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Marsh K, Sepulveda JMG, Berlin C, Levitan B, Boeri M, Groothuis-Oudshoorn CGM, Crossnohere NL, Jimenez-Moreno C, Liden B, Stoeckert I, Veldwijk J, Watt S, Hauber B. What Next for the Science of Patient Preference? Interoperability, Standardization, and Transferability. THE PATIENT 2025; 18:101-108. [PMID: 39873903 DOI: 10.1007/s40271-025-00727-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/07/2025] [Indexed: 01/30/2025]
Abstract
Using patient preference information (PPI) to incorporate patient voices into the drug development lifecycle can help align therapies with the needs and values of patients. However, several barriers have limited the use of PPI, including a lack of clarity on its use by decision-makers, a need for greater decision-maker trust in PPI, and a lack of time, budgets, and access to specialist expertise. The value proposition for PPI could be enhanced by making it FAIR: Findable, Accessible, Interoperable, and Reusable. To support the development of a research agenda to deliver FAIR PPI, we reviewed related endeavors in the development of repositories of existing studies, disease models, benefit transfer, and common data standards. We concluded that developing FAIR PPI would require advances in the science of PPI, including the establishment of a consortium, mirroring the Clinical Data Interchange Standards Consortium (CDISC) or Observational Medical Outcomes Partnership (OPOM), to develop PPI data standards, and research into the sources of variation in patient preferences. This will require the science of PPI to graduate from being a body of empirical observations to developing theories that explain variations in patient preferences, simultaneously driving both efficiency in the generation of PPI and trust in PPI.
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Affiliation(s)
| | | | | | - Bennett Levitan
- Janssen Research & Development, Washington Crossing, PA, USA
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Zhang T, Bai Z, Zhao B, Chen Y, Zhang C. Preferences of Cancer Survivors for Follow-Up Care: A Systematic Review of Discrete Choice Experiments. THE PATIENT 2025; 18:115-129. [PMID: 39482547 DOI: 10.1007/s40271-024-00722-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/13/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND AND OBJECTIVE Cancer survivors frequently encounter multiple challenges, including physical, psychological, social, emotional, and financial difficulties. These challenges significantly impact their quality of life and recovery process. This systematic review intends to delineate and assess the evidence gathered from discrete choice experiments, aiming to unravel the preferences of cancer survivors towards their follow-up care. METHODS A systematic literature review was conducted across PubMed, Web of Science, Embase, CINAHL, PsycINFO, CNKI, Wanfang, and SinoMed databases up to July 2024. Two reviewers independently conducted the screening, data extraction, and quality appraisal of the studies. The collected data were synthesized through a narrative approach. Additionally, semi-quantitative analyses were used to evaluate the frequency, importance, and significance of each attribute. RESULTS Eight studies conducted across four countries were analyzed, yielding 41 distinct attributes grouped into eight main categories and 14 subcategories, further refined by subject matter. Despite the differences in payment systems between countries, the type of provider topped the list of preferences for cancer survivors' follow-up care. Next in preference was the contact modality. Service quality (comprehensive plans, personalized service, detailed information) was also valued. However, opinions diverged on continuity, additional support, and service frequency. CONCLUSIONS The attributes of follow-up care preferences integrated in this review demonstrate a diverse range among cancer survivors. Generally, they prioritize skilled professionals, flexible contact modality, and other high-quality follow-up care elements. Future studies should analyze cancer survivors' preferences for follow-up care from the perspectives of different stakeholders, and further consider internal and external factors to ensure authentic decision making.
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Affiliation(s)
- Tongyu Zhang
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhuobing Bai
- School of International Trade and Economics, Central University of Finance and Economics, Room 1021, CUFE Building, 39 South College Road, Beijing, 102206, China
| | - Bingyan Zhao
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yu Chen
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Chunmei Zhang
- School of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
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Brozek J, Borowiack E, Sadowska E, Nowak A, Sousa-Pinto B, Vieira RJ, Bognanni A, Yepes Nuñez JJ, Zhang Y, Zuberbier T, Bousquet J, Schünemann HJ. Patients' values and preferences for health states in allergic rhinitis-An artificial intelligence supported systematic review. Allergy 2024; 79:1812-1830. [PMID: 38551028 DOI: 10.1111/all.16100] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/21/2024] [Accepted: 02/29/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND Allergic rhinitis (AR) impacts patients' physical and emotional well-being. Assessing patients' values and preferences (V&P) related to AR is an essential part of patient-centered care and of the guideline development process. We aimed to systematically summarize the information about patients' V&P on AR and its symptoms and impact on daily life. METHODS We conducted systematic review in a MEDLINE, Embase, PsychInfo, and CINAHL databases. We included studies which quantitatively assessed patients' V&P for specific outcomes in AR by assessing utilities, applying discrete choice approaches, or rating and ranking outcomes. We grouped outcomes as AR symptoms, functional status, and care-related patient experience. Study selection and data extraction were supported by the Laser AI tool. We rated the certainty of evidence (CoE) using the GRADE approach. RESULTS Thirty-six studies (41 records) were included: nine utility studies, seven direct-choice studies and 21 studies of rating or ranking outcomes. Utilities were lower with increased AR severity and with the concomitant presence of asthma, but not with whether AR was seasonal or perennial (CoE = low-high). Patients rated AR symptom-related outcomes as more important than those related to care-related patient experience and functional status (CoE = very low-moderate). Nasal symptoms (mainly nasal congestion) followed by breathing disorders, general and ocular symptoms were rated as the symptoms with the highest impact. CONCLUSIONS This systematic review provides a comprehensive overview of V&P of patients with AR. Patients generally considered nasal symptoms as the most important. Future studies with standardized methods are needed to provide more information on V&P in AR.
