Identifying target populations to align with decision makers' needs.

Randomized trials estimate the average treatment effect within individuals that are eligible, invited and agree to enroll. However, decision makers often require evidence that extends beyond the trial's enrolled population to inform policy or actions for their specific target population. Each decision maker has distinct target populations, the composition of which may not often align with that of the trial population. As researchers, we should identify a decision maker for whom we aim to generate evidence early in the research process. We can then specify a target population of their interest and determine if a policy or action can be informed using results from a trial alone, or if additional complementary real-world data and analysis are required. In this commentary, we outline five key groupings of decision makers: policymakers, payers, purchasers, providers, and patients. We then specify relevant target populations for decision makers interested in the effectiveness of beta-blockers following a myocardial infarction with preserved ejection fraction. Finally, we summarize the scenarios in which results from a randomized trial may or may not apply to these target populations and suggest relevant analytic approaches that can generate evidence to better align with a decision makers' needs.

Barriers to Surrogate Application of Patient Values in Medical Decisions in Acute Stroke: Qualitative Study in a Biethnic Community.

BACKGROUND: The objective of this study was to identify barriers to surrogate decision-maker application of patient values on life-sustaining treatments after stroke in Mexican American (MA) and non-Hispanic White (NHW) patients. METHODS: We conducted a qualitative analysis of semistructured interviews with stroke patient surrogate decision-makers completed approximately 6 months after hospitalization. RESULTS: Forty-two family surrogate decision-makers participated (median age: 54.5 years; female: 83%; patients were MA [60%] and NHW [36%], and 50% were deceased at the time of the interview). We identified three primary barriers to surrogates' applications of patient values and preferences when making decisions on life-sustaining treatments: (1) a minority of surrogates had no prior discussion of what the patient would want in the event of a serious medical illness, (2) surrogates struggled to apply prior known values and preferences to the actual decisions made, and (3) surrogates felt guilt or burden, often even in the setting of some knowledge of patient values or preferences. The first two barriers were seen to a similar degree in MA and NHW participants, though guilt or burden was reported more commonly among MA (28%) than NHW (13%) participants. Maintaining patient independence (e.g., ability to live at home, avoid a nursing home, make their own decisions) was the most important priority for decision-making for both MA and NHW participants; however, MA participants were more likely to list spending time with family as an important priority (24% vs. 7%). CONCLUSIONS: Stroke surrogate decision-makers may benefit from (1) continued efforts to make advance care planning more common and more relevant, (2) assistance in how to apply their knowledge of patient values to actual treatment decisions, and (3) psychosocial support to reduce emotional burden. Barriers to surrogate application of patient values were generally similar in MA and NHW participants, though the possibility of greater guilt or burden among MA surrogates warrants further investigation and confirmation.

Suitability of Preference Methods Across the Medical Product Lifecycle: A Multicriteria Decision Analysis.

OBJECTIVES: This study aimed to understand the importance of criteria describing methods (eg, duration, costs, validity, and outcomes) according to decision makers for each decision point in the medical product lifecycle (MPLC) and to determine the suitability of a discrete choice experiment, swing weighting, probabilistic threshold technique, and best-worst scale cases 1 and 2 at each decision point in the MPLC. METHODS: Applying multicriteria decision analysis, an online survey was sent to MPLC decision makers (ie, industry, regulatory, and health technology assessment representatives). They ranked and weighted 19 methods criteria from an existing performance matrix about their respective decisions across the MPLC. All criteria were given a relative weight based on the ranking and rating in the survey after which an overall suitability score was calculated for each preference elicitation method per decision point. Sensitivity analyses were conducted to reflect uncertainty in the performance matrix. RESULTS: Fifty-nine industry, 29 regulatory, and 5 health technology assessment representatives completed the surveys. Overall, "estimating trade-offs between treatment characteristics" and "estimating weights for treatment characteristics" were highly important criteria throughout all MPLC decision points, whereas other criteria were most important only for specific MPLC stages. Swing weighting and probabilistic threshold technique received significantly higher suitability scores across decision points than other methods. Sensitivity analyses showed substantial impact of uncertainty in the performance matrix. CONCLUSION: Although discrete choice experiment is the most applied preference elicitation method, other methods should also be considered to address the needs of decision makers. Development of evidence-based guidance documents for designing, conducting, and analyzing such methods could enhance their use.

