Julia Wade* (MRCSLT), Jane Mortley** (MRCSLT), Pam Enderby ***(MRCSLT)
*Speech & Language Therapy Research Unit, North Bristol NHS Trust, Frenchay Hospital, Bristol BS16 1LE, julia@speech-therapy.org.uk
**Steps Cottage, Littleton Drew, Wiltshire, SN14 7NB jpmortley@btinternet.com
***Institute of General Practice & Primary Care, Community Sciences Centre, Northern General Hospital, Sheffield, S5 7AU p.m.enderby@sheffield.ac.uk
This paper compares and contrasts the information obtained from two different forms of evidence used to evaluate the effects of computer therapy targeting word retrieval for people with aphasia in a research study (Mortley, Wade & Enderby, submitted for publication). A qualitative component (in-depth interviews to evaluate people’s experience of therapy) supplemented the conventional quantitative data (pre and post therapy language assessments) to give context and richness to an otherwise purely quantitative study.
Quantitative and qualitative methodologies can be viewed as antithetical due to the differing philosophical positions about the nature of reality, underlying them. Quantitative research assumes the existence of an external reality ‘as read’. In qualitative research, the existence of an independent reality is questioned. What we take as truth depends on our viewpoint, so there may be as many versions of truth as there are observers, an obvious problem for the generalisability of research findings. In practice, however, all research is selective and therefore limited in generalisability: ‘All research depends on collecting particular sorts of evidence through the prism of particular methods, each of which has its strengths and weaknesses’ (Mays & Pope 1996, p11). Precisely because of these contrasting strengths and weaknesses, it is possible to view these two methodologies as complementary rather than antithetical (Parr & Byng, 2000). Methodology should be determined by the nature of the question addressed. If the aim is to determine ‘how much’ then quantitative approaches may be most appropriate. A ‘what kind’ type of question indicates that qualitative approaches may be more informative (Parr & Byng, 2000).
Qualitative research can complement quantitative research in various ways (Murphy & Dingwall, 1998). First, it can provide preliminary data via exploratory research in an area about which little is known, and generate hypotheses for subsequent testing by means of quantitative research. Second, it can supplement quantitative research as part of the triangulation or validation process, especially where quantitative research leads to unanticipated or inconclusive findings. Qualitative research is particularly useful in exploring complex phenomena, less amenable to quantitative, permitting ‘the development of concepts which help us to understand social phenomena in natural (rather than experimental) settings, giving due emphasis to the meanings, experiences, and views of all the participants’ (Pope & Mays, 1995, p43).
Applied to aphasia research, this methodology is particularly appropriate for investigating the complex and highly individual nature of functional communication in aphasia and the experience of what it is to have aphasia. Qualitative methodologies have already been applied in these areas (e.g. use of conversation analysis in general and of in-depth interviews, Parr, Byng, Gilpin & Ireland, 1997).
In this study, quantitative measures were
used to determine evidence of treatment effects on word-retrieval ability under
well-controlled experimental conditions.
Qualitative methods supplemented quantitative measures with two aims in
mind. First, the mode of therapy
delivery was novel, i.e. therapy was delivered via computer without face to
face contact with a therapist. The aim was to investigate how people
experienced the therapy process. Second, in-depth interviews were intended to
enable the researchers to supplement and contribute to validation of pre- and
post-therapy language assessments by investigating the relationship between the
impairment therapy and functional communication. The problems associated with attempting quantification of change
in everyday communication are documented elsewhere and use of in-depth
interviews suggested as an alternative (Parr & Byng 2000).
A case series study using an ABA cross-over design (A being assessment without therapy and B being therapy) was conducted in which six participants received word-retrieval therapy by computer over a period of six months. Treatment items were divided into Set 1 (treated months one-three) and Set 2 (treatment delayed until months four-six and tested for generalisation effects after treatment to Set 1). Participants had word retrieval difficulties associated with aphasia following stroke and were at least two years post onset (Table 1). Pre therapy assessment included measuring word retrieval on a set of 162 words targeted in therapy, control assessment of sentence comprehension, and in-depth interviews with participants (and carers where applicable). Two baseline language measures were taken six weeks apart. An additional naming assessment was carried out half way through therapy to compare progress on treatment versus non-treatment items. Assessments were repeated after therapy was withdrawn and the naming assessment was repeated six weeks later to determine maintenance.
Table 1. Personal details of participants
|
Participant |
1 |
2 |
3 |
4 |
5 |
6 |
|
Gender |
M |
M |
M |
M |
F |
M |
|
Age |
63yrs |
53yrs |
58yrs |
63yrs |
66yrs |
63yrs |
|
Yrs
post onset |
2 |
2 |
3 |
9 |
12 |
2 |
|
Previous
computer therapy |
Yes |
No |
No |
Yes |
Yes |
Yes |
|
Computer
user prior to CVA |
Yes |
No |
No |
No |
No |
No |
Analysis
Average pre and post therapy scores for naming items targeted in therapy were compared and for each comparison a z-statistic and p-value was calculated. The analytic approach used for the in-depth interviews followed the principles of Framework analysis and is described in detail elsewhere (Wade, Mortley & Enderby, in progress).
