Quality of Life Clinical Trial
Official title:
Development of the Dementia Quality of Life Scale for Older Family Carers of People With Dementia (DQoL-OC) and Evaluation of Its Psychometric Properties
The purpose of this research is to develop the "DQoL-OC", a unique questionnaire to evaluate
the quality of life of people aged 60 or above providing care for a family member with
Alzheimer's disease or other related dementia at home in the UK.
This questionnaire is aimed at allowing researchers, health and social professionals, as
well as the older family carers themselves, to quantify the impact caring in different
aspects life, for the purposes of economic evaluation or implementation and evaluation of
interventions. The results from this study will also help us to understand better the
aspects that affect carers' quality of life and well-being, which may guide future policies
and the support provided to older family carers in the future.
The DQoL-OC is being developed in two parts. The first part is now completed and was carried
out through focus groups with older family carers for discussions about important aspects
related to their quality of life and well-being in order to create the items of the new
questionnaire. Its preliminary version contains 100 questions about the practical aspects of
care and caregiving, carers' feelings and concerns and satisfaction with life and with the
caring role.
The second part of the DQoL-OC development is currently being carried out and aims to
evaluate its validity and reliability for use with older family carers and to reduce it into
a smaller number of items. About 300 older family carers are invited to answer individually
the DQoL-OC and other similar questionnaires for these purposes. About 25 participants
taking part in this study are invited to answer the same questions with an interval of two
weeks in order to allow us to compare the results and its stability over this period of
time.
STUDY AIM: This study aims to develop a unique questionnaire to evaluate the quality of life
of older people providing care to family members with dementia at home and living in the UK
and evaluate its psychometric properties. It is aimed to allow researchers, health and
social professionals, as well as support groups' leaders, to quantify the experience of care
in old age, for the implementation and evaluation of interventions with these older family
carers aiming to improve their QoL. STUDY DESIGN: This study is being carried out through a
quantitatively focused sequential and exploratory mixed methods' design (qual ->QUAN)
(Creswell and Clark, 2011). It is a multi-centre and convenient sampled study (no
randomization). Focus groups were carried out in Nottinghamshire to ask the older family
carers what is important for their QoL (REC reference: D10072014 SoHS). The next study phase
will be carried out through pilot and re-test studies by using the newly developed DQoL-OC
and other validated scales. The study is managed from within the School of Health Sciences
at the University of Nottingham.
SELECTION AND WITHDRAWAL OF PARTICIPANTS: The study participants (n=300) will be recruited
from GP centres and Memory assessment services. Research posts and leaflets will be
available in visible places in the aforementioned NHS settings where family carers usually
have access. NHS staff may contact those family carers registered in the NHS system by
e-mail in order to inform them about the study. Potential participants will voluntarily
contact the PhD researcher Deborah Oliveira by e-mail, work address or telephone number for
more information. The research material (questionnaires and PIS) will be posted in a
pre-paid envelope to participants' address. About 25 participants taking part in the pilot
study will be invited to answer the same questionnaires for a second time, in a re-test
session, two weeks after the first set of measures. Participants that accept to take part on
the re-test will be sent a second envelope containing the same research material to be
filled in and posted back to the researcher within 14 days. This second questionnaire will
be sent together with the first one, so no address storage will be necessary. Each
participant will be taking part in the study for up to 45 minutes on average. If the
participant wants to participate in the re-test phase (2 weeks interval), this amount of
time should be doubled. This research will not collect participants' Informed consent (IC),
as only questionnaires will be utilized. Completion and subsequent return of questionnaires
will be taken as IC and separate written IC will not be sought. Participants taking part in
the re-test will receive both sets of measures (two weeks interval) at once and their
address information will be immediately destroyed. Participants will be informed that if in
30 days after the pilot questionnaire is received the re-test measures are not received,
this will be considered a withdraw from the re-test study and only the pilot measures will
be considered for the study.
Pilot study: Research data is collected using a research booklet containing the preliminary
version of the DQoL-OC and participants are also invited to comment on the clarity,
difficulty and relevance of the overall scale by using Likert scales (1-5), with possible
answers ranging from 'very clear' to 'not clear at all' for clarity, 'very difficult' to
'very easy' for levels of difficulty and 'strongly relevant' to 'strongly irrelevant' for
relevance, with space for comments in each of these questions. Participants are also invited
to comment about the presence of any possible upsetting question. In the same booklet, other
self-response questionnaires related to QoL and health are included in order to measure the
convergent construct validity of the new scale: the Satisfaction with Life Scale (SWLS)
(Diener et al., 1985); the Perceived Health Status Visual Analogue Scale (VAS) (Weinman et
al., 1995); an overall HRQoL VAS (Torrance, 1978, Carlsson, 1983, EuroQol, 1990, Bleichrodt
and Johannesson, 1997, Lundberg et al., 1999, Shmueli, 1999, Boer et al., 2004, Shmueli,
2005); the World Health Organization Quality of Life Scale for Aging Population - The
WHOQOL-AGE (Caballero et al., 2013). The first version of the DQoL-OC had its items created
based on the aforementioned qualitative findings and was submitted to an experts' panel to
evaluate its relevance and clarity (face and content validity). The preliminary version of
the DQoL-OC is divided in three separate sessions totalling 100 questions related to 1)
practical aspects of care and caregiving, 2) carers' feelings and concerns and 3)
satisfaction with life and caring. All the questions are designed in Likert format (1-5),
ranging from "never" to "always", "not at all" to "as much as needed" and "very satisfied"
to "very dissatisfied". At the end of the questionnaire there are two open questions that
allow carers to write down what most affect their QoL and if there is anything else that was
not covered in the questionnaire but yet is important for their QoL.
