Dataset Information

A randomised on-line survey exploring how health condition labels affect behavioural intentions.

ABSTRACT: OBJECTIVES:We examined the effect of 'labels' versus 'descriptions' across four asymptomatic health conditions: pre-diabetes, pre-hypertension, mild hyperlipidaemia, and chronic kidney disease stage 3A, on participants' intentions to pursue further tests. There were four secondary objectives: 1) assessing confidence and satisfaction in their intention to test further; 2) revealing psychological drivers affecting intentions; 3) exploring whether intentions, confidence and satisfaction differ by label vs. description and health condition; and 4) producing a perceptual map of illnesses by label condition. METHODS:Practitioner validated health-related scenarios were used. Two variants of each condition were developed. Participants were recruited through Qualtrics from Australia, Ireland and Canada and randomly assigned two 'labelled' or two 'descriptive' scenarios. RESULTS:There was no significant difference in intentions to test between label and description conditions (95% CI -0.76 to 0.33 points, p = 0.4). Confidence and satisfaction were both positively associated with intentions: regression coefficient (?) for confidence ? = 0.58 points (95% CI 0.49 to 0.68, p < .001) and for satisfaction 0.67 points (95% CI 0.57 to 0.77, p < .001). Predisposition to seek healthcare (? = 0.72; 95% CI 0.47 to 0.98), attributing illness to bad luck (? = -0.16 points; 95% CI -0.3 to -0.02), and concern about the health condition (? = 0.51; 95% CI 0.38 to 0.65) also significantly predicted intentions. CONCLUSIONS:Unlike studies investigating symptomatic illnesses, the disease label effect on behavioural intentions was not supported suggesting that reducing demand for medical services for borderline cases cannot be achieved by labelling. The average intention to test score was higher in this sample than previous symptomatic health-related studies and there was a positive relationship between increased intentions and confidence/satisfaction in one's decision. Exploratory insights suggested perceptions of the four labelled asymptomatic illnesses all shifted toward greater levels of dread and concern compared to their respective description condition. TRIAL REGISTRATION:ACTRN12618000392268.

SUBMITTER: Thomas R

PROVIDER: S-EPMC7588049 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A randomised on-line survey exploring how health condition labels affect behavioural intentions.

Thomas Rae R Spence Mark T MT Roy Rajat R Beller Elaine E

PloS one 20201026 10

<h4>Objectives</h4>We examined the effect of 'labels' versus 'descriptions' across four asymptomatic health conditions: pre-diabetes, pre-hypertension, mild hyperlipidaemia, and chronic kidney disease stage 3A, on participants' intentions to pursue further tests. There were four secondary objectives: 1) assessing confidence and satisfaction in their intention to test further; 2) revealing psychological drivers affecting intentions; 3) exploring whether intentions, confidence and satisfaction dif ...[more]

PMID: 33104739

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Project description:BACKGROUND:Health care providers are driven by greater participation and systemic cost savings irrespective of benefits to individual patients derived from sharing Personal Health Information (PHI). Protecting PHI is a critical issue in the sharing of health care information systems; yet, there is very little literature examining the topic of sharing PHI electronically. A good overview of the regulatory, privacy, and societal barriers to sharing PHI can be found in the 2009 Health Information Technology for Economic and Clinical Health Act. OBJECTIVE:This study investigated the factors that influence individuals' intentions to share their PHI electronically with health care providers, creating an understanding of how we can represent a patient's interests more accurately in sharing settings, instead of treating patients like predetermined subjects. Unlike privacy concern and trust, patient activation is a stable trait that is not subject to change in the short term and, thus, is a useful factor in predicting sharing behavior. We apply the extended privacy model in the health information sharing context and adapt this model to include patient activation and issue involvement to predict individuals' intentions. METHODS:This was a survey-based study with 1600+ participants using the Health Information National Trends Survey (HINTS) data to validate a model through various statistical techniques. The research method included an assessment of both the measurement and structural models with post hoc analysis. RESULTS:We find that privacy concern has the most influence on individuals' intentions to share. Patient activation, issue involvement, and patient-physician relationship are significant predictors of sharing intention. We contribute to theory by introducing patient activation and issue involvement as proxies for personal interest factors in the health care context. CONCLUSIONS:Overall, this study found that although patients are open to sharing their PHI, they still have concerns over the privacy of their PHI during the sharing process. It is paramount to address this factor to increase information flow and identify how patients can assure that their privacy is protected. The outcome of this study is a set of recommendations for motivating the sharing of PHI. The goal of this research is to increase the health profile of the patients by integrating the testing and diagnoses of various doctors across health care providers and, thus, bring patients closer to the physicians.

Project description:IntroductionThough the WHO Framework Convention for Tobacco Control (FCTC) calls for the implementation of large graphic warning labels (GWLs) on cigarette boxes, the courts have blocked the implementation of 50% labels in the United States. We conducted an experiment to explore whether changing the size of GWLs is associated with changes in visual attention, negative affect, risk beliefs, and behavioral intentions.MethodWe recruited adult smokers (N = 238) and middle-school youth (N = 237) throughout the state of New York in May 2016. We randomly assigned participants to one of three between-subject conditions (no GWL [control], 30% GWL, 50% GWL).ResultsAdult and youth participants looked at the GWLs longer when the GWL covered 50% versus 30% of the pack's front. Increasing GWL size from 30% to 50% did not influence negative affect or risk beliefs, though both GWL sizes increased negative affect relative to the no-GWL control group. Exposure to 50% GWLs increased adult smokers' intentions to quit compared to no-GWL, but smokers exposed to 30% GWLs did not differ from control. There were no differences between 50% GWLs, 30% GWLs, and control on youth smoking susceptibility.ConclusionsFindings provide some evidence of the benefits of a 50% versus 30% GWL covering the front of the pack for adult smokers and at-risk youth from socioeconomically disadvantaged backgrounds-though not on all outcomes.ImplicationsThis research shows that 30% GWLs on cigarette packages increase negative affect relative to packages without front-of-package GWLs. Larger GWLs on cigarette packages (50% vs. 30%) increase visual attention to the warning and its pictorial content among low-SES smokers and at-risk youth but do not further increase negative affect. A 50% GWL increased adults' quit intention compared to no GWL at all, but we were underpowered to detect modest differences in quit intentions between a 50% and 30% GWL. Future work should thus continue to explore the boundary conditions under which relatively larger GWLs influence cognitive, affective, and behavioral outcomes.

Dataset Information

A randomised on-line survey exploring how health condition labels affect behavioural intentions.

Publications

A randomised on-line survey exploring how health condition labels affect behavioural intentions.

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