1
|
Al-Aqeel S, Alotaiwi R, Albugami B. Patient preferences for epilepsy treatment: a systematic review of discrete choice experimental studies. HEALTH ECONOMICS REVIEW 2023; 13:17. [PMID: 36933108 PMCID: PMC10024410 DOI: 10.1186/s13561-023-00431-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND This review aimed to 1) identify and assess the quality of discrete choice experiments (DCEs) examining preferences related to epilepsy treatment; 2) summarize the attributes and attribute levels measured in these studies; 3) identify how researchers selected and developed these attributes; and 4) identify which attributes are most important for epilepsy patients. METHODS A systematic literature review using PubMed, Web of Science and Scopus databases from database inception to February or April 2022. We included primary discrete-choice experiments eliciting preferences for various attributes of pharmacological and surgical interventions in patients diagnosed with epilepsy or the parents/carers of children with epilepsy. We excluded non- primary studies, studies assessing preferences for nonpharmacological treatment and studies that elicit preferences using methods other than discrete choice experiments. Two authors independently selected studies, extracted data and assessed risk of bias of studies. The quality of the included studies was assessed using two validated checklists. Study characteristics and findings were summarized descriptively. RESULTS A total of seven studies were included in the review. The majority of studies explored patients' preferences, and two compared the preferences of patients with physicians. The majority (n = 6) compared two medications, and one compared two surgical options to continuing medication options. The studies examined 44 attributes in total, including side effects (n = 26), efficacy expressed as being seizure free or have fewer seizures (n = 8), costs (n = 3), dosing frequency (n = 3), duration of side effects (n = 2), mortality (n = 1), long-term problems after surgery (n = 1) and surgical options (n = 1). The findings indicate that people with epilepsy have strong preferences for improving seizure control, which was ranked as the top priority in all studies. Patients also have a strong preference for the reduction of adverse effects and may be willing to make trade-offs between improved seizure control and reduction of long-term side effects that may impact their quality of life. CONCLUSIONS The use of DCEs in measuring patients' preference for epilepsy treatment is accumulating. However, inadequate reporting of methodological details may reduce decision-makers' confidence in the findings. Suggestions for future research are provided.
Collapse
Affiliation(s)
- Sinaa Al-Aqeel
- Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
| | - Reem Alotaiwi
- Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Bushra Albugami
- Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| |
Collapse
|
2
|
Yan N, Liu T, Xu Y, Fang X, Ma X, Yang M, Du J, Tan Z, Fan EW, Huang J, Akinwunmi B, Zhang CJP, Ming WK, Luo L. Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment. Front Public Health 2022; 10:1044550. [PMID: 36466449 PMCID: PMC9713319 DOI: 10.3389/fpubh.2022.1044550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 10/26/2022] [Indexed: 11/18/2022] Open
Abstract
Background Chinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation. Objective This study aims to use the discrete choice model to determine the main factors affecting the healthcare preferences of the general Chinese population and their weights in the three scenarios (chronic non-communicable diseases, acute infectious diseases, and major diseases). Methods This study firstly identified the key factors affecting people's healthcare preferences through literature review and qualitative interviews, and then designed the DCE questionnaire. An online questionnaire produced by Lighthouse Studio (version 9.9.1) software was distributed to voluntary respondents recruited from mainland China's entire population from January 2021 to June 2021. Participants were required to answer a total of 21 questions of three scenarios in the questionnaire. The multinomial logit model and latent class model were used to analyze the collected data. Results A total of 4,156 participants from mainland China were included in this study. The multinomial logit and latent class model analyses showed that medical insurance reimbursement is the most important attribute in all three disease scenarios. In the scenario of "non-communicable diseases," the attributes that participants valued were, from the most to the least, medical insurance reimbursement (45.0%), hospital-level (21.6%), distance (14.4%), cost (9.7%), waiting time (8.3%), and care provider (1.0%). As for willingness to pay (WTP), participants were willing to pay 204.5 yuan, or 1,743.8 yuan, to change from private hospitals or community hospitals to tertiary hospitals, respectively. Conclusions This study explores the healthcare preferences of Chinese residents from a new perspective, which can provide theoretical reference for the refinement of many disease medical reimbursement policies, such as developing different reimbursement ratios for various common diseases and realizing rational configuration of medical resources.
