- Open Access
Psychometric properties of the Greek Diabetes Treatment Satisfaction Questionnaire
© Kontodimopoulos et al; licensee BioMed Central Ltd. 2012
- Received: 14 May 2011
- Accepted: 1 February 2012
- Published: 1 February 2012
Measurement of treatment satisfaction in diabetes is important as it has been shown to be associated with positive outcomes, reduced disease cost and better health. The aim of this study was to assess the construct validity and internal consistency reliability of the Greek version of the Diabetes Treatment Satisfaction Questionnaire (DTSQ).
A sample of type II diabetes patients (N = 172) completed the DTSQ status version, the SF-36 health survey and also provided data regarding treatment method, clinical and socio-demographic status. Instrument structure, reliability (Cronbach's a) and construct validity (convergent, discriminative, concurrent and known-groups) were assessed.
The DTSQ measurement properties were confirmed in the Greek version with confirmatory factor analysis (CFA). Scale reliability was high (Cronbach's a = 0.92). Item-scale internal consistency and discriminant validity were also good, exceeding the designated success criteria. Significant correlations were observed between DTSQ items/overall score and SF-36 scales/component scores, which were hypothesized to measure similar dimensions. Known groups' comparisons yielded consistent support of the construct validity of the instrument.
The instrument was well-accepted by the patients and its psychometric properties were similar to those reported in validation studies of other language versions. Further research, incorporating a longitudinal study design, is required for examining test-retest reliability and responsiveness of the instrument, which were not addressed in this study. Overall, the present results confirm that the DTSQ status version is a reasonable choice for measuring diabetes treatment satisfaction in Greece.
- treatment satisfaction
Diabetes is a major cause of morbidity and mortality and the prevalence of the disease has reached epidemic proportions, with the global number of people with diabetes projected to rise from approximately 170 million in 2000 to approximately 370 million in 2030 . About 90-95% of all cases are type 2, also known as adult-onset diabetes . Diabetes is further burdened with an increased risk of complications, which have important effects on patients' quality of life as well as socio-economic implications . Overall, diabetes affects various domains of functioning and well-being and people with diabetes generally report worse health status and other outcomes than those without [4–6]. Severe dietary restriction, self administration of medications, routine blood glucose monitoring, and exercise demands are some of the ways in which diabetes can impact on quality of life.
Treatment satisfaction is defined by the individual's view of treatment and outcomes  and is particularly important for the acceptance of, and compliance with, treatment regimens . Numerous health organizations have included measurement of patient satisfaction in projects designed to improve quality of care [9, 10], which is evaluated by three equally important measures: structure, process and outcomes. Treatment satisfaction is included in the process component and is used as an important indicator of quality of care . In diabetes, it has been shown that increased treatment satisfaction is associated with other positive outcomes , reduced disease cost [12–14], and improved health status [11, 15, 16].
The Diabetes Treatment Satisfaction Questionnaire (DTSQ) [17, 18] is a globally accepted and used instrument to evaluate treatment satisfaction in diabetes mellitus. It has been recommended by the World Health Organisation and the International Diabetes Federation as useful in assessing outcomes of diabetes care  and has been used in many previous studies [11, 15, 20]. Given its widespread acceptance as a valid measure of treatment satisfaction in diabetes, the purpose of this study was to evaluate the psychometric properties of the original (status) version of the Greek DTSQ.
The DTSQ was designed to make an assessment of total diabetes treatment satisfaction, treatment satisfaction in specific areas and perceived frequencies of hyperglycemia and hypoglycemia. It consists of eight items rated on a 0-6 scale. Six items specifically address: satisfaction with current treatment (item 1), treatment convenience (item 4), flexibility of treatment (item 5), understanding of diabetes (item 6), recommending treatment (item 7) and continuing treatment (item 8). The scores are summed into an overall satisfaction index ranging from 0 (very dissatisfied) to 36 (very satisfied). Items 2 and 3 evaluate the perceived frequency of hyper- and hypoglycemia respectively, with the scale reversed and lower scores indicating reduced hyper or hypoglycaemia. The DTSQ has been used extensively in clinical trials and in routine clinical monitoring and has now been linguistically validated in more than 100 languages. It has been used to measure patient satisfaction with treatment and has proved to be highly sensitive to changes in treatment, e.g. from rigid to flexible insulin treatment , from tablets to insulin injections  and from one insulin regimen to another [23, 24]. The Greek version of the DTSQ has been linguistically validated using standard and well recognised methods , and the instrument developers were actively involved from the back translations onward, commenting and discussing at each stage.
