PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Decision Making”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,027 records · Page 57Linked to original sources

Developing decision support systems for integrated coastal management in the tropics: is the ICM decision-making environment too complex for the development of a useable and useful DSS?

Integrated coastal management in the tropics requires the conservation of vulnerable and diverse ecosystems such as coral reefs and mangroves as well as the management of land and marine-based human activities. Decision-making for integrated coastal management involves multiple decision-makers and multiple stakeholders often with conflicting needs and interests. Decision support systems can be developed to improve our understanding of the inter-relationships between the natural and socio-economic variables and hence result in improved decision-making. The question is whether this decision making environment is actually too complex for the development of useful and useable decision support systems. This paper describes the components of the decision making environment and the components of a decision support system. It also explores the various techniques available to deal with different modelling needs, the constraints of inadequate data and the multi-objective decision making environment. In addition, different techniques of developing decision support systems can play important roles within integrated coastal management. Three coastal decision support systems are evaluated in terms of their design and role in integrated coastal management and are used to evaluate the potential to develop decision support systems for integrated coastal management.

Animals↗

The effects of sleep inertia on decision-making performance.

Sleep inertia, the performance impairment that occurs immediately after awakening, has not been studied previously in relation to decision-making performance. Twelve subjects were monitored in the sleep laboratory for one night and twice awoken by a fire alarm (slow wave sleep, SWS and REM sleep). Decision making was measured over 10 3-min trials using the 'Fire Chief' computer task under conditions of baseline. SWS and REM arousal. The most important finding was that sleep inertia reduces decision-making performance for at least 30 min with the greatest impairments (in terms of both performance and subjective ratings) being found within 3 min after abrupt nocturnal awakening. Decision-making performance was as little as 51% of optimum (i.e. baseline) during these first few minutes. However, after 30 min. performance may still be as much as 20% below optimum. The initial effects of sleep inertia during the first 9 min are significantly greater after SWS arousal than after REM arousal, but this difference is not sustained. Decision-making performance after REM arousal showed more variability than after SWS arousal. Subjects reported being significantly sleepier and less clear-headed following both SWS and REM awakenings compared with baseline and this was sustained across the full 30 min. In order to generalize this finding to real-life situations, further research is required on the effects of continuous noise, emotional arousal and physical activity on the severity and duration of sleep inertia.

Adult↗

Reasoning in explanation-based decision making.

A general theory of explanation-based decision making is outlined and the multiple roles of inference processes in the theory are indicated. A typology of formal and informal inference forms, originally proposed by Collins (1978a, 1978b), is introduced as an appropriate framework to represent inferences that occur in the overarching explanation-based process. Results from the analysis of verbal reports of decision processes are presented to demonstrate the centrality and systematic character of reasoning in a representative legal decision-making task.

Criminal Law↗

Reinforcement learning and decision making in monkeys during a competitive game.

Animals living in a dynamic environment must adjust their decision-making strategies through experience. To gain insights into the neural basis of such adaptive decision-making processes, we trained monkeys to play a competitive game against a computer in an oculomotor free-choice task. The animal selected one of two visual targets in each trial and was rewarded only when it selected the same target as the computer opponent. To determine how the animal's decision-making strategy can be affected by the opponent's strategy, the computer opponent was programmed with three different algorithms that exploited different aspects of the animal's choice and reward history. When the computer selected its targets randomly with equal probabilities, animals selected one of the targets more often, violating the prediction of probability matching, and their choices were systematically influenced by the choice history of the two players. When the computer exploited only the animal's choice history but not its reward history, animal's choice became more independent of its own choice history but was still related to the choice history of the opponent. This bias was substantially reduced, but not completely eliminated, when the computer used the choice history of both players in making its predictions. These biases were consistent with the predictions of reinforcement learning, suggesting that the animals sought optimal decision-making strategies using reinforcement learning algorithms.

Algorithms↗

Individual differences in decision making: Drive and Reward Responsiveness affect strategic bargaining in economic games.

