1
|
Saari ME, Giosa JL, Holyoke P, Heckman GA, Hirdes JP. Profiling the medical, functional, cognitive, and psychosocial care needs of adults assessed for home care in Ontario, Canada: The case for long-term 'life care' at home. PLoS One 2024; 19:e0300521. [PMID: 38558082 PMCID: PMC10984553 DOI: 10.1371/journal.pone.0300521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/28/2024] [Indexed: 04/04/2024] Open
Abstract
Calls to leverage routinely collected data to inform health system improvements have been made. Misalignment between home care services and client needs can result in poor client, caregiver, and system outcomes. To inform development of an integrated model of community-based home care, grounded in a holistic definition of health, comprehensive clinical profiles were created using Ontario, Canada home care assessment data. Retrospective, cross-sectional analyses of 2017-2018 Resident Assessment Instrument Home Care (RAI-HC) assessments (n = 162,523) were completed to group home care clients by service needs and generate comprehensive profiles of each group's dominant medical, functional, cognitive, and psychosocial care needs. Six unique groups were identified, with care profiles representing home care clients living with Geriatric Syndromes, Medical Complexity, Cognitive Impairment and Behaviours, Caregiver Distress and Social Frailty. Depending on group membership, between 51% and 81% of clients had identified care needs spanning four or more Positive Health dimensions, demonstrating both the heterogeneity and complexity of clients served by home care. Comprehensive clinical profiles, developed from routinely collected assessment data, support a future-focused, evidence-informed, and community-engaged approach to research and practice in integrated home-based health and social care.
Collapse
Affiliation(s)
- Margaret E. Saari
- SE Research Centre, SE Health, Markham, Ontario, Canada
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Justine L. Giosa
- SE Research Centre, SE Health, Markham, Ontario, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Paul Holyoke
- SE Research Centre, SE Health, Markham, Ontario, Canada
| | - George A. Heckman
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - John P. Hirdes
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| |
Collapse
|
2
|
Benipal H, Demers C, Cerasuolo JO, Perez R, You JJ, Amin F, Keshavjee K, Lee DS. Association of a Heart Failure Management Incentive in Primary Care With Clinical Outcomes: A Retrospective Cohort Study. J Am Heart Assoc 2024; 13:e031498. [PMID: 38156519 PMCID: PMC10863798 DOI: 10.1161/jaha.123.031498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND We aim to examine the association between primary care physicians' billing of Q050A, a pay-for-performance heart failure (HF) management incentive fee code, and the composite outcome of mortality, hospitalization, and emergency department visits. METHODS AND RESULTS This population-based cohort study linked administrative health databases in Ontario, Canada, for patients with HF aged >66 years between January 1, 2008, and March 31, 2020. Cases were patients with HF who had a Q050A fee code billed. Cases and controls were matched 1:1 on age, sex, patient status on being rostered to a primary care physician, cardiologist, or internist visit in the 6 months before study enrollment, Johns Hopkins Adjusted Clinical Group resource use bands, days between HF diagnosis and study enrollment (±2 years), and the logit of the propensity score. A Cox proportional hazards model assessed the association of Q050A with the outcome. A total of 59 664 cases had a Q050A billed, whereas 244 883 patients did not. Before matching, patients who had a Q050A billed were more likely to be men (52% versus 49%), were rostered to a primary care physician (100% versus 96%), had a higher Charlson Comorbidity Index, and had higher health care costs. The mean follow-up was 481 days for cases and 530 days for controls. The composite outcome (hazard ratio, 1.11 [95% CI, 1.09-1.12]) was significantly higher for cases than controls. CONCLUSIONS The Q050A incentive improved financial compensation for primary care physicians managing patients with HF but was not associated with improvements in the outcome. Research on promoting evidence-based HF management is warranted.
Collapse
Affiliation(s)
- Harsukh Benipal
- Temerty Faculty of MedicineUniversity of TorontoToronto, OntarioCanada
| | - Catherine Demers
- Department of MedicineMcMaster UniversityHamiltonOntarioCanada
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonOntarioCanada
| | - Joshua O. Cerasuolo
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonOntarioCanada
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
| | - Richard Perez
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
| | - John J. You
- Division of General Internal and Hospitalist MedicineCredit Valley Hospital, Trillium Health PartnersMississaugaOntarioCanada
| | - Faizan Amin
- Department of MedicineMcMaster UniversityHamiltonOntarioCanada
| | - Karim Keshavjee
- Institute of Health Policy, Management and EvaluationUniversity of TorontoToronto, OntarioCanada
- InfoClin IncTorontoOntarioCanada
| | - Douglas S. Lee
- Temerty Faculty of MedicineUniversity of TorontoToronto, OntarioCanada
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
- Institute of Health Policy, Management and EvaluationUniversity of TorontoToronto, OntarioCanada
| |
Collapse
|
3
|
Berete F, Demarest S, Charafeddine R, De Ridder K, Van Oyen H, Van Hoof W, Bruyère O, Van der Heyden J. Linking health survey data with health insurance data: methodology, challenges, opportunities and recommendations for public health research. An experience from the HISlink project in Belgium. Arch Public Health 2023; 81:198. [PMID: 37968754 PMCID: PMC10648729 DOI: 10.1186/s13690-023-01213-0] [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: 03/24/2023] [Accepted: 11/03/2023] [Indexed: 11/17/2023] Open
Abstract
In recent years, the linkage of survey data to health administrative data has increased. This offers new opportunities for research into the use of health services and public health. Building on the HISlink use case, the linkage of Belgian Health Interview Survey (BHIS) data and Belgian Compulsory Health Insurance (BCHI) data, this paper provides an overview of the practical implementation of linking data, the outcomes in terms of a linked dataset and of the studies conducted as well as the lessons learned and recommendations for future links.Individual BHIS 2013 and 2018 data was linked to BCHI data using the national register number. The overall linkage rate was 92.3% and 94.2% for HISlink 2013 and HISlink 2018, respectively. Linked BHIS-BCHI data were used in validation studies (e.g. self-reported breast cancer screening; chronic diseases, polypharmacy), in policy-driven research (e.g., mediation effect of health literacy in the relationship between socioeconomic status and health related outcomes, and in longitudinal study (e.g. identifying predictors of nursing home admission among older BHIS participants). The linkage of both data sources combines their strengths but does not overcome all weaknesses.The availability of a national register number was an asset for HISlink. Policy-makers and researchers must take initiatives to find a better balance between the right to privacy of respondents and society's right to evidence-based information to improve health. Researchers should be aware that the procedures necessary to implement a link may have an impact on the timeliness of their research. Although some aspects of HISlink are specific to the Belgian context, we believe that some lessons learned are useful in an international context, especially for other European Union member states that collect similar data.
