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Speckemeier C, Abels C, Höfer K, Walendzik A, Wasem J, Neusser S. A Best-Worst Scaling Study of the General Population's Preferences for Activities in Living Arrangements for Persons With Dementia. THE PATIENT 2024; 17:121-131. [PMID: 38063993 PMCID: PMC10894109 DOI: 10.1007/s40271-023-00661-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/16/2023] [Indexed: 02/25/2024]
Abstract
BACKGROUND Activity involvement is a central element of dementia care. However, few studies have examined preferences for types of activities for persons who may be in need of care in the future. In this study, a best-worst scaling (BWS) was conducted to gather insights on preferred activities in small-scale living arrangements for dementia in the general population aged 50-65 years from rural and urban regions. METHODS BWS tasks were developed based on literature searches and focus groups. The final BWS contains ten activities, namely 'interaction with animals', 'gardening', 'painting, handicrafts, manual activities', 'household activities (e.g., folding laundry, cooking)', 'watching television', 'practicing religion', 'listening to music and singing familiar songs', 'conversations about the past', 'walks and excursions', 'sport activities (e.g., gymnastics)'. Each participant had to fill out subsets of four objects each and identify them as best and worst. A postal survey was sent to a total of 4390 persons from rural and urban regions aged between 50 and 65 years. Results were analyzed by count analysis and logit models. It was examined if preferences differ with respect to gender, religiousness, and informal caregiving experience. RESULTS A total of 840 questionnaires were returned, and 627 surveys were included in the analysis. In the rural sample, the highest relative importance (RI) was assigned to 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 56%), 'gardening' (RI: 28%), and 'interaction with animals' (26%). In the urban sample, 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 37%), 'interaction with animals' (25%) and 'gardening' (RI: 22%) were perceived as most important. In both groups, household activities and practicing religion were of lowest importance. Importance ranks differed between subgroups. Results of the logit models with random effects showed the same order as results from the count analyses. DISCUSSION Our findings show that respondents generally favored activities with an outdoor component, while the household activities that are part of many concepts were of low importance to respondents. Thus, our study can inform the design of a preference-based specific range of activities in small-scale living arrangements for dementia.
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Affiliation(s)
- Christian Speckemeier
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany.
| | - Carina Abels
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany
| | - Klemens Höfer
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany
| | - Anke Walendzik
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany
| | - Jürgen Wasem
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany
| | - Silke Neusser
- Institute for Healthcare Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, 45127, Essen, Germany
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Hall NY, Le L, Abimanyi-Ochom J, Mihalopoulos C. Measuring the importance of different barriers to opioid agonist treatment using best-worst scaling in an Australian setting. Health Policy 2023; 138:104939. [PMID: 37949002 DOI: 10.1016/j.healthpol.2023.104939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE Opioid agonist treatment (OAT) is an effective treatment for opioid use disorder (OUD), however several client barriers to OAT are reported. Client importance of these barriers using economic preference elicitation measures have not been identified. This paper determines the most important OAT barriers using best-worst scaling (BWS) and compares the results of BWS to Likert scale. METHODS Cross-sectional self-completed survey with 191 opioid dependent clients who attended Australian needle and syringe sites. Participants were presented 15 Likert scale barriers and 15 BWS barrier scenarios. The BWS data was presented using count analysis, multinomial logit and mixed logit models. The ranking of barrier items was completed using three BWS methods and one Likert scale method, with share preference results (BWS) or mean scores (Likert) used to rank the 15 barriers. RESULTS The most important client barriers were 'enjoy using opioids', 'lack of support services' and 'hard to access'. The four ranking methods produced different barrier rankings for the most important barriers, but similar results for the least important barriers. CONCLUSION Policies around OAT as a harm reduction approach, increased support services and increased availability of OAT services would be beneficial in improving OAT uptake. Comparing BWS and Likert methods produced different highest ranked barriers, indicating the method used to identify preferences has significant implications on the type of intervention prioritised.
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Affiliation(s)
| | - Long Le
- Public Health and Preventative Medicine, Monash University, Australia
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Chejarla KC, Vaidya OS, Kumar S. MCDM
applications in logistics performance evaluation: A literature review. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS 2021. [DOI: 10.1002/mcda.1774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | | | - Sushil Kumar
- Operations Management Indian Institute of Management Lucknow India
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Abstract
This study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what selection attributes are to be considered. The subsequent study supports the technology selection process by identifying and measuring relevant selection attributes to facilitate the adoption of e-mobility in this domain. For the purpose of this study, a multi-method research approach that combines qualitative and quantitative elements was applied. In the first step, results of a systematic search for attributes in literature were combined with inputs gained from unstructured expert interviews and discussions. The perceived importance of the identified selection attributes was then measured by analyzing survey data of 341 rescue workers using the best-worst scaling methodology. Finally, the results were reiterated in another expert discussion to assess their overall validity. Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel. Surprisingly, economic and sustainability aspects are less of an issue in the process of technology selection.
