Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis
Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of...
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Gespeichert in:
| Autor*in: |
Heckman, George A. [verfasserIn] Hirdes, John P. [verfasserIn] Hébert, Paul [verfasserIn] Costa, Andrew [verfasserIn] Onder, Graziano [verfasserIn] Declercq, Anja [verfasserIn] Nova, Amanda [verfasserIn] Chen, Jonathan [verfasserIn] McKelvie, Robert S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Übergeordnetes Werk: |
Enthalten in: The Canadian journal of cardiology - [S.l.] : Elsevier, 1995, 37, Seite 1767-1774 |
|---|---|
| Übergeordnetes Werk: |
volume:37 ; pages:1767-1774 |
| DOI / URN: |
10.1016/j.cjca.2021.07.009 |
|---|
| Katalog-ID: |
ELV007026129 |
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| 100 | 1 | |a Heckman, George A. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis |
| 264 | 1 | |c 2021 | |
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| 520 | |a Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. | ||
| 700 | 1 | |a Hirdes, John P. |e verfasserin |4 aut | |
| 700 | 1 | |a Hébert, Paul |e verfasserin |4 aut | |
| 700 | 1 | |a Costa, Andrew |e verfasserin |4 aut | |
| 700 | 1 | |a Onder, Graziano |e verfasserin |4 aut | |
| 700 | 1 | |a Declercq, Anja |e verfasserin |4 aut | |
| 700 | 1 | |a Nova, Amanda |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Jonathan |e verfasserin |4 aut | |
| 700 | 1 | |a McKelvie, Robert S. |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The Canadian journal of cardiology |d [S.l.] : Elsevier, 1995 |g 37, Seite 1767-1774 |h Online-Ressource |w (DE-627)329366130 |w (DE-600)2048214-0 |w (DE-576)338521038 |x 1916-7075 |7 nnns |
| 773 | 1 | 8 | |g volume:37 |g pages:1767-1774 |
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| 936 | b | k | |a 44.85 |j Kardiologie |j Angiologie |
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| 952 | |d 37 |h 1767-1774 | ||
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10.1016/j.cjca.2021.07.009 doi (DE-627)ELV007026129 (ELSEVIER)S0828-282X(21)00374-3 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl Heckman, George A. verfasserin aut Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. Hirdes, John P. verfasserin aut Hébert, Paul verfasserin aut Costa, Andrew verfasserin aut Onder, Graziano verfasserin aut Declercq, Anja verfasserin aut Nova, Amanda verfasserin aut Chen, Jonathan verfasserin aut McKelvie, Robert S. verfasserin aut Enthalten in The Canadian journal of cardiology [S.l.] : Elsevier, 1995 37, Seite 1767-1774 Online-Ressource (DE-627)329366130 (DE-600)2048214-0 (DE-576)338521038 1916-7075 nnns volume:37 pages:1767-1774 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.85 Kardiologie Angiologie AR 37 1767-1774 |
| spelling |
10.1016/j.cjca.2021.07.009 doi (DE-627)ELV007026129 (ELSEVIER)S0828-282X(21)00374-3 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl Heckman, George A. verfasserin aut Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. Hirdes, John P. verfasserin aut Hébert, Paul verfasserin aut Costa, Andrew verfasserin aut Onder, Graziano verfasserin aut Declercq, Anja verfasserin aut Nova, Amanda verfasserin aut Chen, Jonathan verfasserin aut McKelvie, Robert S. verfasserin aut Enthalten in The Canadian journal of cardiology [S.l.] : Elsevier, 1995 37, Seite 1767-1774 Online-Ressource (DE-627)329366130 (DE-600)2048214-0 (DE-576)338521038 1916-7075 nnns volume:37 pages:1767-1774 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.85 Kardiologie Angiologie AR 37 1767-1774 |
| allfields_unstemmed |
10.1016/j.cjca.2021.07.009 doi (DE-627)ELV007026129 (ELSEVIER)S0828-282X(21)00374-3 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl Heckman, George A. verfasserin aut Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. Hirdes, John P. verfasserin aut Hébert, Paul verfasserin aut Costa, Andrew verfasserin aut Onder, Graziano verfasserin aut Declercq, Anja verfasserin aut Nova, Amanda verfasserin aut Chen, Jonathan verfasserin aut McKelvie, Robert S. verfasserin aut Enthalten in The Canadian journal of cardiology [S.l.] : Elsevier, 1995 37, Seite 1767-1774 Online-Ressource (DE-627)329366130 (DE-600)2048214-0 (DE-576)338521038 1916-7075 nnns volume:37 pages:1767-1774 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.85 Kardiologie Angiologie AR 37 1767-1774 |
