scholarly journals Health Care Investment: The Case of Multiple Sources of Risk

2019 ◽  
Vol 27 (2) ◽  
pp. 231-255
Author(s):  
Octave Jokung ◽  
Sovan Mitra
Keyword(s):  
Health Care ◽  
Health Risks ◽  
Policy Implications ◽  
Risk Averse ◽  
Negative Dependence ◽  
Multiple Sources ◽  
Medical Treatments ◽  
Increasing Concave Order ◽  
Increasing Risk ◽  
Demand For Health

Abstract This paper analyses the effect of a bivariate risk on the optimal expenses in health care and gives conditions under which any change in the bivariate risk with respect to the $$\left( {s_{1} ,s_{2} } \right) -$$s1,s2-increasing concave order decreases the expenses in health care. Increasing risk increases the demand for health care for risk-averse and prudent individuals in the multivariate sense. Positive (negative) dependence increases (decreases) expenses in health care. Increasing the correlation produces the same results. Furthermore, the uncertainty surrounding the effectiveness of medical treatments amplifies the effect of any change in wealth and health risks. We also present some policy implications.

Uncertainty, the Demand for Health Care, and Precautionary Saving

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Diego Nocetti ◽  
William T Smith
Keyword(s):  
Health Care ◽  
Preventive Care ◽  
Precautionary Saving ◽  
Health Capital ◽  
Future Health ◽  
Medical Treatments ◽  
Ordinal Preferences ◽  
Consumption Model ◽  
Demand For Health ◽  
Different Sources

Abstract We analyze the demand for medical care and precautionary saving in a framework with uncertainty surrounding the incidence of illness and the effectiveness of medical treatments and a representation of preferences that disentangles ordinal preferences, risk preferences, and intertemporal smoothing preferences. We consider a “pure consumption” model with exogenous health capital and a model where young consumers invest in preventive care to increase their future health stock. In both cases, we establish conditions for the different sources for uncertainty to induce precautionary saving and we evaluate how uncertainty affects the demand of curative and preventive care. We also show that given the self-insurance function of preventive care, consumers' welfare may increase with the degree of uncertainty surrounding health care effectiveness.

scholarly journals Reduction in US Health Care Spending Required to Meet the Institute of Medicine’s 2030 Target

2020 ◽  
Vol 110 (12) ◽  
pp. 1735-1740
Author(s):  
J. Mac McCullough ◽  
Matthew Speer ◽  
Sanne Magnan ◽  
Jonathan E. Fielding ◽  
David Kindig ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Health Care ◽  
The United States ◽  
Health Care Spending ◽  
Multiple Sources ◽  
High Resource ◽  
Traditional Approaches ◽  
Demand For Health ◽  
Critical Public Health

Objectives. To quantify changes in US health care spending required to reach parity with high-resource nations by 2030 or 2040 and identify historical precedents for these changes. Methods. We analyzed multiple sources of historical and projected spending from 1970 through 2040. Parity was defined as the Organisation for Economic Co-operation and Development (OECD) median or 90th percentile for per capita health care spending. Results. Sustained annual declines of 7.0% and 3.3% would be required to reach the median of other high-resource nations by 2030 and 2040, respectively (3.2% and 1.3% to reach the 90th percentile). Such declines do not have historical precedent among US states or OECD nations. Conclusions. Traditional approaches to reducing health care spending will not enable the United States to achieve parity with high-resource nations; strategies to eliminate waste and reduce the demand for health care are essential. Public Health Implications. Excess spending reduces the ability of the United States to meet critical public health needs and affects the country’s economic competitiveness. Rising health care spending has been identified as a threat to the nation’s health. Public health can add voices, leadership, and expertise for reversing this course.

scholarly journals Integrating data from multiple Finnish biobanks and national health-care registers for retrospective studies: Practical experiences

2021 ◽  
pp. 140349482110044
Author(s):  
Jaakko Lähteenmäki ◽  
Anna-Leena Vuorinen ◽  
Juha Pajula ◽  
Kari Harno ◽  
Mika Lehto ◽  
...  
Keyword(s):  
Health Care ◽  
Statistical Power ◽  
Data Exchange ◽  
Register Data ◽  
Genotype Data ◽  
Multiple Sources ◽  
Hospital Data ◽  
National Register ◽  
National Register Data ◽  
Health Care Encounters

