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Outcomes following injury in a predominantly rural-population-based trauma center.

OBJECTIVE: To determine the incidence, severity, and outcomes of injury in patients treated in a rural-based level I trauma center and to compare the outcomes with a nationally indexed patient population--the Major Trauma Outcome Study. DESIGN: Retrospective evaluation of trauma registry data. SETTING: State of Illinois designated level I trauma center located in Urbana. PATIENTS: A total of 2246 trauma patients admitted from August 1989 through August 1992, with a mortality cohort of 158 patients. There were 1735 patients (77%) with Injury Severity Scores less than or equal to 19 and 511 patients (23%) with more severe injuries (Injury Severity Scores > or = 20). MAIN OUTCOME MEASURES: Mortality rates using the TRISS method, the Major Trauma Outcome Study, and final patient dispositions. RESULTS: The overall mortality rate, excluding those patients who were pronounced dead on arrival, was 125/2213 (5.6%). Eighty-six (69%) of these 125 patients had neurological Abbreviated Injury Scores of 3 or greater, with neurotrauma being a major contributor to their deaths. The m-statistic was 0.99 and the z-statistic was -3.30 for the entire group. The observed probability of survival met or exceeded the expected probability of survival when compared with the Major Trauma Outcome Study in all categories. CONCLUSION: Acceptable mortality rates compared with the Major Trauma Outcome Study can be achieved in a rural-community-based level I trauma center despite relatively small numbers of critically injured patients. Such outcomes may assist in justifying resource allocation for trauma centers in rural areas.

Abbreviated Injury Scale↗

Multilevel care. A Veterans Administration initiative in health care cost control.

The Veterans Administration's (VA) Department of Medicine and Surgery, the largest of the civilian federal health care systems, is under continuous White House, congressional, and public pressure to provide greater accountability and increased cost-effectiveness for its $5 billion-plus annual budget. Responding to these pressures, the VA is evaluating in ten of its 172 medical centers a new system of resource allocation and financial management known as a multilevel care system. This is a major VA intiative with highly important implications for both the VA and the private health care sector.

Cost-Benefit Analysis↗

Authorship: the coin of the realm, the source of complaints.

CONTEXT: Disputes associated with achieving recognition for work done may affect both morale and subsequent resource allocation to medical researchers. OBJECTIVE: To assess authorship disputes brought to the Ombuds Office. SETTING: The Ombuds Office, Harvard Medical School, Dental School, School of Public Health, and affiliated hospitals. MAIN OUTCOME MEASURE: Change in number of queries related to authorship between 1991 to 1992 and 1996 to 1997. RESULTS: Disputes increased from 8 (2.3%) of 355 issues brought to the office in 1991 to 1992 to 59 (10.7%) of 551 issues in 1996 to 1997. They also increased from involving 0.06% of the total population of faculty, staff, and students affiliated with the schools in 1991 to 1992 to 0.33% of the total population in 1996 to 1997. Such problems appear to occur more often for women (53% of complaints in 1994-1995 through 1996-1997) and for non-US citizens (21 % of complaints in 1991-1992 through 1996-1997). CONCLUSIONS: Authorship disputes are increasingly frequent. Institutions should increase enforcement of published authorship standards and place more emphasis on managerial skills for laboratory and research department heads.

Authorship↗

Evaluating the BMJ guidelines for economic submissions: prospective audit of economic submissions to BMJ and The Lancet.

