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Kern LM, Riffin C, Phongtankuel V, Aucapina JE, Banerjee S, Ringel JB, Tobin JN, Fisseha S, Meiri H, Bell SK, Casale PN. Gaps in the coordination of care for people living with dementia. J Am Geriatr Soc 2024. [PMID: 39073783 DOI: 10.1111/jgs.19105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/13/2024] [Accepted: 07/04/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND One-third of people living with dementia (PLWD) have highly fragmented care (i.e., care spread across many ambulatory providers without a dominant provider). It is unclear whether PLWD with fragmented care and their caregivers perceive gaps in communication among the providers involved and whether any such gaps are perceived as benign inconveniences or as clinically meaningful, leading to adverse events. We sought to determine the frequency of perceived gaps in communication (coordination) among providers and the frequency of self-reported adverse events attributed to poor coordination. METHODS We conducted a cross-sectional study in the context of a Medicare accountable care organization (ACO) in New York in 2022-2023. We included PLWD who were attributed to the ACO, had fragmented care in the past year by claims (reversed Bice-Boxerman Index ≥0.86), and were in a pragmatic clinical trial on care management. We used an existing survey instrument to determine perceptions of care coordination and perceptions of four adverse events (repeat tests, drug-drug interactions, emergency department visits, and hospital admissions). ACO care managers collected data by telephone, using clinical judgment to determine whether each survey respondent was the patient or a caregiver. We used descriptive statistics to summarize results. RESULTS Of 167 eligible PLWD, surveys were completed for 97 (58.1%). Of those, 88 (90.7%) reported having >1 ambulatory visit and >1 ambulatory provider and were thus at risk for gaps in care coordination and included in the analysis. Of those, 23 respondents were patients (26.1%) and 64 were caregivers (72.7%), with one respondent's role missing. Overall, 57% of respondents reported a problem (or "gap") in the coordination of care and, separately, 18% reported an adverse event that they attributed to poor care coordination. CONCLUSION Gaps in coordination of care for PLWD are reported to be very common and often perceived as hazardous.
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Affiliation(s)
- Lisa M Kern
- Weill Cornell Medicine, New York, New York, USA
| | | | | | | | | | | | - Jonathan N Tobin
- Clinical Directors Network, New York, New York, USA
- Center for Clinical and Translational Science, The Rockefeller University Center for Clinical and Translational Science, New York, New York, USA
| | | | | | - Sigall K Bell
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Paul N Casale
- Weill Cornell Medicine, New York, New York, USA
- NewYork Quality Care, New York, New York, USA
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Hur R, Kim KH, Jin DL, Yoon SJ. Impact of Comprehensive Primary Care in Patients With Complex Chronic Diseases: Nationwide Cohort Database Analysis in Korea. J Korean Med Sci 2024; 39:e158. [PMID: 38742292 DOI: 10.3346/jkms.2024.39.e158] [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: 02/23/2024] [Accepted: 04/21/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND More comprehensive healthcare services should be provided to patients with complex chronic diseases to better manage their complex care needs. This study examined the effectiveness of comprehensive primary care in patients with complex chronic diseases. METHODS We obtained 2002-2019 data from the National Health Insurance Sample Cohort Database. Participants were individuals aged ≥ 30 years with at least two of the following diseases: hypertension, diabetes mellitus, and hyperlipidemia. Doctors' offices were classified into specialized, functional, and gray-zone based on patient composition and major diagnostic categories. The Cox proportional hazard model was used to examine the association between office type and hospital admission due to all-causes, severe cardiovascular or cerebrovascular diseases (CVDs), hypertension, diabetes mellitus, or hyperlipidemia. RESULTS The mean patient age was 60.3 years; 55.8% were females. Among the 24,906 patients, 12.8%, 38.3%, and 49.0% visited specialized, functional, and gray-zone offices, respectively. Patients visiting functional offices had a lower risk of all-cause admission (hazard ratio [HR], 0.935; 95% confidence interval [CI], 0.895-0.976) and CVD-related admission (HR, 0.908; 95% CI, 0.844-0.977) than those visiting specialized offices. However, the admission risks for hypertension, diabetes mellitus, and hyperlipidemia were not significantly different among office types. CONCLUSION This study provides evidence of the effectiveness of primary care in functional doctors' offices for patients with complex chronic diseases beyond a single chronic disease and suggests the need for policies to strengthen functional offices providing comprehensive care.
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Affiliation(s)
- Ryun Hur
- Department of Public Health, Graduate School of Korea University, Seoul, Korea
| | - Kyoung-Hoon Kim
- Department of Health Administration, College of Nursing and Health, Kongju National University, Gongju, Korea
| | - Dal-Lae Jin
- Department of Public Health, Graduate School of Korea University, Seoul, Korea
- Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul, Korea
| | - Seok-Jun Yoon
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
- Institute for Future Public Health, Graduate School of Public Health, Korea University, Seoul, Korea.
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Sandall J, Fernandez Turienzo C, Devane D, Soltani H, Gillespie P, Gates S, Jones LV, Shennan AH, Rayment-Jones H. Midwife continuity of care models versus other models of care for childbearing women. Cochrane Database Syst Rev 2024; 4:CD004667. [PMID: 38597126 PMCID: PMC11005019 DOI: 10.1002/14651858.cd004667.pub6] [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] [Indexed: 04/11/2024]
Abstract
BACKGROUND Midwives are primary providers of care for childbearing women globally and there is a need to establish whether there are differences in effectiveness between midwife continuity of care models and other models of care. This is an update of a review published in 2016. OBJECTIVES To compare the effects of midwife continuity of care models with other models of care for childbearing women and their infants. SEARCH METHODS We searched the Cochrane Pregnancy and Childbirth Trials Register, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform (ICTRP) (17 August 2022), as well as the reference lists of retrieved studies. SELECTION CRITERIA All published and unpublished trials in which pregnant women are randomly allocated to midwife continuity of care models or other models of care during pregnancy and birth. DATA COLLECTION AND ANALYSIS Two authors independently assessed studies for inclusion criteria, scientific integrity, and risk of bias, and carried out data extraction and entry. Primary outcomes were spontaneous vaginal birth, caesarean section, regional anaesthesia, intact perineum, fetal loss after 24 weeks gestation, preterm birth, and neonatal death. We used GRADE to rate the certainty of evidence. MAIN RESULTS We included 17 studies involving 18,533 randomised women. We assessed all studies as being at low risk of scientific integrity/trustworthiness concerns. Studies were conducted in Australia, Canada, China, Ireland, and the United Kingdom. The majority of the included studies did not include women at high risk of complications. There are three ongoing studies targeting disadvantaged women. Primary outcomes Based on control group risks observed in the studies, midwife continuity of care models, as compared to other models of care, likely increase spontaneous vaginal birth from 66% to 70% (risk ratio (RR) 1.05, 95% confidence interval (CI) 1.03 to 1.07; 15 studies, 17,864 participants; moderate-certainty evidence), likelyreduce caesarean sections from 16% to 15% (RR 0.91, 95% CI 0.84 to 0.99; 16 studies, 18,037 participants; moderate-certainty evidence), and likely result in little to no difference in intact perineum (29% in other care models and 31% in midwife continuity of care models, average RR 1.05, 95% CI 0.98 to 1.12; 12 studies, 14,268 participants; moderate-certainty evidence). There may belittle or no difference in preterm birth (< 37 weeks) (6% under both care models, average RR 0.95, 95% CI 0.78 to 1.16; 10 studies, 13,850 participants; low-certainty evidence). We arevery uncertain about the effect of midwife continuity of care models on regional analgesia (average RR 0.85, 95% CI 0.79 to 0.92; 15 studies, 17,754 participants, very low-certainty evidence), fetal loss at or after 24 weeks gestation (average RR 1.24, 95% CI 0.73 to 2.13; 12 studies, 16,122 participants; very low-certainty evidence), and neonatal death (average RR 0.85, 95% CI 0.43 to 1.71; 10 studies, 14,718 participants; very low-certainty evidence). Secondary outcomes When compared to other models of care, midwife continuity of care models likely reduce instrumental vaginal birth (forceps/vacuum) from 14% to 13% (average RR 0.89, 95% CI 0.83 to 0.96; 14 studies, 17,769 participants; moderate-certainty evidence), and may reduceepisiotomy 23% to 19% (average RR 0.83, 95% CI 0.77 to 0.91; 15 studies, 17,839 participants; low-certainty evidence). When compared to other models of care, midwife continuity of care models likelyresult in little to no difference inpostpartum haemorrhage (average RR 0.92, 95% CI 0.82 to 1.03; 11 studies, 14,407 participants; moderate-certainty evidence) and admission to special care nursery/neonatal intensive care unit (average RR 0.89, 95% CI 0.77 to 1.03; 13 studies, 16,260 participants; moderate-certainty evidence). There may be little or no difference in induction of labour (average RR 0.92, 95% CI 0.85 to 1.00; 14 studies, 17,666 participants; low-certainty evidence), breastfeeding initiation (average RR 1.06, 95% CI 1.00 to 1.12; 8 studies, 8575 participants; low-certainty evidence), and birth weight less than 2500 g (average RR 0.92, 95% CI 0.79 to 1.08; 9 studies, 12,420 participants; low-certainty evidence). We are very uncertain about the effect of midwife continuity of care models compared to other models of care onthird or fourth-degree tear (average RR 1.10, 95% CI 0.81 to 1.49; 7 studies, 9437 participants; very low-certainty evidence), maternal readmission within 28 days (average RR 1.52, 95% CI 0.78 to 2.96; 1 study, 1195 participants; very low-certainty evidence), attendance at birth by a known midwife (average RR 9.13, 95% CI 5.87 to 14.21; 11 studies, 9273 participants; very low-certainty evidence), Apgar score less than or equal to seven at five minutes (average RR 0.95, 95% CI 0.72 to 1.24; 13 studies, 12,806 participants; very low-certainty evidence) andfetal loss before 24 weeks gestation (average RR 0.82, 95% CI 0.67 to 1.01; 12 studies, 15,913 participants; very low-certainty evidence). No maternal deaths were reported across three studies. Although the observed risk of adverse events was similar between midwifery continuity of care models and other models, our confidence in the findings was limited. Our confidence in the findings was lowered by possible risks of bias, inconsistency, and imprecision of some estimates. There were no available data for the outcomes: maternal health status, neonatal readmission within 28 days, infant health status, and birth weight of 4000 g or more. Maternal experiences and cost implications are described narratively. Women receiving care from midwife continuity of care models, as opposed to other care models, generally reported more positive experiences during pregnancy, labour, and postpartum. Cost savings were noted in the antenatal and intrapartum periods in midwife continuity of care models. AUTHORS' CONCLUSIONS Women receiving midwife continuity of care models were less likely to experience a caesarean section and instrumental birth, and may be less likely to experience episiotomy. They were more likely to experience spontaneous vaginal birth and report a positive experience. The certainty of some findings varies due to possible risks of bias, inconsistencies, and imprecision of some estimates. Future research should focus on the impact on women with social risk factors, and those at higher risk of complications, and implementation and scaling up of midwife continuity of care models, with emphasis on low- and middle-income countries.
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Affiliation(s)
- Jane Sandall
- Department of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Cristina Fernandez Turienzo
- Department of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Declan Devane
- School of Nursing and Midwifery, University of Galway, Galway, Ireland
- Evidence Synthesis Ireland and Cochrane Ireland, University of Galway, Galway, Ireland
| | - Hora Soltani
- Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, UK
| | - Paddy Gillespie
- Health Economics and Policy Analysis Centre, School of Business and Economics, Institute for Lifecourse and Society, University of Galway, Galway, Ireland
| | - Simon Gates
- Cancer Research UK Clinical Trials Unit, School of Cancer Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Leanne V Jones
- Cochrane Pregnancy and Childbirth, Department of Women's and Children's Health, The University of Liverpool, Liverpool, UK
| | - Andrew H Shennan
- Department of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Hannah Rayment-Jones
- Department of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
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Kern LM, Ringel JB, Rajan M, Casalino LP, Pesko MF, Pinheiro LC, Colantonio LD, Safford MM. Ambulatory Care Fragmentation and Total Health Care Costs. Med Care 2024; 62:277-284. [PMID: 38458986 PMCID: PMC10926993 DOI: 10.1097/mlr.0000000000001982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
BACKGROUND The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.
