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Fleury MJ, Cao Z, Grenier G, Huỳnh C, Meng X. Classes of outpatient quality of care among individuals with substance-related disorders, based on a survey and health insurance registry. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2025; 170:209619. [PMID: 39755156 DOI: 10.1016/j.josat.2024.209619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 12/12/2024] [Accepted: 12/26/2024] [Indexed: 01/06/2025]
Abstract
OBJECTIVES Improving quality of care for individuals with substance-related disorders (SRD) should be a priority considering SRD are associated with high morbidity. This study aimed to identify classes of individuals with SRD based on their clinical characteristics and the quality of outpatient care they received, and to verify whether better quality of care was associated with other respondent characteristics and more favorable subsequent outcomes. METHODS Data came from the 2013-14 and 2015-16 Canadian Community Health Survey (N = 42,099), merged with administrative data from Quebec's health insurance registry. Investigating a cohort of 1473 individuals with SRD, we conducted Latent class analysis based on the respondents' diagnoses and outpatient quality of care indicators such as access, diversity, continuity and regularity of care received in the 12 months preceding interview. Chi-Square, Fisher's exact tests or t-tests, and logistic regression associate classes with sociodemographic and health behavior (e.g., suicidal behaviors) correlates, and outcomes (repeated emergency department use, hospitalization, quality of life) over the three months following interview, respectively. RESULTS The study identified four classes: (1) Individuals with polysubstance-related disorders and other health disorders, receiving high diversity and moderate regularity of care (6 % of sample); (2) Individuals with alcohol-related disorders, receiving low quality of care (41 %); (3) Individuals with drug-related disorders, receiving high overall quality of care (9 %); and (4) Individuals with alcohol-related disorders, receiving high continuity of family doctor care (44 %). Classes 2 and 4 showed better social conditions (e.g., higher education), health behaviors, and subsequent outcomes than Classes 1 and 3, despite receiving lower quality of care - especially mental healthcare. CONCLUSION Study outcomes related more to health and social conditions than to the quality of outpatient care received, especially as outpatient care alone might not meet needs of Classes 1 and 3 individuals having important health and social issues, unmet care needs and worse outcomes. Results suggest that interventions like assertive community treatment or intensive case management with integrated SRD-mental health disorders treatment could better respond to the needs of Classes 1 and 3. Overall, enhanced care, including peer support, might benefit all individuals with SRD.
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Affiliation(s)
- Marie-Josée Fleury
- Department of Psychiatry, McGill University, Douglas Hospital Research Center, Montreal, Quebec, Canada.
| | - Zhirong Cao
- Douglas Hospital Research Center, Montreal, Quebec, Canada.
| | - Guy Grenier
- Douglas Hospital Research Center, Montreal, Quebec, Canada.
| | - Christophe Huỳnh
- Institut universitaire sur les dépendances, Centre intégré universitaire de santé et des services sociaux du Centre-Sud-de-l'Île-de-Montréal, Canada.
| | - Xianghei Meng
- Department of Psychiatry, McGill University, Douglas Hospital Research Center, Montreal, Quebec, Canada.
