Literature DB >> 24630068

Finding Gertrude: The resident's voice in Minimum Data Set 3.0.

Kali S Thomas1, Andrea Wysocki2, Orna Intrator3, Vincent Mor4.   

Abstract

PURPOSE: The new Minimum Data Set 3.0 was designed to improve the assessment process by requiring nursing home (NH) staff to attempt to interview residents with scripted questions to assess subjective states such as pain, mood, and cognitive functioning. Although the case has been made that resident self-report is important, it is unknown whether facilities are doing so in practice. We examined the frequency of attempts to interview residents to elucidate the types of residents able to be interviewed about their clinical conditions and facility characteristics related to the likelihood of attempt. DESIGN AND METHODS: Data come from Minimum Data Set 3.0 annual assessments for 757,044 residents in 15,030 NHs during 2011-2012 and the 2011 Online Survey, Certification, and Reporting database. Hierarchical generalized linear models were conducted to test the association between resident and facility characteristics and the attempt rate of resident interview for 3 clinical domains (cognition, mood, and pain).
RESULTS: Over 83% of long-stay residents attempted all 3 self-report clinical items. The rates of attempt for mood, cognition, and pain were 88%, 89%, and 92%, respectively. Results from hierarchical generalized linear models suggest that certain resident characteristics are related to the likelihood of participating in interviews, in particular neither having a diagnosis of dementia nor cognitive impairment, not exhibiting signs of delirium, nor a documented prognosis of 6 months or less to live. Residents in smaller, chain-affiliated nursing homes with fewer Medicare residents and fewer assessments per administrative nurse and registered nurse were more likely to attempt the resident interview items. IMPLICATIONS: This article documents the high rate of NH residents' participation in interviews about their clinical states. Furthermore, we identify types of residents for whom additional investigation into ways to achieve higher rates of participation is required and facility resources that are related to the likelihood of high rates of attempt.

Entities:  

Keywords:  MDS; Nursing home; long term care

Mesh:

Year:  2014        PMID: 24630068      PMCID: PMC4161657          DOI: 10.1016/j.jamda.2014.01.012

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


  18 in total

1.  Assessment of dementia in nursing home residents by nurses and assistants: criteria validity and determinants.

Authors:  L Sørensen; A Foldspang; N C Gulmann; P Munk-Jørgensen
Journal:  Int J Geriatr Psychiatry       Date:  2001-06       Impact factor: 3.485

2.  Overview of significant changes in the Minimum Data Set for nursing homes version 3.0.

Authors:  Debra Saliba; Malia Jones; Joel Streim; Joseph Ouslander; Dan Berlowitz; Joan Buchanan
Journal:  J Am Med Dir Assoc       Date:  2012-07-10       Impact factor: 4.669

3.  The National Nursing Home Survey: 2004 overview.

Authors:  Adrienne L Jones; Lisa L Dwyer; Anita R Bercovitz; Genevieve W Strahan
Journal:  Vital Health Stat 13       Date:  2009-06

4.  MDS 3.0: brief interview for mental status.

Authors:  Debra Saliba; Joan Buchanan; Maria Orlando Edelen; Joel Streim; Joseph Ouslander; Dan Berlowitz; Joshua Chodosh
Journal:  J Am Med Dir Assoc       Date:  2012-07-15       Impact factor: 4.669

5.  Making the investment count: revision of the Minimum Data Set for nursing homes, MDS 3.0.

Authors:  Debra Saliba; Joan Buchanan
Journal:  J Am Med Dir Assoc       Date:  2012-07-13       Impact factor: 4.669

6.  Functional assessment of the elderly. A comparison of standard instruments with clinical judgment.

Authors:  E M Pinholt; K Kroenke; J F Hanley; M J Kussman; P L Twyman; J L Carpenter
Journal:  Arch Intern Med       Date:  1987-03

7.  Measuring pain presence and intensity in nursing home residents.

Authors:  Wen-Chieh Lin; Terry Y Lum; David R Mehr; Robert L Kane
Journal:  J Am Med Dir Assoc       Date:  2005-11-23       Impact factor: 4.669

8.  Physician recognition of cognitive impairment: evaluating the need for improvement.

Authors:  Joshua Chodosh; Diana B Petitti; Marc Elliott; Ron D Hays; Valerie C Crooks; David B Reuben; J Galen Buckwalter; Neil Wenger
Journal:  J Am Geriatr Soc       Date:  2004-07       Impact factor: 5.562

9.  Preliminary derivation of a Nursing Home Confusion Assessment Method based on data from the Minimum Data Set.

Authors:  David Dosa; Orna Intrator; Lynn McNicoll; Yuwei Cang; Joan Teno
Journal:  J Am Geriatr Soc       Date:  2007-07       Impact factor: 5.562

10.  Testing the PHQ-9 interview and observational versions (PHQ-9 OV) for MDS 3.0.

Authors:  Debra Saliba; Suzanne DiFilippo; Maria Orlando Edelen; Kurt Kroenke; Joan Buchanan; Joel Streim
Journal:  J Am Med Dir Assoc       Date:  2012-07-15       Impact factor: 4.669

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  18 in total

1.  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

2.  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

3.  [Resident assessment instrument. Application options and relevance for Germany].

Authors:  Christian Grebe; Hermann Brandenburg
Journal:  Z Gerontol Geriatr       Date:  2015-02-13       Impact factor: 1.281

4.  Important Care and Activity Preferences in a Nationally Representative Sample of Nursing Home Residents.

Authors:  Tonya J Roberts; Andrea Gilmore-Bykovskyi; Maichou Lor; Daniel Liebzeit; Christopher J Crnich; Debra Saliba
Journal:  J Am Med Dir Assoc       Date:  2017-08-23       Impact factor: 4.669

5.  Development and Validation of the Nursing Home Minimum Data Set 3.0 Mortality Risk Score (MRS3).

Authors:  Kali S Thomas; Jessica A Ogarek; Joan M Teno; Pedro L Gozalo; Vincent Mor
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-01-16       Impact factor: 6.053

6.  Cognitive Impairment and Pain Among Nursing Home Residents With Cancer.

Authors:  Catherine E Dubé; Deborah S Mack; Jacob N Hunnicutt; Kate L Lapane
Journal:  J Pain Symptom Manage       Date:  2018-02-26       Impact factor: 3.612

7.  Representation in the Care Planning Process for Nursing Home Residents With Dementia.

Authors:  Ellen McCreedy; Lacey Loomer; Jennifer A Palmer; Susan L Mitchell; Angelo Volandes; Vincent Mor
Journal:  J Am Med Dir Assoc       Date:  2018-03-10       Impact factor: 4.669

8.  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

9.  Cancer Pain in Relation to Metropolitan Area Segregation and Nursing Home Racial and Ethnic Composition.

Authors:  Bill M Jesdale; Deborah S Mack; Sarah N Forrester; Kate L Lapane
Journal:  J Am Med Dir Assoc       Date:  2020-03-26       Impact factor: 4.669

10.  How to ask: Surveying nursing directors of nursing homes.

Authors:  Jessica A R Williams; Mary G Vriniotis; Daniel A Gundersen; Leslie I Boden; Jamie E Collins; Jeffrey N Katz; Gregory R Wagner; Glorian Sorensen
Journal:  Health Sci Rep       Date:  2021-06-04
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