Author: Kerm HenriksenPublisher:
ISBN:
Category : Medical
Languages : en
Pages : 526
Book Description
v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.
Advances in Patient Safety
Author: Kerm HenriksenPublisher:
ISBN:
Category : Medical
Languages : en
Pages : 526
Book Description
v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.
2011 Benchmarks in Reducing Hospital Readmissions
Author: Carolyn HolderPublisher:
ISBN: 9781936186723
Category :
Languages : en
Pages : 45
Book Description
Primary Care
Author: Barbara StarfieldPublisher: Oxford University Press, USA
ISBN:
Category : Medical
Languages : en
Pages : 284
Book Description
This comprehensive work provides a lucid examination of the difficult problems that arise with the implementation of effective primary care. The book has four purposes: to help practitioners of primary care understand what they do and why; to provide a basis for the training of primary care practitioners; to stimulate research that will provide a more substantive basis for improvements in primary care; and to help policy makers understand the difficulties and challenges of primary care and its importance. In addition to discussing systems of primary care and alternative ways of evaluating them, the author addresses important issues such as practitioner-patient communication, information systems and medical records, referral processes, personnel, managed care, financing, quality assessment and community orientation. This unique volume provides a clear and valuable assessment of the basic concepts, issues and challenges in this increasingly important field.
Ending Hospital Readmissions: A Blueprint for SNFs
Author: Barbara AcelloPublisher: HC Pro, Inc.
ISBN: 1601468202
Category : Medical
Languages : en
Pages : 303
Book Description
"Ending Hospital Readmissions: A Blueprint for SNFs" delivers several practical strategies your facility can employ to combat unchecked resident readmissions. In it you willl find essential tools to combat this problem, including enhanced resident assessment and documentation policies, provider partnerships that improve transitions of care, staff education tools, and methods to achieve resident and staff involvement."
Hospital Readmissions
Author: Stephan R. CoxPublisher: Nova Science Publishers
ISBN: 9781624172830
Category : POLITICAL SCIENCE
Languages : en
Pages : 0
Book Description
Nearly 20% of Medicare beneficiaries aged 65 and over who were admitted to a hospital in 2005 were readmitted within 30 days following their initial discharge. The Medicare Payment Advisory Commission estimated that these readmissions cost the Medicare program as much as $15 billion per year and that perhaps as much as two-thirds of these readmissions may be preventable. This book provides an overview on the subject of hospital readmissions with a focus on the complexities, reduction efforts and analyses of hospital-acquired conditions. Hospital readmissions are associated with a number of factors and are not necessarily attributable to problems with the quality of patient care, but strong evidence indicates specific interventions to better manage care transitions at the time of hospital discharge could reduce readmissions for certain conditions.
Mental Health Atlas 2017
Author: World Health OrganizationPublisher: World Health Organization
ISBN: 9241514019
Category : Medical
Languages : en
Pages : 72
Book Description
Collects together data compiled from 177 World Health Organization Member States/Countries on mental health care. Coverage includes policies, plans and laws for mental health, human and financial resources available, what types of facilities providing care, and mental health programmes for prevention and promotion.
Unequal Treatment
Author: Institute of MedicinePublisher: National Academies Press
ISBN: 030908265X
Category : Medical
Languages : en
Pages : 781
Book Description
Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients' and providers' attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider-patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.
Closing the Quality Gap
Author: Kaveh G. ShojaniaPublisher:
ISBN: 9781587632594
Category : Disaster hospitals
Languages : en
Pages : 7
Book Description
The CMS Hospital Conditions of Participation and Interpretive Guidelines
Author: Publisher:
ISBN: 9781683086857
Category :
Languages : en
Pages : 546
Book Description
In addition to reprinting the PDF of the CMS CoPs and Interpretive Guidelines, we include key Survey and Certification memos that CMS has issued to announced changes to the emergency preparedness final rule, fire and smoke door annual testing requirements, survey team composition and investigation of complaints, infection control screenings, and legionella risk reduction.
Hospital Readmissions
Author: Aman VermaPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
"Hospital readmission rates vary widely across regions and hospitals, suggesting that improvements are possible. To provide an incentive to improve quality of care, some jurisdictions have introduced legislation that financially penalizes hospitals with high readmission rates, but the models used to implement the legislation crudely adjusts for patient-mix. Additionally, hospitals have developed predictive models of readmission risk to better target enhanced transitional care. In this work, I examined how large healthcare administrative databases can help build better inferential and predictive models of hospital readmissions. To target interventions at those patients with the highest readmission risk, hospitals can develop predictive models of readmission based on their own data (local models), they can pool their data with other hospitals (global models) or they can use sophisticated model combination techniques which avoid directly sharing patient data (combined models). In the first manuscript, I compared the accuracy of global, combined, and local models in predicting 30-day readmission risk, and found that the predictive accuracy of models developed with the three approaches were similar, suggesting that hospitals can use their own data to accurately predict hospital readmissions. Although predictive models of hospital readmissions can be useful to guide resources to individual high-risk cases, inferential models can potentially lead to population-level interventions. In the second manuscript, I studied how the day-of-week of discharge affects readmission, and used both empiric (survival model) and analytic (Markov model) approaches to study how this effect is confounded by the probability of admission on the weekend. I found that not only are Friday discharges more likely to be readmitted than Wednesday discharges, but also that the low probability of weekend admissions attenuates this effect if uncontrolled. Our results suggest that interventions that reduce the effect of Friday discharge on readmissions, such as increased weekend staffing, are likely to be more cost-effective than previous work has indicated.In the third manuscript, I compare two techniques to measure the effect of twenty Montreal hospitals on readmissions: a standard regression approach that controls for the major, well-known confounders, and targeted maximum likelihood estimation (TMLE) where I could control for pre-admission diagnoses, procedures, and drug prescriptions using a machine learning technique (random forest). The standard model suggested that there was little difference between the hospitals, but the TMLE model showed that the confounders, particularly drug prescriptions, strongly confounded readmission risk, and revealed a wide variation in readmission risk between the hospitals. My work suggests that: 1) predictive models of readmission are unlikely to be greatly improved by pooling hospital data or by using complex combination techniques, 2) inference on the causes of readmissions, particularly the day-of-week, can be confounded by the admission process, and 3) by using TMLE, the predictive power of machine learning techniques can be used to improve inference by reducing bias in our estimates of the effect of hospital care on readmissions." --