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Yun H, Unruh MA, Ryskina KL, Jung HY. Association between discontinuity in clinicians and outcomes of nursing home residents. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae139. [PMID: 39544459 PMCID: PMC11562128 DOI: 10.1093/haschl/qxae139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 10/01/2024] [Accepted: 10/29/2024] [Indexed: 11/17/2024]
Abstract
Little is known about the impact of clinician discontinuity on quality of care for nursing home residents. We examined the association between clinician discontinuity and outcomes of residents with long-term care stays up to 3 years using claims for a national 20% sample of Medicare fee-for-service beneficiaries from 2014 through 2019. We used an event study analysis that accounted for staggered treatment timing. Estimates were adjusted for resident, clinician, and nursing home characteristics. Three sensitivity analyses were conducted. The first excluded small nursing homes, which were in the lowest quartile based on the number of beds. The second attributed residents to clinician practices rather than individual clinicians. The third removed the 3-year long-term care stay restriction. We found that, compared to residents who did not experience a clinician change, those with a clinician change had a 0.7 percentage point higher likelihood of an ambulatory care sensitive hospitalization in a given quarter (a 36.8% relative increase). Clinician discontinuity was not associated with ambulatory care sensitive emergency department visits. Results from our 3 sensitivity analyses were consistent with those from the primary analysis. Policymakers may consider using continuity in clinicians as a marker of nursing home quality.
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Affiliation(s)
- Hyunkyung Yun
- Department of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, RI 02903, United States
| | - Mark Aaron Unruh
- Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY 10065, United States
| | - Kira L Ryskina
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Hye-Young Jung
- Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY 10065, United States
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Kristensen GS, Kjeldgaard AH, Søndergaard J, Andersen-Ranberg K, Pedersen AK, Mogensen CB. Associations between care home residents' characteristics and acute hospital admissions - a retrospective, register-based cross-sectional study. BMC Geriatr 2023; 23:234. [PMID: 37072701 PMCID: PMC10114422 DOI: 10.1186/s12877-023-03895-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 03/15/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND Care home residents are frail, multi-morbid, and have an increased risk of experiencing acute hospitalisations and adverse events. This study contributes to the discussion on preventing acute admissions from care homes. We aim to describe the residents' health characteristics, survival after care home admission, contacts with the secondary health care system, patterns of admissions, and factors associated with acute hospital admissions. METHOD Data on all care home residents aged 65 + years living in Southern Jutland in 2018-2019 (n = 2601) was enriched with data from highly valid Danish national health registries to obtain information on characteristics and hospitalisations. Characteristics of care home residents were assessed by sex and age group. Factors associated with acute admissions were analysed using Cox Regression. RESULTS Most care home residents were women (65.6%). Male residents were younger at the time of care home admission (mean 80.6 vs. 83.7 years), had a higher prevalence of morbidities, and shorter survival after care home admission. The 1-year survival was 60.8% and 72.3% for males and females, respectively. Median survival was 17.9 months and 25.9 months for males and females, respectively. The mean rate of acute hospitalisations was 0.56 per resident-year. One in four (24.4%) care home residents were discharged from the hospital within 24 h. The same proportion was readmitted within 30 days of discharge (24.6%). Admission-related mortality was 10.9% in-hospital and 13.0% 30 days post-discharge. Male sex was associated with acute hospital admissions, as was a medical history of various cardiovascular diseases, cancer, chronic obstructive pulmonary disease, and osteoporosis. In contrast, a medical history of dementia was associated with fewer acute admissions. CONCLUSION This study highlights some of the major characteristics of care home residents and their acute hospitalisations and contributes to the ongoing discussion on improving or preventing acute admissions from care homes. TRIAL REGISTRATION Not relevant.