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Gao TG, Huang M, Wang Q, Wang XW. Dynamic organization model of automated negotiation for 3PL providers selection. Inf Sci (N Y) 2020. [DOI: 10.1016/j.ins.2020.03.086] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Premkumar P, Gopinath S, Mateen A. Trends in third party logistics – the past, the present & the future. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2020. [DOI: 10.1080/13675567.2020.1782863] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Prashant Premkumar
- Quantitative Methods and Operations Management Area, Indian Institute of Management Kozhikode, Kozhikode, India
| | - Saji Gopinath
- Quantitative Methods and Operations Management Area, Indian Institute of Management Kozhikode, Kozhikode, India
| | - Arqum Mateen
- Quantitative Methods and Operations Management Area, Indian Institute of Management Kozhikode, Kozhikode, India
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Abdel-Basset M, Mohamed R, Zaied AENH, Gamal A, Smarandache F. Solving the supply chain problem using the best-worst method based on a novel Plithogenic model. OPTIMIZATION THEORY BASED ON NEUTROSOPHIC AND PLITHOGENIC SETS 2020:1-19. [DOI: 10.1016/b978-0-12-819670-0.00001-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Cheung KL, Mayer S, Simon J, de Vries H, Evers SMAA, Kremer IEH, Hiligsmann M. Comparison of statistical analysis methods for object case best-worst scaling. J Med Econ 2019; 22:509-515. [PMID: 30482068 DOI: 10.1080/13696998.2018.1553781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Aims: Different methods have been used to analyze "object case" best-worst scaling (BWS). This study aims to compare the most common statistical analysis methods for object case BWS (i.e. the count analysis, multinomial logit, mixed logit, latent class analysis, and hierarchical Bayes estimation) and to analyze their potential advantages and limitations based on an applied example. Methods: Data were analyzed using the five analysis methods. Ranking results were compared among the methods, and methods that take respondent heterogeneity into account were presented specifically. A BWS object case survey with 22 factors was used as a case study, tested among 136 policy-makers and HTA experts from the Netherlands, Germany, France, and the UK to assess the most important barriers to HTA usage. Results: Overall, the five statistical methods yielded similar rankings, particularly in the extreme ends. Latent class analysis identified five clusters and the mixed logit model revealed significant preference heterogeneity for all, with the exception of three factors. Limitations: The variety of software used to analyze BWS data may affect the results. Moreover, this study focuses solely on the comparison of different analysis methods for the BWS object case. Conclusions: The most common statistical methods provide similar rankings of the factors. Therefore, for main preference elicitation, count analysis may be considered as a valid and simple first-choice approach. However, the latent class and mixed logit models reveal additional information: identifying latent segments and/or recognizing respondent heterogeneity.
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Affiliation(s)
- Kei Long Cheung
- a Department of Health Services Research , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
- b Department of Health Promotion , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
- c Department of Health Economics , Center for Public Health, Medical University of Vienna , Austria
| | - Susanne Mayer
- c Department of Health Economics , Center for Public Health, Medical University of Vienna , Austria
| | - Judit Simon
- c Department of Health Economics , Center for Public Health, Medical University of Vienna , Austria
- d Ludwig Boltzmann Institute Applied Diagnostics , Vienna , Austria
| | - Hein de Vries
- b Department of Health Promotion , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
| | - Silvia M A A Evers
- a Department of Health Services Research , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
- e Trimbos Institute, Netherlands Institute of Mental Health and Addiction , Centre for Economic Evaluation Utrecht , The Netherlands
| | - Ingrid E H Kremer
- a Department of Health Services Research , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
| | - Mickaël Hiligsmann
- a Department of Health Services Research , Care and Public Health Research Institute (CAPHRI), Maastricht University , The Netherlands
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Goldsby TJ, Zinn W, Closs DJ, Daugherty PJ, Stock JR, Fawcett SE, Waller M. Reflections on 40 Years of theJournal of Business Logistics: From the Editors. JOURNAL OF BUSINESS LOGISTICS 2019. [DOI: 10.1111/jbl.12208] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Aharonovitz MCS, Vidal Vieira JG, Suyama SS. How logistics performance is affected by supply chain relationships. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT 2018. [DOI: 10.1108/ijlm-09-2016-0204] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to evaluate the effect of logistics collaboration, meetings, relationship history, and supplier selection on the logistics performance of shippers, carriers, and logistics services providers. Rather than focusing on collaboration and performance, the research provides a wide analysis of how logistics collaboration and performance interact with other organizational practices.