The SF-36 Health Survey includes eight dimensions: physical functioning, "role physical", bodily pain, general health, vitality, social functioning, "role emotional" and mental health . Each dimension is scored on a 0-100 scale with 0 and 100 corresponding to worst and best health status respectively , and the eight dimensions can also be summarized in two summary scores of physical and mental health . The instrument has been translated into Greek and its reliability and validity were established in a representative sample of adults living in the greater Athens area. It was found to have high internal consistency reliability, convergent and discriminative validity and able to distinguish between groups of respondents in the expected manner (known-groups' validity) on the basis of gender, age and socio-economic status . Using the same sample, the eight-scale structure of the Greek version of the instrument has been confirmed as well . The SF-36 has been shown to discriminate well between perceptions of people with or without one or more chronic diseases , and has been previously used in Greek studies of people with diabetes [32, 33].
Sample and data collection
The data were collected between November 2008 and February 2009. The sample consisted of type 2 diabetes patients living in areas served by the "Agia Varvara" Health Centre, located close to Heraklion on the island of Crete. Consecutive patients were approached by the same social worker and asked to participate in the study. It should be noted that most of the residents in this Health Centre's catchment area are older people and of relatively low educational status. The presence of the social worker, with whom the patients were familiar with, aimed to assist them in understanding the questions and to resolve any misconceptions. The survey included the SF-36 and DTSQ as well as socio-demographic and other diabetes-specific questions. Completion time was approximately 25 minutes and 172 out of 191 patients visiting the facility during the study period agreed to participate (90.1% response rate). The Health Centre's Review Board granted ethical approval for this study and all participants provided informed consent.
Descriptive statistics and response frequencies for each item were calculated in order to examine central tendency, variability and symmetry. Scale reliability was calculated using Cronbach's alpha and the 0.70 standard for group-level comparisons was adopted . Confirmatory factor analysis (CFA) was used to confirm that the measurement properties of the original version of the instrument apply to the Greek version as well. Goodness of fit was examined via: i) χ2/df (chi-square/degrees freedom) with values of less than 3 indicating a good fit, ii) root mean square error of approximation (RMSEA) with values < 0.05 indicating a close fit and iii) comparative fit index (CFI) for which values > 0.9 indicate a good fit .
Item internal consistency, which is substantial when correlation between an item and its hypothesised scale (corrected for overlap) is > 0.40, and item discriminant validity which is successful when correlation between an item and its own scale is significantly higher (> 2 standard errors) than with other scales , were used to examine the hypothesised structure of the instrument. Correlations between DTSQ items and SF-36 scales were examined to assess convergent construct validity, based on substantial correlations of related items/scales reported in the literature. Specifically, positive correlations were expected between treatment satisfaction and domains of physical and mental health status [37, 38]. Known groups' validity was assessed by testing the DTSQ's ability to discriminate between groups of patients known to differ. Gender, age, years with diabetes, BMI, HbA1c level, treatment method, comorbidities, macro- and microvascular complications were used as testing criteria, and differences were examined with t-test and ANOVA. According to the literature, lower treatment satisfaction was expected in females [15, 38, 39], in younger diabetics , in insulin-treated patients [15, 38, 40], in the presence of diabetic complications [11, 15, 38, 40], and in patients with higher BMI  and HbA1c [11, 17] values. Multivariate OLS regression identified independent sociodemographic, clinical and treatment-related variables associated with treatment satisfaction and perceived hyper- and hypoglycaemia. Probabilities < 0.05 were regarded as statistically significant. All analyses were performed using SPSS software, version 17.0 (SPSS Inc., Chicago IL).
