Guidelines for reporting economic evaluations in health care are very welcome. A task force of the International Society for Pharmacoeconomics and Outcomes Research has organized a two-round, modified Delphi Panel process to compile a set of recommendations for reporting Consolidated Health Economic Evaluation Reporting Standards. The result is a 24-item checklist with the friendly acronym CHEERS (1), published in this issue of the International Journal of Technology Assessment in Health Care.

Economic evaluations of health interventions pose a particular challenge for reporting. There is also a need to consolidate and update existing guidelines and promote their use in a user friendly manner. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.

The need for new reporting guidance was identified by a survey of medical editors. A list of possible items based on a systematic review was created. A two round, modified Delphi panel consisting of representatives from academia, clinical practice, industry, government, and the editorial community was conducted. Out of 44 candidate items, 24 items and accompanying recommendations were developed. The recommendations are contained in a user friendly, 24 item checklist. A copy of the statement, accompanying checklist, and this report can be found on the ISPOR Health Economic Evaluations Publication Guidelines Task Force website (www.ispor.org/TaskForces/EconomicPubGuidelines.asp).

We hope CHEERS will lead to better reporting, and ultimately, better health decisions. To facilitate dissemination and uptake, the CHEERS statement is being co-published across 10 health economics and medical journals. We encourage other journals and groups, to endorse CHEERS. The author team plans to review the checklist for an update in five years.

Objectives: The aim of this study was to propose a statistical model that takes into account clinical data on earlier versions when evaluating the latest version of an implantable medical device (IMD).

Methods: We compared the performances of a Bayesian three-level hierarchical meta-analysis model with those of a Bayesian random-effects model through a simulation study. Posterior mean estimates of the success rate for each IMD version were computed as well as the probability that the latest version improved in effectiveness. Models were compared using the Deviance Information Criterion (DIC), the estimated bias and the standard deviation of the mean success rates. Sensitivity analyses to the choice of the priors were performed. These methods were applied to the evaluation of an intracranial stent used to treat wide-necked aneurysms.

Results: When IMD versions did not differ in effectiveness, the best-fitting model was the random-effects model. By contrast, when there was a version effect, the hierarchical model was selected in more than 95 percent of the cases. It provided precise estimations of success rates of each IMD version and allowed detecting an improvement in effectiveness of the latest version, with a low influence of the choice of the priors. No evidence of benefit from the latest version of the intracranial stent was found.

Conclusions: In the setting of IMD assessment, comparison of DIC between the two proposed models appeared useful for detecting version effects. In that case, Bayesian hierarchical meta-analysis model may help the decision maker by providing useful information on the latest version of IMD compared with the previous versions.

Objectives: The aim of this study was to develop a decision support tool to assess the potential benefits and costs of new healthcare interventions.

Methods: The Canadian Partnership Against Cancer (CPAC) commissioned the development of a Cancer Risk Management Model (CRMM)—a computer microsimulation model that simulates individual lives one at a time, from birth to death, taking account of Canadian demographic and labor force characteristics, risk factor exposures, and health histories. Information from all the simulated lives is combined to produce aggregate measures of health outcomes for the population or for particular subpopulations.

Results: The CRMM can project the population health and economic impacts of cancer control programs in Canada and the impacts of major risk factors, cancer prevention, and screening programs and new cancer treatments on population health and costs to the healthcare system. It estimates both the direct costs of medical care, as well as lost earnings and impacts on tax revenues. The lung and colorectal modules are available through the CPAC Web site (www.cancerview.ca/cancerrriskmanagement) to registered users where structured scenarios can be explored for their projected impacts. Advanced users will be able to specify new scenarios or change existing modules by varying input parameters or by accessing open source code. Model development is now being extended to cervical and breast cancers.

Objectives: The aim of the study was to combine clinical results from the European Cohort of the REVERSE study and costs associated with the addition of cardiac resynchronization therapy (CRT) to optimal medical therapy (OMT) in patients with mild symptomatic (NYHA I-II) or asymptomatic left ventricular dysfunction and markers of cardiac dyssynchrony in Spain.

Methods: A Markov model was developed with CRT + OMT (CRT-ON) versus OMT only (CRT-OFF) based on a retrospective cost-effectiveness analysis. Raw data was derived from literature and expert opinion, reflecting clinical and economic consequences of patient's management in Spain. Time horizon was 10 years. Both costs (euro 2010) and effects were discounted at 3 percent per annum.

