The relationship between glycemic control and health-related quality of life in patients with non-insulin-dependent diabetes mellitus

Implications of Patient-Reported Outcome Measures among patients with recently diagnosed type 2 diabetes

BACKGROUND

For the past two decades, the assessment of the quality of diabetes care has mostly relied on clinical quality indicators. These have not included Patient-Reported Outcome Measures (PROMs) which provide information on outcomes deemed valuable by patients. We aimed to examine the potential utility of PROMs in type 2 diabetes care and to study the association of PROMs with patients' characteristics and clinical quality indicators.

METHODS

A cross-sectional survey of recently (≤ 4 years) diagnosed patients with type 2 diabetes (n = 392) in the setting of a large health plan. PROMs were based on two well-validated questionnaires, the Problem Areas in Diabetes (PAID) one-page questionnaire that measures diabetes-related distress, and the ten item PROMIS-10 global health questionnaire that measures general health. Additional items were added following a previous qualitative study among Israeli patients with diabetes. The survey was carried out using phone interviews, and data collected were linked to the electronic medical records. Multivariable regression models were used to assess the associations of socio-demographic variables and clinical quality indicators with the PROMs.

RESULTS

About a fifth of participants (22%) had high diabetes-related distress (PAID score ≥ 40), a third reported that they did not feel confident in self-management of diabetes and about a third reported having sexual dysfunction. Women, younger patients, and those with a low education level (≤ 12 years) reported worse general health, were more likely to experience high diabetes-related distress, and to have low confidence in diabetes self-management. Interestingly, performance of all seven diabetes quality indicators was associated with worse general health and high diabetes-related distress. Of note, levels of glycated hemoglobin, LDL-cholesterol, or blood pressure were not associated with PROMs.

CONCLUSIONS

PROMs provide important information on patient self-reported health status and are likely to reflect aspects of the quality of care that are not otherwise available to clinicians. Thus, the use of PROMs has the potential to expand the evaluation of diabetes care and promote patient-centered care. We recommend that policy-makers in the Ministry of Health and health maintenance organizations implement PROMs for assessing and improving the care for patients with type 2 diabetes.

The Health-Related Quality of Life of Patients with Type 2 Diabetes in Saudi Arabia

OBJECTIVE

Diabetes mellitus (DM) is one of the most common chronic diseases in the world. Diabetes mellitus has a major effect on patients' quality of life, especially when the patient has other comorbidities. Therefore, this study aims to assess the quality of life of type 2 diabetic patients in the Al-Ahsa region of Saudi Arabia.

METHODS

This was a cross-sectional study, which was conducted from September 2020 to May 2021 on patients with type 2 diabetes mellitus in the Al-Ahsa region of Saudi Arabia. Inclusion criteria were patients diagnosed with T2DM and aged 18 years and older. The EQ-5D-5L tool was used in this study to measure the quality of life.

RESULTS

A total of 321 patients with T2DM participated in the study. Only 8.4% of the study participants reported that their disease did not let them do their daily activities at all. The most commonly reported problems related to diabetes mellitus and its effect on patients' quality of life were pain/discomfort (around 68.0% of the patients reported some sort of problems in this dimension), followed by mobility, and depression and anxiety. There was a significant difference between males and females in terms of their quality of life, specifically self-care, pain and discomfort, and depression and anxiety (p<0.05). Patients from different marital statuses, education levels, employment status, and duration of the disease showed a significant difference in quality of life, except for depression and anxiety (p>0.05).

CONCLUSION

Pain/discomfort, mobility, and depression/anxiety are the main problems that are affecting diabetic patients' quality of life. Future studies are recommended to explore the effectiveness of patient tailored interventions to decrease the negative impact of these dimensions on patients' quality of life.

Effect of pandemic on Quality of life in Diabetics (QOLID) assessment: Data from a teaching hospital in Bhubaneswar, Odisha, India

Background:

Quality of life in Diabetics (QOLID) questionnaire is a validated tool to assess the quality of life affected by diagnosed diabetic patients and has 8 sub domains, which are essential factors that have proven effect on the management. In a state of art Diabetic clinic in Bhubaneswar city, the tool was used to add more quality to diabetic management.

Methods:

The ongoing assessment through the months of 2020 (study period being from December 2019 to August 2020), offered an opportunity to assess the effect of the pandemic on QOLID scores and review some nascent or strong factors which may be affecting chronic disease management.

