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Messinger MC, Ashburn NP, Chait JS, Snavely AC, Hapig-Ward S, Stopyra JP, Mahler SA. Risk of Delayed Percutaneous Coronary Intervention for STEMI in the Southeast United States. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.11.24310307. [PMID: 39040192 PMCID: PMC11261919 DOI: 10.1101/2024.07.11.24310307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Background Emergent reperfusion by percutaneous coronary intervention (PCI) within 90 minutes of first medical contact (FMC) is indicated in patients with ST-segment elevation myocardial infarction (STEMI). However, long transport times in rural areas in the Southeast US make meeting this goal difficult. The objective of this study was to determine the number of Southeast US residents with prolonged transport times to the nearest 24/7 primary PCI (PPCI) center. Methods A cross-sectional study of residents in the Southeastern US was conducted based on geographical and 2022 5-Year American Community Survey data. The geographic information system (GIS) ArcGIS Pro was used to estimate Emergency Medical Services (EMS) transport times for Southeast US residents to the nearest PPCI center. All 24/7 PPCI centers in North Carolina, South Carolina, Georgia, Florida, Mississippi, Alabama, and Tennessee were included in the analysis, as well as nearby PPCI centers in surrounding states. To identify those at risk of delayed FMC-to-device time, the primary outcome was defined as a >30-minute transport time, beyond which most patients would not have PCI within 90 minutes. A secondary outcome was defined as transport >60 minutes, the point at which FMC-to-device time would be >120 minutes most of the time. These cutoffs are based on national median EMS scene times and door-to-device times. Results Within the Southeast US, we identified 62,880,528 residents and 350 PPCI centers. Nearly 11 million people living in the Southeast US reside greater than 30 minutes from a PPCI center (17.3%, 10,866,710, +/- 58,143), with 2% (1,271,522 +/- 51,858) living greater than 60 minutes from a PPCI hospital. However, most patients reside in short transport zones; 82.7% (52,013,818 +/- 98,741). Within the Southeast region, 8.4% (52/616) of counties have more than 50% of their population in a long transport zone and 42.3% (22/52) of those have more than 90% of their population in long transport areas. Conclusions Nearly 11 million people in the Southeast US do not have access to timely PCI for STEMI care. This disparity may contribute to increased morbidity and mortality.
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Affiliation(s)
- Maxwell C. Messinger
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Family Medicine and Community Health, UMass Chan School of Medicine, Worcester, MA, USA
| | - Nicklaus P. Ashburn
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Joshua S. Chait
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Surgery, Atrium Health Carolinas Medical Center, Charlotte, NC, USA
| | - Anna C. Snavely
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Siena Hapig-Ward
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Emergency Medicine, University of California San Francisco Fresno School of Medicine, Fresno, CA, USA
| | - Jason P. Stopyra
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Simon A. Mahler
- Department of Emergency Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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Stopyra JP, Snavely AC, Ashburn NP, Supples MW, Brown WM, Miller CD, Mahler SA. Rural EMS STEMI Patients - Why the Delay to PCI? PREHOSP EMERG CARE 2024; 28:947-954. [PMID: 38235978 PMCID: PMC11255126 DOI: 10.1080/10903127.2024.2305967] [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] [Received: 10/25/2023] [Accepted: 12/13/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND The objective of this study is to identify patient and EMS agency factors associated with timely reperfusion of patients with ST-elevation myocardial infarction (STEMI). METHODS We conducted a cohort study of adult patients (≥18 years old) with STEMI activations from 2016 to 2020. Data was obtained from a regional STEMI registry, which included eight rural county EMS agencies and three North Carolina percutaneous coronary intervention (PCI) centers. On each patient, prehospital and in-hospital time intervals were abstracted. The primary outcome was the ability to achieve the 90-minute EMS FMC to PCI time goal (yes vs. no). We used generalized estimating equations accounting for within-agency clustering to evaluate the association between patient and agency factors and meeting first medical contact (FMC) to PCI time goal while accounting for clustering within the agency. RESULTS Among 365 rural STEMI patients 30.1% were female (110/365) with a mean age of 62.5 ± 12.7 years. PCI was performed within the time goal in 60.5% (221/365) of encounters. The FMC to PCI time goal was met in 45.5% (50/110) of women vs 69.8% (178/255) of men (p < 0.001). The median PCI center activation time was 12 min (IQR 7-19) in the group that received PCI within the time goal compared to 21 min (IQR 10-37) in the cohort that did not. After adjusting for loaded mileage and other clinical variables (e.g., pulse rate, hypertension etc.), the male sex was associated with an improved chance of meeting the goal of FMC to PCI (aOR: 2.94; 95% CI 2.11-4.10) compared to the female sex. CONCLUSION Nearly 40% of rural STEMI patients transported by EMS failed to receive FMC to PCI within 90 min. Women were less likely than men to receive reperfusion within the time goal, which represents an important health care disparity.