Design/methodology/approach
To investigate the interaction among the constructs, the authors proposed a structural equation model to understand the influence of meetings, relationship history, supplier selection, and collaboration on logistics performance. The data were obtained through a survey of 199 managers of Brazilian companies in the retail sector.
Findings
Supplier selection has the strongest effect on logistics collaboration, and relationship history has the strongest effect on logistics performance. Rather than meetings and operational features, the elements of interpersonal skills, organizational culture, and communication appear to be the most important contributors to logistics performance achievements; relationship history leads to better performance.
Originality/value
This study contributes to our understanding of how and with whom to collaborate by highlighting the relationships among supplier selection, relationship history, meetings, and logistics collaboration and logistics performance.
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Gao H, Yang J, Yin H, Ma Z. The impact of partner similarity on alliance management capability, stability and performance. INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT 2017. [DOI: 10.1108/ijpdlm-09-2016-0263] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to investigate significant impact of partner similarity on the success of horizontal alliances in logistics service providers (LSPs) from China.
Design/methodology/approach
Primary data were collected via questionnaire distribution to 380 Chief Executive Officers and Managing Directors in 262 small and medium logistics enterprises in China. There are 316 valid questionnaires for further analysis with 83 percent accuracy in response rate. Structural equation modeling was used to test the impact of partner similarity on alliance management capability, stability and performance.
Findings
Partner similarity and logistics alliance management capability (LAMC) are positively correlated to alliance stability and performance in horizontal alliances among Chinese LSPs, especially competence similarity and cultural similarity. Moreover, alliance stability mediates the impact of partner similarity and LAMC on alliance performance.
Research limitations/implications
The basic limitation of this research is to collect data just from small and medium logistics enterprises that operate in China with sample size (n=316). This research could further be extended to other regions in China or other countries.
Practical implications
This research verifies the positive relationship between partner fit and management capability. Besides, based on research findings, the research proposes guidelines for LSPs pursuing horizontal alliances
Originality/value
This research proposes an experimental model for Chinese LSPs to cooperate successfully and build horizontal alliances in order to increase their effective customer response capability.
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Miller JW. A Multivariate Time-Series Examination of Motor Carrier Safety Behaviors. JOURNAL OF BUSINESS LOGISTICS 2017. [DOI: 10.1111/jbl.12162] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China. SUSTAINABILITY 2017. [DOI: 10.3390/su9061066] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Mühlbacher AC, Kaczynski A, Zweifel P, Johnson FR. Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview. HEALTH ECONOMICS REVIEW 2016; 6:2. [PMID: 26743636 PMCID: PMC4705077 DOI: 10.1186/s13561-015-0079-x] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 12/18/2015] [Indexed: 05/20/2023]
Abstract
Best-worst scaling (BWS), also known as maximum-difference scaling, is a multiattribute approach to measuring preferences. BWS aims at the analysis of preferences regarding a set of attributes, their levels or alternatives. It is a stated-preference method based on the assumption that respondents are capable of making judgments regarding the best and the worst (or the most and least important, respectively) out of three or more elements of a choice-set. As is true of discrete choice experiments (DCE) generally, BWS avoids the known weaknesses of rating and ranking scales while holding the promise of generating additional information by making respondents choose twice, namely the best as well as the worst criteria. A systematic literature review found 53 BWS applications in health and healthcare. This article expounds possibilities of application, the underlying theoretical concepts and the implementation of BWS in its three variants: 'object case', 'profile case', 'multiprofile case'. This paper contains a survey of BWS methods and revolves around study design, experimental design, and data analysis. Moreover the article discusses the strengths and weaknesses of the three types of BWS distinguished and offered an outlook. A companion paper focuses on special issues of theory and statistical inference confronting BWS in preference measurement.
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Affiliation(s)
- Axel C Mühlbacher
- IGM Institute for Health Economics and Health Care Management, Hochschule Neubrandenburg, Neubrandenburg, Germany.
| | - Anika Kaczynski
- IGM Institute for Health Economics and Health Care Management, Hochschule Neubrandenburg, Neubrandenburg, Germany.
| | - Peter Zweifel
- Department of Economics, University of Zürich, Zürich, Switzerland.
| | - F Reed Johnson
- Center for Clinical and Genetic Economics, Duke Clinical Research Institute, Duke University, Durham, USA.
