Stroke survivors’ views on their priorities for upper-limb recovery and the availability of therapy services after stroke: a longitudinal, phenomenological study

Figures & data

Table 1. Data analysis process, based on the work of Ritchie and Spencer [34].

Step 1	Adopting a phenomenological attitude to be open to all possibilities in the data.
Step 2	Listening to the interview several times, referring to any field notes, to remember the interview as a whole.
Step 3	Reading and re-reading the transcript several times.
Step 4	Annotating the transcript where recurring ideas of interest are identified and coded.
Step 5	Reviewing the coded data within the transcript to identify and label the broader themes and to look for similarities between them.
Step 6	Clustering of similar themes into a table of themes for each interview with every participant.
Step 7	Organizing tables of themes into framework charts to provide overview of data within and across participants
Step 8	Second researcher analysis of a sample of three transcripts from each interview point.
Step 9	Discussion between researchers and review of data analysis and development of tables of themes.
Step 10	Discussion between researchers and review of development of charts.

Table 2. Participant demographics.

Participant	Age	Hemiparetic side	Dominant hand	NIHSS score
Ada^a	74	Left	Right	5
Barbara	67	Left	Right	2
Alan	62	Left	Right	12
Cath^a	84	Left	Right	8
Doris	84	Left	Right	2
Eve	65	Left	Right	8
Jenny	76	Right	Right	4
Lily	77	Left	Right	3
Bob	70	Right	Right	6
Meg	80	Left	Right	16
Colin	71	Left	Right	14
Gordon	62	Right	Right	Not available
Harry	86	Left	Left	15

Participants names are pseudonyms. NIHSS: National Institutes of Health Stroke Scale.

^aParticipant died before end of study.

Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In Bryman A, Burgess RG, editors. Analyzing qualitative data. London: Routledge; 1994. p. 173–194.

 Google Scholar