Collapse
Affiliation(s)
- Finaba Berete
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium.
- Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
| | - Stefaan Demarest
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
| | - Rana Charafeddine
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
| | - Karin De Ridder
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
| | - Herman Van Oyen
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Wannes Van Hoof
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Ageing, Research Unit in Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Johan Van der Heyden
- Department of Epidemiology and Public Health, Sciensano, Juliette Wytsmanstraat 14, Brussels, 1050, Belgium
| |
Collapse
|
4
|
Williams N, Hermans K, Cohen J, Declercq A, Jakda A, Downar J, Guthrie DM, Hirdes JP. The interRAI CHESS scale is comparable to the palliative performance scale in predicting 90-day mortality in a palliative home care population. BMC Palliat Care 2022; 21:174. [PMID: 36203180 PMCID: PMC9540725 DOI: 10.1186/s12904-022-01059-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/29/2022] [Accepted: 09/09/2022] [Indexed: 11/10/2022] Open
Abstract
Background Prognostic accuracy is important throughout all stages of the illness trajectory as it has implications for the timing of important conversations and decisions around care. Physicians often tend to over-estimate prognosis and may under-recognize palliative care (PC) needs. It is therefore essential that all relevant stakeholders have as much information available to them as possible when estimating prognosis. Aims The current study examined whether the interRAI Changes in Health, End-Stage Disease, Signs and Symptoms (CHESS) Scale is a good predictor of mortality in a known PC population and to see how it compares to the Palliative Performance Scale (PPS) in predicting 90-day mortality. Methods This retrospective cohort study used data from 2011 to 2018 on 80,261 unique individuals receiving palliative home care and assessed with both the interRAI Palliative Care instrument and the PPS. Logistic regression models were used to evaluate the relationship between the main outcome, 90-day mortality and were then replicated for a secondary outcome examining the number of nursing visits. Comparison of survival time was examined using Kaplan-Meier survival curves. Results The CHESS Scale was an acceptable predictor of 90-day mortality (c-statistic = 0.68; p < 0.0001) and was associated with the number of nursing days (c = 0.61; p < 0.0001) and had comparable performance to the PPS (c = 0.69; p < 0.0001). The CHESS Scale performed slightly better than the PPS in predicting 90-day mortality when combined with other interRAI PC items (c = 0.72; p < 0.0001). Conclusion The interRAI CHESS Scale is an additional decision-support tool available to clinicians that can be used alongside the PPS when estimating prognosis. This additional information can assist with the development of care plans, discussions, and referrals to specialist PC teams.
Collapse
Affiliation(s)
- Nicole Williams
- Department of Kinesiology and Physical Education, Wilfrid Laurier University, 75 University Ave W, Waterloo, Canada.
| | - Kirsten Hermans
- LUCAS - Center for Care Research and Consultancy, KU Leuven, Minderbroedersstraat 8 box, 5310, 3000, Leuven, Belgium.,End-of-life Care Research Group, University of Brussels (VUB) and Ghent University (UGent), Laarbeeklaan 103, 1090, Brussels, Belgium
| | - Joachim Cohen
- End-of-life Care Research Group, University of Brussels (VUB) and Ghent University (UGent), Laarbeeklaan 103, 1090, Brussels, Belgium
| | - Anja Declercq
- LUCAS - Center for Care Research and Consultancy, KU Leuven, Minderbroedersstraat 8 box, 5310, 3000, Leuven, Belgium
| | - Ahmed Jakda
- Department of Family Medicine, McMaster University, 100 Main Street West, Hamilton, Canada
| | - James Downar
- Department of Medicine, Division of Palliative Care, University of Ottawa, Ottawa, Canada
| | - Dawn M Guthrie
- Department of Kinesiology and Physical Education, Wilfrid Laurier University, 75 University Ave W, Waterloo, Canada.,Department of Health Sciences, Wilfrid Laurier University, 75 University Ave W, Waterloo, Canada
| | - John P Hirdes
- School of Public Health Sciences, University of Waterloo, 200 University Ave W, Waterloo, Canada
| |
Collapse
|