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Affiliation(s)
- Gitte Schultz Kristensen
- Emergency Department, Aabenraa Hospital, Department of Regional Health Research, Faculty of Health Science, University Hospital of Southern Jutland, University of Southern Denmark, Odense, Denmark.
| | | | - Jens Søndergaard
- Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Karen Andersen-Ranberg
- Geriatric Research Unit, Department of Clinical Research, Department of Public Health, Department of Regional Health Research, Faculty of Health Science, Clinical research Department, Aabenraa Hospital, University of Southern Denmark University Hospital of Southern Denmark, Odense, Denmark
| | - Andreas Kristian Pedersen
- Department of Regional Health Research, Faculty of Health Science, Emergency Department, Aabenraa Hospital, The University of Southern Denmark, University Hospital of Southern Denmark, Odense, Denmark
| | - Christian Backer Mogensen
- Department of Regional Health Research, Faculty of Health Science, Emergency Department, Aabenraa Hospital, The University of Southern Denmark, University Hospital of Southern Denmark, Odense, Denmark
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Kristensen GS, Wolff DL, Søndergaard J, Andersen-Ranberg K, Mogensen CB. Exploring the validity of identifying care home residents through a new national register. Scand J Public Health 2022:14034948221081071. [PMID: 35331054 DOI: 10.1177/14034948221081071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIMS Identifying permanent care home residents in Denmark by national registers is subject to error. The current register-based method has a sensitivity of 87% and a positive predictive value of 57%. The Danish National Health Data Authority has generated a new register named Care Home Data (in Danish: Plejehjemsdata) to increase the quality of register-based studies on care home residents. This study aimed to investigate the validity of Care Home Data. METHODS We generated the gold standard by retrieving information from the four municipalities of Southern Jutland on all individuals living permanently in a care home facility in 2019. Care Home Data generates information on care home residents by pairing addresses of every apartment in Danish care home facilities with the addresses of Danish citizens. The agreement between Care Home Data and the gold standard was analysed by calculating the sensitivity and positive predictive value. RESULTS According to the municipalities, a total of 2081 individuals resided permanently in care home facilities in Southern Jutland in 2019 (gold standard). Care Home Data identified 2128 permanent care home residents; of which 2019 individuals were identified by both the municipalities and Care Home Data (true positives); 62 individuals were not identified by Care Home Data (false negatives), and 109 individuals identified by Care Home Data did not appear in data from the municipalities (false positives). This gave a sensitivity of Care Home Data of 97.0% and a positive predictive value of 94.9%. CONCLUSIONS Care Home Data is a much improved tool for identifying citizens permanently residing in care homes with very high sensitivity and positive predictive value.
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Affiliation(s)
- Gitte S Kristensen
- Emergency Department, Hospital Sønderjylland, University Hospital of Southern Denmark, Denmark.,Department of Regional Health Research, University of Southern Denmark, Denmark
| | - Donna L Wolff
- Department of Research and Learning, Hospital Sønderjylland, University Hospital of Southern Denmark, Denmark
| | - Jens Søndergaard
- Research Unit of General Practice, University of Southern Denmark, Denmark
| | - Karen Andersen-Ranberg
- Department of Public Health, University of Southern Denmark, Denmark.,Department of Geriatric Medicine, Odense University Hospital, Denmark.,Department of Clinical Research, University of Southern Denmark, Denmark
| | - Christian B Mogensen
- Emergency Department, Hospital Sønderjylland, University Hospital of Southern Denmark, Denmark.,Department of Regional Health Research, University of Southern Denmark, Denmark