BACKGROUND: In the growing body of literature on economic decision making, the main focus has typically been on explaining aggregate behavior, with little interest in individual differences despite considerable between-subject variability in decision responses. In this study, we were interested in asking to what degree individual differences in fundamental psychological processes can mediate economic decision-making behavior. METHODS: Specifically, we studied a personality dimension that may influence economic decision-making, the Behavioral Activation System, (BAS) which is composed of three components: Reward Responsiveness, Drive, and Fun Seeking. In order to assess economic decision making, we utilized two commonly-used tasks, the Ultimatum Game and Dictator Game. Individual differences in BAS were measured by completion of the BIS/BAS Scales, and correlations between the BAS scales and monetary offers made in the two tasks were computed. RESULTS: We found that higher scores on BAS Drive and on BAS Reward Responsiveness were associated with a pattern of higher offers on the Ultimatum Game, lower offers on the Dictator Game, and a correspondingly larger discrepancy between Ultimatum Game and Dictator Game offers. CONCLUSION: These findings are consistent with an interpretation that high scores on Drive and Reward Responsiveness are associated with a strategy that first seeks to maximize the likelihood of reward, and then to maximize the amount of reward. More generally, these results suggest that there are additional factors other than empathy, fairness and selfishness that contribute to strategic decision-making.

Journal Article↗

A clinical research strategy to support shared decision making.

Greater use of evidence in health care decision making has highlighted the limited quantity and quality of evidence for many decisions. To make informed decisions, patients and physicians depend on valid evidence about benefits, risks, and costs of alternative treatments. Policymakers can also use this information to make promising new technologies available sooner, while ensuring adequate evaluation. The clinical research enterprise can be expanded with simple trials and registries. A more systematic effort to produce this evidence will entail establishing research priorities, improving research methods, expanding the research infrastructure, and engaging new funds.

Decision Making, Organizational↗

Core and comprehensive health care services: 1. Introduction to the Canadian Medical Association's decision-making framework.

The CMA's decision-making framework on core (i.e., publicly funded) and comprehensive health care services emphasizes flexibility and recognizes three levels at which decisions can be made: between patients and physicians (micro), in the community or by society (meso) and by governments (macro). Three major content dimensions are considered quality of care (e.g., effectiveness, appropriateness and efficiency of health care services), ethics (e.g., decisions that reflect fairness and acceptability to patients and physicians) and economics (e.g., measurement of service costs against economic benefits in a time of severe economic restraint). There are challenges in applying the framework; however, by providing decision-makers with the knowledge and tools needed to assist in the process, it is hoped that the first and foremost concern will continue to be the quality of patient care so highly valued by Canadians.

Canada↗

Decision-making after traumatic brain injury in children: a preliminary study.

Decision-making under conditions of uncertainty was studied in 11 children with moderate to severe post-acute traumatic brain injury (TBI) using a modification of the Iowa Gambling Task (Bechara et al., 1994). We hypothesized that decision-making would be compromised in children with TBI. The results revealed that when divided into subgroups by lesion location, children with lesions in the amygdala (AM) were impaired on modified gambling task performance, but children with ventromedial (VM) lesions did not appear to be impaired on the task. These results are in contrast to studies of decision-making in adults with focal lesions of vascular etiology.

Adolescent↗

Should cardiopulmonary resuscitation be performed on patients with heart failure? The role of the patient in the decision-making process.

