ArticleAnnals of family medicine2016
Using Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women.
Article in Annals of family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Discrete Choice Experiments in Health State Valuation: A Systematic Review of Progress and New Trends.Applied health economics and health policy · 2023Pooled it
- Perceived Value of Transfusion Access and Hospice Services Among Patients With Blood Cancers.JAMA network open · 2025Article
- Assessment of Revascularization Preferences With Best-Worst Scaling Among Patients With Ischemic Heart Disease.Journal of cardiac failure · 2025Article
- Using stated preference methods to facilitate knowledge translation in implementation science.Implementation science communications · 2024Article
- Confronting Views of Companies and Authorities on Food Safety Issues-A Cross-Country Survey.Foods (Basel, Switzerland) · 2024Article
- Consumer Perception of Food Fraud in Serbia and Montenegro.Foods (Basel, Switzerland) · 2023Article
- Increasing Access to Buprenorphine for Opioid Use Disorder in Primary Care: an Assessment of Provider Incentives.Journal of general internal medicine · 2023Article
- Patient preferences, regret, and health-related quality of life among older adults with acute myeloid leukemia: A pilot longitudinal study.Journal of geriatric oncology · 2023Article
- Similarities and Differences in the Perception of Atopic Dermatitis Burden Between Patients, Caregivers, and Independent Physicians (AD-GAP Survey).Dermatology and therapy · 2023Article
- The Perspective of Patients and Health Professionals on the Prioritization of Assisted Reproductive Techniques. The PRIOFER Study.Patient preference and adherence · 2023Article
- Perceived antimicrobial dispensing practices in medicine outlets in Ghana: A maximum difference experiment design.PloS one · 2023Article
- Population preferences for non-pharmaceutical interventions to control the SARS-CoV-2 pandemic: trade-offs among public health, individual rights, and economics.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
- The effects of Covid-19 pandemic on food safety between Indonesia and Bangladesh: A comparative study.Heliyon · 2022Article
- Feasibility of Testing Client Preferences for Accessing Injectable Opioid Agonist Treatment (iOAT): A Pilot Study.Patient preference and adherence · 2022Article
- Covid-19 pandemic effects on food safety - Multi-country survey study.Food control · 2021Article
- Perception of farmers about endometritis prevention and control measures for zero-grazed dairy cows on smallholder farms in Rwanda.BMC veterinary research · 2020Article
- Health versus other sectors: Multisectoral resource allocation preferences in Mukono district, Uganda.PloS one · 2020Article
- Barriers to Pap Smear Among Homeless Women at Albuquerque Healthcare for the Homeless.Journal of community health · 2019Article
- Examining Generalizability of Older Adults' Preferences for Discussing Cessation of Screening Colonoscopies in Older Adults with Low Health Literacy.Journal of general internal medicine · 2019Article
- Adults Experiencing Homelessness in the US-Mexico Border Region: A Photovoice Project.Frontiers in public health · 2017Article
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Authors and funding
5 authors.
Funding
Abstract
purposeBest-worst scaling (BWS) is a survey method for assessing individuals' priorities. It identifies the extremes-best and worst items, most and least important factors, biggest and smallest influences-among sets. In this article, we demonstrate an application of BWS in a primary care setting to illustrate its use in identifying patient priorities for services.
methodsWe conducted a BWS survey in 2014 in Boston, Massachusetts, to assess the relative importance of 10 previously identified attributes of Papanicolaou (Pap) testing services among women experiencing homelessness. Women were asked to evaluate 11 sets of 5 attributes of Pap services, and identify which attribute among each set would have the biggest and smallest influence on promoting uptake. We show how frequency analysis can be used to analyze results.
resultsIn all, 165 women participated, a response rate of 72%. We identified the most and least salient influences on encouraging Pap screening based on their frequency of report among our sample, with possible standardized scores ranging from+1.0 (biggest influence) to -1.0 (smallest influence). Most important was the availability of support for issues beyond health (+0.39), while least important was the availability of accommodations for personal hygiene (-0.27).
conclusionsBWS quantifies patient priorities in a manner that is transparent and accessible. It is easily comprehendible by patients and relatively easy to administer. Our application illustrates its use in a vulnerable population, showing that factors beyond those typically provided in health care settings are highly important to women in seeking Pap screening. This approach can be applied to other health care services where prioritization is helpful to guide decisions.
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