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Marsh K, Collacott H, Thomson J, Mauer J, Watt S, Shah K, Hauber B, Garrison L, Dzingina M. Using Patient Preferences in Health Technology Assessment: Evaluating Quality-Adjusted Survival Equivalents (QASE) for the Quantification of Non-health Benefits. THE PATIENT 2024; 17:229-237. [PMID: 38421583 DOI: 10.1007/s40271-024-00676-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/08/2024] [Indexed: 03/02/2024]
Abstract
Interest in using patient preference (PP) data alongside traditional economic models in health technology assessment (HTA) is growing, including using PP data to quantify non-health benefits. However, this is limited by a lack of standardised methods. In this article, we describe a method for using discrete choice experiment (DCE) data to estimate the value of non-health benefits in terms of quality-adjusted survival equivalence (QASE), which is consistent with the concept of value prevalent among HTA agencies. We describe how PP data can be used to estimate QASE, assess the ability to test the face-validity of QASE estimates of changes in mode of administration calculated from five published DCE oncology studies and review the methodological and normative considerations associated with using QASE to support HTA. We conclude that QASE may have some methodological advantages over alternative methods, but this requires DCEs to estimate second-order effects between length and quality of life. In addition, empirical work has yet to be undertaken to substantiate this advantage and demonstrate the validity of QASE. Further work is also required to align QASE with normative objectives of HTA agencies. Estimating QASE would also have implications for the conduct of DCEs, including standardising and defining more clear attribute definitions.
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Affiliation(s)
- Kevin Marsh
- Evidera, 201 Talgarth Rd, London, W6 8BJ, UK.
| | | | | | | | | | - Koonal Shah
- National Institute for Health and Care Excellence, London, UK
| | - Brett Hauber
- Pfizer, New York, NY, USA
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA, USA
| | - Louis Garrison
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA, USA
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van Lith PEA, Schreuder K, Jalving M, Reyners AKL, Been LB, Rácz E, Fransen HP, Louwman MWJ. Systemic therapy timing and use in patients with advanced melanoma at the end of life: A retrospective cohort study. J Dermatol 2024; 51:584-591. [PMID: 38078557 DOI: 10.1111/1346-8138.17061] [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: 04/20/2023] [Revised: 11/12/2023] [Accepted: 11/14/2023] [Indexed: 04/04/2024]
Abstract
Novel systemic therapies for advanced melanoma improve survival, but carry potential serious side effects and high costs. This study aimed to assess the timing and use of systemic therapies in the months before death. Patients diagnosed with advanced melanoma (July 2017-June 2020) who died before July 2020 were selected from the Netherlands Cancer Registry. We evaluated the timing of systemic therapies within 30 days and 3 months before death, and studied patient and tumor characteristics associated with systemic therapy use between diagnosis and death. Out of 1097 patients 68% received systemic therapy. Almost 25% and 10% started a new therapy within 90 days and within 30 days before death, respectively. Female sex, elevated LDH, BRAF mutation, poor ECOG performance status (≥3), and high comorbidity index reduced the odds of receiving immune therapy. Poor performance status and high comorbidity decreased the odds for both therapies. A considerable number of patients started systemic therapy shortly before death, emphasizing the importance of considering potential benefits and drawbacks through shared decision-making.
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Affiliation(s)
- P E A van Lith
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands
- Department of Surgery, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - K Schreuder
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands
| | - M Jalving
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - A K L Reyners
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - L B Been
- Department of Surgical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - E Rácz
- Department of Dermatology, University of Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - H P Fransen
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands
- Netherlands Association for Palliative Care (PZNL), Utrecht, The Netherlands
| | - M W J Louwman
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands
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Xia Q, Kularatna M, Virdun C, Button E, Close E, Carter HE. Preferences for Palliative and End-of-Life Care: A Systematic Review of Discrete Choice Experiments. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:1795-1809. [PMID: 37543206 DOI: 10.1016/j.jval.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/20/2023] [Accepted: 07/22/2023] [Indexed: 08/07/2023]
Abstract
OBJECTIVES Understanding what matters most to patients and their caregivers is fundamental to delivering high-quality care. This systematic review aimed to characterize and appraise the evidence from discrete choice experiments eliciting preferences for palliative care. METHODS A systematic literature search was undertaken for publications up until August 2022. Data were synthesized narratively. Thematic analysis was applied to categorize attributes into groups. Attribute development, frequency, and relative importance were analyzed. Subgroup analyses were conducted to compare outcomes between patient and proxy respondents. RESULTS Seventeen studies spanning 11 countries were included; 59% of studies solely considered preferences for patients with cancer. A range of respondent groups were represented including patients (76%) and proxies (caregivers [35%], health providers [12%], and the public [18%]). A total of 117 individual attributes were extracted and thematically grouped into 8 broad categories and 21 subcategories. Clinical outcomes including quality of life, length of life, and pain control were the most frequently reported attributes, whereas attributes relating to psychosocial components were largely absent. Both patients and proxy respondents prioritized pain control over additional survival time. Nevertheless, there were differences between respondent cohorts in the emphasis on other attributes such as access to care, timely information, and low risk of adverse effects (prioritized by patients), as opposed to cost, quality, and delivery of care (prioritized by proxies). CONCLUSIONS Our review underscores the vital role of pain control in palliative care; in addition, it shed light on the complexity and relative strength of preferences for various aspects of care from multiple perspectives, which is useful in developing personalized, patient-centered models of care for individuals nearing the end of life.
