Propensity Scoring: An Overview With a Model and Examples From a Nursing Outcomes Effectiveness Study

2.50
Hdl Handle:
http://hdl.handle.net/10755/158996
Type:
Presentation
Title:
Propensity Scoring: An Overview With a Model and Examples From a Nursing Outcomes Effectiveness Study
Abstract:
Propensity Scoring: An Overview With a Model and Examples From a Nursing Outcomes Effectiveness Study
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2007
Author:Titler, Marita, PhD, FAAN
P.I. Institution Name:The University of Iowa Hospitals and Clinics
Contact Address:Dept. of Nursing Services & Patient Care - Central Nursing Office, GH, Iowa City, IA, 52242, USA
Co-Authors:L.L. Shever, R. Qin, D.M. Picone, and T. Kim, , Nursing Interventions and Outcomes Effectiveness in 3 Older Patient Populations, Iowa City, IA and P. Kerr, The University of Iowa College of Nursing, Iowa City, IA
Purpose: The purpose of this paper is to describe the use of propensity scoring in nursing outcomes effectiveness research. This statistical method, applicable for large data set analysis, was used to determine the unique contributions of nursing interventions (e.g. Pain Management) to patient outcomes (e.g. length of stay) for hospitalized older adults. This paper will describe the benefits and challenges of using this statistical approach. Subjects: Hospitalizations (N=568) of patients > 60 years of age from a large academic medical center with a principal diagnosis related to hip fracture. Methods: Data extracted from electronic medial records were used to build an outcomes effectiveness data set. Propensity scoring was used to determine the unique contribution of the nursing intervention Pain Management upon length of stay. Pain Management was dichotomized (0 = never received and 1 = received at least once) and first treated as the dependent variable. Independent variables were then selected based on their conceptual relationships to Pain Management and length of stay to calculate a propensity score. The propensity score was then used as a control variable in a subsequent regression analysis to demonstrate the unique contribution of Pain Management on length of stay. Other approaches to the use of propensity scoring such as a matching and stratification will be discussed as well as issues and challenges encountered by the research team. Findings: Pain Management was significantly (p-value = 0.0211) related to length of stay after controlling for the variables that were conceptually thought to influence whether or not a hospitalization received Pain Management. The findings indicate that delivering Pain Management during hospitalization roughly doubled the length of stay, compared to hospitalizations that never received Pain Management in this hip fracture patient group. Conclusion: The use of Pain Management effects length of stay in hospitalizations of older adults with a hip fracture. Propensity scoring is a useful methodology to understand the unique contribution of specific nursing treatments to patient outcomes. This research was supported by a grant from NIH (PI: Titler. NINR R01 NR05331).
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePropensity Scoring: An Overview With a Model and Examples From a Nursing Outcomes Effectiveness Studyen_GB
dc.identifier.urihttp://hdl.handle.net/10755/158996-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Propensity Scoring: An Overview With a Model and Examples From a Nursing Outcomes Effectiveness Study</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Titler, Marita, PhD, FAAN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">The University of Iowa Hospitals and Clinics</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">Dept. of Nursing Services &amp; Patient Care - Central Nursing Office, GH, Iowa City, IA, 52242, USA</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">marita-titler@uiowa.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">L.L. Shever, R. Qin, D.M. Picone, and T. Kim, , Nursing Interventions and Outcomes Effectiveness in 3 Older Patient Populations, Iowa City, IA and P. Kerr, The University of Iowa College of Nursing, Iowa City, IA</td></tr><tr><td colspan="2" class="item-abstract">Purpose: The purpose of this paper is to describe the use of propensity scoring in nursing outcomes effectiveness research. This statistical method, applicable for large data set analysis, was used to determine the unique contributions of nursing interventions (e.g. Pain Management) to patient outcomes (e.g. length of stay) for hospitalized older adults. This paper will describe the benefits and challenges of using this statistical approach. Subjects: Hospitalizations (N=568) of patients &gt; 60 years of age from a large academic medical center with a principal diagnosis related to hip fracture. Methods: Data extracted from electronic medial records were used to build an outcomes effectiveness data set. Propensity scoring was used to determine the unique contribution of the nursing intervention Pain Management upon length of stay. Pain Management was dichotomized (0 = never received and 1 = received at least once) and first treated as the dependent variable. Independent variables were then selected based on their conceptual relationships to Pain Management and length of stay to calculate a propensity score. The propensity score was then used as a control variable in a subsequent regression analysis to demonstrate the unique contribution of Pain Management on length of stay. Other approaches to the use of propensity scoring such as a matching and stratification will be discussed as well as issues and challenges encountered by the research team. Findings: Pain Management was significantly (p-value = 0.0211) related to length of stay after controlling for the variables that were conceptually thought to influence whether or not a hospitalization received Pain Management. The findings indicate that delivering Pain Management during hospitalization roughly doubled the length of stay, compared to hospitalizations that never received Pain Management in this hip fracture patient group. Conclusion: The use of Pain Management effects length of stay in hospitalizations of older adults with a hip fracture. Propensity scoring is a useful methodology to understand the unique contribution of specific nursing treatments to patient outcomes. This research was supported by a grant from NIH (PI: Titler. NINR R01 NR05331).</td></tr></table>en_GB
dc.date.available2011-10-26T21:36:04Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:36:04Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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