Results: CRT-ON showed higher total costs than CRT-OFF; however, CRT reduced the length of hospitalization in ICU by 94 percent (0.006 versus 0.091 days) and general ward in by 34 percent (0.705 versus 1.076 days). Surviving CRT-ON patients (88.2 percent versus 77.5 percent) remained in better functional class longer, and they achieved an improvement of 0.9 life years (LYGs) and 0.77 years quality-adjusted life years (QALYs). CRT-ON proved to be cost-effective after 6 years, except for the 7th year due to battery depletion. At 10 years, the results were €18,431 per LYG and €21,500 per QALY gained. Probabilistic sensitivity analysis showed CRT-ON was cost-effective in 75.4 percent of the cases at 10 years.

Conclusions: The use of CRT added to OMT represents an efficient use of resources in patients suffering from heart failure in NYHA functional classes I and II.

Objectives: The aim of this study was to describe the evolution of a cost-utility model used to inform the UK National Institute for Health and Clinical Excellence's (NICE) most recent decisions on the cost-utility of drug treatments for Alzheimer's disease (AD), and to explore the impact of structural assumptions on the cost-utility results.

Methods: Changes informed by noted limitations of the decision model used in NICE's previous decisions (in 2006) were made cumulatively to the original decision model for donepezil compared with best supportive care (for patients with mild to moderate AD). Deterministic and probabilistic analyses were undertaken for each cumulative change of the model. The expected value of perfect information (EVPI) of parameter estimates and structural assumptions was also calculated.

Results: Cumulative changes to the decision model highlighted how the results of the original model (incremental cost-effectiveness ratio of £81,000 per quality-adjusted life-year gained) related to those of the new model (where donepezil was estimated to be cost-saving), mainly due to uncertainty in the incremental cost of donepezil treatment over best supportive care (ranging from -£600 to £3,000 per patient). The partial EVPI analysis reflected this finding where further information on treatment discontinuations and cost parameter estimates were shown to be valuable in terms of reducing decision uncertainty.

Conclusions: Assessing the evolution of the cost-utility model helped to identify and explore structural differences between cohort-based models and is likely to be useful for decision models in other disease areas. This approach makes the structural uncertainty explicit, forcing decision makers to address structural uncertainty in addition to parameter uncertainty.

Objectives: There have been very few assessments of the economics of home telemonitoring, and the quality of evidence has often been weakened by methodological flaws. This has made it difficult to compare telehomecare with traditional home care for the chronic diseases studied. This economic analysis is an attempt to address this gap in the literature.

Methods: We have analyzed the consumption of healthcare services by 95 patients with various chronic diseases over a 21-month period, that is, 12 months before, 4 months during home telemonitoring use, and over 5 months after withdraw of the technology.

Results: Our findings indicate significant benefits to the home telemonitoring program as evidenced by large reductions in number of hospitalizations, length of average hospital stay, and, to a lesser extent, number of emergency room visits. Contrary to expectations, however, the number of home visits by nurses increased both during and after the telemonitoring intervention. In terms of the financial analysis, the telehomecare program resulted in significant savings: the equivalent of over CAD1,557 per patient as calculated on an annualized basis. This represents a net gain of 41 percent as compared to traditional home care.

Conclusions: While the present economic analysis led to positive results, additional assessments should be conducted to confirm the cost-effectiveness of this mode of care delivery.

Background: Digital media can be integrated in tele-monitoring solutions, serving as the main interface between the patient and the caregiver. Consequently, the selection of the most appropriate digital medium for the specified target group is critical to ensure compliance with the tele-monitoring system.

Objectives: This pilot study aims to gather insights from patients with chronic obstructive pulmonary disease (COPD) on the ease-of-use, efficacy, effectiveness, and satisfaction of different types of digital media.

Methods: Five off-the-shelf digital media devices were tested on nine patients at CIRO+ in Horn, The Netherlands. Usability was evaluated by asking patients to use each device to answer questions related to their symptoms and health status. Subsequently, patients completed a paper-based device usability questionnaire, which assessed prior experience with digital media, device dimensions, device controllability, response speed, screen readability, ease-of-use, and overall satisfaction. After testing all the devices, patients ranked the devices according to their preference.

Results: We identified the netbook as the preferred type of device due to its good controllability, fast response time, and large screen size. The smartphone was the least favorite device as patients found the size of the screen to be too small, which made it difficult to interact with.

Conclusion: The pilot study has provided important insights to guide the selection of the most appropriate type of digital medium for implementation in tele-monitoring solutions for patients with COPD. As the digital medium is an important interface to the patient in tele-monitoring solutions, it is essential that patients feel motivated to interact with the digital medium on a regular basis.

Objectives: The aim of this study was to implement a set of indicators to assess the quality of care of a new healthcare model for prevention of colorectal cancer in a high-risk population.

