| Literature DB >> 31133076 |
Julia Lawton1, Maxine Blackburn2, Jenna P Breckenridge2,3, Nina Hallowell4, Conor Farrington5, David Rankin2.
Abstract
BACKGROUND: While a growing body of research has explored why people take part in clinical trials, this research has not considered how people's understandings, motivations and agendas might influence their conduct during a trial. This is an important area of enquiry because it is now widely recognised that an intervention might lead to different clinical outcomes when delivered as part of a trial than when implemented in routine clinical practice; however, the reasons for this are not fully understood. METHODS/Entities:
Keywords: Clinical trial; Diabetes; Medical device; Qualitative research; Technology; Trial effects; Trial participation
Mesh:
Year: 2019 PMID: 31133076 PMCID: PMC6537378 DOI: 10.1186/s13063-019-3373-9
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
key areas explored in the interviews
Baseline interview • Background information about study participant, including: who they live with and what they do (everyday work/school and family life); details about the child trial participant with type 1 diabetes if the interviewee is a parent • Experience of diabetes management prior to the trial, including: previous regimen used; any challenges and difficulties encountered undertaking diabetes management tasks and maintaining/achieving optimal blood glucose control; role and involvement of parents of child trial participants in undertaking diabetes management tasks ○ Probe to explore: food choices, experiences of counting carbohydrates, frequency of blood glucose testing, experiences of determining and administering insulin doses, use of blood glucose readings, etc. • Knowledge and understanding of closed-loop technology (e.g. how the closed-loop works and what it is meant to do, likes and dislikes); sources of this knowledge • Previous experiences of taking part in trials/closed-loop research • Experiences of being recruited into the trial; understandings of the trial and its purpose; reasons for agreeing to take part (or supporting child’s decision to take part) • Reactions to discovering oneself/one’s child had been randomised to the closed-loop system • Hopes, expectations and concerns regarding using the closed-loop during the trial | |
Follow-up interviews • Any changes in personal circumstances (e.g. employment, home set up, lifestyle), since previous interview • Experiences of using the closed-loop system during the trial, including likes and dislikes of using the technology; key challenges encountered using the closed-loop system; comparisons with previous regimen; reasons for using/not using the technology in the ways recommended by trial staff; parents’ views about children operating the closed-loop system • Experiences undertaking diabetes management tasks during the trial ○ Probe to explore reasons for any changes in key diabetes self-management tasks and behaviours since previous interview (e.g. changes in dietary choices, frequency of and views about blood glucose testing, reviewing blood glucose data, etc.) • Participants’ or parents’ level of involvement in managing diabetes while using the closed-loop system and how this compares with using previous regimen ○ Probe to explore whether participants’/parents’ focus on diabetes has changed in any way while taking part in the trial, and why • Perceptions and understandings of how the closed-loop system worked and how it affected one’s (or one’s child’s) blood glucose control • Views about impact of using the closed-loop system on quality of life • Input and support sought and received from staff during the trial; reasons for contacting staff for support • Views about how the technology could be improved, and why • Hopes and expectations regarding the future developments in closed-loop systems and other diabetes-related technology |
Demographic characteristics of study participants
| Characteristic | N | % | Mean ± SD and range |
|---|---|---|---|
| Adults ( | |||
| Female | 5 | 50.0 | |
| Age (years) | 39.6 ± 10.6, range 28–65 | ||
| Occupation | |||
| Professional | 5 | 50.0 | |
| Semi-skilled | 4 | 40.0 | |
| Manual | – | – | |
| Carer/not working | 1 | 10.0 | |
| Previous experience of using a closed loop | 3 | 30.0 | |
| Adolescents ( | |||
| Female | 2 | 40.0 | |
| Age—all children | 15.4 ± 1.5, range 13–17 | ||
| Education | |||
| Secondary school | 2 | 40.0 | |
| Higher education | 3 | 60.0 | |
| Previous experience of using a closed loop | 3 | 60.0 | |
| Parents of child participants ( | |||
| Female | 5 | 55.6 | |
| Age | 44.6 ± 5.6, range 35–53 | ||
| Occupation | |||
| Professional | 5 | 55.6 | |
| Semi-skilled | 2 | 22.2 | |
| Manual | 1 | 11.1 | |
| Carer/not working | 1 | 11.1 | |
| Previous experience of using a closed loop | 3 | 33.3 | |
*This includes parents who represented children aged ≤ 12 years (n = 5) and parents of adolescents aged 13–15 (n = 4). In one instance, both parents of a child aged 13–15 years participated in an interview