1
|
Coffield E, Thirunavukkarasu S, Ho E, Munnangi S, Angus LDG. Disparities in length of stay for hip fracture treatment between patients treated in safety-net and non-safety-net hospitals. BMC Health Serv Res 2020; 20:100. [PMID: 32041586 PMCID: PMC7011469 DOI: 10.1186/s12913-020-4896-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 01/08/2020] [Indexed: 12/31/2022] Open
Abstract
Background Length of hospital stay (LOS) for hip fracture treatments is associated with mortality. In addition to patient demographic and clinical factors, hospital and payer type may also influence LOS, and thus mortality, among hip fracture patients; accordingly, outcome disparities between groups may arise from where patients are treated and from their health insurance type. The purpose of this study was to examine if where hip fracture patients are treated and how they pay for their care is associated with outcome disparities between patient groups. Specifically, we examined whether LOS differed between patients treated at safety-net and non-safety-net hospitals and whether LOS was associated with patients’ insurance type within each hospital category. Methods A sample of 48,948 hip fracture patients was extracted from New York State’s Statewide Planning and Research Cooperative System (SPARCS), 2014–2016. Using means comparison and X2 tests, differences between safety-net and non-safety-net hospitals on LOS and patient characteristics were examined. Relationships between LOS and hospital category (safety-net or non-safety-net) and LOS and insurance type were further evaluated through negative binomial regression models. Results LOS was statistically (p ≤ 0.001) longer in safety-net hospitals (7.37 days) relative to non-safety-net hospitals (6.34 days). Treatment in a safety-net hospital was associated with a LOS that was 11.7% (p = 0.003) longer than in a non-safety-net hospital. Having Medicaid was associated with a longer LOS relative to having commercial health insurance. Conclusion Where hip fracture patients are treated is associated with LOS and may influence outcome disparities between groups. Future research should examine whether outcome differences between safety-net and non-safety-net hospitals are associated with resource availability and hospital payer mix.
Collapse
Affiliation(s)
- Edward Coffield
- Department of Health Professions, Hofstra University, 262 Swim Center, 220 Hofstra University, Hempstead, NY, 11549-2200, USA.
| | - Saeyoan Thirunavukkarasu
- Department of Data Analytics, Alliance for Positive Change, 64 West 35th Street, New York, NY, 10001, USA
| | - Emily Ho
- Department of Surgery, Nassau University Medical Center, 2201 Hempstead Turnpike, East Meadow, NY, 11554, USA
| | - Swapna Munnangi
- Department of Surgery, Nassau University Medical Center, 2201 Hempstead Turnpike, East Meadow, NY, 11554, USA
| | - L D George Angus
- Department of Surgery, Nassau University Medical Center, 2201 Hempstead Turnpike, East Meadow, NY, 11554, USA
| |
Collapse
|
2
|
Nicholas LH, Hanson C, Segal JB, Eisenberg MD. Association Between Treatment by Fraud and Abuse Perpetrators and Health Outcomes Among Medicare Beneficiaries. JAMA Intern Med 2020; 180:62-69. [PMID: 31657838 PMCID: PMC6820041 DOI: 10.1001/jamainternmed.2019.4771] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Fraud and abuse contribute to unnecessary spending in the Medicare program, and federal agencies have prioritized fund recovery and the exclusion of health care practitioners who violate policy. However, the human costs of fraud and abuse in terms of patient health are unknown. OBJECTIVE To assess whether Medicare beneficiaries' receipt of health care services from fraud and abuse perpetrators (FAPs) is associated with worse health outcomes. DESIGN, SETTING, AND PARTICIPANTS Retrospective cross-sectional study comparing mortality and emergency hospitalization rates of 8204 patients treated by an FAP with those among patients treated by a randomly selected non-FAP in 2013. Known FAPs were identified from the December 2018 List of Excluded Individuals/Entities (LEIE) published by the Office of the Inspector General in the Department of Health and Human Services. Patients were identified in a 5% sample of Medicare claims data and were enrolled in the Fee-for-Service program. EXPOSURES Treatment by a health care professional subsequently excluded from Medicare for fraud, patient harm, or a revoked license. MAIN OUTCOMES AND MEASURES All-cause mortality between 2013 and 2015 and 2013 emergency hospitalizations. RESULTS A total of 8204 Medicare beneficiaries in the study sample (mean [SD] age, 69.2 [14.2] years; 58.2% female, and 23.0% nonwhite) saw an FAP for the first time in 2013. Of