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Ljungholm L, Årestedt K, Fagerström C, Djukanovic I, Ekstedt M. Measuring patients' experiences of continuity of care in a primary care context-Development and evaluation of a patient-reported experience measure. J Adv Nurs 2024; 80:387-398. [PMID: 37485735 DOI: 10.1111/jan.15792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Continuity of care is viewed as a hallmark of high-quality care in the primary care context. Measures to evaluate the quality of provider performance are scarce, and it is unclear how the assessments correlate with patients' experiences of care as coherent and interconnected over time, consistent with their preferences and care needs. AIM To develop and evaluate a patient-reported experience measure of continuity of care in primary care for patients with complex care needs. METHOD The study was conducted in two stages: (1) development of the instrument based on theory and empirical studies and reviewed for content validity (16 patients with complex care needs and 8 experts) and (2) psychometric evaluation regarding factor structure, test-retest reliability, internal consistency reliability, and convergent validity. In all, 324 patients participated in the psychometric evaluation. RESULTS The Patient Experienced Continuity of care Questionnaire (PECQ) contains 20 items clustered in four dimensions of continuity of care measuring Information (four items), Relation (six items), Management (five items), and Knowledge (five items). Overall, the hypothesized factor structure was indicated. The PECQ also showed satisfactory convergent validity, internal consistency, and stability. CONCLUSION/IMPLICATIONS The PECQ is a multidimensional patient experience instrument that can provide information on various dimensions useful for driving quality improvement strategies in the primary care context for patients with complex care needs. PATIENT OR PUBLIC CONTRIBUTION Patients have participated in the content validation of the items.
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Affiliation(s)
- Linda Ljungholm
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
| | - Kristofer Årestedt
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
- Department of Research, Region Kalmar County, Kalmar, Sweden
| | - Cecilia Fagerström
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
- Department of Research, Region Kalmar County, Kalmar, Sweden
| | - Ingrid Djukanovic
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
| | - Mirjam Ekstedt
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
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Alipour-Haris G, Armstrong MJ, Goodin AJ, Guo JS, Brown JD. End-of-Life Healthcare Utilization in Lewy Body Dementia. J Alzheimers Dis 2024; 101:133-145. [PMID: 39121116 PMCID: PMC11371273 DOI: 10.3233/jad-240194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2024]
Abstract
Background Lewy body dementia (LBD) is the second most common neurodegenerative dementia in the US, presenting unique end-of-life challenges. Objective This study examined healthcare utilization and care continuity in the last year of life in LBD. Methods Medicare claims for enrollees with LBD, continuously enrolled in the year preceding death, were examined from 2011-2018. We assessed hospital stays, emergency department (ED) visits, intensive care unit (ICU) admissions, life-extending procedures, medications, and care continuity. Results We identified 45,762 LBD decedents, predominantly female (51.8%), White (85.9%), with average age of 84.1 years (SD 7.5). There was a median of 2 ED visits (IQR 1-5) and 1 inpatient stay (IQR 0-2). Higher age was inversely associated with ICU stays (Odds Ratio [OR] 0.96; 95% Confidence Interval [CI] 0.96-0.97) and life-extending procedures (OR 0.96; 95% CI 0.95-0.96). Black and Hispanic patients experienced higher rates of ED visits, inpatient hospitalizations, ICU admissions, life-extending procedures, and in-hospital deaths relative to White patients. On average, 15 (7.5) medications were prescribed in the last year. Enhanced care continuity correlated with reduced hospital (OR 0.72; 95% CI 0.70-0.74) and ED visits (OR 0.71; 95% CI 0.69-0.87) and fewer life-extending procedures (OR 0.71; 95% CI 0.64-0.79). Conclusions This study underscored the complex healthcare needs of people with LBD during their final year, which was influenced by age and race. Care continuity may reduce hospital and ED visits and life-extending procedures.
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Affiliation(s)
- Golnoosh Alipour-Haris
- Center of Drug Evaluation & Safety and Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, FL, 32611, USA
| | - Melissa J. Armstrong
- Departments of Neurology and Health Outcomes & Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, 32611, USA
- Department of Biostatistics, University of Florida College of Public Health & Health Professions and College of Medicine, Gainesville, Florida, 32611, USA
| | - Amie J. Goodin
- Center of Drug Evaluation & Safety and Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, FL, 32611, USA
| | - Jingchuan Serena Guo
- Center of Drug Evaluation & Safety and Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, FL, 32611, USA
| | - Joshua D. Brown
- Center of Drug Evaluation & Safety and Department of Pharmaceutical Outcomes & Policy, University of Florida College of Pharmacy, Gainesville, FL, 32611, USA
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Pahlavanyali S, Hetlevik Ø, Baste V, Blinkenberg J, Hunskaar S. Continuity of care and mortality for patients with chronic disease: an observational study using Norwegian registry data. Fam Pract 2023; 40:698-706. [PMID: 37074143 PMCID: PMC10745252 DOI: 10.1093/fampra/cmad025] [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] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND Research on continuity of care (CoC) is mainly conducted in primary care and has received little acknowledgment in other levels of care. This study sought to investigate CoC across care levels for patients with selected chronic diseases, along with its association with mortality. METHODS In a registry-based cohort study, patients with ≥1 consultation in primary or specialist healthcare or hospital admission with asthma, chronic obstructive pulmonary disease (COPD), diabetes mellitus, or heart failure in 2012 were linked to disease-related consultation data in 2013-2016. CoC was measured by Usual Provider of Care index (UPC) and Bice-Boxermann continuity of care score (COCI). Values equal to one were categorized into one group and the rest into three equal groups (tertiles). The association with mortality was determined by Cox regression models. RESULTS The highest mean UPCtotal was measured for patients with diabetes mellitus (0.58) and the lowest for those with asthma (0.46). The population with heart failure had the highest death rate (26.5). In adjusted Cox regression analyses for COPD, mortality was 2.6 times higher (95% CI 2.25-3.04) for patients in the lowest tertile of continuity compared to those with UPCtotal = 1. Patients with diabetes mellitus and heart failure showed similar results. CONCLUSION CoC was moderate to high for disease-related contacts across care levels. A higher mortality associated with lower CoC was observed for patients with COPD, diabetes mellitus, and heart failure. A similar, but not statistically significant trend was found for patients with asthma. This study suggests that higher CoC across levels of care can decrease mortality.
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Affiliation(s)
- Sahar Pahlavanyali
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Øystein Hetlevik
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Valborg Baste
- National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway
| | - Jesper Blinkenberg
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway
| | - Steinar Hunskaar
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway
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Lapointe-Shaw L, Salahub C, Austin PC, Bai L, Bhatia RS, Bird C, Glazier RH, Hedden L, Ivers NM, Martin D, Shuldiner J, Spithoff S, Tadrous M, Kiran T. Virtual Visits With Own Family Physician vs Outside Family Physician and Emergency Department Use. JAMA Netw Open 2023; 6:e2349452. [PMID: 38150254 PMCID: PMC10753397 DOI: 10.1001/jamanetworkopen.2023.49452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/13/2023] [Indexed: 12/28/2023] Open
Abstract
Importance Virtual visits became more common after the COVID-19 pandemic, but it is unclear in what context they are best used. Objective To investigate whether there was a difference in subsequent emergency department use between patients who had a virtual visit with their own family physician vs those who had virtual visits with an outside physician. Design, Setting, and Participants This propensity score-matched cohort study was conducted among all Ontario residents attached to a family physician as of April 1, 2021, who had a virtual family physician visit in the subsequent year (to March 31, 2022). Exposure The type of virtual family physician visit, with own or outside physician, was determined. In a secondary analysis, own physician visits were compared with visits with a physician working in direct-to-consumer telemedicine. Main Outcome and Measure The primary outcome was an emergency department visit within 7 days after the virtual visit. Results Among 5 229 240 Ontario residents with a family physician and virtual visit, 4 173 869 patients (79.8%) had a virtual encounter with their own physician (mean [SD] age, 49.3 [21.5] years; 2 420 712 females [58.0%]) and 1 055 371 patients (20.2%) had an encounter with an outside physician (mean [SD] age, 41.8 [20.9] years; 605 614 females [57.4%]). In the matched cohort of 1 885 966 patients, those who saw an outside physician were 66% more likely to visit an emergency department within 7 days than those who had a virtual visit with their own physician (30 748 of 942 983 patients [3.3%] vs 18 519 of 942 983 patients [2.0%]; risk difference, 1.3% [95% CI, 1.2%-1.3%]; relative risk, 1.66 [95% CI, 1.63-1.69]). The increase in the risk of emergency department visits was greater when comparing 30 216 patients with definite direct-to-consumer telemedicine visits with 30 216 patients with own physician visits (risk difference, 4.1% [95% CI, 3.8%-4.5%]; relative risk, 2.99 [95% CI, 2.74-3.27]). Conclusions and Relevance In this study, patients whose virtual visit was with an outside physician were more likely to visit an emergency department in the next 7 days than those whose virtual visit was with their own family physician. These findings suggest that primary care virtual visits may be best used within an existing clinical relationship.
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Affiliation(s)
- Lauren Lapointe-Shaw
- University Health Network, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Women’s College Institute for Health System Solutions and Virtual Care, Women’s College Hospital, Toronto, Ontario, Canada
- Division of General Internal Medicine and Geriatrics, University Health Network and Sinai Health System, Toronto, Ontario, Canada
| | | | - Peter C. Austin
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Li Bai
- ICES, Toronto, Ontario, Canada
| | - R. Sacha Bhatia
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Cardiology, University Health Network, Toronto, Ontario, Canada
| | | | - Richard H. Glazier
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- MAP Centre for Urban Health Solutions, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Lindsay Hedden
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Noah M. Ivers
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Women’s College Institute for Health System Solutions and Virtual Care, Women’s College Hospital, Toronto, Ontario, Canada
- Department of Family Medicine, Women’s College Hospital, Toronto, Ontario, Canada
- Women’s College Research Institute, Women’s College Hospital, Toronto, Ontario, Canada
| | - Danielle Martin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Family Medicine, Women’s College Hospital, Toronto, Ontario, Canada
| | - Jennifer Shuldiner
- Women’s College Institute for Health System Solutions and Virtual Care, Women’s College Hospital, Toronto, Ontario, Canada
| | - Sheryl Spithoff
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Family Medicine, Women’s College Hospital, Toronto, Ontario, Canada
| | - Mina Tadrous
- ICES, Toronto, Ontario, Canada
- Women’s College Institute for Health System Solutions and Virtual Care, Women’s College Hospital, Toronto, Ontario, Canada
- Women’s College Research Institute, Women’s College Hospital, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Tara Kiran
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- MAP Centre for Urban Health Solutions, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
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Agha L, Ericson KM, Zhao X. The Impact of Organizational Boundaries on Healthcare Coordination and Utilization. AMERICAN ECONOMIC JOURNAL. ECONOMIC POLICY 2023; 15:184-214. [PMID: 37547426 PMCID: PMC10403257 DOI: 10.1257/pol.20200841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
We measure organizational concentration-the distribution of a patient's healthcare across organizations-to examine how firm boundaries affect healthcare efficiency. First, when patients move to regions where outpatient visits are typically concentrated within a small set of firms, their healthcare utilization falls. Second, for patients whose PCPs exit the market, switching to a PCP with 1 standard deviation higher organizational concentration reduces utilization by 21%. This finding is robust to controlling for the spread of healthcare across providers. Increases in organizational concentration predict improvements in diabetes care and are not associated with greater use of emergency department or inpatient care.
