Academic Papers - SurveyEngine GmbH

Academic Papers

Below are a selection of academic papers where SurveyEngine was a key contributor or provided fieldwork management and technology.

2023

Jansen, A. J. G., McDonald, V., Newland, A., Morgan, M., Bastiaanse, M., Wilson, K., Eriksson, D., Geldman, E., Daykin-Pont, O., Prince, S. & Zwaginga, J. J. (2023). Patient preferences and experiences regarding thrombopoietin-receptor agonists for immune thrombocytopenia in The Netherlands (TRAPeze Netherlands study), Hematology, 28:1, DOI: 10.1080/16078454.2023.2267942.

Lucchesi, A., Lovrencic, B., McDonald, V., Newland, A., Morgan, M., Eriksson, D., Wilson, K., Giordano, G.,  Carli, G., Geldman, E., Daykin-Pont, O., Prince, S. & Napolitano, M. (2023). Treatment preferences towards thrombopoietin-receptor agonists for immune thrombocytopenia and experience of disease (TRAPeze): Italy cohort, Hematology, 28:1, DOI: 10.1080/16078454. 2023.2253069.

Lehmann, J., Pilz, M. J., Holzner, B. et al. General population normative data from seven European countries for the K10 and K6 scales for psychological distress, 20 April 2023, PREPRINT (Version 1) available at Research Square.[https://doi.org/10.21203/rs.3.rs-2741992/v1]

Hettiarachchi, R. M., Kularatna, S., Byrnes, J., Mulhern, B., Chen, G., Scuffham, P. A. Valuing the Dental Caries Utility Index in Australia. Medical Decision Making. 2023;43(7-8):901-913. doi:10.1177/0272989X231197149

Barthold, D., Saldarriaga, E. M., Brah, A. T., Hauber, B., Banerjee, P., Fuller, S. M.; McCaslin, D., Moldoveanu, A. M., Marconi, V. C., Simoni, J. M., Graham, S. M. Preference for daily oral pills over long-acting antiretroviral therapy options among people with HIV. AIDS 37(10):p 1545-1553, August 1, 2023. | DOI: 10.1097/QAD.0000000000003620

Yin, H., Cherchi, E., & Nettle, D. 2023. Living in a City Where Automated Taxis are Operating and Using Them: Does This Affect Consumers’ Preferences? Transportation Research Record, 0(0). https://doi.org/10.1177/03611981231155181

Savira, F., Robinson, S., Toll, K., Spark, L., Thomas, E., Nesbitt, J., et al. 2023. Consumer preferences for telehealth in Australia: A discrete choice experiment. PLoS ONE 18(3): e0283821. https://doi.org/10.1371/journal.pone.0283821

Campolong, K. 2023. References of Coastal Resilient Design Interventions to Protect Residential Landscapes Against Coastal Hazards. A Thesis Submitted to the Graduate Faculty of The University of Georgia in Partial Fulfillment of the Requirements for the Degree.

Xu, R. H., Wong, E. L., Luo, N., Norman, R., Lehmann, J., Holzner, B., King, M. T., Kemmler, G. 2023. The EORTC QLU‑C10D: The Hong Kong Valuation Study. The European Journal of Health Economics. · September 2023 https://doi.org/10.1007/s10198-023-01632-4

Fuat, A., Ako, E., Hargroves, D., Holden, D., Caleyachetty, A., Carter, M., Harris, J., Roberts, C., Nzeakor, N., Vardar B., Williams. H. 2023. Inappropriate dosing of direct oral anticoagulants: findings from a clinical vignette study and physician survey. Journal of Market Access & Health Policy, 11:1, DOI: 10.1080/20016689.2023.2267327

Alten, R., Nieto González, J. C., Jacques, P. et al, 2023. What Trade-Offs are Acceptable to Rheumatoid Arthritis Patients During Treatment Selection? Annals of the Rheumatic Diseases 2023. 83. 571-572.

Simons, G., Veldwijk, J., DiSantostefano, R. L., Englbrecht, M., Radawski, C., Bywall, K. S., Méndez, L. V., Hauber, B., Raza, K., Falahee, M. Preferences for preventive treatments for rheumatoid arthritis: discrete choice survey in the UK, Germany and Romania, Rheumatology, Volume 62, Issue 2, February 2023, Pages 596–605, https://doi.org/10.1093/rheumatology/keac397

EFTEC. 2023. Water Resources South East (WRSE). Customer Research Regional Plan Preferences Thames Water Summary Report

Solvi Hoen, F., Díez-Gutiérrez, M., Babri, S. et al. Charging electric vehicles on long trips and the willingness to pay to reduce waiting for charging. Stated preference survey in Norway, 2023. Transportation Research Part A: Policy and Practice, 175. 103774. ISSN 0965-8564.https://doi.org/10.1016/j.tra.2023.103774

Benson, J., Wolfson, D., van den Broek-Altenburg, E. Tradeoffs in Triage of Motor Vehicle Trauma by Rural 911 Emergency Medical Services Practitioners Medical Decision Making. 2023;43(3):311-324. doi:10.1177/0272989X221145677

Thai, T., Bliemer, M., Chen, G., Spinks, J., de New, S., & Lancsar, E. (2023). Comparison of a full and partial choice set design in a labeled discrete choice experiment. Health Economics, 1–XXX. https://doi.org/10.1002/hec.4666

