Literature DB >> 16268844

Preparing a large data set for analysis: using the minimum data set to study perineal dermatitis.

Kay Savik1, Qiao Fan, Donna Bliss, Susan Harms.   

Abstract

AIM: The aim of this paper is to present a practical example of preparing a large set of Minimum Data Set records for analysis, operationalizing Minimum Data Set items that defined risk factors for perineal dermatitis, our outcome variable.
BACKGROUND: Research with nursing home elders remains a vital need as 'baby boomers' age. Conducting research in nursing homes is a daunting task. The Minimum Data Set is a standardized instrument used to assess many aspects of a nursing home resident's functional capability. United States Federal Regulations require a Minimum Data Set assessment of all nursing home residents. These large data would be a useful resource for research studies, but need to be extensively refined for use in most statistical analyses. Although fairly comprehensive, the Minimum Data Set does not provide direct measures of all clinical outcomes and variables of interest.
METHOD: Perineal dermatitis is not directly measured in the Minimum Data Set. Additional information from prescribers' (physician and nurse) orders was used to identify cases of perineal dermatitis. The following steps were followed to produce Minimum Data Set records appropriate for analysis: (1) identification of a subset of Minimum Data Set records specific to the research, (2) identification of perineal dermatitis cases from the prescribers' orders, (3) merging of the perineal dermatitis cases with the Minimum Data Set data set, (4) identification of Minimum Data Set items used to operationalize the variables in our model of perineal dermatitis, (5) determination of the appropriate way to aggregate individual Minimum Data Set items into composite measures of the variables, (6) refinement of these composites using item analysis and (7) assessment of the distribution of the composite variables and need for transformations to use in statistical analysis.
RESULTS: Cases of perineal dermatitis were successfully identified and composites were created that operationalized a model of perineal dermatitis.
CONCLUSION: Following these steps resulted in a data set where data analysis could be pursued with confidence. Incorporating other sources of data, such as prescribers' orders, extends the usefulness of the Minimum Data Set for research use.

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Mesh:

Year:  2005        PMID: 16268844     DOI: 10.1111/j.1365-2648.2005.03604.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  11 in total

1.  Incidence and Predictors of Incontinence-Associated Skin Damage in Nursing Home Residents With New-Onset Incontinence.

Authors:  Donna Z Bliss; Michelle A Mathiason; Olga Gurvich; Kay Savik; Lynn E Eberly; Jessica Fisher; Kjerstie R Wiltzen; Haley Akermark; Amanda Hildebrandt; Megan Jacobson; Taylor Funk; Amanda Beckman; Reed Larson
Journal:  J Wound Ostomy Continence Nurs       Date:  2017 Mar/Apr       Impact factor: 1.741

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

Authors:  Anna M Toth; Donna Z Bliss; Kay Savik; Jean F Wyman
Journal:  J Gerontol Nurs       Date:  2008-05       Impact factor: 1.254

3.  Are there racial-ethnic disparities in time to pressure ulcer development and pressure ulcer treatment in older adults after nursing home admission?

Authors:  Donna Z Bliss; Olga Gurvich; Kay Savik; Lynn E Eberly; Susan Harms; Christine Mueller; Jean F Wyman; Judith Garrard; Beth Virnig
Journal:  J Aging Health       Date:  2014-09-25

4.  Racial and Ethnic Disparities in Time to Cure of Incontinence Present at Nursing Home Admission.

Authors:  Donna Z Bliss; Olga Gurvich; Kay Savik; Lynn E Eberly; Susan Harms; Jean F Wyman
Journal:  J Health Dispar Res Pract       Date:  2014

5.  Prevention of Incontinence-Associated Skin Damage in Nursing Homes.

Authors:  Donna Z Bliss; Olga V Gurvich; Michelle A Mathiason; Lynn E Eberly; Kay Savik; Susan Harms; Christine Mueller; Jean F Wyman; Beth Virnig
Journal:  West J Nurs Res       Date:  2016-09-01       Impact factor: 1.967

6.  Racial and ethnic disparities in the healing of pressure ulcers present at nursing home admission.

Authors:  Donna Z Bliss; Olga Gurvich; Kay Savik; Lynn E Eberly; Susan Harms; Christine Mueller; Judith Garrard; Kristen Cunanan; Kjerstie Wiltzen
Journal:  Arch Gerontol Geriatr       Date:  2017-06-27       Impact factor: 3.250

7.  Prevalence of incontinence by race and ethnicity of older people admitted to nursing homes.

Authors:  Donna Z Bliss; Susan Harms; Judith M Garrard; Kristen Cunanan; Kay Savik; Olga Gurvich; Christine Mueller; Jean F Wyman; Lynn E Eberly; Beth Virnig
Journal:  J Am Med Dir Assoc       Date:  2013-04-24       Impact factor: 4.669

8.  Racial disparities in primary prevention of incontinence among older adults at nursing home admission.

Authors:  Donna Z Bliss; Olga V Gurvich; Lynn E Eberly; Kay Savik; Susan Harms; Jean F Wyman; Christine Mueller; Beth Virnig; Kjerstie Wiltzen
Journal:  Neurourol Urodyn       Date:  2016-07-04       Impact factor: 2.696

9.  Analysis of Racial and Ethnic Disparities as Possible Risk Factors for Development of Incontinence by Nursing Home Residents.

Authors:  Donna Z Bliss; Olga V Gurvich; Kay Savik; Lynn E Eberly; Susan Harms; Jean F Wyman; Christine Mueller; Judith Garrard; Beth Virnig
Journal:  Res Nurs Health       Date:  2015-09-04       Impact factor: 2.228

10.  Using a Data Quality Framework to Clean Data Extracted from the Electronic Health Record: A Case Study.

Authors:  Oliwier Dziadkowiec; Tiffany Callahan; Mustafa Ozkaynak; Blaine Reeder; John Welton
Journal:  EGEMS (Wash DC)       Date:  2016-06-24
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