Patient-Patient Centered Outcomes Research最新文献

{"title":"Discrete Choice Experiment Versus Best-Worst Scaling: An Empirical Comparison in Eliciting Young People's Preferences for Web-Based Mental Health Interventions.","authors":"Thi Quynh Anh Ho, Lidia Engel, Long Khanh-Dao Le, Glenn Melvin, Jemimah Ride, Ha N D Le, Cathrine Mihalopoulos","doi":"10.1007/s40271-025-00739-5","DOIUrl":"10.1007/s40271-025-00739-5","url":null,"abstract":"<p><strong>Background: </strong>Discrete choice experiments (DCEs) and best-worst scaling (BWS) profile cases (BWS case 2, or BWS-2) have been increasingly used in eliciting preferences towards health care interventions. However, it remains unclear which method is more suitable for preference elicitation, particularly in the mental health context. This study aims to compare: (1) the preference results elicited from a DCE and BWS-2; and (2) the acceptability of the two methods in the context of web-based mental health interventions (W-MHIs) for managing anxiety and depression in young people.</p><p><strong>Methods: </strong>Participants were aged 18-25 years, lived in Australia, and self-reported experiencing anxiety and/or depression in the past 12 months. They also had either an intention to use W-MHIs or previous experience with W-MHIs for managing anxiety and/or depression. Recruitment was conducted online via social media and Deakin University notice boards. Eligible participants completed an online survey containing eight DCE and eight BWS-2 choice tasks. Both types of choice tasks comprised six attributes. A multinominal logit model was used to estimate the preference weights and relative importance of attributes. Acceptability was assessed on the basis of dropout rate, completion time, task difficulty, understanding, and participants' preferred type of choice task.</p><p><strong>Results: </strong>A total of 198 participants (mean age: 21.42 ± 2.3 years, 64.65% female) completed the survey. Both DCE and BWS-2 predicted that cost was the most important attribute in young people's decision to engage with W-MHIs. However, the two methods differed in the relative importance of attributes and the preference ranking of levels within attributes. The DCE was perceived as easier to understand and answer, with nearly 64% of the participants preferring it over the BWS-2.</p><p><strong>Conclusions: </strong>While both methods found cost was the most important attribute associated with engagement with W-MHIs, differences in the ranking of other attributes suggest that DCE and BWS-2 are not necessarily interchangeable. Increased acceptability by study participants of the DCE format suggests that this technique may have more merit than BWS-2-at least in the current study's context. Further research is required to identify the optimal method for determining the relative importance of attributes.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"357-372"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to Present a Decision Object in Health Preference Research: Attributes and Levels, the Decision Model, and the Descriptive Framework.","authors":"Axel C Mühlbacher, Esther W de Bekker-Grob, Oliver Rivero-Arias, Bennett Levitan, Caroline Vass","doi":"10.1007/s40271-024-00673-y","DOIUrl":"10.1007/s40271-024-00673-y","url":null,"abstract":"<p><p>In health preference research (HPR) studies, data are generated by participants'/subjects' decisions. When developing an HPR study, it is therefore important to have a clear understanding of the components of a decision and how those components stimulate participant behavior. To obtain valid and reliable results, study designers must sufficiently describe the decision model and its components. HPR studies require a detailed examination of the decision criteria, detailed documentation of the descriptive framework, and specification of hypotheses. The objects that stimulate subjects' decisions in HPR studies are defined by attributes and attribute levels. Any limitations in the identification and presentation of attributes and levels can negatively affect preference elicitation, the quality of the HPR data, and study results. This practical guide shows how to link the HPR question to an underlying decision model. It covers how to (1) construct a descriptive framework that presents relevant characteristics of a decision object and (2) specify the research hypotheses. The paper outlines steps and available methods to achieve all this, including the methods' advantages and limitations.