HM Revenue and Customs has taken significant steps to improve the efficiency of National Insurance administration. It has managed to reduce staff numbers substantially while avoiding any major operational failures. However, HMRC needs to demonstrate more clearly that it is providing value for money from the £350 million it spends each year and take advantage of opportunities to secure further savings. In the area of HMRC with responsibility for maintaining National Insurance records there were 1,200 staffing reductions. But HMRC does not have a clear picture of the total costs of the system and how these have changed. During the period of change there have been no significant operating failures across the system of collecting and recording National Insurance contributions. Furthermore, there are examples of significant increases in productivity in processing information. However, HMRC has not achieved all of its National Insurance performance targets. In particular, while it has improved its accuracy in processing data, in 2009-10 the Department achieved 93 per cent accuracy against its target of 97 per cent. There are a number of ways in which HMRC could improve how the system of National Insurance functions. On accuracy, HMRC needs to ensure standards of accuracy for National Insurance records are applied consistently across all operations and take account of the longer term costs and consequences of inaccuracies in processing. On efficiency, although some improvements would depend on the availability of funding for IT enhancements, considering the system in its entirety would help secure savings

Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.

The Social Security Administration (SSA) administers two programs that provide benefits based on disability: the Social Security Disability Insurance (SSDI) program and the Supplemental Security Income (SSI) program. This report analyzes health care utilizations as they relate to impairment severity and SSA's definition of disability. Health Care Utilization as a Proxy in Disability Determination identifies types of utilizations that might be good proxies for "listing-level" severity; that is, what represents an impairment, or combination of impairments, that are severe enough to prevent a person from doing any gainful activity, regardless of age, education, or work experience.

In this book the authors explore the state of the art on efficiency measurement in health systems and international experts offer insights into the pitfalls and potential associated with various measurement techniques. The authors show that: - The core idea of efficiency is easy to understand in principle - maximizing valued outputs relative to inputs, but is often difficult to make operational in real-life situations - There have been numerous advances in data collection and availability, as well as innovative methodological approaches that give valuable insights into how efficiently health care is delivered - Our simple analytical framework can facilitate the development and interpretation of efficiency indicators.

Ghana National Health Insurance Scheme (NHIS) was established in 2003 as a major vehicle to achieve the country’s commitment of Universal Health Coverage. The government has earmarked value-added tax to finance NHIS in addition to deduction from Social Security Trust (SSNIT) and premium payment. However, the scheme has been running under deficit since 2009 due to expansion of coverage, increase in service use, and surge in expenditure. Consequently, Ghana National Health Insurance Authority (NHIA) had to reduce investment fund, borrow loans and delay claims reimbursement to providers in order to fill the gap. This study aimed to provide policy recommendations on how to improve efficiency and financial sustainability of NHIS based on health sector expenditure and NHIS claims expenditure review. The analysis started with an overall health sector expenditure review, zoomed into NHIS claims expenditure in Volta region as a miniature for the scheme, and followed by identifictation of factors affecting level and efficiency of expenditure. This study is the first attempt to undertake systematic in-depth analysis of NHIS claims expenditure. Based on the study findings, it is recommended that NHIS establish a stronger expenditure control system in place for long-term sustainability. The majority of NHIS claims expenditure is for outpatient consultations, district hospitals and above, certain member groups (e.g., informal group, members with more than five visits in a year). These distribution patterns are closely related to NHIS design features that encourages expenditure surge. For example, year-round open registration boosted adverse selection during enrollment, essentially fee-for-service provider mechanisms incentivized oversupply but not better quality and cost-effectiveness, and zero patient cost-sharing by patients reduced prudence in seeking care and caused overuse. Moreover, NHIA is not equipped to control expenditure or monitor effect of cost-containment policies. The claims processing system is mostly manual and does not collect information on service delivery and results. No mechanisms exist to monitor and correct providers’ abonormal behaviors, as well as engage NHIS members for and engaging members for information verification, case management and prevention.