De Jong, L., Schmidt, T., Carstens, A. K. et al. The impact of different care dependencies on people’s willingness to provide informal care: a discrete choice experiment in Germany. Health Econ Rev 13, 35 (2023). https://doi.org/10.1186/s13561-023-00448-5

Erhardt, J. (2023). The democratic personality? The big five, authoritarianism and regime preference in consolidated democracies.Politics, 0(0). https://doi.org/10.1177/02633957231172056

Erhardt, J., Freitag, M. & Filsinger, M. (2023) Leaving democracy? Pandemic threat, emotional accounts and regime support in comparative perspective, West European Politics, 46:3, 477-499, DOI: 10.1080/01402382.2022.2097409

Wang, B., Waygood, E. O. D., Xun, J., Naseri, H., Loiselle, A. L., Daziano, R. A., Patterson, Z. & Feinberg, M. (2023). How to effectively communicate about greenhouse gas emissions with different populations. Environmental Science & Policy. 147. 29-43. 10.1016/j.envsci.2023.05.015. https://doi.org/10.1016/j.envsci.2023.05.015

Jiang, R., Pullenayegum, E., Shaw, J. W., et al. Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents. Medical Decision Making. 2023;43(6):667-679. doi:10.1177/0272989X231171912

Pan S. W., Fairley, C. K., Chow, E. P. F., Zhang, Y., Tieosapjaroen, W., Lee, D. & Ong, J. J. (2023) Supernatural beliefs, religious affiliations, and HIV testing among recently arrived Asian-born men who have sex with men in Australia, AIDS Care, 35:9, 1285-1290, DOI: 10.1080/09540121.2023.2179012

Ung, M., Martin, S., Terris-Prestholt, F., Quaife, M., Tieosapjaroen, W., Phillips, T., Lee, D., Chow, E. P.F., Medland, N., Bavinton, B. R., Pan, S.W., Mao, L., Ong, J. J. Preferences for HIV prevention strategies among newly arrived Asian-born men who have sex with men living in Australia: A discrete choice experiment. Front Public Health. 2023 Mar 13;11:1018983. doi: 10.3389/fpubh.2023.1018983.

Smith, I.P., Whichello, C.L., de Bekker-Grob, E.W. et al. The Impact of Video-Based Educational Materials with Voiceovers on Preferences for Glucose Monitoring Technology in Patients with Diabetes: A Randomised Study. Patient 16, 223–237 (2023). https://doi.org/10.1007/s40271-022-00612-9

Smith, I. P., Whichello, C. L., Veldwijk, J., et al. Diabetes patient preferences for glucose-monitoring technologies: results from a discrete choice experiment in Poland and the Netherlands. BMJ Open Diabetes Research and Care 2023;11:e003025. doi: 10.1136/bmjdrc-2022-003025

Rangi, P., Marra, C., Scahill, S., Anwar, M. Impact of Promotional Videos on Public Perception of Pharmacy Services. Journal of Pharmacy Practice. 2023;0(0). doi:10.1177/08971900231177201

Veldwijk, J., DiSantostefano, R.L., Janssen, E. et al. Maximum Acceptable Risk Estimation Based on a Discrete Choice Experiment and a Probabilistic Threshold Technique. Patient 16, 641–653 (2023). https://doi.org/10.1007/s40271-023-00643-w

Norman, R., Mulhern, B., Lancsar, E. et al. 2023. The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for AustraliaPharmacoEconomics (2023). https://doi.org/10.1007/s40273-023-01243-0

Turner, A., Wolvaardt, J., Ryan, M. Exploring doctors’ trade-offs between management, research and clinical training in the medical curriculum: a protocol for a discrete choice experiment in Southern Africa. BMJ Open 2023;13:e070836. doi: 10.1136/bmjopen-2022-070836

Whichello, C., Smith, I., Veldwijk, J., de Wit, G. A., Rutten- van Molken, M. P. M. H., de Bekker-Grob, E. W. (2023) Discrete choice experiment versus swing-weighting: A head-to-head comparison of diabetic patient preferences for glucose-monitoring devices. PLoS ONE 18(7): e0283926. https://doi.org/10.1371/journal.pone.0283926

De Jong, L., Schmidt, T., Stahmeyer, J. T., Eberhard, S., Zeidler, J., Damm, K. Informelle Pflege und Berufstätigkeit: Einflussfaktoren auf die Bereitschaft [Informal care and occupation: Factors influencing the willingness to provide care]. Z Evid Fortbild Qual Gesundhwes. 2023 May;178:29-36. German. doi: 10.1016/j.zefq.2023.01.008.

Filsinger, M., Hofstetter, N., & Freitag, M. (2023). The emotional fabric of populism during a public health crisis: How anger shapes the relationship between pandemic threat and populist attitudes. European Political Science Review, 15(4), 523-541. doi:10.1017/S1755773923000036

Graham, S.M., Barthold, D., Hauber, B., Brah, A.T., Saldarriaga, E., Collier, A.C., Ho, R.J.Y., , Marconi, V.C. and Simoni, J.M. (2023), U.S. patient preferences for long-acting HIV treatment: a discrete choice experiment. J Int AIDS Soc., 26: e26099. https://doi.org/10.1002/jia2.26099

Freitag, M., Hofstetter, N. Pandemic personality: Emotional reactions, political and social preferences across personality traits in times of Corona. Curr Psychol 42, 17359–17373 (2023). https://doi.org/10.1007/s12144-021-02493-x

Manipis, K. (2023). The relationship between health and productivity: implications for health policy (Doctoral dissertation, University of Technology Sydney (Australia)).

