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Prior L - Queen's University Belfast

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Qualitative Research Design and Ethical<br />

Governance: some problems of ‘fit’<br />

Lindsay <strong>Prior</strong>, Professor of Sociology, Queen’s <strong>University</strong> <strong>Belfast</strong><br />

Address for Correspondence: School of Sociology, Social Policy and Social Work,<br />

Queen’s <strong>University</strong> <strong>Belfast</strong>, Room 2.01, 1 College Park East, <strong>Belfast</strong> BT7 1NN.<br />

Email: l.prior@qub.ac.uk<br />

In this paper I seek to do three things. First to consider the extent to<br />

which some of the common procedures used by qualitative researchers<br />

‘fit’ the demands of medical research ethics committees. Second, to<br />

highlight some ways in which some key principles of qualitative research<br />

have to be altered so as to facilitate any such fit. Third, to highlight the<br />

range of issues that can (and do) arise out of an actual qualitative<br />

research project. J NI Ethics Forum 2007, 4: 53-64<br />

Just by way of preface to the ensuing discussion it would be as well for<br />

me to draw attention to a number of issues. The first of these is that<br />

qualitative researchers have been sensitive to, and have discussed<br />

problems of research ethics for many decades, and many such<br />

researchers believe themselves to be well attuned to both the<br />

philosophical basis of ethical codes and the practical implications of such<br />

codes for research design and procedure. Thus Miles and Huberman<br />

(1994), for example, outline seven styles of ethical framework that can<br />

inform qualitative research practice and indicate the implications of such<br />

styles for research activity. It is also fair to say that the British<br />

Sociological Association’s statement of Ethical Practice (2002) has not<br />

only provided guidance on ethical problems connected to qualitative<br />

research work for many decades, but also touches upon issues that are<br />

rarely considered by members of contemporary research ethics<br />

committees (such as power and gender imbalances in research<br />

relationships). Similar concerns are covered in the codes of ethical<br />

53


practice of other national bodies – such as that of the American<br />

Sociological Association. Finally, there is empirical evidence (Richardson<br />

and McMullan, 2007) that many qualitative researchers hold somewhat<br />

negative opinions of the ways in which REC’s assess their research<br />

design and believe that REC’s actually inhibit, rather than facilitate good<br />

research. In what follows I hope to throw some light on why such<br />

assessments might arise. My strategy is to elaborate on the kinds of<br />

ethical issues that arose out of a specific ESRC research project for<br />

which I was a principal investigator. For a formal report on the project –<br />

outlining the aims, design and some of the findings – see <strong>Prior</strong>, 2005.<br />

Somewhat inevitably, the discussion of that project herein is selective.<br />

An ESRC Case Study:<br />

The project to which I refer formed one component of the ESRC funded<br />

Innovative Health Technologies Research Programme (Project<br />

L218252046). The research work was undertaken between 2001—04.<br />

The key aims can be summed up in three questions. Exactly how do<br />

clinical professionals in a regional cancer genetics service assemble<br />

cancer genetic risk assessments? What are the consequences of the<br />

risk assessment for patients/clients? How do patients/clients understand<br />

the risk assessment and its implications? The research work was further<br />

linked into a parallel Wellcome funded study on the ways in which<br />

genetic risks might be calculated and used for insurance purposes.<br />

Research ethics approval was sought from, and granted by an MREC<br />

and 4 LREC’s (whose approval was necessary at that stage). Each<br />

required separate applications, and attendance at a committee meeting.<br />

The Wellcome funded project was dealt with under an additional MREC<br />

application.<br />

It is worth emphasising that the research ethics approval process was<br />

time consuming (and therefore expensive) in itself. We began the<br />

process of seeking approval 3 months before the project start date (when<br />

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we were not yet funded), and the process cut into first 3 months of the<br />