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Fleury MJ, Cao Z, Grenier G, Rahme E. Profiles of quality of outpatient care among individuals with mental disorders based on survey and administrative data. J Eval Clin Pract 2024; 30:1373-1385. [PMID: 39031622 DOI: 10.1111/jep.14052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/24/2024] [Accepted: 06/03/2024] [Indexed: 07/22/2024]
Abstract
RATIONALE Though it is crucial to contribute to patient recovery through access, diversity, continuity and regularity of outpatient care, still today most of these are deemed nonoptimal. Identifying patient profiles based on outpatient service use and quality of care indicators might help formulate more personalized interventions and reduce adverse outcomes. AIMS AND OBJECTIVES This study aimed to identify profiles of individuals with mental disorders (MDs) patterned after their outpatient care use and quality of care received, and to link those profiles to individual characteristics and subsequent outcomes. METHODS A cohort of 5669 individuals with MDs was considered based on data from the 2013-2014 and 2015-2016 Canadian Community Health Survey, which were linked to administrative data from the Quebec health insurance registry. Latent class analysis generated profiles based on service use over the 12 months preceding each respondent's interview, and comparative analyses were used to associate profiles with sociodemographic and clinical characteristics, and health outcomes over the three following months. RESULTS Four profiles were identified. Profile 1 (P-1) was labelled 'Low service use'; P-2 'Moderate general practitioner (GP) care and continuity and regularity of care'; P-3 'High GP care, continuity and regularity of care, and low psychiatrist care'; and P-4 'High psychiatrist care and regularity of care, and low GP care'. Profiles 3 and 4 (~50% of the cohort) were provided with better care, but showed worse outcomes, mainly acute care use due to more complex conditions and unmet needs. Profiles 1 and 2 had better outcomes as they showed fewer risk factors such as being younger and having better social conditions. CONCLUSION Intensity, diversity and regularity of care were higher in profiles with more complex MDs, chronic physical illnesses, and worse perceived health conditions. Adapting specific interventions for each profile, such as assertive community treatment or intensive case management for Profile 4, is recommended.
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Affiliation(s)
| | - Zhirong Cao
- Douglas Hospital Research Centre, Montreal, Quebec, Canada
| | - Guy Grenier
- Douglas Hospital Research Centre, Montreal, Quebec, Canada
| | - Elham Rahme
- Department of Medicine, McGill University, Montreal, Quebec, Canada
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Raza S, Thiruchelvam D, Redelmeier DA. Costs for Long-Term Health Care After a Police Shooting in Ontario, Canada. JAMA Netw Open 2023; 6:e2335831. [PMID: 37768661 PMCID: PMC10539992 DOI: 10.1001/jamanetworkopen.2023.35831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Importance Police shootings can cause serious acute injury, and knowledge of subsequent health outcomes may inform interventions to improve care. Objective To analyze long-term health care costs among survivors of police shootings compared with those surviving nonfirearm police enforcement injuries using a retrospective design. Design, Setting, and Participants This population-based cohort analysis identified adults (age ≥16 years) who were injured by police and required emergency medical care between April 1, 2002, and March 31, 2022, in Ontario, Canada. Exposure Police shootings compared with other mechanisms of injury involving police. Main Outcomes and Measures Long-term health care costs determined using a validated costing algorithm. Secondary outcomes included short-term mortality, acute care treatments, and rates of subsequent disability. Results Over the study, 13 545 adults were injured from police enforcement (mean [SD] age, 35 [12] years; 11 637 males [86%]). A total of 13 520 individuals survived acute injury, and 8755 had long-term financial data available (88 surviving firearm injury, 8667 surviving nonfirearm injury). Patients surviving firearm injury had 3 times greater health care costs per year (CAD$16 223 vs CAD$5412; mean increase, CAD$9967; 95% CI, 6697-13 237; US $11 982 vs US $3997; mean increase, US $7361; 95% CI, 4946-9776; P < .001). Greater costs after a firearm injury were not explained by baseline costs and primarily reflected increased psychiatric care. Other characteristics associated with increased long-term health care costs included prior mental illness and a substance use diagnosis. Conclusions and Relevance In this longitudinal cohort study of long-term health care costs, patients surviving a police shooting had substantial health care costs compared with those injured from other forms of police enforcement. Costs primarily reflected psychiatric care and suggest the need to prioritize early recognition and prevention.