Collapse
Affiliation(s)
- Ni Yan
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Taoran Liu
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Yuan Xu
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Xuanbi Fang
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Xinyang Ma
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Meng Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Jianhao Du
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zijian Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Er-wen Fan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Jian Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore,Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Babatunde Akinwunmi
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital Boston, Boston, MA, United States,Center for Genomic Medicine (CGM), Massachusetts General Hospital and Harvard Medical School, Harvard University, Boston, MA, United States
| | - Casper J. P. Zhang
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China,*Correspondence: Wai-Kit Ming
| | - Liangping Luo
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China,Liangping Luo
| |
Collapse
|
3
|
Rosenow F, Winter Y, Leunikava I, Brunnert M, Joeres L, Sutphin J, Boeri M, Smith J, Villani F, Brandt C. Relative importance of clinical outcomes and safety risks of antiseizure medication monotherapy for patients and physicians: Discrete choice experiment eliciting preferences in real-world study "VOTE". Epilepsia 2021; 63:451-462. [PMID: 34921391 DOI: 10.1111/epi.17137] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study was undertaken to elicit patients' preferences for attributes characterizing antiseizure medication (ASM) monotherapy options before treatment consultation, and to explore the trade-offs patients consider between treatment efficacy and risks of side effects. Further objectives were to explore how treatment consultation may affect patient preferences, to elicit physicians' preferences in selecting treatment, and to compare patient and physician preferences for treatment. METHODS This prospective, observational study (EP0076; VOTE) included adults with focal seizures requiring a change in their ASM monotherapy. Patients completed a discrete choice experiment (DCE) survey before and after treatment consultation. Physicians completed a similar survey after the consultation. The DCE comprised 12 choices between two hypothetical treatments defined by seven attributes. The conditional relative importance of each attribute was calculated. RESULTS Three hundred ten patients (mean [SD] age = 46.8 [18.3] years, 52.3% female) were enrolled from eight European countries, of whom 305 completed the survey before consultation and 273 completed the survey before and after consultation. Overall, this preference study in patients who intended to receive a new ASM monotherapy suggests that patient preferences were ordered as expected, with better outcomes being preferred to worse outcomes; patients preferred a higher chance of seizure freedom, lower risk of developing clinical depression, and fewer severe adverse events; avoiding moderate-to-severe "trouble thinking clearly" was more important than avoiding any other side effect. There were qualitative differences in what patients and physicians considered to be the most important aspects of treatment for patients; compared with patients, physicians had a qualitatively stronger preference for greater chance of seizure freedom and avoiding personality changes. Patients' preference weights were qualitatively similar before and after treatment consultation. SIGNIFICANCE For patients, seizure freedom and avoiding trouble thinking clearly were the most important treatment attributes. Physicians and patients may differ in the emphasis they place on specific attributes.
Collapse
Affiliation(s)
- Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.,LOEWE Center for Personalized Translational Epilepsy Research, Goethe University, Frankfurt, Germany
| | - Yaroslav Winter
- Mainz Comprehensive Epilepsy and Sleep Medicine Center, Johannes Gutenberg University, Mainz, Germany.,Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | | | | | | | - Jessie Sutphin
- RTI Health Solutions, Research Triangle Park, Durham, North Carolina, USA
| | - Marco Boeri
- RTI Health Solutions, Belfast, UK.,Queen's University Belfast, Belfast, UK
| | | | - Flavio Villani
- Centro Regionale per l'Epilessia, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Christian Brandt
- Bethel Epilepsy Center, Mara Hospital, University Hospital for Epileptology, Bielefeld, Germany
| |
Collapse
|