Preventing and developmental factors of sustainability in healthcare organisations from the perspective of decision makers: an exploratory factor analysis.

BACKGROUND: UN Sustainable Development Goals are part of the political agenda of most developed countries. Being a developing country, Albania has only recently adhered to this trend. Prior research at national level has sporadically focused on environmental sustainability, neglecting a holistic view of the phenomenon. To fill this gap, this study aims to explore preventing and developmental factors of sustainability in healthcare organisations from the perspective of decision makers by relying to a Triple Bottom Line approach. METHODS: Data were collected through a questionnaire administered to healthcare facilities and analysed through the Exploratory Factor Analysis. Findings revealed that the factors influencing the sustainability of the national healthcare system were five: Barriers of Organisational Sustainability; Stakeholders Pressure (regarding sustainable issues); Awareness (knowledge and measures taken for sustainability); Institutional Engagement; and Personal Interest and Involvement. The underlying factors included 19 items suitable for this sample, representing 64.371% of the total variance. RESULTS: The findings show the existence of 4 factors: Barriers of Organisational Sustainability, Stakeholders Pressure regarding Sustainable issues, Awareness/knowledge and measures taken for sustainability, Personal Interest and Involvement. CONCLUSIONS: It is evident that national health organisations should continuously improve its strategies to be consistent with the sustainable development goals of international organisations, so that their initiatives could reflect the integration of sustainability approaches at the organisational level.

Associations of surrogates' death-preparedness states with decisional conflict and heightened decisional regret over cancer patients' last 6 months of life.

OBJECTIVE: Preparing family surrogates for patient death and end-of-life (EOL) decision making may reduce surrogate decisional conflict and regret. Preparedness for patient death involves cognitive and emotional preparedness. We assessed the associations of surrogates' death-preparedness states (that integrate both cognitive and emotional preparedness for patient death) with surrogates' decisional conflict and regret. METHODS: Associations of 173 surrogates' death-preparedness states (no, cognitive-only, emotional-only, and sufficient preparedness states) with decisional conflict (measured by the Decision Conflict Scale) and heightened decisional regret (Decision Regret Scale scores >25) were evaluated using hierarchical linear modeling and hierarchical generalized linear modeling, respectively, during a longitudinal observational study at a medical center over cancer patients' last 6 months. RESULTS: Surrogates reported high decisional conflict (mean [standard deviation] = 41.48 [6.05]), and 52.7% of assessments exceeded the threshold for heightened decisional regret. Surrogates in the cognitive-only preparedness state reported a significantly higher level of decisional conflict (ß = 3.010 [95% CI = 1.124, 4.896]) than those in the sufficient preparedness state. Surrogates in the no (adjusted odds ratio [AOR] [95% CI] = 0.293 [0.113, 0.733]) and emotional-only (AOR [95% CI] = 0.359 [0.149, 0.866]) preparedness states were less likely to suffer heightened decisional regret than those in the sufficient preparedness state. CONCLUSIONS: Surrogates' decisional conflict and heightened decisional regret are associated with their death-preparedness states. Improving emotional preparedness for the patient's death among surrogates in the cognitive-only preparedness state and meeting the specific needs of those in the no, emotional-only, and sufficient preparedness states are actionable high-quality EOL-care interventions that may lessen decisional conflict and decisional regret.

Economic Evaluation of Vaccination Programs: A Guide for Selecting Modeling Approaches.