Results:

Complete data could be collected from 599 subjects, 343 from pre pandemic and 256 from pandemic period. The overall scores which were on 100, did not show any significant difference for pre covid and the Covid period, interestingly nearly 1.93 points better in Covid period (69.69±11.10 vs71.62±8.49; p=0.396). Mild difference in overall scores of 4.82 points is seen in females in Covid period; and as seen in age group data maximum gain in sub domains, more for females is seen in the emotional and mental health. Though women reporting to the clinic in both periods are usually in 1:2 ratios, as against men; but QOLID scores in both men and women in Covid period was 71 to 80 points. After the univariate analysis for significant factors, it was that Covid (1.50; 1.08 - 2.07) ; compliance to medications (2.27; 1.48 - 3.50) and reporting of all diabetic complications especially that of eye and depression are coming out to be strong associative factors to affect QOLID scores. Interestingly, rising education has a protective effect on QOLID scores that was significant as higher awareness and better job or earning opportunities may be a contributor for higher QOLID scores for the well educated.

Conclusion:

This brings out a strong emphasis on QOL assessments to be made an inbuilt part of Diabetic management at all centers to maximize treatment outcomes

Quality of Life Assessment in Diabetic Patients Using a Validated Tool in a Patient Population Visiting a Tertiary Care Center in Bhubaneswar, Odisha, India

Odisha has 4.2 million diabetic patients against the country's 70 million with an urban prevalence of nearly 15.4%. Diabetes is affecting younger age groups, thus having a crucial impact on quality of life of the affected. A qualitative endeavour was attempted at the diabetic clinic of a tertiary care set up in the capital city of Bhubaneswar to create a diabetic surveillance data assembly, wherein subjects above 18 years of age and newly diagnosed or on follow-up, after obtaining informed consent, were made to respond to a quality of life (QOLID) validated tool. The pretested tool has 8-domain role limitation due to physical health, physical endurance, general health, treatment satisfaction, symptom botherness, financial worries, emotional/mental health, and diet advice tolerance. The validated tool had 34 items (questions) that were selected to represent these domains on the basis of extraction communality, factor loading, and interitem and item-total correlations. The final questionnaire had an overall Cronbach's alpha value of 0.894 (subscale: 0.55 to 0.85), showing high internal consistency in the current study population. A score for each domain was calculated by simple addition of items scores. Each individual domain score was then standardized by dividing by maximum possible domain score and multiplying by 100. All individual standardized domain scores were then added and divided by 8 (number of domain) to obtain an overall score. The data collection was done for 400 patients as an interim analysis. Univariate and subsequently multivariate analysis was performed to decide the predictors that affected quality of life. Age over 50 years (OR = 1.81, CI 1.12–2.93; p=0.014), female gender (OR = 2.05, CI 1.26–3.35; p=0.004), having foot complications (OR = 2.81, CI 1.73–4.55; p < 0.001), and having depression (OR = 1.88, CI 1.15–3.06, p=0.011) emerged as predictors of poor QOLID scores. The tool can be made a subtle part of chronic case management of diabetes to ensure patient's participation in the treatment of the disease and to create a database that can redefine diabetic care in India to suit the diverse regional settings in the country.

Self-care activities, glycaemic control and health-related quality of life of patients with type 2 diabetes in a tertiary hospital in Nigeria

BACKGROUND AND AIMS

Diabetes is one of the global health emergencies of the 21st century. This study sought to assess self-care behaviours, glycaemic control and health-related quality of life (HRQoL) of type 2 diabetes patients at a Nigerian hospital, determine factors associated with HRQoL, and assess the inter-relationship among these outcomes.

METHODS

The Summary of Diabetes Self-Care Activities (SDSCA) measure was used to assess self-care behaviours; HRQoL was assessed with the Appraisal of Diabetes Scale (ADS) and SF-12v2 Health Survey. Glycaemic control was assessed with fasting blood sugar (FBS). The questionnaires were distributed to 250 eligible patients attending Endocrinology clinic at the University of Uyo Teaching Hospital, Akwa Ibom State, Nigeria.

RESULTS

Mean scores (±SD) of self-care behaviours were 4.0 ± 1.3, 3.9 ± 1.0, 2.4 ± 1.2, 1.0 ± 1.1, and 2.5 ± 2.1 for general diet, specific diet, exercise, blood glucose monitoring, and foot care respectively. Mean FBS was 7.1 ± 2.1 mmol/L. Mean ADS score was 18.1 ± 4.2. The physical and mental component summary scores were 47.84 ± 8.21 and 45.66 ± 8.74 respectively. HRQoL was significantly associated with patient socio-demographic (except gender) and clinical variables (p < 0.05). Self-care activities, FBS and HRQoL were significantly inter-correlated (r_s -0.31 to 0.68; p < 0.01, p < 0.001).

CONCLUSIONS

Patients were more adherent to diet recommendations than to other aspects of self-care. Though most patients had adequate glucose control, the presence of diabetes had a negative impact on the mental component of health. HRQoL was affected by most of the patient-related variables. Interventions to improve adherence to self-care are recommended to achieve good glycaemic control and improve HRQoL.

