jesdale; Anne Hume; Giovanni Gambassi; Robert J Goldberg; Kate L Lapane
Journal:  J Cardiol       Date:  2017-10-28       Impact factor: 3.159

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.