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Affiliation(s)
- Qing Xia
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health & Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
| | - Mineth Kularatna
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health & Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Claudia Virdun
- Cancer and Palliative Care Outcomes Centre, Centre for Healthcare Transformation, School of Nursing, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Elise Button
- Cancer and Palliative Care Outcomes Centre, Centre for Healthcare Transformation, School of Nursing, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Eliana Close
- Australian Centre for Health Law Research, School of Law, Faculty of Business and Law (Close), Queensland University of Technology, Brisbane, QLD, Australia
| | - Hannah E Carter
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health & Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
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King-Concialdi K, Beusterien K, Senglaub SS, Will O, Jaffe DH, Patel MY, Harrison MR. Patient Preferences for Adjuvant Treatment in Muscle-Invasive Urothelial Carcinoma: A Multi-Country Discrete Choice Experiment. Patient Prefer Adherence 2023; 17:2237-2248. [PMID: 37706208 PMCID: PMC10497056 DOI: 10.2147/ppa.s411751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 08/09/2023] [Indexed: 09/15/2023] Open
Abstract
Purpose The evolving treatment landscape in muscle-invasive urothelial carcinoma creates challenges for clinicians and patients in selecting the most appropriate therapy. Here, we aimed to understand adjuvant treatment preferences among patients with muscle-invasive urothelial carcinoma who underwent radical resection, including tradeoffs between efficacy outcomes and toxicity risks. Patients and Methods An observational, cross-sectional study utilizing a discrete choice experiment was conducted across the United States, United Kingdom, Canada, France, and Germany via a web-based survey. Patients ≥18 years of age who self-reported as having been diagnosed with muscle-invasive urothelial carcinoma were included. Patients indicated their preferences between hypothetical treatment profiles varying in eight attributes relating to efficacy, regimen, and side effects. Preference weights were estimated using hierarchical Bayesian logistic regression; relative attribute importance estimates were calculated. Results Overall, 207 patients were included (age ≥56 years, 65.7%; male, 54.1%). Patients chose adjuvant treatment 91.2% of the time vs no treatment. Prolonging overall survival from 25 to 78 months was most important, followed by reducing serious side effect risks. Increasing disease-free survival from 12 to 24 months was more important than decreasing risks of fatigue from 54% to 15% and nausea from 53% to 7%. Treatment with the shortest dosing regimen was more important for patients who received neoadjuvant chemotherapy vs patients who did not receive neoadjuvant chemotherapy; prolonging overall survival was more important than reducing the risk of a serious side effect in non-US patients; the opposite was found in the United States. Conclusion Patients with muscle-invasive urothelial carcinoma who underwent radical resection preferred adjuvant treatment over no treatment regardless of side effects. Patients prioritized overall survival improvements followed by a reduced side effect profile.
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Affiliation(s)
| | - Kathleen Beusterien
- Real-World Evidence, Cerner Enviza, an Oracle Company, North Kansas City, MO, USA
| | - Steven S Senglaub
- Real-World Evidence, Cerner Enviza, an Oracle Company, North Kansas City, MO, USA
| | - Oliver Will
- Real-World Evidence, Cerner Enviza, an Oracle Company, North Kansas City, MO, USA
| | - Dena H Jaffe
- Real-World Evidence, Cerner Enviza, an Oracle Company, North Kansas City, MO, USA
| | - Miraj Y Patel
- Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, USA
| | - Michael R Harrison
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
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Livingstone A, Howard K, Menzies AM, Long GV, Stockler MR, Morton RL. Preferences for Adjuvant Immunotherapy in Adults with Resected Stage III Melanoma-A Discrete Choice Experiment. THE PATIENT 2023; 16:497-513. [PMID: 37351797 PMCID: PMC10409831 DOI: 10.1007/s40271-023-00635-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVES This study aimed to quantify adult preferences for adjuvant immunotherapy for resected melanoma and the influence of varying levels of key attributes and baseline characteristics. METHODS A D-efficient design generated 12 choice tasks for two alternative treatments, adjuvant immunotherapy or no adjuvant immunotherapy. Recruitment to the online discrete choice experiment (DCE) occurred via survey dissemination by eight Australian melanoma consumer and professional groups, targeting adults with resected stage III melanoma, considering or having received adjuvant immunotherapy. The DCE included six attributes with two to three levels each, including 3-year risk of recurrence, mild, permanent and fatal adverse events (AEs), drug regimen and annual out-of-pocket costs. A mixed multinomial logit model was used to estimate preferences and calculate marginal rates of substitution and marginal willingness to pay (mWTP). RESULTS The DCE was completed by 116 respondents, who chose adjuvant immunotherapy over no adjuvant immunotherapy in 70% of choice tasks. Respondents preferred adjuvant immunotherapy when associated with reduced: probabilities of recurrence, permanent and fatal AEs, and out-of-pocket costs. mWTP for an absolute reduction of 1% in 3-year risk of recurrence was less for respondents with lower rather than higher incomes, AU$794 (US$527) and AU$2190 (US$1454) per year. Respondents accepted an additional 4% chance of a permanent AE to reduce their absolute risk of 3-year recurrence by 1%. Respondents were willing to accept an extra 2% chance of 3-year recurrence to lower their chance of a fatal AE by 1%. CONCLUSIONS Almost three-quarters of respondents chose adjuvant immunotherapy over no adjuvant immunotherapy, preferring treatment that improved efficacy and safety. Findings may inform decisions about access to adjuvant immunotherapy following surgery for melanoma.