funded project. There was also intermittent approval required following<br />

research design modifications.<br />

The kinds of issues that were attended to in the MREC application<br />

involved the processes surrounding informed consent, confidentiality,<br />

anonymity, and the possibility of causing anxiety and distress to lay<br />

respondents (Richards & Shwartz, 2002). Some issues we did not raise<br />

because REC’s are so rarely concerned with them. The latter include<br />

issues relating to the exploitation of the research participants, dangers<br />

and risks that may be faced by the researchers, and the fact that in<br />

health research ‘patients’ often disclose details about their health that<br />

they have deliberately concealed from their doctors. As researchers we<br />

need strategies for handling such circumstances, but for my own part I<br />

prefer not to draw attention to such matters for fear of complications<br />

arising out of the approval process.<br />

The research design contained many features, but at base it was<br />

intended to be an ‘ethnography’ of a clinical service. The key site for<br />

research was an institute of medical genetics, and the service covered<br />

an entire UK region. I have no wish to elaborate on the theory and<br />

practice of ethnography here, so suffice it to say that ethnography truly<br />

involves immersion into the culture of the selected study group. An<br />

important feature of ethnographic practice is its capacity to capture<br />

aspects of behaviour, human interaction, events, happenings and so<br />

forth ‘on the wing’; as they emerge and unfold in the hurly burly of daily<br />

life - that’s what it’s all about. And once a study begins then everything<br />

and everyone is ‘in’ the research frame. To quote from one of the<br />

greatest exponents of the method (the anthropologist Bronislaw<br />

Malinowski);<br />

“There is a series of phenomena of great importance which cannot<br />

possibly be recorded by questioning or computing documents, but have<br />

55


to be observed in their full actuality. Let us call them the imponderabilia<br />

of actual life …” (Malinowski, 1922:18)<br />

One implication of this for the ethnographer is that the process of<br />

informed consent as conceptualized by REC’s can be somewhat<br />

stultifying and inimical to good research. That, not least because consent<br />

(in an ethnographic setting) has to be viewed as an ongoing, negotiable,<br />

and continuous process, rather than something that can be wrapped up<br />

in a single (signed) document - but more of consent in a moment.<br />

Essentially, all that I wish to emphasize at this stage is that it is the<br />

emergent, unfolding nature of the research trajectory that tends to affect<br />

the balance between the demands of the RECs and the practices of<br />

qualitative researchers.<br />

Types of data collected:<br />

In the case study to which I refer, various kinds of data were collected.<br />

These included: observations of professionals at work in the clinic and<br />

the associated laboratory; discussions between nurse-counsellors and<br />

clinical geneticists about risk assessment of patients (which I call<br />

‘naturally-occurring’ data, rather than interview data); consultations<br />

between clinical professionals and patient/clients about risk assessment<br />

and its implications; interviews between social scientists and patients<br />

about their understandings of their risk assessment; interviews with lab<br />

scientists and some clinical staff; medical records (such as pedigrees)<br />

and documents of various kinds including GP referral letters. An example<br />

of the kind of data collected is provided in Box1. The discussion begins<br />

with a nurse reading out a GP referral letter and flows into a discussion<br />

between a consultant geneticist and two nurses about the case under<br />

referral.<br />

Now, gaining informed consent from the nurse-counsellors and the<br />

consultant is not a problem – we know in advance who they are, and<br />

56


what they will be doing. However, we do not know on any one (Monday)<br />

morning who is to be referred to the clinic – this is the task at hand for<br />

the clinic professionals. To capture discussion about a referral therefore<br />

requires ‘being there’ on the day, and it would simply not be possible to<br />

get consent from either the GP or the patient under discussion about the<br />

presence of a researcher for we have no idea who is being referred in<br />

advance of the referral. This kind of problem arises in quite a few medical<br />

settings - such as studies of emergency psychiatric admissions, for<br />

example, where seeking consent from an angry and confused person<br />

who is about to be ‘sectioned’ is simply not feasible. Clearly, if ‘informed<br />

