Jinjiao Wang1, Jenny Y Shen2, Fang Yu3, Yeates Conwell4, Kobi Nathan5, Avantika S Shah6, Sandra F Simmons7, Yue Li8, Erika Ramsdale9, Thomas V Caprio10. 1. Hubbard Center for Nursing Research on Aging, University of Rochester, School of Nursing, Rochester, NY, USA. 2. University of Rochester Medical Center, Department of Medicine, Rochester, NY, USA. 3. Arizona State University, Edson College of Nursing and Health Innovation, Phoenix, AZ, USA. 4. University of Rochester Medical Center, Department of Psychiatry, Rochester, NY, USA. 5. Division of Geriatrics & Aging, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA; St. John Fisher College, Wegmans School of Pharmacy, Rochester, NY, USA. 6. Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Center for Quality Aging, Nashville, TN, USA. 7. Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Center for Quality Aging, Nashville, TN, USA; Geriatric Research, Education and Clinical Center (GRECC), VA Tennessee Valley Healthcare System, Nashville, TN, USA. 8. Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA. 9. Department of Medicine, Division of Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA. 10. Division of Geriatrics & Aging, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA; University of Rochester Medical Home Care, University of Rochester Medical Center, Rochester, NY, USA; Finger Lakes Geriatric Education Center, University of Rochester Medical Center, Rochester, NY, USA.
Abstract
OBJECTIVES: Polypharmacy is common in home health care (HHC). This study examined the prevalence of medications associated with geriatric syndromes (MAGS), its predictors, and association with subsequent hospitalization in HHC. DESIGN: Analysis of HHC electronic medical records, the Outcome and Assessment Information Set (OASIS), and Medicare HHC claims. SETTING AND PARTICIPANTS: A total of 6882 adults ≥65 years old receiving HHC in 2019 from a large, not-for-profit home health agency serving multiple counties in New York State. MEASURES: MAGS use was identified from active medications reconciled during HHC visits (HHC electronic medical records). MAGS use was operationalized as count and in quartiles. Hospitalization during the HHC episode was operationalized as a time-to-event variable (ie, number of days from HHC admission to hospitalization). We used regression analyses to identify predictors of MAGS use, and survival analyses to examine the association between MAGS and hospitalization. RESULTS: Nearly all (98%) of the HHC patients used at least 1 MAGS and 41% of all active medications used by the sample were MAGS. More MAGS use was found in HHC patients who were community-referred, taking more medications, and having more diagnoses, depressive symptoms, and functional limitations. Adjusted for covariates, higher MAGS quartiles were not independently associated with the risk of hospitalization, but higher MAGS quartiles combined with multimorbidity (ie, having ≥10 diagnoses) were associated with a 2.3-fold increase in hospitalization risk (hazard ratio 2.24; 95% confidence interval: 1.61-3.13; P < .001), relative to the lowest quartile of MAGS use and having <10 diagnoses. CONCLUSIONS AND IMPLICATIONS: More than 40% of medications taken by HHC patients are MAGS. Multimorbidity and MAGS use collectively increased the risk of hospitalization by up to 2.3 times. HHC clinicians should carefully review patients' medications and use information about MAGS to facilitate discussion about deprescribing with patients and their prescribers.
OBJECTIVES: Polypharmacy is common in home health care (HHC). This study examined the prevalence of medications associated with geriatric syndromes (MAGS), its predictors, and association with subsequent hospitalization in HHC. DESIGN: Analysis of HHC electronic medical records, the Outcome and Assessment Information Set (OASIS), and Medicare HHC claims. SETTING AND PARTICIPANTS: A total of 6882 adults ≥65 years old receiving HHC in 2019 from a large, not-for-profit home health agency serving multiple counties in New York State. MEASURES: MAGS use was identified from active medications reconciled during HHC visits (HHC electronic medical records). MAGS use was operationalized as count and in quartiles. Hospitalization during the HHC episode was operationalized as a time-to-event variable (ie, number of days from HHC admission to hospitalization). We used regression analyses to identify predictors of MAGS use, and survival analyses to examine the association between MAGS and hospitalization. RESULTS: Nearly all (98%) of the HHC patients used at least 1 MAGS and 41% of all active medications used by the sample were MAGS. More MAGS use was found in HHC patients who were community-referred, taking more medications, and having more diagnoses, depressive symptoms, and functional limitations. Adjusted for covariates, higher MAGS quartiles were not independently associated with the risk of hospitalization, but higher MAGS quartiles combined with multimorbidity (ie, having ≥10 diagnoses) were associated with a 2.3-fold increase in hospitalization risk (hazard ratio 2.24; 95% confidence interval: 1.61-3.13; P < .001), relative to the lowest quartile of MAGS use and having <10 diagnoses. CONCLUSIONS AND IMPLICATIONS: More than 40% of medications taken by HHC patients are MAGS. Multimorbidity and MAGS use collectively increased the risk of hospitalization by up to 2.3 times. HHC clinicians should carefully review patients' medications and use information about MAGS to facilitate discussion about deprescribing with patients and their prescribers.
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