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Affiliation(s)
- Ann Livingstone
- Faculty of Health, Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, VIC, Australia.
- Faculty of Health and Medicine, NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia.
| | - Kirsten Howard
- School of Public Health, The University of Sydney, Sydney, NSW, Australia
- Faculty of Health and Medicine, Menzies Centre for Health Policy and Economics, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
| | - Georgina V Long
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
| | - Martin R Stockler
- Faculty of Health and Medicine, NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia
- Central Clinical School, The University of Sydney, Sydney, NSW, Australia
| | - Rachael L Morton
- Faculty of Health and Medicine, NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
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Jiang S, Ren R, Gu Y, Jeet V, Liu P, Li S. Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments. PHARMACOECONOMICS 2023; 41:43-57. [PMID: 36372823 PMCID: PMC9813042 DOI: 10.1007/s40273-022-01198-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Targeted pharmacotherapy has been increasingly applied in cancer treatment due to its breakthroughs. However, the unmet needs of cancer patients are still significant, highlighting the urgency to investigate patient preferences. It is unclear how patients deliberate their choices between different aspects of targeted therapy, including cost, efficacy, and adverse events. Since discrete choice experiments (DCEs) have been widely applied to patient preference elicitation, we reviewed DCEs on targeted therapy for different cancers. We also synthesized evidence on the factors influencing patients' choices and their willingness-to-pay (WTP) for survival when treated by targeted therapy. METHODS We searched databases, including PubMed, EMBASE and MEDLINE, up to August 16, 2022, supplemented by a reference screening. The attributes from the selected studies were categorized into three groups: outcomes, costs, and process. We also calculated the relative importance of attributes and WTP for survival whenever possible. The purpose, respondents, explanation, findings, significance (PREFS) checklist was used to evaluate the quality of the included DCE studies. RESULTS The review identified 34 eligible studies from 13 countries covering 14 cancers, such as breast, ovarian, kidney, prostate, and skin cancers. It also reveals a rising trend of DCEs on this topic, as most studies were published after 2018. We found that patients placed higher weights on the outcome (e.g., overall survival) and cost attributes than on process attributes. On average, patients were willing to pay $561 (95% confidence interval [CI]: $415-$758) and $716 (95% CI $524-$958) out-of-pocket for a 1-month increase in progression-free survival and overall survival, respectively. PREFS scores of the 34 studies ranged from 2 to 4, with a mean of 3.38 (SD: 0.65), suggesting a reasonable quality based on the checklist. However, most studies (n = 32, 94%) did not assess the impact of non-responses on the results. CONCLUSIONS This is the first systematic review focusing on patient preferences for targeted cancer therapy. We showcased novel approaches for evidence synthesis of DCE results, especially the attribute relative importance and WTP. The results may inform stakeholders about patient preferences toward targeted therapy and their WTP estimates. More studies with improved study design and quality are warranted to generate more robust evidence to assist decision making.
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Affiliation(s)
- Shan Jiang
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Ru Ren
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Center for Health Preference Research, Shandong University, Jinan, 250012, China
- Institute of Medical Sciences, The Second Hospital, Cheeloo College of Medicine, Shandong University, 247# Beiyuan Street, Jinan, 250033, China
| | - Yuanyuan Gu
- Macquarie University Centre for the Health Economy, Macquarie Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia.