Sample characteristics (N = 172)
(Mean ± SD)
Age (mean ± SD)
65.2 ± 13.1
Diabetes duration (mean ± SD)
5.2 ± 4.9
BMI (Kg/m2) (mean ± SD)
31.2 ± 5.9
Recent HbA1c level
Diabetes control method
Macrovascular heart disease
DTSQ item descriptive statistics
Item response distribution (%)
Factor loadings, internal consistency and item-scale correlations (N = 172)
Internal consistency reliability1
Pearson's correlations between DTSQ and SF-36 scales and summary components (N = 172)
DTSQ items and scale1
Current treatment (item 1)
Perceived hyperglycaemia (item 2)
Perceived hypoglycaemia (item 3)
Treatment convenience (item 4)
Treatment flexibility (item 5)
Treatment understanding (item 6)
Treatment recommendation (item 7)
Treatment continuation (item 8)
Overall score (treatment satisfaction)
Perceived treatment satisfaction, hyper- and hypoglycaemia by demographic and diabetes-related variables
Years with diabetes
< 6.5% (good)
> 7.5% (poor)
≥ 1 comorbidity2
≥ 1 microvascular complication3
Multivariate OLS regression models
The DTSQ status version has been linguistically validated into Greek according to procedures documented elsewhere . The aim of this study was to collect evidence of the validity and reliability of this Greek version for use in studies with Greek samples. The expected added value to the existing international body of knowledge on the subject is the increased confidence in results from national studies employing the instrument and the potential for international comparisons. Although generic health status instruments (e.g. SF-36) have shown their validity in Greek samples of people with diabetes [32, 33], and the DTSQ has been used in one previous Greek study , we are unaware of previous studies measuring the psychometric properties of any diabetes treatment satisfaction instrument in Greece, implying that this research can fill an existing void in this area.
The overall results for the psychometric properties of the instrument were good. The absence of ceiling effects, although a sign of good discriminative ability, is fairly surprising in the context of measurement of satisfaction, which is known to often lead to skewed distributions of responses. In this respect, our results are inconsistent with previous studies having suggested maximum or close-to-maximum DTSQ scores at baseline. One explanation for the relatively low satisfaction reported here (17.5 mean DTSQ score) may come from the poor health status of the sample, although it is impossible to support any casual relationships with the data. The SF-36 scale scores (not shown) were lower for physical functioning, general health, vitality (P < 0.001), mental health (P < 0.01), social functioning and pain (P < 0.05) than the respective general population scores reported in the instrument validation study . There is strong evidence in the literature supporting the positive association between health status and diabetes treatment satisfaction [11, 15].
A cultural effect, in this particular sample, might also exist and explain to some extent the absence of ceiling effects. The health care facility in this study is located in a semi-urban/rural area where patients are attended by a generalist and not a diabetic specialist. Although the literature shows similar satisfaction between diabetes patients of family practitioners and endocrinologists/internists , studies in Greece have shown higher satisfaction with health services in urban compared to rural health facilities . Furthermore, our low satisfaction scores are probably not linked to the presence of the social worker during completion of the survey by the patients, as this would have been expected to generate higher scores due to the possibility of social desirability bias. In any case, ceiling effects provide little opportunity for registering improvement in satisfaction with treatment or strategy being assessed [46, 47], and it was for this reason that the DTSQ change version was designed and developed, and proposed for use in intervention studies in addition to the DTSQ (status) .
The measurement properties of the instrument were confirmed with CFA and goodness of fit was demonstrated via three different indices for which values were within, or close to, the suggested limits. Scale internal consistency reliability was very high and exceeded the corresponding reliability coefficients reported in similar studies [41, 49–51]. Item internal consistency and discriminant validity were good as well, providing evidence to confirm the hypothesised structure of the DTSQ and to suggest that the translation of the items and the response choices are appropriate. It should be noted that the cross-sectional design employed in the present study precluded the assessment of responsiveness of the instrument.
