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Jung DH, DuGoff E, Smith M, Palta M, Gilmore-Bykovskyi A, Mullahy J. Likelihood of hospital readmission in Medicare Advantage and Fee-For-Service within same hospital. Health Serv Res 2020; 55:587-595. [PMID: 32608522 DOI: 10.1111/1475-6773.13315] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To assess the extent to which all-cause 30-day readmission rate varies by Medicare program within the same hospitals. STUDY DESIGN We used conditional logistic regression clustered by hospital and generalized estimating equations to compare the odds of unplanned all-cause 30-day readmission between Medicare Fee-for-Service (FFS) and Medicare Advantage (MA). DATA COLLECTION Wisconsin Health Information Organization collects claims data from various payers including private insurance, Medicare, and Medicaid, twice a year. PRINCIPAL FINDINGS For 62 of 66 hospitals, hospital-level readmission rates for MA were lower than those for Medicare FFS. The odds of 30-day readmission in MA were 0.92 times lower than Medicare FFS within the same hospital (odds ratio, 0.93; 95 percent confidence interval, 0.89-0.98). The adjusted overall readmission rates of Medicare FFS and MA were 14.9 percent and 11.9 percent, respectively. CONCLUSION These findings provide additional evidence of potential variations in readmission risk by payer and support the need for improved monitoring systems in hospitals that incorporate payer-specific data. Further research is needed to delineate specific care delivery factors that contribute to differential readmission risk by payer source.
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Affiliation(s)
- Daniel H Jung
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Eva DuGoff
- Health Services Administration, University of Maryland at College Park, College Park, MD
| | - Maureen Smith
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Health Innovation Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.,Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI
| | - Mari Palta
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrea Gilmore-Bykovskyi
- School of Nursing, University of Wisconsin-Madison, Madison, WI.,William S Middleton Memorial Veterans Hospital, Geriatric Research Education and Clinical Center (GRECC), Madison, WI.,Division of Geriatrics, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI
| | - John Mullahy
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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Carbonneau M, Eboreime EA, Hyde A, Campbell-Scherer D, Faris P, Gramlich L, Tsuyuki RT, Congly SE, Shaheen AA, Sadler M, Zeman M, Spiers J, Abraldes JG, Sugars B, Sia W, Green L, Abdellatif D, Schaefer JP, Selvarajah V, Marr K, Ryan D, Westra Y, Bakshi N, Varghese JC, Tandon P. The cirrhosis care Alberta (CCAB) protocol: implementing an evidence-based best practice order set for the management of liver cirrhosis - a hybrid type I effectiveness-implementation trial. BMC Health Serv Res 2020; 20:558. [PMID: 32552833 PMCID: PMC7301349 DOI: 10.1186/s12913-020-05427-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Liver cirrhosis is a leading cause of morbidity, premature mortality and acute care utilization in patients with digestive disease. In the province of Alberta, hospital readmission rates for patients with cirrhosis are estimated at 44% at 90 days. For hospitalized patients, multiple care gaps exist, the most notable stemming from i) the lack of a structured approach to best practice care for cirrhosis complications, ii) the lack of a structured approach to broader health needs and iii) suboptimal preparation for transition of care into the community. Cirrhosis Care Alberta (CCAB) is a 4-year multi-component pragmatic trial which aims to address these gaps. The proposed intervention is initiated at the time of hospitalization through implementation of a clinical information system embedded electronic order set for delivering evidence-based best practices under real-world conditions. The overarching objective of the CCAB trial is to demonstrate effectiveness and implementation feasibility for use of the order set in routine patient care within eight hospital sites in Alberta. METHODS A mixed methods hybrid type I effectiveness-implementation design will be used to evaluate the effectiveness of the order set intervention. The primary outcome is a reduction in 90-day cumulative length of stay. Implementation outcomes such as reach, adoption, fidelity and maintenance will also be evaluated alongside other patient and service outcomes such as readmission rates, quality of care and cost-effectiveness. This theory-based trial will be guided by Normalization Process Theory, Consolidated Framework on Implementation Research (CFIR) and the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) Framework. DISCUSSION The CCAB project is unique in its breadth, both in the comprehensiveness of the multi-component order set and also for the breadth of its roll-out. Lessons learned will ultimately inform the feasibility and effectiveness of this approach in "real-world" conditions as well as adoption and adaptation of these best practices within the rest of Alberta, other provinces in Canada, and beyond. TRIAL REGISTRATION ClinicalTrials.gov: NCT04149223, November 4, 2019.