| | - Varinder Jeet
- Macquarie University Centre for the Health Economy, Macquarie Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, 2109, Australia
| | - Ping Liu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Center for Health Preference Research, Shandong University, Jinan, 250012, China
| | - Shunping Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Center for Health Preference Research, Shandong University, Jinan, 250012, China
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Berking C. Onkologische Systemtherapie bis zum bitteren Ende? J Dtsch Dermatol Ges 2022. [PMID: 36468374 DOI: 10.1111/ddg.14631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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van Laar SA, Kapiteijn E, Gombert-Handoko KB, Guchelaar HJ, Zwaveling J. Application of Electronic Health Record Text Mining: Real-World Tolerability, Safety, and Efficacy of Adjuvant Melanoma Treatments. Cancers (Basel) 2022; 14:5426. [PMID: 36358844 PMCID: PMC9657798 DOI: 10.3390/cancers14215426] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 08/13/2023] Open
Abstract
Introduction: Nivolumab (N), pembrolizumab (P), and dabrafenib plus trametinib (D + T) have been registered as adjuvant treatments for resected stage III and IV melanoma since 2018. Electronic health records (EHRs) are a real-world data source that can be used to review treatments in clinical practice. In this study, we applied EHR text-mining software to evaluate the real-world tolerability, safety, and efficacy of adjuvant melanoma treatments. Methods: Adult melanoma patients receiving adjuvant treatment between January 2019 and October 2021 at the Leiden University Medical Center, the Netherlands, were included. CTcue text-mining software (v3.1.0, CTcue B.V., Amsterdam, The Netherlands) was used to construct rule-based queries and perform context analysis for patient inclusion and data collection from structured and unstructured EHR data. Results: In total, 122 patients were included: 54 patients treated with nivolumab, 48 with pembrolizumab, and 20 with D + T. Significantly more patients discontinued treatment due to toxicity on D + T (N: 16%, P: 6%, D + T: 40%), and X2 (6, n = 122) = 14.6 and p = 0.024. Immune checkpoint inhibitors (ICIs) mainly showed immune-related treatment-limiting adverse events (AEs), and chronic thyroid-related AE occurred frequently (hyperthyroidism: N: 15%, P: 13%, hypothyroidism: N: 20%, P: 19%). Treatment-limiting toxicity from D + T was primarily a combination of reversible AEs, including pyrexia and fatigue. The 1-year recurrence-free survival was 70.3% after nivolumab, 72.4% after pembrolizumab, and 83.0% after D + T. Conclusions: Text-mining EHR is a valuable method to collect real-world data to evaluate adjuvant melanoma treatments. ICIs were better tolerated than D + T, in line with RCT results. For BRAF+ patients, physicians must weigh the higher risk of reversible treatment-limiting AEs of D + T against the risk of long-term immune-related AEs.
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Affiliation(s)
- Sylvia A. van Laar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Ellen Kapiteijn
- Department of Medical Oncology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Kim B. Gombert-Handoko
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Juliette Zwaveling
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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Seghers PAL(N, Wiersma A, Festen S, Stegmann ME, Soubeyran P, Rostoft S, O’Hanlon S, Portielje JEA, Hamaker ME. Patient Preferences for Treatment Outcomes in Oncology with a Focus on the Older Patient-A Systematic Review. Cancers (Basel) 2022; 14:cancers14051147. [PMID: 35267455 PMCID: PMC8909757 DOI: 10.3390/cancers14051147] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary In oncology, treatment outcomes can be competing, which means that one treatment could benefit one outcome, like survival, and negatively influence another, like independence. The choice of treatment therefore depends on the patient’s preference for outcomes, which needs to be assessed explicitly. Especially in older patients, patient preferences are important. Our systematic review summarizes all studies that assessed patient preferences for various treatment outcome categories. A total of 28 studies with 4374 patients were included, of which only six studies included mostly older patients. Although quality of life was only included in half of the studies, overall quality of life (79%) was most frequently prioritized as highest or second highest, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), treatment response (50%), and absence of transient short-term side effects (16%). In shared decision-making, these results can be used by healthcare professionals to better tailor the information provision and treatment recommendations to the individual patient. Abstract For physicians, it is important to know which treatment outcomes are prioritized overall by older patients with cancer, since this will help them to tailor the amount of information and treatment recommendations. Older patients might prioritize other outcomes than younger patients. Our objective is to summarize which outcomes matter most to older patients with cancer. A systematic review was conducted, in which we searched Embase and Medline on 22 December 2020. Studies were eligible if they reported some form of prioritization of outcome categories relative to each other in patients with all types of cancer and if they included at least three outcome categories. Subsequently, for each study, the highest or second-highest outcome category was identified and presented in relation to the number of studies that included that outcome category. An adapted Newcastle–Ottawa Scale was used to assess the risk of bias. In total, 4374 patients were asked for their priorities in 28 studies that were included. Only six of these studies had a population with a median age above 70. Of all the studies, 79% identified quality of life as the highest or second-highest priority, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), and treatment response (50%). Absence of transient short-term side effects was prioritized in 16%. The studies were heterogeneous considering age, cancer type, and treatment settings. Overall, quality of life, overall survival, progression- and disease-free survival, and severe and persistent side effects of treatment are the outcomes that receive the highest priority on a group level when patients with cancer need to make trade-offs in oncologic treatment decisions.