CONTEXT: Editorial management of articles on health economics may benefit from guidelines for peer review and revision. OBJECTIVE: To assess whether publication (in August 1996) of the BMJ guidelines on peer review of economics submissions made any difference to editorial and peer review processes, quality of submitted manuscripts, and quality of published manuscripts. DESIGN AND SETTING: Before-after study conducted in the editorial offices of BMJ and The Lancet of the effect of the BMJ guidelines on review and revision of economics submissions, defined as those making explicit comments about resource allocation and/or costs of interventions. MAIN OUTCOME MEASURES: Editorial fate and changes in the quality of submissions. RESULTS: A total of 2982 manuscripts were submitted to the 2 journals during the before periods, 105 (3.5%) of which were economics submissions. Of these, 27 (24.3%) were full economics evaluations, and 78 (75.7%) were other economics submissions. Overall acceptance rate was 11.6% (12/105). During the after period 2077 manuscripts were submitted to the 2 journals, 87 (4.2%) of which were economics submissions. Eighteen (20.7%) were full economics evaluations, and 69 (79.3%) were other economics submissions. Overall acceptance rate was 6.9% (6/87). Although a number of manuscripts could not be traced to determine whether they were economics submissions, there appeared to be little difference between the 2 journals in numbers or editorial fate of the manuscripts. There was no change in the quality of submitted manuscripts, but BMJ editors found the guidelines and checklists useful and sent fewer economics submissions for external peer review in the after phase. CONCLUSIONS: Publication of the guidelines helped the BMJ editors improve the efficiency of the editorial process but had no impact on the quality of economics evaluations submitted or published.

Economics↗

Public health law in a new century: part II: public health powers and limits.

The Constitution allocates public health powers among the federal government and the states. Federal public health powers include the authority to tax, spend, and regulate interstate commerce. These powers enable the federal government to raise revenues, allocate resources, economically penalize risk behavior, and broadly regulate in the public's interest. States have an inherent authority to protect, preserve, and promote the health, safety, morals, and general welfare of the people, termed police powers. Police powers enable states to preserve the public health in areas ranging from injury and disease prevention to sanitation, waste disposal, and environmental protection. The Rehnquist Court has emphasized the limits of federal powers and the primacy of states in public health issues affecting local concerns. Finally, the Constitution safeguards individual interests in autonomy, privacy, liberty, and property. The Supreme Court often defers to public health authorities in matters of public health, but engages in strict scrutiny if government interferes with fundamental freedoms or discriminates against a suspect class. Provided that they act justly and reasonably to avert a serious health threat, the Court should cede to agencies the power to act for the communal good. JAMA. 2000.

Contracts↗

Evaluation: methods and strategy for evaluation--Massachusetts.

Various challenges exist when evaluating statewide, community-based public health initiatives and these need to be addressed by tobacco control programs. There are factors inherent in public health initiatives that can make it difficult to assess causality and effectiveness. These include initial design elements, funding mandates, duration of program and resources allocated for evaluation. In addition, outside efforts to undermine the initiative also must be taken into consideration, when evaluating effectiveness. This article focuses on these and other challenges encountered by the Massachusetts Tobacco Control Program and presents information on the state specific tobacco surveys conducted for the Program.

Data Collection↗

Modelling for cost-effectiveness analysis.

A model creates the framework for a cost-effectiveness analysis, allowing decision makers to explore the implications of using an intervention in different ways and under different conditions. To serve its purpose a model must produce accurate predictions and allow for substantial variation in the factors that influence costs and effects. This paper considers three aspects of modelling: validating effectiveness estimates; modelling costs; and the implications of common statistical forms. Validation procedures similar to those for effectiveness estimates are proposed for costs. Modellers need to pay more attention to ensuring that the pathway of events described by a model represents costs as well as it does effects. Modellers can also help improve the epidemiological and clinical research on which cost-effectiveness analyses depend by showing the implications for resource allocation of the statistical forms conventionally used in these fields.

Breast Neoplasms↗

The relationship between health expenditures and the age structure of the population in OECD countries.

The purpose of this study was to analyse national health expenditures of OECD countries relative to their age structures. Using econometric techniques designed to analyse cross-sectional time series data, the ageing of the population was found to affect health spending in several countries while having no effect in others. In addition, the effect of income on health spending was lower than that generally reported in the literature. These findings suggest that unobserved country-specific factors play a major role in determining the amount of resources allocated to health services in a country. Such factors also determine if the ageing of the population with increased health spending.

Age Factors↗

The productivity of mental health care: an instrumental variable approach.

