2017
DOI: 10.1186/s12955-017-0744-3
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Development of diabetes-specific quality of life module to be in conjunction with the World Health Organization quality of life scale brief version (WHOQOL-BREF)

Abstract: BackgroundAlthough numerous health-related quality of life (HRQoL) instruments are available for patients with diabetes, the length of these measures may limit their feasibility to routine practice. Also, these measures do not distinguish items for generic and diabetes-specific HRQoL. This study was aimed to develop a diabetes-specific quality of life questionnaire module (DMQoL) to be in conjunction with the World Health Organization Quality of Life scale brief version (WHOQOL-BREF).MethodsOne hundred sevente… Show more

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Cited by 36 publications
(32 citation statements)
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“…Quality of life is an important indicator of patients with chronic diseases, including diabetes (Katon, et al, 2008;Murillo et al, 2017). Health-related quality of life is a multi-dimensional construct that is built from a patient's perception of the impact of a disease and its care on aspects of life, including physical, psychological, and social (Lin et al, 2017). Children and adolescents with T1DM have a lower quality of life compared to children and adolescents who are healthy, and depressions are more common in type-1diabetes (Gendelman et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Quality of life is an important indicator of patients with chronic diseases, including diabetes (Katon, et al, 2008;Murillo et al, 2017). Health-related quality of life is a multi-dimensional construct that is built from a patient's perception of the impact of a disease and its care on aspects of life, including physical, psychological, and social (Lin et al, 2017). Children and adolescents with T1DM have a lower quality of life compared to children and adolescents who are healthy, and depressions are more common in type-1diabetes (Gendelman et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…PROMs either measure general health or diseasespecific health, with in most PROMs emphasis on the latter [12]. However, several studies have underlined the relevance of combining the advantages of generic and disease-specific questionnaires [2,5,13]. The ABCC-tool may combine the conveniences of both, and as suchand as far as we know -is unique in its kind.…”
Section: Discussionmentioning
confidence: 99%
“…Certainly in case of multimorbidity, care should be person-centred instead of disease-centred, mainly focused on QoL, and promote self-management using agreed personalised goals [4]. The ABCC-tool fits with the vision that care for chronic conditions should not be based on clinical outcomes alone, but also on physical, mental and social well-being [13,14]. Moreover, it is in line with the thought of integrated care, viewing the patient in a holistic perspective and leading to advice that is tailored to the patient's needs [15].…”
Section: Discussionmentioning
confidence: 99%
“…Third, the sample size in this study was not large enough for us to analyze every item on SQLS-R4, and we only can analyze the staionarity for the domain scores only. The rule of thumb for calculating sample size in a factor analysis is 5 to 10 respondents per item [35]. Therefore, the sample size will be between 290 (5 respondents x 29 items x 2 time points) and 580 (10 respondents x 29 items x 2 time points) if we want to analyze the stationarity for the item scores using the CFA.…”
Section: Unsatisfactory Fit Indices Are Underlinedmentioning
confidence: 99%