Schulz, R., Watson, V., & Wersing, M. (2023). Teleworking and housing demand. Regional Science and Urban Economics, 103915.

Anders, S., Meyerhoff, J., Liebe, U. Cross-border CO2 Transport Decreases Public Support for Carbon Capture and Storage, 12 October 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3405741/v1]

Futtrup, R. & Grunert, K. G. (2023) Does organic labelling affect restaurant choice? A study on the Danish Organic Cuisine Label, Scandinavian Journal of Hospitality and Tourism, 23:1, 29-50, DOI: 10.1080/15022250.2023.2174180

Dvorak, F., Glenk, K., Logar, I. & Meyerhoff, J. Cognitive Models of Bayesian Anchoring in Discrete Choice Experiments (May 1, 2023). Available at SSRN: https://ssrn.com/abstract=4473059 or http://dx.doi.org/10.2139/ssrn.4473059

Cranenburgh, S. & Garrido-Valenzuela, F. (2023). Computer vision-enriched discrete choice models, with an application to residential location choice. https://doi.org/10.48550/arXiv.2308.08276

Essers, B., Wang, P., Stolk, E., Jonker, M. F., Evers, S., Joore, M., Dirksen, C. An investigation of age dependency in Dutch and Chinese values for EQ-5D-Y. Front Psychol. 2023 Oct 3;14:1175402. doi: 10.3389/fpsyg.2023.1175402.

Fischer, A., Mühlbacher, A. C. Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment. JMIR Res Protoc 2023;12:e46056 doi: 10.2196/46056

Anderson, J. E., Bergfeld, M., Nguyen, D. M. & Steck, F. (2023) Real-world charging behavior and preferences of electric vehicles users in Germany International Journal of Sustainable Transportation, 17:9, 1032-1046, DOI: 10.1080/15568318.2022.2147041

Gelhorn, H. L., Osumili, B., Brown, K., Ross, M. M., Schulz, A., Fernandez, G., Boye, K. S. The Impact of Substantial Improvements in HbA1c and Weight Loss on the Medication Preferences of People with Type 2 Diabetes. Patient Prefer Adherence. 2023 Mar 22;17:793-805. doi: 10.2147/PPA.S401465.

Gelhorn, H. L., Osumili, B., Brown, K., Ross, M. M., Schulz, A., Fernandez, G. & Boye, K. S. (2023) The Impact of Substantial Improvements in HbA1c and Weight Loss on the Medication Preferences of People with Type 2 Diabetes, Patient Preference and Adherence, 17:, 793-805, DOI: 10.2147/PPA.S401465

Alten, R., Nieto González, J. C., Jacques, P., et al. POS0600-HPR What trade-offs are acceptable to rheumatoid arthritis patients during treatment selection? Annals of the Rheumatic Diseases 2023;82:571-572.

Poulos, C., Xu, Y., Botha, W., Leach, C., Wrobleski, K. K., Gordon, K., Missmer, S. A., & Estes, S. J. (2023) A discrete-choice experiment study of physicians’ prioritization of attributes of medical treatments for endometriosis-associated pain, Expert Review of Pharmacoeconomics & Outcomes Research, 23:1, 111-121, DOI: 10.1080/14737167.2023.2152006

King, M.T., Revicki, D.A., Norman, R. et al. 2023. United States Value Set for the Functional Assessment of Cancer Therapy-General Eight Dimensions (FACT-8D), a Cancer-Specific Preference-Based Quality of Life Instrument. PharmacoEconomics Open (2023). https://doi.org/10.1007/s41669-023-00448-5

2022

Louis, E., Siegel, C. A., James, B., Heidenreich, S., Krucien, N., Ghosh, S. 2022 Patients with Inflammatory Bowel Disease Have Heterogeneous Treatment Preferences That Are Largely Determined by the Avoidance of Abdominal Pain and Side Effects [P-POWER IBD Study]Journal of Crohn’s and Colitis, jjac130, https://doi.org/10.1093/ecco-jcc/jjac130

Barthold, D., Brah, A. T., Graham, S.M. et al. 2022. Improvements to Survey Design from Pilot Testing a Discrete-Choice Experiment of the Preferences of Persons Living with HIV for Long-Acting Antiretroviral Therapies. Patient 15, 513–520 (2022). https://doi.org/10.1007/s40271-022-00581-z

Raghunandan, R., Howard, K., Marra, C. A. et al. 2022. Identifying New Zealand Public Preferences for Pharmacist Prescribers in Primary Care: A Discrete Choice Experiment. Patient 15, 77–92 (2022). https://doi.org/10.1007/s40271-021-00529-9

Grunert, K. G., Futtrup, R. (2022) Does Organic Labelling Affect Restaurant Choice? A Study on the Danish Organic Cuisine Label. Annual Meeting, July 31-August 2, Anaheim, California from Agricultural and Applied Economics Association

Seo, J., Heidenreich, S., Aldalooj, E. et al. 2022. Patients’ Preferences for Connected Insulin Pens: A Discrete Choice Experiment Among Patients with Type 1 and Type 2 Diabetes. Patient. https://doi.org/10.1007/s40271-022-00610-x

Merkert, R., Bliemer, M., M. Fayyaz. 2022 Consumer preferences for innovative and traditional last-mile parcel delivery. International Journal of Physical Distribution & Logistics Management, 2022. https://ses.library.usyd.edu.au/handle/2123/28556.

