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Diabetes technology in Ageing: Insulin pumping in patients aged 65+ years

Diabetes Technology in Ageing: Comparison of results from clinical prioritisation statements, as identified by a survey of patients with type 1 diabetes on insulin pumps aged 65+, and diabetes clinical staff.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12624000237583
Enrollment
26
Registered
2024-03-11
Start date
2023-12-19
Completion date
2024-03-01
Last updated
2025-09-22

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

Conditions

None listed

Brief summary

This study aims to determine what older patients on insulin pumps and the specialist diabetes staff caring for these patients, might choose to prioritize during outpatients' discussions. The study aims to determine whether there is discordance between patients and staff in prioritization decisions. This will be assessed through the use of a software prioritization tool 1000minds, which will be administered to both patients and diabetes clinical staff. This prioritization tool has been populated with 10 statements about possible clinical topics for discussion. These 10 statements were developed following consultation with clinical and patient stakeholders. Additionally, the patient participants will be asked to complete a semi-structured interview questionnaire with a member of the research team which involves questions regarding their views and experiences using an insulin pump.

Interventions

Eligible participants (i.e. using an insulin pump with diabetes and aged 65+ years) will be asked to complete a 10-statement survey using the 1000minds decision-making and adaptive conjoint analysis software tool (see https://www.1000minds.com/). Participants will be asked to prioritize the 10 statements, in terms of what they would like to discuss at a routine diabetes clinic visit. Participants will access the survey via a desktop or laptop computer that will be set up with the 1000minds surve

Eligible participants (i.e. using an insulin pump with diabetes and aged 65+ years) will be asked to complete a 10-statement survey using the 1000minds decision-making and adaptive conjoint analysis software tool (see https://www.1000minds.com/). Participants will be asked to prioritize the 10 statements, in terms of what they would like to discuss at a routine diabetes clinic visit. Participants will access the survey via a desktop or laptop computer that will be set up with the 1000minds survey ready to go. They will be offered support to complete the online survey, with help from a member of the research team. The survey should typically take 15 minutes or less to complete. Additionally, participants will be interviewed by a research team member and asked semi-structured questions. These questions will explore their personal views and experiences of using an insulin pump. Baseline demographics and clinical information will also be collected. This questionnaire should also typically take 15 minutes or less to complete and so the total time for the interview (questionnaire and online survey) will be 30 minutes.

Sponsors

Te Whatu Ora Waitaha
Lead SponsorHospital

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

For patient participants: - Aged 65+ - Diabetes associated with absolute insulinopenia (e.g. type 1 diabetes, post-pancreatitis or total pancreatectomy) - Established on insulin pump for 3 months or more - Currently domiciled in the Canterbury region (New Zealand) For staff participants: - Health professionals working for Te Whatu Ora Waitaha Canterbury - Clinical experience working with insulin pumps

Exclusion criteria

For patient participants - Patients with type 2 diabetes -Patients who their attending physician has considered to be unsuitable for the study (within the context of the population studied this may relate to cognitive decline e.g. dementia or palliative care with limited life expectancy) For staff participants: None

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026