OBJECTIVES: There is an ongoing debate about patients' involvement in the decision of whether or not to start, cardiopulmonary resuscitation (CPR) in the case of cardiac arrest. The objective here is to analyse on what grounds patients with heart failure, who run a relatively high risk of suffering cardiac arrest, form their attitudes towards CPR and to what extent they want to be involved in making decisions concerning CPR. DESIGN: This study employs a combined qualitative and quantitative interview concerning patients' knowledge about CPR, their experiences and preferences regarding involvement in making decisions concerning CPR, and their willingness to undergo CPR. SETTING: The study was performed at the Department of Cardiology, Sahlgrens University Hospital, Gothenburg. SUBJECTS: The subjects involved were 40 patients with various stages of chronic heart failure. RESULTS: Many of the interviewees lacked fundamental knowledge of CPR. The majority of the patients opted for CPR no matter how small their chances of survival were. The issue had not earlier engaged their thoughts, even less been discussed with physicians. The patients relied on the physician's ability to judge if CPR was to be regarded as a potentially beneficial intervention or as an unmotivated one. Nevertheless, the patients welcomed the opportunity to take part in the decision-making process. CONCLUSION: In order to make ethically justified decisions, physicians should consider bringing up the question of CPR with patients suffering from heart failure at the point in time where the progressive disease gives rise to more severe symptoms, corresponding to NYHA classes IIIb-IV. In earlier stages of the disease, one can assume that the patient will opt for CPR unless he or she demonstrates a negative attitude towards life.

Aged↗

Efficacy of proton magnetic resonance spectroscopy in neurological diagnosis and neurotherapeutic decision making.

Anatomic and functional neuroimaging with magnetic resonance imaging (MRI) includes the technology more widely known as magnetic resonance spectroscopy (MRS). Now a routine automated "add-on" to all clinical magnetic resonance scanners, MRS, which assays regional neurochemical health and disease, is therefore the most accessible diagnostic tool for clinical management of neurometabolic disorders. Furthermore, the noninvasive nature of this technique makes it an ideal tool for therapeutic monitoring of disease and neurotherapeutic decision making. Among the more than 100 brain disorders that fall within this broad category, MRS contributes decisively to clinical decision making in a smaller but growing number. In this review, we will cover how MRS provides therapeutic impact in brain tumors, metabolic disorders such as adrenoleukodystrophy and Canavan's disease, Alzheimer's disease, hypoxia, secondary to trauma or ischemia, human immunodeficiency virus dementia and lesions, as well as systemic disease such as hepatic and renal failure. Together, these eight indications for MRS apply to a majority of all cases seen. This review, which examines the role of MRS in enhancing routine neurological practice and treatment concludes: 1) there is added value from MRS where MRI is positive; 2) there is unique decision-making information in MRS when MRI is negative; and 3) MRS usefully informs decision making in neurotherapeutics. Additional efficacy studies could extend the range of this capability.

AIDS Dementia Complex↗

Use of algorithms as determinants for individual patient decision making: national comprehensive cancer network versus artificial neural networks.

The National Comprehensive Cancer Network (NCCN) developed a series of algorithms based on expert opinion to guide the treatment of patients with prostate cancer. These algorithms define acceptable treatment options according to the risk of disease recurrence and the life expectancy of the patient. However, practicing clinicians are expected to use medical judgment when making actual treatment decisions. Many clinical and pathologic variables affect patient prognosis, which, in turn, influences the treatment and surveillance of patients. Artificial neural networks (ANNs) offer promise for improving the predictive value of traditional statistical modeling. ANN models have been designed that predict risk of lymph node spread and capsular involvement during disease staging, risk of disease recurrence after prostatectomy, and overall and cause-specific survival. This article provides a review of guidelines, such as NCCN and ANN, used for the management of prostate cancer and suggests that group-level recommendations based on these algorithms or other decision trees may misrepresent individual patient preferences for treatment. Patients and their clinicians need to consider available prognostic information, including clinical status, pathologic variables, and comorbidities, and then select a reasonable treatment approach that maximizes outcome and quality of life according to the preferences of each patient.

Algorithms↗

Evaluating early-stage prostate cancer. What pretreatment criteria best guide therapeutic decision making?

Although much has been learned about clinically localized PCa, no single prognostic parameter has been identified that is uniquely reliable in assessing prognosis. The best approach to the newly diagnosed PCa patient remains unchanged: to review all the clinical, radiologic, and histopathologic findings together. In combination, the serum PSA level and the histologic features of a tumor on biopsy can be used to predict the likelihood that a tumor is organ-confined or has spread beyond the gland. By this approach, some patients may be placed into a low-risk category for which "watchful waiting" may be a reasonable option. For other patients, the benefit from this approach is in making more informed decisions concerning definitive therapy and/or the use of adjuvant therapy. The role of the surgical pathologist is to provide as much information as possible regarding the amount, location, and differentiation of tumor present in biopsy and TUR specimens. Prognostic interpretation of these histopathologic findings depends on good communication between pathologists and urologists, oncologists, and radiation oncologists, which remains a cornerstone in therapeutic decision making.