Vass, C., Boeri, M., Karim, S., Marshall, D., Craig, B., Ho, K. A., Mott, D., Ngorsuraches, S., Badawy, S. M., Mühlbacher, A., Gonzalez, J. M., Heidenreich, S., Accounting for Preference Heterogeneity in Discrete-Choice Experiments: An ISPOR Special Interest Group Report. ISPOR REPORT volume 25, issue5, P685-694, MAY 01, 2022 doi.org/10.1016/j.jval.2022.01.012

Rowen, D., Powell, P. A., Hole, R. A., Aragon, M. J., Castelli, A., Jacobs, R. 2022. Valuing quality in mental healthcare: A discrete choice experiment eliciting preferences from mental healthcare service users, mental healthcare professionals and the general population. https://doi.org/10.1016/j.socscimed.2022.114885. Social Science & Medicine, Volume 301, 2022, 114885, ISSN 0277-9536.

Mitchell, B. D., Rentz, A. M., Kummer, S., Yan, Y., Heidenreich, S., Krucien, N., Artime, E., Osumili, B., Rubio, M., & Gelhorn, H. L. 2022. People With Diabetes and Caregivers Prefer Rescue Glucagon Treatment With a Wider Storage Temperature Range and a Nasal Administration When Efficacy is Similar: A Discrete Choice Experiment in Spain. Journal of Diabetes Science and Technology. https://doi.org/10.1177/19322968221095882

Rowen, D., Wickramasekera, N., Hole, A. R., Keetharuth, A., Wailoo, A. 2022. A Discrete Choice Experiment to Elicit General Population Preferences Around the Factors Influencing the Choice to Make Clinical Negligence Claims. Value in Health, April 05, 2022. https://doi.org/10.1016/j.jval.2022.01.020

Wells, I., Simons, G., Stack, R., Mallen, C., Nightingale. P., Raza. K., Falahee. J. 2022. OP0264-HPR Perspectives on Approaches to Predict the Development of Rheumatoid Arthititis: A Quantitative Assessment of Patients and Their First Degree Relatives. Annals of the Rheumatic Diseases 2020;79:165-166. http://dx.doi.org/10.1136/annrheumdis-2020-eular.2175

McLeodac, C., Woodde, J., Mulrennanef, S., Moreye, S., Schultz, A., Messera, M., Spaapen, K., Wui, Y., Mascaro, S., Smyth, A. J., Blyth, C. C., Webb, S., Snelling, T. S., Norman, R. 2022. Preferred health outcome states following treatment for pulmonary exacerbations of cystic fibrosis. Journal of Cystic Fibrosis, 2022. https://doi.org/10.1016/j.jcf.2021.11.010

Rogers, H. J., Sagebiel, J., Marshman, Z., Rodd, H. D., Rowen, D. 2022. Adolescent valuation of CARIES-QC-U: a child-centred preference-based measure of dental caries. Health Qual Life Outcomes. 2022 Feb 3; 20(1):18. doi: 10.1186/s12955-022-01918-w.

Heidenreich, S., Seo, J., Aldalooj, E., Poon, J.L., Spaepen, E., Eby, E. & Newson, R. – January 2022 POSB372 Patients’ Preferences for Connected Insulin Pens: A Discrete Choice Experiment Among Diabetes Patients in the UK and US https://doi.org/10.1016/j.jval.2021.11.1139

Ayyagari, R., Goldschmidt, D., Zhou, M., Ribalov, R., Caroff, S. N. & Leo, S. 2022 Defining utility values for patients with tardive dyskinesia. https://doi.org/10.1080/03007995.2021.2022918

AlHarbi, O., Farsakh, N. A., Al-Awadhi, A., Al-Taweel, T., Mikhail, I., Batwa, F., Bedran, K., Balkan, D., Cappelleri, J. C., Boeri, M., Habjoka, S., Mosli, M. 2022. Patient preferences for ulcerative colitis treatment in the middle east region: results from a discrete-choice experiment. Poster presented at the 2022 Digestive Disease Week; May 21, 2022. San Diego, CA.

Barbati, M. et. al, 2022. Socio-economic outcomes among long-term childhood acute lymphoblastic leukaemia survivors enrolled between 1971 and 1998 in EORTC CLG studies: Results of the 58LAE study. Special Issue: Themed section on Integrated Palliative Cancer Care. Volume31, Issue6

Sachera, P., Meyerhoff, J., Mayer, M. 2022. Evidence of the association between deadwood and forest recreational site choices. Forest Policy and Economics
Volume 135, February 2022, 102638

Mercieca-Bebber, R., Campbell, R., Fullerton, D.J. et al. 2022. Health-related quality of life of Australians during the 2020 COVID-19 pandemic: a comparison with pre-pandemic data and factors associated with poor outcomes. Qual Life Res (2022). https://doi.org/10.1007/s11136-022-03222-y

Yin, H., Cherchi, E. 2022. Willingness to pay for automated taxis: a stated choice experiment to measure the impact of in-vehicle features and customer reviews. Transportation (2022). https://doi.org/10.1007/s11116-022-10319-3