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Rolland Y, Mathieu C, Tavassoli N, Berard E, Laffon de Mazières C, Hermabessière S, Houles M, Perrin A, Krams T, Qassemi S, Cambon A, Magre E, Cantet C, Charpentier S, Lauque D, Azema O, Chicoulaa B, Oustric S, McCambridge C, Gombault-Datzenko E, Molinier L, Costa N, De Souto Barreto P. Factors Associated with Potentially Inappropriate Transfer to the Emergency Department among Nursing Home Residents. J Am Med Dir Assoc 2021; 22:2579-2586.e7. [PMID: 33964225 DOI: 10.1016/j.jamda.2021.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVES To determine the factors associated with the potentially inappropriate transfer of nursing home (NH) residents to emergency departments (EDs) and to compare hospitalization costs before and after transfer of individuals addressed inappropriately vs those addressed appropriately. DESIGN Multicenter, observational, case-control study. SETTING AND PARTICIPANTS 17 hospitals in France, 1037 NH residents. MEASURES All NH residents transferred to the 17 public hospitals' EDs in southern France were systematically included for 1 week per season. An expert panel composed of family physicians, emergency physicians, geriatricians, and pharmacists defined whether the transfer was potentially inappropriate or appropriate. Residents' and NHs' characteristics and contextual factors were entered into a mixed logistic regression to determine factors associated independently with potentially inappropriate transfers. Hospital costs were collected in the national health insurance claims database for the 6 months before and after the transfer. RESULTS A total of 1037 NH residents (mean age 87.2 ± 7.1, 68% female) were transferred to the ED; 220 (21%) transfers were considered potentially inappropriate. After adjustment, anorexia [odds ratio (OR) 2.41, 95% confidence interval (CI) 1.57-3.71], high level of disability (OR 0.90, 95% CI 0.81-0.99), and inability to receive prompt medical advice (OR 1.67, 95% CI 1.20-2.32) were significantly associated with increased likelihood of potentially inappropriate transfers. The existence of an Alzheimer's disease special care unit in the NH (OR 0.66, 95% CI 0.48-0.92), NH staff trained on advance directives (OR 0.61, 95% CI 0.41-0.89), and calling the SAMU (mobile emergency medical unit) (OR 0.47, 95% CI 0.34-0.66) were significantly associated with a lower probability of potentially inappropriate transfer. Although the 6-month hospitalization costs prior to transfer were higher among potentially inappropriate transfers compared with appropriate transfers (€6694 and €4894, respectively), transfer appropriateness was not significantly associated with hospital costs. CONCLUSIONS AND IMPLICATIONS Transfers from NHs to hospital EDs were frequently appropriate. Transfer appropriateness was conditioned by NH staff training, access to specialists' medical advice, and calling the SAMU before making transfer decisions. TRIAL REGISTRATION clinicaltrials.gov, NCT02677272.
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Affiliation(s)
- Yves Rolland
- Gérontopôle, Toulouse University Hospital, Toulouse, France; INSERM, UMR 1027, Toulouse, France
| | - Celine Mathieu
- Gérontopôle, Toulouse University Hospital, Toulouse, France; CREAI-ORS Occitanie, Toulouse, France
| | - Neda Tavassoli
- Gérontopôle, Toulouse University Hospital, Toulouse, France.
| | - Emilie Berard
- Service d'Epidémiologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France, UMR 1027, INSERM-Université de Toulouse III, Toulouse, France
| | | | | | - Mathieu Houles
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - Amélie Perrin
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - Thomas Krams
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - Soraya Qassemi
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | | | - Elodie Magre
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | | | - Sandrine Charpentier
- Emergency Department, University Paul Sabatier Toulouse III, Toulouse University Hospital, INSERM, UMR 1027, Toulouse, France
| | - Dominique Lauque
- Emergency Department, University Paul Sabatier Toulouse III, Toulouse University Hospital, INSERM, UMR 1027, Toulouse, France
| | - Olivier Azema
- Observatoire Régional des Urgences d'Occitanie (ORU Occitanie), Toulouse University Hospital, Toulouse, France
| | - Bruno Chicoulaa
- Département Universitaire de Médecine Générale (DUMG), Université Toulouse III, Toulouse University Hospital, Toulouse, France
| | - Stéphane Oustric
- Département Universitaire de Médecine Générale (DUMG), Université Toulouse III, Toulouse University Hospital, Toulouse, France
| | | | | | - Laurent Molinier
- INSERM, UMR 1027, Toulouse, France; Department of Medical Information (DIM), Toulouse University Hospital, Toulouse, France
| | - Nadège Costa
- INSERM, UMR 1027, Toulouse, France; Department of Medical Information (DIM), Toulouse University Hospital, Toulouse, France