In diabetes, the measurement of health status is concomitant with assessments of satisfaction with the quality of care . In the present study, significant correlations were observed between the DTSQ items and overall satisfaction and the SF-36 scales and component scores. This was expected since diabetes is a chronic disease with a wide range of associated disability and discomfort which is typically captured by health status instruments. Our results conform to the literature which shows that poorer treatment satisfaction is generally associated with worse perception of physical and mental well-being [15, 41, 49]. In one particular study employing the DTSQ and the SF-12 (a shorter version of the SF-36 for measuring health status), lower treatment satisfaction was correlated with worse self-rated mental and physical health status scores . However, in another DTSQ validation study employing the SF-36, strong correlations were found between WHO-WBQ scales and the mental dimensions of the SF-36 questionnaire, but not between DTSQ and SF-36 scores, suggesting that additional data are required to determine the most appropriate health status instrument to be administered alongside the DTSQ . Regarding the two perceived blood glucose control items, the correlations between perceived hyper- and hypoglycaemia and SF-36 were in accordance with results from a similar DTSQ validation study .
Known-groups' validity was supported by the presence of macrovascular complications (coronary and/or vascular disease) negatively affecting treatment satisfaction. The same applied for diabetic foot, and although the subsample with foot ulcers was quite small (N = 11), the DTSQ decrements were sufficiently large to provide statistical power for comparisons. These findings are consistent with the results of numerous previous studies having reported a negative effect of the presence of any diabetic complications [11, 15, 38, 41, 52]. Higher satisfaction was recorded from patients on oral agents, as opposed to insulin therapy. Apart from the obvious fact that injecting insulin is less comfortable than taking a pill, this particular result might be indicating that patients perceive insulin treatment as deterioration in their health status. It might also be that diabetic patients who need insulin have longer disease duration with more complications. Higher HbA1c levels were also linked to lower treatment satisfaction in the univariate analyses and were also significant predictors of satisfaction, hyper- and hypoglycaemia in the respective regression models. In any case, there is disagreement in the literature on the association of these parameters and satisfaction as some studies have demonstrated the existence of such a relationship [11, 15, 37], while others have not [49, 50].
Gender, disease duration and obesity were apparently not related to treatment satisfaction, however the former was associated with perceived hyper- and hypoglycaemia, as men experienced episodes more frequently than women. Most studies have indicated lower satisfaction among women [15, 49, 51], although others could not find any gender effects [41, 53]. Age was a borderline significant (P < 0.067) factor with a negative relationship with satisfaction, however it was a significant predictor in the regression model, in accordance with results reported elsewhere . The role of obesity in treatment satisfaction is not clear and some studies have confirmed it as a disadvantage [11, 51], whereas other have not [49, 53]. In our study, obesity was a non-relevant factor for treatment satisfaction. It is worth mentioning that the mean BMI in the sample was 31.2 Kgr/m2, which is apparently high but not unusual in this type of population, as shown in a relevant Greek study . Moreover, the prevalence of obesity in Greece is the highest among European countries, reaching 26.0% and 18.2% in men and women respectively . Finally, no association between comorbidities and treatment satisfaction was found, despite the high prevalence of comorbidities in this sample. A possible explanation is that the most common comorbid conditions were hyperlipidaemia and hypertension, which are "silent" diseases.
A potential limitation of this study might arise from the DTSQ being completed in the presence of a social worker who the patients knew and felt comfortable with. This approach, as opposed to self-administration for which the instrument was designed, was adopted as it would otherwise be difficult for this aged and low educational status rural sample to successfully complete the survey. One might claim that this may have weakened the results on quality of completion, since the social worker could actively ask for responses, or even have led patients to be more sincere, as patients tend to give socially desirable responses so as not to criticize their treatment (or their physician) [55, 56]. As previously mentioned, the absence of a ceiling effect and the low satisfaction scores recorded in this study imply that social desirability bias was not a problem.