OBJECTIVES: Illustrate 3 economic evaluation methods whose value measures may be useful to decision makers considering vaccination programs. METHODS: Keyword searches identified example publications of cost-effectiveness analysis (CEA), fiscal health modeling (FHM), and constrained optimization (CO) for economic evaluation of a vaccination program in countries where at least 2 of the methods had been used. We examined the extent to which different value measures may be useful for decision makers considering adoption of a new vaccination program. With these findings, we created a guide for selecting modeling approaches illustrating the decision-maker contexts and policy objectives for which each method may be useful. RESULTS: We identified 8 countries with published evaluations for vaccination programs using >1 method for 4 infections: influenza, human papilloma virus, rotavirus, and malaria. CEA studies targeted health system decision makers using a threshold to determine the efficiency of a new vaccination program. FHM studies targeted public sector spending decision makers estimating lifetime changes in government tax revenue net of transfer payments. CO studies targeted decision makers selecting from a mix of options for preventing an infectious disease within budget and feasibility constraints. Cost and utility inputs, epidemiologic models, comparators, and constraints varied by modeling method. CONCLUSIONS: Although CEAs measures of incremental cost-effectiveness ratios are critical for understanding vaccination program efficiency for all decision makers determining access and reimbursement, FHMs provide measures of the program's impact on public spending for government officials, and COs provide measures of the optimal mix of all prevention interventions for public health officials.

A Qualitative Analysis of Factors Influencing Critical Care Trial Enrollment Among Surrogates.

BACKGROUND: We sought to identify factors that influence surrogate decision makers' decisions to enroll patients into a critical care randomized controlled trial. METHODS: We conducted a qualitative study embedded within a randomized controlled trial testing the effect of a behavioral nudge intervention for surrogate decision makers on enrollment rate in a sham ventilatory weaning trial among patients with acute respiratory failure. Participants were adult surrogate decision makers of patients receiving mechanical ventilation for acute respiratory failure. The study was conducted in 10 ICUs across 2 urban hospitals within an academic medical center in Philadelphia, Pennsylvanaia, United States. Immediately following their trial enrollment decision, surrogate decision makers were asked to enter free-text responses about the factors that influenced their decision. Responses were analyzed using content analysis. RESULTS: Of the 90 (49%) participants who provided free-text responses, the mean age was 54.9 years (SD 14.3), 69 (79%) were Caucasian, and 48 (53%) were the spouse of the eligible patient. We identified 5 themes influencing enrollment decisions: (i) trial characteristics, (ii) patient clinical condition, (iii) decision making processes, (iv) altruism, and (v) enrollment attempt. Among surrogates who enrolled the patient in the trial (n = 40), the most commonly cited factors were helping future patients (n = 24, 60%) and following the patient's wishes (n = 11, 28%). In contrast, those who declined enrollment (n = 50) most commonly reported that the patient was too sick (n = 27, 54%) and that they feared complicating the patient's condition (n = 11, 22%). CONCLUSIONS: Surrogates who enroll patients into trials most often cite altruistic motivations, while those who decline enrollment are most often concerned with the severity of the patients' condition.

A systematic literature review of revealed preferences of decision-makers for recommendations of cancer drugs in health technology assessment.

OBJECTIVES: This review intends to provide an overview of revealed preferences of decision-makers for recommendations of cancer drugs in health technology assessment (HTA) among the different agencies. METHODS: A systematic literature search was performed in MEDLINE and EMBASE databases from inception to July 2020. The studies were eligible for inclusion if they conducted a quantitative analysis of HTA's previous decisions for cancer drugs. The factors with p-values below the significance level of .05 were considered as the statistically significant factors for HTA decisions. RESULTS: A total of nine studies for six agencies in Australia, Belgium, France, South Korea, the UK, and Canada were eligible to be included. From the univariable analysis, improvements in clinical outcomes and cost-effectiveness were found as significant factors for the agencies in Belgium, South Korea, and Canada. From the multivariable analysis, cost-effectiveness was found as a positive factor for the agencies in the UK, South Korea, and Canada. Few factors related to characteristics of disease and technology were found to be significant among the included agencies. CONCLUSIONS: Despite the different drug reimbursement systems and the socioeconomic situations, cost-effectiveness and/or improvement on clinical outcomes seemed to be the most important factors for recommendations of cancer drugs among the agencies.

Perspectives of Policy Makers and Service Users Concerning the Implementation of eHealth in Sweden: Interview Study.