Results
Results of language assessments are shown
in Table 2. Results from the pre and
post naming assessments indicated that all six participants showed significant
improvement in naming nouns targeted in therapy, maintained at six weeks post
therapy. Four participants showed
significant improvement in naming verbs, maintained at six weeks post therapy. Three participants showed generalisation
effects in improvement on non-treated nouns but none showed generalisation to
non-treated verbs. No significant
change took place for any of the participants on control assessments. This fact and the lack of change on the
baseline scores suggests that no detectable spontaneous recovery was taking
place prior to therapy.
Table 2. Effects on treated items, untreated items and control assessment: pre and post therapy scores for treated nouns and verbs (Sets 1 and 2 combined); pre and post therapy (at 3 months) scores for as yet untreated nouns and verbs (Set 2 only); pre and post scores for sentence comprehension.
|
Participant |
1 |
2 |
3 |
4 |
5 |
6 |
||||||||
|
|
Raw score |
% |
Raw score |
% |
Raw score |
% |
Raw score |
% |
Raw score |
% |
Raw score |
% |
||
|
Rx Noun N= 162 |
Pre |
46 |
28 |
68 |
42 |
87 |
54 |
70 |
43 |
70 |
44 |
56 |
34 |
|
|
Post |
125 |
77 |
121 |
75 |
133 |
82 |
106 |
65 |
104 |
64 |
91 |
64 |
||
|
P-value |
P<0.001 |
P<0.001 |
P<0.001 |
P<0.001 |
P<0.001 |
P<0.001 |
||||||||
|
Rx Verb N= 100 |
Pre |
22 |
22 |
22 |
22 |
19 |
19 |
32 |
32 |
33 |
33 |
27 |
27 |
|
|
Post |
66 |
67 |
52 |
52 |
66 |
66 |
50 |
50 |
55 |
55 |
49 |
49 |
||
|
P-value |
P<0.001 |
P<0.001 |
P<0.001 |
Non sig |
P<0.001 |
P<0.001 |
||||||||
|
Non Rx Noun N=81 |
Pre |
23 |
28 |
32 |
39 |
44 |
54 |
32 |
39 |
34 |
42 |
24 |
29 |
|
|
Post |
35 |
43 |
45 |
56 |
58 |
72 |
38 |
47 |
36 |
44 |
31 |
38 |
||
|
P-value |
P<0.009 |
P<0.006 |
P<0.003 |
Non sig |
Non sig |
Non sig |
||||||||
|
Non Rx Verb N=50 |
Pre Post P-value |
11 |
22 |
11 |
22 |
10 |
20 |
16 |
32 |
NA |
NA |
18 |
36 |
|
|
13 |
26 |
14 |
28 |
13 |
26 |
16 |
39 |
NA |
NA |
15 |
30 |
|||
|
Non sig |
Non sig |
Non sig |
Non
sig |
Not
treated |
Non sig |
|||||||||
|
Sent comp N=40 (control) |
Pre |
23 |
58 |
16 |
40 |
55 |
28 |
28 |
70 |
19 |
48 |
17 |
43 |
|
|
Post |
22 |
55 |
20 |
50 |
60 |
32 |
32 |
80 |
18 |
45 |
16 |
40 |
||
|
P-vaue |
Non sig |
Non sig |
Non sig |
Non sig |
Non sig |
Non
sig |
||||||||
Data from in-depth interviews revealed a broad range of perceived benefits to functional communication for all participants summarised in Table 3. All reported improved word retrieval in conversation. A wide range of other effects were described including benefits in the domains of activity and participation as defined by the ICF classification[1]and improvements to confidence and self-esteem. This was in the context of therapy directed purely at word retrieval on computer therapy tasks. Improvements in functional communication were ascribed not simply to direct effects of therapy on
language ability. Increased confidence associated with learning a new skill (i.e. computer use) was also seen as having played an important role. Seeing scores on therapy tasks increase was also important in increasing confidence. Improvements in confidence were also attributed to the degree of autonomy that this particular mode of therapy delivery provided, from both the therapist and partner. Participants believed that increased autonomy had facilitated more intensive therapy practice and hence led to substantial improvements. Interviews also revealed variations in approaches to therapy practice, generating a number of hypotheses for further investigation (Wade, Mortley and Enderby, in progress).
