| Literature DB >> 27590183 |
Suzanne Audrey1, Lindsey Brown2, Rona Campbell2, Andy Boyd3, John Macleod3.
Abstract
BACKGROUND: Avon Longitudinal Study of Parents and Children (ALSPAC) is a birth cohort study within which the Project to Enhance ALSPAC through Record Linkage (PEARL) was established to enrich the ALSPAC resource through linkage between ALSPAC participants and routine sources of health and social data. PEARL incorporated qualitative research to seek the views of young people about data linkage, including their opinions about appropriate safeguards and research governance. In this paper we focus on views expressed about the purpose and composition of research ethics committees.Entities:
Keywords: ALSPAC; Data linkage; Qualitative research; Research ethics committees; Young people
Mesh:
Year: 2016 PMID: 27590183 PMCID: PMC5010726 DOI: 10.1186/s12910-016-0133-1
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Section of chart relating to the role of ethics committees
| ID | Text | Code |
|---|---|---|
| 1 | I think it’s very important that they [researchers] have like a standards and stuff and I mean their morals I guess, if they’re, they’re important but as long as they’ve got that, a standard, and there’s somebody checking that they keep to that standard, like um a sort of separate body, you know, if that makes sense? A sort of um governing body, that’s it. That makes sure that they keep to those standards and that sort of, you know, ethics code, I guess. … Um make sure things are being used in the right way, make sure things you know are ethically used … how important is the research … [if] other people’s information needs to be used, whether it does need to be used, whether there’s another way of doing it … whether somebody could be perhaps at risk or something if they do use the information and stuff like that. | Standards |
| 2 | Making sure obviously that you’ve got a fair sample, of a fair, um that every group, every, all types of people are represented within the study | Fair sample |
| 3 | Um it’s probably a good thing, check everyone’s doing everything right … maybe what kind of records they’re looking at. Um obviously they’re going to be quite personal things if it’s stuff like medicals stuff, um but I don’t know. Maybe checking that people have given their consent and that all, that the organis- the research organisation has tried to get that consent, that kind of thing. | Right way |
Rows and columns continued to include all participants (n = 48)
Characteristics of participants (n = 48)
| Number | |
|---|---|
| Age | |
| 17 years | 11 |
| 18 years | 29 |
| 19 years | 8 |
| Gender | |
| Female | 28 |
| Male | 20 |
| Ethnicity | |
| White British | 44 |
| Mixed | 2 |
| White other | 1 |
| Declined to say | 1 |
| Employment | |
| Student | 35 |
| In work | 6 |
| Apprenticeship | 1 |
| Unemployed | 6 |
| Participation in ALSPAC | |
| Regularly since childhood | 36 |
| Infrequent since childhood | 5 |
| No previous involvement | 7 |
| IMD score | |
| (most deprived) 1 | 10 |
| 2 | 16 |
| 3 | 6 |
| 4 | 6 |
| (least deprived) 5 | 10 |
| Disability/long term illness | 5 |