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Affiliation(s)
- Leila Agha
- Department of Economics, Dartmouth College, and NBER
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Ganguli I, Crawford ML, Usadi B, Mulligan KL, O'Malley AJ, Yang CWW, Fisher ES, Morden NE. Who's Accountable? Low-Value Care Received By Medicare Beneficiaries Outside Of Their Attributed Health Systems. Health Aff (Millwood) 2023; 42:1128-1139. [PMID: 37549329 PMCID: PMC10860675 DOI: 10.1377/hlthaff.2022.01319] [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] [Indexed: 08/09/2023]
Abstract
Policy makers and payers increasingly hold health systems accountable for spending and quality for their attributed beneficiaries. Low-value care-medical services that offer little or no benefit and have the potential for harm in specific clinical scenarios-received outside of these systems could threaten success on both fronts. Using national Medicare data for fee-for-service beneficiaries ages sixty-five and older and attributed to 595 US health systems, we describe where and from whom they received forty low-value services during 2017-18 and identify factors associated with out-of-system receipt. Forty-three percent of low-value services received by attributed beneficiaries originated from out-of-system clinicians: 38 percent from specialists, 4 percent from primary care physicians, and 1 percent from advanced practice clinicians. Recipients of low-value care were more likely to obtain that care out of system if age 75 or older (versus ages 65-74), male (versus female), non-Hispanic White (versus other races or ethnicities), rural dwelling (versus metropolitan dwelling), more medically complex, or experiencing lower continuity of care. However, out-of-system service receipt was not associated with recipients' health systems' accountable care organization status. Health systems might improve quality and reduce spending for their attributed beneficiaries by addressing out-of-system receipt of low-value care-for example, by improving continuity.
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Affiliation(s)
- Ishani Ganguli
- Ishani Ganguli , Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | | | | | | | | | - Nancy E Morden
- Nancy E. Morden, UnitedHealthcare, Minnetonka, Minnesota
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11
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Bond AM, Casalino LP, Tai-Seale M, Unruh MA, Zhang M, Qian Y, Kronick R. Physician Turnover in the United States. Ann Intern Med 2023. [PMID: 37429029 DOI: 10.7326/m22-2504] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Medical groups, health systems, and professional associations are concerned about potential increases in physician turnover, which may affect patient access and quality of care. OBJECTIVE To examine whether turnover has changed over time and whether it is higher for certain types of physicians or practice settings. DESIGN The authors developed a novel method using 100% of traditional Medicare billing to create national estimates of turnover. Standardized turnover rates were compared by physician, practice, and patient characteristics. SETTING Traditional Medicare, 2010 to 2020. PARTICIPANTS Physicians billing traditional Medicare. MEASUREMENTS Indicators of physician turnover-physicians who stopped practicing and those who moved from one practice to another-and their sum. RESULTS The annual rate of turnover increased from 5.3% to 7.2% between 2010 and 2014, was stable through 2017, and increased modestly in 2018 to 7.6%. Most of the increase from 2010 to 2014 came from physicians who stopped practicing increasing from 1.6% to 3.1%; physicians moving increased modestly from 3.7% to 4.2%. Modest but statistically significant (P < 0.001) differences existed across rurality, physician sex, specialty, and patient characteristics. In the second and third quarters of 2020, quarterly turnover was slightly lower than in the corresponding quarters of 2019. LIMITATION Measurement was based on traditional Medicare claims. CONCLUSION Over the past decade, physician turnover rates have had periods of increase and stability. These early data, covering the first 3 quarters of 2020, give no indication yet of the COVID-19 pandemic increasing turnover, although continued tracking of turnover is warranted. This novel method will enable future monitoring and further investigations into turnover. PRIMARY FUNDING SOURCE The Physicians Foundation Center for the Study of Physician Practice and Leadership.
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Affiliation(s)
- Amelia M Bond
- Division of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York (A.M.B., L.P.C., M.A.U., M.Z.)
| | - Lawrence P Casalino
- Division of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York (A.M.B., L.P.C., M.A.U., M.Z.)
| | - Ming Tai-Seale
- Department of Family Medicine, School of Medicine, University of California San Diego, La Jolla, California (M.T.)
| | - Mark Aaron Unruh
- Division of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York (A.M.B., L.P.C., M.A.U., M.Z.)
| | - Manyao Zhang
- Division of Health Policy and Economics, Department of Population Health Sciences, Weill Cornell Medical College, New York, New York (A.M.B., L.P.C., M.A.U., M.Z.)
| | - Yuting Qian
- Department of Health Policy and Management, Yale University, New Haven, Connecticut (Y.Q.)
| | - Richard Kronick
- Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California (R.K.)
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12
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Lapointe-Shaw L, Kiran T, Salahub C, Austin PC, Berthelot S, Desveaux L, Lofters A, Maclure M, Martin D, McBrien KA, McCracken RK, Rahman B, Schultz SE, Shuldiner J, Tadrous M, Bird C, Paterson JM, Bhatia RS, Thakkar NA, Na Y, Ivers NM. Walk-in clinic patient characteristics and utilization patterns in Ontario, Canada: a cross-sectional study. CMAJ Open 2023; 11:E345-E356. [PMID: 37171909 PMCID: PMC10139081 DOI: 10.9778/cmajo.20220095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/14/2023] Open
Abstract
BACKGROUND Walk-in clinics are common in North America and are designed to provide acute episodic care without an appointment. We sought to describe a sample of walk-in clinic patients in Ontario, Canada, which is a setting with high levels of primary care attachment. METHODS We performed a cross-sectional study using health administrative data from 2019. We compared the sociodemographic characteristics and health care utilization patterns of patients attending 1 of 72 walk-in clinics with those of the general Ontario population. We examined the subset of patients who were enrolled with a family physician and compared walk-in clinic visits to family physician visits. RESULTS Our study found that 562 781 patients made 1 148 151 visits to the included walk-in clinics. Most (70%) patients who attended a walk-in clinic had an enrolling family physician. Walk-in clinic patients were younger (mean age 36 yr v. 41 yr, standardized mean difference [SMD] 0.24), yet had greater health care utilization (moderate and high use group 74% v. 65%, SMD 0.20) than the general Ontario population. Among enrolled Ontarians, walk-in patients had more comorbidities (moderate and high count 50% v. 45%, SMD 0.10), lived farther from their enrolling physician (median 8 km v. 6 km, SMD 0.21) and saw their enrolling physician less in the previous year (any visit 67% v. 80%, SMD 0.30). Walk-in encounters happened more often after hours (16% v. 9%, SMD 0.20) and on weekends (18% v. 5%, SMD 0.45). Walk-in clinics were more often within 3 km of patients' homes than enrolling physicians' offices (0 to < 3 km: 32% v. 22%, SMD 0.21). INTERPRETATION Our findings suggest that proximity of walk-in clinics and after-hours access may be contributing to walk-in clinic use among patients enrolled with a family physician. These findings have implications for policy development to improve the integration of walk-in clinics and longitudinal primary care.
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Affiliation(s)
- Lauren Lapointe-Shaw
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont.
| | - Tara Kiran
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Christine Salahub
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Peter C Austin
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Simon Berthelot
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Laura Desveaux
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Aisha Lofters
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Malcolm Maclure
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Danielle Martin
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Kerry A McBrien
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Rita K McCracken
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Bahram Rahman
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Susan E Schultz
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Jennifer Shuldiner
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Mina Tadrous
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Cherryl Bird
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - J Michael Paterson
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - R Sacha Bhatia
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Niels A Thakkar
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Yingbo Na
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
| | - Noah M Ivers
- ICES (Lapointe-Shaw, Kiran, Austin, Schultz, Tadrous, Paterson, Bhatia, Na, Ivers), Toronto, Ont.; Institute of Health Policy, Management and Evaluation (Lapointe-Shaw, Kiran, Austin, Desveaux, Martin, Paterson, Bhatia, Ivers), University of Toronto, Toronto, Ont.; Division of General Internal Medicine and Geriatrics (Lapointe-Shaw), University Health Network and Sinai Health System, Toronto, Ont.; Department of Medicine (Lapointe-Shaw, Bhatia), University of Toronto, Toronto, Ont.; Women's College Institute for Health System Solutions and Virtual Care (Lapointe-Shaw, Martin, Shuldiner, Tadrous, Ivers), Women's College Hospital, Toronto, Ont.; Toronto General Hospital Research Institute, University Health Network (Lapointe-Shaw, Salahub), Toronto, Ont.; Peter Munk Cardiac Centre, University Health Network (Bhatia), Toronto, Ont.; Department of Family and Community Medicine (Kiran) and MAP Centre for Urban Health Solutions (Kiran), St. Michael's Hospital, Toronto, Ont.; Département de médecine familiale et de médecine d'urgence (Berthelot), Université Laval, Quebec City, Qué.; Institute for Better Health, Trillium Health Partners (Desveaux), Mississauga, Ont.; Department of Family and Community Medicine (Lofters, Martin, Ivers, Kiran), University of Toronto, Toronto, Ont.; Peter Gilgan Centre for Women's Cancers (Lofters), Women's College Hospital, Toronto, Ont.; Department of Anesthesiology, Pharmacology and Therapeutics (Maclure), University of British Columbia, Vancouver, BC; Department of Family Medicine (Martin, Ivers), Women's College Hospital, Toronto, Ont.; Temerty Faculty of Medicine (Martin), University of Toronto, Toronto, Ont.; Departments of Family Medicine and Community Health Sciences (McBrien), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Family Practice (McCracken), University of British Columbia, Vancouver, BC; Department of Family Medicine (McCracken), Providence Health Care, Vancouver, BC; Primary Health Care Branch (Rahman), Ministry of Health, Toronto, Ont.; patient partner (Bird), Toronto, Ont.; Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.; College of Nurses of Ontario (Thakkar), Toronto, Ont.; Women's College Hospital Research Institute (Na), Women's College Hospital, Toronto, Ont
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Kern LM, Ringel JB, Rajan M, Casalino LP, Colantonio LD, Pinheiro LC, Colvin CL, Safford MM. Ambulatory Care Fragmentation, Emergency Department Visits, and Race: a Nationwide Cohort Study in the U.S. J Gen Intern Med 2023; 38:873-880. [PMID: 36417133 PMCID: PMC10039160 DOI: 10.1007/s11606-022-07888-5] [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: 03/03/2022] [Accepted: 10/26/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND It is unclear whether highly fragmented ambulatory care (i.e., care spread across multiple providers without a dominant provider) increases the risk of an emergency department (ED) visit. Whether any such association varies with race is unknown. OBJECTIVE We sought to determine whether highly fragmented ambulatory care increases the risk of an ED visit, overall and by race. DESIGN AND PARTICIPANTS We analyzed data for 14,361 participants ≥ 65 years old from the nationwide prospective REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study, linked to Medicare claims (2003-2016). MAIN MEASURES We defined high fragmentation as a reversed Bice-Boxerman Index ≥ 0.85 (≥ 75th percentile). We used Poisson models to determine the association between fragmentation (as a time-varying exposure) and ED visits, overall and stratified by race, adjusting for demographics, medical conditions, medications, health behaviors, psychosocial variables, and physiologic variables. KEY RESULTS The average participant was 70.5 years old; 53% were female, and 33% were Black individuals. Participants with high fragmentation had a median of 9 visits to 6 providers, with 29% of visits by the most frequently seen provider; participants with low fragmentation had a median of 7 visits to 3 providers, with 50% of visits by the most frequently seen provider. Overall, high fragmentation was associated with more ED visits than low fragmentation (adjusted risk ratio [aRR] 1.31, 95% confidence interval [CI] 1.29, 1.34). The magnitude of this association was larger among Black (aRR 1.48, 95% CI 1.44, 1.53) than White participants (aRR 1.23, 95% CI 1.20, 1.25). CONCLUSIONS Highly fragmented ambulatory care was an independent predictor of ED visits, especially among Black individuals.
