scholarly journals Waste in Health Care

2019 ◽  
Vol 22 (4) ◽  
pp. 245
Author(s):  
De Micheli, A.

Waste in a health service is every activity, behavior, asset and service that, using resources, does not produce results in terms of health, well-being or quality of life. According to the OECD, in different countries, about 20% of health expenditure makes little or no contribution to improving people’s health. Avoiding waste is theoretically easy: health interventions delivered according to a principle of appropriateness are not wasting. However, there are multiple obstacles. Waste has, in fact, different causes: inappropriateness, use of ineffective health interventions, over- and under- use of health interventions, low quality standards, medical errors, lack of innovation, misplaced and unmotivated resource allocation, administrative complexity, incorrect management of equipments, assets and services, wasted time, non-compliance with quality standards, purchasing of technologies and assets at an excessive price, incomplete design or non-completion of works, fraud and corruption. In Italy, in 2017, waste in Health Service, even if calculated on indirect and inaccurate data, was estimated at 21.59 (±20%: 17.27 – 25.91) billion euros, 17-21% of public health spending. Strategies to reduce waste are essentially two: stop doing activities that do not generate value; use, if any, equal in effectiveness and safety, but less expensive, alternatives. The implementation goes through targeted research and the culture of continuous improvement rooted in the organization and owned and applied by decision makers and every health or administrative provider. KEY WORDS health resources; allocation of resources; cost-benefit analysis; health services misuse; inappropriate prescribing

Author(s):  
Emma McIntosh

Chapter 6 explores the many challenges associated with identification, measurement, valuation, reporting, and presenting outcomes within economic evaluations of population health interventions and policies. Drawing on the vast literature in this area, existing guidelines, government recommendations, and methodological advances, this chapter will outline the current challenges, solutions, and suggestions. This chapter also introduces a number of research developments and new outcome measures particularly suited to public health intervention evaluation. These developments include the growing acceptance and relevance of broader measures of outcomes, greater use of ‘capability well-being’ as an outcome, and an increasing use of alternative reporting and presenting frameworks to accommodate these outcomes such as cost–consequence analysis, multi-criteria decision analysis, and social cost–benefit analysis.


2015 ◽  
Vol 53 (4) ◽  
pp. 1033-1036

Matthew D. Adler of Duke University reviews “Happiness and the Law”, by John Bronsteen, Christopher Buccafusco, and Jonathan S. Masur. The Econlit abstract of this book begins: “Assesses how the law affects people's quality of life with a particular focus on criminal punishment and civil lawsuits. Discusses measuring happiness; well-being analysis; well-being analysis versus cost–benefit analysis; happiness and punishment; adaptation, affective forecasting, and civil litigation; some problems with preference theories and objective theories; a hedonic theory of well-being; addressing objections to the hedonic theory; and the future of happiness and the law. Bronsteen is a professor in the Loyola University Chicago School of Law. Buccafusco is an associate professor in the Chicago-Kent School of Law and Codirector of the Center for Empirical Studies of Intellectual Property at the Illinois Institute of Technology. Masur is John P. Wilson Professor of Law in the University of Chicago Law School.”


2002 ◽  
Vol 24 (4) ◽  
pp. 267-303 ◽  
Author(s):  
Arthur J. Reynolds ◽  
Judy A. Temple ◽  
Dylan L. Robertson ◽  
Emily A. Mann

We conducted the first cost-benefit analysis of a federally financed, comprehensive early childhood program. The Title I Chicago Child-Parent Centers are located in public schools and provide educational and family support services to low-income children from ages 3 to 9. Using data from a cohort of 1,539 program and comparison-group children born in 1980 who participate in the Chicago Longitudinal Study, measures of program participation were significantly associated with greater school achievement, higher rates of high school completion, and with significantly lower rates of remedial education services, juvenile delinquency, and child maltreatment. Economic analyses indicated that the measured and projected economic benefits of preschool participation, school-age participation, and extended program participation exceeded costs. In present-value 1998 dollars, the preschool program provided a return to society of $7.14 per dollar invested by increasing economic well-being and tax revenues, and by reducing public expenditures for remedial education, criminal justice treatment, and crime victims. The extended intervention program (4 to 6 years of participation) provided a return to society of $6.11 per dollar invested while the school-age program yielded a return of $1.66 per dollar invested. Findings demonstrate that an established public program can provide benefits that far exceed costs. Key elements of CPC program effectiveness include an instructional focus on literacy, opportunities for intensive parent involvement, and implementation by well-trained staff within a single administrative system.