Table 3: Reported benefits to functional communication and examples of new activities or behaviours noted since start of therapy
|
Participant |
Reported evidence of benefits to functional
communication |
Reported new activities and behaviours |
|
1 |
·
Able to cue
self into words ·
Initiating
communication with strangers ·
Increased
participation in group conversations ·
Using phone ·
Shopping
without a list ·
Writing
letters |
·
Enrolled on
computer course ·
Return to
driving ·
Increased
walking |
|
2 |
·
Taking time
to find words ·
Initiating
conversation with neighbours ·
Shopping
alone ·
Answering
phone ·
Discussing
current affairs |
·
Preparing
meals unaided ·
Doing car
maintenance using manual ·
Assisting
friend to rewire house ·
Using
Internet as info source |
|
3 |
·
Producing
more phrases ·
Increased
participation in family conversations ·
Needing
fewer repetitions ·
Using
family names ·
Buying
petrol alone |
·
Decorating
house ·
Laughing at
jokes on TV/ in conversations |
|
4 |
·
Producing
more phrases ·
Finding
words more easily ·
Reading the
newspaper |
|
|
5 |
·
Finding
words targeted in therapy more easily ·
Asserting
self more to ensure message is understood ·
Increased
participation in communication |
|
|
6 |
·
Finding
broader range of words ·
More aware
of errors and better able to correct ·
Strangers
don’t always notice aphasia ·
Using phone ·
Using
family names ·
Attempting
to write |
·
Using
Internet ·
Improved
confidence with computers ·
Improved
moods |
Previous research into the efficacy of word retrieval therapy has been criticised for failing to evaluate effects on functional communication. This study set out to combine very differing quantitative and qualitative methods to investigate effect on word retrieval and functional communication. The idea of combining quantitative and qualitative data in aphasia research is not novel but to our knowledge, this is the first time the method of in-depth interviews to evaluate therapy has been integrated into an experimental study evaluating impairment therapy for anomia.
Measuring change on formal language assessments provides evidence of change in well-controlled experimental conditions but tells us little about a person’s functional communication. In-depth interviewing can reveal whether people perceived a therapy effect and insight into how the effect may have occurred but cannot, in isolation, prove benefit to language. The use of in-depth interviewing was motivated by a desire to evaluate functional effects and acceptability of impairment therapy delivered via computer, phenomena that challenge satisfactory measurement using standardised quantitative assessment. In the event, data revealed a much more complex process than the simple effect of impairment therapy leading to improved language skills and benefit to functional communication. Issues of confidence, self-esteem and autonomy played a more central role than had been anticipated, and generated hypotheses for further investigation. Each measure provides only part of the picture if used in isolation. Combining systematic qualitative and quantitative methods can provide a richer evidence base, with information from one source providing verification for information from the other. We need to expand the range of methodologies available to us in our ‘research toolkit’ if we are to provide the appropriate form of evidence for what we seek to measure.
In-depth interviewing and subsequent analysis may be time-consuming, but it is possible that the principles of method and analysis can be applied in clinical practice in the same way that those of conversational analysis have been (Parr & Byng, 2000).
A multi-method approach, if applied systematically, can substantially strengthen the evidence base for both research and clinical practice. Aphasia therapy has the advantage of a research tradition, which had already established the principle of combining qualitative and quantitative methodologies. There is still potential for them to be combined more extensively.
Acknowledgements
The authors wish to thank all participants for their time and the Stroke Association for providing the funding to make this research possible.
References
Mays, N. & Pope, C. (1996) Rigour and qualitative research. In Mays, N. & Pope, C. (Eds) Qualitative Research in Health Care, pp10-19, London, UK: BMJ Publishing.
Mortley, J.
Wade, J. & Enderby, P. (in progress). Superhighway to promoting a
client-therapist partnership? Using the Internet to deliver word-retrieval
computer therapy, monitored remotely with minimal speech and language therapy
input. Aphasiology
Murphy, E & Dingwall, R (1998) Qualitative methods in health services research. In Black, N., Brazier, J., Fitzpatrick, R., Reeves, B. (Eds) Health Services Research Methods: a guide to best practice. London, UK: BMJ Publishing.
Parr, S. & Byng, S. (2000) Perspectives and priorities: accessing user views in functional communication assessment. In: L.E. Worrall, & C.M. Frattali (Eds) Neurogenic Communication Disorders: a functional approach. New York, U.S.: Thieme.
Parr, S., Byng, S., Gilpin, S. & Ireland, C. (1997). Talking about aphasia, Living with loss of language after stroke, Buckingham, UK: OUP.
Pope, C. & Mays, N. (1995) Reaching the parts other methods cannot reach: an introduction to qualitative methods in health and health services research. BMJ, 311, 42-45
Wade, J., Mortley,
J. & Enderby (in progress) Talk about IT. Views of people with aphasia on receiving remotely-delivered
computer-based word finding therapy.
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