Internal consistency reliability and cross-sectional construct validity of the Greek DTSQ were satisfactorily demonstrated; however the cross-sectional design of the present study precludes examining test-retest reliability and responsiveness. Thus, a longitudinal study design could be considered to overcome these limitations, as well as to validate the present results. The instrument was well-accepted by the patients and its psychometric properties were similar to those reported in validation studies of other language versions. Overall, the results confirm that the DTSQ status version is a reasonable choice for measuring diabetes treatment satisfaction in Greece. Providing that future research addresses the aforementioned issues, as well as testing the DTSQ change version, results from Greek studies can be expected to add to the international body of knowledge on treatment satisfaction.
We are grateful to the developer of the DTSQ Professor Clare Bradley for granting us permission to use the instrument in our study and for reviewing a draft version of this manuscript. We also thank our colleague Evangelos Dimopoulos for his technical assistance in conducting some of the statistical analyses.
- Wild S, Roglic G, Green A, Sicree R, King H: Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 2004, 27: 1047–53. 10.2337/diacare.27.5.1047View ArticlePubMedGoogle Scholar
- Stumvoll M, Goldstein BJ, van Haeften TW: Type 2 diabetes: Principles of pathogenesis and therapy. Lancet 2005, 365: 1333–46. 10.1016/S0140-6736(05)61032-XView ArticlePubMedGoogle Scholar
- Massi-Benedetti M: The cost of Diabetes Type II in Europe. The CODE-2 Study. Diabetologia 2002, 4: S1-S4.View ArticleGoogle Scholar
- Rose M, Burkert U, Scholler G, Schirop T, Danzer G, Klapp BF: Determinants of quality of life of patients with diabetes under intensified insulin therapy. Diabetes Care 1998, 21: 1876–85. 10.2337/diacare.21.11.1876View ArticlePubMedGoogle Scholar
- Holmes J, McGill S, Kind P, Bottomley J, Gillam S, Murphy M: Health-related quality of life in type 2 diabetes (TARDIS-2). Value Health 2000, 3(Suppl 1):47–51.View ArticlePubMedGoogle Scholar
- Watkins K, Connell CM: Measurement of health-related QOL in diabetes mellitus. Pharmacoeconomics 2004, 22: 1109–26. 10.2165/00019053-200422170-00002View ArticlePubMedGoogle Scholar
- Weaver M, Patrick DL, Markson LE, Martin D, Frederic I, Berger M: Issues in the measurement of satisfaction with treatment. Am J Manag Care 1997, 3: 579–94.PubMedGoogle Scholar
- Albrecht G, Hoogstraten J: Satisfaction as determination of compliance. Community Dent Oral Epidemiol 1998, 26: 139–46. 10.1111/j.1600-0528.1998.tb01940.xView ArticlePubMedGoogle Scholar
- McCormick D, Himmelstein DU, Woolhandler S, Wolfe SM, Bor DH: Relationship between low quality-of-care scores and HMO's subsequent public disclosure of quality-of-care scores. J Am Med Assoc 2002, 288: 1484–90. 10.1001/jama.288.12.1484View ArticleGoogle Scholar
- Finkel MI: The importance of measuring patient satisfaction. Empl Benefits J 1997, 22: 12–15.PubMedGoogle Scholar
- Redekop WK, Koopmanschap MA, Stolk RP, Rutten GE, Wolffenbuttel BH, Niessen LW: Health-related quality of life and treatment satisfaction in Dutch patients with type 2 diabetes. Diabetes Care 2002, 25: 458–63. 10.2337/diacare.25.3.458View ArticlePubMedGoogle Scholar
- Menzin J, Langley-Hawthorne C, Friedman M, Boulanger L, Cavanaugh R: Potential short-term economic benefits of improved glycemic control: a managed care perspective. Diabetes Care 2001, 24: 51–55. 10.2337/diacare.24.1.51View ArticlePubMedGoogle Scholar