Methods: Information was obtained retrospectively from electronic clinical records, review of documentation, and a survey. The high-risk clinic for colorectal cancer was created in Barcelona (Spain) in 2006. All users at greater risk of colorectal cancer assessed through the new healthcare model were included. Twenty-one indicators were computed using defined formulas and standards. Logistic regression models were computed to analyze factors related to adherence to the screening and surveillance prevention strategies.

Results: A total of 1,275 users were included. Eight of seventeen indicators reached the quality standard (80 percent structure, 50 percent process, and 17 percent outcome), whereas four indicators did not have a previously defined standard. The overall adherence to the screening and surveillance program was 67 percent. Users aged 59 and older had almost two times greater probabiblity (95 percent confidence interval [CI], 1.3–3.1) of adherence than younger users; users with surveillance colonoscopies presented a 7.4 times (95 percent CI, 4.6–11.7) greater probability of adherence than those with screening colonoscopies.

Conclusions: The indicators have been shown to be feasible and valid tools to identify areas of improvement in this new model, such as information systems, continuity of care, and communication among professionals. Because this was the first time these indicators were applied to assess the high-risk clinic for colorectal cancer, further implementation is required to improve the interpretability of results.

Objective: Technological change accounts for approximately 25 percent of health expenditure growth. To date, limited research has been published on case studies of disinvestment and resource allocation decision making in clinical practice. Our research objective is to systematically review and catalogue the application of frameworks and tools for disinvestment and resource allocation decision making in health care.

Methods: An electronic literature search was executed for studies on disinvestment, obsolete and ineffective technologies, and priority healthcare setting, published from January 1990 until January 2012. Databases searched were MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations, Embase, The Cochrane Library, PubMed, and HEED.

Results: Fourteen case studies on the application of frameworks and tools for disinvestment and resource allocation decisions were included. Most studies described the application of program budgeting and marginal analysis (PBMA), and two reports used health technology assessment (HTA) methods for coverage decisions in a national fee-for-service structure. Numerous healthcare technologies and services were covered across the studies. We describe the multiple criteria considered for decision making, and the strengths and limitations of these frameworks and tools are highlighted.

Conclusions: Disinvestment and resource allocation decisions require evidence to ensure their transparency and objectivity. PBMA was used to assess resource allocation of health services and technologies in a fixed budget jurisdiction, while HTA reviews focused on specific technologies, principally in fee-for-service structures. Future research can review the data requirements and explore opportunities to increase the quantity of available evidence for disinvestment and resource allocation decisions.

Objectives: Several models of hospital-based health technology assessment (HTA) have been developed worldwide, for the introduction of innovative medical devices and support evidence-based decision making in hospitals. Two such models, the HTA unit and mini-HTA models, are widespread in university hospitals and involve various stakeholders. The purpose of this work was to highlight the potential role of hospital pharmacists in hospital-based HTA activities.

Methods: We searched for articles, reviews, and letters relating to hospital-based HTA, as defined by the Hospital-Based Health Technology Assessment Worldwide Surveypublished by the Health Technology Assessment International (HTAi) Society, in the Health Technology Assessment database, MEDLINE, EMBASE, and hospital pharmacyjournals.

Results: The number of university hospitals performing hospital-based HTA has increased since the 2008 Hospital-Based Health Technology Assessment Worldwide Survey. Our own experience and international findings show that hospital pharmacists already contribute to hospital-based HTA activities and have developed study interpretation skills and a knowledge of medical devices.

Conclusions: Promoting multidisciplinary approaches is one of the key success factors in hospital-based HTA. Hospital pharmacists occupy a position between hospital managers, clinicians, health economists, biomedical engineers, and patients and can provide a new perspective. In the future, hospital pharmacists are likely to become increasingly involved in hospital-based HTA activities.

Objectives: This study presents findings from a study that explores the merits of different methods for assessing the international use of UK funded research by the National Institute of Health Research Health Technology Assessment (NIHR HTA) Programme.

Methods: The study adopted an exploratory approach and used three core methods: (i) Academic use was explored through bibliometric and citation analysis of the top ten most cited health technology assessment (HTA) reports. (ii) Internet use was assessed using Webtrends software to identify the proportion of international visits of the top ten most downloaded HTA reports from January 1, 2004 to June 30, 2010. (iii) International HTA use was assessed by searching the Center for Reviews and Dissemination (CRD) HTA database to explore the citation of NIHR HTA reports in reports by non-UK HTA agencies.

