The Experts below are selected from a list of 32028 Experts worldwide ranked by ideXlab platform

Othman Jamal - One of the best experts on this subject based on the ideXlab platform.

  • a Choice Experiment analysis for solid waste disposal option a case study in malaysia
    Journal of Environmental Management, 2011
    Co-Authors: Othman Jamal
    Abstract:

    In Malaysia, most municipal wastes currently are disposed into poorly managed ‘controlled tipping’ systems with little or no pollution protection measures. This study was undertaken to assist the relevant governmental bodies and service providers to identify an improved waste disposal management strategy. The study applied the Choice Experiment technique to estimate the nonmarket values for a number of waste disposal technologies. Implicit prices for environmental attributes such as psychological fear, land use, air pollution, and river water quality were estimated. Compensating surplus estimates incorporating distance from the residences of the respondents to the proposed disposal facility were calculated for a number of generic and technology-specific Choice sets. The resulting estimates were higher for technology-specific options, and the distance factor was a significant determinant in setting an equitable solid waste management fee.

Zhishi Wang - One of the best experts on this subject based on the ideXlab platform.

  • comparison of contingent valuation and Choice Experiment in solid waste management programs in macao
    Ecological Economics, 2006
    Co-Authors: Zhishi Wang
    Abstract:

    Abstract This study reports results from a double-bounded dichotomous Choice contingent valuation method (DC-CVM) and Choice Experiment (CE) study that aimed to examine Macao residents' preferences for alternative solid waste management policy changes in Macao. An empirical comparison of the welfare measures derived from the double-bounded DC-CVM and CE is conducted. There is no significant difference found between the values derived from the two methods. The results suggest that both double-bounded DC-CVM and CE can be successfully implemented for environmental valuation in Macao. This paper could provide the basis for further development of useful ideas on sustainable management of solid waste in Macao.

Seju Ku - One of the best experts on this subject based on the ideXlab platform.

  • willingness to pay for renewable energy investment in korea a Choice Experiment study
    Renewable & Sustainable Energy Reviews, 2010
    Co-Authors: Seju Ku
    Abstract:

    Renewable energy sources are considered as alternatives for coping with the high price of oil and global warming. The Korean government has set a target that 11% of the total primary energy supply should be obtained through renewable energy sources until 2030. In order to develop proper policies for renewable energy investment, it is necessary to analyze the benefits of renewable energy investment based on households' willingness to pay. This study attempts to apply a Choice Experiment (CE) for assessing renewable energy investment in Korea. Moreover, we employ a multinomial probit (MNP) model to relax the assumption that all respondents have the same preferences for the attributes being valued, which is usually required in empirical CE studies. An MNP model allows the most flexible pattern of error correlation structure. The results reveal that the Korean public puts a value on the protection of wildlife, reduction of pollution, and increased employment opportunities. On the other hand, respondents do not derive significant values from the improvement of landscapes. This study is expected to provide policy-makers with useful information for evaluating and planning policies related to renewable energy investment.

Margaret E Kruk - One of the best experts on this subject based on the ideXlab platform.

  • moving toward patient centered care in africa a discrete Choice Experiment of preferences for delivery care among 3 003 tanzanian women
    PLOS ONE, 2015
    Co-Authors: Elysia Larson, Daniel Vail, Godfrey Mbaruku, Angela Kimweri, Lynn P Freedman, Margaret E Kruk
    Abstract:

    In order to develop patient-centered care we need to know what patients want and how changing socio-demographic factors shape their preferences. We fielded a structured questionnaire that included a discrete Choice Experiment to investigate women's preferences for place of delivery care in four rural districts of Pwani Region, Tanzania. The discrete Choice Experiment consisted of six attributes: kind treatment by the health worker, health worker medical knowledge, modern equipment and medicines, facility privacy, facility cleanliness, and cost of visit. Each woman received eight Choice questions. The influence of potential supply- and demand- side factors on patient preferences was evaluated using mixed logit models. 3,003 women participated in the discrete Choice Experiment (93% response rate) completing 23,947 Choice tasks. The greatest predictor of health facility preference was kind treatment by doctor (β = 1.13, p<0.001), followed by having a doctor with excellent medical knowledge (β = 0.89 p<0.001) and modern medical equipment and drugs (β = 0.66 p<0.001). Preferences for all attributes except kindness and cost were changed with changes to education, primiparity, media exposure and distance to nearest hospital. Care quality, both technical and interpersonal, was more important than clinic inputs such as equipment and cleanliness. These results suggest that while basic clinic infrastructure is necessary, it is not sufficient for provision of high quality, patient-centered care. There is an urgent need to build an adequate, competent, and kind health workforce to raise facility delivery and promote patient-centered care.