- Hogan P, Dall T, Nikolov P, American Diabetes Association: Economic costs of diabetes in the U.S. in 2002. Diabetes Care 2003, 26: 917–32.View ArticlePubMedGoogle Scholar
- Selby JV, Ray GT, Zhang D, Colby CJ: Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care 1997, 20: 1396–402. 10.2337/diacare.20.9.1396View ArticlePubMedGoogle Scholar
- Nicolucci A, Cucinotta D, Squatrito S, Lapolla A, Musacchio N, Leotta S, Vitali L, Bulotta A, Nicoziani P, Coronel G, QuoLITy Study Group: Clinical and socio-economic correlates of quality of life and treatment satisfaction in patients with type 2 diabetes. Nutr Metab Cardiovasc Dis 2009, 19: 45–53. 10.1016/j.numecd.2007.12.005View ArticlePubMedGoogle Scholar
- Pala T, Eser E, Ozmen B, Aydemir O, Boyvoda S: The determinants of quality of life including treatment satisfaction in patients with type two diabetes mellitus: are different generic Qol instruments sensitive to the same determinants? Turkish J Endocrinol Metabol 2004, 3: 91–99.Google Scholar
- Bradley C, Lewis KS: Measures of psychological well-being and treatment satisfaction developed from the responses of people with tablet-treated diabetes. Diabet Med 1990, 7: 445–51. 10.1111/j.1464-5491.1990.tb01421.xView ArticlePubMedGoogle Scholar
- Bradley C: The Diabetes Treatment Satisfaction Questionnaire: DTSQ. In Handbook of Psychology and Diabetes: a guide to psychological measurement in diabetes research and practice. Edited by: Bradley C. Chur, Switzerland: Harwood Academic; 1994.Google Scholar
- Bradley C, Gamsu DS: Guidelines for encouraging psychological well-being: Report of a working group of the World Health Organisation Regional Office for Europe and International Diabetes Federation European Region St. Vincent Declaration Action Programme for Diabetes. Diabet Med 1994, 11: 510–6.PubMedGoogle Scholar
- Saatci E, Tahmiscioglu G, Bozdemir N, Akpinar E, Ozcan S, Kurdak H: The well-being and treatment satisfaction of diabetic patients in primary care. Health Qual Life Outcomes 2010, 8: 67. 10.1186/1477-7525-8-67PubMed CentralView ArticlePubMedGoogle Scholar
- DAFNE Study Group: Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: the dose adjustment for normal eating (DAFNE) randomized controlled trial. BMJ 2002, 325: 746–9. 10.1136/bmj.325.7367.746PubMed CentralView ArticleGoogle Scholar
- Witthaus E, Stewart J, Bradley C: Improved psychological outcomes after initiation of insulin treatment in patients with Type II diabetes. Diabetologia 2000, 43(suppl 1):A205.Google Scholar
- Witthaus E, Stewart J, Bradley C: Treatment satisfaction and psychological well-being with insulin glargine compared with NPH in patients with Type 1 diabetes. Diabet Med 2001, 18: 619–25. 10.1046/j.1464-5491.2001.00529.xView ArticlePubMedGoogle Scholar
- Howorka K, Pumprla J, Schlusche C, Wagner-Nosiska D, Schabmann A, Bradley C: Dealing with ceiling baseline treatment satisfaction level in patients with diabetes under flexible, functional insulin treatment: assessment of improvements in treatment satisfaction with a new insulin analogue. Qual Life Res 2000, 9: 915–30. 10.1023/A:1008921419108View ArticlePubMedGoogle Scholar
- Acquadro C, Conway K, Girourdet C, Mear I: Linguistic validation manual for patient-reported outcomes (PRO) instruments. Lyon, France: MAPI Research Trust; 2004.Google Scholar
- Ware JE, Sherbourne CD: The MOS 36-item Short-Form Health Survey (SF-36). Conceptual framework and item selection. Med Care 1992, 30: 473–483. 10.1097/00005650-199206000-00002View ArticlePubMedGoogle Scholar