consent’ were to be held to as a sine qua non of all research activity,<br />

then large numbers of very important procedures would lay beyond the<br />

boundaries of investigation (Sin, 2005).<br />

A related problem arises in consideration of medical pedigrees – an<br />

example of which is provided in figure 1. This figure is of a family tree or<br />

pedigree of a client of a genetics service. Females are represented by<br />

means of circles and males by squares. People affected by cancers are<br />

indicated by solid black symbols and deaths by diagonal lines; the arrow<br />

(lower left) points to the proband or client of the service. The pedigree<br />

was drawn by a computerised decision-aid named ‘Cyrillic’, which also<br />

calculates a life-time risk of inheriting a known mutation. In this case (for<br />

breast cancer) the capacity to calculate the risk of inheriting a cancer<br />

related mutation for family members is not particularly easy. For some<br />

conditions, however, (such as, say, Polycystic Kidney Disease (PKD) or<br />

Huntingdon’s disease), knowledge about one member of family can<br />

provide easy-to-calculate, important and critical information about many<br />

other members of the same family. So it is more than possible to obtain<br />

key medical data on relatives of an individual without the relatives either<br />

knowing or consenting. Unfortunately, there is no easy way of getting<br />

such consent – often relatives are out of touch with the proband, or the<br />

proband does not want relatives contacted, perhaps addresses are<br />

unknown, and whether relatives are living or dead can only be guessed<br />

57


at. There are of course strategies for dealing with such problems, but<br />

none of them involve getting informed consent from each an every<br />

individual in the frame.<br />

Sampling: Another problem area<br />

Selecting samples in qualitative research designs also tends to cause<br />

problems for RECs. This is because qualitative researchers are rarely<br />

interested in getting hold of random samples from large populations. Talk<br />

of power calculations and confidence intervals is simply not appropriate.<br />

Indeed, it is usually the case that the qualitative researcher is seeking<br />

specific cases of events, happenings and people rather than general<br />

samples. Often they seek out what might be termed outliers rather than<br />

cases that might be categorised as average. On occasion the sampling<br />

strategy makes sense to all – thus a study of adverse events necessarily<br />

focuses on instances when things have ‘gone wrong’ and where a study<br />

of representative cases would be inappropriate. In other instances the<br />

qualitative researcher might invoke the techniques of grounded theory to<br />

justify their research sampling strategy.<br />

Grounded theory (Glaser & Strauss, 1967) is undoubtedly one of the<br />

most widely cited and successful qualitative research strategies yet<br />

invented. It comes in a variety of forms. In virtually all of its forms<br />

however it advocates the use of conceptual or theoretical sampling rather<br />

than random sampling. The key idea related to theoretical sampling<br />

involves comparison of cases. Crudely put, the research begins with<br />

case 1 and then seeks out an alternative and contrasting case for study,<br />

which leads to the identification of another (third) contrasting case and so<br />

on until the field of possibilities has been ‘saturated’. In the words of<br />

Glaser and Strauss (1967:45);<br />

“Theoretical sampling is the process of sampling … whereby the analyst<br />

jointly collects codes and analyzes his data and [then] decides what data<br />

58


to collect next and where to find them in order to develop his theory as it<br />

emerges.”<br />

Needless to say, this strategy is not conducive to the requirements for a<br />

carefully specified research protocol. As a result, strategies and<br />

justifications have to be devised by qualitative researchers somewhat<br />

artificially so as to fit REC queries about ‘numbers’. In my own case I<br />

always structure the sample to throw up contrasts in advance – but this is<br />

in no way a standard procedure. An example of a sample of cases<br />

structured for contrast is illustrated in Table 1 – the contrasts being site<br />