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Affiliation(s)
- Lisa M Kern
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA.
| | - Joanna B Ringel
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA
| | - Mangala Rajan
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA
| | - Lawrence P Casalino
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA
| | | | - Laura C Pinheiro
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA
| | | | - Monika M Safford
- Weill Cornell Medicine, 420 East 70th Street, Box 331, New York, NY, 10021, USA
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14
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Kukafka R, Salahub C, Bird C, Bhatia RS, Desveaux L, Glazier RH, Hedden L, Ivers NM, Martin D, Na Y, Spithoff S, Tadrous M, Kiran T. Characteristics and Health Care Use of Patients Attending Virtual Walk-in Clinics in Ontario, Canada: Cross-sectional Analysis. J Med Internet Res 2023; 25:e40267. [PMID: 36633894 PMCID: PMC9880810 DOI: 10.2196/40267] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/31/2022] [Accepted: 12/01/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Funding changes in response to the COVID-19 pandemic supported the growth of direct-to-consumer virtual walk-in clinics in several countries. Little is known about patients who attend virtual walk-in clinics or how these clinics contribute to care continuity and subsequent health care use. OBJECTIVE The objective of the present study was to describe the characteristics and measure the health care use of patients who attended virtual walk-in clinics compared to the general population and a subset that received any virtual family physician visit. METHODS This was a retrospective, cross-sectional study in Ontario, Canada. Patients who had received a family physician visit at 1 of 13 selected virtual walk-in clinics from April 1 to December 31, 2020, were compared to Ontario residents who had any virtual family physician visit. The main outcome was postvisit health care use. RESULTS Virtual walk-in patients (n=132,168) had fewer comorbidities and lower previous health care use than Ontarians with any virtual family physician visit. Virtual walk-in patients were also less likely to have a subsequent in-person visit with the same physician (309/132,168, 0.2% vs 704,759/6,412,304, 11%; standardized mean difference [SMD] 0.48), more likely to have a subsequent virtual visit (40,030/132,168, 30.3% vs 1,403,778/6,412,304, 21.9%; SMD 0.19), and twice as likely to have an emergency department visit within 30 days (11,003/132,168, 8.3% vs 262,509/6,412,304, 4.1%; SMD 0.18), an effect that persisted after adjustment and across urban/rural resident groups. CONCLUSIONS Compared to Ontarians attending any family physician virtual visit, virtual walk-in patients were less likely to have a subsequent in-person physician visit and were more likely to visit the emergency department. These findings will inform policy makers aiming to ensure the integration of virtual visits with longitudinal primary care.
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Affiliation(s)
| | - Christine Salahub
- Support, Systems, and Outcomes Department, University Health Network, Toronto, ON, Canada
| | | | - R Sacha Bhatia
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
| | - Laura Desveaux
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Women's College Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,Institute for Better Health, Ontario Trillium Health Partners, Mississauga, ON, Canada
| | - Richard H Glazier
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,Department of Family and Community Medicine and MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Lindsay Hedden
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Noah M Ivers
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Women's College Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.,Department of Family Medicine, Women's College Hospital, Toronto, ON, Canada
| | - Danielle Martin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.,Department of Family Medicine, Women's College Hospital, Toronto, ON, Canada
| | | | - Sheryl Spithoff
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.,Department of Family Medicine, Women's College Hospital, Toronto, ON, Canada.,Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Mina Tadrous
- Women's College Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada.,Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Tara Kiran
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, ON, Canada.,Department of Family and Community Medicine and MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
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15
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Sinsky CA, Shanafelt TD, Ristow AM. Radical Reorientation of the US Health Care System Around Relationships: Rebalancing the Transactional Model. Mayo Clin Proc 2022; 97:2194-2205. [PMID: 36207152 DOI: 10.1016/j.mayocp.2022.08.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/20/2022] [Accepted: 08/10/2022] [Indexed: 11/30/2022]
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16
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Connelly L, Fiorentini G, Iommi M. Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2022; 23:1203-1220. [PMID: 35091855 DOI: 10.1007/s10198-021-01421-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 12/03/2021] [Indexed: 06/14/2023]
Abstract
We estimate the effects of a chronic disease management program (CDMP) which adapts various supply-side interventions to specific demand-side conditions (disease-staging) for patients with chronic kidney disease (CKD). Using a unique dataset on the entire population of the Emilia-Romagna region of Italy with hospital-diagnosed CKD, we estimate the causal effects of the CDMP on adherence indicators and health outcomes. As CKD is a progressive disease with clearly-defined disease stages and a treatment regimen that can be titrated by disease severity, we calculate dynamic, severity-specific, indicators of adherence as well as several long-term health outcomes. Our empirical work produces statistically significant and sizeable causal effects on many adherence and health outcome indicators across all CKD patients. More interestingly, we show that the CDMP produces larger effects on patients with early-stage CKD, which is at odds with some of the literature on CDMP that advocates intensifying interventions for high-cost (or late-stage) patients. Our results suggest that it may be more efficient to target early-stage patients to slow the deterioration of their health capital. The results contribute to a small, recent literature in health economics that focuses on the marginal effectiveness of CDMPs after controlling either for supply- or demand-side sources of heterogeneity.
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Affiliation(s)
- Luke Connelly
- Centre for the Business and Economics of Health, The University of Queensland, Brisbane, Australia.
- Dipartimento di Sociologia e Diritto dell'Economia, Università di Bologna, Bologna, Italy.
| | | | - Marica Iommi
- Scuola Superiore di Politiche per la Salute, Università di Bologna, Bologna, Italy
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17
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Pahlavanyali S, Hetlevik Ø, Blinkenberg J, Hunskaar S. Continuity of care for patients with chronic disease: a registry-based observational study from Norway. Fam Pract 2022; 39:570-578. [PMID: 34536072 PMCID: PMC9295609 DOI: 10.1093/fampra/cmab107] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Continuity of care (CoC) is accepted as a core value of primary care and is especially appreciated by patients with chronic conditions. Nevertheless, there are few studies investigating CoC for these patients across levels of healthcare. OBJECTIVE This study aims to investigate CoC for patients with somatic chronic diseases, both with regular general practitioners (RGPs) and across care levels. METHODS We conducted a registry-based observational study by using nationwide consultation data from Norwegian general practices, out-of-hours services, hospital outpatient care, and private specialists with public contracts. Patients with diabetes mellitus (type I or II), asthma, chronic obstructive pulmonary disease, or heart failure in 2012, who had ≥2 consultations with these diagnoses during 2014 were included. CoC was measured during 2014 by using the usual provider of care (UPC) index and Bice-Boxerman continuity of care score (COCI). Both indices have a value between 0 and 1. RESULTS Patients with diabetes mellitus comprised the largest study population (N = 79,165) and heart failure the smallest (N = 4,122). The highest mean UPC and COCI were measured for patients with heart failure, 0.75 and 0.77, respectively. UPC increased gradually with age for all diagnoses, while COCI showed this trend only for asthma. Both indices had higher values in urban areas. CONCLUSIONS Our findings suggest that CoC in Norwegian healthcare system is achieved for a majority of patients with chronic diseases. Patients with heart failure had the highest continuity with their RGP. Higher CoC was associated with older age and living in urban areas.
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Affiliation(s)
- Sahar Pahlavanyali
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Øystein Hetlevik
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jesper Blinkenberg
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway
| | - Steinar Hunskaar
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway
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18
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Sinsky CA, Shanafelt TD, Dyrbye LN, Sabety AH, Carlasare LE, West CP. Health Care Expenditures Attributable to Primary Care Physician Overall and Burnout-Related Turnover: A Cross-sectional Analysis. Mayo Clin Proc 2022; 97:693-702. [PMID: 35227508 DOI: 10.1016/j.mayocp.2021.09.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/04/2021] [Accepted: 09/09/2021] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To estimate the excess health care expenditures due to US primary care physician (PCP) turnover, both overall and specific to burnout. METHODS We estimated the excess health care expenditures attributable to PCP turnover using published data for Medicare patients, calculated estimates for non-Medicare patients, and the American Medical Association Masterfile. We used published data from a cross-sectional survey of US physicians conducted between October 12, 2017, and March 15, 2018, of burnout and intention to leave one's current practice within 2 years by primary care specialty to estimate excess expenditures attributable to PCP turnover due to burnout. A conservative estimate from the literature was used for actual turnover based on intention to leave. Additional publicly available data were used to estimate the average PCP panel size and the composition of Medicare and non-Medicare patients within a PCP's panel. RESULTS Turnover of PCPs results in approximately $979 million in excess health care expenditures for public and private payers annually, with $260 million attributable to PCP burnout-related turnover. CONCLUSION Turnover of PCPs, including that due to burnout, is costly to public and private payers. Efforts to reduce physician burnout may be considered as one approach to decrease US health care expenditures.
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19
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Groden P, Capellini A, Levine E, Wajnberg A, Duenas M, Sow S, Ortega B, Medder N, Kishore S. The success of behavioral economics in improving patient retention within an intensive primary care practice. BMC FAMILY PRACTICE 2021; 22:253. [PMID: 34937551 PMCID: PMC8694759 DOI: 10.1186/s12875-021-01593-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 11/23/2021] [Indexed: 11/10/2022]
Abstract
Background A minority of the U.S. population comprises a majority of health care expenses. Health system interventions for high-cost populations aim to improve patient outcomes while reducing costly over-utilization. Missed and inconsistent appointments are associated with poor patient outcomes and increased health care utilization. PEAK Health— Mount Sinai’s intensive primary care clinic for high-cost patients— employed a novel behavioral economics-based intervention to reduce the rate of missed appointments at the practice. Behavioral economics has accomplished numerous successes across the health care field; the effect of a clinic-based behavioral economics intervention on reducing missed appointments has yet to be assessed. Methods This was a single-arm, pre-post trial conducted over 1 year involving all active patients at PEAK Health. The intervention consisted of: a) clinic signage, and b) appointment reminder cards containing behavioral economics messaging designed to increase the likelihood patients would complete their subsequent visit; appointment cards (t1) were transitioned to an identical EMR template (t2) at 6 months to boost provider utilization. The primary objective, the success of scheduled appointments, was assessed with visit adherence: the proportion of successful over all scheduled appointments, excluding those cancelled or rescheduled. The secondary objective, the consistency of appointments, was assessed with a 2-month visit constancy rate: the percentage of patients with at least one successful visit every 2 months for 1 year. Both metrics were assessed via a χ2 analysis and together define patient retention. Results The visit adherence rate increased from 74.7% at baseline to 76.5% (p = .22) during t1 and 78.0% (p = .03) during t2. The 2-month visit constancy rate increased from 59.5% at baseline to 74.3% (p = .01) post-intervention. Conclusions A low-resource, clinic-based behavioral economics intervention was capable of improving patient retention within a traditionally high-cost population. A renewed focus on patient retention— employing the metrics described here— could bolster chronic care efforts and significantly improve the outcomes of high-cost programs by reducing the deleterious effects of missed and inconsistent appointments.