BACKGROUND: Increasing life spans of populations and a growing demand for more advanced care make effective and cost-efficient provision of health care necessary. eHealth technology is often proposed, although research on barriers to and facilitators of the implementation of eHealth technology is still scarce and fragmented. OBJECTIVE: The aim of this study is to explore the perceptions concerning barriers to and facilitators of the implementation of eHealth among policy makers and service users and explore the ways in which their perceptions converge and differ. METHODS: This study used interview data from policy makers at different levels of health care (n=7) and service users enrolled in eHealth interventions (n=25). The analysis included separate qualitative content analyses for the 2 groups and then a second qualitative content analysis to explore differences and commonalities. RESULTS: Implementation barriers perceived by policy makers were that not all service users benefit from eHealth and that there is uncertainty about the impact of eHealth on the work of health care professionals. Policy makers also perceived political decision-making as complex; this included problems related to provision of technical infrastructure and lack of extra resources for health care digitalization. Facilitators were policy makers' conviction that eHealth is what citizens want, their belief in eHealth solutions as beneficial for health care practice, and their belief in the importance of health care digitalization. Barriers for service users comprised capability limitations and varied preferences of service users and a mismatch of technology with user needs, lack of data protection, and their perception of eHealth as being more time consuming. Facilitators for service users were eHealth technology design and match with their skill set, personal feedback and staff support, a sense of privacy, a credible sender, and flexible use of time.There were several commonalities between the 2 stakeholder groups. Facilitators for both groups were the strong impetus toward technology adoption in society and expectations of time flexibility. Both groups perceived barriers in the difficulties of tailoring eHealth, and both groups expressed uncertainty about the care burden distribution. There were also differences: policy makers perceived that their decision-making was very complex and that resources for implementation were limited. Service users highlighted their need to feel that their digital data were protected and that they needed to trust the eHealth sender. CONCLUSIONS: Perceptions about barriers to and facilitators of eHealth implementation varied among stakeholders in different parts of the health care system. The study points to the need to reach an enhanced mutual understanding of priorities and overcome challenges at both the micro and macro levels of the health care system. More well-balanced decisions at the policy-maker level may lead to more effective and sustainable development and future implementation of eHealth.

A framework for nurses working in partnership with substitute decision-makers for people living with advanced dementia: A discursive paper.

AIM: To describe and discuss clinical strategies for nurses working in partnership with substitute decision-makers for people living with advanced dementia. BACKGROUND: By providing person-centred care to patients living with advanced dementia, nurses are positioned to work in partnership with substitute decision-makers who make healthcare decisions related to advanced care. Because the experience of being substitute decision-makers is complex and stressful, nurses need skillsets for working in partnership with substitute decision-makers. DESIGN: In this discursive paper, an innovative framework for working in partnership with substitute decision-makers is proposed. METHOD: Evidence-based findings from a systematic review provided five domain foci for the partnership framework. In each domain, two clinical strategies were discursively proposed. Clinical strategies were hypothesised from research findings and insights from the authors' nursing experiences. Then, topical literature was searched, and findings were used to support the discursively argued strategies. DISCUSSION: To deal with complexities and reduce stress for substitute decision-makers, an innovative Nurse-Substitute Decision-Maker Partnership Framework for use in the context of advanced dementia is proposed and discussed. The partnership framework consists of five domains: Building trust, Exploring emotions, Translating quality of life, Encouraging proactivity and Negotiating families. Within these domains, ten strategies to support the practices of clinical nurses to work in partnership with substitute decision-makers are discussed. RELEVANCE TO CLINICAL PRACTICE: In the framework, the ten clinical nursing strategies are designed to provide targeted care to substitute decision-makers in areas that are known to cause complexity and stress to them. The Nurse-Substitute Decision-Maker Partnership Framework has been designed to improve nurse-substitute decision-maker partnerships and reduce the stress experienced by substitute decision-makers as they work through the complexities associated with advanced dementia.

Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19.

The purpose of the paper is to create an information, fuzzy risk assessment model to support the decision-making of Municipality management for the establishment and management of measures in the safe mode (regular) of City, emergency and disaster situations, in the selected components of Smart City concept. Research on this topic was motivated by the need for support, especially in emergency situations, such as the COVID-19 pandemic. It is proposed that the evaluation be carried out at local level within the framework of the Smart City concept and selected components integrated into the entity, including the Smart Security, Smart Healthcare, and Smart Environment components supported by the Smart WebGIS subsystem. The model also assesses proposed solutions for self-government financing to ensure the acceptable risk, and economic impact of decisions on the city budget within the Smart Budget aspects of selected components. Decision-making is based on intellectual analysis, processing of fuzzy data and use of fuzzy inference. The output of the model is the assessment of the risk of the municipality subsystems, taking into account the threshold for the functioning of the municipality subsystems, the linguistic interpretation of the level of risk and the acceptability of the tolerable risk resource. The model algorithm was used to create a web application to support the Municipal management for the above-mentioned agenda, from safe time to pandemics.

