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Individuals suffering from serious mental illness (SMI) face many challenges of navigating a complex and often fragmented health care system and may die significantly earlier from co-morbid physical health conditions. Integrating mental and physical health care for individuals with SMI is an emerging trend addressing the often-neglected physical health care needs of this population to better coordinate care and improve health outcomes.

Population Health Management (PHM) provides a useful framework for designing integrated care programs for individuals with SMI.

This paper examines the structure and evolution of the integrated care program in Missouri in the context of PHM, highlighting particular elements of PHM that facilitate and support development of an integrated mental and physical health care program.

As health care reform provides external motivation to provide integrated care, this study can be useful as other states attempt to address this important issue.

Health care spending in the U.S. continues to outpace inflation and wage growth, which is likely to keep the burden of rising health care costs in the spotlight. As health care costs increase, health insurers face the challenges of providing quality health care at a reasonable cost. Some health care providers and insurers use economic measures such as return on investment to assess the effectiveness of health care. How does one measure the value of health? What are some of the advantages and disadvantages of using economic measures to evaluate health care?

This paper looks health care costs and who pays for them. What portion of health care costs is borne by employers? What portion by employees? Who does or should pay for health care of people who are uninsured? What is the role of insurance? If people do not have health care insurance, does it matter whether the reason they are uninsured is because they cannot afford it or because they choose not to be insured?

Selvam (2002) belives that the number one ethical dilemma in the U.S. is how to address the almost 40 million Americans who lack health care coverage. With rising hospital costs, even the hardest-working and most prudent persons are at risk. Many workers do not have health insurance and even if they are covered, they may not get what they need. What are some of the ethical issues facing patients, health care providers and insurers? What role should government have in assuring that all people receive quality health care?

Adolescence is a time when a young person develops his or her identity, acquires greater autonomy and independence, experiments and takes risks and grows mentally and physically. To successfully navigate these changes, an accessible and health system when needed is essential.

We assessed the structure and content of national primary care services against these standards in the field of adolescent health services. The main criteria identified by adolescents as important for primary care are as follows: accessibility, staff attitude, communication in all its forms, staff competency and skills, confidential and continuous care, age appropriate environment, involvement in health care, equity and respect and a strong link with the community.

We found that although half of the Models of Child Health Appraised countries have adopted adolescent-specific policies or guidelines, many countries do not meet the current standards of quality health care for adolescents. For example, the ability to provide emergency mental health care or respond to life-threatening behaviour is limited. Many countries provide good access to contraception, but specialised care for a pregnant adolescent may be hard to find.

Access needs to be improved for vulnerable adolescents; greater advocacy should be given to adolescent health and the promotion of good health habits. Adolescent health services should be well publicised, and adolescents need to feel empowered to access them.

The Philippine health care system is comprised of both private and public hospitals, clinics, and health care providers, and public health units serve a huge majority of the population because of their number and accessibility to more people in terms of price and location. It is therefore important to examine the performance of these public health units and see if they could become more efficient in the delivery of health services. This study will apply data envelopment analysis (DEA) to assess the efficiency of provinces in providing health care services in order to assist the Department of Health in identifying the performance level of each province, determining the targets for improvements in securing benefits and using resources, and identifying the peers of provinces in the delivery of health care. The data used in this study are taken from the Field Health Service Information System and Philippine Health Insurance System of the Department of the Health and the Statement of Income and Expenditure of the Department of Finance. The following programs were analyzed in this study: Maternal Health Care, Child Health Care, and Environmental Sanitation. These programs’ outcomes comprise the percentage of the prevalence of contraceptive use and fully immunized children, for maternal and child health care programs; and the percentage of people who have access to potable water and sanitary toilets, for environmental sanitation. As for inputs, expenditure efficiency is analyzed by the health unit budget per capita and technical efficiency includes the number of doctors and midwives per 100,000 population and the percentage of rural health units accredited by the Philippine Health Insurance Corporation. The DEA results for efficiency expenditure shows that only 9 out of 77 provinces are efficient in providing health programs given their budgets and the average input efficiency score is 54 percent and the average output efficiency score is 87 percent. As for the DEA results for technical efficiency, 24 out of 77 provinces are efficient in providing health care programs given the percentage number of doctors, midwives, and accredited health facilities by the Philippine Health Insurance Corporation. The average input efficiency score is 79 percent and the average output efficiency score is 80 percent. This study has shown the importance of DEA in analyzing the efficiency of delivery of public health services in provinces using expenditure, number of available health care providers, and the presence of accredited rural health units vis-à-vis environmental sanitation and maternal and child health care programs. DEA can rationalize the allocation of budgets among similar health units in order to further improve the efficiency in the delivery of health services in provinces. Moreover, benchmarking using DEA results can improve the accountability of provincial health units in the utilization of their budgets in order to further increase the reach of province-based health programs which could lead to a marked improvement in the health of Filipinos.