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Affiliation(s)
| | - Anke Wiersma
- Department of Internal Medicine, Diakonessenhuis, 3582 KE Utrecht, The Netherlands;
| | - Suzanne Festen
- University Center for Geriatric Medicine, University Medical Hospital Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Mariken E. Stegmann
- Department of General Practice and Elderly Care Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Pierre Soubeyran
- Department of Oncology, Institut Bergonié, Université de Bordeaux, 33076 Bordeaux, France;
| | - Siri Rostoft
- Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway;
- Institute of Clinical Medicine, University of Oslo, 0318 Oslo, Norway
| | - Shane O’Hanlon
- Department of Geriatric Medicine, St. Vincent’s University Hospital, D04 T6F4 Dublin, Ireland;
- School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Johanneke E. A. Portielje
- Department of Medical Oncology, Leiden University Medical Center-LUMC, 2333 ZA Leiden, The Netherlands;
| | - Marije E. Hamaker
- Department of Geriatric Medicine, Diakonessenhuis, 3582 KE Utrecht, The Netherlands
- Correspondence: (P.A.L.S.); (M.E.H.)
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EL Masri H, McGuire TM, van Driel ML, Benham H, Hollingworth SA. Dynamics of Patient-Based Benefit-Risk Assessment of Medicines in Chronic Diseases: A Systematic Review. Patient Prefer Adherence 2022; 16:2609-2637. [PMID: 36164323 PMCID: PMC9508999 DOI: 10.2147/ppa.s375062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND A critical gap exits in understanding the dynamics of patient-based benefit-risk assessment (BRA) of medicines in chronic diseases during the disease journey. PURPOSE To systematically review and synthesize current evidence on the changes of patients' preferences about the benefits and risks of medicines during their disease journey including the influence of disease duration and severity, and previous treatment experience. METHODS A systematic review of studies identified in PubMed and Embase, from inception to November 2020, was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Articles were eligible if they analyzed adult patient-based BRA of medicines with a chronic disease, based on at least one of the pre-specified dimensions: disease severity, disease duration, or previous treatment experience. RESULTS A total of 26,228 articles were identified and 105 were eligible for inclusion. Of these, 85 detected a variation in patient-based BRA of medicines with at least one of the pre-specified criteria. Patients with higher disease severity and more treatment experience have increased risk tolerance. It remains inconclusive whether disease duration directly affects the relative importance of a patient's preference. CONCLUSION Factors important for patients' BRA of their medicines during a chronic disease journey vary more with their clinical situation and previous treatment experience than with time since diagnosis. Due to the importance of these factors on patients' perspectives and potential impact on their decision-making and eventually their clinical outcomes, there is a need for more studies to assess the dynamics of patients' BRA in every disease.
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Affiliation(s)
- Hiba EL Masri
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
- Correspondence: Hiba EL Masri, School of Pharmacy, The University of Queensland, 20 Cornwall St, Woolloongabba, Brisbane, Queensland, 4102, Australia, Tel +61 478512234, Email
| | - Treasure M McGuire
- School of Pharmacy, The University of Queensland, Brisbane, Queensland, Australia
- Faculty of Health Sciences and Medicine, Bond University, Robina, Queensland, Australia
- Mater Pharmacy, Mater Health, Brisbane, Queensland, Australia
| | - Mieke L van Driel
- Primary Care Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Helen Benham
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Department of Rheumatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
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Collacott H, Soekhai V, Thomas C, Brooks A, Brookes E, Lo R, Mulnick S, Heidenreich S. A Systematic Review of Discrete Choice Experiments in Oncology Treatments. THE PATIENT 2021; 14:775-790. [PMID: 33950476 DOI: 10.1007/s40271-021-00520-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/17/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND As the number and type of cancer treatments available rises and patients live with the consequences of their disease and treatments for longer, understanding preferences for cancer care can help inform decisions about optimal treatment development, access, and care provision. Discrete choice experiments (DCEs) are commonly used as a tool to elicit stakeholder preferences; however, their implementation in oncology may be challenging if burdensome trade-offs (e.g. length of life versus quality of life) are involved and/or target populations are small. OBJECTIVES The aim of this review was to characterise DCEs relating to cancer treatments that were conducted between 1990 and March 2020. DATA SOURCES EMBASE, MEDLINE, and the Cochrane Database of Systematic Reviews were searched for relevant studies. STUDY ELIGIBILITY CRITERIA Studies were included if they implemented a DCE and reported outcomes of interest (i.e. quantitative outputs on participants' preferences for cancer treatments), but were excluded if they were not focused on pharmacological, radiological or surgical treatments (e.g. cancer screening or counselling services), were non-English, or were a secondary analysis of an included study. ANALYSIS METHODS Analysis followed a narrative synthesis, and quantitative data were summarised using descriptive statistics, including rankings of attribute importance. RESULT Seventy-nine studies were included in the review. The number of published DCEs relating to oncology grew over the review period. Studies were conducted in a range of indications (n = 19), most commonly breast (n =10, 13%) and prostate (n = 9, 11%) cancer, and most studies elicited preferences of patients (n = 59, 75%). Across reviewed studies, survival attributes were commonly ranked as most important, with overall survival (OS) and progression-free survival (PFS) ranked most important in 58% and 28% of models, respectively. Preferences varied between stakeholder groups, with patients and clinicians placing greater importance on survival outcomes, and general population samples valuing health-related quality of life (HRQoL). Despite the emphasis of guidelines on the importance of using qualitative research to inform attribute selection and DCE designs, reporting on instrument development was mixed. LIMITATIONS No formal assessment of bias was conducted, with the scope of the paper instead providing a descriptive characterisation. The review only included DCEs relating to cancer treatments, and no insight is provided into other health technologies such as cancer screening. Only DCEs were included. CONCLUSIONS AND IMPLICATIONS Although there was variation in attribute importance between responder types, survival attributes were consistently ranked as important by both patients and clinicians. Observed challenges included the risk of attribute dominance for survival outcomes, limited sample sizes in some indications, and a lack of reporting about instrument development processes. PROTOCOL REGISTRATION PROSPERO 2020 CRD42020184232.
