scholarly journals In response – additional support to high-risk patients can reduce hospital readmissions

2010 ◽  
Vol 10 (2) ◽  
pp. 202.2-203
Author(s):  
Z Shalchi ◽  
S Saso ◽  
HK Li ◽  
E Rowlandson ◽  
RC Tennant
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yunwei Gai ◽  
Dessislava Pachamanova

Abstract Background The Hospital Readmissions Reduction Program (HRRP) was established by the 2010 Patient Protection and Affordable Care Act (ACA) in an effort to reduce excess hospital readmissions, lower health care costs, and improve patient safety and outcomes. Although studies have examined the policy’s overall impacts and differences by hospital types, research is limited on its effects for different types of vulnerable populations. The aim of this study was to analyze the impact of the HRRP on readmissions for three targeted conditions (acute myocardial infarction, heart failure, and pneumonia) among four types of vulnerable populations, including low-income patients, patients served by hospitals that serve a high percentage of low-income or Medicaid patients, and high-risk patients at the highest quartile of the Elixhauser comorbidity index score. Methods Data on patient and hospital information came from the Nationwide Readmission Database (NRD), which contained all discharges from community hospitals in 27 states during 2010–2014. Using difference-in-difference (DD) models, linear probability regressions were conducted for the entire sample and sub-samples of patients and hospitals in order to isolate the effect of the HRRP on vulnerable populations. Multiple combinations of treatment and control groups and triple difference (DDD) methods were used for testing the robustness of the results. All models controlled for the patient and hospital characteristics. Results There have been statistically significant reductions in readmission rates overall as well as for vulnerable populations, especially for acute myocardial infarction patients in hospitals serving the largest percentage of low-income patients and high-risk patients. There is also evidence of spillover effects for non-targeted conditions among Medicare patients compared to privately insured patients. Conclusions The HRRP appears to have created the right incentives for reducing readmissions not only overall but also for vulnerable populations, accruing societal benefits in addition to previously found reductions in costs. As the reduction in the rate of readmissions is not consistent across patient and hospital groups, there could be benefits to adjusting the policy according to the socioeconomic status of a hospital’s patients and neighborhood.


2020 ◽  
Vol 9 (2) ◽  
pp. e000814 ◽  
Author(s):  
Lesley Charles ◽  
Lisa Jensen ◽  
Jacqueline M I Torti ◽  
Jasneet Parmar ◽  
Bonnie Dobbs ◽  
...  

BackgroundImproving transitions in care is a major focus of healthcare planning. The objective of this study was to determine the improvement in transitions from an intervention identifying complex older adult patients in acute care and supporting their discharge into the community.MethodsThis was a quality assurance study evaluating an intervention on high-risk patients admitted in an acute care hospital. In phase 1, the Length of Stay, Acuity of the Admission, Charlson Comorbidity Index Score, and Emergency Department Use (LACE Index) was selected to assess a patient’s risk for readmission and a standard discharge protocol was developed. In phase 2, the intervention was implemented: (1) all patients were screened for the risk of readmission using the LACE Index; and (2) the high-risk patients were provided care coordination including follow-up phone calls focused on medications, equipment and homecare services. Emergency department (ED) revisits and hospital readmissions were measured.ResultsThe LACE Index identified 433/1621 (27%) patients at high risk for readmission. Care coordination was achieved within 72 hours in 79% of patients. The 433 high-risk patients receiving the intervention, compared with a group without intervention (n=231), had lower lengths of stay (12.7 days vs 16.6 days); similar 7-day ED revisits (10.6% vs 10.8%) and 30-day ED revisits (30.5% vs 33.3%); lower 90-day readmissions (39.3% vs 44.6%); and lower 6-month readmissions (50.9% vs 58.4%). The 7-day and 30-day readmissions were similar in both groups.ConclusionsIdentifying complex patients at high risk for readmission and supporting them during transitions from acute care to home potentially decreases lengths of hospital stay and prevents short-term ED revisits and long-term readmissions.


2020 ◽  
Vol 12 (3) ◽  
pp. 184-190
Author(s):  
Robert M. Van Haren ◽  
Arlene M. Correa ◽  
Boris Sepesi ◽  
David C. Rice ◽  
Wayne L. Hofstetter ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A376-A376
Author(s):  
B JEETSANDHU ◽  
R JAIN ◽  
J SINGH ◽  
M JAIN ◽  
J SHARMA ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 436-436
Author(s):  
Christopher J. Kane ◽  
Martha K. Terris ◽  
William J. Aronson ◽  
Joseph C. Presti ◽  
Christopher L. Amling ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 263-263
Author(s):  
Nathalie Rioux-Leclercq ◽  
Florence Jouan ◽  
Pascale Bellaud ◽  
Jacques-Philippe Moulinoux ◽  
Karim Bensalah ◽  
...  

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