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Affiliation(s)
- Phillip Groden
- Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levey Place, Box 1199, New York, NY, 10029, USA.
| | - Alexandra Capellini
- Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levey Place, Box 1199, New York, NY, 10029, USA
| | - Erica Levine
- Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, 1216 5th Avenue, Box 1199, New York, NY, 10029, USA
| | - Ania Wajnberg
- Department of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1087, New York, NY, 10029, USA
| | - Maria Duenas
- Department of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1087, New York, NY, 10029, USA
| | - Sire Sow
- Department of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1087, New York, NY, 10029, USA
| | - Bernard Ortega
- Department of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1087, New York, NY, 10029, USA
| | - Nia Medder
- Department of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1087, New York, NY, 10029, USA
| | - Sandeep Kishore
- School of Medicine, University of California San Francisco, 533 Parnassus Ave, San Francisco, CA, 94143, USA
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20
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Mayer V, Mijanovich T, Egorova N, Flory J, Mushlin A, Calvo M, Deshpande R, Siscovick D. Impact of New York State's Health Home program on access to care among patients with diabetes. BMJ Open Diabetes Res Care 2021; 9:9/Suppl_1/e002204. [PMID: 34933873 PMCID: PMC8679110 DOI: 10.1136/bmjdrc-2021-002204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/04/2021] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION Access to care is essential for patients with diabetes to maintain health and prevent complications, and is important for health equity. New York State's Health Homes (HHs) provide care management services to Medicaid-insured patients with chronic conditions, including diabetes, and aim to improve quality of care and outcomes. There is inconsistent evidence on the impact of HHs, and care management programs more broadly, on access to care. RESEARCH DESIGN AND METHODS Using a cohort of patients with diabetes derived from electronic health records from the INSIGHT Clinical Research Network, we analyzed Medicaid data for HH enrollees and a matched comparison group of HH non-enrollees. We estimated HH impacts on several access measures using natural experiment methods. RESULTS We identified and matched 11 646 HH enrollees; patients were largely non-Hispanic Black (29.9%) and Hispanic (48.7%), and had high rates of dual eligibility (33.0%), Supplemental Security Income disability enrollment (49.1%), and multiple comorbidities. In the 12 months following HH enrollment, HH enrollees had one more month of Medicaid coverage (p<0.001) and 4.6 more outpatient visits than expected (p<0.001, evenly distributed between primary and specialty care). There were also positive impacts on the proportions of patients with follow-up visits within 7 days (4 percentage points (pp), p<0.001) and 30 days (6pp, p<0.001) after inpatient care, and on the proportion of patients with follow-up visits within 30 days after emergency department (ED) care (4pp, p<0.001). We did not find meaningful differences in continuity of care. We found small positive impacts on the proportion of patients with an inpatient visit and the proportion with an ED visit. CONCLUSIONS New York State's HH program improved access to care for Medicaid recipients with diabetes. These findings have implications for New York State Medicaid as well as other providers and care management programs.
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Affiliation(s)
- Victoria Mayer
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Tod Mijanovich
- Department of Applied Statistics, Social Sciences, and Humanities, Steinhardt School, New York University, New York City, New York, USA
| | - Natalia Egorova
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - James Flory
- Endocrinology Service, Department of Subspecialty Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Alvin Mushlin
- Departments of Population Health Sciences and Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Michele Calvo
- Research, Evaluation & Policy, New York Academy of Medicine, New York City, New York, USA
| | - Richa Deshpande
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - David Siscovick
- Research, Evaluation & Policy, New York Academy of Medicine, New York City, New York, USA
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21
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Ganguli I, McGlave C, Rosenthal MB. National Trends and Outcomes Associated With Presence and Type of Usual Clinician Among Older Adults With Multimorbidity. JAMA Netw Open 2021; 4:e2134798. [PMID: 34846529 PMCID: PMC8634053 DOI: 10.1001/jamanetworkopen.2021.34798] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
IMPORTANCE Declining primary care visit rates and increasing specialist visit rates among older adults with multimorbidity raise questions about the presence, specialty, and outcomes associated with usual clinicians of care for these adults. OBJECTIVE To examine trends in the presence and specialty of usual clinicians and the association with preventive care receipt and spending. DESIGN, SETTING, AND PARTICIPANTS This survey study used repeated cross-sectional analyses of Medicare Current Beneficiary Survey data from 2010, 2013, and 2016. Participants were community-dwelling Medicare Advantage and traditional Medicare members with at least 2 chronic conditions. Data were analyzed from March 1, 2020, to February 5, 2021. MAIN OUTCOMES AND MEASURES Trends and factors associated with self-reported usual clinician presence and specialty. Multivariable regression was used to examine associations between usual clinician presence and specialty with preventive care receipt and spending, controlling for respondent sociodemographic and clinical characteristics. RESULTS A total of 25 490 unweighted respondent-years were examined, representing 90 324 639 respondent-years across the United States. Overall, 58.4% of respondent-years belonged to women, and the mean (SD) age of respondents was 77.5 (7.5) years. From 2010 to 2016, those reporting usual clinicians dropped from 94.2% to 91.0% (P < .001). Across study years, respondents were more likely to report a usual clinician if they were women (adjusted marginal difference [AMD], 2.5 percentage points; 95% CI, 1.5-3.5 percentage points) or had higher income (≥$50 000 vs <$15 000: AMD, 2.2 percentage points; 95% CI, 1.1-3.4 percentage points) and less likely if they were Black beneficiaries (vs White: AMD, -2.8 percentage points; 95% CI, -4.3 to -1.3 percentage points) or had traditional Medicare (vs Medicare Advantage: AMD, -3.2 percentage points; 95% CI. -4.1 to -2.3 percentage points). Among 23 279 respondents with usual clinicians, those reporting specialists as their usual clinicians decreased from 5.3% to 4.1% (P < .001). Across the study period, respondents were more likely to report specialists as their usual clinicians if they had traditional Medicare (vs Medicare Advantage: AMD, 2.3 percentage points; 95% CI, 1.6 to 2.9 percentage points), were Black or non-White Hispanic (Black vs White: AMD, 1.5 percentage points; 95% CI, 0.2 to 2.8 percentage points; non-White Hispanic vs White: AMD, 3.8 percentage points; 95% CI, 1.9 to 5.7 percentage points), or lived in the Northeast (vs Midwest: AMD, 3.6 percentage points; 95% CI, 2.1 to 5.2 percentage points). Compared with those without usual clinicians, respondents with usual clinicians were more likely to receive all examined preventive services, such as cholesterol screening (AMD, 6.7 percentage points; 95% CI, 5.4 to 8.1 percentage points) and influenza vaccines (AMD, 11.6 percentage points; 95% CI, 9.2 to 14.0 percentage points). Among respondents with usual clinicians, those reporting specialist usual clinicians (vs primary care) were less likely to receive influenza vaccines (AMD, -5.6 percentage points; 95% CI, -9.2 to -2.1). CONCLUSIONS AND RELEVANCE In this study, older adults with multimorbidity were less likely to have a usual clinician over the study period, with potential implications for preventive care receipt. Our results suggest a key role for usual clinicians, especially primary care clinicians, in vaccination uptake for this population.
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Affiliation(s)
- Ishani Ganguli
- Harvard Medical School, Boston, Massachusetts
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Claire McGlave
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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22
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Nene RV, Brennan JJ, Castillo EM, Tran P, Hsia RY, Coyne CJ. Cancer-related Emergency Department Visits: Comparing Characteristics and Outcomes. West J Emerg Med 2021; 22:1117-1123. [PMID: 34546888 PMCID: PMC8463053 DOI: 10.5811/westjem.2021.5.51118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 05/16/2021] [Indexed: 11/27/2022] Open
Abstract
Introduction There is increasing appreciation of the challenges of providing safe and appropriate care to cancer patients in the emergency department (ED). Our goal here was to assess which patient characteristics are associated with more frequent ED revisits. Methods This was a retrospective cohort study of all ED visits in California during the 2016 calendar year using data from the California Office of Statewide Health Planning and Development. We defined revisits as a return visit to an ED within seven days of the index visit. For both index and return visits, we assessed various patient characteristics, including age, cancer type, medical comorbidities, and ED disposition. Results Among 12.9 million ED visits, we identified 73,465 adult cancer patients comprising 103,523 visits that met our inclusion criteria. Cancer patients had a 7-day revisit rate of 17.9% vs 13.2% for non-cancer patients. Cancer patients had a higher rate of admission upon 7-day revisit (36.7% vs 15.6%). Patients with cancers of the small intestine, stomach, and pancreas had the highest rate of 7-day revisits (22–24%). Cancer patients younger than 65 had a higher 7-day revisit rate than the elderly (20.0% vs 16.2%). Conclusion In a review of all cancer-related ED visits in the state of California, we found a variety of characteristics associated with a higher rate of 7-day ED revisits. Our goal in this study was to inform future research to identify interventions on the index visit that may improve patient outcomes.
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Affiliation(s)
- Rahul V Nene
- University of California, San Diego, Department of Emergency Medicine, San Diego, California
| | - Jesse J Brennan
- University of California, San Diego, Department of Emergency Medicine, San Diego, California
| | - Edward M Castillo
- University of California, San Diego, Department of Emergency Medicine, San Diego, California
| | - Peter Tran
- University of California, San Diego, Department of Emergency Medicine, San Diego, California
| | - Renee Y Hsia
- University of California, San Francisco, Department of Emergency Medicine, San Francisco, California.,University of California, San Francisco, Institute for Health Policy Studies, San Francisco, California
| | - Christopher J Coyne
- University of California, San Diego, Department of Emergency Medicine, San Diego, California
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23
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Ljungholm L, Klinga C, Edin-Liljegren A, Ekstedt M. What matters in care continuity on the chronic care trajectory for patients and family carers?-A conceptual model. J Clin Nurs 2021; 31:1327-1338. [PMID: 34351651 DOI: 10.1111/jocn.15989] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/12/2021] [Accepted: 07/15/2021] [Indexed: 01/19/2023]
Abstract
AIMS AND OBJECTIVES To describe essential aspects of care continuity from the perspectives of persons with complex care needs and their family carers. BACKGROUND Continuity of care is an important aspect of quality, safety and efficiency. For people with multiple chronic diseases and complex care needs, care must be experienced as connected and coherent, and consistent with medical and individual needs. The more complex the need for care, the greater the need for continuity across different competencies, services and roles. DESIGN A constructivist grounded theory approach was applied. METHODS Sixteen patients with one or more chronic diseases needing both health care and social care, living in their private homes, and twelve family carers, were recruited. Semi-structured interviews were conducted and analysed with constructivist grounded theory. The COREQ checklist was followed. RESULTS A conceptual model of care continuity was constructed, consisting of five categories that were interconnected through the core category: time and space. Patients' and family carers' experiences of care continuity were closely related to timely personalised care delivery, where access to tailored information, regardless of who was performing a care task, was essential for mutual understanding. This required clarity in responsibilities and roles, interprofessional collaboration and achieving a trusting relationship between each link in the chain of care, over time and space. To achieve care continuity, all the identified categories were important, as they worked in synergy, not in isolation. CONCLUSION Care continuity for people with complex care needs and family carers is experienced as multidimensional, with several essential aspects that work in synergy, but varies over time and depends on each person's own resources and situational and contextual circumstances. RELEVANCE TO CLINICAL PRACTICE The findings promote understanding of patients' and family carers' experiences of care continuity and may guide the delivery of care to people with complex care needs.
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Affiliation(s)
- Linda Ljungholm
- Department of Health and Caring Sciences, Linnaeus University Kalmar, Kalmar, Sweden
| | - Charlotte Klinga
- Department of Health and Caring Sciences, Linnaeus University Kalmar, Kalmar, Sweden.,Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Anette Edin-Liljegren
- Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden.,Department of Nursing, Umeå University, Umeå, Sweden
| | - Mirjam Ekstedt
- Department of Health and Caring Sciences, Linnaeus University Kalmar, Kalmar, Sweden.,Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
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24
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Kim ES, Kim CY. The association between continuity of care and surgery in lumbar disc herniation patients. Sci Rep 2021; 11:5550. [PMID: 33692399 PMCID: PMC7946938 DOI: 10.1038/s41598-021-85064-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 02/22/2021] [Indexed: 11/29/2022] Open
Abstract
Continuity of care is a core dimension of high-quality care in the management of disease. The purpose of this study was to investigate the association between continuity of care and lumbar surgery in patients with moderate disc herniation. The Korean National Sample Cohort was used. The target population consisted of patients who have had disc herniation more than 6 months and didn’t get surgery and red flag signs within 6 months from onset. The population was enrolled from 2004 to 2013. The Bice-Boxerman Continuity of Care was used in measuring continuity of care. The marginal structural model with time dependent survival analysis was used. In total, 29,061 patients were enrolled in the cohort. High level of continuity of care was associated with a lower risk of lumbar surgery (HR, 0.27; 95% CI, 0.20–0.27). When the index was calculated only with outpatient visits to primary care with related specialty, the HR was 0.49 (95% CI: 0.43–0.57). In exploratory analysis, patients with lumbar stenosis and spondylolisthesis had higher risk of having a low level of continuity of care. These results indicate that continuity of care is associated with lower rates of lumbar surgery in patients with moderate disc herniation.
