Page 124 - S. Ličen, I. Karnjuš, & M. Prosen (Eds.). (2019). Women, migrations and health: Ensuring transcultural healthcare. Koper, University of Primorska Press.
P. 124
ko Prosen, Sabina Ličen, Urška Bogataj, Doroteja Rebec, and Igor Karnjuš
explanation of the study objectives and the methods used in a language they
understood. Those who decided to participate were once again told about
the purpose, research methods, ways of ensuring anonymity and confiden-
tiality, and the possibility of feedback. Women were also informed of the op-
portunity to withdraw from the interview at any time. All the women had
to give their written consent prior to the interview. For three women, the
spoken language was Slovenian, for three it was English, for another three
Slovenian and partially Serbian, and for one Slovenian and partially English.
In no case was an interpreter or translator not present. On average, an inter-
view lasted 38.30 minutes. The shortest was 18 minutes and the longest 71
minutes. The interviews were conducted in hospital rooms, paying special
attention to the confidentiality and well-being of the participants. Each in-
terview was audio-recorded and each participant was given a unique code.
Data Analysis
The interviews were transcribed verbatim. Names of persons, places and in-
stitutions were anonymised. After transcribing the interviews, the transcripts
were once again checked against the audio-recorded transcripts. A quali-
tative data analysis was performed using the computer software program
NVivo (version 12). Before the analysis commenced, the similarity metric of in-
dividual cases was analysed using cluster analysis and Pearson’s coefficient.
According to the highest (r = 0.907) and lowest (r = 0.745) values of Pearson’s
correlation coefficient, it can be argued that there is a positive and strong
relationship between individual cases.
The transcripts were subjected to thematic analysis (Flick, 2002; Gibson
& Brown, 2009; Matthews & Ross, 2010; Riessman, 2008; Sandelowski, 2000;
Smythe, 2012) which relates to the process of analysing data in relation to
communalities, differences and relationships. Data were reduced as part of
the analysis. Data reduction is a form of analysis that sharpens, sorts, focuses,
discards and organises data in such a way that ‘final’ conclusions may be
drawn and verified (Miles & Huberman, 1994, p. 11). The analysis followed
these steps: the transcripts were read several times to obtain a clearer picture
of the phenomena under study, the data were coded, codes were merged
into sub-themes, and themes were formed on the basis of categories (Flick,
2002; Steen & Roberts, 2011).
Ethical Consideration and Funding
The study was conducted in accordance with the Helsinki-Tokyo Declaration
(World Medical Association, 2013), the Code of Ethics for Nurses and Nurse
122
explanation of the study objectives and the methods used in a language they
understood. Those who decided to participate were once again told about
the purpose, research methods, ways of ensuring anonymity and confiden-
tiality, and the possibility of feedback. Women were also informed of the op-
portunity to withdraw from the interview at any time. All the women had
to give their written consent prior to the interview. For three women, the
spoken language was Slovenian, for three it was English, for another three
Slovenian and partially Serbian, and for one Slovenian and partially English.
In no case was an interpreter or translator not present. On average, an inter-
view lasted 38.30 minutes. The shortest was 18 minutes and the longest 71
minutes. The interviews were conducted in hospital rooms, paying special
attention to the confidentiality and well-being of the participants. Each in-
terview was audio-recorded and each participant was given a unique code.
Data Analysis
The interviews were transcribed verbatim. Names of persons, places and in-
stitutions were anonymised. After transcribing the interviews, the transcripts
were once again checked against the audio-recorded transcripts. A quali-
tative data analysis was performed using the computer software program
NVivo (version 12). Before the analysis commenced, the similarity metric of in-
dividual cases was analysed using cluster analysis and Pearson’s coefficient.
According to the highest (r = 0.907) and lowest (r = 0.745) values of Pearson’s
correlation coefficient, it can be argued that there is a positive and strong
relationship between individual cases.
The transcripts were subjected to thematic analysis (Flick, 2002; Gibson
& Brown, 2009; Matthews & Ross, 2010; Riessman, 2008; Sandelowski, 2000;
Smythe, 2012) which relates to the process of analysing data in relation to
communalities, differences and relationships. Data were reduced as part of
the analysis. Data reduction is a form of analysis that sharpens, sorts, focuses,
discards and organises data in such a way that ‘final’ conclusions may be
drawn and verified (Miles & Huberman, 1994, p. 11). The analysis followed
these steps: the transcripts were read several times to obtain a clearer picture
of the phenomena under study, the data were coded, codes were merged
into sub-themes, and themes were formed on the basis of categories (Flick,
2002; Steen & Roberts, 2011).
Ethical Consideration and Funding
The study was conducted in accordance with the Helsinki-Tokyo Declaration
(World Medical Association, 2013), the Code of Ethics for Nurses and Nurse
122