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Affiliation(s)
- Jason P. Stopyra
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Anna C. Snavely
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nicklaus P. Ashburn
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Michael W. Supples
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - W. Mark Brown
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chadwick D. Miller
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Simon A. Mahler
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC
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Stopyra JP, Snavely AC, Ashburn NP, Supples MW, Miller CD, Mahler SA. Delayed first medical contact to reperfusion time increases mortality in rural emergency medical services patients with ST-elevation myocardial infarction. Acad Emerg Med 2023; 30:1101-1109. [PMID: 37567785 PMCID: PMC10830062 DOI: 10.1111/acem.14787] [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: 06/01/2023] [Revised: 07/24/2023] [Accepted: 08/03/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND ST-elevation myocardial infarction (STEMI) guidelines recommend an emergency medical services (EMS) first medical contact (FMC) to percutaneous coronary intervention (PCI) time of ≤90 min. The primary objective of this study was to evaluate the association between FMC to PCI time and mortality in rural STEMI patients. METHODS We conducted a cohort study of patients ≥18 years old with STEMI activations from January 2016 to March 2020. Data were obtained from a rural North Carolina Regional STEMI Data Registry, which included eight rural EMS agencies and three PCI centers, the National Cardiovascular Data Registry, and the EMS electronic health record. Prehospital and in-hospital time intervals were digitally abstracted. The outcome of index hospitalization mortality was compared between patients who did and did not meet FMC to PCI time goal using Fisher's exact tests. Negative predictive value (NPV) for index hospitalization death was calculated with 95% confidence intervals (CIs). A receiver operating characteristic curve was constructed and an optimal FMC to PCI time goal was identified by maximizing NPV to prevent index hospitalization death. RESULTS Among 365 rural EMS STEMI patients, 30.1% (110/365) were female with a mean ± SD age of 62.5 ± 12.7 years. PCI was performed within the 90-min time goal in 60.5% (221/365) of patients. Among these patients, 3% (11/365) died during initial STEMI hospitalization, with 1.4% (3/221) mortality in the group that met the 90-minute time goal compared to 5.6% (8/144) in patients exceeding the time goal (p = 0.03). Meeting the 90-min time goal yielded a 98.6% (95% CI 96.1%-99.7%) NPV for index death. A 78-min FMC to PCI time was the optimal cut point, yielding a NPV for index mortality of 99.3% (95% CI 96.1%-100%). CONCLUSIONS Death among rural patients with STEMI was four times more likely when they did not receive PCI within 90 min.
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Affiliation(s)
- Jason P. Stopyra
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Anna C. Snavely
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicklaus P. Ashburn
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael W. Supples
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Chadwick D. Miller
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Simon A. Mahler
- Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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Chang J, Deng Q, Hu P, Yang Z, Guo M, Lu F, Su Y, Sun J, Qi Y, Long Y, Liu J. Driving Time to the Nearest Percutaneous Coronary Intervention-Capable Hospital and the Risk of Case Fatality in Patients with Acute Myocardial Infarction in Beijing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3166. [PMID: 36833858 PMCID: PMC9961430 DOI: 10.3390/ijerph20043166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/24/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Timely arrival at a hospital capable of percutaneous coronary intervention (PCI) is critical in treating acute myocardial infarction (AMI). We examined the association between driving time to the nearest PCI-capable hospital and case fatality among AMI patients. A total of 142,474 AMI events during 2013-2019 from the Beijing Cardiovascular Disease Surveillance System were included in this cross-sectional study. The driving time from the residential address to the nearest PCI-capable hospital was calculated. Logistic regression was used to estimate the risk of AMI death associated with driving time. In 2019, 54.5% of patients lived within a 15-min drive to a PCI-capable hospital, with a higher proportion in urban than peri-urban areas (71.2% vs. 31.8%, p < 0.001). Compared with patients who had driving times ≤15 min, the adjusted odds ratios (95% CI, p value) for AMI fatality risk associated with driving times 16-30, 31-45, and >45 min were 1.068 (95% CI 1.033-1.104, p < 0.001), 1.189 (95% CI 1.127-1.255, p < 0.001), and 1.436 (95% CI 1.334-1.544, p < 0.001), respectively. Despite the high accessibility to PCI-capable hospitals for AMI patients in Beijing, inequality between urban and peri-urban areas exists. A longer driving time is associated with an elevated AMI fatality risk. These findings may help guide the allocation of health resources.