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Affiliation(s)
- Hannah Collacott
- Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK.
| | - Vikas Soekhai
- Erasmus University, Rotterdam, The Netherlands
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Caitlin Thomas
- Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK
| | - Anne Brooks
- Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA
| | - Ella Brookes
- Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK
| | - Rachel Lo
- Evidera, The Ark, 2nd Floor, 201 Talgarth Road, London, W6 8BJ, UK
| | - Sarah Mulnick
- Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA
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12
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Berking C. Onkologische Systemtherapie bis zum bitteren Ende? J Dtsch Dermatol Ges 2021; 19:1259-1260. [PMID: 34541809 DOI: 10.1111/ddg.14631_g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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13
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Wang Y, Wang Z, Wang Z, Li X, Pang X, Wang S. Application of Discrete Choice Experiment in Health Care: A Bibliometric Analysis. Front Public Health 2021; 9:673698. [PMID: 34150710 PMCID: PMC8212992 DOI: 10.3389/fpubh.2021.673698] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/23/2021] [Indexed: 11/21/2022] Open
Abstract
Background: Discrete choice experiment (DCE) as a tool that can measure medical stakeholders' preferences especially patients recently has been increasingly applied in health care. Objective: The aim of this study was to examine the hotspots and trends of the application of DCE in health care and to provide reference and direction for further development of DCE in the future. Method: A bibliometric method was implemented using the Web of Science (WoS) Core Collection for the period from the database established to December 8, 2020. The data files are imported into CiteSpace and Excel to analyze and visualize the annual volume of productive, authors, countries, cited journals, cited articles, and keywords. Results: A total of 1,811 articles were retrieved, then we read the abstract of each paper one by one, and 1,562 articles were included after screening, with an exponential increase in publication volume. John F. P. Bridges contributed to 40 publications and ranked first, followed by F. Reed Johnson (n = 37), Julie Ratcliffe (n = 36). The majority of the papers were conducted in the United States (n = 513) and the United Kingdom (n = 433). The top three cited journals were “Health Economics” (n = 981), “Value in Health” (n = 893), and “Pharmaceutical Economics” (n = 774), and the top three articles were “Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force,” “Conjoint analysis applications in health-a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force,” and “Discrete choice experiments in health economics: a review of the literature.” The research hotspots and trends included “health technology assessment,” “survival,” “preference based measure,” and “health state valuation.” Conclusion: The size of the literature about DCE studies in health care showed a noticeable increase in the past decade. The application of DCE in health care remains in an early growth phase, and “health technology assessment,” “survival,” “preference based measure,” and “health state valuation” reflected the latest research hotpots and future trends.
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Affiliation(s)
- Yue Wang
- The School of Graduate, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhangyi Wang
- The School of Graduate, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhao Wang
- The School of Graduate, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuechun Li
- The School of Graduate, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiaoli Pang
- The School of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shuling Wang
- The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
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14
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Lodde G, Forschner A, Hassel J, Wulfken LM, Meier F, Mohr P, Kähler K, Schilling B, Loquai C, Berking C, Hüning S, Schatton K, Gebhardt C, Eckardt J, Gutzmer R, Reinhardt L, Glutsch V, Nikfarjam U, Erdmann M, Stang A, Kowall B, Roesch A, Ugurel S, Zimmer L, Schadendorf D, Livingstone E. Factors Influencing the Adjuvant Therapy Decision: Results of a Real-World Multicenter Data Analysis of 904 Melanoma Patients. Cancers (Basel) 2021; 13:2319. [PMID: 34065995 PMCID: PMC8151445 DOI: 10.3390/cancers13102319] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 11/16/2022] Open
Abstract
Adjuvant treatment of melanoma patients with immune-checkpoint inhibition (ICI) and targeted therapy (TT) significantly improved recurrence-free survival. This study investigates the real-world situation of 904 patients from 13 German skin cancer centers with an indication for adjuvant treatment since the approval of adjuvant ICI and TT. From adjusted log-binomial regression models, we estimated relative risks for associations between various influence factors and treatment decisions (adjuvant therapy yes/no, TT vs. ICI in BRAF mutant patients). Of these patients, 76.9% (95% CI 74-80) opted for a systemic adjuvant treatment. The probability of starting an adjuvant treatment was 26% lower in patients >65 years (RR 0.74, 95% CI 68-80). The most common reasons against adjuvant treatment given by patients were age (29.4%, 95% CI 24-38), and fear of adverse events (21.1%, 95% CI 16-28) and impaired quality of life (11.9%, 95% CI 7-16). Of all BRAF-mutated patients who opted for adjuvant treatment, 52.9% (95% CI 47-59) decided for ICI. Treatment decision for TT or ICI was barely associated with age, gender and tumor stage, but with comorbidities and affiliated center. Shortly after their approval, adjuvant treatments have been well accepted by physicians and patients. Age plays a decisive role in the decision for adjuvant treatment, while pre-existing autoimmune disease and regional differences influence the choice between TT or ICI.
