Abstract 6: What Proportion of High-Cost Patients’ Inpatient Spending is Preventable?

Author(s):  
Karen E Joynt ◽  
Atul Gawande ◽  
E. John Orav ◽  
Ashish K Jha

Objective: A small proportion of patients accounts for a substantial proportion of healthcare spending in the U.S., and the majority of costs in this group are due to inpatient hospitalizations. Many interventions targeting high-cost patients have aimed to prevent hospitalizations for common medical conditions. However, there is surprisingly little data on the proportion of inpatient hospitalizations among high-cost patients that are potentially preventable. We sought to determine the proportion and dollar value of preventable hospitalizations among the high-cost Medicare population, and if these patterns differ for non-high-cost beneficiaries. Methods: We assigned standardized costs to each inpatient and outpatient service contained in standard 5% Medicare files from 2009. Patients under the age of 65, those with any Medicare Advantage enrollment, and those who died during in 2009 were excluded. Costs were summed across the year and across settings for each patient in our sample. We defined those in the top decile of cost as “high-cost” patients. We then used the Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) to identify potentially preventable hospitalizations. These include conditions such as heart failure, diabetes, hypertension, and asthma, for which good outpatient care can potentially prevent the need for hospitalization. We calculated the proportion of short-stay acute-care hospital costs that were accounted for by these preventable hospitalizations for the high-cost and non-high-cost patient groups. All costs are projected to the total Medicare sample. Results: There were 1,710,989 patients in our sample. High-cost patients were older (median age 75 versus 73), more often male (43.2% versus 39.3%), and more often black (12% versus 9%) than non-high-cost patients, and had a higher burden of comorbid illnesses. Inpatient spending, projected to the total Medicare population, was $90.3 billion. The 10% of Medicare patients that made up the “high-cost” cohort accounted for 72% ($65 billion) of all inpatient spending. However, within the high-cost group, only 9.7% of the spending ($6.3 billion) was due to preventable hospitalizations, while the remaining 90.3% ($58.9 billion) was spent on other causes of hospitalization. Within the non-high-cost group, though their overall spending was lower, a slightly higher proportion of hospitalizations were potentially preventable (14.7%, or $3.7 billion). Conclusions: Though high-cost patients account for the majority of inpatient spending, fewer than one in ten of their hospitalizations are potentially preventable through better outpatient care. Thus, focusing on outpatient interventions such as case management may not be optimally targeted. We also need strategies that make hospital care more efficient so that each episode of inpatient care is less expensive regardless of its cause.

2021 ◽  
Author(s):  
◽  
Deborah Lewis

Practice Problem: Nurse turnover rate and lack of retention are issues that have an impact on safe patient care, patient mortality, quality outcomes, and patient experiences in the acute care units at the identified project setting. Turnover leads to excess labor utilization of overtime and increased hospital costs. PICOT: The PICOT question that guided this project was (P) In acute care hospital nurses, how do (I) nurse retention strategies (C) compared with no nurse retention strategies (O) reduce nurses’ intention to leave and increase job satisfaction over (T) eight weeks? Evidence: Twenty-one articles were reviewed that identified autonomy, recognition, acknowledgement, communication, and transformational leadership as nurse retention strategies, which contributed to a positive workplace environment and led to improved job satisfaction and nurse retention. Intervention: The intervention consisted of focused communication that included staff recognition and acknowledgement by the nurse leaders of each unit, which had a positive effect on the workplace environment and job satisfaction. Outcome: The results indicated a statistically insignificant change in job satisfaction and intent to stay yet did show a clinical significance. Conclusion: The benefit of the project was that there was a clinically significant change in behaviors including: verbal expressions of increased job satisfaction, notable positive attitudes and hopefulness, as well as staff resilience. Consistent leadership and a larger sample size may produce statistical significance in a future study.


2020 ◽  
Author(s):  
Anil Makam ◽  
Oanh Kieu Nguyen ◽  
Michael E. Miller ◽  
Sachin J Shah ◽  
Kandice A. Kapinos ◽  
...  