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10.1016/j.cjca.2021.07.009 doi (DE-627)ELV007026129 (ELSEVIER)S0828-282X(21)00374-3 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl Heckman, George A. verfasserin aut Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. Hirdes, John P. verfasserin aut Hébert, Paul verfasserin aut Costa, Andrew verfasserin aut Onder, Graziano verfasserin aut Declercq, Anja verfasserin aut Nova, Amanda verfasserin aut Chen, Jonathan verfasserin aut McKelvie, Robert S. verfasserin aut Enthalten in The Canadian journal of cardiology [S.l.] : Elsevier, 1995 37, Seite 1767-1774 Online-Ressource (DE-627)329366130 (DE-600)2048214-0 (DE-576)338521038 1916-7075 nnns volume:37 pages:1767-1774 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.85 Kardiologie Angiologie AR 37 1767-1774 |
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10.1016/j.cjca.2021.07.009 doi (DE-627)ELV007026129 (ELSEVIER)S0828-282X(21)00374-3 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl Heckman, George A. verfasserin aut Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. Hirdes, John P. verfasserin aut Hébert, Paul verfasserin aut Costa, Andrew verfasserin aut Onder, Graziano verfasserin aut Declercq, Anja verfasserin aut Nova, Amanda verfasserin aut Chen, Jonathan verfasserin aut McKelvie, Robert S. verfasserin aut Enthalten in The Canadian journal of cardiology [S.l.] : Elsevier, 1995 37, Seite 1767-1774 Online-Ressource (DE-627)329366130 (DE-600)2048214-0 (DE-576)338521038 1916-7075 nnns volume:37 pages:1767-1774 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.85 Kardiologie Angiologie AR 37 1767-1774 |
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Heckman, George A. ddc 610 bkl 44.85 Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis |
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Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis |
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Heckman, George A. Hirdes, John P. Hébert, Paul Costa, Andrew Onder, Graziano Declercq, Anja Nova, Amanda Chen, Jonathan McKelvie, Robert S. |
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Heckman, George A. |
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assessments of heart failure and frailty-related health instability provide complementary and useful information for home-care planning and prognosis |
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Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis |
| abstract |
Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. |
| abstractGer |
Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. |
| abstract_unstemmed |
Background: Health instability, measured with the Changes in Health and End-Stage Disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home-care clients. Heart failure (HF) is also common among home-care clients. We seek to understand how HF contributes to the odds of death, hospitalization, or worsening health among new home-care clients, depending on admission health instability.Methods: We undertook a retrospective cohort study of home-care clients, aged 65 years and older, between January 1, 2010, and March 31, 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (ORs) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home-care admission.Results: The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-to-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR, 1.08; 95% confidence interval (CI), 1.02-1.13) but similar odds of death (OR, 1.024; 95% CI, 0.937-1.120) compared with clients without HF.Conclusions: Among new home-care clients, a diagnosis of HF predicts death, hospitalization, and worsening health, predominantly among those with low-to-moderate admission health instability. A diagnosis of HF and admission CHESS score provide complementary information to support care planning in this population. |
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Assessments of Heart Failure and Frailty-Related Health Instability Provide Complementary and Useful Information for Home-Care Planning and Prognosis |
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| score |
7.399743 |