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"291-302"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139716661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying and Managing Fraudulent Respondents in Online Stated Preferences Surveys: A Case Example from Best-Worst Scaling in Health Preferences Research.","authors":"Karen V MacDonald, Geoffrey C Nguyen, Maida J Sewitch, Deborah A Marshall","doi":"10.1007/s40271-025-00740-y","DOIUrl":"10.1007/s40271-025-00740-y","url":null,"abstract":"<p><strong>Background: </strong>There is limited evidence and guidance in health preferences research to prevent, identify, and manage fraudulent respondents and data fraud, especially for best-worst scaling (BWS) and discrete choice experiments with nonordered attributes. Using an example from a BWS survey in which we experienced data fraud, we aimed to: (1) develop an approach to identify, verify, and categorize fraudulent respondents; (2) assess the impact of fraudulent respondents on data and results; and (3) identify variables associated with fraudulent respondents.</p><p><strong>Methods: </strong>An online BWS survey on healthcare services for inflammatory bowel disease (IBD) was administered to Canadian IBD patients. We used a three-step approach to identify, verify, and categorize respondents as likely fraudulent (LF), likely real (LR), and unsure. First, responses to 12 \"red flag\" variables (variables identified as indicators of fraud) were coded 0 (pass) or 1 (fail) then summed to generate a \"fraudulent response score\" (FRS; range: 0-12 (most likely fraudulent)) used to categorize respondents. Second, respondents categorized LR or unsure underwent age verification. Third, categorization was updated on the basis of age verification results. BWS data were analyzed using conditional logit and latent class analysis. Subgroup analysis was done by final categorization, FRS, and red flag variables.</p><p><strong>Results: </strong>Overall, n = 4334 respondents underwent initial categorization resulting in 24% (n = 1019) LF and 76% (n = 3315) needing further review. After review, 75% (n = 3258) were categorized as LF and n = 484 underwent age verification. Respondent categorization was updated on the basis of age verification, with final categorization of 76% (n = 3297) LF, 14% (n = 592) unsure, 10% (n = 442) LR, and < 1% (n = 3) duplicates of LR. BWS item rankings differed most by respondent category. Latent class analysis demonstrated final categorization was significantly associated with class membership; class 1 had characteristics consistent with LR respondents and item ranking order for class 1 closely aligned with LR respondent conditional logit results. Suspicious email was the most frequently failed red flag variable and was associated with fraudulent respondents.</p><p><strong>Conclusions: </strong>Additional steps to review data and verify age resulted in better categorization than only FRS or single red flag variables. Email authentication, single use/unique survey links, and built-in identification verification may be most effective for fraud prevention. Guidance is needed on good research practices for most effective and efficient approaches for preventing, identifying, and managing fraudulent data in health preferences research, specifically in studies with nonordered attributes.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"373-390"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-designing Healthcare Interventions with Users: A Discrete Choice Experiment to Understand Young People's Preferences for Sexual and Reproductive Health Services in Lusaka, Zambia.","authors":"Lawrence Mwenge, Matthew Quaife, Lucheka Sigande, Sian Floyd, Melvin Simuyaba, Mwelwa Phiri, Chisanga Mwansa, Mutale Kabumbu, Musonda Simwinga, Kwame Shanaube, Ab Schaap, Sarah Fidler, Richard Hayes, Helen Ayles, Bernadette Hensen, Peter Hangoma","doi":"10.1007/s40271-025-00737-7","DOIUrl":"10.1007/s40271-025-00737-7","url":null,"abstract":"<p><strong>Introduction: </strong>Like in many countries, coverage of sexual and reproductive health (SRH) services among adolescents and young people (AYP) aged 15-24 remains low in Zambia. Increasing coverage of SRH services requires interventions that are responsive to the needs and preferences of AYP. We conducted a discrete choice experiment (DCE) to elicit AYP's preferences for SRH service delivery in Lusaka, Zambia.</p><p><strong>Methods: </strong>A cross-sectional DCE was conducted with AYP aged 15-24 years. Consenting participants were presented with alternative SRH service delivery strategies represented by six attributes, namely: location, type of provider, type of services, service differentiation by sex, availability of edutainment, and opening hours. Multinomial logit and random parameters logit models were used to analyse the data. All variables were effect coded.