BACKGROUND: Like many other medical technologies and treatments, there is a lack of reliable evidence on treatment effectiveness of mental health care. Increasingly, data from non-experimental settings are being used to study the effect of treatment. However, as in a number of studies using non-experimental data, a simple regression of outcome on treatment shows a puzzling negative and significant impact of mental health care on the improvement of mental health status, even after including a large number of potential control variables. The central problem in interpreting evidence from real-world or non-experimental settings is, therefore, the potential "selection bias" problem in observational data set. In other words, the choice/quantity of mental health care may be correlated with other variables, particularly unobserved variables, that influence outcome and this may lead to a bias in the estimate of the effect of care in conventional models. AIMS OF THE STUDY: This paper addresses the issue of estimating treatment effects using an observational data set. The information in a mental health data set obtained from two waves of data in Puerto Rico is explored. The results using conventional models - in which the potential selection bias is not controlled - and that from instrumental variable (IV) models - which is what was proposed in this study to correct for the contaminated estimation from conventional models - are compared. METHODS: Treatment effectiveness is estimated in a production function framework. Effectiveness is measured as the improvement in mental health status. To control for the potential selection bias problem, IV approaches are employed. The essence of the IV method is to use one or more instruments, which are observable factors that influence treatment but do not directly affect patient outcomes, to isolate the effect of treatment variation that is independent of unobserved patient characteristics. The data used in this study are the first (1992-1993) and second (1993-1994) wave of the ongoing longitudinal study Mental Health Care Utilization Among Puerto Ricans, which includes information for an island-wide probability sample of over 3000 adults living in poor areas of Puerto Rico. The instrumental variables employed in this study are travel distance and health insurance sources. RESULTS: It is very noticeable that in this study, treatment effects were found to be negative in all conventional models (in some cases, highly significant). However, after the IV method was applied, the estimated marginal effects of treatment became positive. Sensitivity analysis partly supports this conclusion. According to the IV estimation results, treatment is productive for the group in most need of mental health care. However, estimations do not find strong enough evidence to demonstrate treatment effects on other groups with less or no need. The results in this paper also suggest an important impact of the following factors on the probability of improvement in mental health status: baseline mental health status, previous treatment, sex, marital status and education. DISCUSSION: The IV approach provides a practical way to reduce the selection bias due to the confounding of treatment with unmeasured variables. The limitation of this study is that the instruments explored did not perform well enough in some IV equations, therefore the predictive power remains questionable. The most challenging part of applying the IV approach is on finding "good" instruments which influence the choice/quantity of treatment yet do not introduce further bias by being directly correlated with treatment outcome. CONCLUSIONS: The results in this paper are supportive of the concerns on the credibility of evaluation results using observation data set when the endogeneity of the treatment variable is not controlled. Unobserved factors contribute to the downward bias in the conventional models. The IV approach is shown to be an appropriate method to reduce the selection bias for the group in most need for mental health care, which is also the group of most policy and treatment concern. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The results of this work have implications for resource allocation in mental health care. Evidence is found that mental health care provided in Puerto Rico is productive, and is most helpful for persons in most need for mental health care. According to what estimated from the IV models, on the margin, receiving formal mental health care significantly increases the probability of obtaining a better mental health outcome by 19.2%, and one unit increase in formal treatment increased the probability of becoming healthier by 6.2% to 8.4%. Consistent with other mental health literature, an individual's baseline mental health status is found to be significantly related to the probability of improvement in mental health status: individuals with previous treatment history are less likely to improve. Among demographic factors included in the production function, being female, married, and high education were found to contribute to a higher probability of improvement. IMPLICATION FOR FURTHER RESEARCH: In order to provide accurate evidence of treatment effectiveness of medical technologies to support decision making, it is important that the selection bias be controlled as rigorously as possible when using information from a non-experimental setting. More data and a longer panel are also needed to provide more valid evidence. tion.

Journal Article↗

Measuring costs of guideline-driven mental health care: the Texas Medication Algorithm Project.