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Affiliation(s)
- Michelle Carbonneau
- Alberta Health Services, Edmonton & Calgary, AB, Canada
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Ejemai Amaize Eboreime
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Ashley Hyde
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Denise Campbell-Scherer
- Department of Family Medicine, University of Alberta, Edmonton, AB, Canada
- Office of Lifelong Learning and the Physician Learning Program, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Peter Faris
- Alberta Health Services, Edmonton & Calgary, AB, Canada
| | - Leah Gramlich
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Ross T Tsuyuki
- Department of Medicine, Division of Cardiology, University of Alberta, Edmonton, AB, Canada
- Department of Pharmacology, University of Alberta, Edmonton, AB, Canada
| | - Stephen E Congly
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Calgary, Calgary, AB, Canada
- O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Abdel Aziz Shaheen
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Calgary, Calgary, AB, Canada
- O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Matthew Sadler
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Calgary, Calgary, AB, Canada
| | - Marilyn Zeman
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Jude Spiers
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
| | - Juan G Abraldes
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
- Centre of Excellence for Gastrointestinal Inflammation and Immunity Research (CEGIIR), University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Benjamin Sugars
- Department of Medicine, Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada
| | - Winnie Sia
- Department of Medicine, Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada
| | - Lee Green
- Department of Family Medicine, University of Alberta, Edmonton, AB, Canada
| | - Dalia Abdellatif
- Department of Family Medicine, University of Alberta, Edmonton, AB, Canada
| | - Jeffrey P Schaefer
- Department of Medicine, Division of General Internal Medicine, University of Calgary, Calgary, AB, Canada
| | - Vijeyakumar Selvarajah
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada
| | - Kaleb Marr
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Calgary, Calgary, AB, Canada
| | - David Ryan
- Central Alberta Digestive Disease Specialists, Red Deer, AB, Canada
| | - Yolande Westra
- Department of Medicine, Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada
| | - Neeja Bakshi
- Department of Medicine, Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada
| | - Jayant C Varghese
- Department of Medicine, Division of General Internal Medicine, University of Alberta, Edmonton, AB, Canada
| | - Puneeta Tandon
- Department of Medicine, Division of Gastroenterology, University of Alberta, Edmonton, AB, T6G2X8, Canada.
- Centre of Excellence for Gastrointestinal Inflammation and Immunity Research (CEGIIR), University of Alberta, Edmonton, AB, T6G2X8, Canada.
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Veronesi G, Zambon A, Beltrame JF, Gianfagna F, Corrao G, Ferrario MM. Monitoring quality of care in acute myocardial infarction patients using retrospective registry data. Int J Qual Health Care 2018; 30:344-350. [PMID: 29474652 DOI: 10.1093/intqhc/mzy025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 02/02/2018] [Indexed: 11/14/2022] Open
Abstract
Background Hospital-based registries provide a key contribution in assessing the quality of care in acute myocardial infarction (MI) patients, although some concern on selection bias of included cases has recently arisen. We investigated the feasibility of a retrospective, population-based registry of MIs in monitoring the quality of care. Methods We identified all the hospitalizations with a diagnosis of acute MI among 35-79 years old residents in the Varese province, Northern Italy, in 2007-2008. Information needed to define performance according to the American Heart Association set was extracted from hospital case histories. To characterize our approach, we focus on data completeness for critical event times and eligibility criteria, and on the analysis of ST-elevated MI (STEMI) patients according to received reperfusion treatment. Results Exact time of hospital admission and of percutaneous coronary angioplasty (PCI) procedure was available in 96% and 77% of MIs, with no difference between non-transferred (n = 1399) and inter-hospital transferred (n = 300) patients. Data completeness for eligibility to action/treatment criteria was >90% for each performance measure except statin prescription at discharge (76%). About 45% of STEMI experienced a delay in PCI-capable hospital arrival, and only one every three ST-elevated MI patients received primary PCI; these were more likely to be younger male cases with less comorbidities than un-treated patients. Conclusions Complementary to clinical registries, the retrospective population-based is a feasible approach which allows monitoring the entire pattern of care of all hospitalized MI patients independent of their clinical characteristics.