Diabetic patient assessment of chronic illness care using PACIC

Background

The Patient Assessment of Chronic Illness Care plus is used in order to assess whether provided care is congruent with the Chronic Care Model, according to patients. The purpose of this study was to correlate PACIC+ and the revised 5As “ask, advise, agree, assist and arrange” scoring of a sample of DM patients, with their QoL, depressive symptomatology, demographic and disease characteristics, self-management behaviours of healthy eating and physical activity.

Methods

This is a cross-sectional study where data were collected between January and April 2018 by using three questionnaires (PACIC+, SF-36, CES-D) from a sample of 90 DM patients treated at a Public General Hospital of Central Greece. Anonymous self-completed questionnaires were used to collect the data. Data was processed in the Statistical Package for the Social Sciences (SPSS).

Results

The mean age of the participants with DM was 52.8 years (SD = 21.2 years), with cardiovascular disease and arterial hypertension scoring as the most frequently reporting chronic comorbidities. The healthcare received by DM patients has been correlated with their QoL. More specifically SF – 36 and PACIC+ scale scores showed a positive and low correlation in several subscales. The total score of PACIC+ scale as well as the Patient activation score were increased in higher scores of vitality (p = 0.034 & p = 0.028 respectively), hence both scores correlate significantly with latter. In addition, Delivery System / Practice Design score was increased in higher scores of mental health (p = 0.01) and MCS (p = 0.03).

Conclusions

The shift from hospital care focusing on the disease to a more patient-oriented approach puts forward a dynamic holistic approach to chronic diseases and the reduction of their impact. Finding evidence-based and effective strategies to promote health, prevent and manage chronic diseases such as diabetes mellitus is deemed to be crucial and necessary. PACIC+, which is a tool of a patient-level assessment of CCM implementation, can be used by countries which intend to apply changes in the way their health systems provide chronic care and specifically wish to improve the quality of chronic disease care and the QoL of their patients.

Assessing the quality of life among patients with diabetes in Austria and the correlation between glycemic control and the quality of life

BACKGROUND

Quality of life is becoming an important health outcome and among the main goals of every healthcare intervention. This study aims to assess the reliability of the German version of the World Health Organization Quality of Life-BREF instrument (WHOQOL-BREF) among Austrian patients with diabetes and examine the correlation to glycated hemoglobin (HbA1c).

METHODS

This was a cross-section study that involved 223 patients with diabetes who attended the diabetes center at Melk Hospital in Austria. The German version of the WHOQOL-BREF questionnaire was used to assess their quality of life from 2018 to 2019. The response to each question was scored from 1 to 5 (ranged from strongly disagree to strongly agree) on the Likert scale. The reliability of the WHOQOL-BREF instrument was assessed using the Cronbach's α, and the Spearman correlation coefficient was used to examine the correlation between the quality of life and the HbA1c.

RESULTS

There were 208 valid WHOQOL-BREF questionnaires with a response rate of 93.7%. The overall observed Cronbach's α for WHOQOL-BREF was 0.86. The mean±standard deviation (SD) for the physical domain, psychological domain, social domain, and environmental domain were 61.9±19.1, 71.5±17.8, 71.0±19.6, and 81.3±11.1, respectively. There was a moderate but statistically significant negative correlation between HbA1c and the physical health domain (rs=-0.31, p<0001). There was also a weak correlation between the HbA1c and other domains: psychological (rs=-0.23, p<001), social relationships (rs=-0.15, p<005) and environmental (rs=-0.23, p<001).

CONCLUSION

This study showed that the German form of the WHOQOL-BREF is a valid instrument to evaluate the quality of life among Austrian patients with diabetes. There was a moderate to weak negative association between WHOQOL-BREF and HbA1c.

Health-related quality of life and glycaemic control among adults with type 1 and type 2 diabetes - a nationwide cross-sectional study

Background

Health-related quality of life and glycaemic control are some of the central outcomes in clinical diabetes care and research. The purpose of this study was to describe the health-related quality of life and assess its association with glycaemic control in adults with type 1 and type 2 diabetes in a nationwide setting.

Methods

In this cross-sectional survey, people with type 1 (n = 2479) and type 2 diabetes (n = 2469) were selected at random without replacement from the Swedish National Diabetes Register. Eligibility criteria were being aged 18–80 years with at least one registered test of glycated haemoglobin (HbA_1c) the last 12 months. The generic 36-item Short Form version 2 (SF-36v2) was answered by 1373 (55.4%) people with type 1 diabetes and 1353 (54.8%) with type 2 diabetes.