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Affiliation(s)
- Sheharyar Raza
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Deva Thiruchelvam
- Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Institute of Clinical Evaluative Sciences (ICES) in Ontario, Ontario, Canada
| | - Donald A. Redelmeier
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Evaluative Clinical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Institute of Clinical Evaluative Sciences (ICES) in Ontario, Ontario, Canada
- Institute for Health Policy Management and Evaluation, Ontario, Canada
- Division of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada
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Lau T, Maltby A, Ali S, Moran V, Wilk P. Does the definition of preventable emergency department visit matter? An empirical analysis using 20 million visits in Ontario and Alberta. Acad Emerg Med 2022; 29:1329-1337. [PMID: 36043233 DOI: 10.1111/acem.14587] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/11/2022] [Accepted: 08/28/2022] [Indexed: 01/25/2023]
Abstract
OBJECTIVES This study had two objectives: (1) to estimate the prevalence of preventable emergency department (ED) visits during the 2016-2020 time period among those living in 19 large urban centers in Alberta and Ontario, Canada, and (2) to assess if the definition of preventable ED visits matters in estimating the prevalence. METHODS A retrospective, population-based study of ED visits that were reported to the National Ambulatory Care Reporting System from April 1, 2016, to March 31, 2020, was conducted. Preventable ED visits were operationalized based on the following approaches: (1) Canadian Triage and Acuity Scale (CTAS), (2) ambulatory care-sensitive conditions (ACSC), (3) family practice-sensitive conditions (FPSC), and (4) sentinel nonurgent conditions (SNC). The overall proportion of ED visits that were preventable was estimated. We also estimated the adjusted relative risks of preventable ED visits by patients' sex and age, fiscal year, province of residence, and census metropolitan area (CMA) of residence. RESULTS There were 20,171,319 ED visits made by 8,919,618 patients ages 1 to 74 who resided in one of the 19 CMAs in Alberta or Ontario. On average, there were 2.26 visits per patient over the period of 4 fiscal years; most patients made one (44.22%) or two ED visits (20.72%). The overall unadjusted prevalence of preventable ED visits varied by definition; 35.33% of ED visits were defined as preventable based on CTAS, 12.88% based on FPSC, 3.41% based on SNC, and 2.33% based on ACSC. CONCLUSIONS There is a substantial level of variation in prevalence estimates across definitions of preventable ED visits, and care should be taken when interpreting these estimates as each has a different meaning and may lead to different conclusions. The conceptualization and measurement of preventable ED visits is complex and multifaceted and may not be adequately captured by a single definition.
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Affiliation(s)
- Tammy Lau
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Alana Maltby
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Shehzad Ali
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.,Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Valérie Moran
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.,Luxembourg Institute of Socio-Economic Research, Living Conditions, Esch-sur-Alzette, Luxembourg
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.,Department of Paediatrics, Western University, London, Ontario, Canada.,Child Health Research Institute, London, Ontario, Canada.,Lawson Health Research Institute, London, Ontario, Canada.,ICES, London, Ontario, Canada.,Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
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Turbow SD, Uppal TS, Haw JS, Chehal P, Fernandes G, Shah M, Rajpathak S, Ali MK, Narayan KMV. Trends and Demographic Disparities in Diabetes Hospital Admissions: Analyses of Serial Cross-Sectional National and State Data, 2008-2017. Diabetes Care 2022; 45:1355-1363. [PMID: 35380629 PMCID: PMC9210860 DOI: 10.2337/dc21-1837] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 03/06/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To analyze national and state-specific trends in diabetes-related hospital admissions and determine whether disparities in rates of admission exist between demographic groups and geographically dispersed states. RESEARCH DESIGN AND METHODS We conducted serial cross-sectional analyses of the National Inpatient Sample (2008, 2011, 2014, and 2016) and State Inpatient Databases for Arizona, Florida, Kentucky, Iowa, Maryland, Nebraska, New Jersey, New York, North Carolina, Utah, and Vermont for 2008, 2011, 2014, and 2016/2017 among adult patients with type 1 and type 2 diabetes-related ICD codes (ICD-9 [250.XX] or ICD-10 [E10.XXX, E11.XXX, and E13.XXX]. We measured hospitalization rates for people with diabetes (all-cause hospitalizations) and for admissions with a primary diagnosis of diabetes or diabetes-related complications (diabetes-specific hospitalizations) per 10,000 people per year. RESULTS Nationally, all-cause and diabetes-specific hospitalizations declined by 3.1% (95% CI -5.5, -0.7) and 19.1% (95% CI -21.6, -16.6), respectively, over 2008 to 2016. The analysis of individual states showed that diabetes-specific admissions in individuals ≥65 years old declined during this time (16.3-48.8% decrease) but increased among patients 18-29 years old (10.5-81.5% increase) and that rural diabetes-specific admissions decreased in just over half of the included states (15.2-69.2% decrease). There were no differences in changes in admission rates among different racial/ethnic groups. CONCLUSIONS Overall, rates of diabetes-related hospitalizations decreased over 2008 to 2016/2017, but there were large state-level differences across subgroups of patients. The rise in diabetes hospitalizations among young adults is a cause for concern. These state- and subpopulation-level differences highlight the need for state-level policies and interventions to address disparities in diabetes health care use.