Re-test: A smaller group of participants (n maximum=25) taking part in the pilot study will
be invited by the Researcher to answer the same questionnaires for a second time, in a
re-test session, two weeks after the first set of measures. The same procedures utilized in
the pilot study will be applied here with regards participant recruitment. Participants that
accept to take part on the re-test will be sent a second envelope containing the same
research material to be filled in and posted back to the researcher within 14 days. This
second envelope will be posted together with the pilot questionnaire and will receive the
same code added of a letter for identification and future comparisons. Participants will be
informed that they can withdraw of this research activity if they wish to before the 14 days
deadline and it is the researcher's responsibility to identify another participant to be
included in the re-test study if that is the case. Besides their address details, no other
personal data is collected.
DATA ANALYSIS: All the statistic tests will be developed in SPSS 22 statistics package, with
confidence intervals of 95% and significant p-value ≤ 0.05. Descriptive (frequencies, mean,
median, mode, and standard deviation), suitable correlation statistics (ANOVA) and ceiling
and floor effect will be calculated for all the variables. The participants' subjective
views regarding the clarity, relevance, levels of difficulty of the new scale DQoL-OC will
be analysed by using Kappa coefficient, in order to provide an average score of agreement
among the participants about the overall instrument (Streiner and Norman, 1995, Rubio et
al., 2003, Leung et al., 2005, Polit and Beck, 2006, Nagpal et al., 2010, Wassef et al.,
2014, Landis and Koch, 1977). Aiming to determine whether the DQoL-OC assess the same
construct of QoL as other valid and reliable instruments selected from the literature, the
construct validity of the DQoL-OC will be evaluated through suitable correlation statistics
(ANOVA), correlating the DQoL-OC scores and the other validated scales completed by the
participants, as previously mentioned. In addition to that, Factor analysis (FA) will be
used to explore the inter relationship between the variables and to further refine and
reduce the instrument. For FA, besides the sample size, the strengths of the
inter-correlations between the items also must be considered. First of all it is necessary
to inspect the correlation matrix to evaluate the suitability of data to FA (should be ≥
0.30) (Tabachnick and Fidell, 1996). In addition, the extent of Kaiser-Meyer-Oklin of sample
adequacy will be performed (which should be ≥ 0.60) (Kaiser and Caffey, 1965, Kaiser, 1970,
Dziuban and Shirkey, 1974) and the significance of the Bartlett's Test of Sphericity
correlation (Bartlett, 1954) will be analysed to support the factorability of the
correlation matrix. According to these results, the data will be submitted to the FA or will
be further modified to suitable it to FA. To give an estimate of the equivalence of sets of
items from the same instrument, based on the assumption that items measuring the same
construct should correlate, the internal consistency of the DQoL-OC will be calculated by
using Cronbach's coefficient. Finally, aiming to evaluate whether the measurements provided
by the DQoL-OC are stable over the time, the two set of measures of the participants who
take part in the re-test will be compared by using Kappa coefficient, with scores ≥ 0.60 for
good re-test reliability. The closer the results, the greater the test-retest reliability of
the DQoL-OC. The data analysis will take place in UoN computers and will be backed up to the
UoN servers.
SAMPLE SIZE AND JUSTIFICATION: There are no agreement in the literature regarding the
appropriate sample size to use when conducting a factor analysis (Mundfrom et al., 2005).
Even though bigger sample sizes (n>500) are indicative of better factor discrimination
(Costello and Osborne, 2005) there are several studies showing that adequate sample size is
partly determined by the nature of the data and not only the number of participants, meaning
that the stronger the data, the smaller the sample is necessary for an accurate analysis
(Fabrigar et al., 1999, MacCallum et al., 1999). Strong data for factor analysis is
associated with uniformly high communalities without cross loadings and several variables
loading strongly on each other, with such characteristics being considered rare (Costello
and Osborne, 2005). Although absolute minimum sample size is not often presented in the
literature, in general, small sample sizes are accepted for higher levels of communality
within the data and higher ratios of the number of variables to the number of factors
(Mundfrom et al., 2005). Mundfrom et al. (2005) stress that small number of variables
requires a larger minimum sample size than does a large number of variables, as the relation
between the minimum necessary sample size and the number of variables seems compensator, as
it does the relation between the minimum necessary sample size and the ratio of the number
of variables to the number of factors. These authors propose that for a low communality
factors within the matrix under study, a minimum acceptable sample size would be 200
participants. Accordingly, it was stipulated a maximum of 300 participants in this pilot
study, considering that the factor communality under study is still unknown and also being
careful with the possibility of missing data. The n=25 for the reliability re-test also
followed the recommendations available in the literature (Sim and Wright, 2005). Besides the
sample size, the strengths of the inter-correlations between the items will be evaluated
with the Bartlett test of Sphericity and the extent of Kaiser-Meyer-Oklin (KMO) of sampling
adequacy will also be used to assess the adequacy of the data for FA. The data will be then
submitted to the FA or will be further modified for suitability for FA. If the study needs a
bigger sample size, the Ethics Committee will be contacted and an approval to exceed the
number of participants will be sought before the recruitment of more carers.
DATA DISSEMINATION: The findings of the study will be written as part of a PhD thesis in the
University of Nottingham with submission date expected for September 2016. The results may
be submitted for publication in peer reviewed journals or to academic or scientific events.
The data provided by the participants are anonymous and the answers of each participant will
receive as specific code that only the Chief investigator and co-investigators will have
access. The data may also be used to inform future research and policy. The participants and
other stakeholders may receive a fed back of the results in anonymity.
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