Ji, X., Waygood, E. O. D., Wang, B., Naseri, H., Loiselle, A., Daziano, R., Patterson, Z., Feinberg, M., Exploring the Effects of New Framing Techniques for Greenhouse Gas Emissions. Available at SSRN: https://ssrn.com/abstract=4137231 or http://dx.doi.org/10.2139/ssrn.4137231

Van Til, J., Warta, S., Spentzouris, G., Lamparter, M., Groothuis-Oudshoorn, K., von Birgelen, C. Physician Preferences in Prescribing Oral Anticoagulation Therapy in Elderly Non-Valvular Atrial Fibrillation Patients with Comorbidities: A Clinical Vignette Study. Value in Health. 2022. DOI:https://doi.org/10.1016/j.jval.2021.11.812

2021

Raghunandan, R., Howard, K., Marra, C.A. et al. 2021. Identifying Community Pharmacist Preferences For Prescribing Services in Primary Care in New Zealand: A Discrete Choice Experiment. Appl Health Econ Health Policy 19, 253–266 (2021). https://doi.org/10.1007/s40258-020-00615-3

Thai, T. T. H. 2021. Australian Pharmacy Workforce Preferences and Satisfaction. Monash University. Thesis. https://doi.org/10.26180/17084540.v1

Thai, T. T. H. 2021. Is Simpler Better? A Comparison of Full and Partial Choice Set Designs in a Labelled Discrete Choice Experiment. Diversity in Health Economics IHEA’s 15th World Congress Thursday, July 15, 2021

Freitag, M., Hofstetter, N. 2021. Pandemic personality: Emotional reactions, political and social preferences across personality traits in times of CoronaCurrent Psychology (2021). https://doi.org/10.1007/s12144-021-02493-x

Asaria, M., Costa-Font, J. & Akaichi, F. 2021 Why some ethnic groups are more likely to refuse the COVID vaccine (and what we could do about it). LSE COVID-19 Blog (21 Oct 2021). Blog Entry.

Manipis, K., Street, D., Cronin, P. et al. 2021. Exploring the Trade-Off Between Economic and Health Outcomes During a Pandemic: A Discrete Choice Experiment of Lockdown Policies in AustraliaPatient 14, 359–371 (2021). https://doi.org/10.1007/s40271-021-00503-5

Yim, J., Arora, S., Shaw, J., Street D. J., Pearce, A., Viney, R., 2021. Patient Preferences for Anxiety and Depression Screening in Cancer Care: A Discrete Choice Experiment. Preference-Based Assessments, Volume 24, Issue 12, P1835-1844, December 01, 2021. https://doi.org/10.1016/j.jval.2021.05.014

Bushell, J., Merkert, R., Beck, M. J., 2021. Consumer preferences for operator collaboration in intra- and intercity transport ecosystems: Institutionalising platforms to facilitate MaaS 2.0, Received 9 August 2021, Revised 28 February 2022, Accepted 15 April 2022, Available online 22 April 2022, Version of Record 22 April 2022. https://doi.org/10.1016/j.tra.2022.04.013

Simons. G., Veldwijk, J., Santostefano, R. D., Englbrecht, M., Radawski, C., Valor. L., Raza, K., Falahee. M. 2021. OP0160-HPR Preferences for Treatments to Prevent Rheumatoid Arthritis: Discrete Choice Survey of General Populations in the United Kingdom, Germany and Romania. Annals of the Rheumatic Diseases 2021;80:96-97.

Viberg, J. J., Bentzen, H. B., Shah, N., Haraldsdóttir, E., Jónsdóttir, G. A., Kaye, J., Mascalzoni, D., Veldwijk, J. 2021. Preferences of the Public for Sharing Health Data: Discrete Choice Experiment. JMIR Med Inform 2021;9(7):e29614. doi: 10.2196/29614

Merkert, R., Beck, M. J., Bushell, J. 2021. Will It Fly? Adoption of the road pricing framework to manage drone use of airspace. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2021.06.001

Kolarova, V., Cherchi, E., 2021. Impact of trust and travel experiences on the value of travel time savings for autonomous driving. Transportation Research Part C: Emerging Technologies. https://eprints.ncl.ac.uk/file_store/production/277005/CF3EE63D-959E-4F49-8162-233231033361.pdf.

Kenny, P., Street, D. J., Hall, J., Agar M., Phillips J. 2021. Valuing End-of-Life Care for Older People with Advanced Cancer: Is Dying at Home Important? The Patient – Patient-Centered Outcomes Research volume 14, pages 803–813 (2021). https://doi.org/10.1007/s40271-021-00517-z

Yu. A., Street, D., Viney, R., Goodall. S., Pearce, A., Haywood, F., Haas. M., Battaglini, E., Goldstein, D., Timmins, H., Park, S. B. 2021. Clinical assessment of chemotherapy-induced peripheral neuropathy: a discrete choice experiment of patient preferences. Supportive Care in Cancer volume 29, pages 6379–6387 (2021). https://doi.org/10.1007/s00520-021-06196-8

Burge, P., Lu, H. & Phillips, W. 2021. Understanding Teaching Retention Using a discrete choice experiment to measure teacher retention in England. Office of Manpower Economics, 2021. rand.org/t/RRA181-1.