</p><p><strong>Results: </strong>A total of 423 AYP aged 15-24 years (61% female) completed the DCE. Respondents preferred SRH services that were integrated with other healthcare services (b = 0.65, p < 0.001), delivered by medical staff and peer support workers (b = 0.44, p < 0.001), and provided at a hub within a health facility (b = 0.62, p < 0.001). AYP also preferred services to be available on weekends during the daytime (b = 0.37, p < 0.001). Participants also preferred alternatives which included edutainment (b = 0.22, p < 0.001). Service differentiation by sex had little effect on the preference for SRH service delivery (b = - 0.05, p = 0.08). The coefficient for the \"neither\" option was negative and statistically significant (b = - 5.31, p < 0.001), implying that AYP did not favor routine SRH service delivery in an outpatient department.</p><p><strong>Conclusion: </strong>Efforts to increase SRH service utilization among AYP should focus on providing comprehensive SRH services that are integrated with other healthcare services. These services should be delivered by a combination of medical staff and peer supporter workers in youth-friendly spaces. Careful attention should be paid to opening times to ensure that these are convenient to AYP.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"391-402"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do Design Characteristics Affect Respondent Engagement? Assessing Attribute Non-attendance in Discrete Choice Experiments Valuing the EQ-5D-5L.","authors":"Peiwen Jiang, Deborah Street, Richard Norman, Rosalie Viney, Mark Oppe, Brendan Mulhern","doi":"10.1007/s40271-025-00735-9","DOIUrl":"10.1007/s40271-025-00735-9","url":null,"abstract":"<p><strong>Introduction: </strong>Discrete choice experiments (DCEs) are increasingly applied to develop value sets for health-related quality-of-life instruments, but respondents may adopt various simplifying heuristics that affect the resulting health state values. Attribute level overlap can make these DCE tasks easier and thereby increase respondent engagement. This study uses choice tasks involving EQ-5D-5L health states to compare designs with and without overlap, constructed using different methods (generator-developed design, Ngene, SAS, and Bayesian D-efficient design) to assess respondent non-attendance to attributes.</p><p><strong>Methods: </strong>A multi-arm DCE using the EQ-5D-5L was conducted in the Australian general population. The performance of designs with various properties was compared using the level of respondent engagement. Respondent engagement was quantified through the inferred attribute non-attendance (ANA) estimated by the equality constrained latent class model. Utility decrements derived using all respondents (i.e., including non-attendees) were compared with estimates obtained only from those who attended to all EQ-5D-5L attributes.</p><p><strong>Results: </strong>The inclusion of overlap improved full attendance rates from 22.3-28.4% to 28.2-54.2%. Within designs with overlap, modified Fedorov designs (constructed using either Ngene or SAS macros) had higher full attendance rates than other designs. The relative attribute importance of the EQ-5D-5L also differed significantly before and after data exclusion using ANA analysis, but there was no clear pattern in the differences.</p><p><strong>Conclusions: </strong>This study found evidence to support the use of modified Fedorov designs (constructed using Ngene or SAS) with attribute overlap to reduce ANA and improve respondent engagement in DCE studies. It highlights the potential value of ANA analysis as a quality-control tool for the inclusion and exclusion of respondents in future health valuation work for the EQ-5D-5L.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"329-341"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170736/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elderly People's Preferences for Different Organizational Models for Frailty Screening: A Discrete Choice Experiment.","authors":"Lucile Mulot, Fanny Monmousseau, Sophie Dubnitskiy-Robin, Maurine Diot, Pierre Marionnaud, Solène Brunet-Houdard, Bertrand Fougere","doi":"10.1007/s40271-025-00738-6","DOIUrl":"10.1007/s40271-025-00738-6","url":null,"abstract":"<p><strong>Objectives: </strong>Frailty dimensions can be evaluated in a comprehensive geriatric assessment (CGA). As frailty is often reversible, early detection can help to maintain a person's independence. The objective of the present study was to identify organizational factors that would encourage people aged 60 years or over to agree to frailty screening.</p><p><strong>Methods: </strong>A face-to-face discrete choice experiment was conducted to elicit older adults' preferences for five attributes of the CGA: the initiator, pre-assessment, location, schedules, and announcement of the results. To assess the relative importance of attributes and explore relationships between preferences and participant characteristics, the data were analyzed using conditional logit, mixed logit, and bivariate probit models.