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Affiliation(s)
- Giovanni Veronesi
- Research Center in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Antonella Zambon
- Department of Statistics and Quantitative Methods, University of Milano Bicocca, Milano, Italy
| | - John F Beltrame
- University of Adelaide, Central Adelaide Local Health Network, The Queen Elizabeth Hospital Campus, Adelaide, Australia
| | - Francesco Gianfagna
- Research Center in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy.,Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy
| | - Giovanni Corrao
- Department of Statistics and Quantitative Methods, University of Milano Bicocca, Milano, Italy
| | - Marco M Ferrario
- Research Center in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy
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Tsai J, Grant AM, Beckman MG, Grosse SD, Yusuf HR, Richardson LC. Determinants of venous thromboembolism among hospitalizations of US adults: a multilevel analysis. PLoS One 2015; 10:e0123842. [PMID: 25879844 PMCID: PMC4399914 DOI: 10.1371/journal.pone.0123842] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 02/25/2015] [Indexed: 12/01/2022] Open
Abstract
Background Venous thromboembolism (VTE) is a significant clinical and public health concern. We evaluated a variety of multilevel factors—demographics, clinical and insurance status, preexisting comorbid conditions, and hospital characteristics—for VTE diagnosis among hospitalizations of US adults. Methods We generated adjusted odds ratios with 95% confidence intervals (CIs) and determined sources of outcome variation by conducting multilevel logistic regression analysis of data from the 2011 Nationwide Inpatient Sample that included 6,710,066 hospitalizations of US adults nested within 1,039 hospitals. Results Among hospitalizations of adults, age, sex, race or ethnicity, total days of hospital stay, status of health insurance, and operating room procedure were important determinants of VTE diagnosis; each of the following preexisting comorbid conditions—acquired immune deficiency syndrome, anemia, arthritis, congestive heart failure, coagulopathy, hypertension, lymphoma, metastatic cancer, other neurological disorders, obesity, paralysis, pulmonary circulation disorders, renal failure, solid tumor without metastasis, and weight loss—was associated independently with 1.04 (95% CI: 1.02−1.06) to 2.91 (95% CI: 2.81−3.00) times increased likelihood of VTE diagnosis than among hospitalizations of adults without any of these corresponding conditions. The presence of 2 or more of such conditions was associated a 180%−450% increased likelihood of a VTE diagnosis. Hospitalizations of adults who were treated in urban hospitals were associated with a 14%−15% increased likelihood of having a VTE diagnosis than those treated in rural hospitals. Approximately 7.4% of the total variation in VTE diagnosis occurred between hospitals. Conclusion The presence of certain comorbidities and hospital contextual factors is associated with significantly elevated likelihood of VTE diagnosis among hospitalizations of adults. The findings of this study underscore the importance of clinical risk assessment and adherence to evidence-based clinical practice guidelines in preventing VTE, as well as the need to evaluate potential contextual factors that might modify the risk of VTE among hospitalized patients.