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Affiliation(s)
- Sara D Turbow
- Division of General Internal Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA.,Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Tegveer S Uppal
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - J Sonya Haw
- Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Puneet Chehal
- Department of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA
| | | | - Megha Shah
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | | | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA.,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.,Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, Emory University, Atlanta, GA
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Bhatia D, Sutradhar R, Tinmouth J, Singh S, Lau C, Lipscombe LL. Influence of chronic comorbidities on periodic colorectal cancer screening participation: A population-based cohort study. Prev Med 2021; 147:106530. [PMID: 33771564 DOI: 10.1016/j.ypmed.2021.106530] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/18/2021] [Accepted: 03/21/2021] [Indexed: 02/07/2023]
Abstract
Guidelines recommend regular screening for colorectal cancer (CRC). We examined the effects of chronic comorbidities on periodic CRC testing. Using linked healthcare databases from Ontario, Canada, we assembled a population-based cohort of 50-74-year olds overdue for guideline-recommended CRC screening between April 1, 2004 and March 31, 2016. We implemented multivariable recurrent events models to determine the association between comorbidities and the rate of becoming up-to-date with periodic CRC tests. The cohort included 4,642,422 individuals. CRC testing rates were significantly lower in persons with renal disease on dialysis (hazard ratio, HR 0.66, 95% confidence interval, CI 0.63 to 0.68), heart failure (HR 0.75, CI 0.75 to 0.76), respiratory disease (HR 0.84, CI 0.83 to 0.84), cardiovascular disease (HR 0.85, CI 0.84 to 0.85), diabetes (HR 0.86, 95% CI 0.86 to 0.87) and mental illness (HR 0.88, CI 0.87 to 0.88). There was an inverse association between the number of medical conditions and the rate of CRC testing (5 vs. none: HR 0.30, CI 0.25 to 0.36; 4 vs. none: HR 0.48, CI 0.47 to 0.50; 3 vs. none: HR 0.59, CI 0.58 to 0.60; 2 vs. none: HR 0.72, CI 0.71 to 0.72; 1 vs. none: HR 0.85, CI 0.84 to 0.85). Having both medical and mental comorbidities was associated with lower testing rates than either type of comorbidity alone (HR 0.72, CI 0.71 to 0.72). In summary, chronic comorbidities present a barrier to periodic guideline-recommended CRC testing. Exploration of cancer prevention gaps in these populations is warranted.
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Affiliation(s)
- Dominika Bhatia
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, M5T 3M6 Toronto, Ontario, Canada.