these, 5054 (61.6%) were treated by fraud perpetrators, 1157 (14.1%) by patient harm perpetrators, and 1193 (24.3%) by revoked license perpetrators. Compared with 296 298 beneficiaries treated by non-FAPs (mean [SD] age, 71.1 [12.4] years; 58.6% female, and 16.5% nonwhite), beneficiaries exposed to an FAP were more likely to be eligible for both Medicare and Medicaid (34.7% [2845 of 8204] vs 21.9% [64 989 of 296 298]; P < .001) and more likely to be disabled at an age younger than 65 years (27.2% [2231 of 8204] vs 18.6% [55 168 of 296 298]; P < .001). All FAP exposures were associated with higher mortality and emergency hospitalization rates after risk adjustment and propensity score weighting: for mortality, exposures to fraud FAPs were associated with an increase of 4.58 percentage points (95% CI, 2.02-7.13; P < .001); to patient harm FAPs, with an increase of 3.34 percentage points (95% CI, 1.40-5.27; P = .001); and to revoked license FAPs, with an increase of 3.33 percentage points (95% CI, 1.58-5.09; P < .001). Increases were similar for emergency hospitalization rates: for fraud FAP exposures, 3.24 percentage points (95% CI, 0.01-6.46; P = .049); for patient harm FAP exposures, 9.34 percentage points (95% CI, 6.02-12.65; P < .001); and for revoked license FAP exposures, 9.28 percentage points (95% CI, 6.43-12.13; P < .001). CONCLUSIONS AND RELEVANCE This study's findings suggest that receiving medical care from FAPs may be associated with significantly higher rates of all-cause mortality and emergency hospitalization after risk adjustment. Identifying and permanently removing FAPs from the Medicare program may be associated with improved beneficiary health in addition to financial savings.
Collapse
Affiliation(s)
- Lauren Hersch Nicholas
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Caroline Hanson
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Jodi B Segal
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | |
Collapse
|
3
|
Udell JA, Desai NR, Li S, Thomas L, de Lemos JA, Wright-Slaughter P, Zhang W, Roe MT, Bhatt DL. Neighborhood Socioeconomic Disadvantage and Care After Myocardial Infarction in the National Cardiovascular Data Registry. Circ Cardiovasc Qual Outcomes 2018; 11:e004054. [DOI: 10.1161/circoutcomes.117.004054] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Patients living in disadvantaged neighborhoods are at high risk for adverse outcomes after acute myocardial infarction (MI). Whether residential socioeconomic status (SES) is associated with quality of in-hospital care among patients presenting with MI is unclear.
Methods and Results:
Multivariable logistic regression was used to examine the relationship between SES, quality of care, and in-hospital cardiovascular outcomes among patients with MI from diverse SES neighborhoods from July 2008 to December 2013, at 586 participating hospitals in the Acute Coronary Treatment and Intervention Outcomes Network Registry–Get With The Guidelines quality improvement program. Patients were categorized according to which SES summary measure group they resided in through linkage with US census block data. Outcomes were in-hospital mortality and major adverse cardiovascular events. Quality of MI care was assessed with the defect-free care measure that delineates the proportion of eligible patients who received all acute and discharge guideline-recommended therapies. Among 390 692 patients, there was a substantially longer median arrival-to-angiography time in lower SES neighborhoods (lowest 8.0 hours, low 5.5 hours, medium 4.8 hours, high 4.5 hours, highest 3.4 hours;
P
<0.0001), and a higher proportion of ST-segment–elevation myocardial infarction patients treated with fibrinolysis (lowest 23.1%, low 20.2%, medium 18.0%, high 14.2%, highest 5.9%;
P
<0.0001). However, after adjustment for clinical risk factors, insurance status, and hospital characteristics, socioeconomic disadvantage was not associated with lower rates of guideline-recommended defect-free acute care. Patients presenting from more disadvantaged neighborhoods had a progressively higher independent risk of in-hospital mortality (
P
global
=0.03) and major bleeding (
P
global
<0.001), along with lower quality of discharge care.
Conclusions:
In this national registry of MI, patients living in the most disadvantaged neighborhoods received equitable in-hospital care compared with advantaged neighborhoods. However, they experienced substantial delays in receiving angiography. Furthermore, patients living in disadvantaged neighborhoods remain at higher risk of adverse in-hospital outcomes after MI, including mortality. These observations suggest there are further opportunities for improvement in acute and discharge MI care.