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Affiliation(s)
- James Tsai
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail:
| | - Althea M. Grant
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Michele G. Beckman
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Scott D. Grosse
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Hussain R. Yusuf
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Lisa C. Richardson
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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Abstract
BACKGROUND We have preciously demonstrated that trauma patients receive less than two-thirds of the care recommended by evidence-based medicine. The purpose of this study was to identify patients least likely to receive optimal care. METHODS Records of a random sample of 774 patients admitted to a Level I trauma center (2006-2008) with moderate to severe injuries (Abbreviated Injury Scale score ≥3) were reviewed for compliance with 25 trauma-specific processes of care (T-POC) endorsed by Advanced Trauma Life Support, Eastern Association for the Surgery of Trauma, the Brain Trauma Foundation, Surgical Care Improvement Project, and the Glue Grant Consortium based on evidence or consensus. These encompassed all aspects of trauma care, including initial evaluation, resuscitation, operative care, critical care, rehabilitation, and injury prevention. Multivariate logistic regression was used to identify patients likely to receive recommended care. RESULTS Study patients were eligible for a total of 2,603 T-POC, of which only 1,515 (58%) were provided to the patient. Compliance was highest for T-POC involving resuscitation (83%) and was lowest for neurosurgical interventions (17%). Increasing severity of head injuries was associated with lower compliance, while intensive care unit stay was associated with higher compliance. There was no relationship between compliance and patient demographics, socioeconomic status, overall injury severity, or daily volume of trauma admissions. CONCLUSION Little over half of recommended care was delivered to trauma patients with moderate to severe injuries. Patients with increasing severity of traumatic brain injuries were least likely to receive optimal care. However, differences among patient subgroups are small in relation to the overall gap between observed and recommended care. LEVEL OF EVIDENCE II.
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Shahian DM, Nordberg P, Meyer GS, Blanchfield BB, Mort EA, Torchiana DF, Normand SLT. Contemporary performance of U.S. teaching and nonteaching hospitals. ACADEMIC MEDICINE : JOURNAL OF THE ASSOCIATION OF AMERICAN MEDICAL COLLEGES 2012; 87:701-8. [PMID: 22534588 DOI: 10.1097/acm.0b013e318253676a] [Citation(s) in RCA: 110] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
PURPOSE To compare the performance of U.S. teaching and nonteaching hospitals using a portfolio of contemporary, publicly reported metrics. METHOD The authors classified acute care general hospitals filing a Medicare Institutional Cost Report according to teaching intensity: nonteaching, teaching, or Council of Teaching Hospitals member. They compared aggregate results across categories for Hospital Compare process compliance, mortality, and readmission rates (acute myocardial infarction [AMI], heart failure, pneumonia); Surgical Care Improvement Project (SCIP) performance; compliance with Leapfrog standards; patient experience; patient services and key technologies; safety (computerized physician order entry, intensive care unit staffing, National Quality Forum safe practices, hospital-acquired conditions); and cost/resource utilization (Medicare-adjusted expense per case; Leapfrog efficiency and resource use standards). RESULTS Availability of patient services and advanced technologies were associated with teaching intensity (P < .0001), as were most hospital safety metrics. Teaching intensity was favorably associated with SCIP performance, AMI and heart failure process scores, and mortality (P < .0001). It was unfavorably associated with higher AMI and pneumonia readmission rates (P < .0001) and lower scores for individual patient satisfaction measures. Costs per case were similar (P = .4194) across hospital categories after correction for federally allowed adjustments (case mix, wages, and low-income patient care). CONCLUSIONS Teaching hospitals offer advanced clinical capabilities, educate the next generation of providers, care for disadvantaged urban populations, and are leaders in health care research and innovation. However, many stakeholders may be unaware of an additional value-relatively higher quality and safety in many areas, with similar adjusted costs.
