scholarly journals Preferences for research design and treatment of comorbid depression among patients with an opioid use disorder: A cross-sectional discrete choice experiment

2021 ◽  
pp. 108857
Author(s):  
Gabriel Bastien ◽  
Claudio Del Grande ◽  
Alina Dyachenko ◽  
Janusz Kaczorowski ◽  
M. Gabrielle Pagé ◽  
...  
Keyword(s):  
Research Design ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Comorbid Depression ◽  
Cross Sectional

scholarly journals Doctor’s Preference in Providing Medical Service for Patients in the Medical Alliance: A Pilot Discrete Choice Experiment

2020 ◽  
Vol 17 (7) ◽  
pp. 2215
Author(s):  
Richard Huan Xu ◽  
Lingming Zhou ◽  
Yong Li ◽  
Dong Wang
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Healthcare Services ◽  
Working Time ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Trade Offs ◽  
Utility Scores

This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital location) and corresponding levels, which were combined to create 24 profiles that were randomly presented to participants. A conditional logit model was then employed to calculate utility scores for all profiles. A total of 311 doctors completed the DCE questionnaire. The coefficients for each level within the three attributes were ordered and found to be statistically significant. Working time had the greatest influence on utility scores, increasing by one hour per week (beta = 1.4, odds ratio (OR) = 4.07, p < 0.001), followed by income, which increased by 30% per month (beta = 1.19, OR = 3.3, p < 0.001). The utility scores for all profiles ranged between −0.27 and 3.07. Findings indicated that participants made trade-offs with respect to providing extra services within their MAs. Furthermore, utility varied between different subpopulations.

scholarly journals Factors Affecting Pharmaceutical Care Implementation by Community Pharmacist: A Discrete Choice Experiment

2018 ◽  
Vol 8 (3) ◽  
pp. 136
Author(s):  
Nia Kurnia Sholihat ◽  
Masita Wulandari Suryoputri ◽  
Ade Martinus
Keyword(s):  
Pharmaceutical Care ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Multinomial Logit Model ◽  
Simple Random Sampling ◽  
Multinomial Logit ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Choice Sets

Even though pharmaceutical care has been proven increasing patients’ quality of life, pharmacists still have barriers to implement it. Our study aims to examine factors affecting pharmacists in the community to implement pharmaceutical care using a Discrete Choice Experiment (DCE). The study was a cross-sectional study. A structured DCE questionnaire was administered to 90 community pharmacists in Banyumas district, Indonesia. Respondents were chosen using a simple random sampling method. According to the literature review and expert opinions, the following six attributes were selected: pharmacists’ confidence; willingness to implement pharmaceutical care; communication skill; knowledge and professional skill; availability of time; and availability of space in pharmacy. Eighteen choice sets were developed. Each choice sets comprised of two scenarios. Respondents were asked to choose the scenario they preferred the most. Data were analyzed using multinomial logit model. Of 90 questionnaires distributed, 67 were analyzed. Based on multinomial logit, all attributes had a significant effect on pharmacists’ preferences to implement pharmaceutical care. The findings suggested that pharmacist association should train their member to increase professional skills, as well as the management of pharmacy should provide enough space to perform pharmaceutical care.

scholarly journals Preferences for Renal Cell Carcinoma Pharmacological Treatment: A Discrete Choice Experiment in Patients and Oncologists

2022 ◽  
Vol 11 ◽  
Author(s):  
Ovidio Fernández ◽  
Martín Lázaro-Quintela ◽  
Guillermo Crespo ◽  
Diego Soto de Prado ◽  
Álvaro Pinto ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Health System ◽  
Cell Carcinoma ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Renal Cell ◽  
Choice Experiment ◽  
Serious Adverse Events ◽  
Cross Sectional ◽  
Survival Gain