BACKGROUND: Algorithms describe clinical choices to treat a specific disorder. To many, algorithms serve as important tools helping practitioners make informed choices about how best to treat patients, achieving better outcomes more quickly and at a lower cost. Appearing as flow charts and decision trees, algorithms are developed during consensus conferences by leading experts who explore the latest scientific evidence to describe optimal treatment for each disorder. Despite a focus on "optimal" care, there has been little discussion in the literature concerning how costs should be defined and measured in the context of algorithm-based practices. AIMS OF THE STUDY: This paper describes the strategy to measure costs for the Texas Medication Algorithm project, or TMAP. Launched by the Texas Department of Mental Health and Mental Retardation and the University of Texas Southwestern Medical Center at Dallas, this multi-site study investigates outcomes and costs of medication algorithms for bipolar disorder, schizophrenia and depression. METHODS: To balance costs with outcomes, we turned to cost-effectiveness analyses as a framework to define and measure costs. Alternative strategies (cost-benefit, cost-utility, cost-of-illness) were inappropriate since algorithms are not intended to guide resource allocation across different diseases or between health- and non-health-related commodities. "Costs" are operationalized consistent with the framework presented by the United States Public Health Service Panel on Cost Effectiveness in Medicine. Patient specific costs are calculated by multiplying patient units of use by a unit cost, and summing over all service categories. Outpatient services are counted by procedures. Inpatient services are counted by days classified into diagnosis groups. Utilization information is derived from patient self-reports, medical charts and administrative file sources. Unit costs are computed by payer source. Finally, hierarchical modeling is used to describe how costs and effectiveness differ between algorithm-based and treatment-as-usual practices. DISCUSSION: Cost estimates of algorithm-based practices should (i) measure opportunity costs, (ii) employ structured data collection methods, (iii) profile patient use of both mental health and general medical providers and (iv) reflect costs by payer status in different economic environments. IMPLICATION FOR HEALTH CARE PROVISION AND USE: Algorithms may help guide clinicians, their patients and third party payers to rely on the latest scientific evidence to make treatment choices that balance costs with outcomes. IMPLICATION FOR HEALTH POLICIES: Planners should consider consumer wants and economic costs when developing and testing new clinical algorithms. IMPLICATIONS FOR FURTHER RESEARCH: Future studies may wish to consider similar methods to estimate costs in evaluating algorithm-based practices.

Journal Article↗

Economic evaluation and mental health: sparse past. fertile future?

BACKGROUND: Demands for economic inputs to mental health policy-making, practice decisions and research evaluations have grown considerably in recent years, but the overall supply response has been modest and uneven. AIMS: This paper examines the key historical phases in the development of mental health economics research, and what they imply for the way economics is received and employed. Focusing on the quest for cost-effectiveness, the paper considers challenges for mental health economics. METHODS: An informal review of the growing demand for mental health economics (and how that demand has been expressed), and how economists have responded. RESULTS: Five historical development phases characterize this growth. Initially, the dominant feature is innocence or neglect of scarcity. Cost measures are rarely calculated, cost-effectiveness is not part of the decision-making lexicon and the potential for inefficiency is huge. In the second phase, innocence turns to criticism of attempts to introduce resource rationality, and many clinicians actively reject economics. Health is seen as priceless, and not to be compromised by the pursuit of efficiency. After a period of reluctance there follows impetuosity as the need for economic insights is recognized, but the search for data is desperate and undiscriminating. Poor quality research is conducted, with the risk that decisions are misinformed and perhaps damaging. Once again, resources are inappropriately used. Next follows the constructive development phase: previous mistakes are appreciated and the standards of evaluation improve markedly. Studies are better designed, more likely to be integrated into clinical or policy evaluations, carefully conducted and sensibly interpreted. Inefficiency should be reduced, along with inequity. Finally, there is perhaps a nirvana-like fifth phase in which sophisticated economic studies are widely undertaken, where systematic reviews and meta-analyses help to reveal the wider picture and where findings are readily available to clinicians, managers and providers. Whether such a stage is attainable is open to question. DISCUSSION: Although the number and sophistication of economic evaluations have both increased noticeably over recent years, there remain imbalances. There is little economics evidence on care arrangements or treatments for dementia, most of the neuroses and the disorders of childhood and adolescence. There are many fewer good evaluations of psychological interventions than of drug treatments. Geographically, few economic evaluations are conducted outside Western Europe, North America or Australasia. IMPLICATIONS FOR DECISION-MAKERS AND RESEARCH: Many challenges consequently face the next generation of mental health economics evaluations, both for research economists and for those health care decision-makers who find themselves increasingly having to draw on economics evidence. One challenge is to be fully aware that the information that economists can currently offer may fall short of what decision-makers need. The gap between the two must be fully appreciated. Building more comprehensive pictures of the cost and outcome consequences of different care policies and treatment interventions is one way to bridge this gap. At the same time a sense of perspective must be maintained and promoted. For example, there is growing concern across the world about the high prices of new drugs, yet drug acquisition costs usually represent only a small proportion of total costs. Decisions sometimes appear to be disproportionately focused on small parts of the overall mental health care picture. A similar tendency prompts another challenge, which is to undertake and interpret research so as to overcome, or at least not to exacerbate, the boundary problems that characterize the multi-service, multi-agency reality of many mental health care systems. The adequacy of short-term evaluations - which dominate our field - must be questioned in light of the chronicity of many mental health problems, and of their externality effects (including inter-generational transmission of problems). Although funding will always be a problem, longer-term evidence is needed. So, too, is research that looks at the reasons for inter-individual cost and outcome variations. Economic evaluations should also pay more attention to equity as well as efficiency as a criterion of improved resource allocation. Finally, more economic data should be gathered alongside and not after clinical data, particularly as economic assumptions often appear to drive key practice and policy changes.