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Affiliation(s)
- Eun-San Kim
- Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Chang-Yup Kim
- Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
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Aubin M, Vézina L, Verreault R, Simard S, Hudon É, Desbiens JF, Fillion L, Dumont S, Tourigny A, Daneault S. Continuity of Cancer Care and Collaboration Between Family Physicians and Oncologists: Results of a Randomized Clinical Trial. Ann Fam Med 2021; 19:117-125. [PMID: 33685873 PMCID: PMC7939706 DOI: 10.1370/afm.2643] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 06/23/2020] [Accepted: 06/29/2020] [Indexed: 01/26/2023] Open
Abstract
PURPOSE Collaboration between family physicians (FPs) and oncologists can be challenging. We present the results of a randomized clinical trial of an intervention designed to improve continuity of care and interprofessional collaboration, as perceived by patients with lung cancer and their FPs. METHODS The intervention included (1) supplying FPs with standardized summaries related to each patient, (2) recommending that patients see their FP after receiving the cancer diagnosis, (3) supplying the oncology team with patient information resulting from FP visits, and (4) providing patients with priority access to FPs as needed. A total of 206 patients with newly diagnosed lung cancer were randomly assigned to the intervention (n = 104) or control group (n = 102), and 86.4% of involved FPs participated. Perceptions of continuity of care and interprofessional collaboration were assessed every 3 months for patients and at baseline and at the end of the study for FPs. Patient distress and health service utilization were also assessed. RESULTS Patients and FPs in the intervention group perceived better interprofessional collaboration (patients: P <.0001; FPs: P = .0006) than those in the control group. Patients reported better informational continuity (P = .001) and management continuity (P = .05) compared to the control group, but no differences were found for FPs (information: P = .22; management: P = .13). No effect was found with regard to patient distress or health service utilization. CONCLUSIONS This intervention improved patient and FP perception of interprofessional collaboration, but its effectiveness on continuity of care was less clear for FPs than for patients. Additional strategies should be considered to sustainably improve continuity of care and interprofessional collaboration.
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Affiliation(s)
- Michèle Aubin
- CORRESPONDING AUTHOR Michèle Aubin Département de médecine familiale et médecine d’urgence Université Laval, Pavillon Ferdinand-Vandry 1050 Ave de la Médecine, Room 4617 Quebec, Canada, G1V 0A6
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Cook LL, Golonka RP, Cook CM, Walker RL, Faris P, Spenceley S, Lewanczuk R, Wedel R, Love R, Andres C, Byers SD, Collins T, Oddie S. Association between continuity and access in primary care: a retrospective cohort study. CMAJ Open 2020; 8:E722-E730. [PMID: 33199505 PMCID: PMC7676991 DOI: 10.9778/cmajo.20200014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Continuity of care is a tenet of primary care. Our objective was to explore the relation between a change in access to a primary care physician and continuity of care. METHODS We conducted a retrospective cohort study among physicians in a primary care network in southwest Alberta who measured access consistently between 2009 and 2016. We used time to the third next available appointment as a measure of access to physicians. We calculated the provider and clinic continuity, discontinuity and emergency department use based on the physicians' own panels. Physicians who improved, worsened or maintained their level of access within a given year were assessed in multilevel models to determine the association with continuity of care at the physician and clinic levels and the emergency department. RESULTS We analyzed data from 190 primary care physicians. Physicians with improved access increased provider continuity by 6.8% per year, reduced discontinuity by 2.1% per year, and decreased emergency department encounters by 78 visits per 1000 patients per year compared to physicians with stable access. Physicians with worsening access had a 6.2% decrease in provider continuity and an increased number of emergency department encounters (64 visits per 1000 panelled patients per year) compared to physicians with stable access. INTERPRETATION Changes in access to primary care can affect whether patients seek care from their own physician, from another clinic or at the emergency department. Improving access by reducing the delay in obtaining an appointment with one's primary care physician may be one mechanism to improve continuity of care.
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Affiliation(s)
- Lisa L Cook
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta.
| | - Richard P Golonka
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Charles M Cook
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Robin L Walker
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Peter Faris
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Shannon Spenceley
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Richard Lewanczuk
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Robert Wedel
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Rebecca Love
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Cheryl Andres
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Susan D Byers
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Tim Collins
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
| | - Scott Oddie
- Applied Research & Evaluation Services, Primary Health Care (L. Cook, C. Cook), Alberta Health Services; Faculty of Health Sciences (L. Cook, Spenceley), University of Lethbridge, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Golonka), Alberta Health Services, Edmonton, Alta.; Applied Research & Evaluation Services, Primary Health Care (Walker), Alberta Health Services; Cumming School of Medicine (Walker, Faris), University of Calgary; Health Services Statistical & Analytics Methods, Analytics, Data Integration, Measurement & Reporting (Faris), Alberta Health Services, Calgary, Alta.; Enhancing Care in the Community (Lewanczuk), Alberta Health Services; Department of Medicine (Lewanczuk), University of Alberta, Edmonton, Alta.; Chinook Primary Care Network (Wedel, Byers, Collins); Primary Health Care Integration Network (Love), Alberta Health Services; Public & Primary Health Care (Andres), Alberta Health Services, Lethbridge, Alta.; Applied Research & Evaluation Services, Primary Health Care (Oddie), Alberta Health Services, Red Deer, Alta.; Faculty of Social Sciences (Oddie), University of Calgary, Calgary, Alta
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Cohen-Mekelburg S, Waljee AK, Kenney BC, Tapper EB. Coordination of Care Is Associated With Survival and Health Care Utilization in a Population-Based Study of Patients With Cirrhosis. Clin Gastroenterol Hepatol 2020; 18:2340-2348.e3. [PMID: 31927111 PMCID: PMC7875119 DOI: 10.1016/j.cgh.2019.12.035] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/19/2019] [Accepted: 12/31/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Improving care coordination for patients with high-intensity specialty care needs, such as cirrhosis, can increase quality of healthcare and reduce utilization. We examined the relationship between care concentration and risk of hospitalization for patients with cirrhosis. METHODS We performed a retrospective cohort study of 26,006 Medicare enrollees with cirrhosis with more than 4 outpatient visits over 180 days. We collected data on 2 validated measures of care concentration: the usual provider of care (UPC) index, a measure of the proportion of a patient's total visits that is with their most regularly seen provider, and the continuity of care (COC) index, a measure of care density and dispersion. Both use a scale of 0 to 1. Time to death or liver transplantation was evaluated using a multivariable Cox proportional hazards model. Hospital days and 30-day readmissions per person-year were evaluated in negative binomial models. RESULTS The median COC score was 0.40 (interquartile range, 0.26-0.60) and the median UPC was 0.60 (interquartile range, 0.50-0.80). Increasing care concentration (based on COC and UPC index scores) were associated with increased mortality and hospitalization. The highest 25th percentile of COC and UPC scores were associated with adjusted hazard ratios for mortality of 1.20 (95% CI, 1.10-1.31) and 1.14 (95% CI, 1.06-1.24), adjusted incidence rate ratios for hospital days of 1.12 (95% CI, 1.02-1.23) and 1.10 (95% CI, 1.01-1.20), and adjusted incidence rate ratios for readmissions of 1.19 (95% CI, 1.06-1.34) and 1.12 (95% CI, 1.00-1.25), respectively. CONCLUSIONS Based on a study of Medicare enrollees, care concentration is low among patients with cirrhosis. However, increased concentration is associated with increased mortality and increased healthcare utilization. These data indicate that, to optimize outcomes for persons with cirrhosis, team-based care might be necessary.
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Affiliation(s)
- Shirley Cohen-Mekelburg
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan; Gastroenterology Section, VA Ann Arbor Healthcare System, Ann Arbor, Michigan; Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
| | - Akbar K. Waljee
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan;,Gastroenterology Section, VA Ann Arbor Healthcare System, Ann Arbor, Michigan;,Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan;,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan;,Michigan Integrated Center for Health Analytics and Medical Prediction, University of Michigan, Ann Arbor, Michigan
| | - Brooke C. Kenney
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
| | - Elliot B. Tapper
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan;,Gastroenterology Section, VA Ann Arbor Healthcare System, Ann Arbor, Michigan;,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
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Lei L, Intrator O, Conwell Y, Fortinsky RH, Cai S. Continuity of care and health care cost among community-dwelling older adult veterans living with dementia. Health Serv Res 2020; 56:378-388. [PMID: 32812658 DOI: 10.1111/1475-6773.13541] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES To estimate the causal impact of continuity of care (COC) on total, institutional, and noninstitutional cost among community-dwelling older veterans with dementia. DATA SOURCES Combined Veterans Health Administration (VHA) and Medicare data in Fiscal Years (FYs) 2014-2015. STUDY DESIGN FY 2014 COC was measured by the Bice-Boxerman Continuity of Care (BBC) index on a 0-1 scale. FY 2015 total combined VHA and Medicare cost, institutional cost of acute inpatient, emergency department [ED], long-/short-stay nursing home, and noninstitutional long-term care (LTC) cost for medical (like skilled-) and social (like unskilled-) services were assessed controlling for covariates. An instrumental variable for COC (change of residence by more than 10 miles) was used to account for unobserved health confounders. DATA COLLECTION Community-dwelling veterans with dementia aged 66 and older, enrolled in Traditional Medicare (N = 102 073). PRINCIPAL FINDINGS Mean BBC in FY 2014 was 0.32; mean total cost in FY 2015 was $35 425. A 0.1 higher BBC resulted in (a) $4045 lower total cost; (b) $1597 lower acute inpatient cost, $119 lower ED cost, $4368 lower long-stay nursing home cost; (c) $402 higher noninstitutional medical LTC and $764 higher noninstitutional social LTC cost. BBC had no impact on short-stay nursing home cost. CONCLUSIONS COC is an effective approach to reducing total health care cost by supporting noninstitutional care and reducing institutional care.
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Affiliation(s)
- Lianlian Lei
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.,Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York
| | - Orna Intrator
- Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Richard H Fortinsky
- Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut
| | - Shubing Cai
- Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, New York.,Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York
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Vander Weg MW, Sadler AG, Abrams TE, Richardson K, Torner JC, Syrop CH, Mengeling MA. Lifetime History of Sexual Assault and Emergency Department Service Use among Women Veterans. Womens Health Issues 2020; 30:374-383. [PMID: 32571623 DOI: 10.1016/j.whi.2020.05.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 05/19/2020] [Accepted: 05/27/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Although sexual assault survivors are at increased risk for adverse physical and mental health outcomes and tend to use more health care services, little is known about women veterans' lifetime history of experiencing sexual assault (lifetime sexual assault [LSA]) and emergency department (ED) use. We sought to examine associations between experiencing LSA, mental health diagnoses, and ED use among women veterans. METHODS Computer-assisted telephone interviews were conducted with 980 women veterans enrolled at two Veterans Affairs (VA) Medical Centers to assess history of experiencing LSA, health care use, sociodemographic characteristics, and military history. Administrative data provided VA use, mental health, and medical diagnoses. Logistic regression analyses examined associations between experiencing LSA and mental health diagnoses and past 5-year ED use. Classification tree analysis characterized ED use in participant subgroups. RESULTS Sixty-four percent of participants visited a VA or non-VA ED during the previous 5 years. Women veterans with histories of mental health diagnoses and who experienced sexual assault had an odds of ED use almost two times greater than those with no history of experiencing sexual assault and no mental health diagnoses. The odds were similar for experiencing attempted (adjusted odds ratio, 1.85) and completed (adjusted odds ratio, 1.95) sexual assault. Classification tree analysis identified reliance on VA care and the composite variable representing experiencing LSA and mental health diagnoses as factors that best discriminated ED users from nonusers. CONCLUSIONS Experiencing LSA is associated with greater ED use in women veterans enrolled in the VA. Whether finding this reflects greater emergent health care needs, suboptimal access and treatment for conditions that could be managed in other settings, lack of health care coordination, or some combination of these factors is unclear.