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Wilk P, Ali S, Anderson KK, Clark AF, Cooke M, Frisbee SJ, Gilliland J, Haan M, Harris S, Kiarasi S, Maltby A, Norozi K, Petrella R, Sarma S, Singh SS, Stranges S, Thind A. Geographic variation in preventable hospitalisations across Canada: a cross-sectional study. BMJ Open 2020; 10:e037195. [PMID: 32414831 PMCID: PMC7232620 DOI: 10.1136/bmjopen-2020-037195] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE The objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec). DESIGN AND SETTING A cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006-2007, 2007-2008 and 2008-2009. PRIMARY OUTCOME MEASURE Preventable hospitalisations (ACSC). PARTICIPANTS The 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006-2009 fiscal years. METHODS Age-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran's I statistic was computed. 'Hot spot' analysis was used to identify the pattern of geographic variation. RESULTS Of all the hospitalisation events reported in Canada during the 2006-2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran's I statistic (Moran's I=0.355) suggests non-randomness in the spatial distribution of preventable hospitalisations. The findings from the 'hot spot' analysis indicate a cluster of Census Divisions located in predominantly rural and remote parts of Ontario, Manitoba and Saskatchewan and in eastern and northern parts of Nunavut with significantly higher than average rates of preventable hospitalisation. CONCLUSION The knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.
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Affiliation(s)
- Piotr Wilk
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Shehzad Ali
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Kelly K Anderson
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Andrew F Clark
- Department of Geography, Western University, London, Ontario, Canada
| | - Martin Cooke
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - Stephanie J Frisbee
- Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada
| | - Jason Gilliland
- Department of Geography, Western University, London, Ontario, Canada
| | - Michael Haan
- Department of Sociology, Western University, London, Ontario, Canada
| | - Stewart Harris
- Department of Family Medicine, Western University, London, Ontario, Canada
| | - Soushyant Kiarasi
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Alana Maltby
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Kambiz Norozi
- Department of Paediatrics, Western University, London, Ontario, Canada
| | - Robert Petrella
- Department of Family Medicine, Western University, London, Ontario, Canada
| | - Sisira Sarma
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Sarah S Singh
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Amardeep Thind
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
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Reilev M, Lundby C, Jensen J, Larsen SP, Hoffmann H, Pottegård A. Morbidity and mortality among older people admitted to nursing home. Age Ageing 2019; 49:67-73. [PMID: 31763682 DOI: 10.1093/ageing/afz136] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/30/2019] [Accepted: 10/14/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND the increasing number of multimorbid older people places high demands on future health care systems. To inform the discussion on how to structure future care strategies, we aimed to describe the temporal relationship between admission, and morbidity and mortality in nursing home residents. METHODS data on 5,179 older individuals admitted to 94 Danish nursing homes in 12 municipalities during 2015-2017 were linked to the nationwide Danish health registries to retrieve information on the temporal relation between nursing home admission and morbidity and mortality. RESULTS at the time of nursing home admission, the majority were women (63%). Male residents were younger than women (median 82 vs 85 years) and had a higher prevalence of comorbidities (median Charlson score 2 vs 1 among women). The median survival after nursing home admission was 25.8 months, with the 3-year survival being 37%. Three-year survival was lower among men (29 vs 43% among women) and among the oldest residents (23% among those aged ≥90 years vs 64% among individuals ≤65 years). In addition to age and sex, predictors of mortality included hospitalisations prior to nursing home admission and a high burden of comorbidity. The rate of hospitalisations, primarily for reasons related to frailty, increased substantially during the 9 months prior to nursing home admission. CONCLUSION we provide detailed information on differences in morbidity and mortality across age span and sex at the time of nursing home admission, thereby contributing to the ongoing discussion of how to structure the future health care system.
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Affiliation(s)
- Mette Reilev
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Carina Lundby
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Hospital Pharmacy Funen, Odense University Hospital, Odense, Denmark
| | | | | | | | - Anton Pottegård
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Hospital Pharmacy Funen, Odense University Hospital, Odense, Denmark
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