Results: Bibliometric analysis identified published output and international citations with 41 percent of the 549 journals citing NIHR HTA reports being based in the United States. Nine of ten most downloaded reports from the NIHR HTA Web site (www.hta.ac.uk) had in excess of 50 percent of visits outside the United Kingdom. Four of five selected NIHR HTA reports were cited in twenty-eight other HTA reports, eighteen of these outside the United Kingdom.

Conclusions: Assessing international use is important when exploring the uptake of research evidence. Methods used in identifying research impact, such as bibliometrics and Webtrends, are helpful in generating evidence of international use. HTA agencies should consider these techniques and international use when assessing the uptake of findings from research they undertake and/or commission.

Introduction: The translation of best evidence into practice has become an important purpose of policy making in health care. In Brazil, a country of continental dimensions with widespread regional and social inequalities, the dissemination and use of the best-evidence in policy making is a critical issue for the healthcare system.

Objectives: The main purpose of this study is to describe an evidence-based public health policy with special emphasis on guidelines creation for high-cost medicines. We also describe how that strategy was diffused to the judiciary system and to other parts of the healthcare system.

Results: We present an 11-year follow-up of a national project for creating and updating guidelines for high-cost medicines in Brazil. A total of 109 national guidelines were published (new or updated versions) for 66 selected diseases, the first such effort in Brazilian history. The project influenced the Brazilian legislature, which has recently established a Federal Law requiring national guidelines for any new technology listed for payment by the Brazilian public healthcare system.

Conclusion: We were able to involve many different stakeholders in a partnership between academia and policy makers, which made possible the widespread dissemination of the clinical practice guidelines. Problems and constraints were also encountered. This evolving public health strategy might be useful for other developing countries.

Objective: This study describes the process of production, findings for a policy brief on Increasing Access to Skilled Birth Attendance, and subsequent use of the report by policy makers and others from the health sector in Uganda.

Methods: The methods used to prepare the policy brief use the SUPPORT Tools for evidence-informed health policy making. The problem that this evidence brief addresses was identified through an explicit priority setting process involving policy makers and other stakeholders, further clarification with key informant interviews of relevant policy makers, and review of relevant documents. A working group of national stakeholder representatives and external reviewers commented on and contributed to successive drafts of the report. Research describing the problem, policy options, and implementation considerations was identified by reviewing government documents, routinely collected data, electronic literature searches, contact with key informants, and reviewing the reference lists of relevant documents that were retrieved.

Results: The proportion of pregnant women delivering from public and private non-profit facilities was low at 34 percent in 2008/09. The three policy options discussed in the report could be adopted independently or complementary to the other to increase access to skilled care. The Ministry of Health in deliberating to provide intrapartum care at first level health facilities from the second level of care, requested for research evidence to support these decisions. Maternal waiting shelters and working with the private-for-profit sector to facilitate deliveries in health facilities are promising complementary interventions that have been piloted in both the public and private health sector. A combination of strategies is needed to effectively implement the proposed options as discussed further in this article.

Conclusions: The policy brief report was used as a background document for two stakeholder dialogue meetings involving members of parliament, policy makers, health managers, researchers, civil society, professional organizations, and the media.

Objective: The aim of this study was to investigate malaria elimination in Ethiopia. Ethiopia has planned to eliminate malaria by 2015 in areas of unstable malaria transmission and in the entire country by 2020. However, there is a shortage and maldistribution of the health workforce in general and malaria experts in particular. Training, motivating, and retaining the health workforce involved in malaria control is one strategy to address the shortage and maldistribution of the health workforce to achieve the goal of elimination.

Methods: Policy options include the following: (i) in-service training (educational outreach visits, continuing education meetings and workshops, audit and feedback, tailored interventions, and guideline dissemination) may improve professional practice; (ii) recruiting and training malaria specialists together with academic support, career guidance, and social support may increase the number of malaria experts; and (iii) motivation and retention packages (such as financial, educational, personal, and professional support incentives) may help motivate and retain malaria professionals.

Results: Implementation strategies include the following: (i) massive training of health personnel involved in malaria elimination and malaria experts (requiring special training) at different levels (national, sub-national, District & community levels), and (ii) recruiting highly qualified health personnel and retention and motivation mechanisms are needed.

Conclusions: The lack of adequately trained human resources and personnel attrition are major challenges to effectively implement the planned multi-faceted malaria elimination by 2020 strategy in Ethiopia. Although a reduction in malaria incidence has been observed in the last 3-4 years, maintaining this success and achieving the malaria elimination goal with the present human resource profile will be impossible. A clear strategy for developing the capacity of the health workers in general, and malaria experts in particular, and retaining and motivating staff are crucial for malaria control and elimination.