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Affiliation(s)
- Mark W Vander Weg
- Center for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa; Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa; Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa.
| | - Anne G Sadler
- Center for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa; Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Thad E Abrams
- Center for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa; Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa; Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Kelly Richardson
- Center for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa
| | - James C Torner
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa; Departments of Neurosurgery and Surgery, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Craig H Syrop
- Department of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Michelle A Mengeling
- Center for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa; Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa; VA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Iowa City, Iowa City VA Health Care System, Iowa City, Iowa
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Staykov E, Qureshi D, Scott M, Talarico R, Hsu AT, Howard M, Costa AP, Fung C, Ip M, Liddy C, Tanuseputro P. Do Patients Retain their Family Physicians after Long-Term Care Entry? A Retrospective Cohort Study. J Am Med Dir Assoc 2020; 21:1951-1957. [PMID: 32586719 DOI: 10.1016/j.jamda.2020.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 04/17/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Older adults value and benefit from the long-standing relationship they have with their family physicians. This dynamic has not been researched in a long-term care (LTC, ie, nursing home) setting. We sought to determine the proportion of LTC residents who retain their community family physician within the first 180 days of LTC, and the resident, physician, and LTC home factors that may influence retention. DESIGN Population-based retrospective cohort study. SETTING AND PARTICIPANTS Individuals from Ontario, Canada, aged 60 years or older who were newly admitted to a LTC home between April 1, 2014 and March 31, 2017. METHODS Residents were indexed upon LTC admission, and their data was linked across ICES databases. Residents were matched to their rostered family physician, and physician retention was defined as having at least 1 visit by their matched physician within 0 to 90 days and 90 to 180 days of LTC admission. RESULTS Out of 50,089 LTC residents, 12.1% retained their family physicians post-LTC admission. Resident factors associated with reduced odds of retention included physical impairment [odds ratio OR (95% confidence interval, CI) = 0.59 (0.42‒0.83)], cognitive impairment [0.39 (0.33‒0.47)], and a dementia diagnosis [0.80 (0.74‒0.86)]. Physician factors associated with lower retention included a greater distance from the LTC home to the family physician's clinic [30+ kilometers 0.41 (0.35‒0.48)], having a physician who is female [0.90 (0.83‒0.98)], an international medical graduate [0.89 (0.81‒0.97)] or someone who practices in a capitation-based Family Health Organization [0.86 (0.78‒0.95)]. Factors associated with greater odds of retention were residing in a rural LTC home [2.23 (1.78‒2.79)], having a rural family physician [1.70 (1.52‒1.90)], or a family physician who has billed LTC fee codes in the past year [2.64 (2.45‒2.85)]. CONCLUSIONS AND IMPLICATIONS Few LTC residents retained their family physician post-LTC admission, underscoring this healthcare transition as a breakdown point in relational continuity. Factors that influenced retention included resident health, LTC home geography, and family physician demographics and practice patterns.
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Affiliation(s)
- Emiliyan Staykov
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Danial Qureshi
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Mary Scott
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Robert Talarico
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; ICES uOttawa, Ottawa, Ontario, Canada
| | - Amy T Hsu
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Michelle Howard
- ICES McMaster, Hamilton, Ontario, Canada; Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Andrew P Costa
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Celeste Fung
- Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada; St. Patrick's Home of Ottawa, Ottawa, Ontario, Canada
| | - Michael Ip
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Clare Liddy
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Peter Tanuseputro
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
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Ukert B, David G, Smith-McLallen A, Chawla R. Do payor-based outreach programs reduce medical cost and utilization? HEALTH ECONOMICS 2020; 29:671-682. [PMID: 32048411 DOI: 10.1002/hec.4010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 12/17/2019] [Accepted: 01/29/2020] [Indexed: 06/10/2023]
Abstract
There is growing interest in using predictive analytics to drive interventions that reduce avoidable healthcare utilization. This study evaluates the impact of such an intervention utilizing claims from 2013 to 2017 for high-risk Medicare Advantage patients with congestive heart failure. A predictive algorithm using clinical and nonclinical information produced a risk score ranking for health plan members in 10 separate waves between July 2013 and May 2015. Each wave was followed by an outreach intervention. The varying capacity for outreach across waves created a set of arbitrary intervention treatment cutoff points, separating treated and untreated members with very similar predicted risk scores. We estimate a difference-in-differences model to identify the effects of the intervention program among patients with a high score on care utilization. We find that enrollment in the intervention decreased the probability and number of hospitalizations (by 43% and 50%, respectively) and emergency room visits (10% and 14%, respectively), reduced the time until a primary care visit (8.2 days), and reduced total medical cost by $716 per month in the first 6 months following outreach.
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Affiliation(s)
- Benjamin Ukert
- Department of Health Policy and Management, Texas A&M University College Station, Texas
| | - Guy David
- Department of Health Care Management, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Ravi Chawla
- Informatics, Independence Blue Cross, Philadelphia, Pennsylvania
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Affiliation(s)
| | - Marie T Brown
- American Medical Association, Chicago, Illinois (C.A.S., M.T.B.)
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Dufour I, Chiu Y, Courteau J, Chouinard MC, Dubuc N, Hudon C. Frequent emergency department use by older adults with ambulatory care sensitive conditions: A population-based cohort study. Geriatr Gerontol Int 2020; 20:317-323. [PMID: 32017348 PMCID: PMC7187263 DOI: 10.1111/ggi.13875] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 01/13/2020] [Indexed: 01/18/2023]
Abstract
Aim To identify factors associated with frequent emergency department (ED) use among older adults with ambulatory care sensitive conditions. Methods This was a retrospective cohort study using databases from the Régie de l'assurance maladie du Québec. We included community‐dwelling individuals aged ≥65 years in the Province of Quebec (Canada), who consulted in ED at least once between 2012 and 2013 (index period), and were diagnosed with at least one ambulatory care sensitive condition in the 2 years preceding and including the index date (n = 264 473). We used a multivariate logistic regression model to evaluate the association between independent variables and being a frequent geriatric ED user, defined as four or more visits during the year after the index date. Results Out of the total study population, 17 332 (6.6%) individuals were considered frequent ED users in the year after the index date, accounting for 38% of ED uses for this period. The main variables associated with frequent geriatric ED use were older age, presence of chronic obstructive pulmonary disorder or diabetes, higher comorbidity index, common mental health disorders, polypharmacy, higher number of past ED and specialist visits, rural residence, and higher material and social deprivation. Dementia was inversely associated with frequent ED use. Conclusions Frequent geriatric ED users constitute a complex population whose characteristics need to be managed thoroughly in order to enhance the quality and efficiency of their care. Further studies should address their description in administrative databases so as to combine self‐perceived and professionally evaluated variables. Geriatr Gerontol Int 2020; 20: 317–323.
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Affiliation(s)
- Isabelle Dufour
- School of Nursing, Department of Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Yohann Chiu
- Department of Family and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Josiane Courteau
- Department of Family and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | | | - Nicole Dubuc
- School of Nursing, Department of Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Catherine Hudon
- Department of Family and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada.,PRIMUS Research Group, Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS)
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Penzenstadler L, Gentil L, Huỳnh C, Grenier G, Fleury MJ. Variables associated with low, moderate and high emergency department use among patients with substance-related disorders. Drug Alcohol Depend 2020; 207:107817. [PMID: 31887605 DOI: 10.1016/j.drugalcdep.2019.107817] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/12/2019] [Accepted: 12/14/2019] [Indexed: 11/27/2022]
Abstract
AIMS This study identified factors associated with frequency of emergency department (ED) use for medical reasons among patients with substance-related disorders (SRD) in Quebec (Canada) for 2014-15. METHODS Participants (n = 4731) were categorized as: 1) low (1 visit/year), 2) moderate (2 visits/year), and 3) high (3+ visits/year) ED users. Independent variables included predisposing, enabling and needs factors based on the Andersen Behavioral Model. Multinomial logistic regression identified associated variables. RESULTS Factors positively associated with moderate and high ED use included adjustment disorders, suicidal behavior, alcohol-induced disorders, less urgent to non-urgent illness acuity, referral to local health community services centers (LHCSC) at discharge, and living in a materially deprived area. Factors positively associated with high ED use only included anxiety disorders, alcohol use disorders, drug use disorders, chronic physical illness, subacute problems, prior ED use for MD and/or SRD, prior LHCSC medical interventions, physician consultation within one month after discharge, living in very deprived or middle-class areas, and, negatively, being hospitalized for medical reasons in second ED visit. Moderate ED use only was negatively associated with alcohol intoxication and being referred to a GP at ED discharge. CONCLUSIONS Compared to low ED users, most high users with SRD were men presenting more complex and severe conditions. They visited ED mainly for subacute or non-urgent problems. Compared to low ED users, most moderate users had alcohol-induced disorders, less alcohol intoxication, and acute common MD. They visited ED mainly for non-urgent care. Diverse strategies should be implemented to reduce ED visits, targeting each group.
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Affiliation(s)
- Louise Penzenstadler
- Douglas Mental Health University Institute (Research Centre), McGill University, Department of Psychiatry, 6875 LaSalle Boulevard, Montréal, Québec H4H 1R3, Canada; Service d'addictologie, Département de psychiatrie, Hôpitaux Universitaires Genève, Rue du Grand-Pré 70c, 1202 Genève, Switzerland
| | - Lia Gentil
- Douglas Mental Health University Institute (Research Centre), McGill University, Department of Psychiatry, 6875 LaSalle Boulevard, Montréal, Québec H4H 1R3, Canada; Institut universitaire sur les dépendances, Centre intégré universitaire de santé et des services sociaux du Centre-Sud-de-l'Île-de-Montréal, 950 Louvain East, Montréal, Québec H2M 2E8, 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, 950 Louvain East, Montréal, Québec H2M 2E8, Canada
| | - Guy Grenier
- Douglas Mental Health University Institute (Research Centre), McGill University, Department of Psychiatry, 6875 LaSalle Boulevard, Montréal, Québec H4H 1R3, Canada
| | - Marie-Josée Fleury
- Douglas Mental Health University Institute (Research Centre), McGill University, Department of Psychiatry, 6875 LaSalle Boulevard, Montréal, Québec H4H 1R3, Canada.
