2019
DOI: 10.1513/annalsats.201811-755ws
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Reducing Chronic Obstructive Pulmonary Disease Hospital Readmissions. An Official American Thoracic Society Workshop Report

Abstract: Chronic obstructive pulmonary disease (COPD) is the third leading cause of hospital readmissions in the United States. The quality of care delivered to patients with COPD is known to be lacking across the care continuum, and may contribute to high rates of readmission. As part of the response to these issues, the Centers for Medicare and Medicaid instituted a penalty for 30-day readmissions as part of their Hospital Readmission Reduction Program in October 2014. At the time the penalty was instated, there was … Show more

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Cited by 68 publications
(67 citation statements)
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“…Moreover, coordinated work with the social services should be implemented to improve the impact of the patients' dependence to perform BADLs so as to reduce the rate of readmissions based on the findings obtained in this respect for other pathologies [27]. This result could also reinforce the role of Pulmonary Rehabilitation in reducing short-and longterm readmission following discharge from an index admission due to a severe COPD [18]. The use of a non-specific index of respiratory pathology in this study, such as Barthel's index [21], which is influenced not only by dyspnoea, but also by other functional mobility or cognitive impairments, or even by the patients' specific degree of support, could have influenced the strength that this variable had in our study.…”
Section: Discussionmentioning
confidence: 90%
See 1 more Smart Citation
“…Moreover, coordinated work with the social services should be implemented to improve the impact of the patients' dependence to perform BADLs so as to reduce the rate of readmissions based on the findings obtained in this respect for other pathologies [27]. This result could also reinforce the role of Pulmonary Rehabilitation in reducing short-and longterm readmission following discharge from an index admission due to a severe COPD [18]. The use of a non-specific index of respiratory pathology in this study, such as Barthel's index [21], which is influenced not only by dyspnoea, but also by other functional mobility or cognitive impairments, or even by the patients' specific degree of support, could have influenced the strength that this variable had in our study.…”
Section: Discussionmentioning
confidence: 90%
“…Experts in this field state that these variables must be included in the predictive scales [17]. In fact, the current US program that financially penalizes hospitals with a great number of readmissions has been criticized due to the fact that it does not make any adjustments for social aspects [18,19]. Thus, it seems surprising that little emphasis has been placed on social dysfunction (financial situation, housing situation, family support, caregiver overload, ability to perform basic and instrumental activities, and risk of social exclusion), as the benefit that can be obtained by improving these variables would have a greater impact on the patient than small improvements achieved in their overall situation and pulmonary function [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…On the one hand, the penalty could have encouraged hospitals and physicians to start to provide better care for COPD patients. Under pressure from clearly defined penalties, hospitals started to design readmission reduction programs, 41 and programs bearing a higher risk may increase the likelihood of reducing preventable readmissions. 34 But, on the other hand, hospitals may lower readmissions by shifting care to other high-resource settings such as observation stays or emergency room (ED) visits rather than delivering higher quality care, because these settings were exempt from the HRRP.…”
Section: Discussionmentioning
confidence: 99%
“…COPD treatment may be a marker for persons with particularly severe disease, who are also more likely to have poor outcomes. Confounding characteristics related to readmissions after a COPD hospitalization include patient age, indicators of disease severity such as medications used, and comorbidities (in particular cardiovascular-related morbidities) [16,31,32]. Inadequate assessment and adjustment for biases can lead to false conclusions [33,34].…”
Section: Key Pointsmentioning
confidence: 99%