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Affiliation(s)
- Georg Lodde
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
| | - Andrea Forschner
- Department of Dermatology, University Hospital Tuebingen, 72076 Tuebingen, Germany; (A.F.); (J.E.)
| | - Jessica Hassel
- Department of Dermatology, University Hospital Heidelberg, 69120 Heidelberg, Germany;
| | - Lena M. Wulfken
- Skin Cancer Center Hannover, Department of Dermatology and Allergy, Venereology and Allergology, University Hospital Hannover Medical School, 30625 Hannover, Germany; (L.M.W.); (R.G.)
| | - Friedegund Meier
- Skin Cancer Center at the University Cancer Centre Dresden and National Center for Tumor Diseases, 01307 Dresden, Germany; (F.M.); (L.R.)
| | - Peter Mohr
- Department of Dermatology, Elbe Kliniken Stade-Buxtehude, 21614 Buxtehude, Germany;
| | - Katharina Kähler
- Department of Dermatology, Venereology and Allergology, University Hospital Kiel, 24105 Kiel, Germany;
| | - Bastian Schilling
- Department of Dermatology, Venereology and Allergology, University Hospital Wuerzburg, 97080 Wuerzburg, Germany; (B.S.); (V.G.)
| | - Carmen Loquai
- Department of Dermatology, University Hospital Mainz, 55131 Mainz, Germany; (C.L.); (U.N.)
| | - Carola Berking
- Department of Dermatology, University Hospital Erlangen, CCC-Comprehensive Cancer Center Erlangen-EMN, Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany; (C.B.); (M.E.)
| | - Svea Hüning
- Department of Dermatology, Klinikum Dortmund gGmbH, 44137 Dortmund, Germany;
| | - Kerstin Schatton
- Department of Dermatology, Medical Faculty, Heinrich Heine University, 40225 Düsseldorf, Germany;
| | - Christoffer Gebhardt
- Department of Dermatology, Venereology and Allergology, University Hospital Hamburg, 20246 Hamburg, Germany;
| | - Julia Eckardt
- Department of Dermatology, University Hospital Tuebingen, 72076 Tuebingen, Germany; (A.F.); (J.E.)
| | - Ralf Gutzmer
- Skin Cancer Center Hannover, Department of Dermatology and Allergy, Venereology and Allergology, University Hospital Hannover Medical School, 30625 Hannover, Germany; (L.M.W.); (R.G.)
| | - Lydia Reinhardt
- Skin Cancer Center at the University Cancer Centre Dresden and National Center for Tumor Diseases, 01307 Dresden, Germany; (F.M.); (L.R.)
| | - Valerie Glutsch
- Department of Dermatology, Venereology and Allergology, University Hospital Wuerzburg, 97080 Wuerzburg, Germany; (B.S.); (V.G.)
| | - Ulrike Nikfarjam
- Department of Dermatology, University Hospital Mainz, 55131 Mainz, Germany; (C.L.); (U.N.)
| | - Michael Erdmann
- Department of Dermatology, University Hospital Erlangen, CCC-Comprehensive Cancer Center Erlangen-EMN, Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Deutsches Zentrum Immuntherapie (DZI), 91054 Erlangen, Germany; (C.B.); (M.E.)
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, 45122 Essen, Germany; (A.S.); (B.K.)
| | - Bernd Kowall
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, 45122 Essen, Germany; (A.S.); (B.K.)
| | - Alexander Roesch
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
- German Consortium for Translational Cancer Research (DKTK), Partner Site Essen and German Cancer Research Center (DKFZ), 45147 Essen, Germany
| | - Selma Ugurel
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
| | - Lisa Zimmer
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
| | - Dirk Schadendorf
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
- German Consortium for Translational Cancer Research (DKTK), Partner Site Essen and German Cancer Research Center (DKFZ), 45147 Essen, Germany
| | - Elisabeth Livingstone
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, 45147 Essen, Germany; (G.L.); (A.R.); (S.U.); (L.Z.); (D.S.)