- Ware JE, Snow KK, Kosinski M, Gandek B: SF-36 Health survey manual and interpretation guide. Boston, MA: The Health Institute; 1993.Google Scholar
- Ware JE, Kosinski M, Keller SD: SF-36 physical and mental health summary scales: A user's manual. Boston MA: The Health Institute; 1994.Google Scholar
- Pappa E, Kontodimopoulos N, Niakas D: Validating and norming of the Greek SF-36 Health Survey. Qual Life Res 2005, 14: 1433–38. 10.1007/s11136-004-6014-yView ArticlePubMedGoogle Scholar
- Anagnostopoulos F, Niakas D, Pappa E: Construct validation of the Greek SF-36 Health Survey. Qual Life Res 2005, 14: 1959–65. 10.1007/s11136-005-3866-8View ArticlePubMedGoogle Scholar
- Alonso J, Ferrer M, Gandek B, Ware JE Jr, Aaronson NK, Mosconi P, Rasmussen NK, Bullinger M, Fukuhara S, Kaasa S, Leplège A, IQOLA Project Group: Health-related quality of life associated with chronic conditions in eight countries: Results from the International Quality of Life Assessment (IQOLA) Project. Qual Life Res 2004, 13: 283–98.View ArticlePubMedGoogle Scholar
- Papadopoulos AA, Kontodimopoulos N, Frydas A, Ikonomakis E, Niakas D: Predictors of health-related quality of life in type II diabetic patients in Greece. BMC Public Health 2007, 7: 186. 10.1186/1471-2458-7-186PubMed CentralView ArticlePubMedGoogle Scholar
- Papadopoulos AA, Kontodimopoulos Ν, Niakas D: Health related quality of life in type II diabetes patients: Assessing socio-demographic and clinical variables. In Health-Related Quality of Life. Edited by: Hoffmann EC. New York: Nova Science; 2009.Google Scholar
- Nunnaly JC, Bernstein IR: Psychometric Theory. 3rd edition. New York: McGraw-Hill; 1994.Google Scholar
- Brown TA: Confirmatory factor analysis for applied research. New York: Guilford Press; 2006.Google Scholar
- Ware JE, Gandek B: Methods for testing data quality, scaling assumptions and reliability: The IQOLA Project Approach. J Clin Epidemiol 1998, 51: 945–52. 10.1016/S0895-4356(98)00085-7View ArticlePubMedGoogle Scholar
- Westaway MS, Rheeder P, Van Zyl DG, Seager JR: Interpersonal and organizational dimensions of patient satisfaction: the moderating effects of health status. Int J Qual Health Care 2003, 15: 337–44. 10.1093/intqhc/mzg042View ArticlePubMedGoogle Scholar
- Biderman A, Noff E, Harris SB, Friedman N, Levy A: Treatment satisfaction of diabetic patients: what are the contributing factors? Fam Pract 2009, 26: 102–8. 10.1093/fampra/cmp007View ArticlePubMedGoogle Scholar
- Jonsson PM, Sterky G, Gafvals C, Ostman J: Gender equity in health care: the case of Swedish diabetes care. Health Care Women Int 2000, 21: 413–31. 10.1080/07399330050082245View ArticlePubMedGoogle Scholar
- Greenfield S, Kaplan SH, Kahn R, Ninomiya J, Griffith JL: Profiling care provided by different groups of physicians: effects of patient case-mix (bias) and physician-level clustering on quality assessment results. Ann Intern Med 2002, 136: 111–21.View ArticlePubMedGoogle Scholar
- Özmen B, Eser E, Özkaya Kafesçiler S, Pala T, Güçlü F, Hekimsoy Z: Psychometric properties and responsiveness of the Turkish version of the Diabetes Treatment Satisfaction Questionnaire(s) on a sample of diabetics of three consecutive monitoring periods. Acta Diabetol 2010, 47(Suppl 1):123–31.View ArticlePubMedGoogle Scholar
- Browne MW, Cudeck R: Alternative ways of assessing model fit. In Testing Structural Equation Models. Edited by: Bollen KA, Long JS. Beverly Hills, CA: Sage; 1993.Google Scholar