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Loureiro ML, Rahmani D. The incidence of calorie labeling on fast food choices: A comparison between stated preferences and actual choices. ECONOMICS AND HUMAN BIOLOGY 2016; 22:82-93. [PMID: 27037499 DOI: 10.1016/j.ehb.2016.03.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 02/26/2016] [Accepted: 03/01/2016] [Indexed: 06/05/2023]
Abstract
In order to test the effect of calorie information on fast food choices, we conducted a questionnaire employing two types of stated preferences methods (the best-worst-scaling and intentional questions) and a follow-up randomized field experiment in a sample of 119 participants. This combined approach allowed us to test the internal validity of preferences for fast food meals across elicitation scenarios. The results showed that calorie information reduces the probability of selecting high calorie meals only in the questionnaire, while it did not have any significant impact on actual purchasing behavior in the field experiment. Thus, the findings show that there is a clear difference between the role of calorie information on immediate stated preference choices, and the relatively low level of responsiveness in real choices in a restaurant. We believe that the current results are quite suggestive, indicating the limits of predicting actual fast food behavior, and may open the way to using data sources that combine stated methods with field experiments.
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Affiliation(s)
- Maria L Loureiro
- Departamento de Fundamentos da Análise Económica, Universidade Santiago de Compostela, Spain.
| | - Djamel Rahmani
- Departamento de Fundamentos da Análise Económica, Universidade Santiago de Compostela, Spain.
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Lahtinen V, Rundle-Thiele S, Adamsen JM. Willingness to pay for midwife-endorsed product: An Australian best-worst study. Health Mark Q 2016; 33:1-14. [PMID: 26950535 DOI: 10.1080/07359683.2016.1131576] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
This article examined the impact of midwife endorsement on stated choice preferences in one of the highest volume baby care product categories, diapers. An online survey was conducted testing 12 alternatives of which six were midwife endorsed. A total of 215 responses were analyzed using best-worst and multinomial logit modeling. Results indicate that package size, price, and brand are more sensitive predictors of stated choice preferences than midwife endorsement. Respondents were willing to pay 2.3% more for a diaper that was endorsed by midwives. These findings suggest that midwife endorsement should be pursued by health marketers.
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Affiliation(s)
- Ville Lahtinen
- a Social Marketing @ Griffith, Population and Social Health Research Program , Griffith University, Nathan Campus , Queensland , Australia
| | - Sharyn Rundle-Thiele
- a Social Marketing @ Griffith, Population and Social Health Research Program , Griffith University, Nathan Campus , Queensland , Australia
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Mühlbacher AC, Kaczynski A, Zweifel P. Experimentelle Präferenzmessung im Gesundheitswesen mit Hilfe von Best-Worst Scaling (BWS). ACTA ACUST UNITED AC 2014. [DOI: 10.1007/s40275-014-0012-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Alike or not? Partner similarity and its outcome in horizontal cooperations between logistics service providers. LOGISTICS RESEARCH 2013. [DOI: 10.1007/s12159-013-0106-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Min H, DeMond S, Joo S. Evaluating the comparative managerial efficiency of leading third party logistics providers in North America. BENCHMARKING-AN INTERNATIONAL JOURNAL 2013. [DOI: 10.1108/14635771311299498] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Eliciting expert opinion on the effectiveness and practicality of interventions in the farm and rural environment to reduce human exposure to Escherichia coli O157. Epidemiol Infect 2011; 140:643-54. [DOI: 10.1017/s0950268811001257] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
SUMMARYFew hard data are available on emergent diseases. However, the need to mitigate and manage emergent diseases has prompted the use of various expert consultation and opinion elicitation methods. We adapted best-worst scaling (BWS) to elicit experts' assessment of the relative practicality and effectiveness of measures to reduce human exposure to E. coli O157. Cattle vaccination was considered the most effective and hand-washing was considered the most practical measure. BWS proved a powerful tool for expert elicitation as it breaks down a cognitively burdensome process into simple, repeated, tasks. In addition, statistical analysis of the resulting data provides a scaled set of scores for the measures, rather than just a ranking. The use of two criteria (practicality and effectiveness) within the BWS process allows the identification of subsets of measures judged as potentially performing well on both criteria, and conversely those judged to be neither effective nor practical.
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ANDERSON EDWARDJ, COLTMAN TIM, DEVINNEY TIMOTHYM, KEATING BYRON. WHAT DRIVES THE CHOICE OF A THIRD-PARTY LOGISTICS PROVIDER? JOURNAL OF SUPPLY CHAIN MANAGEMENT 2011. [DOI: 10.1111/j.1745-493x.2011.03223.x] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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