Literature DB >> 18512629

Validating MDS data about risk factors for perineal dermatitis by comparing with nursing home records.

Anna M Toth1, Donna Z Bliss, Kay Savik, Jean F Wyman.   

Abstract

Perineal dermatitis is one of the main complications of incontinence and increases the cost of health care. The Minimum Data Set (MDS) contains data about factors associated with perineal dermatitis identified in a published conceptual model of perineal dermatitis. The purpose of this study was to determine the validity of MDS data related to perineal dermatitis risk factors by comparing them with data in nursing home chart records. Findings indicate that MDS items defining factors associated with perineal dermatitis were valid and supported use of the MDS in further investigation of a significant, costly, and understudied health problem of nursing home residents.

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Year:  2008        PMID： 18512629      PMCID： PMC4550208          DOI： 10.3928/00989134-20080501-10

Source DB:  PubMed          Journal:  J Gerontol Nurs        ISSN： 0098-9134            Impact factor:   1.254


  14 in total

1.  Falls documentation in nursing homes: agreement between the minimum data set and chart abstractions of medical and nursing documentation.

Authors:  Elizabeth E Hill-Westmoreland; Ann L Gruber-Baldini
Journal:  J Am Geriatr Soc       Date:  2005-02       Impact factor: 5.562

2.  Prevalence and correlates of perineal dermatitis in nursing home residents.

Authors:  Donna Zimmaro Bliss; Kay Savik; Susan Harms; Qiao Fan; Jean F Wyman
Journal:  Nurs Res       Date:  2006 Jul-Aug       Impact factor: 2.381

3.  Estimating the cognitive ability of nursing home residents from the minimum data set.

Authors:  J Cohen-Mansfield; L Taylor; D McConnell; D Horton
Journal:  Outcomes Manag Nurs Pract       Date:  1999 Jan-Mar

4.  Perineal dermatitis: a conceptual framework.

Authors:  D S Brown; M Sears
Journal:  Ostomy Wound Manage       Date:  1993-09       Impact factor: 2.629

5.  Annual direct cost of urinary incontinence.

Authors:  L Wilson; J S Brown; G P Shin; K O Luc; L L Subak
Journal:  Obstet Gynecol       Date:  2001-09       Impact factor: 7.661

6.  The validity of the minimum data set in measuring the cognitive impairment of persons admitted to nursing homes.

Authors:  A L Gruber-Baldini; S I Zimmerman; E Mortimore; J Magaziner
Journal:  J Am Geriatr Soc       Date:  2000-12       Impact factor: 5.562

7.  Psychometric characteristics of the minimum data set I: confirmatory factor analysis.

Authors:  R Casten; M P Lawton; P A Parmelee; M H Kleban
Journal:  J Am Geriatr Soc       Date:  1998-06       Impact factor: 5.562

8.  Psychometric characteristics of the minimum data set II: validity.

Authors:  M P Lawton; R Casten; P A Parmelee; K Van Haitsma; J Corn; M H Kleban
Journal:  J Am Geriatr Soc       Date:  1998-06       Impact factor: 5.562

9.  The minimum data set urinary incontinence quality indicators: do they reflect differences in care processes related to incontinence?

Authors:  John F Schnelle; Mary P Cadogan; June Yoshii; Nahla R Al-Samarrai; Dan Osterweil; Barbara M Bates-Jensen; Sandra F Simmons
Journal:  Med Care       Date:  2003-08       Impact factor: 2.983

10.  The adequacy of the minimum data set assessment of pain in cognitively impaired nursing home residents.

Authors:  Jiska Cohen-Mansfield
Journal:  J Pain Symptom Manage       Date:  2004-04       Impact factor: 3.612
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  1 in total

1.  Infection Trends in US Nursing Homes, 2006-2013.

Authors:  Carolyn T A Herzig; Andrew W Dick; Mark Sorbero; Monika Pogorzelska-Maziarz; Catherine C Cohen; Elaine L Larson; Patricia W Stone
Journal:  J Am Med Dir Assoc       Date:  2017-05-25       Impact factor: 4.669
  1 in total

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