| | - Rinku Sutradhar
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, M5T 3M6 Toronto, Ontario, Canada; ICES, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada
| | - Jill Tinmouth
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, M5T 3M6 Toronto, Ontario, Canada; ICES, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada; Department of Medicine, University of Toronto, 1 King's College Circle, M5S 1A8 Toronto, Ontario, Canada; Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, M4N 3M5, Toronto, Ontario, Canada
| | - Simron Singh
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, M5T 3M6 Toronto, Ontario, Canada; ICES, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada; Department of Medicine, University of Toronto, 1 King's College Circle, M5S 1A8 Toronto, Ontario, Canada; Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, M4N 3M5, Toronto, Ontario, Canada
| | - Cindy Lau
- ICES, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada
| | - Lorraine L Lipscombe
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, 155 College Street, M5T 3M6 Toronto, Ontario, Canada; ICES, 2075 Bayview Avenue, M4N 3M5 Toronto, Ontario, Canada; Department of Medicine, University of Toronto, 1 King's College Circle, M5S 1A8 Toronto, Ontario, Canada; Women's College Research Institute, Women's College Hospital, 76 Grenville Street, M5S 1B2 Toronto, Ontario, Canada
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Kuriya B, Tia V, Luo J, Widdifield J, Vigod S, Haroon N. Acute mental health service use is increased in rheumatoid arthritis and ankylosing spondylitis: a population-based cohort study. Ther Adv Musculoskelet Dis 2020; 12:1759720X20921710. [PMID: 32550868 PMCID: PMC7278302 DOI: 10.1177/1759720x20921710] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 02/29/2020] [Indexed: 11/15/2022] Open
Abstract
Background Rheumatoid arthritis (RA) and ankylosing spondylitis (AS) are associated with mental illness. Whether acute mental health (MH) service utilization (i.e. emergency visits or hospitalizations) is increased in RA or AS is not known. Methods Two population-based cohorts were created where individuals with RA (n = 53,240) or AS (n = 13,964) were each matched by age, sex, and year to unaffected comparators (2002-2016). Incidence rates per 1000 person-years (PY) were calculated for a first MH emergency department (ED) presentation or MH hospitalization. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated, adjusting for demographic, clinical, and health service use variables. Results Individuals with RA had higher rates of ED visits [6.59/1000 person-years (PY) versus 4.39/1000 PY in comparators] and hospitalizations for MH (3.11/1000 PY versus 1.80/1000 PY in comparators). Higher rates of ED visits (7.92/1000 PY versus 5.62/1000 PY in comparators) and hospitalizations (3.03/1000 PY versus 1.94/1000 PY in comparators) were also observed in AS. Overall, RA was associated with a 34% increased risk for MH hospitalization (HR 1.34, 95% CI 1.22-1.47) and AS was associated with a 36% increased risk of hospitalization (HR 1.36, 95% CI 1.12-1.63). The risk of ED presentation was attenuated, but remained significant, after adjustment in both RA (HR 1.08, 95% CI 1.01-1.15) and AS (HR 1.14, 95% CI 1.02-1.28). Conclusions RA and AS are both independently associated with a higher rate and risk of acute ED presentations and hospitalizations for mental health conditions. These findings underscore the need for routine evaluation of MH as part of the management of chronic inflammatory arthritis. Additional research is needed to identify the underlying individual characteristics, as well as system-level variation, which may explain these differences, and to help plan interventions to make MH service use more responsive to the needs of individuals living with RA and AS.
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Affiliation(s)
- Bindee Kuriya
- Division of Rheumatology, Sinai Health System, University of Toronto, 60 Murray Street, Room 2-008, Toronto, Ontario M5T 3L9, Canada
| | - Vivian Tia
- Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Jin Luo
- ICES, Toronto, Ontario, Canada
| | | | | | - Nigil Haroon
- Krembil Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada
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Identification of emergency department patients for referral to rapid-access addiction services. CAN J EMERG MED 2020; 22:170-177. [PMID: 32051043 DOI: 10.1017/cem.2019.453] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Substance-related emergency department (ED) visits are rapidly increasing. Despite this finding, many EDs do not have access to on-site addiction services. This study characterized substance-related ED presentations and assessed the ED health care team's perceived need for an on-site rapid-access addiction clinic for direct patient referral from the ED. METHODS This prospectively enrolled cohort study was conducted at an urban tertiary care ED from June to August 2018. Adult ED patients with problematic or high-risk substance use were enrolled by ED staff using a one-page form. The electronic and paper records from the index ED visit were reviewed. The primary outcome evaluated whether the ED health care team would have referred the patient to an on-site rapid-access addiction clinic, if one were available. RESULTS We received 557 enrolment forms and 458 were included in the analysis. Median age was 35 years, and 64% of included patients were male. Alcohol was the most commonly reported substance of problematic or high-risk use (60%). Previous ED visits within 7 days of the index visit were made by 28% of patients. The ED health care team indicated "Yes" for rapid-access addiction clinic referral from the ED for 66% of patients, with a mean of 4.3 patients referred per day during the study period. CONCLUSIONS At least four patients per day would have been referred to an on-site rapid-access addiction clinic from the ED, had one been available. This indicates a gap in care and collaborating with other sites that have successfully implemented this clinic model is an important next step.