</p><p><strong>Results: </strong>A total of 224 people (women: 61.2%; mean age: 72.2 years; urban dwellers: 61.6%; caregivers for other people: 35.6%) completed the survey. The CGA initiator, schedules, and location significantly influenced the respondents' preferences. The organizational preferences varied according to the respondent's quality of life and relationship with the family physician, as well as knowledge of the CGA; while agreement to attend a CGA depended on the person's gender, living environment, socioprofessional category, and caregiver status. Ideally, the CGA should be initiated by the family physician, carried out at the family physician's office or in hospital (but not at home), and split into two parts on the same day. The CGA results should preferably be presented by the healthcare professional who carried out the assessment.</p><p><strong>Conclusions: </strong>Early frailty screening by a mobile geriatric team or specifically trained professionals in a neutral location close to the older person's home might be envisaged.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":"343-355"},"PeriodicalIF":3.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144007813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Considering Clinical Implementation of Polygenic Scores in Hereditary Cancer Risk Assessment: Recipients' Perspectives on Influencing Factors and Strategies.","authors":"Rebecca Purvis, Natalie Taylor, Paul James, Mary-Anne Young, Laura E Forrest","doi":"10.1007/s40271-025-00747-5","DOIUrl":"https://doi.org/10.1007/s40271-025-00747-5","url":null,"abstract":"<p><strong>Background: </strong>Polygenic scores (PGS) capture a proportion of the genomic liability for cancer in unselected and high-risk cohorts, with meaningful application in improving risk-stratified screening and management. However, there are significant evidence gaps regarding future clinical implementation. Despite being key interest-holders, recipient views are underrepresented. The objective of this study was to explore recipients' views on the clinical implementation of PGS for hereditary cancer risk assessment in Australian cancer genetics clinics.</p><p><strong>Methods: </strong>Three video-conferenced focus groups were conducted with recipients who had been given their breast and ovarian cancer PGS through the PRiMo trial. Nominal Group Technique was used to enable evaluation of implementation determinants and strategies, and priority setting. Descriptive and deductive content analyses were conducted utilising the Consolidated Framework for Implementation Research and the Expert Recommendations for Implementing Change compilation of facilitative strategies.</p><p><strong>Results: </strong>Participants (N = 10) were female, with an average age of 36 years (range 18-70 years). Of these, 50% (N = 5) experienced a change in their hereditary cancer risk assessment due to their PGS. Participants prioritised the positive value and impact of PGS, and the behavioural characteristics of recipients, notably their knowledge and expectations of PGS and cancer genetics clinics, as major determinants of implementation success. Implementation strategies that prepared and supported recipients to access, engage, and use PGS were emphasised, with a focus on a clear results report, educational resources, in-clinic resources, and delivery of ongoing good clinical follow-up.</p><p><strong>Conclusion: </strong>Evidence-based strategies should be deployed to address recipients' priority barriers to the clinical implementation of PGS for hereditary cancer risk assessment. Centralising recipient voices in implementation design will improve effectiveness and success.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Content Validity of the EQ-HWB in Caregivers of Children with Health Conditions.","authors":"Cate Bailey, Tessa Peasgood","doi":"10.1007/s40271-025-00749-3","DOIUrl":"https://doi.org/10.1007/s40271-025-00749-3","url":null,"abstract":"<p><strong>Introduction: </strong>The EQ Health and Wellbeing instrument (EQ-HWB) is a new generic instrument designed for evaluation across health, social care, community, and caregiver populations. It has 25-item (EQ-HWB) and 9-item (EQ-HWB-S) versions. Validation across target populations is needed. As the instrument remains in an 'experimental' phase, modifications are being considered, including to item wording, item order, and positive versus negative framing of three items. We aimed to investigate the content validity of the EQ-HWB for caregivers of children with chronic health conditions and explore the potential modifications.</p><p><strong>Methods: </strong>In total, 21 caregivers from an Australian children's hospital sample completed semi-structured interviews, answering the 25 EQ-HWB items while 'thinking aloud', followed by interviewer probing. Interviews and coding focused on the COSMIN components of relevance, comprehension (understanding), and comprehensiveness.