Aim: This case study aimed to investigate the process of integrating resources of multiple biobanks and health-care registers, especially addressing data permit application, time schedules, co-operation of stakeholders, data exchange and data quality. Methods: We investigated the process in the context of a retrospective study: Pharmacogenomics of antithrombotic drugs (PreMed study). The study involved linking the genotype data of three Finnish biobanks (Auria Biobank, Helsinki Biobank and THL Biobank) with register data on medicine dispensations, health-care encounters and laboratory results. Results: We managed to collect a cohort of 7005 genotyped individuals, thereby achieving the statistical power requirements of the study. The data collection process took 16 months, exceeding our original estimate by seven months. The main delays were caused by the congested data permit approval service to access national register data on health-care encounters. Comparison of hospital data lakes and national registers revealed differences, especially concerning medication data. Genetic variant frequencies were in line with earlier data reported for the European population. The yearly number of international normalised ratio (INR) tests showed stable behaviour over time. Conclusions: A large cohort, consisting of versatile individual-level phenotype and genotype data, can be constructed by integrating data from several biobanks and health data registers in Finland. Co-operation with biobanks is straightforward. However, long time periods need to be reserved when biobank resources are linked with national register data. There is a need for efforts to define general, harmonised co-operation practices and data exchange methods for enabling efficient collection of data from multiple sources.

Hypnotherapy as an Adjunct to Medical Treatment: Highlighting Effectiveness and Identifying Barriers to Further Integrative Treatment

2021 ◽  
pp. 097206342110115
Author(s):  
Feryad A. Hussain
Keyword(s):  
Health Care ◽  
Medical Treatment ◽  
Health Care Services ◽  
Well Being ◽  
Medical Treatments ◽  
Care Services ◽  
Secondary Health Care ◽  
History Of ◽  
Clinical Hypnosis ◽  
The Mind

Integrative models of health care have garnered increasing attention over the years and are currently being employed within acute and secondary health care services to support medical treatments in a range of specialities. Clinical hypnosis has a history of working in partnership with medical treatments quite apart from its psychiatric associations. It aims to mobilise the mind–body connection in order to identify and overcome obstacles to managing symptoms of ill health, resulting in overall improved emotional and physical well-being. This article aims to encourage the use of hypnotherapy in physical health care by highlighting the effectiveness of hypnosis as an adjunct to medical treatment and identifying barriers preventing further integrative treatments.

EXPRESS: Big Data, Marketing Analytics, and Public Policy: Implications for Health Care

2021 ◽  
pp. 074391562199903
Author(s):  
Praveen K. Kopalle ◽  
Donald R. Lehmann
Keyword(s):  
Health Care ◽  
Public Policy ◽  
Big Data ◽  
Policy Implications ◽  
Marketing Analytics

This paper highlights some benefits to and issues with the application of big data and analytics, with emphasis on its role in health care. It considers both its effectiveness/value (i.e., how it can be used) and concerns about its use related to privacy and acceptance by individuals (i.e., how it should be used)

Profiling Primary Care Physicians for a New Managed Care Network

1997 ◽  
Vol 10 (3) ◽  
pp. 173-186 ◽  
Author(s):  
R. J. Ozminkowski ◽  
M. Noether ◽  
P. Nathanson ◽  
K. M. Smith ◽  
B. E. Raney ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Care Physicians ◽  
Claims Data ◽  
Severity Of Illness ◽  
Policy Implications ◽  
Case Mix ◽  
Reform Strategies ◽  
Insurance Program ◽  
Insurance Claims Data ◽  
Care Costs

We developed methods for comparing physicians who would be selected to participate in a major employer's self-insurance program. These methods used insurance claims data to identify and profile physicians according to deviations from prevailing practice and outcome patterns, after considering differences in case-mix and severity of illness among the patients treated by those providers. The discussion notes the usefulness and limitations of claims data for this and other purposes. We also comment on policy implications and the relationships between our methods and health care reform strategies designed to influence overall health care costs.

QUANTIFICATION OF OCCUPATIONAL LATEX AEROALLERGENS IN A MEDICAL CENTER

PEDIATRICS ◽  
1995 ◽  
Vol 96 (2) ◽  
pp. 381-381
Author(s):  
Thomas Fischer
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
Medical Center ◽  
Air Sampling ◽  
Personal Air Sampling ◽  
Increasing Risk ◽  
Allergen Content

Measures to control exposure to latex can be monitored by area and personal air sampling with immunochemical approaches. Because of the increasing risk to health care professionals exposed to latex, the use of gloves with low allergen content or powder-free gloves appear to be most effective in reducing latex aeroallergen levels.

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