The Complexity of Determining Whether a Nursing Home Transfer Is Avoidable at Time of Transfer

Kathleen Unroe, Jennifer L. Carnahan, Susan Hickman, Greg Sachs, Zachary Hass, Gregory Arling

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Objectives: To describe the relationship between nursing facility resident risk conditions and signs and symptoms at time of acute transfer and diagnosis of conditions associated with potentially avoidable acute transfers (pneumonia, urinary tract infection, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) or asthma, dehydration, pressure sores). Design: As part of a demonstration project to reduce potentially avoidable hospital transfers, Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project clinical staff collected data on residents who transferred to the emergency department (ED) or hospital. Cross-tabulations were used to identify associations between risk conditions or symptoms and hospital diagnoses or death. Mixed-effects logistic regression models were used to describe the significance of risk conditions, signs, or symptoms as predictors of potentially avoidable hospital diagnoses or death. Setting: Indiana nursing facilities (N=19). Participants: Long-stay nursing facility residents (N=1,174), who experienced 1,931 acute transfers from November 2014 to July 2016. Measurements: Participant symptoms, transfers, risk factors, and hospital diagnoses. Results: We found that 44% of acute transfers were associated with 1 of 6 potentially avoidable diagnoses. Symptoms before transfer did not discriminate well among hospital diagnoses. Symptoms mapped into multiple diagnoses and most hospital diagnoses had multiple associated symptoms. For example, more than two-thirds of acute transfers of residents with a history of CHF and COPD were for reasons other than exacerbations of those two conditions. Conclusion: Although it is widely recognized that many transfers of nursing facility residents are potentially avoidable, determining "avoidability" at time of transfer is complex. Symptoms and risk conditions were only weakly predictive of hospital diagnoses.

Original languageEnglish (US)
JournalJournal of the American Geriatrics Society
DOIs
StateAccepted/In press - Jan 1 2018

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Nursing Homes
Nursing
Chronic Obstructive Pulmonary Disease
Signs and Symptoms
Heart Failure
Logistic Models
Transfer Factor
Patient Transfer
Pressure Ulcer
Dehydration
Urinary Tract Infections
Hospital Emergency Service
Pneumonia
Asthma

Keywords

  • Avoidable hospitalizations
  • Nursing home
  • Transfers

ASJC Scopus subject areas

  • Geriatrics and Gerontology

Cite this

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title = "The Complexity of Determining Whether a Nursing Home Transfer Is Avoidable at Time of Transfer",
abstract = "Objectives: To describe the relationship between nursing facility resident risk conditions and signs and symptoms at time of acute transfer and diagnosis of conditions associated with potentially avoidable acute transfers (pneumonia, urinary tract infection, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) or asthma, dehydration, pressure sores). Design: As part of a demonstration project to reduce potentially avoidable hospital transfers, Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project clinical staff collected data on residents who transferred to the emergency department (ED) or hospital. Cross-tabulations were used to identify associations between risk conditions or symptoms and hospital diagnoses or death. Mixed-effects logistic regression models were used to describe the significance of risk conditions, signs, or symptoms as predictors of potentially avoidable hospital diagnoses or death. Setting: Indiana nursing facilities (N=19). Participants: Long-stay nursing facility residents (N=1,174), who experienced 1,931 acute transfers from November 2014 to July 2016. Measurements: Participant symptoms, transfers, risk factors, and hospital diagnoses. Results: We found that 44{\%} of acute transfers were associated with 1 of 6 potentially avoidable diagnoses. Symptoms before transfer did not discriminate well among hospital diagnoses. Symptoms mapped into multiple diagnoses and most hospital diagnoses had multiple associated symptoms. For example, more than two-thirds of acute transfers of residents with a history of CHF and COPD were for reasons other than exacerbations of those two conditions. Conclusion: Although it is widely recognized that many transfers of nursing facility residents are potentially avoidable, determining {"}avoidability{"} at time of transfer is complex. Symptoms and risk conditions were only weakly predictive of hospital diagnoses.",
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AU - Carnahan, Jennifer L.

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AU - Sachs, Greg

AU - Hass, Zachary

AU - Arling, Gregory

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N2 - Objectives: To describe the relationship between nursing facility resident risk conditions and signs and symptoms at time of acute transfer and diagnosis of conditions associated with potentially avoidable acute transfers (pneumonia, urinary tract infection, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) or asthma, dehydration, pressure sores). Design: As part of a demonstration project to reduce potentially avoidable hospital transfers, Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project clinical staff collected data on residents who transferred to the emergency department (ED) or hospital. Cross-tabulations were used to identify associations between risk conditions or symptoms and hospital diagnoses or death. Mixed-effects logistic regression models were used to describe the significance of risk conditions, signs, or symptoms as predictors of potentially avoidable hospital diagnoses or death. Setting: Indiana nursing facilities (N=19). Participants: Long-stay nursing facility residents (N=1,174), who experienced 1,931 acute transfers from November 2014 to July 2016. Measurements: Participant symptoms, transfers, risk factors, and hospital diagnoses. Results: We found that 44% of acute transfers were associated with 1 of 6 potentially avoidable diagnoses. Symptoms before transfer did not discriminate well among hospital diagnoses. Symptoms mapped into multiple diagnoses and most hospital diagnoses had multiple associated symptoms. For example, more than two-thirds of acute transfers of residents with a history of CHF and COPD were for reasons other than exacerbations of those two conditions. Conclusion: Although it is widely recognized that many transfers of nursing facility residents are potentially avoidable, determining "avoidability" at time of transfer is complex. Symptoms and risk conditions were only weakly predictive of hospital diagnoses.

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