- Kontodimopoulos N, Pappa E, Chadjiapostolou Z, Arvanitaki E, Papadopoulos AA, Niakas D: Comparing the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetic complications. Eur J Health Econ 2012, 13: 111–20. 10.1007/s10198-010-0290-yView ArticlePubMedGoogle Scholar
- Chin MH, Zhang JX, Merrell K: Specialty differences in the care of older patients with diabetes. Med Care 2000, 38: 131–40. 10.1097/00005650-200002000-00003View ArticlePubMedGoogle Scholar
- Niakas D, Gnardellis C, Theodorou M: Is there a problem with quality in the Greek hospital sector? Preliminary results from a a patient satisfaction survey. Health Serv Manag Res 2004, 17: 62–9. 10.1258/095148404322772741View ArticleGoogle Scholar
- Bradley C, Speight J: Patient perceptions of diabetes and diabetes therapy: assessing quality of life. Diabetes Metab Res Rev 2002, 18(Suppl 3):S64–9.View ArticlePubMedGoogle Scholar
- Pouwer F, Snoek FJ, Heine RJ: Ceiling effect reduces the validity of the Diabetes Treatment Satisfaction Questionnaire (Letter). Diabetes Care 1998, 21: 2039.View ArticlePubMedGoogle Scholar
- Bradley C: Diabetes treatment satisfaction questionnaire. Change version for use alongside status version provides appropriate solution where ceiling effects occur. Diabetes Care 1999, 22: 530–2. 10.2337/diacare.22.3.530View ArticlePubMedGoogle Scholar
- Wredling R, Stålhammar J, Adamson U, Berne C, Larsson Y, Ostman J: Well-being and treatment satisfaction in adults with diabetes: a Swedish population-based study. Qual Life Res 1995, 4: 515–22. 10.1007/BF00634746View ArticlePubMedGoogle Scholar
- Westaway MS, Seager JR: The Diabetes Treatment Satisfaction Questionnaire: a cross-cultural South African perspective. Diabetes Care 2004, 27: 618. 10.2337/diacare.27.2.618View ArticlePubMedGoogle Scholar
- Nicolucci A, Giorgino R, Cucinotta D, Zoppini G, Muggeo M, Squatrito S, Corsi A, Lostia S, Pappalardo L, Benaduce E, Girelli A, Galeone F, Maldonato A, Perriello G, Pata P, Marra G, Coronel GA: Validation of the Italian version of the WHO-Well-Being Questionnaire (WHO-WBQ) and the WHO-Diabetes Treatment Satisfaction Questionnaire (WHO-DTSQ). Diabetes Nutr Metab 2004, 17: 235–43.PubMedGoogle Scholar
- Brod M, Cobden D, Lammert M, Bushnell D, Raskin P: Examining correlates of treatment satisfaction for injectable insulin in type 2 diabetes: lessons learned from a clinical trial comparing biphasic and basal analogues. Health Qual Life Outcomes 2007, 5: 8. 10.1186/1477-7525-5-8PubMed CentralView ArticlePubMedGoogle Scholar
- Petterson T, Lee P, Hollis S, Young B, Newton P, Dornan T: Well-being and treatment satisfaction in older people with diabetes. Diabetes Care 1998, 21: 930–5. 10.2337/diacare.21.6.930View ArticlePubMedGoogle Scholar
- Kapantais E, Tzotzas T, Ioannidis I, Mortoglou A, Bakatselos S, Kaklamanou M, Lanaras L, Kaklamanos I: First National Epidemiology study on the prevalence of obesity and abdominal fat distribution in Greek adults. Ann Nutr Metab 2006, 50: 330–38. 10.1159/000094296View ArticlePubMedGoogle Scholar
- Fallowfield L: The ideal consultation. Br J Hosp Med 1992, 47: 364–67.PubMedGoogle Scholar
- Zachariae R, Pedersen CG, Jensen AB, Ehrnrooth E, Rossen PB, von der Maase H: Association of perceived physician communication style with patient satisfaction, distress, cancer-related self-efficacy, and perceived control over the disease. Br J Cancer 2003, 88: 658–65. 10.1038/sj.bjc.6600798PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.