Evaluation of sustainable e-waste collection method for urban and rural region of India.

Electronic waste is one of the most challenging waste streams to manage. It has become a significant concern in developing countries due to the ever-increasing volume of generation coupled with deficient growth in collection and processing infrastructure. For the various stakeholders, it is of paramount importance to adopt a robust and sustainable collection method for hazard mitigation. The prevalent e-waste collection methods are categorized under four major heads, namely take-back, retail store, door-to-door and curbside collection. The e-waste collection problems are analysed from various perspective, based on literature that cited developing country-specific survey and data that includes India. Economic sustainability and potential risk are included as attributes in the evaluation scheme. We attempt to establish a decision-making model. Discussion with the field experts and decision-makers (DMs) provided the weights for various attributes and sub-attributes. A fuzzy linguistic scale is used to take care of ambiguity in DMs' opinion. Fuzzy- Analytical Hierarchy Process (FAHP) is used to determine the importance of various attributes and sub-attributes, while Fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) is used to determine the rank of the alternatives. Based on the analysis, 'take-back collection' and 'retail store based collection' are found the most suitable options for urban and rural regions respectively. The attributes, social awareness and economical sustainability are found to have the highest significance in both cases. Implementation of a collection method is an expensive activity, and the proposed Fuzzy-Multi Attribute Decision Making attempts to capture various attributes and their complex interplay to arrive at a decision on optimum e-waste collection option(s) in a specific locality.

Hospital Investment Decisions in Healthcare 4.0 Technologies: Scoping Review and Framework for Exploring Challenges, Trends, and Research Directions.

BACKGROUND: Alternative approaches to analyzing and evaluating health care investments in state-of-the-art technologies are being increasingly discussed in the literature, especially with the advent of Healthcare 4.0 (H4.0) technologies or eHealth. Such investments generally involve computer hardware and software that deal with the storage, retrieval, sharing, and use of health care information, data, and knowledge for communication and decision-making. Besides, the use of these technologies significantly increases when addressed in bundles. However, a structured and holistic approach to analyzing investments in H4.0 technologies is not available in the literature. OBJECTIVE: This study aims to analyze previous research related to the evaluation of H4.0 technologies in hospitals and characterize the most common investment approaches used. We propose a framework that organizes the research associated with hospitals' H4.0 technology investment decisions and suggest five main research directions on the topic. METHODS: To achieve our goal, we followed the standard procedure for scoping reviews. We performed a search in the Crossref, PubMed, Scopus, and Web of Science databases with the keywords investment, health, industry 4.0, investment, health technology assessment, healthcare 4.0, and smart in the title, abstract, and keywords of research papers. We retrieved 5701 publications from all the databases. After removing papers published before 2011 as well as duplicates and performing further screening, we were left with 244 articles, from which 33 were selected after in-depth analysis to compose the final publication portfolio. RESULTS: Our findings show the multidisciplinary nature of the research related to evaluating hospital investments in H4.0 technologies. We found that the most common investment approaches focused on cost analysis, single technology, and single decision-maker involvement, which dominate bundle analysis, H4.0 technology value considerations, and multiple decision-maker involvement. CONCLUSIONS: Some of our findings were unexpected, given the interrelated nature of H4.0 technologies and their multidimensional impact. Owing to the absence of a more holistic approach to H4.0 technology investment decisions, we identified five promising research directions for the topic: development of economic valuation methodologies tailored for H4.0 technologies; accounting for technology interrelations in the form of bundles; accounting for uncertainties in the process of evaluating such technologies; integration of administrative, medical, and patient perspectives into the evaluation process; and balancing and handling complexity in the decision-making process.

Local Decision-makers' Perspectives on Roadside Revegetation and Management in Iowa, USA.

