{"title":"Using the Disclosure Decision-Making Model to Examine Patient Confusion Disclosure.","authors":"Brianna G Romeo, Jennifer L Bevan","doi":"10.1080/10410236.2023.2265121","DOIUrl":null,"url":null,"abstract":"<p><p>The disclosure decision-making model (DD-MM) has been heavily explored within its initially proposed scope. Fewer known studies have tested the DD-MM's boundaries by assessing the model's application beyond close personal relationships, and none have explored it in a context outside of long-term health conditions. The current study investigates the disclosure decision-making process of patients to their healthcare providers when they experience situational confusion. A primarily quantitative online survey analyzed data from 251 U.S. adults who felt confusion during a recent appointment with their healthcare provider. Findings indicate that, although stigma and perceived disclosure efficacy impacted patient confusion disclosure as anticipated, anticipated response and relational quality (i.e., receiver assessments) did not play a significant role in disclosure. Stigma, anticipated response, and perceived disclosure efficacy were all related to remaining patient confusion as expected. This study contributes to our understanding of the scope of disclosure decision-making model as well as the to-date overlooked nuances of situational patient confusion: what impacts confusion disclosure and its likelihood to remain beyond the appointment's end. Limitations, implications, and future directions are discussed.</p>","PeriodicalId":12889,"journal":{"name":"Health Communication","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Communication","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10410236.2023.2265121","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
The disclosure decision-making model (DD-MM) has been heavily explored within its initially proposed scope. Fewer known studies have tested the DD-MM's boundaries by assessing the model's application beyond close personal relationships, and none have explored it in a context outside of long-term health conditions. The current study investigates the disclosure decision-making process of patients to their healthcare providers when they experience situational confusion. A primarily quantitative online survey analyzed data from 251 U.S. adults who felt confusion during a recent appointment with their healthcare provider. Findings indicate that, although stigma and perceived disclosure efficacy impacted patient confusion disclosure as anticipated, anticipated response and relational quality (i.e., receiver assessments) did not play a significant role in disclosure. Stigma, anticipated response, and perceived disclosure efficacy were all related to remaining patient confusion as expected. This study contributes to our understanding of the scope of disclosure decision-making model as well as the to-date overlooked nuances of situational patient confusion: what impacts confusion disclosure and its likelihood to remain beyond the appointment's end. Limitations, implications, and future directions are discussed.
期刊介绍:
As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.