Collapse
Affiliation(s)
- Jacob A. Udell
- Cardiovascular Division, Department of Medicine, Peter Munk Cardiac Centre, Toronto General Hospital and Women’s College Hospital, University of Toronto, ON, Canada (J.A.U.)
| | - Nihar R. Desai
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine and Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (N.R.D.)
| | - Shuang Li
- Cardiovascular Division, Department of Medicine, Duke Clinical Research Institute, Duke University, Durham, NC (S.L., L.T., M.T.R.)
| | - Laine Thomas
- Cardiovascular Division, Department of Medicine, Duke Clinical Research Institute, Duke University, Durham, NC (S.L., L.T., M.T.R.)
| | - James A. de Lemos
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (J.A.D.L.)
| | - Phyllis Wright-Slaughter
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (P.W.-S., W.Z.)
| | - Wenying Zhang
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor (P.W.-S., W.Z.)
| | - Matthew T. Roe
- Cardiovascular Division, Department of Medicine, Duke Clinical Research Institute, Duke University, Durham, NC (S.L., L.T., M.T.R.)
| | - Deepak L. Bhatt
- Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital Heart & Vascular Center and Harvard Medical School, Boston, MA (D.L.B.)
| |
Collapse
|
4
|
|
5
|
Valley TS, Sjoding MW, Goldberger ZD, Cooke CR. ICU Use and Quality of Care for Patients With Myocardial Infarction and Heart Failure. Chest 2016; 150:524-32. [PMID: 27318172 DOI: 10.1016/j.chest.2016.05.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 05/26/2016] [Accepted: 05/31/2016] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Quality of care for acute myocardial infarction (AMI) and heart failure (HF) varies across hospitals, but the factors driving variation are incompletely understood. We evaluated the relationship between a hospital's ICU or coronary care unit (CCU) admission rate and quality of care provided to patients with AMI or HF. METHODS A retrospective cohort study of Medicare beneficiaries hospitalized in 2010 with AMI or HF was performed. Hospitals were grouped into quintiles according to their risk- and reliability-adjusted ICU admission rates for AMI or HF. We examined the rates that hospitals failed to deliver standard AMI or HF processes of care (process measure failure rates), 30-day mortality, 30-day readmissions, and Medicare spending after adjusting for patient and hospital characteristics. RESULTS Hospitals in the lowest quintile had ICU admission rates < 29% for AMI or < 8% for HF. Hospitals in the top quintile had rates > 61% for AMI or > 24% for HF. Hospitals in the highest quintile had higher process measure failure rates for some but not all process measures. Hospitals in the top quintile had greater 30-day mortality (14.8% vs 14.0% [P = .002] for AMI; 11.4% vs 10.6% [P < .001] for HF), but no differences in 30-day readmissions or Medicare spending were seen compared with hospitals in the lowest quintile. CONCLUSIONS Hospitals with the highest rates of ICU admission for patients with AMI or HF delivered lower quality of care and had higher 30-day mortality for these conditions. Hospitals with high ICU use may be targets to improve care delivery.
Collapse
Affiliation(s)
- Thomas S Valley
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI.
| | - Michael W Sjoding
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI
| | - Zachary D Goldberger
- Division of Cardiology, Department of Internal Medicine, University of Washington, Seattle, WA
| | - Colin R Cooke
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI; Center for Health Outcomes and Policy, and the Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| |
Collapse
|
6
|
Gaskin DJ, Zare H, Haider AH, LaVeist TA. The Quality of Surgical and Pneumonia Care in Minority-Serving and Racially Integrated Hospitals. Health Serv Res 2015; 51:910-36. [PMID: 26418717 DOI: 10.1111/1475-6773.12394] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE To explore the association between quality of care for surgical and pneumonia patients and the racial/ethnic composition of hospitals' patients. DATA SOURCE Our primary data were surgical and pneumonia processes of care indicators from the 2012 Medicare Hospital Compare Data. We merged this data with information from the 2011 American Hospital Association Annual Survey of Hospitals. We computed the racial and ethnic composition of hospital patients using 2008 data from the Healthcare Costs and Utilization Project. STUDY DESIGN The sample included 1,198 acute care general hospitals from 11 states: AZ, CA, FL, IA, MA, MD, NC, NJ, NY, WA, and WI. We compared quality across minority-serving, racially integrated, and majority-white hospitals using unconditional quantile regression models controlling for hospital and market characteristics. PRINCIPAL FINDINGS We found quality differences between the lowest performing minority-serving, racially integrated, and majority-white hospitals. As we moved from 10th to 90th quantile, the quality differences between hospitals by patients' racial composition disappeared. In other words, the best minority-serving and racially integrated hospitals performed as well as the best majority hospitals. CONCLUSIONS Efforts to improve quality of care for patients in minority-serving and racially integrated hospitals should focus on the lowest performers.