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15
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Weilandt J, Diehl K, Schaarschmidt ML, Kiecker F, Sasama B, Pronk M, Ohletz J, Könnecke A, Müller V, Utikal J, Hillen U, Harth W, Peitsch WK. Patientenpräferenzen für die Therapie fortgeschrittener Melanome: Einfluss von Komorbidität. J Dtsch Dermatol Ges 2021; 19:58-72. [PMID: 33491889 DOI: 10.1111/ddg.14293_g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Juliane Weilandt
- Klinik für Dermatologie und Phlebologie, Vivantes Klinikum im Friedrichshain, Berlin
| | - Katharina Diehl
- Mannheimer Institut für Public Health, Sozial- und Präventivmedizin, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim
| | - Marthe-Lisa Schaarschmidt
- Klinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim
| | - Felix Kiecker
- Klinik für Dermatologie, Venerologie und Allergologie, Charité Universitätsmedizin Berlin, Berlin.,Klinik für Dermatologie und Venerologie, Vivantes Klinikum Neukölln, Berlin
| | - Bianca Sasama
- Klinik für Dermatologie und Phlebologie, Vivantes Klinikum im Friedrichshain, Berlin
| | - Melanie Pronk
- Klinik für Dermatologie und Allergologie, Vivantes Klinikum Spandau, Berlin
| | - Jan Ohletz
- Klinik für Dermatologie und Allergologie, Vivantes Klinikum Spandau, Berlin
| | - Andreas Könnecke
- Klinik für Dermatologie und Venerologie, Vivantes Klinikum Neukölln, Berlin
| | - Verena Müller
- Klinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim.,Klinische Kooperationseinheit Dermato-Onkologie, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Jochen Utikal
- Klinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim.,Klinische Kooperationseinheit Dermato-Onkologie, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland
| | - Uwe Hillen
- Klinik für Dermatologie und Venerologie, Vivantes Klinikum Neukölln, Berlin
| | - Wolfgang Harth
- Klinik für Dermatologie und Allergologie, Vivantes Klinikum Spandau, Berlin
| | - Wiebke K Peitsch
- Klinik für Dermatologie und Phlebologie, Vivantes Klinikum im Friedrichshain, Berlin
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16
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Weilandt J, Diehl K, Schaarschmidt ML, Kiecker F, Sasama B, Pronk M, Ohletz J, Könnecke A, Müller V, Utikal J, Hillen U, Harth W, Peitsch WK. Patient preferences for treatment of advanced melanoma: impact of comorbidities. J Dtsch Dermatol Ges 2020; 19:58-70. [PMID: 33015933 DOI: 10.1111/ddg.14293] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 06/15/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVES Choice of treatment for advanced melanoma is crucially influenced by comorbidities and patient preferences. Our study aimed to investigate the impact of comorbidities on preferences. PATIENTS AND METHODS 150 patients with melanoma stage IIC-IV completed a discrete choice experiment to determine preferences for outcome (overall response rate [ORR], 2-year survival, progression-free survival [PFS], time to response [TTR], kind of adverse events [AE], AE-related treatment discontinuation) and process attributes (frequency and route of administration [RoA], frequency of consultations) of systemic melanoma treatments. The impact of comorbidities was assessed by analysis of variance and multivariate regression. RESULTS Participants with hypertension and other cardiovascular diseases attached significantly greater importance to TTR and RoA than others. Respondents with arthropathy cared more about TTR (β = 0.179, P = 0.047) and RoA, but less about ORR (β = -0.209, P = 0.021). Individuals with diabetes considered AE (β = 0.185, P = 0.039) and frequency of consultations more essential, but ORR less relevant. Those with other malignancies were particularly worried about treatment discontinuation (β = 0.219, P = 0.008), but less about ORR (β = -0.202, P = 0.015). Participants with depression focused more on PFS (β = 0.201, P = 0.025) and less on TTR (β = -0.201, P = 0.023) and RoA (β = -0.167, P = 0.050). CONCLUSIONS Treatment preferences of melanoma patients vary significantly dependent on comorbidities.
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Affiliation(s)
- Juliane Weilandt
- Department of Dermatology and Phlebology, Vivantes Klinikum im Friedrichshain, Berlin, Germany
| | - Katharina Diehl
- Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marthe-Lisa Schaarschmidt
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Felix Kiecker
- Department of Dermatology, Venereology und Allergology, Charité University Medicine Berlin, Berlin, Germany.,Department of Dermatology and Venereology, Vivantes Klinikum Neukölln, Berlin, Germany
| | - Bianca Sasama
- Department of Dermatology and Phlebology, Vivantes Klinikum im Friedrichshain, Berlin, Germany
| | - Melanie Pronk
- Department of Dermatology and Allergology, Vivantes Klinikum Spandau, Berlin, Germany
| | - Jan Ohletz
- Department of Dermatology and Allergology, Vivantes Klinikum Spandau, Berlin, Germany
| | - Andreas Könnecke
- Department of Dermatology and Venereology, Vivantes Klinikum Neukölln, Berlin, Germany
| | - Verena Müller
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.,Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jochen Utikal
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.,Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Uwe Hillen
- Department of Dermatology and Venereology, Vivantes Klinikum Neukölln, Berlin, Germany
| | - Wolfgang Harth
- Department of Dermatology and Allergology, Vivantes Klinikum Spandau, Berlin, Germany
| | - Wiebke K Peitsch
- Department of Dermatology and Phlebology, Vivantes Klinikum im Friedrichshain, Berlin, Germany
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