Abstract BACKGROUND: Long-term acute care hospital (LTACH) use varies considerably across the U.S., which may reflect uncertainty about the effectiveness of LTACHs vs. skilled nursing facilities (SNF), the principal post-acute care alternative. Given that LTACHs receive over triple the reimbursement of SNFs for comparable diagnoses, we sought to compare outcomes and spending between LTACH versus SNF transfer. METHODS: Using Medicare claims linked to electronic health record (EHR) data from six Texas Hospitals between 2009-2010, we conducted a retrospective cohort study of patients hospitalized on a medicine service in a high-LTACH use region and discharged to either an LTACH or SNF and followed for one year. The primary outcomes included mortality, 60-day recovery without inpatient care, days at home, and healthcare spending.RESULTS: Of 3,503 patients, 18% were transferred to an LTACH. Patients transferred to LTACHs were younger (median 71 vs. 82 years), less likely to be female (50.5 vs 66.6%) and white (69.0 vs. 84.1%), but were sicker (24.3 vs. 14.2% for prolonged intensive care unit stay; median diagnosis resource intensity weight of 2.03 vs. 1.38). In unadjusted analyses, patients transferred to an LTACH vs. SNF were less likely to survive (59.1 vs. 65.0%) or recover (62.5 vs 66.0%), and spent fewer days at home (186 vs. 200). Adjusting for demographic and clinical confounders available in Medicare claims and EHR data, LTACH transfer was not significantly associated with differences in mortality (HR, 1.12, 95% CI, 0.94-1.33), recovery (SHR, 1.07, 0.93-1.23), and days spent at home (IRR, 0.96, 0.83-1.10), but was associated with greater Medicare spending ($16,689 for one year, 95% CI, $12,216-$21,162).CONCLUSION: LTACH transfer for Medicare beneficiaries is associated with similar clinical outcomes but with higher healthcare spending compared to SNF transfer. LTACH use should be reserved for patients who require complex inpatient care and cannot be cared for in SNFs.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Anil N. Makam ◽  
Oanh Kieu Nguyen ◽  
Michael E. Miller ◽  
Sachin J. Shah ◽  
Kandice A. Kapinos ◽  
...  

Abstract Background Long-term acute care hospital (LTACH) use varies considerably across the U.S., which may reflect uncertainty about the effectiveness of LTACHs vs. skilled nursing facilities (SNF), the principal post-acute care alternative. Given that LTACHs provide more intensive care and thus receive over triple the reimbursement of SNFs for comparable diagnoses, we sought to compare outcomes and spending between LTACH versus SNF transfer. Methods Using Medicare claims linked to electronic health record (EHR) data from six Texas Hospitals between 2009 and 2010, we conducted a retrospective cohort study of patients hospitalized on a medicine service in a high-LTACH use region and discharged to either an LTACH or SNF and followed for one year. The primary outcomes included mortality, 60-day recovery without inpatient care, days at home, and healthcare spending Results Of 3503 patients, 18% were transferred to an LTACH. Patients transferred to LTACHs were younger (median 71 vs. 82 years), less likely to be female (50.5 vs 66.6%) and white (69.0 vs. 84.1%), but were sicker (24.3 vs. 14.2% for prolonged intensive care unit stay; median diagnosis resource intensity weight of 2.03 vs. 1.38). In unadjusted analyses, patients transferred to an LTACH vs. SNF were less likely to survive (59.1 vs. 65.0%) or recover (62.5 vs 66.0%), and spent fewer days at home (186 vs. 200). Adjusting for demographic and clinical confounders available in Medicare claims and EHR data, LTACH transfer was not significantly associated with differences in mortality (HR, 1.12, 95% CI, 0.94–1.33), recovery (SHR, 1.07, 0.93–1.23), and days spent at home (IRR, 0.96, 0.83–1.10), but was associated with greater Medicare spending ($16,689 for one year, 95% CI, $12,216–$21,162). Conclusion LTACH transfer for Medicare beneficiaries is associated with similar clinical outcomes but with higher healthcare spending compared to SNF transfer. LTACH use should be reserved for patients who require complex inpatient care and cannot be cared for in SNFs.


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Matthew J Meyer ◽  
Christina O’Callaghan ◽  
Linda Kelloway ◽  
Ruth Hall ◽  
Shudong Li ◽  
...  

Introduction: A substantial evidence base supports the positive benefits of post-stroke rehabilitation. The objective of this study was to evaluate the impact of inpatient rehabilitation on 2-year healthcare costs in Ontario, Canada. Methods: Acute patient data was drawn from the 2004 and 2008 Ontario Stroke Audits for 3439 patients with ischemic stroke discharged alive from an acute care hospital. Patients were assigned a propensity score using 15 demographic and clinical variables. Patients admitted to inpatient rehabilitation (Rehab) were then matched one-to-one with a patient not admitted to inpatient rehabilitation (No-Rehab) using propensity score and modified Rankin Scale (mRS) score. The cohort was stratified by mRS into three groups (mRS 0-2,3,4-5) and comparisons were drawn between Rehab and No-Rehab patients for 2-year mortality and government-billed healthcare costs (hospital, home care, and drug benefit costs). Results: No difference in mortality was noted between Rehab and No-Rehab patients with discharge mRS scores of 0-2 (p=0.39), but Rehab patients cost an average of $33,056 more over the 2 years (p<0.001) and $63 more per day survived (p<0.0001). Among patients with mRS 3, Rehab patients were significantly more likely to survive to 2 years (p<0.001), and cost an average of $22,394 more up to 2 years (p<0.001) and $5 more per day survived (p<0.0001). Rehab patients with mRS scores of 4-5 were significantly more likely to survive to 2-years (p=0.01), but cost an average of $6,607 less (p=0.24) and $29 less per day survived (p=0.07). Conclusions: Findings suggest that disability level plays an important role in the cost-effectiveness of inpatient rehabilitation. Among patients with milder disability, inpatient rehabilitation is significantly more costly with no demonstrated benefit in 2-year mortality. However among patients with moderate to severe disability, inpatient rehabilitation significantly reduces mortality rates and may actually reduce overall healthcare spending up to 2-years post stroke.