Journal Article↗

Cost-effectiveness of new treatments for overactive bladder: the example of tolterodine, a new muscarinic agent: a Markov model.

Economic analyses of interventions for chronic diseases require evaluations over a long timeframe to illustrate the benefits and costs of treatments. Clinical trials are generally short and carried out in strictly controlled conditions. They are therefore of limited value for economic evaluation aimed at facilitating decisions about resource allocation. The objective of this study was to develop a simulation model that allows integration of data from different sources to calculate the incremental cost-effectiveness and cost-utility of new treatments for overactive bladder. The model compares tolterodine, a new treatment that aims at alleviating symptoms and improving patients' quality of life, to no treatment. Simulations for Sweden are presented as an example. The Markov model combines clinical, observational, and economic data. Markov states are defined based on severity of symptoms of overactive bladder (frequency of voids and leaks). Specific costs for drug treatment and use of sanitary protections as well as utilities are assigned for each state. The effectiveness of tolterodine is based on controlled clinical trials and open long-term extensions of these trials. Outcome is measured as quality-adjusted life years (QALYs) and as the number of months spent in a state with no or very limited symptoms. During the course of 1 year, patients treated with tolterodine spend more time in states with no or limited symptoms compared to those receiving no treatment. Tolterodine-treated patients having a better quality of life during the year. The mean utility of the treated cohort is 0.70, compared to 0.67 in the no-treatment cohort, which is equivalent to the entire cohort moving by one level to a state with less severe symptoms. Mean total costs per patient in the tolterodine arm are SEK8,595 (US $1,131; 1 US$ = 7.6 SEK) compared to SEK3,286 (US$432) in the no-treatment arm. The extra cost due to tolterodine is SEK380 (US$50) per month, which falls within the range of monthly amounts that patients were willing to pay out of pocket for a 25 or 50% improvement of their symptoms in a previous study. The cost for pads is reduced by 23%. The marginal cost per QALY gained with tolterodine is estimated at SEK213,000 (US$28,000). Based on this simulation model, it appears that treatment of overactive bladder with a well-tolerated pharmacological treatment such as tolterodine is cost-effective.

Benzhydryl Compounds↗

Economic evaluation of communicable disease interventions in developing countries: a critical review of the published literature.

Limited health care budgets have emphasized the need for providers to use resources efficiently. Accordingly, there has been a rapid increase in the number of economic evaluations of communicable disease health programmes in developing countries, as there is a need to implement evidence-based policy decisions. However, given the prohibitive cost of many economic evaluations in low-income countries, interest has also been generated in pooling data and results of previously published studies. Yet, our review demonstrated that very few published economic evaluations have been performed during 1984-1997 (n=107). Certain diseases and geographical areas have also been neglected. Of those studies published, appropriate analytic techniques have been inconsistently applied. In particular, there are four immediate concerns: the narrow perspective taken-dominance of the health care provider viewpoint and reliance on intermediate outcomes measures; bias-some costs were excluded from estimates; the lack of transparency-sources of data not identified; and the absence of a critical examination of findings-many papers failed to perform a sensitivity analysis. The usefulness of previously published economic evaluations to help make resource allocation choices on an individual basis and, therefore, for the purpose of international comparisons, pooling or meta-analysis, has to be questioned in light of the results from this study.