IntroductionThe purpose of this investigation was to explore patients’ and oncologists’ preferences for the characteristics of a pharmacological regimen for patients with advanced renal cell carcinoma (aRCC).Material and MethodsCross-sectional observational study based on a discrete choice experiment (DCE) conducted in Spain. A literature review, a focus group with oncologists and interviews with patients informed the DCE design. Five attributes were included: progression survival gain, risk of serious adverse events (SAEs), health-related quality of life (HRQoL), administration mode, and treatment cost. Preferences were analyzed using a mixed-logit model to estimate relative importance (RI) of attributes (importance of an attribute in relation to all others), which was compared between aRCC patients and oncologists treating aRCC. Willingness to pay (WTP, payer: health system) for a benefit in survival or in risk reduction and maximum acceptable risk (MAR) in SAEs for improving survival were estimated from the DCE. Subgroup analyses were performed to identify factors that influence preference.ResultsA total of 105 patients with aRCC (77.1% male, mean age 65.9 years [SD: 10.4], mean time since RCC diagnosis 6.3 years [SD: 6.1]) and 67 oncologists (52.2% male, mean age 41.9 years [SD: 8.4], mean duration of experience in RCC 10.2 years [SD: 7.5]) participated in the study. The most important attribute for patients and oncologists was survival gain (RI: 43.6% vs. 54.7% respectively, p&lt;0.05), followed by HRQoL (RI: 35.5% vs. 18.0%, respectively, p&lt;0.05). MAR for SAEs was higher among oncologists than patients, while WTP (for the health system) was higher for patients. Differences in preferences were found according to time since diagnosis and education level (patients) or length of professional experience (oncologists).ConclusionPatients’ and oncologists’ preferences for aRCC treatment are determined mainly by the efficacy (survival gain) but also by the HRQoL provided. The results of the study can help to inform decision-making in the selection of appropriate aRCC treatment.

scholarly journals Intensive care doctors and nurses personal preferences for Intensive Care, as compared to the general population: a discrete choice experiment

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Matthew H. Anstey ◽  
Imogen A. Mitchell ◽  
Charlie Corke ◽  
Lauren Murray ◽  
Marion Mitchell ◽  
...  
Keyword(s):  
Intensive Care ◽  
General Population ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Prolonged Treatment ◽  
Cross Sectional ◽  
Hypothetical Patient ◽  
Care Assistance ◽  
Doctors And Nurses

Abstract Background To test the hypothesis that Intensive Care Unit (ICU) doctors and nurses differ in their personal preferences for treatment from the general population, and whether doctors and nurses make different choices when thinking about themselves, as compared to when they are treating a patient. Methods Cross sectional, observational study conducted in 13 ICUs in Australia in 2017 using a discrete choice experiment survey. Respondents completed a series of choice sets, based on hypothetical situations which varied in the severity or likelihood of: death, cognitive impairment, need for prolonged treatment, need for assistance with care or requiring residential care. Results A total of 980 ICU staff (233 doctors and 747 nurses) participated in the study. ICU staff place the highest value on avoiding ending up in a dependent state. The ICU staff were more likely to choose to discontinue therapy when the prognosis was worse, compared with the general population. There was consensus between ICU staff personal views and the treatment pathway likely to be followed in 69% of the choices considered by nurses and 70% of those faced by doctors. In 27% (1614/5945 responses) of the nurses and 23% of the doctors (435/1870 responses), they felt that aggressive treatment would be continued for the hypothetical patient but they would not want that for themselves. Conclusion The likelihood of returning to independence (or not requiring care assistance) was reported as the most important factor for ICU staff (and the general population) in deciding whether to receive ongoing treatments. Goals of care discussions should focus on this, over likelihood of survival.

The essential ingredients of research supervision: A discrete-choice experiment.

2019 ◽  
Vol 111 (7) ◽  
pp. 1243-1260 ◽  
Author(s):  
Alex Roach ◽  
Bruce K. Christensen ◽  
Elizabeth Rieger
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Research Supervision

INDIVIDUALS' PREFERENCES FOR ESOPHAGEAL CANCER SCREENING STRATEGIES: A DISCRETE CHOICE EXPERIMENT

2019 ◽  
Author(s):  
Y Peters ◽  
E van Grinsven ◽  
M van de Haterd ◽  
D van Lankveld ◽  
J Verbakel ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Cancer Screening ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Screening Strategies
Sign in / Sign up

Export Citation Format

Share Document