External groups requiring measures now include public and private payers, regulators, accreditors and others that certify performance levels for consumers, patients and payers. Although benefits have accrued from the growth in quality measurement, the recent explosion in the number of measures threatens to shift resources from improving quality to cover a plethora of quality-performance metrics that may have a limited impact on the things that patients and payers want and need (ie, better outcomes, better care, and lower per capita costs). Here we propose a policy that quality measurement should be: balanced to meet the need of end users to judge quality and cost performance and the need of providers to continuously improve the quality, outcomes and costs of their services; and parsimonious to measure quality, outcomes and costs with appropriate metrics that are selected based on end-user needs.

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BackgroundThere is a need for more Comparative Effectiveness Research (CER) to strengthen the evidence base for clinical and policy decision-making. Effectiveness Guidance Documents (EGD) are targeted to clinical researchers. The aim of this EGD is to provide specific recommendations for the design of prospective acupuncture studies to support optimal use of resources for generating evidence that will inform stakeholder decision-making.MethodsDocument development based on multiple systematic consensus procedures (written Delphi rounds, interactive consensus workshop, international expert review). To balance aspects of internal and external validity, multiple stakeholders including patients, clinicians and payers were involved.ResultsRecommendations focused mainly on randomized studies and were developed for the following areas: overall research strategy, treatment protocol, expertise and setting, outcomes, study design and statistical analyses, economic evaluation, and publication.ConclusionThe present EGD, based on an international consensus developed with multiple stakeholder involvement, provides the first systematic methodological guidance for future CER on acupuncture.

Survival data from 379 patients with chronic hepatitis B were analyzed to determine life expectancy for the patient from the time of first contact. One hundred twenty-one patients had chronic persistent hepatitis, 128 had chronic active hepatitis, and 130 had chronic active hepatitis with cirrhosis. The frequency of symptoms (p less than 0.001), stigmata of chronic liver disease (p less than 0.001), and liver function test abnormalities (p less than 0.001) increased as the histologic features worsened, whereas the percentage of patients with circulating hepatitis B DNA polymerase declined (p less than 0.001). Women were uncommon in our series and had less severe disease than men (p less than 0.02). Fifty-one patients had died by the time of this analysis. The estimated 5-year survival rates were 97% for patients with chronic persistent hepatitis, 86% for those with chronic active hepatitis, and 55% for those with chronic active hepatitis with cirrhosis. The usual cause of death was liver failure and its sequelae. A multivariate analysis found age of 40 years or more, total bilirubin level of 1.5 mg/dL or more, ascites, and spider nevi to be factors that identified patients at a higher risk of death. The prognosis for patients with chronic hepatitis B is similar to that for patients with chronic hepatitis of other causes.

Healthcare costs are unsustainable. The authors propose a solution to control costs without rationing (deliberate withholding of effective care) or payment reductions to doctors and hospitals. Three physician-led strategies comprise this solution: reduce (1) overuse of health services, (2) preventable complications and (3) waste within healthcare processes. These challenges know no borders.

Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government.

Medical imaging is a prime example of an innovation that has brought important advances to medical care while triggering concerns about potential overuse and excessive costs. Many hopes are riding on comparative effectiveness research to help guide better decision making to improve quality and value. But the dynamic nature of medical imaging poses challenges for the traditional paradigms of evidentiary review and analysis at the heart of comparative effectiveness. This paper discusses these challenges and presents policy lessons for manufacturers, evidence reviewers, and decisionmakers, illustrated by an assessment of a prominent emerging imaging technique: computed tomography (CT) colonography.

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