| Literature DB >> 35236353 |
Alvin Ho-Ting Li1,2,3, Amit X Garg4,5,6,7, Jeremy M Grimshaw8,9, Versha Prakash10, Alexie J Dunnett4, Stephanie N Dixon4,5,6, Monica Taljaard8,11, Joanna Mitchell12, Kyla L Naylor5,13, Cathy Faulds13, Rachel Bevan13, Leah Getchell4, Greg Knoll8,9, S Joseph Kim14, Jessica Sontrop4,5,6, Allison Tong15, Lise M Bjerre11,16, Karyn Hyjek10, Donna Currie12, Susan Edwards12, Mike Sullivan12, Linda Harvey-Rioux12, Justin Presseau8,11,17.
Abstract
BACKGROUND: The shortage of available organs for life-saving transplants persists worldwide. While a majority support donating their organs or tissue when they die, many have not registered their wish to do so. When registered, next of kin are much more likely to follow-through with the decision to donate. In many countries, most people visit their family physician office each year and this setting is a promising, yet underused, site where more people could register for deceased organ donation. Our primary aim was to evaluate the effectiveness of an intervention to promote organ donation registration in family physician's offices.Entities:
Keywords: Behaviour change techniques; Cluster randomized trial; Family physician offices; Organ donation; Organ registration; Pragmatic trial; Stepped-wedge trial
Mesh:
Year: 2022 PMID: 35236353 PMCID: PMC8892727 DOI: 10.1186/s12916-022-02266-8
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Fig. 1Diagram of the stepped-wedge design
Baseline Characteristics of trial participants
| Characteristics | Control ( | Intervention ( |
|---|---|---|
| Median age (25th, 75th percentile) | 55 (37–69) | 59 (41–72) |
| Age category, % | ||
| 16 to 29 years | 1734 (14%) | 1599 (13%) |
| 30 to 40 years | 1768 (15%) | 1488 (12%) |
| 41 to 65 years | 4775 (39%) | 4647 (37%) |
| 66 to 80 years | 2774 (23%) | 3223 (26%) |
| 80+ years | 1081 (9%) | 1527 (12%) |
| Female, % | 7696 (63%) | 7976 (64%) |
| Rural, % | 1052 (9%) | 2027 (16%) |
| Neighbourhood income quintilea, % | ||
| 1 (lowest quintile) | 2365 (20%) | 1789 (14%) |
| 2 | 2349 (19%) | 2119 (17%) |
| 3 | 2174 (18%) | 2317 (19%) |
| 4 | 2456 (20%) | 3143 (25%) |
| 5 (highest quintile) | 2743 (23%) | 3077 (25%) |
| Comorbid conditions, % | ||
| Diabetes | 2084 (17%) | 2071 (17%) |
| Cancer | 3119 (26%) | 3436 (28%) |
| Congestive heart failure | 670 (6%) | 834 (7%) |
| Chronic kidney disease | 249 (2%) | 288 (2%) |
| Chronic liver disease | 528 (4%) | 493 (4%) |
| Chronic lung disease | 2594 (21%) | 2540 (20%) |
| Median family pPhysician visits in the past year, #, (Q1–Q3) | 5 (2–9) | 5 (3–9) |
Q1: lower quartile, Q3: upper quartile
aLess than 1% missing data
Intervention components, how delivered and underlying behaviour change techniques designed to be delivered
| Intervention component | How delivered | Behaviour Change Techniques |
|---|---|---|
| Case finding | Reception staff identified patients who had not yet registered for organ donation by checking the back of every patient’s health card for their donor status | 4 BCTs: instruction on how to perform the behaviour; social support [practical]; prompt/cues; information about others’ approval |
| Address previously identified barriers and enablers to organ donor registration | Reception staff provided pamphlets | 10 BCTs: instruction on how to perform the behaviour; information about others’ approval; credible source; social comparison; prompts/cues; verbal persuasion of capability; vicarious consequences; information about social and environmental consequences; salience of consequences; information about emotional consequences |
| Immediate and available opportunity to register | An Internet-enabled tablet in the waiting rooms | 2 BCTs: adding objects to the environment; prompts/cues |
Note. BCTs described using labels proposed by the Behaviour Change Techniques (BCT) Taxonomy v1
Fig. 2Flow chart of study participants