Author(s):  
Emma McIntosh ◽  
Camilla Baba ◽  
Willings Botha

Chapter 9 introduces the reader to the stages of cost–benefit analysis (CBA) as specifically applied to public health intervention economic evaluation. The specific focus of this chapter follows on from the messages of Chapter 6 on the relevance of, and methods for, quantifying the ‘outcomes’ of public health interventions in monetary form for CBA. Two case studies focus on the use of stated preference discrete choice experiment (SPDCE) methodology for valuation of multi-attribute benefits comprising health, non-health, and process outcomes of the type likely to occur in PHIs.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S357-S357
Author(s):  
Britney A Webster ◽  
Greg Smith ◽  
Frank Infurna

Abstract Custodial grandmothers (CGMs) and adolescent custodial grandchildren (ACG) face risk of poorer social skills and competencies due to early life adversities which have downstream negative consequences for mental and physical health. We describe an RCT examining the efficacy of an online social intelligence intervention (SII) at improving the emotional, interpersonal, and physical well-being of CGM-ACG dyads through mutual enhancement of their social competencies. Our SII is particularly valuable for these dyads because it enhances their social competencies and relationships, thereby leading to positive outcomes. Additionally, adolescence is a critical period for developing social competencies, largely through interactions with female caregivers. Our longitudinal mixed-methods approach addresses four aims: (1) Investigating if SII improves social competencies and overall well-being through both actor and partner effects; (2) Exploring moderators of SII efficacy; (3) Studying qualitatively how dyads view SII as changing their lives; and (4) Conducting a SII cost-benefit analysis. [Funded by R01AG054571]


Author(s):  
Matthew D. Adler

This chapter describes and compares the two most important policy-analysis methodologies in economics: cost-benefit analysis (CBA) and the social-welfare-function (SWF) framework. Both approaches are consequentialist and welfarist; both are typically combined with a preference-based view of well-being. Despite these similarities, the two methodologies differ in significant ways. CBA translates well-being impacts into monetary equivalents, and ranks outcomes according to the sum total of monetary equivalents. By contrast, the SWF framework relies upon an interpersonally comparable measure of well-being. Each possible outcome is mapped onto a list (vector) of these well-being numbers, one for each person in the population; the ranking of outcomes, then, is driven by some rule (the SWF) for ranking these well-being vectors. The utilitarian SWF and the prioritarian family of SWFs (each corresponding to well-developed positions in moral philosophy) are especially plausible. The case for using CBA rather than one of these SWFs is weak—or so the chapter argues.


2016 ◽  
Vol 7 (1) ◽  
pp. 196-219 ◽  
Author(s):  
Matthew D. Adler

Two important developments in recent policy analysis are behavioral economics and subjective-well-being (SWB) surveys. What is the connection between them? Some have suggested that behavioral economics strengthens the case for SWB surveys as a central policy tool, e.g., in the form of SWB-based cost-benefit analysis. This article reaches a different conclusion. Behavioral economics shows that individuals in their day-to-day, “System 1” behavior are not expected utility (EU-) rational – that they often fail to comply with the norms of rationality set forth by EU theory. Consider now that the standard preference-based view of individual well-being looks to individuals’ rational preferences. If the findings of behavioral economics are correct, an individual’s answer to a question such as “How satisfied are you with your life?” is not going to tell us much about her rational (EU-compliant) preferences. Behavioral economics, by highlighting widespread failures of EU rationality, might actually argue for an objective-good (non-preference-based) view of well-being. However (except in the limiting case of an objective-good view positing a single mentalistic good, happiness), SWB surveys will not be strong evidence of well-being in the objective-good sense. In short, SWB surveys are no “magic cure” for the genuine difficulties in inferring rational preferences and measuring well-being underscored by behavioral economics.


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