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Affiliation(s)
- Jan Brozek
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Michael G. DeGroote Cochrane Canada & McMaster GRADE Centres, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
- Evidence Prime, Hamilton, Ontario, Canada
| | | | | | | | - Bernardo Sousa-Pinto
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal
- Centre for Health Technology and Services Research, Health Research Network (CINTESIS@RISE), Faculty of Medicine, University of Porto, Porto, Portugal
| | - Rafael José Vieira
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal
- Centre for Health Technology and Services Research, Health Research Network (CINTESIS@RISE), Faculty of Medicine, University of Porto, Porto, Portugal
| | - Antonio Bognanni
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, Evidence in Allergy Group, McMaster University, Hamilton, Canada
| | - Juan Jose Yepes Nuñez
- School of Medicine, Universidad de los Andes, Bogotá, Colombia
- Fundación Santa Fe de Bogotá Hospital University, Bogotá, Colombia
| | - Yuan Zhang
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Torsten Zuberbier
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
- Fraunhofer Cluster of Excellence for Immune-Mediated Diseases CIMD, Frankfurt/Main, Germany
| | - Jean Bousquet
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
- Fraunhofer Cluster of Excellence for Immune-Mediated Diseases CIMD, Frankfurt/Main, Germany
| | - Holger J Schünemann
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Michael G. DeGroote Cochrane Canada & McMaster GRADE Centres, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
- Clinical Epidemiology and Research Center (CERC), Humanitas University and Humanitas Research Hospital, Milan, Italy
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Vo LK, Allen MJ, Cunich M, Thillainadesan J, McPhail SM, Sharma P, Wallis S, McGowan K, Carter HE. Stakeholders' preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments. Soc Sci Med 2024; 340:116459. [PMID: 38048738 DOI: 10.1016/j.socscimed.2023.116459] [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: 05/11/2023] [Revised: 09/27/2023] [Accepted: 11/23/2023] [Indexed: 12/06/2023]
Abstract
This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.
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Affiliation(s)
- Linh K Vo
- Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Social Work and Public Health, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
| | - Michelle J Allen
- Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Social Work and Public Health, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
| | - Michelle Cunich
- Charles Perkins Centre, Faculty of Medicine and Health, Sydney Medical School, Central Clinical School Central Sydney (Patyegarang) Precinct, The University of Sydney, John Hopkins Dr, Camperdown, NSW, 2006, Australia; Sydney Health Economics Collaborative, Sydney Local Health District, King George V Building, Camperdown, NSW, 2050, Australia; Implementation and Policy, Cardiovascular Initiative, The University of Sydney, Camperdown, NSW, 2050, Australia; Sydney Institute for Women, Children and Their Families, 18 Marsden Street, Camperdown, NSW, 2050, Australia.
| | - Janani Thillainadesan
- Centre for Education and Research on Ageing, Department of Geriatric Medicine, Concord Hospital, Hospital Rd, Concord, NSW, 2139, Australia; Faculty of Medicine and Health, The University of Sydney, Science Rd, Camperdown, NSW, 2050, Australia.
| | - Steven M McPhail
- Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Social Work and Public Health, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia; Digital Health and Informatics Directorate, Metro South Health, Ipswich Road, QLD, 4102, Australia.
| | - Pakhi Sharma
- Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Social Work and Public Health, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
| | - Shannon Wallis
- Preventative and Prison Health Services, West Moreton Health, 2 Bell Street, Ipswich, QLD, 4305, Australia.
| | - Kelly McGowan
- Preventative and Prison Health Services, West Moreton Health, 2 Bell Street, Ipswich, QLD, 4305, Australia.
| | - Hannah E Carter
- Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Social Work and Public Health, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia.
