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How health labels affect behavioural intentions and perceptions of illnesses.

How health labels affect behavioural intentions and perceptions of illnesses in adults.

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12618000392268
Enrollment
240
Registered
2018-03-16
Start date
2018-03-20
Completion date
2018-04-20
Last updated
2018-06-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

How clinicians describe a health problem influences the health decisions of patients. A recent systematic review (Nickel, et al., 2017) identified seven studies that provided participants with hypothetical scenarios that described health conditions. Each condition was described using two or more differing terminologies (medicalised or descriptive). For example, when a participant read a hypothetical scenario about polycystic ovary syndrome (PCOS), when the participant was given the name of the health condition (PCOS) compared with the description of a ‘hormonal imbalance’, they were more likely to have an ultrasound (Copp et al., 2017), or when told in the scenario their child had Gastro-oesophageal reflux compared with only a description of symptoms, participants had greater intention to treat the condition with medication (Scherer et al., 2013). These studies share several characteristics: subjects were young women, scenarios were hypothetical, and both investigated a single illness potentially prone to overdiagnosis. But they can only speculate on possible cognitive processes driving subjects’ decisions because they lack mechanisms to formally test possible psychological factors driving the changes in intentions. Using four hypothetical health conditions (each with a diagnostic labelled version and a description only version) we will analyse between group differences of participants intentions to undertake further tests. We will also report differences in satisfaction and confidence in decision making and explore the effects of participant characteristics (personality, health locus of control, regulatory focus, medical minimiser/maximiser), risk orientation, risk perceptions and stigma on intention to undertake further tests. Drawing from the extensive body of research on ‘perceptions of risk’ (Slovic 2000) and stigma (Brakel 2006), we will also explore differences in perceptions of risk between labelled and description only scenarios for each of four illnesses. Finally, we will conduct exploratory analysis of whether intentions to pursue follow on tests (as well as satisfaction and confidence in decision) differ by illness condition as well as by label versus description only. References: Nickel B, Barratt A, Copp T, Mynihan R, McCaffery K. Words do matter: a systematic review on how different terminologies for the same condition influences management preferences. BMJ Open 2017 Copp T, McCaffery K, Azizi L, Doust J, Mol BWJ, Jansen J. Influence of the disease label ‘polycystic ovary syndrome’ on intention to have an ultrasound and psychosocial outcomes: a randomised online study in young women. Human Reproduction 2017 Scherer LD, Zikmund-Fisher BJ, Fagerlin A, Tarini BA. Influence of “GERD” label on parents’ decision to medicate infants. Pediatrics 2013 Slovic P. (2000) The Perception of Risk. Brakel WH. Measuring health-related stigma – A review of the literature.

Interventions

We will conduct a single, on-line survey. Participants will be randomised to read either “labelled” or “description only” hypothetical scenarios. Scenarios describe the outcome of a recent health test using either the medical terms (label scenario) or descriptive terms (descriptive only scenario). There are both “labelled” and “descriptive only” scenarios for four health condition (pre-diabetes, mild hypertension, mild hyperlipidaemia, and chronic kidney disease stage 3a). Participants will read

We will conduct a single, on-line survey. Participants will be randomised to read either “labelled” or “description only” hypothetical scenarios. Scenarios describe the outcome of a recent health test using either the medical terms (label scenario) or descriptive terms (descriptive only scenario). There are both “labelled” and “descriptive only” scenarios for four health condition (pre-diabetes, mild hypertension, mild hyperlipidaemia, and chronic kidney disease stage 3a). Participants will read a random selection for two of the four scenarios in each category (labelled or description only), balanced to ensure even distribution of scenarios across participants. After reading the scenarios, participants will be asked to rate the likelihood of attending follow-up tests for the specific condition (either blood glucose level, kidney function, blood pressure or cholesterol). The survey is expected to take up to 20 minutes.

Sponsors

Bond University
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Primary purpose
Prevention
Masking
Blinded (masking used) (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
All
Age
45 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

General population from Australia, Canada and Ireland using a convenience sample of participants registered with the survey company Qualtrix

Exclusion criteria

<45 years

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 17, 2026