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Affiliation(s)
- David M Shahian
- Center for Quality and Safety, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
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Chen TT, Lai MS, Lin IC, Chung KP. Exploring and comparing the characteristics of nonlatent and latent composite scores: implications for pay-for-performance incentive design. Med Decis Making 2011; 32:132-44. [PMID: 21310853 DOI: 10.1177/0272989x10395596] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A concise and reliable composite quality score would be helpful in judging the quality of a hospital's services, especially for pay-for-performance (P4P) initiatives. This study compared several nonlatent and latent composite quality scores to evaluate the quality of care using diabetes mellitus (DM) P4P data and discusses their characteristics and implications for P4P policy. The authors describe a cross-sectional study of the DM P4P data collected from the claims data of the Bureau of National Health Insurance (NHI) in Taiwan from January 2007 to December 2007. The DM patient outcome data, such as hemoglobin A1C values, were retrieved from the P4P database sponsored by the Bureau of NHI in Taiwan. The composite scores were derived from the following methods: 1) nonlatent scores methods (e.g., the raw sum score and the all-or-none score methods)and 2) latent scores methods (e.g., item-response theory-based Models I and II and the PRIDIT model). These scores are compared in terms of 2 aspects-agreement of hospital rankings (using Spearman's rank correlation) and reliability (using bootstrap methods). The latent methods were superior to the nonlatent methods because they were more reliable and had specific weighting themes. The correlations among the 3 latent methods were moderately high. The use of the PRIDIT approach, which is moderately difficult compared with item response theory-based model, is recommended if the insurer wants to balance convenience and precision.
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Affiliation(s)
- Tsung-Tai Chen
- Department of Healthcare Information and Management, Ming Chuan University (TTC),Center for Health Insurance Research, College of Public Health, National Taiwan University (TTC, MSL, KPC)
| | - Mei-Shu Lai
- Center for Health Insurance Research, College of Public Health, National Taiwan University (TTC, MSL, KPC),Institute of Preventive Medicine, College of Public Health, National Taiwan University (MSL)
| | - I-Chin Lin
- Institute of Epidemiology, College of Public Health, National Taiwan University (ICL)
| | - Kuo-Piao Chung
- Center for Health Insurance Research, College of Public Health, National Taiwan University (TTC, MSL, KPC),Institute of Health Care Organization Administration, College of Public Health, National Taiwan University (KPC)
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Ballard DJ, Ogola G, Fleming NS, Stauffer BD, Leonard BM, Khetan R, Yancy CW. Impact of a standardized heart failure order set on mortality, readmission, and quality and costs of care. Int J Qual Health Care 2010; 22:437-44. [PMID: 20935009 DOI: 10.1093/intqhc/mzq051] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE To determine the impact of a standardized heart failure order set on mortality, readmission, and quality and costs of care. DESIGN Observational study. SETTING Eight acute care hospitals and two specialty heart hospitals. PARTICIPANTS All adults (>18 years) discharged from one of the included hospitals between December 2007 and March 2009 with a diagnosis of heart failure, who had not undergone heart transplant, did not have a left ventricular assistive device, and with a length of stay of 120 or less days. INTERVENTIONS A standardized heart failure order set was developed internally, with content driven by the prevailing American College of Cardiology/American Heart Association clinical practice guidelines, and deployed systemwide via an intranet physician portal. MAIN OUTCOME MEASURES Publicly reported process of care measures, in-patient mortality, 30-day mortality, 30-day readmission, length of stay, and direct cost of care were compared for heart failure patients treated with and without the order set. RESULTS Order set used reached 73.1% in March 2009. After propensity score adjustment, order set use was associated with significantly increased core measures compliance [odds ratio (95% confidence interval) = 1.51(1.08; 2.12)] and reduced in-patient mortality [odds ratio (95% confidence interval) = 0.49(0.28; 0.88)]. Reductions in 30-day mortality and readmission approached significance. Direct cost for initial admissions alone and in combination with readmissions were significantly lower with order set use. CONCLUSIONS Implementing an evidence-based standardized order set may help improve outcomes, reduce costs of care and increase adherence to evidence-based processes of care.
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Affiliation(s)
- David J Ballard
- Baylor Health Care System, Institute for Health Care Research and Improvement, Dallas, TX 75206, USA.
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ERRATUM. Med Care 2009. [DOI: 10.1097/mlr.0b013e3181acfa9b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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