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Hudson BF, Best S, Stone P, Noble T(B. Impact of informational and relational continuity for people with palliative care needs: a mixed methods rapid review. BMJ Open 2019; 9:e027323. [PMID: 31147362 PMCID: PMC6549611 DOI: 10.1136/bmjopen-2018-027323] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To identify and synthesise existing literature exploring the impact of relational and informational continuity of care on preferred place of death, hospital admissions and satisfaction for palliative care patients in qualitative, quantitative and mixed methods literature. DESIGN A mixed methods rapid review. METHODS PUBMED, PsychINFO, CINAHL were searched from June 2008 to June 2018 in order to identify original peer reviewed, primary qualitative, quantitative or mixed methods research exploring the impact of continuity of care for people receiving palliative care. Synthesis methods as outlined by the Cochrane Qualitative and Implementation Methods Group were applied to qualitative studies while meta-analyses for quantitative data were planned. OUTCOMES The impact of interventions designed to promote continuity of care for people receiving palliative care on the following outcomes was explored: achieving preferred place of death, satisfaction with care and avoidable hospital admissions. RESULTS 18 eligible papers were identified (11 qualitative, 6 quantitative and 1 mixed methods papers). In all, 1951 patients and 190 family caregivers were recruited across included studies. Meta-analyses were not possible due to heterogeneity in outcome measures and tools used. Two studies described positive impact on facilitating preferred place of death. Four described a reduction in avoidable hospital admissions. No negative impacts of interventions designed to promote continuity were reported. Patient satisfaction was not assessed in quantitative studies. Participants described a significant impact on their experiences as a result of the lack of informational and relational continuity. CONCLUSIONS This rapid review highlights the impact that continuity of care can have on the experiences of patients receiving palliative care. The evidence for the impact of continuity on place of death and hospital admissions is limited. Methods for enhancing, and recording continuity should be considered in the design and development of future healthcare interventions to support people receiving palliative care.
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Affiliation(s)
- Briony F Hudson
- Marie Curie, London, UK
- Marie Curie Palliative Care Research Department, Division of Psychiatry, University College London, London, UK
| | | | - Patrick Stone
- Marie Curie Palliative Care Research Department, Division of Psychiatry, University College London, London, UK
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David G, Smith-McLallen A, Ukert B. The effect of predictive analytics-driven interventions on healthcare utilization. JOURNAL OF HEALTH ECONOMICS 2019; 64:68-79. [PMID: 30818095 DOI: 10.1016/j.jhealeco.2019.02.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 02/05/2019] [Accepted: 02/05/2019] [Indexed: 06/09/2023]
Abstract
This paper studies a commercial insurer-driven intervention to improve resource allocation. The insurer developed a claims-based algorithm to derive a member-level healthcare utilization risk score. Members with the highest scores were contacted by a care management team tasked with closing gaps in care. The number of members outreached was dictated by resource availability and not by severity, creating a set of arbitrary cutoff points, separating treated and untreated members with very similar predicted risk scores. Using a regression discontinuity approach, we find evidence that predictive analytics-driven interventions directed at high-risk individuals reduced emergency room and specialist visits, yet not hospitalizations.
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Affiliation(s)
- Guy David
- University of Pennsylvania, United States.
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Disparities in Emergency Department Visits Among Collocated Racial/Ethnic Medicare Enrollees. Ann Emerg Med 2019; 73:225-235. [PMID: 30798793 DOI: 10.1016/j.annemergmed.2018.09.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 08/28/2018] [Accepted: 09/05/2018] [Indexed: 11/21/2022]
Abstract
STUDY OBJECTIVE We estimate emergency department (ED) use differences across Medicare enrollees of different race/ethnicity who are residing in the same zip codes. METHODS In this retrospective cohort study, we stratified all Medicare fee-for-service beneficiaries aged 66 years and older (2006 to 2012) by residence zip code and identified zip codes with racial/ethnic diversity, defined as containing at least 1 enrollee from each of 3 racial/ethnic groups: Hispanics, (non-Hispanic) blacks, and (non-Hispanic) whites. Our primary study population consisted of a stratified random sample of approximately equal number of each racial/ethnic group from each zip code with racial/ethnic diversity (N=1,563,631). We identified ED visits, comorbidities, primary-care-treatable status, and patient disposition. We characterized socioeconomic status by zip code poverty rate. The main outcome measure was the ratio of ED visit rate (number of visits/100 person-years) between each minority group and whites. RESULTS Of 38,423 zip codes nationally, 41% met the racial/ethnic diversity criterion; these zip codes contained 85% of the Medicare fee-for-service beneficiaries. Among enrollees from zip codes with racial/ethnic diversity, the ED visit rate among whites was 45.4 (95% confidence interval 45.1 to 45.6), and the ED visit rate ratio was 1.34 (95% confidence interval 1.33 to 1.36) among blacks and 1.23 (95% confidence interval 1.22 to 1.24) among Hispanics. ED visit rate ratios for both minority groups were greater than 1.00 among all subgroups by age, comorbidity, zip code poverty rate, urban/rural area, and primary-care-treatable and disposition status. CONCLUSION Among Medicare enrollees, blacks and Hispanics had higher ED use rates than whites overall and among subgroups by demographics and socioeconomic status.
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Abstract
BACKGROUND Claims-based algorithms based on administrative claims data are frequently used to identify an individual's primary care physician (PCP). The validity of these algorithms in the US Medicare population has not been assessed. OBJECTIVE To determine the agreement of the PCP identified by claims algorithms with the PCP of record in electronic health record data. DATA Electronic health record and Medicare claims data from older adults with diabetes. SUBJECTS Medicare fee-for-service beneficiaries with diabetes (N=3658) ages 65 years and older as of January 1, 2008, and medically housed at a large academic health system. MEASURES Assignment algorithms based on the plurality and majority of visits and tie breakers determined by either last visit, cost, or time from first to last visit. RESULTS The study sample included 15,624 patient-years from 3658 older adults with diabetes. Agreement was higher for algorithms based on primary care visits (range, 78.0% for majority match without a tie breaker to 85.9% for majority match with the longest time from first to last visit) than for claims to all visits (range, 25.4% for majority match without a tie breaker to 63.3% for majority match with the amount billed tie breaker). Percent agreement was lower for nonwhite individuals, those enrolled in Medicaid, individuals experiencing a PCP change, and those with >10 physician visits. CONCLUSIONS Researchers may be more likely to identify a patient's PCP when focusing on primary care visits only; however, these algorithms perform less well among vulnerable populations and those experiencing fragmented care.
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Adepoju O, Lin SH, Mileski M, Kruse CS, Mask A. Mental health status and healthcare utilization among community dwelling older adults. J Ment Health 2018; 27:511-519. [PMID: 29701495 DOI: 10.1080/09638237.2018.1466030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
BACKGROUND Shifts in mental health utilization patterns are necessary to allow for meaningful access to care for vulnerable populations. There have been long standing issues in how mental health is provided, which has caused problems in that care being efficacious for those seeking it. AIMS To assess the relationship between mental health status and healthcare utilization among adults ≥65 years. METHODS A negative binomial regression model was used to assess the relationship between mental health status and healthcare utilization related to office-based physician visits, while a two-part model, consisting of logistic regression and negative binomial regression, was used to separately model emergency visits and inpatient services. RESULTS The receipt of care in office-based settings were marginally higher for subjects with mental health difficulties. Both probabilities and counts of inpatient hospitalizations were similar across mental health categories. The count of ER visits was similar across mental health categories; however, the probability of having an emergency department visit was marginally higher for older adults who reported mental health difficulties in 2012. CONCLUSION These findings are encouraging and lend promise to the recent initiatives on addressing gaps in mental healthcare services.
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Affiliation(s)
- Omolola Adepoju
- a School of Health Administration , Texas State University , San Marcos , TX , USA and
| | - Szu-Hsuan Lin
- b School of Public Health , Texas A&M University , College Station , TX , USA
| | - Michael Mileski
- a School of Health Administration , Texas State University , San Marcos , TX , USA and
| | - Clemens Scott Kruse
- a School of Health Administration , Texas State University , San Marcos , TX , USA and
| | - Andrew Mask
- a School of Health Administration , Texas State University , San Marcos , TX , USA and
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Linzer M, Sinsky CA, Poplau S, Brown R, Williams E. Joy In Medical Practice: Clinician Satisfaction In The Healthy Work Place Trial. Health Aff (Millwood) 2017; 36:1808-1814. [DOI: 10.1377/hlthaff.2017.0790] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Mark Linzer
- Mark Linzer is director of the Division of General Internal Medicine, Hennepin County Medical Center, in Minneapolis, Minnesota
| | - Christine A. Sinsky
- Christine A. Sinsky is a physician in general internal medicine at Medical Associates Clinic and Health Plans, in Dubuque, Iowa, and a vice president at the American Medical Association
| | - Sara Poplau
- Sara Poplau is assistant director of the Office of Professional Worklife, Minneapolis Medical Research Foundation, in Minneapolis
| | - Roger Brown
- Roger Brown is a professor of research methodology and medical statistics in the School of Nursing at the University of Wisconsin–Madison
| | - Eric Williams
- Eric Williams is director of the Assurance of Learning Program and a professor in the Culverhouse College of Commerce, University of Alabama, in Tuscaloosa
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Carnahan JL, Slaven JE, Callahan CM, Tu W, Torke AM. Transitions From Skilled Nursing Facility to Home: The Relationship of Early Outpatient Care to Hospital Readmission. J Am Med Dir Assoc 2017. [PMID: 28647577 DOI: 10.1016/j.jamda.2017.05.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Many adults are discharged to skilled nursing facilities (SNFs) prior to returning home from the hospital. Patient characteristics and factors that can help to prevent postdischarge adverse outcomes are poorly understood. OBJECTIVE To identify whether early post-SNF discharge care reduces likelihood of 30-day hospital readmissions. DESIGN Secondary data analysis using the Electronic Medical Record, Medicare, Medicaid and the Minimum Data Set. PARTICIPANTS/SETTING Older (age > 65 years), community-dwelling adults admitted to a safety net hospital in the Midwest for 3 or more nights and discharged home after an SNF stay (n = 1543). MEASUREMENTS The primary outcome was hospital readmission within 30 days of SNF discharge. The primary independent variables were either a home health visit or an outpatient provider visit within a week of SNF discharge. RESULTS Out of 8754 community-dwelling, hospitalized older adults, 3025 (34.6%) were discharged to an SNF, of whom 1543 (51.0%) returned home. Among the SNF to home group, a home health visit within a week of SNF discharge was associated with reduced hazard of 30-day hospital readmission [adjusted hazard ratio (aHR) 0.61, P < .001] but outpatient provider visits were not associated with reduced risk of hospital readmission (aHR = 0.67, P = .821). CONCLUSION For patients discharged from an SNF to home, the finding that a home health visit within a week of discharge is associated with reduced hazard of 30-day hospital readmissions suggests a potential avenue for intervention.
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Affiliation(s)
- Jennifer L Carnahan
- Indiana University Center for Aging Research, Regenstrief Institute, Inc, Indianapolis, IN; Indiana University (IU) School of Medicine, Department of Medicine, Division of General Internal Medicine and Geriatrics, Indianapolis, IN; Regenstrief Institute, Inc, Indianapolis, IN.
| | - James E Slaven
- Indiana University School of Medicine, Department of Biostatistics, Indianapolis, IN
| | - Christopher M Callahan
- Indiana University Center for Aging Research, Regenstrief Institute, Inc, Indianapolis, IN; Indiana University (IU) School of Medicine, Department of Medicine, Division of General Internal Medicine and Geriatrics, Indianapolis, IN; Regenstrief Institute, Inc, Indianapolis, IN
| | - Wanzhu Tu
- Indiana University School of Medicine, Department of Biostatistics, Indianapolis, IN
| | - Alexia M Torke
- Indiana University Center for Aging Research, Regenstrief Institute, Inc, Indianapolis, IN; Indiana University (IU) School of Medicine, Department of Medicine, Division of General Internal Medicine and Geriatrics, Indianapolis, IN; Regenstrief Institute, Inc, Indianapolis, IN; Indiana University Purdue University Indianapolis Research in Palliative and End of Life Communication and Training (RESPECT) Center, Indianapolis, IN; Daniel F. Evans Center for Spiritual and Religious Values in Health Care, IU Health, Indianapolis, IN; Fairbanks Center for Medical Ethics, IU Health, Indianapolis, IN
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