Adenocarcinoma↗

A preliminary study of the decision-making process within general practice.

OBJECTIVE: The aim of the present study was to explore the factors that contribute to the process of decision making within general practice, over and above evidence-based information. METHODS: A qualitative study was conducted using semi-structured interviews on a purposeful sample of GPs, based in the South West of England. Each interview was tape-recorded and transcribed verbatim. RESULTS: Five broad categories emerged from the data: practitioner; patient; practitioner-patient relationship; verbal and non-verbal communication; evidence-based medicine; and external factors. CONCLUSION: The nature of general practice is such that the process of making clinical decisions is complex. In an era when GPs are being overwhelmed by evidence-based information, consideration needs to be given to the implications that the nature of the decision-making process has upon the way 'evidence' is constructed and promoted within general practice.

Adult↗

Dissociation Of working memory from decision making within the human prefrontal cortex.

We tested the hypothesis that cognitive functions related to working memory (assessed with delay tasks) are distinct from those related to decision making (assessed with a gambling task), and that working memory and decision making depend in part on separate anatomical substrates. Normal controls (n = 21), subjects with lesions in the ventromedial (VM) (n = 9) or dorsolateral/high mesial (DL/M) prefrontal cortices (n = 10), performed on (1) modified delay tasks that assess working memory and (2) a gambling task designed to measure decision making. VM subjects with more anterior lesions (n = 4) performed defectively on the gambling but not the delay task. VM subjects with more posterior lesions (n = 5) were impaired on both tasks. Right DL/M subjects were impaired on the delay task but not the gambling task. Left DL/M subjects were not impaired on either task. The findings reveal a cognitive and anatomic double dissociation between deficits in decision making (anterior VM) and working memory (right DL/M). This presents the first direct evidence of such effects in humans using the lesion method and underscores the special importance of the VM prefrontal region in decision making, independent of a direct role in working memory.

Adult↗

Family centred decision making and non-disclosure of diagnosis in a South East Asian oncology practice.

AIM: To audit the extent of non-disclosure of cancer diagnosis (NDD) in South-East Asian patients referred to a Western trained oncologist, and determine the factors associated with this pattern of decision-making. METHODS: Over a 12-month period, all new patients referred to a single radiation oncologist's practice were prospectively audited at time of the initial consultation. Data obtained included patient demographic features, tumour details, proposed treatment and decision-making process. A shared decision-making consultation was attempted but if there was a persistent request by family to avoid disclosure, then a family-centred model was adopted. Patient autonomy was maintained by formally asking desire to participate in decision-making process, and subsequent permission then sought to involve family members as surrogates. Treatment aim, predicted median survival and NDD was recorded at end of consultation. Endpoints of patient NDD and non-discussion of prognosis were audited over a 12-month period, and factors potentially associated with these endpoints were assessed. RESULTS: Over a 12-month period 369 new patients were referred to the oncologist's practice. Forty per cent were >65 years, 84% Chinese race, and 66% non-English speaking. Lung (33%) and breast (32%) primaries were prominent. Forty-seven per cent were managed with palliative intent and 24% had expected median survivals of <6 months. NDD was recorded in 66 patients or 17% of the patient group. Quantitative discussion of prognosis was avoided in 36.8% of patients. On univariate analysis advanced patient age (p<0.001, OR=9.6, 95% CI 4.9-18.9), female sex (p=0.035, OR=1.8, 95% CI 1.04-3.1), non-English speaking (p<0.001, OR=21.4, 95% CI 5.1-89.1), palliative treatment aim (p<0.001, OR=5.9, 95% CI 3.1-11.2) and short expected median survival (p<0.001, OR=4.0, 95% CI 2.3-7.1) were associated with NDD. Advanced patient age (p<0.001, OR=7.9, 95% CI 3.6-17.5), female sex (p<0.001, OR=6.4, 95% CI 2.8-14.7), non-English speaking (p=0.010, OR=7.4, 95% CI 1.6-33.3) and palliative treatment aim (p=0.010, OR=3.3, 95% CI 1.3-8.0) remained significantly associated with NDD on multivariate logistic regression analysis. CONCLUSIONS: A high rate of desired NDD is evident in this Asian oncology population when a family-centred model to medical decision making is used. This data confirms that NDD and the model of decision making remains a significant ethical issue.