Jansen, F., Verdonck-de Leeuw, I. M., Gamper, E., Norman, R., Holzner, B., King, M., Kemmler, G. 2021. Dutch utility weights for the EORTC cancer-specific utility instrument: the Dutch EORTC QLU-C10D. Qual Life Res (2021). https://doi.org/10.1007/s11136-021-02767-8

Rogers, H. J., Marshman, Z., Rodd. H. & Rowen, D. 2021. Discrete choice experiments or best-worst scaling? A qualitative study to determine the suitability of preference elicitation tasks in research with children and young people. Journal of Patient-Reported Outcomes 5, 26 (2021). https://doi.org/10.1186/s41687-021-00302-4

Lehmann, J., Holzner, B., Giesinger, J. M., Bottomley, A., Ansari, S., von Butler, L,. Kemmler, G. 2021. Functional health and symptoms in Spain before and during the COVID-19 pandemic. BMC Public Health. 2021 May 1;21(1):837. DOI: 10.1186/s12889-021-10899-2. PMID: 33933042; PMCID: PMC8087887

Lu, Y. E., Okoro, T., Amelio, J., Pao, C., Heidenreich, S., Seo, J., Refoios Camejo, R. 2021. Patients’ and physicians’ preferences for treatment of anaemia of chronic kidney disease: design methods of a discrete choice experiment. National Kidney Foundation 2021 Spring Clinical Meetings

Norman, R., Robinson, S., Dickinson, H. et al. 2021. Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment. Patient 14, 319–330 (2021). https://doi.org/10.1007/s40271-021-00498-z

Manipis, K., Street, D., Cronin, P. et al. 2021. Exploring the Trade-Off Between Economic and Health Outcomes During a Pandemic: A Discrete Choice Experiment of Lockdown Policies in Australia. Patient 14359–371 (2021). https://doi.org/10.1007/s40271-021-00503-5

Wang, B., Waygood E. O. D., Daziano, R. A., Patterson, Z., Feinberg, M. 2021. Does hedonic framing improve people’s willingness to pay for vehicle greenhouse gas emissions? Transportation Research Part D: Transport and Environment, Volume 98, September 2021, 102973. https://doi.org/10.1016/j.trd.2021.102973

Claassen, D. O., Goldschmidt, D., Zhou, M., Leo, S., Ribalov, R., Ayyagari, R. 2021 Defining Utility Values for the Chorea Health States in Patients With Huntington’s Disease Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology

Rowen, D., Powell, P., Mukuria, C., Carlton, J., Norman, R., Brazier, J. 2021. Deriving a Preference-Based Measure for People With Duchenne Muscular Dystrophy From the DMD-QoL. Value in Health Volume 24, Issue 10, October 2021, Pages 1499-1510. https://doi.org/10.1016/j.jval.2021.03.007

European Commission, Joint Research Centre, Pisani, D., Grilli, G., La Notte, A., et al., How much do Europeans value biodiversity? : a choice experiment exercise to estimate the “habitat and species maintenance” ecosystem service, Publications Office of the European Union, 2021, https://data.europa.eu/doi/10.2760/927786

United Kingdon Department for Business, Energy, and Industrial Strategy. 2021. Understanding the Reasons for Incorporation Final Report – Policy Summary. BEIS Research Paper Number 2021/058

Van Til, J., Bouwers-Beens, E., Mertens, M., Boenink, M., Groothuis-Oudshoorn, C., Hofmeijer, J. Prognostication of patients in coma after cardiac arrest: Public perspectives. Resuscitation. 2021 Dec;169:4-10. doi: 10.1016/j.resuscitation.2021.10.002.

2020

Blake, M. R., Dubey, S., Swait, J., Lancsar, E., Ghijben, P. 2020. An integrated modelling approach examining the influence of goals, habit and learning on choice using visual attention data, Journal of Business Research, Volume 117, 2020, Pages 44-57, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2020.04.040.

Thai, T. T. H. 2020. PNS70 Employment Preferences of Australian Pharmacists: Evidence from a Discrete Choice Experiment. https://doi.org/10.1016/j.jval.2020.08.1514

Cherchi, E., Vuong, Q., & Stergiou, A. 2020. Using EEG to understand how our brain elaborate information in stated choice experiments: Easy versus hard tasks in the choice of vehicles. 10.1101/2020.01.29.926162.

Su, J., Li, N., Joshi, N., et al. 2020. Patient and caregiver preferences for haemophilia A treatments: A discrete choice experiment. Haemophilia. 2020; 00: 1– 9. https://doi.org/10.1111/hae.14137

Gamper, E. M., King, M. T., Norman, R., et al. 2020. EORTC QLU-C10D value sets for Austria, Italy, and Poland. Quality of Life Research: an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation. 2020 Sep;29(9):2485-2495. DOI: 10.1007/s11136-020-02536-z.

Norman, R., Moorin, R., Maxwell, S., Robinson, S. & Brims, F. 2020. Public Attitudes on Lung Cancer Screening and Radiation Risk: A Best-Worst Experiment. Value in Health. 23. 10.1016/j.jval.2019.11.006.