of cancer and level of risk. The cell numbers are determined on the basis<br />

of possibilities (how many ‘other’ genetically determined cancers might<br />

we get?), and experience (one rarely needs more than 10 cases to get a<br />

full sense of what is going on in any specific social environment).<br />

Table 1 .Numbers of patients interviewed by site of cancer and<br />

level of risk in the ESRC study<br />

Cancer site by risk Low Risk Moderate High Risk Total<br />

Risk<br />

Breast 8 11 6 25<br />

Ovarian 8 3 6 11<br />

Colorectal 6 10 4 20<br />

Other cancers 1 0 1 2<br />

Total 17 24 17 58<br />

The interview schedule:<br />

It would be amiss of me to ignore concerns about interview schedules.<br />

Once again, however, there are often antithetical understandings about<br />

the role of the interviewer and the interview in qualitative research. Thus,<br />

for many REC members the ‘instrument’ is the interview schedule – and<br />

therefore ought to be precisely specified. For qualitative researchers, on<br />

59


the other hand, the key instrument is the interviewer him or herself. It is<br />

they that constitute the key resource.<br />

For my own part I always try to get a ‘story’ out my respondents. In fact, I<br />

just ask respondents to ‘tell me your story’ – about how they got into a<br />

clinic, what happened next, and after that, the future. From this style of<br />

questioning one gets the data for a series of narratives, and it is in terms<br />

of narratives that such data can be (very profitably) analysed (see, for<br />

example, Frank, 1995). In the ESRC study we presented a somewhat<br />

more complicated interview schedule than was suggested above - but<br />

the ‘tell me your story’ approach would have served just as well. (For<br />

some results of the approach see Scott, <strong>Prior</strong>, Wood and Gray, 2005).<br />

Miscellaneous considerations:<br />

As I suggested in my opening statement, qualitative researchers are fully<br />

aware of a complex inter-relationship of ethical concerns that arise in the<br />

doing of research, and often pay respect to principles that RECs can be<br />

unduly quiet about. In terms of the case-study referred to here, however,<br />

it might be worth mentioning a few other considerations that arose during<br />

the course of the work. The first of these is quite common. It relates to<br />

the fact that in virtually all instances of research involving patients, some<br />

respondents will invariably seek medical advice from the (social<br />

scientific) interviewer – clear direction to interviewers on how to handle<br />

such eventualities is essential. Secondly, clinicians and others can<br />

sometimes be unhappy about the specific features of a research<br />

procedure and seek to alter the protocol or the findings – for example,<br />

nephrologists might object to PKD being described or characterised to<br />

their patients as a ‘genetic’ condition in the information leaflet. An<br />

advisory committee to which such problems can be referred can be<br />

useful in such instances. Thirdly, there can be ethical problems involved<br />

in archiving data – for whilst the identity of respondents and places can<br />

60


e rendered anonymous in written transcripts the same cannot be said<br />

about voice recordings.<br />

Conclusion:<br />

The ‘fit’ between qualitative research and research ethics committees is<br />

not an easy one. The research style and ‘ethos’ implied by the REC<br />

forms (at the outset) is geared to a specific (and very different) style of<br />

research practice and scientific rhetoric. More directly, qualitative<br />

researchers often face difficulties in justifying sample numbers, and<br />

accounting for the emergent shifts in direction that inevitably occur in<br />

qualitative work. In addition, there can be problems justifying open-ended<br />

interviews.<br />

As a result of the different interpretations of what good research design<br />

looks like, tensions can arise. Indeed, some social science researchers<br />

often feel that the procedures of ethical governance are used as forms of<br />

censorship and control – rather than a means of facilitating good<br />

research (Dingwall, 2006). For my own part I can say that only once<br />

have I ever had a real problem with a REC. In any event I shall conclude<br />

with a reference to one of the greatest ethicists of all time, namely<br />

Aristotle (384-321 BCE). In the Nicomachean Ethics, Aristotle argued<br />

that ethics aims at ‘the Good’ and that the good is a form of politics<br />

(I,1,4-ii). In that context he offers an interesting juxtaposition of a<br />

principle (the search for the good) and practice (organizing social affairs<br />

so that different interpretations of ‘the good’ can be facilitated).<br />

Unfortunately, qualitative researchers sometimes feel that interpretations<br />

of good ‘science’ as interpreted by REC members can be strangely onedimensional,<br />

and that their own (qualitative) style of understanding the<br />

world is being forced into a format that suits legalistic principles more<br />

than the requirements of sound research procedures.<br />

61


Professor <strong>Prior</strong> was one of the speakers at the NI Ethics Forum Evening Meeting in<br />