Bias↗

Percutaneous transluminal coronary angioplasty with stents versus coronary artery bypass grafting for people with stable angina or acute coronary syndromes.

BACKGROUND: Coronary artery bypass graft surgery (CABG) replaces obstructed vessels with ones from other parts of the body. Alternatively, obstructions are remodelled using catheter-based techniques such as percutaneous coronary angioplasty with the use of stents. Though less invasive, stenting techniques are limited by the re-narrowing of treated vessels (restenosis). We examined evidence on cardiac-related outcomes occurring after CABG or stenting, with implications for resource use, resource allocation and informing patient choice. OBJECTIVES: To examine evidence from randomised controlled trials (RCTs) on benefit of stents or CABG in reducing cardiac events in people with stable angina or acute coronary syndrome (ACS). SEARCH STRATEGY: CENTRAL (Issue 2 2004), EMBASE (1990 to 2004), MEDLINE (1990 to 2004) and handsearching to July 2004. SELECTION CRITERIA: Only RCTs comparing stents used with PTCA with CABG were included. Participants were adults with stable angina or ACS and unstable angina and had either single or multiple vessel disease. Published and unpublished sources were considered. DATA COLLECTION AND ANALYSIS: Outcomes included composite event rate (major adverse cardiac event, event free survival), death, acute myocardial infarction (AMI), repeat revascularisation and binary restenosis as well as information on design and baseline characteristics. Quality assessment was completed independently. Meta-analyses are presented as odds ratios, 95% confidence intervals (CI) using a fixed-effect model. Heterogeneity between trials was assessed. MAIN RESULTS: Nine studies (3519 patients) were included. Four RCTs included patients with multiple vessel disease, five focused on single vessel disease. Four studies reported beyond 1 year. No statistical differences were observed between CABG and stenting for meta-analysis of mortality or AMI, but there was heterogeneity. Composite cardiac event and revascularisation rates were lower for CABG than for stents. Odds ratios resulting from meta-analysis of event rate data at 1 year were, odds ratio 0.43 (95% CI 0.35 to 0.54) and at 3 years, odds ratio 0.37 (95% CI 0.29 to 0.48). Odds ratios for revascularisation at 1 year were, odds ratio 0.18 (95% CI 0.13 to 0.25) and at 3 years, odds ratio 0.09 (95% CI 0.02 to 0.34). Binary restenosis at 6 months (single vessel trials) favoured CABG, odds ratio 0.29 (95% CI 0.17 to 0.51). AUTHORS' CONCLUSIONS: CABG is associated with reduced rates of major adverse cardiac events, mostly driven by reduced repeat revascularisation. However, the RCT data are limited by follow-up, unrepresentative samples and rapid development of both surgical techniques and stenting. Research on real-world patient population or patient level data meta-analyses may identify risk factors and groupings who may benefit most from one strategy over the other.

Angina Pectoris↗

Life history and the early origins of health differentials.

Current epidemiologic models concerning the fetal origins of later health risk are evaluated from the perspectives of evolutionary and developmental biology. Claims of adaptive value for and biological status of fetal programming are critically examined. Life history theory is applied to identify key trade-offs in adaptive strategies that constrain developmental design to use information from the environment to guide ontogeny and establish cost-benefit trade-offs that weigh early survival advantage against remote or unlikely future costs. Expectable environments of evolutionary adaptedness, particularly of gestation, are characterized and their impact on human adaptive design discussed. The roles of neuroendocrine mechanisms in scaffolding life course development, negotiating ongoing cost-benefit trade-offs, and mediating their long-term impacts on function and health are reviewed in detail. Overviews of gestational biology and the postnatal physiologic, cognitive-affective, and behavioral effects of gestational stress identify a shared central role for the hypothalamic-pituitary-adrenal (HPA) axis. Rather than merely mediating stress responses, the axis emerges an agent of resource allocation that draws a common thread among conditions of gestation, postnatal environments, and functional and health-related outcomes. The preponderance of evolutionary and developmental analysis identifies environments as agents on both sides of the health risk equation, by influencing vulnerabilities and capacities established in early and later life course development, and determining exposures and demands encountered over the life course.

