| Literature DB >> 35264220 |
Elaine Finucane1,2,3, Ann O'Brien4,5,6, Shaun Treweek7, John Newell8, Kishor Das8, Sarah Chapman9, Paul Wicks10, Sandra Galvin4,5, Patricia Healy4, Linda Biesty4, Katie Gillies7, Anna Noel-Storr11, Heidi Gardner7, Mary Frances O'Reilly12, Declan Devane4,5,13,14.
Abstract
BACKGROUND: Randomised trials are considered the gold standard in providing robust evidence on the effectiveness of interventions. However, there are relatively few initiatives to help increase public understanding of what randomised trials are and why they are important. This limits the overall acceptance of and public participation in clinical trials. The People's Trial aims to help the public learn about randomised trials, to understand why they matter, and to be better equipped to think critically about health claims by actively involving them in all aspects of trial design. This was done by involving the public in the design, conduct, and dissemination of a randomised trial.Entities:
Keywords: Methodology; Online; Public engagement; Randomised trial
Mesh:
Year: 2022 PMID: 35264220 PMCID: PMC8905031 DOI: 10.1186/s13063-021-05984-1
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Malcolm Knowles’ theory of andragogy five assumptions
| Assumptions | |
|---|---|
| Self-concept | Adult learners have an established sense of self-value and autonomy and benefit from active involvement in their learning. |
| Experience | Adult learners bring a lifetime of experience. To stimulate and maintain interest, participant’s life experiences should be, engaged with, and connected to during the learning process. |
| Readiness to learn | Readiness to learn stems from adult learners recognising and appreciating the intrinsic value of their newly acquired knowledge. |
| Learning orientation | Adults learn best through practical application or “learning by doing”. |
| Motivation to learn | Adult learners are generally motivated to learn by internal factors (i.e. self-esteem and self-value) rather than external factors (for example, a pay increase). |
Fig. 2The People’s Trial participant numbers by phase
Fig. 1Exemplar question
Top ten questions chosen by the public
| Rank | Percentage of votes received | Question |
|---|---|---|
| 1 | 19% | Does reading a book in bed make a difference to sleep in comparison with not reading a book in bed? |
| 2 | 14% | Does using a mobile phone before sleeping make a difference to sleep quality in comparison with not using a mobile phone before sleeping? |
| 3 | 12% | Does doing daily crosswords or puzzles make a difference to your memory in comparison with not doing daily crosswords or puzzles? |
| 4 | 10% | Does exercising right after waking up make a difference to productivity at work in comparison with not exercising right after waking up? |
| 5 | 10% | Does eating breakfast make a difference to concentration in the mornings in comparison with not eating breakfast? |
| 6 | 9% | Does not viewing social media make a difference to short-term mood in comparison with viewing social media? |
| 7 | 9% | Does going for a walk outside at lunchtime make a difference to concentration in the afternoon in comparison with not going for a walk at lunchtime? |
| 8 | 6% | Does light exercise in the evening make a difference to sleep quality in comparison with no exercise in the evening? |
| 9 | 6% | Does outdoor exercise make a difference to short-term mood in comparison with indoor exercise? |
| 10 | 5% | Does spending time outdoors make a difference to short-term mood in comparison with not spending time outdoors? |
Fig. 3The Reading Trial consort flow diagram
Summary statistics for participant characteristics at the start of ‘The Reading Trial’
| People who took part in The Reading Trial | Reading group ( | Not reading group ( |
|---|---|---|
| Age | ||
| 18–24 years | 21 (6%) | 28 (7%) |
| 25–44 years | 193 (52%) | 209 (51%) |
| 45–64 years | 123 (33%) | 145 (36%) |
| 65 years and over | 32 (9%) | 23 (6%) |
| Gender | ||
| Female | 289 (78%) | 325 (80%) |
| Male | 75 (20%) | 78 (19%) |
| Prefer not to say/ self-describe | 5 (1%) | 2 (0.5%) |
| Understanding of randomised trials | ||
| Good understanding | 251 (68%) | 278 (69%) |
| Some understanding | 101 (27%) | 105 (26%) |
| No understanding | 17 (5%) | 22 (5%) |
| Healthcare background | ||
| Healthcare | 238 (65%) | 269 (66%) |
| Not healthcare | 131 (34%) | 136 (34%) |
| Sleep quality at the start of the trial | ||
| Terrible | 7 (2%) | 6 (1%) |
| Poor | 51 (14%) | 51 (13%) |
| Fair | 175 (47%) | 181 (45%) |
| Good | 115 (31%) | 152 (37%) |
| Excellent | 21 (6%) | 15 (4%) |
Data are numbers of people (%)
Fig. 4Where the public want the results disseminated
Fig. 5How the public want the results disseminated
The People’s Trial website demographics
| Country | Number of unique visitors to |
|---|---|
| Ireland | 3205 (35%) |
| UK | 3198 (35%) |
| USA | 376 (4%) |
| France | 308 (3%) |
| Australia | 246 (3%) |
| Germany | 232 (3%) |
| Canada | 231 (3%) |
| Russia | 101 (1%) |
| India | 79 (0.86%) |
| Spain | 78 (0.85%) |
Fig. 6Age profile of website users