This chapter provides an introduction to the volume along with a very brief review of literature on underserved and socially disadvantaged groups and health and health care differentials.

This chapter uses the approach of a literature review.

The chapter argues for the importance of greater examination of underserved and socially disadvantaged groups in consideration of health and health care differentials.

The author reviews the issues of underserved and socially disadvantaged groups in consideration of health and health care differentials and previews this book.

We hope this research volume will change the way scholars and managers think about health care management in two fundamental ways. First, we want to challenge the superficial separations between national and international health care management. To dissolve these distinctions, the “not-invented-here” or “who cares about a Belgian, Indian, or Thai medical center,” or “that won’t work in our policy system” attitudes must change. Second, we want scholars and managers to learn how to transfer innovative ideas and management practices across cultures and around policy barriers. Cultural, language, and policy differences present formidable barriers, but we believe lessons about managing human resources, informatics, quality, services, and strategies in health care organizations can be transferred.

The aim of this research is to develop a model to forecast short-term health cost changes. The motivation for producing such a model is to provide local decision makers with a tool to predict short-term health-care costs in their localities. In order to achieve this objective, we collected data on total health-care expenditures and demographic data for California counties from 2000 to 2007. We then used various statistical methods to better understand the data and developed a regression model. Each year's prediction model was then used to forecast the following year's total health-care expenditure. The model developed adequately predicted health-care costs for the years on which the model was developed (2000–2006), and adequately forecast health-care costs for the holdout year, 2007. The average adjusted R2 value was 0.57, with an average mean absolute deviation score of 34. The best predictors of total health-care expenditures were county population, the number of county health-care facilities, and county per capita personal income. The practical implications of the model are that it will provide public and private decision makers with a useful tool for forecasting short-term demand for health-care services, enabling better planning for health-care manpower, facility planning, and financial planning needs. The contribution of this paper contrasts with the earlier work in that it supports short-term operational, not strategic, planning needs. The paper's limitation is that it relies on data from one state. It should be tested in other, dissimilar, areas of the United States.

The implementation of the Patient Protection and Affordable Care Act has facilitated the development of an innovative and integrated delivery care system, Accountable Care Organizations (ACOs). It is timely, to identify how health care managers in rural health clinics (RHCs) are responding to the ACO model. This research examines RHC managers’ perceived benefits and barriers for implementing ACOs from an organizational ecology perspective.

A survey was conducted in spring of 2012 covering the present RHC network working infrastructures – (1) Organizational social network; (2) organizational care delivery structure; (3) ACO knowledge, perceived benefits, and perceived barriers; (4) quality and disease management programs; and (5) health information technology (HIT) infrastructure. One thousand one hundred sixty clinics were surveyed in the United States. They cover eight southeastern states (Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee) and California. A total of 91 responses were received.

RHC managers’ personal perceptions on ACO’s benefits and knowledge level explained the most variance in their willingness to join ACOs. Individual perceptions appear to be more influential than organizational and context factors in the predictive analysis.

The study is primarily focused in the Southeastern region of the United States. The generalizability is limited to this region. The predictors of RHCs’ participation in ACOs are germane to guide the development of organizational strategies for enhancing the general knowledge about the innovativeness of delivering coordinated care and containing health care costs inspired by the Affordable Care Act.

RHCs are lagged behind the growth curve of ACO adoption. The diffusion of new knowledge about pros and cons of ACO is essential to reinforce the health care reform in the United States.