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dc.contributor.authorWittenberg, Eve
dc.contributor.authorBharel, Monica
dc.contributor.authorBridges, John F.P.
dc.contributor.authorWard, Zachary
dc.contributor.authorWeinreb, Linda
dc.date2022-08-11T08:09:45.000
dc.date.accessioned2022-08-23T16:41:57Z
dc.date.available2022-08-23T16:41:57Z
dc.date.issued2016-07-01
dc.date.submitted2016-08-16
dc.identifier.citation<p>Ann Fam Med. 2016 Jul;14(4):359-64. doi: 10.1370/afm.1937. <a href="http://dx.doi.org/10.1370/afm.1937">Link to article on publisher's site</a></p>
dc.identifier.issn1544-1709 (Linking)
dc.identifier.doi10.1370/afm.1937
dc.identifier.pmid27401425
dc.identifier.urihttp://hdl.handle.net/20.500.14038/39989
dc.description.abstractPURPOSE: Best-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. METHODS: We 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. RESULTS: In 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). CONCLUSIONS: BWS 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.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27401425&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940467/
dc.subjectbest-worst scaling
dc.subjectcervical cancer
dc.subjectconjoint analysis
dc.subjecthomeless
dc.subjectmethods
dc.subjectstated preferences
dc.subjectvulnerable populations
dc.subjectBehavior and Behavior Mechanisms
dc.subjectCommunity Health and Preventive Medicine
dc.subjectFamily Medicine
dc.subjectHealth Services Administration
dc.subjectObstetrics and Gynecology
dc.subjectWomen's Health
dc.titleUsing Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women
dc.typeArticle
dc.source.journaltitleAnnals of family medicine
dc.source.volume14
dc.source.issue4
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/2799
dc.identifier.contextkey8985277
html.description.abstract<p>PURPOSE: Best-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.</p> <p>METHODS: We 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.</p> <p>RESULTS: In 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).</p> <p>CONCLUSIONS: BWS 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.</p>
dc.identifier.submissionpathoapubs/2799
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.source.pages359-64


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