November 2007 focusing on the theme of research governance and qualitative<br />

research.<br />

References<br />

[1] Aristotle Nicomachean Ethics. Trans. H. Rackham. Cambridge: MA.<br />

Loeb Classical Library. Harvard <strong>University</strong> Press 1926.<br />

[2] BSA (2002) Statement of Ethical Practice for the British Sociological<br />

Association. http://www.sociology.org.uk/as4bsoce.pdf<br />

[3] Dingwall R. Confronting the anti-democrats. The unethical nature of<br />

ethical regulation in social science. Medical Sociology Online. 1. 2006:<br />

51-8.<br />

[4] Frank A.W. The wounded storyteller. Body, Illness and Ethics.<br />

Chicago: <strong>University</strong> of Chicago Press 1985.<br />

[5] Glaser B.G., Strauss A.L. The discovery of grounded theory.<br />

Strategies for qualitative research. Chicago: Aldine 1967.<br />

[6] Malinowski B. Argonauts of the Western Pacific. London: Routledge &<br />

Kegan Paul 1922.<br />

[7] Miles M.B., Huberman A.M. Qualitative Data Analysis. An expanded<br />

Sourcebook. 2 nd Ed. Thousand Oaks: CA. Sage 1994<br />

[8] <strong>Prior</strong> L. The construction of risk estimates in a cancer genetics clinic.<br />

Swindon: ESRC 2005.<br />

[9] Richards H.M., Schwartz L. J. Ethics of qualitative research. Are there<br />

special issues for health service research? Family Practice, 2002;<br />

19:135-9.<br />

[10] Richardson S., McMullan M. Research Ethics in the UK. Sociology<br />

2007; 41:1115-32.<br />

[11] Scott S., <strong>Prior</strong> L., Wood F., Gray J. Repositioning the patient. The<br />

implications of being at-risk. Social Science & Medicine 2005; 60: 1869-<br />

79.<br />

[12] Sin C.H. Seeking informed consent. Reflections on research<br />

practice. Sociology 2005; 39: 277-94.<br />

62


BOX1<br />

Nurse-Counsellor1 (NC1): This is JH who is 32. [Reading the referral<br />

letter from the patient’s GP] ‘This lady’s 35 year old sister has just been<br />

diagnosed with breast cancer. She herself is 33 and is naturally<br />

concerned. There are other sufferers of the disease in the family. An<br />

aunt was also diagnosed in her early 30s. She realises that the risks are<br />

going to be higher than average. She has been thinking of the<br />

contraceptive pill although I have asked her to put this on hold until she<br />

has been seen and then presumably I will be able to give her a<br />

progesterone only pill if you feel this is indicated.’ It’s from her GP.<br />

NC2: It’s a really good GP.<br />

Clinical Geneticist (CG): Yes, [examining the pedigree] the thing is if you<br />

really start to tease it apart there are lots of black lines all over the place,<br />

they are all on different parts of the family. Her grandmother’s niece. 40s.<br />

NC1: That’s 3 rd degree.<br />

CG: Well that is 3 rd degree yeah. And her mother’s grandfather’s<br />

sister at 67 so I think we can discount that one. This is the one that is of<br />

more concern. She has a sister at 35 and then somebody else at 38<br />

over here. So there are two young people and I suspect that puts her<br />

into a high – oh! – 24.6% (Looks at risk estimate from Cyrillic). Mm.<br />

NC1: What did you think, because you had some good thoughts about<br />

this one?<br />

CG: This is one that I would put into a high risk group. Can you think<br />

why I have decided to put her into a high risk group?<br />

63


Figure 1. Pedigree drawn and risk calculated via CYRILLIC<br />

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