Collapse
Affiliation(s)
- Darrell J Gaskin
- Department of Health Policy and Management, Hopkins Center of Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Hossein Zare
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.,Faculty Appointments & Services, University of Maryland University College (UMUC), Adelphi, MD
| | - Adil H Haider
- Center for Surgery and Public Health, Brigham and Women's Hospitals, Boston, MA
| | - Thomas A LaVeist
- Department of Health Policy and Management, Hopkins Center of Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| |
Collapse
|
7
|
Marshall L, Harbin V, Hooker J, Oswald J, Cummings L. Safety Net Hospital Performance on National Quality of Care Process Measures. J Healthc Qual 2012; 34:21-31. [DOI: 10.1111/j.1945-1474.2011.00186.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
8
|
Lin E, Diaz-Granados N, Stewart DE, Bierman AS. Postdischarge care for depression in Ontario. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2011; 56:481-9. [PMID: 21878159 DOI: 10.1177/070674371105600806] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE People hospitalized for depression are often discharged before the acute phase of their illness has resolved and need timely care transitions to prevent relapse. We examined 30-day postdischarge service use for Ontarians, aged 15 years or older, who were hospitalized for depression. We focused on a pattern consistent with guideline and policy directions: higher rates of physician visits, postdischarge, combined with lower rates of emergency department (ED) admissions or rehospitalization. METHODS Administrative data for the fiscal year of 2005 were used to identify hospitalizations for depression and subsequent physician visits, ED admissions, or readmissions for depression within 30 days, postdischarge. Sex, age, income, and geographic location were examined along with the relation between health care resources (beds, EDs, and physicians) and postdischarge service use. RESULTS Sixty-three percent of patients discharged for depression were followed, within 30 days, by a physician visit for depression. Twenty-five percent were either rehospitalized or visited an ED. Women and people from urban or high income areas were more likely to have postdischarge physician visits. Readmissions and ED visits were correlated with number of EDs, but postdischarge physician visits were not related to the number of general practitioners, family physicians, and psychiatrists in the local area. CONCLUSION One-third of Ontarians hospitalized for depression did not receive recommended follow-up outpatient care within 30 days of discharge and one-quarter received follow-up through ED visits or readmissions, highlighting the need to improve coordination and integration across care settings for these patients. There are tested transitional and outpatient models that improve quality and outcomes of depression care that merit serious consideration.
Collapse
Affiliation(s)
- Elizabeth Lin
- Centre for Addiction and Mental Health, Toronto, Ontario.
| | | | | | | |
Collapse
|
9
|
Abstract
CONTEXT Understanding whether and why there are racial disparities in readmissions has implications for efforts to reduce readmissions. OBJECTIVE To determine whether black patients have higher odds of readmission than white patients and whether these disparities are related to where black patients receive care. DESIGN Using national Medicare data, we examined 30-day readmissions after hospitalization for acute myocardial infarction (MI), congestive heart failure (CHF), and pneumonia. We categorized hospitals in the top decile of proportion of black patients as minority-serving. We determined the odds of readmission for black patients compared with white patients at minority-serving vs non-minority-serving hospitals. SETTING AND PARTICIPANTS Medicare Provider Analysis Review files of more than 3.1 million Medicare fee-for-service recipients who were discharged from US hospitals in 2006-2008. MAIN OUTCOME MEASURE Risk-adjusted odds of 30-day readmission. RESULTS Overall, black patients had higher readmission rates than white patients (24.8% vs 22.6%, odds ratio [OR], 1.13; 95% confidence interval [CI], 1.11-1.14; P < .001); patients from minority-serving hospitals had higher readmission rates than those from non-minority-serving hospitals (25.5% vs 22.0%, OR, 1.23; 95% CI, 1.20-1.27; P < .001). Among patients with acute MI and using white patients from non-minority-serving hospitals as the reference group (readmission rate 20.9%), black patients from minority-serving hospitals had the highest readmission rate (26.4%; OR, 1.35; 95% CI, 1.28-1.42), while white patients from minority-serving hospitals had a 24.6% readmission rate (OR, 1.23; 95% CI, 1.18-1.29) and black patients from non-minority-serving hospitals had a 23.3% readmission rate (OR, 1.20; 95% CI, 1.16-1.23; P < .001 for each); patterns were similar for CHF and pneumonia. The results were unchanged after adjusting for hospital characteristics including markers of caring for poor patients. CONCLUSION Among elderly Medicare recipients, black patients were more likely to be readmitted after hospitalization for 3 common conditions, a gap that was related to both race and to the site where care was received.
Collapse
Affiliation(s)
- Karen E Joynt
- Department of Health Policy and Management, Harvard School of Public Health, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.
| | | | | |
Collapse
|