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Sporinova B, Manns B, Tonelli M, Hemmelgarn B, MacMaster F, Mitchell N, Au F, Ma Z, Weaver R, Quinn A. Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease. JAMA Netw Open 2019; 2:e199910. [PMID: 31441939 PMCID: PMC6714022 DOI: 10.1001/jamanetworkopen.2019.9910] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
IMPORTANCE A population-based study using validated algorithms to estimate the costs of treating people with chronic disease with and without mental health disorders is needed. OBJECTIVE To determine the association of mental health disorders with health care costs among people with chronic diseases. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study in the Canadian province of Alberta collected data from April 1, 2012, to March 31, 2015, among 991 445 adults 18 years and older with a chronic disease (ie, asthma, congestive heart failure, myocardial infarction, diabetes, epilepsy, hypertension, chronic pulmonary disease, or chronic kidney disease). Data analysis was conducted from October 2017 to August 2018. EXPOSURES Mental health disorder (ie, depression, schizophrenia, alcohol use disorder, or drug use disorder). MAIN OUTCOMES AND MEASURES Resource use, mean total unadjusted and adjusted 3-year health care costs, and mean total unadjusted 3-year costs for hospitalization and emergency department visits for ambulatory care-sensitive conditions. RESULTS Among 991 445 participants, 156 296 (15.8%) had a mental health disorder. Those with no mental health disorder were older (mean [SD] age, 58.1 [17.6] years vs 55.4 [17.0] years; P < .001) and less likely to be women (50.4% [95% CI, 50.3%-50.5%] vs 57.7% [95% CI, 57.4%-58.0%]; P < .001) than those with mental health disorders. For those with a mental health disorder, mean total 3-year adjusted costs were $38 250 (95% CI, $36 476-$39 935), and for those without a mental health disorder, mean total 3-year adjusted costs were $22 280 (95% CI, $21 780-$22 760). Having a mental health disorder was associated with significantly higher resource use, including hospitalization and emergency department visit rates, length of stay, and hospitalization for ambulatory care-sensitive conditions. Higher resource use by patients with mental health disorders was not associated with health care presentations owing to chronic diseases compared with patients without a mental health disorder (chronic disease hospitalization rate per 1000 patient days, 0.11 [95% CI, 0.11-0.12] vs 0.06 [95% CI, 0.06-0.06]; P < .001; overall hospitalization rate per 1000 patient days, 0.88 [95% CI, 0.87-0.88] vs 0.43 [95% CI, 0.43-0.43]; P < .001). CONCLUSIONS AND RELEVANCE This study suggests that mental health disorders are associated with substantially higher resource utilization and health care costs among patients with chronic diseases. These findings have clinical and health policy implications.