Age Distribution↗

Principles and guidelines for the development of a science-based decision making process facilitating the implementation of the 3Rs by governmental regulators.

National government establishments, including regulatory agencies, are part of national science systems, which are a subset of larger national innovation systems. The forces that have influenced the basic roles of national government establishments in five countries over the past 10 yr are reviewed on the basis of a study commissioned by Industry Canada in 1999 for the Council of Science and Technology Advisors to the Canadian government. The most significant response among countries has been found to be the financial and managerial restructuring of government science and technology establishments driven by the push toward self-financing. Trends in the roles of government science and technology in six areas are also ranked, with increasing the health and safety of the nation, providing support to industry and participating in international cooperation occupying the first three positions. Potential ramifications of these trends on the implementation of the concept of replacement, reduction, and refinement (the 3Rs) in ensuring the ethical use of animals in regulatory testing are discussed. Science advice and its role in governmental decision making is reviewed on the basis of the 1999 Report of the Council of Science and Technology Advisors, Science Advice for Government Effectiveness. Six principles developed for the effective use of science advice in making regulatory decision have been adapted and are proposed with accompanying guidelines as a framework for the development of a science-based decision making process to facilitate the implementation of the 3Rs by governmental regulators. The proposed series of principles and guidelines are designed to reflect the rapidly evolving and complex context for government decision making, and to remain consistent across government departments and across nations.

Animal Testing Alternatives↗

Effects of beta-adrenoceptor blockade on components of human decision-making.

RATIONALE: Converging evidence from studies with neurological patients and brain imaging studies with healthy volunteers suggests that the capacity to make choices between actions associated with probabilistic rewards and punishments depends upon a network of cortico-limbic systems including the orbitofrontal cortex, cingulate cortex, amygdala and striatum. The involvement of such structures highlights the emotional aspects of decision-making and suggests that decision-making may be sensitive to manipulations of the catecholamine systems that innervate these structures. In this study, we investigated the possible role of noradrenaline (NA). OBJECTIVE: We examined the effects of a single oral 80 mg dose of the beta-adrenoceptor blocker, propranolol, on the decision-making of healthy volunteers in a double-blind, placebo-controlled, between-subjects design. METHODS: Seventeen volunteers ingested a placebo while 15 volunteers ingested propranolol. Visual analogue scales, and self-reported positive and negative ratings, were used to assess subjective changes and mood. Vital signs were also monitored. Seventy-five minutes after treatment, volunteers were asked to make a series of choices between two simultaneously presented gambles, differing in the magnitude of possible gains (i.e. reward), the magnitude of possible losses (i.e. punishment), and the probabilities with which these outcomes were delivered. Volunteers also chose between gambles probing identified non-cognitive biases in human decision-making, namely, risk-aversion when choosing between gains and risk-seeking when choosing between losses. RESULTS: Propranolol treatment did not result in gross changes in subjective state or mood in comparison to placebo, but did slow heart rate significantly. Propranolol produced a selective change in volunteers' decision-making; namely, it significantly reduced the discrimination between large and small possible losses when the probability of winning was relatively low and the probability of losing was high. CONCLUSIONS: These results suggest that NA modulates the processing of punishment signals when choosing between probabilistic rewards and punishments under conditions of increased arousal.

Adolescent↗