Norman, R., Anstey, M., Hasani, A. et al. 2020. What Matters to Potential Patients in Chemotherapy Service Delivery? A Discrete Choice Experiment. Applied Health Econ Health Policy 18, 589–596. https://doi.org/10.1007/s40258-020-00555-y

Anstey, M. H., Mitchell, I. A., Corke, C. et al. 2020. Population Preferences for Treatments When Critically Ill: A Discrete Choice Experiment. Patient 13, 339–346. https://doi.org/10.1007/s40271-020-00410-1

Pasha M. M., Hickman M. D., Prato C. G. 2020. Modeling Mode Choice of Air Passengers’ Ground Access to Brisbane Airport. Transportation Research Record. September 2020. doi:10.1177/0361198120949534

Jiang, R., Kohlmann, T., Lee, T. A. et al. 2020. Increasing respondent engagement in composite time trade-off tasks by imposing three minimum trade-offs to improve data quality. Eur J Health Econ. https://doi.org/10.1007/s10198-020-01224-6

Nerich, V., Gamper, E. M., Norman, R. et al. 2020. French Value-Set of the QLU-C10D, a Cancer-Specific Utility Measure Derived from the QLQ-C30. Appl Health Econ Health Policy. https://doi.org/10.1007/s40258-020-00598-1

Lim D., Norman R., Robinson S. 2020. Consumer preference to utilise a mobile health app: A stated preference experiment. PLoS ONE 15(2): e0229546. https://doi.org/10.1371/journal.pone.0229546

Ong, J. J., de Abreu Lourenco, R., Street, D., Smith, K., Jamil, M. S., Terris-Prestholt, F., Fairley, C. K., McNulty, A., Hynes, A., Johnson, K., Chow, E. P. F., Bavinton, B., Grulich, A., Stoove, M., Holt, M., Kaldor, J., Guy, R. 2020. The Preferred Qualities of Human Immunodeficiency Virus Testing and Self-Testing Among Men Who Have Sex With Men: A Discrete Choice Experiment, Value in Health, Volume 23, Issue 7, 2020, Pages 870-879, ISSN 1098-3015, https://doi.org/10.1016/j.jval.2020.04.1826.

Fruth, E., Kvistad, M., Marshall, J., Pfeifer, L., Rau, L., Sagebiel, J., Soto, D., Tarpey, J., Weir, J., Winiarski, B., 2020. Discrete choice experiment data for street-level urban greening in Berlin, Data in Brief, Volume 28, 2020, 105027, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.105027.

Patten, N., Brydon, S., Mulhern, B., Peacock, A., White, B., von Butler, L., Taylor, C., 2020. PCN42 A Real-World Comparison of Utility Values Derived from a Discrete Choice Experiment Versus Patient Reported Outcomes in Clinical Trials, Value in Health Regional Issues, Volume 22, Supplement, 2020, Page S12, ISSN 2212-1099, https://doi.org/10.1016/j.vhri.2020.07.092.

Lanceley, A., Whittaker, C., Bottomley, A., 2020. Estimating the impact of COVID-19 on functional health, symptoms and quality of life in the Spanish general population

2019

Sagebiel, J., Winiarski, B., Weir, J., Tarpey, J., Soto, D., Rau, L., Pfeifer, L., Marshall, J., Kvistad, M. & Fruth, E. 2019. Economic valuation of street-level urban greening: A case study from an evolving mixed-use area in Berlin. Land Use Policy. 89. 10.1016/j.landusepol.2019.104237.

Blake, M., R., Lancsar, E., Peeters, A., Backholer, K., 2019. Sugar-sweetened beverage price elasticities in a hypothetical convenience store, Social Science & Medicine, Volume 225, 2019, Pages 98-107, ISSN 0277-9536, https://doi.org/10.1016/j.socscimed.2019.02.021.

Zawojska, E., Budziński, W., Czajkowski, M., 2019. Controlling for endogeneity of perceived consequentiality in preference modelling. International Choice Modelling Conference 2019

Kemmler, G., Gamper, E., Nerich, V. et al. 2019. German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30. Qual Life Res 28, 3197–3211 (2019). https://doi.org/10.1007/s11136-019-02283-w

McTaggart-Cowan, H., King, M. T., Norman. R., et al. 2019. The EORTC QLU-C10D: The Canadian Valuation Study and Algorithm to Derive Cancer-Specific Utilities From the EORTC QLQ-C30. MDM Policy & Practice. January 2019. doi:10.1177/2381468319842532.

Norman, R., Mercieca‐Bebber, R., Rowen, D., et al. 2019. U.K. utility weights for the EORTC QLU‐C10D. Health Economics. 2019; 28: 1385– 1401. https://doi.org/10.1002/hec.3950

2018

Gamper, E. M., Holzner, B., King, M. T., Norman, R., Viney, R., Nerich, V., Kemmler. G. 2018. Test-Retest Reliability of Discrete Choice Experiment for Valuations of QLU-C10D Health States. Value in Health.

King, M., Viney, R., Pickard, A. S., Rowen, D., Aaronson, N. K., Brazier, J. E., Cella, D., Costa D. S. J., Fayers, P. M., Kemmler, G., McTaggart-Cowen, H., Mercieca-Bebber, R., Peacock, S., Street, D. J., Young, T. A., Norman, R. 2018. Australian Utility Weights for the EORTC QLU-C10D, a MultiAttribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30. PharmacoEconomics. 36(2):225-238.

2017

Olin E, Gu Y, Cutler H. 2017. Exploring the potential use of quality information when choosing between alternative public hospitals for elective surgery.

Cutler H, Gu Y, Olin E. 2017. Will public hospital patients choose a better quality hospital given the choice? A discrete choice experiment.

Cutler, H., Gu, Y., Olin, E. 2017. Assessing choice for public hospital patients. Report of the Centre for the Health Economy, Macquarie University, Australia.