  • women s preferences for place of delivery in rural tanzania a population based discrete Choice Experiment
    American Journal of Public Health, 2009
    Co-Authors: Margaret E Kruk, Godfrey Mbaruku, Magdalena Paczkowski, Helen De Pinho, Sandro Galea
    Abstract:

    Objectives. We fielded a population-based discrete Choice Experiment (DCE) in rural western Tanzania, where only one third of women deliver children in a health facility, to evaluate health-system factors that influence women's delivery decisions.Methods. Women were shown Choice cards that described 2 hypothetical health centers by means of 6 attributes (distance, cost, type of provider, attitude of provider, drugs and equipment, free transport). The women were then asked to indicate which of the 2 facilities they would prefer to use for a future delivery. We used a hierarchical Bayes procedure to estimate individual and mean utility parameters.Results. A total of 1203 women completed the DCE. The model showed good predictive validity for actual facility Choice. The most important facility attributes were a respectful provider attitude and availability of drugs and medical equipment. Policy simulations suggested that if these attributes were improved at existing facilities, the proportion of women preferr...

Mark G Shrime - One of the best experts on this subject based on the ideXlab platform.

  • patient preferences in subglottic stenosis treatment a discrete Choice Experiment
    Otolaryngology-Head and Neck Surgery, 2018
    Co-Authors: Mark G Shrime, Matthew R Naunheim, Vinay K Rathi, Ramon A Franco, Phillip C Song
    Abstract:

    : Objectives Subglottic stenosis can be addressed with several different surgical techniques, but patient preferences for these treatment modalities are poorly understood. Economic methods are increasingly being used to understand how patients make decisions. The objective of this pilot study was to assess preferences in subglottic stenosis treatment using patient-centric stated preference techniques. Study Design Discrete Choice Experiment (DCE). Setting Academic research facility. Subjects and Methods A computer-based DCE was administered in a monitored setting to volunteers from the general population. Signs and symptoms of subglottic stenosis were described, and participants were asked to imagine they had subglottic stenosis. Hypothetical treatments were offered, with 5 systematically varied attributes: need for external incision, length of hospital stay, postoperative voice quality, likelihood of repeat procedures, and risk of complication. A conditional logistic model was used to assess the relative attribute importance. Results In total, 162 participants were included. Attributes with the greatest impact on decision making included potential need for repeat procedures (importance 30.2%; P < .001), amount of operative risk (importance 28.1%; P < .001), and postoperative voice quality (importance 27.7%; P < .001), whereas presence of incision (importance 5.0%; P = .001) was less important, and hospital stay was not (importance 9.0%; P = .089). Based on aggregate responses for these attributes, the model demonstrated that most participants (80.4%) would prefer endoscopic surgery for subglottic stenosis as opposed to open tracheal resection (19.6%). Conclusion In this pilot population, most participants preferred voice-sparing, low-risk procedures as treatment for subglottic stenosis, consistent with an endoscopic approach, even if multiple procedures were required.

  • trading bankruptcy for health a discrete Choice Experiment
    Value in Health, 2018
    Co-Authors: Mark G Shrime, Milton C Weinstein, James K Hammitt, Jessica Cohen, Joshua A Salomon
    Abstract:

    Abstract Background Although nearly two-third of bankruptcy in the United States is medical in origin, a common assumption is that individuals facing a potentially lethal disease opt for cure at any cost. This assumption has never been tested, and knowledge of how the American population values a trade-off between cure and bankruptcy is unknown. Objectives To determine the relative importance among the general American population of improved health versus improved financial risk protection, and to determine the impact of demographics on these preferences. Methods A discrete-Choice Experiment was performed with 2359 members of the US population. Respondents were asked to value treatments with varying chances of cure and bankruptcy in the presence of a lethal disease. Latent class analysis with concomitant variables was performed, weighted for national representativeness. Sensitivity analyses were undertaken to test the robustness of the results. Results It was found that 31.3% of the American population values cure at all costs. Nevertheless, for 8.5% of the US population, financial solvency dominates concerns for health in medical decision making. Individuals who value cure at all costs are more likely to have had experience with serious disease and to be women. No demographic characteristics significantly predicted individuals who value solvency over cure. Conclusions Although the average American values cure more than financial solvency, a cure-at-all-costs rubric describes the preferences of a minority of the population, and 1 in 12 value financial protection over any chances of cure. This study provides empirical evidence for how the US population values a trade-off between avoiding adverse health outcomes and facing bankruptcy. These findings bring to the fore the decision making that individuals face in balancing the acute financial burden of health care access.