</p><p><strong>Results: </strong>Most EQ-HWB items were relevant and well understood by participants, especially the psychosocial items (e.g., loneliness, anxiety). Some participants were confused by the wording in the seeing and hearing items, which were also less relevant in this population. The item 'feeling unsafe' was only relevant for a few participants, but most considered it important. Responses to potential modifications to items were mixed. Many participants were keen to keep the three positively worded items. Some participants suggested that finishing with positive items may mitigate negative feelings on completion.</p><p><strong>Conclusions: </strong>EQ-HWB items have high relevance and are generally well understood by caregivers of children with health conditions. We recommend endorsing the modifications we tested for the EQ-HWB-S.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preferences for Telephone Cancer Information and Support in People with Cancer and Carers: Attribute and Level Selection for a Discrete Choice Experiment.","authors":"Ann Livingstone, Lidia Engel, Victoria White, Daswin De Silva, Jessica Bucholc, April Murphy, Elaine Cook, Cathrine Mihalopoulos, Liliana Orellana, Julie Ratcliffe, Danielle Spence, Nikki McCaffrey","doi":"10.1007/s40271-025-00746-6","DOIUrl":"https://doi.org/10.1007/s40271-025-00746-6","url":null,"abstract":"<p><strong>Background and objective: </strong>Telephone cancer information and support services (CISS) deliver essential evidence-based resources for people living with cancer. This research aimed to describe how attributes and levels were developed for a future discrete choice experiment to elicit preferences for operational characteristics of a CISS, focusing on Cancer Council Victoria's service.</p><p><strong>Methods: </strong>Using a mixed-methods approach guided by the ISPOR checklist for conjoint analysis in healthcare, initial attributes were developed using an artificial intelligence framework to analyse CISS calls (January 2018-December 2021), focus groups with people with cancer and carers using the CISS (July-August 2022), and a systematic literature review of qualitative studies. A four-stage descriptive process guided attribute and level development. An expert panel of researchers (n = 10), a CISS staff member, a person with lived experience of cancer and a consumer-only panel (n = 7) met monthly to prioritise, refine and finalise attributes by consensus.</p><p><strong>Results: </strong>Call data analysis (people with cancer n = 7701; carers n = 5500), six focus groups (people with cancer n = 10; carers n = 11) and a systematic literature review of qualitative studies generated 14 candidate attributes. The expert panels selected seven final attributes, each with three levels: follow-up call, operating hours, additional technology, operator type, operator consistency, call length and service fee.</p><p><strong>Conclusions: </strong>Transparent reporting of the discrete choice experiment design process is essential for credible interpretation. The four-stage approach enhanced the comprehensibility of the experiment, as multi-modal data ensured the selected attributes and levels accurately reflect CISS caller priorities, which may be applicable to other choice-based studies.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engaging Underserved Populations in Health Preference Research: Challenges and Strategies.","authors":"Paula Sinead Donnelly, Divya Mohan, Hannah Penton, Emily Wilson, Marco Boeri","doi":"10.1007/s40271-025-00745-7","DOIUrl":"https://doi.org/10.1007/s40271-025-00745-7","url":null,"abstract":"<p><p>Health preference research plays a critical role in shaping healthcare policy and decision-making; however the underrepresentation of underserved populations challenges the validity and reliability of preference estimates. Despite efforts to diversify recruitment, health preference studies often have limited demographic diversity and non-representative sampling, leading to potentially biased findings that overlook the preferences of underserved populations. We discuss the importance of engaging underserved populations in health preference research from both ethical and research perspectives. We identify key challenges to the inclusion of underserved groups and outline strategies to address them, illustrating these with examples where possible. By prioritising inclusive and flexible methodologies, health preference researchers can generate more representative data, ensuring that estimates reflect the diverse needs and values of all populations. Ultimately, these efforts will support the development of more equitable, evidence-based, and impactful healthcare policies.</p>","PeriodicalId":51271,"journal":{"name":"Patient-Patient Centered Outcomes Research","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}