Environmental practitioners must understand those they collaborate with to implement programs that are both socially and ecologically effective. Practitioners who understand decision-makers' perspectives are better able to collaborate to lower political, financial, and cultural obstacles. In this study, we surveyed decision-makers involved with a voluntary environmental program in Iowa, USA. Iowa counties can choose to manage their roadside vegetation using an ecological approach, called integrated roadside vegetation management. Key decision-makers who decide whether a county has a roadside program are the county board of supervisors and the county conservation board. We used a mixed-mode design to survey the conservation board directors and chairs of the board of supervisors in each county. Our main goals were to understand the decision-makers' perceived benefits and barriers to having a roadside program in their counties, as well as the key factors influencing their decisions about roadside vegetation management. Safety, maintenance cost savings, and erosion control were the main factors that influenced decision-making, while pollinators and other wildlife received the least consideration. However, decision-makers in counties with a roadside vegetation manager were more influenced by pollinators and other wildlife compared to their counterparts in counties without a roadside vegetation manager. The main barriers to having a program include a lack of resources or other concerns being a higher priority. Emphasizing safety, cost savings, and erosion control benefits of roadside programs, and identifying ways to lower startup costs may increase buy-in with county decision-makers.

Environmental drivers of meiofaunal natural variability, Egypt, Southeastern Mediterranean.

Sandy beaches are challenging ecosystems, in which biota experience extreme physical conditions. We sampled meiofauna in conjunction with environmental factors that are well-known to affect faunal associations to describe the ecological state of sandy beaches that experience natural and human-made disturbances. We applied a random stratified sampling design with monthly collections (1800 cores) at three beaches on the Alexandria, Egypt, coast during two sampling periods over 1 year from November to April and May to September. We used multivariate analyses to compare beaches for water quality, particle size, and meiofaunal assemblages. The environmental analysis explained 60% of the total variation of physical factors among beaches and grouped beaches that moderately sorted fine-grained sand and high water salinity vs. the beach with well-sorted, coarse-grain, and low salinity. Meiofaunal analyses revealed unexpected results. The abundance and temporal variation were low, and the explained proportion of natural variation by the putative environmental factors was small. The natural variation was an indicator of long-term beach ruin and oligotrophic conditions. Our results suggest that a large fraction of natural variation in beach meiofauna is stochastic or that other, non-measured, the natural forces (e.g., storm events) or human-made forces (e.g., tourism activities) are essential contributors to variation. Our best models indicate that meiofauna is more resilient to natural disturbances than to human-made stressors, and the higher the beach exposure to the synergetic effects of natural forces and anthropogenic stressors, the lower the ecological state is.

Advancement of global health: Recommendations from the Global Advisory Panel on the Future of Nursing & Midwifery (GAPFON®).

AIMS: To discuss nurses' contributions to global health through their participation in GAPFON®. DESIGN: Discussion paper that reviews literature related to global health, global nursing and midwifery based on the contributions of the GAPFON® report. DATA SOURCES: A literature search of electronic databases was conducted for published articles during 2014-2018 in English focusing on the main themes of the GAPFON® report. Manual searches of relevant journals and internet sites were also undertaken. RESULTS: Recommendations and strategies were discussed that could have an impact on the advancement of the nursing profession's contribution to global health based on the GAPFON® report outcomes. IMPLICATIONS FOR NURSING: GAPFON® provides a framework to synergize and converge our activities to address professional issues around the globe, through implementation of the suggested strategies identified in the GAPFON® report. GAPFON® has engaged with nursing and midwifery leaders around the globe to determine both the most pressing health issues and professional issues in regions and the report is a synthesis of all the data, reflecting regional and global challenges. This article explores ways of how the report can be used as a basis for engagement with decision makers in global health. CONCLUSION: Advances in the professional areas embedded in the GAPFON® Model are expected to lead to capacity building, evidence-based practice and ultimately improved quality of global health care. The strategies for implementation identified by regional stakeholders can have an impact on the global health agenda by focusing on nurses and midwives as the drivers of this change.

Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture.