Meshcheriakova, O., Goodall, S., Viney, R. 2017. Consumer preferences for food processing technologies: Evidence from a discrete choice experiment. IHEA Boston World Congress, Boston, USA.

Kenny, P., Goodall, S., Street., D. J., Greene, J. 2017. Choosing a Doctor: Does Presentation Format Affect the Way Consumers Use Health Care Performance Information. The Patient. 10(45):1-13. https://doi.org/10.1007/s40271-017-0245-9.

SGS Economics and Planning. SurveyEngine. 2017. The Value of Heritage: Summary Report.

Mulhern, B., Norman, R., Lorgelly, P. et al. 2017 Is Dimension Order Important when Valuing Health States Using Discrete Choice Experiments Including Duration?. PharmacoEconomics 35, 439–451 (2017). https://doi.org/10.1007/s40273-016-0475-z

2016

Gamper, E., Holzner, B., King, M. T., Norman, R., Kemmler, G. 2016. Trading-off Quality of Life and Survival Time – Feasibility of Web-based Discrete Choice Experiments for QLU-C10D Utility Elicitation in Cancer Patients. Value in Health. 19(7):A746.

Kemmler, G.,, Gamper, E., Nerich V., Norman R., King M. T., Holzner, B. 2016. Comparison of German, French and Polish Utility Weights for The Eortc Utility Instrument QLU-C10D. Value in Health. 19(7):A744-A745.

King, M. T. et al. 2016. Two New Cancer-Specific Multi-Attribute Utility Instruments: EORTC QLU-C10D and FACT-8D. Value in Health 19(7):A807.

King M. T. et. al. 2016. QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30. Quality of Life Research 25(3):625-636. https://doi.org/10.1007/s11136-015-1217-y.

Norman, R., Kemmler, G., Viney, R., Pickard, S., Gamper, E., Holzner, B., Nerich, V., King, M. T. 2016. Order of presentation of dimensions did not systematically bias utility weights from a discrete choice experiment. Value in Health. 19(8):1033 1038. http://dx.doi.org/10.1016/j.jval.2016.07.003.

Norman, R., Mulhern, B., Viney, R. 2016. The impact of different DCE-based approaches when anchoring utility scores. Pharmacoeconomics 34(8):805-814. https://doi.org/10.1007/s40273-016-0399-7.

Norman, R., Viney, R., Aaronson, N. K., Brazier, J. E., Cella, D. F., Costa, D. S. J., Fayers, P. M., Kemmler, G., Peacock, S., Pickard, A. S., Rowen, D., Street, D., Velikova G., Young, T. A., King, M. T. 2016. Using a discrete choice experiment to value the QLU-C10D: Feasibility and sensitivity to presentation format. Quality of Life Research 25(3):637-649. https://doi.org/10.1007/s11136-015-1115-3.

Hole, A. R., Norman, R., Viney R. 2016. Response Patterns in Health State Valuation Using Endogenous Attribute Attendance and Latent Class Analysis. Health Economics 25(2):212-224. https://doi.org/10.1002/hec.3134.

Goodall, S., Kenny, P., Mu, C., Hall, J., Norman, R., Cumming, J., Street, D., Greene, J. 2016. Preferences and choice in primary care: Consumers and Providers. Research Excellence in the Finance and Economics of Primary Health Care, CHERE, University of Technology Sydney, 2016.

McTaggart-Cowan, H., Peacock, S. J., Chan, K., Costa, D., Hoch, J., King, M., Leighl, N., Mittmann, N., Norman, R., Pickard, A. S., Regier, D. A., Viney, R. 2016. Identifying the most effective multi-attribute utility instruments to guide cancer funding decisions in Canada.

2014

Gu, Y., Norman, R., Viney, R. 2014. Estimating health state utility values from discrete choice experiments – a QALY space model approach. Health Economics. 23(9):1098-1114. https://doi.org/10.1002/hec.3066.

Norman, R., Viney, R., Brazier, J., Burgess, L., Cronin, P., King, M., Ratcliffe, J., Street, D. 2014. Valuing SF-6D health states using a Discrete Choice Experiment. Medical Decision Making. 34(6):773-786. http://doi.org/10.1177/0272989X13503499.

Viney R., Norman R, Brazier J, Cronin P, King M, Ratcliffe J, Street D. 2014. An Australian discrete choice experiment to value EQ-5D health states. Health Economics. 23(6):729-742. https://doi.org/10.1002/hec.2953.

2013

Norman, R., Hall, J., Street, D., Viney, R. 2013. Efficiency and Equity: A stated preference approach. Health Economics 22(5):568-81. https://doi.org/10.1002/hec.2827. 

Norman, R., Cronin, P., Viney, R. 2013. A pilot discrete choice experiment to explore preferences for EQ-5D-5L health states.Applied Health Economics and Health Policy. 11(3):287-298. https://doi.org/10.1007/s40258-013-0035-z.

Norman, R., Viney, R., Brazier, J., Burgess, L., Cronin, P., King, M., Ratcliffe, J., & Street, D. 2013. Valuing SF-6D Health States Using a Discrete Choice Experiment. Medical Decision Making. https://doi.org/10.1177/0272989X13503499

2011

Viney, R., Norman, R., King, M.T., Cronin, P., Street D.J., Knox, S., Ratcliffe, J. 2011. Time Trade-Off Derived EQ-5D Weights for Australia. Value in Health. 14(6):928-936. https://doi.org/10.1016/j.jval.2011.04.009.

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