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NEWCOURTLAND CENTER FOR TRANSITIONS AND HEALTH University of Pennsylvania School of Nursing. Comorbidities in the Context of Care Transitions. Janet H. Van Cleave, PhD, MBA, MSN, ACNP-BC Harleah G Buck, PhD, RN, CHPN Susan Lysaght, MA, MS, GNP-BC Melissa O’Connor, PhD, MBA, RN, COS-C
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NEWCOURTLAND CENTER FOR TRANSITIONS AND HEALTH University of Pennsylvania School of Nursing Comorbidities in the Context of Care Transitions • Janet H. Van Cleave, PhD, MBA, MSN, ACNP-BC • Harleah G Buck, PhD, RN, CHPN • Susan Lysaght, MA, MS, GNP-BC • Melissa O’Connor, PhD, MBA, RN, COS-C • Mary D. Naylor, PhD, RN, FAAN
Support • University of Pennsylvania School of Nursing NewCourtlandCenter for Transitions and Health • University of Pennsylvania Pre and Post-Doctoral Fellowships, National Institutes of Health, T32NR009356, Individualized Care for At-Risk Older Adults • John A. Hartford Foundation Building Academic Geriatric Nursing Capacity Program
NewCourtland Center Comorbidity Research Teams Evolutionary Dimensional Analysis Rebecca Trotta (Chair) Janet Van Cleave (Co-Chair) Susan Lysaught Melinda Steis Becky Lorenz Sarah Kagan-Expert Consultant • Salimah Meghani (Chair) • Leah Buck • EeeseungByun • Joan Davitt • Michael Fachko • Melissa O’Connor • Janet Prvu Bettger • Minkyoung Song • Christine Tocchi
Comorbidity is a Significant Health Problem • Individuals with comorbidities • 28% of Americans • 3 out of 4 individuals over the age 65 • Increasing number of persons living with comorbidities • 1987: 31% Medicare beneficiaries with 5 or more comorbidities • 2002: ~50% of all Medicare beneficiaries with 5 or more comorbidities (Anderson, 2010; MedPAC, 2010; U.S. Dept Health & Human Services, 2010)
Comorbidities Financially Challenge the Health Care System • Driving force of the United States health care spending • Individuals with comorbidities account for: • 98% of Medicare costs • Over 60% of total health care expenditures • Expenditures increase with each additional comorbidity (Anderson, 2010; U. S. Dept of Health & Human Services, 2010)
Comorbidities Medically Challenge the Health Care System • Increase mortality and limit function • Inappropriate care unaligned with patient’s goals and preferences • Fractured care in multiple health care sites (NQF, 2012; Dept of Health & Human Services, 2010)
Need for Research • U.S. Department of Health and Human Services. Multiple Chronic Conditions—A Strategic Framework: Optimum Health and Quality of Life for Individuals with Multiple Chronic Conditions. Washington, DC. December 2010. • Goal 4: Need for research to benefit individuals with comorbidities • Advance knowledge • Develop interventions • Develop systems
What is Comorbidity? • Multiple terms used in health care to describe comorbidity(ies) • Multiple outcomes • Temporal components (Feinstein, 1970; Yancik et al., 2007; Vogeli et al., 2007; Wolff, Starfield, & Anderson, 2002; Karlamangla et al., 2007; Weiss, 2007)
Research Question • What is the definition of comorbidity(ies) • Chronically ill adults • Transitioning through acute episodes of illness
Today’s Symposium • The Science of Comorbidities: Current Quandaries and Future Recommendations • Concept Analyses • Empirical Article Selection for Concept Analysis • Dimensional Analysis: Comorbidities in the Face of Transitions • Evolutionary Analysis: Comorbidity in Patients Undergoing Transitions • Closing Remarks
Empirical Article Selection for Concept Analysis of Patients with Comorbidities Undergoing Care Transitions Janet H. Van Cleave1 Harleah G. Buck2 Salimah Meghani3 Janet Prvu-Bettger4 Mary D. Naylor3 1New York University, 2Pennsylvania State University, 3University of Pennsylvania, 4Duke University
Purpose • Decisions regarding search strategies and article selection influence concept analysis findings and impact knowledge development • Careful planning and explicit criteria decrease the potential to introduce study bias • The purpose of this presentation is to describe our methods to capture a heterogeneous, representative body of empirical literature for two concept analyses
Literature Search • Goal: Transparent literature search • Preliminary literature searches • Developed and finalized literature search syntax Buck, H.G., Meghani, S., Bettger, J.P. et al., 2012. The use of comorbidities among adults experiencing care transitions: a systematic review and evolutionary analysis of empirical literature. Chronic Illness.
Initial Inclusion Criteria • Years of publication: 1965-present • Age: Adults 19+ • Human • English language • Research Articles • Transition: There should be an acute event with at least one transition from high to low or low to high acuity care. • United States (both VA and non-VA)
Literature Search • Four databases • Medline • Cinahl • PsycINFO • Web of Science - Social Science • Uploaded into Refworks • 5,917 references
Representative Heterogeneous Database • Random selection of 650 articles (50 articles per working group member) • Review articles according to inclusion criteria
Initial Review • Selected 98 articles • Refinement of definition of transition
Refinement of Parameters of Transitions • An acute episode of chronic illness with at least one transition • Transitional settings (i.e., in the context of low to high acuity or high to low acuity care) • Related variables directly or indirectly accounted for in the analysis of transitional outcomes (cost, re-hospitalization, functional status, and QOL)
Continued Review of Articles • Final review for uniformity and fidelity to inclusion criteria • Final database: 60 articles
Empirical Articles • Published between 1990 and 2009
Empirical Articles • 33 (55%) addressed higher to lower acuity transitions • 27 (45%) featured lower to higher acuity transitions
New Approaches • Patient focused • Loss of the voice of the individual • Individual experience • Measuring risk for individuals • Predict or explain outcomes on individual, disease, and system levels • Risk over time • Co-existing vs. co-occurring
New Approaches • Relationships • Among comorbidities • Among individuals, comorbidities, and consequences • Complexity • Synergism vs. relative importance vs. patterns • Number, nature, and extent
New Approaches • Importance of terminology • Nosology • Principality • Dynamicity
Questions Thank you NEWCOURTLAND CENTER FOR TRANSITIONS AND HEALTH University of Pennsylvania School of Nursing