Governments such as New Zealand's seek to raise the value of agricultural exports while concurrently protecting the natural environment. Therefore, farmers are encouraged to increase production while reducing environmental impacts. In this paper, we analyse the relationship between age and farmer values, farming objectives, past management decisions, and future intentions, all of which may impact the environment. Using multivariate regression that controls for gender, education, industry, and region, we find that older farmers are more risk averse, less willing to experiment, less likely to be influenced by social expectations, and more focused on financial performance. Older farmers are less likely to adopt new technologies and to have concrete plans to convert land and to intensify existing land uses. Using an agro-environmental land use model to project changes in farmer demographics, we find that if farm succession and adoption rates follow our estimates, then the natural shift in farmer age and resulting preferences for implementing plans to manage nutrients and soils over time could lead to a reduction in New Zealand's annual total nitrogen, phosphorus, and soil loss by 7%, 9%, and 19%, respectively, between 2015 and 2075. We conclude by noting that encouraging younger individuals to become more active in the farming community is a positive step towards accelerating the adoption of management practices with environmental benefits, but caution that this strategy alone will not meet the full objectives of the country's recent freshwater reforms.

Comparing cognitive load levels among family members of the critically ill exposed to electronic decision aids.

Cognitive load predicts one's ability to process information and learn from decision support interventions. The present study compared intrinsic and extraneous cognitive load levels resulting from exposure to two different electronic decision aids. A convenience sample of ninety-seven surrogate decision makers for critically ill patients were randomly assigned to receive either a single dose of a video-based or avatar-based decision aid. Intrinsic and extraneous cognitive load levels among recipients of the video-based decision support resource were lower than recipients of the avatar-based decision support resource. After controlling for age, the observed differences in intrinsic cognitive load were not significantly different, whereas the observed differences in extraneous cognitive load remained. Extraneous cognitive load is a modifiable factor to consider for future developers of decision support interventions that may determine the efficacy of efforts to support patients and family members with decision making.

Stakeholder involvement in Multi-Criteria Decision Analysis.

This brief perspective highlights the importance of decision maker buy-in and ownership through stakeholder engagement in the co-construction of the multi-criteria decision analysis (MCDA) model. A brief historical overview of MCDA is presented before outlining the importance of bridging the gap (and to gain trust) between the tool developers and users. The issues with the current MCDA tool development and testing efforts are highlighted, and the ownership and routine adoption of the MCDA process is discussed.

IMPACT OF HEALTH TECHNOLOGY ASSESSMENT REPORTS ON HOSPITAL DECISION MAKERS - 10-YEAR INSIGHT FROM A HOSPITAL UNIT IN SHERBROOKE, CANADA: IMPACT OF HEALTH TECHNOLOGY ASSESSMENT ON HOSPITAL DECISIONS.

OBJECTIVES: The overarching goal of this research was to (i) evaluate the impact of reports with recommendations provided by a hospital-based health technology assessment (HB-HTA) unit on the local hospital decision-making processes and implementation activities and (ii) identify the underlying factors of the nonimplementation of recommendations. METHODS: All reports produced by the HB-HTA unit between December 2003 and March 2013 were retrieved, and hospital decision makers who requested these reports were solicited for enrolment. Participants were interviewed using a mixed design survey. RESULTS: Twenty reports, associated with fifteen decision makers, fulfilled the study criteria. Nine decision makers accepted to participate, corresponding to thirteen reports and twenty-three recommendations. Of the twenty-three recommendations issued, 65 percent were implemented, 9 percent were accepted for implementation but not implemented, and 26 percent were declined. In terms of the utility of each report to guide decision makers, 92 percent of the reports were considered in the decision-making process; 85 percent had one or more recommendations adopted; and 77 percent had recommendations implemented. The most frequently mentioned reasons for nonimplementation were related to contextual factors (64 percent), production/diffusion process factors (14 percent), content/format factors (14 percent), or other factors (9 percent). Among the contextual factors, the complexity of the changes (i.e., administrative reasons), budget and resources constraints, failure to identify administrative responsibility to carry out the recommendation, and nonpriority status of the HTA recommendation, were provided. CONCLUSIONS: This study highlights that although HB-HTA reports are useful to hospital managers in their decision-making processes, certain barriers such as contextual factors need to be better addressed to improve HB-HTA efficiency and usefulness.