PEDIATRICS ◽  
1997 ◽  
Vol 99 (5) ◽  
pp. 715-721
Author(s):  
David W. Christensen ◽  
Paul Jansen ◽  
Ronald M. Perkin

Objective. Predictive efforts using individual factors or scoring systems do not adequately identify all intact survivors, and therefore all drowning victims are aggressively resuscitated in most emergency departments. More reliable outcome prediction is needed to guide early treatment decisions. Methods. The charts of 274 near drowning patients admitted to Loma Linda University Children's Hospital were retrospectively reviewed. Patient outcome was categorized into good (near normal function), and poor (vegetative or dead) categories. Discriminant analysis was used to identify combinations of variables most able to predict outcome and a clinical classification system was constructed. The acute care hospital costs for each group were compared. Results. Discriminant analysis classification achieved 95% accuracy, predicting death in 6 intact survivors. No combination of variables could accurately separate all intact survivors from the vegetative and dead groups. The clinical classification method achieved 93% overall accuracy, predicting death in 5 intact survivors. Of patients predicted to have a poor outcome, 5 (6.3%) survived intact. Children may experience an unpredictable, prolonged vegetative state followed by full recovery. Vegetative patients are the most expensive to care for (consuming 53% of total costs) while intact survivors are the least expensive. The majority of costs were spent on patients with poor outcome. Conclusions. Individual outcome cannot be reliably predicted in the emergency department; therefore, aggressive resuscitation of near drowning victims should be performed. Decisions to subsequently withdraw life support should be made based on integration of likelihood of survival, high (but not absolute) certainty, and parental/societal issues. The vegetative patients are the most expensive to care for, while intact survivors are least expensive. Reduction of expenditures on patients likely to have vegetative or dead outcome would result in substantial savings, but loss of normal survivors.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sinha Chandni Sen ◽  
LaSalle Colette ◽  
Argabright Debra ◽  
Hollenbeck Clarie B

2021 ◽  
pp. 1-7
Author(s):  
Martina Madl ◽  
Marietta Lieb ◽  
Katharina Schieber ◽  
Tobias Hepp ◽  
Yesim Erim

<b><i>Background:</i></b> Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. <b><i>Methods:</i></b> In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. <b><i>Results:</i></b> Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. <b><i>Discussion/Conclusion:</i></b> We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.


2021 ◽  
pp. 0272989X2199234
Author(s):  
Paul K. J. Han ◽  
Tania D. Strout ◽  
Caitlin Gutheil ◽  
Carl Germann ◽  
Brian King ◽  
...  

Background Medical uncertainty is a pervasive and important problem, but the strategies physicians use to manage it have not been systematically described. Objectives To explore the uncertainty management strategies employed by physicians practicing in acute-care hospital settings and to organize these strategies within a conceptual taxonomy that can guide further efforts to understand and improve physicians’ tolerance of medical uncertainty. Design Qualitative study using individual in-depth interviews. Participants Convenience sample of 22 physicians and trainees (11 attending physicians, 7 residents [postgraduate years 1–3), 4 fourth-year medical students), working within 3 medical specialties (emergency medicine, internal medicine, internal medicine–pediatrics), at a single large US teaching hospital. Measurements Semistructured interviews explored participants’ strategies for managing medical uncertainty and temporal changes in their uncertainty tolerance. Inductive qualitative analysis of audio-recorded interview transcripts was conducted to identify and categorize key themes and to develop a coherent conceptual taxonomy of uncertainty management strategies. Results Participants identified various uncertainty management strategies that differed in their primary focus: 1) ignorance-focused, 2) uncertainty-focused, 3) response-focused, and 4) relationship-focused. Ignorance- and uncertainty-focused strategies were primarily curative (aimed at reducing uncertainty), while response- and relationship-focused strategies were primarily palliative (aimed at ameliorating aversive effects of uncertainty). Several participants described a temporal evolution in their tolerance of uncertainty, which coincided with the development of greater epistemic maturity, humility, flexibility, and openness. Conclusions Physicians and physician-trainees employ a variety of uncertainty management strategies focused on different goals, and their tolerance of uncertainty evolves with the development of several key capacities. More work is needed to understand and improve the management of medical uncertainty by physicians, and a conceptual taxonomy can provide a useful organizing framework for this work.


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