Adaptation, Physiological↗

Survey of environmental enhancement programs for laboratory primates.

Animal welfare regulations in the United States require that nonhuman primate environmental enhancement plans be made in accordance with currently accepted professional standards; however, little information is available for quantifying common practice. Here we report the results of a 2003 survey that was sent to individuals overseeing enrichment programs at a variety of primate research institutions. The surveys requested information on program administration and management, implementation standards, procedures, and constraints pertaining to major categories of environmental enrichment, as well as intervention plans for animals exhibiting behavioral pathologies. Data were obtained on the management of 35,863 primates in 22 facilities. Behavioral scientists performed program oversight at the majority of facilities. Most programs reported recent changes, most commonly due to external site visits, and least commonly resulting from internal review. Most facilities' institutional animal care and use committees (IACUCs) included of individuals with behavioral expertise, and about two-thirds reported that enrichment issues could influence research protocol design. While most primates were reported to be housed socially (73%), social housing for indoor-housed primates appears to have changed little over the past 10 years. Research protocol issues and social incompatibility were commonly cited constraints. Implementation of feeding, manipulanda, and structural enrichment was relatively unconstrained, and contributions to these aspects of behavioral management generally included individuals in a wide variety of positions within a facility. In contrast, enrichment devices were used on a less widespread basis within facilities, and positive reinforcement programs that involved dedicated trainers were rare. We suggest that altering the role of the IACUC would be a productive avenue for increasing the implementation of social housing, and that an emphasis on prevention rather than intervention against behavioral pathology is warranted. The data from this survey may be useful for anticipating future program evaluations, establishing more effective internal evaluations, and assessing program progress and resource allocation.

Animal Welfare↗

Gene expression profiling of Arabidopsis thaliana in compatible plant-aphid interactions.

Phloem feeding involves unique biological interactions between the herbivore and its host plant. The economic importance of aphids, whiteflies, and other phloem-feeding insects as pests has prompted research to isolate sources of resistance to piercing-sucking insects in crops. However, little information exists about the molecular nature of plant sensitivity to phloem feeding. Recent discoveries involving elicitation by plant pathogens and chewing insects and limited studies on phloem feeders suggest that aphids are capable of inducing responses in plants broadly similar to those associated with pathogen infection and wounding. Our past work showed that compatible aphid feeding on leaves of Arabidopsis thaliana induces localized changes in levels of transcripts of genes that are also associated with infection, mechanical damage, chewing herbivory, or resource allocation shifts. We used microarray and macroarray gene expression analyses of infested plants to better define the response profile of A. thaliana to M. persicae feeding. The results suggest that genes involved in oxidative stress, calcium-dependent signaling, pathogenesis-related responses, and signaling are key components of this profile in plants infested for 72 or 96 h. The use of plant resistance to aphids in crops will benefit from a better understanding of induced responses. The establishment of links between insect elicitation, plant signaling associated with phloem feeding, and proximal resistance mechanisms is critical to further research progress in this area.

Animals↗

Trends in cardiac catheterization laboratories in the United States.

The Society for Cardiac Angiography and Interventions has periodically published a Directory of Cardiac Catheterization Laboratories in the United States. All known catheterization laboratories are surveyed and certain operational characteristics are queried. These surveys, in 1983, 1987, 1993, 1995 and 1998, have demonstrated a 2.5 fold increase in cardiac catheterization laboratories since 1983, corresponding increases in numbers of physicians that perform procedures, and in the numbers of procedures performed, reflecting advances in cardiovascular medicine and technology. These surveys have also documented the evolution of interventional techniques, and a shift away from film based imaging, to digitally based methods. These data provide a substrate for consideration of national cardiovascular objectives and planning of future resource allocation by cardiovascular physicians and their colleagues.

Cardiac Catheterization↗