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Affiliation(s)
- Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Zhao Yang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Moning Guo
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing 100034, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing 100034, China
| | - Yuwei Su
- School of Urban Design, Wuhan University, Wuhan 430072, China
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Jiayi Sun
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yue Qi
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
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Abstract
ABSTRACT A total of 169 ACPA approved teams treat cleft deformities in the United States. These centers are unevenly distributed, and families may disproportionally pay extra travel costs to consult a multidisciplinary cleft team. Families experiencing hardships are able to create campaigns on GoFundMe to advertise their fundraiser publicly. The authors sought to establish whether a correlation exists between patients asking for support for cleft treatment and their geographic location in the US.A total of 635 crowdfunding campaigns for cleft lip and/or palate were reviewed from GoFundMe. Google searches for cleft lip and palate were evaluated utilizing Google Trends, with values reported as Relative Search Volumes (RSV). Driving distances and travel time to the nearest approved ACPA center were calculated using Google Maps data.There was a statistically significant difference in average driving distance and travel duration between the different subregions of the US (P = 0.0059 and 0.026, respectively). The South subregion had the highest proportion of campaigns (n = 259, 40.9%), mean driving distance (105.75 km) and mean driving duration (1 hour 8 minutes). The number of approved teams per state was negatively correlated to both RSV scores (r = -0.38, P = 0.048) and the number of campaigns (r = -0.34, P = 0.014).There is an uneven distribution of ACPA centers among the US subregions. The South seems to have the highest need for care, as identified by proportionate number of campaigns, adjusted driving distances and travel time. This data suggests that underserved areas for cleft care are correlated with greater numbers of hardship campaigns and more internet searches regarding cleft lip and palate.
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Temporal trends and predictors of time to coronary angiography following non-ST-elevation acute coronary syndrome in the USA. Coron Artery Dis 2020; 30:159-170. [PMID: 30676387 DOI: 10.1097/mca.0000000000000693] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE This study aims to investigate the temporal trends in utilization of invasive coronary angiography (CA) at different time points and changing profiles of patients undergoing CA following non-ST-elevation acute coronary syndrome (NSTEACS). We also describe the association between time to CA and in-hospital clinical outcomes. PATIENTS AND METHODS We queried the National Inpatient Sample to identify all admissions with a primary diagnosis of NSTEACS from 2004 to 2014. Patients were stratified into early (day 0, 1), intermediate (day 2) and late strategy (day≥3) according to time to CA. Multivariable logistic regression was used to investigate the association between time to CA and in-hospital mortality, major bleeding, stroke and Major Adverse Cardiac and Cerebrovascular Events. RESULTS A total of 4 380 827 records were identified with a diagnosis of NSTEACS, out of which 57.5% received CA. The proportion of patients undergoing early CA increased from 65.6 to 72.6%, whereas late CA commensurately declined from 19.6 to 13.5%. Patients receiving early CA were younger (age: 64 vs. 70 years), more likely to be male (63.7 vs. 55.3%) and of Caucasian ethnic background (68.7 vs. 64.7%) compared with late CA group. Similarly, Women, weekend admissions and African Americans remain less likely to receive early CA. In-hospital mortality was lowest in the intermediate group (odds ratio=0.30, 95% confidence interval: 0.28-0.33). CONCLUSION Use of early CA has increased in the management of NSTEACS; however, there remain significant disparities in utilization of an early invasive approach in women, African Americans, admission day and older patients in the USA.
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Donio PJ, Freitas C, Austin PC, Ross HJ, Abdel-Qadir HM, Wijeysundera HC, Tu K, Cram P, Liu P, Abrams H, Udell JA, Mak S, Farkouh ME, Tu JV, Wang X, Tobe SW, Lee DS. Comparison of Readmission and Death Among Patients With Cardiac Disease in Northern vs Southern Ontario. Can J Cardiol 2019; 35:341-351. [PMID: 30825954 DOI: 10.1016/j.cjca.2019.01.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 12/25/2018] [Accepted: 01/11/2019] [Indexed: 10/27/2022] Open
Abstract
BACKGROUND Geographic factors may influence cardiovascular disease outcomes in Canada. Circulatory diseases are a major reason for higher population mortality rates in Northern Ontario, but it is unknown if hospitalized patients with cardiovascular disease experience differential outcomes compared with those in the South. METHODS We examined 30-day and 1-year mortality and readmissions for patients hospitalized with acute myocardial infarction (AMI), heart failure (HF), atrial fibrillation (AF), or stroke in Northern compared with Southern Ontario, using the Canadian Institute for Health Information Discharge Abstract Database (2005-2016). Northern patients were defined as those residing and hospitalized in the Northwest or Northeast Local Health Integration Network regions. We used multiple Cox proportional hazards regression analysis for time-to-first event and Prentice-Williams-Peterson method to evaluate repeat and multiply admitted patients. RESULTS A total of 47,745 Northern and 465,353 Southern patients hospitalized with AMI (n = 182,158), HF (n = 130,770), AF (n = 72,326), or stroke (n = 127,844) were studied. Rates of first readmission were higher among Northern patients for AMI (adjusted hazard ratio [HR], 1.32), HF (HR, 1.16), AF (HR, 1.21), and stroke (HR, 1.27) compared with Southern patients (all P < 0.001). Repeat readmission rates among Northern patients for AMI (HR, 1.23), HF (HR, 1.13), AF (HR, 1.18), and stroke (HR, 1.22) were also increased (all P < 0.001 vs Southern). Thirty-day mortality did not differ significantly between Northern and Southern patients. CONCLUSIONS Readmissions were increased in those residing and hospitalized in the North. To reduce readmissions in the North, the quality of postacute transitional care should be examined further.
