| Literature DB >> 25888741 |
Kate M Tan1, Felicity S Flack2, Natasha L Bear3, Judy A Allen4.
Abstract
BACKGROUND: In Australia research projects proposing the use of linked data require approval by a Human Research Ethics Committee (HREC). A sound evaluation of the ethical issues involved requires understanding of the basic mechanics of data linkage, the associated benefits and risks, and the legal context in which it occurs. The rapidly increasing number of research projects utilising linked data in Australia has led to an urgent need for enhanced capacity of HRECs to review research applications involving this emerging research methodology. The training described in this article was designed to respond to an identified need among the data linkage units in the Australian Population Health Research Network (PHRN) and HREC members in Australia.Entities:
Mesh:
Year: 2015 PMID: 25888741 PMCID: PMC4354746 DOI: 10.1186/s12910-015-0007-y
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Workshop questionnaire – pre and post workshop comparisons (median and inter-quartile range) using a Likert scale with grades from one to five (1 = very low; 2 = low; 3 = average; 4 = good; 5 = very good)
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| Please indicate the effect this workshop has had on: | |||
| 1. Your understanding of the data linkage process | 3(2–4) | 4 (4–5) | <0.001 |
| 2. Your knowledge of data collections available for linkage in [the relevant jurisdiction] | 3 (1–4) | 4 (3–4) | <0.001 |
| 3. Your awareness of the history of data linkage | 2 (1–3) | 4 (4–5) | <0.001 |
| 4. Your understanding of the Population Health Research Network | 2 (1–3) | 4 (3–4) | <0.001 |
| 5. Your awareness of the benefits of data linkage | 4 (3–4) | 4 (4–5) | <0.001 |
| 6. Your knowledge of strategies to minimise and manage risks associated with data linkage | 3 (2–4) | 4 (4–5) | <0.001 |
| 7. Your understanding of the legal framework applicable to data linkage | 2 (1–3) | 4 (3–4) | <0.001 |
| 8. Your ability to consider a waiver of consent for data linkage projects | 3 (2–3) | 4 (4–4) | <0.001 |
*pre to post comparison using Wilcoxon Signed Rank Test.
The impact of prior review experience on training outcomes: a comparison
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| 1. Your understanding of the data linkage process | Pre | 2 (1–2) | 3 (2–4) | 0.001 |
| Post | 4 (4–5) | 4 (4–5) | 0.761 | |
| 5. Your awareness of the benefits of data linkage | Pre | 3 (2–4) | 4 (3–5) | 0.012 |
| Post | 4 (4–5) | 4 (4–5) | 0.965 | |
| 6. Your knowledge of strategies to minimise and manage risks associated with data linkage | Pre | 2 (1–3) | 3 (2–4) | 0.046 |
| Post | 4 (4–5) | 4 (4–5) | 0.883 | |
| 7. Your understanding of the legal framework applicable to data linkage | Pre | 2 (1–3) | 2 (2–3) | 0.090 |
| Post | 4 (3–4) | 4 (3–4) | 0.119 | |
| 8. Your ability to consider a waiver of consent for data linkage projects | Pre | 2 (1–3) | 3 (2–4) | 0.007 |
| Post | 4 (4–4) | 4 (4–5) | 0.177 | |
*between group comparison (those who had previously reviewed a data linkage application vs those who had not) using Mann Whitney U test.
Figure 1Relationship between understanding of data linkage processes and previous experience in reviewing data linkage applications.
Participant ratings of workshop structure and facilitation
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| The workshop objectives were clear to me | 5 | 4.4 |
| The topics covered were relevant to my work | 5 | 4.4 |
| Frequency and lengths of breaks were good | 4 | 4.6 |
| Training handouts were well presented and easy to follow | 5 | 4.7 |
| The length of the training was appropriate | 5 | 4.6 |
| The trainers provided opportunities to practice skills | 5 | 4.6 |
| The trainers were well prepared | 5 | 4.6 |
| The trainers knew the subject material well | 5 | 4.7 |
| The trainers were enthusiastic | 5 | 4.7 |
| The trainers related well to me | 5 | 4.6 |
| The trainers were clear in their presentation | 5 | 4.6 |