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Niño-de-Guzmán E, Bracchiglione J, Vásquez-Mejía A, de Graaf G, Rocha Calderón C, Alonso-Coello P. How Do Patients With Type 2 Diabetes Mellitus Value the Importance of Outcomes? An Overview of Reviews. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:1782-1794. [PMID: 37516195 DOI: 10.1016/j.jval.2023.07.003] [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: 09/25/2022] [Revised: 04/16/2023] [Accepted: 07/16/2023] [Indexed: 07/31/2023]
Abstract
OBJECTIVES We aimed to assess how patients value the importance of type 2 diabetes mellitus (T2DM) related outcomes. METHODS Overview of systematic reviews (SRs) reporting patients' utilities or disutilities for T2DM outcomes. We searched 3 databases from inception until June 2021. Study selection and data extraction were conducted in pairs. We evaluated the quality of SRs with the Joanna Briggs Institute Checklist, and the overlap with the corrected covered area. We estimated descriptive statistics, and, when possible, conducted metanalysis. RESULTS We identified 11 SRs, including 119 studies and 70 outcomes. Most reviews were high-quality SRs. The outcomes with the lowest utilities were hypoglycemia with very severe symptoms (acute complications), stroke (macrovascular complications), diabetic peripheral neuropathy with severe pain (microvascular complications), extreme obesity (comorbidities), and insulin only or combined (management of diabetes). Good/excellent glucose control and noninsulin injectable showed higher values than T2DM without complications. The outcomes with the highest disutilities were amputation, depression, major hypoglycemia, stroke, and management using only insulin. CONCLUSIONS We provide standardized, reliable utility values (or associated disutilities) for T2DM, acute, microvascular and macrovascular complications, related comorbidities and treatments that may support judgments when making clinical recommendations, designing decision support tools, and developing interventions and economic analysis.
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Affiliation(s)
- Ena Niño-de-Guzmán
- Iberoamerican Cochrane Centre, Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Cancer Prevention and Control Programme, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain; Department of Pediatrics, Obstetrics, Gynecology and Preventive Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Javier Bracchiglione
- Iberoamerican Cochrane Centre, Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaíso, Valparaíso, Chile; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Adrián Vásquez-Mejía
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Perú
| | - Gimon de Graaf
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Claudio Rocha Calderón
- Iberoamerican Cochrane Centre, Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Centre, Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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Li Y, Lau LKW, Peng K, Zhang D, Dong D, Wong ICK, Li X. Factors influencing choice of b/ts DMARDs in managing inflammatory arthritis from a patient perspective: a systematic review of global evidence and a patient-based survey from Hong Kong. BMJ Open 2023; 13:e069681. [PMID: 37827733 PMCID: PMC10583073 DOI: 10.1136/bmjopen-2022-069681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 09/21/2023] [Indexed: 10/14/2023] Open
Abstract
OBJECTIVES To investigate factors concerning patients regarding biological/target synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) in treating inflammatory arthritis (IA). DESIGN This study consists of a systematic review and a cross-sectional survey in Hong Kong. A systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses was conducted on PubMed, Web of Science, Cochrane and Embase between 1 January 2000 and 1 January 2022. Content analysis was conducted to summarise factors grouped by four themes-social aspects (SA), clinical aspects (CA), medicine characteristics (MC) and financial aspects (FA) in the decision-making process. One cross-sectional survey among Hong Kong patients with IA was conducted to add to global evidence. SETTING A systematic review of global evidence and a patient-based survey in Hong Kong to complement scarce evidence in Asia regions. RESULTS The systematic review resulted in 34 studies. The four themes were presented in descending order consistently but varied with frequency throughout decision-making processes. During decision-making involving medication initiation, preference and discontinuation, MC (reported frequency: 83%, 86%, 78%), SA (56%, 43%, 78%) and FA (39%, 33%, 56%) were the three most frequently reported factors, whereas CA was less studied. Local survey also revealed that MC factors such as treatment efficacy and the probability of severe adverse events, and SA factors such as the availability of government or charity subsidy, influenced patients' initiation and preference for b/ts DMARDs. Meanwhile, self-estimated improvement in disease conditions (SA), drug side effects (MC) and drug costs (FA) were associated with treatment discontinuation. CONCLUSIONS Global and local evidence consistently indicate that MC and SA are important considerations in patients' decisions regarding novel DMARDs. Health policies that reduce patients' financial burden and enhances healthcare professionals' engagement in decision-making and treatment delivery should be in place with an efficient healthcare system for managing IA optimistically.
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Affiliation(s)
- Yihua Li
- Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Lauren K W Lau
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, People's Republic of China
| | - Kuan Peng
- Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
| | - Dexing Zhang
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Dong Dong
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, People's Republic of China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, People's Republic of China
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