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Affiliation(s)
- Patrick J Donio
- Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada
| | - Cassandra Freitas
- Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; University Health Network, Toronto, Ontario, Canada
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Heather J Ross
- Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; University Health Network, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Husam M Abdel-Qadir
- University Health Network, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; Women's College Hospital, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Harindra C Wijeysundera
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Karen Tu
- University Health Network, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Peter Cram
- University Health Network, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Peter Liu
- University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Howard Abrams
- University Health Network, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Jacob A Udell
- University Health Network, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; Women's College Hospital, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Susanna Mak
- Mount Sinai Hospital, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Michael E Farkouh
- University Health Network, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Jack V Tu
- ICES, Toronto, Ontario, Canada; Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | | | - Sheldon W Tobe
- Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada; Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada
| | - Douglas S Lee
- Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; University Health Network, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada.
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A Novel Approach to Increasing Access to Developmental-Behavioral Pediatrics Subspecialty Care. J Dev Behav Pediatr 2019; 38:429-430. [PMID: 28661953 DOI: 10.1097/dbp.0000000000000473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Repo T, Tykkyläinen M, Mustonen J, Rissanen TT, Ketonen M, Toivakka M, Laatikainen T. Outcomes of Secondary Prevention among Coronary Heart Disease Patients in a High-Risk Region in Finland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15040724. [PMID: 29641497 PMCID: PMC5923766 DOI: 10.3390/ijerph15040724] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 04/05/2018] [Accepted: 04/09/2018] [Indexed: 12/14/2022]
Abstract
Despite comprehensive national treatment guidelines, goals for secondary prevention of coronary heart disease (CHD) have not been sufficiently met everywhere in Finland. We investigated the recorded risk factor rates of CHD and their spatial differences in North Karelia Hospital District, which has a very high cardiovascular burden, in order to form a general view of the state of secondary prevention in a high-risk region. Appropriate disease codes of CHD-diagnoses and coding for percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) were used to identify from the electronic patient records the patient group eligible for secondary prevention. The cumulative incidence rate of new patients (n = 2556) during 2011–2014 varied from 1.9% to 3.5% between municipalities. The success in secondary prevention of CHD was assessed using achievement of treatment targets as defined in national guidelines. Health centres are administrated by municipalities whereupon the main reporting units were municipalities, together with composed classification of patients by age, gender and dwelling location. Health disparities between municipalities, settlement types and patient groups were found and are interpreted. Moreover, spatial high-risk and low-risk clusters of acute CHD were detected. The proportion of patients achieving the treatment targets of low-density lipoprotein cholesterol (LDL-C) varied from 21% to 38% between municipalities. Variation was also observed in the follow-up of patients; e.g., the rate of follow-up measurements of LDL-C in municipalities varied from 72% to 86%. Spatial variation in patients’ sociodemographic and neighbourhood characteristics and morbidity burden partly explain the differences in outcomes, but there are also very likely differences in the care process between municipalities which requires a study in its own right.
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Affiliation(s)
- Teppo Repo
- Department of Geographical and Historical Studies, University of Eastern Finland, 80101 Joensuu, Finland.
| | - Markku Tykkyläinen
- Department of Geographical and Historical Studies, University of Eastern Finland, 80101 Joensuu, Finland.
| | - Juha Mustonen
- North Karelia Hospital District, 80210 Joensuu, Finland.
| | | | - Matti Ketonen
- North Karelia Hospital District, 80210 Joensuu, Finland.
| | - Maija Toivakka
- Department of Geographical and Historical Studies, University of Eastern Finland, 80101 Joensuu, Finland.
| | - Tiina Laatikainen
- North Karelia Hospital District, 80210 Joensuu, Finland.
- National Institute for Health and Welfare (THL), 00271 Helsinki, Finland.
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland.
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