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Affiliation(s)
- Barbora Sporinova
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Braden Manns
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Edmonton, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marcello Tonelli
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Brenda Hemmelgarn
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Frank MacMaster
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Strategic Clinical Network for Addictions and Mental Health, Alberta Health Services, Edmonton, Alberta, Canada
| | - Nicholas Mitchell
- Strategic Clinical Network for Addictions and Mental Health, Alberta Health Services, Edmonton, Alberta, Canada
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Flora Au
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zhihai Ma
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Robert Weaver
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Amity Quinn
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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de Oliveira C, Cheng J, Kurdyak P. Determining preventable acute care spending among high-cost patients in a single-payer public health care system. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2019; 20:869-878. [PMID: 30953217 DOI: 10.1007/s10198-019-01051-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 04/01/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Research has shown that a small proportion of patients account for the majority of health care spending. The objective of this analysis was to determine the amount and proportion of preventable acute care spending among high-cost patients. METHODS We examined a population-based sample of all adult high-cost patients using linked administrative health care data housed at ICES in Toronto, Ontario. High-cost patients were defined as those in and above the 90th percentile of the cost distribution. Preventable acute care (emergency department visits and hospitalisations) was defined using validated algorithms. We estimated costs of preventable and non-preventable acute care for high- and non-high-cost patients by category of visit/condition. We replicated our analysis for persistent high-cost patients and high-cost patients under 65 years and those 65 years and older. RESULTS We found that 10% of all acute care spending among high-cost patients was considered preventable; this figure was higher for non-high-cost patients (25%). The proportion of preventable acute care spending was higher for persistent high-cost patients (14%) and those 65 years and older (12%). Among ED visits, the largest portion of preventable care spending was for primary care treatable conditions; for hospitalisations, the highest proportions of preventable care spending were for COPD, bacterial pneumonia and urinary tract infections. CONCLUSIONS Although high-cost patients account for a substantial proportion of health care costs, there seems to be limited scope to prevent acute care spending among this patient population. Nonetheless, care coordination and improved access to primary care, and disease prevention may prevent some acute care.
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Affiliation(s)
- Claire de Oliveira
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Russell Street, Room T414, Toronto, ON, M5S 2S1, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
- ICES, Toronto, Canada.
| | - Joyce Cheng
- ICES, Toronto, Canada
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Russell Street, Room T304, Toronto, ON, M5S 2S1, Canada
| | - Paul Kurdyak
- ICES, Toronto, Canada
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, 33 Russell Street, Room T305, Toronto, ON, M5S 2S1, Canada
- Department of Psychiatry and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
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Muratov S, Lee J, Holbrook A, Paterson JM, Guertin JR, Mbuagbaw L, Gomes T, Khuu W, Pequeno P, Tarride JE. Unplanned index hospital admissions among new older high-cost health care users in Ontario: a population-based matched cohort study. CMAJ Open 2019; 7:E537-E545. [PMID: 31451447 PMCID: PMC6710084 DOI: 10.9778/cmajo.20180185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Most health care spending is concentrated within a small group of high-cost health care users. To inform health policies, we examined the characteristics of index hospital admissions and their predictors among incident older high-cost users compared to older non-high-cost users in Ontario. METHODS Using Ontario administrative data, we identified incident high-cost users aged 66 years or more and matched them 1:3 on age, gender and Local Health Integration Network with non-high-cost users aged 66 years or more. We defined high-cost users as patients within the top 5% most costly high-cost users during fiscal year 2013/14 but not during 2012/13. An index hospital admission, the main outcome, was defined as the first unplanned hospital admission during 2013/14, with no hospital admissions in the preceding 12 months. Descriptively, we analyzed the attributes of index hospital admissions, including costs. We identified predictors of index hospital admissions using stratified logistic regression. RESULTS Over half (95 375/175 847 [54.2%]) of all high-cost users had an unplanned index hospital admission, compared to 8838/527 541 (1.7%) of non-high-cost users. High-cost users had a poorer health status, longer acute length of stay (mean 7.5 d v. 2.9 d) and more frequent designation as alternate level of care before discharge (20.8% v. 1.7%) than did non-high-cost users. Ten diagnosis codes accounted for roughly one-third of the index hospital admission costs in both cohorts. Although many predictors were similar between the cohorts, a lower risk of an index hospital admission was associated with residence in long-term care, attachment to a primary care provider and recent consultation by a geriatrician among high-cost users. INTERPRETATION The high prevalence of index hospital admissions and the corresponding costs are a distinctive feature of incident older high-cost users. Improved access to specialist outpatient care, home-based social care and long-term care when required are worth further investigation.
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Affiliation(s)
- Sergei Muratov
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
| | - Justin Lee
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Anne Holbrook
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - J Michael Paterson
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Jason R Guertin
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Lawrence Mbuagbaw
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Tara Gomes
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Wayne Khuu
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Priscila Pequeno
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
| | - Jean-Eric Tarride
- Department of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont
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