Results

Correlation analyses showed weak correlations between scores on the SF-36v2 and glycaemic control for both diabetes types. After the participants were divided into three groups based on their levels of HbA_1c, multivariate regression analyses adjusted for demographics, other risk factors and diabetes complications showed that among participants with type 1 diabetes, the high-risk group (≥70 mmol/mol/8.6%) had statistically significantly lower means in five out of eight domains of the SF-36v2 and the mental component summary measure, as compared with the well-controlled group (< 52 mmol/mol/6.9%). Among the participants with type 2 diabetes, the high-risk group had the lowest statistically significantly means in seven domains and both summary measures.

Conclusions

Among people with type 1 and type 2 diabetes, adults with high-risk HbA_1c levels have lower levels of health-related quality of life in most but not all domains of the SF-36v2. This finding was not explained by demographics, other risk factors, or diabetes complications. The weak individual-level correlations between HRQOL scores and levels of glycaemic control argues for the need to not focus exclusively on either HbA_1c levels or HRQOL scores but rather on both because both are important parts of a complex, life-long, challenging condition.

Electronic supplementary material

The online version of this article (10.1186/s12955-019-1212-z) contains supplementary material, which is available to authorized users.

Evaluating the Direct and Indirect Effects of SF-36 Domains Score on Two Main Factors in Diabetic Patients with Path Analysis: Health-Related Quality of Life Study

Background and aims: Diabetes mellitus (DM) patients have a lower quality of life. This study aimed to examine the direct and indirect effect of eight domains score of the SF-36 questionnaire on two main factors, i.e., overall physical health (GH_M) and overall mental health (MH_M), in DM patients. To the best of our knowledge, this issue has been rarely studied so far.

Material and method: A total of 1037 DM patients filled out the Persian version of the SF-36 questionnaire. The path analysis was used in this study.

Results: In this research, only social functioning (SF) domain has significantly lower the men compared to women (P=0.06). Physical functioning (PF), bodily pain (BP), general health (GH) and vitality (VT) have a negative significant direct effect on the GH_M factor. GH domain also has a positive indirect and total effect on MH_M factor, and other domains have no significant total effect on MH_M factor.

Conclusion: It is better that physicians, focus on regulating physical activity and reducing body pain in diabetes patients, which have the most direct impact on HRQoL, to achieve a more effective outcome in improving quality of life in this patient.

Exploring the Relationship Between Lifestyle Behaviors and Health-Related Quality of Life Among Older Adults With Diabetes

Purpose

The purpose of the study was to examine the association between 3 lifestyle behaviors (smoking, physical activity, and fruit and vegetable consumption) and health-related quality of life (HRQOL) among older adults diagnosed with diabetes.

Methods

A sample of the US population 65 years and older who were diagnosed with diabetes from the 2015 Behavioral Risk factor Surveillance System (N = 11 503) was analyzed. The 4 HRQOL measures were self-rated health, physically unhealthy days, mentally unhealthy days, and impaired activity days in the past month. Multiple logistic regression analysis was conducted to predict HRQOL.

Results

The multiple logistic regression results showed that smoking and lack of physical activity were significant predictors for higher odds of fair or poor self-rated health, more physically unhealthy days, more mentally unhealthy days, and more impaired activity days during past 30 days. No significant relationship was found between fruit and vegetable consumption and any HRQOL measure.

Conclusions

Findings imply that diabetes education could continue and enhance efforts in smoking cessation and increase physical activity to promote the HRQOL among older adults diagnosed with diabetes. In addition, the measure of fruit and vegetable consumption should be further studied to reflect the needs of older adults with diabetes.

Patient-reported barriers and outcomes associated with poor glycaemic and blood pressure control in co-morbid diabetes and chronic kidney disease

AIMS

In patients with comorbid diabetes and chronic kidney disease, the extent to which patient-reported barriers to health-care and patient reported outcomes influence the quality of health care is not well established. This study explored the association between patient-reported barriers to health-care, patient activation, quality of life and diabetes self-care, with attainment of glycaemic and blood pressure (BP) targets.

METHODS

This cross-sectional study recruited adults with diabetes and CKD (eGFR 20 to <60 ml/min/1.73m²) across four hospitals. We combined clinical data with results from a questionnaire comprising measures of patient-identified barriers to care, the Patient Activation Measure (PAM), 12-Item Short Form Survey (SF-12), and the Summary of Diabetes Self-Care Activity (SDSCA).

RESULTS

199 patients, mean age 68.7 (SD 9.6), 70.4% male and 90.0% with type 2 diabetes were studied. Poor glycaemic control was associated with increased odds of patient reported "poor family support" (OR 4.90; 95% CI 1.80 to 13.32, p < 0.002). Poor BP control was associated with increased odds of patient reported, "not having a good primary care physician" (OR 6.01; 2.42 to 14.95, p < 0.001). The number of barriers was not associated with increased odds of poor control (all p > 0.05).

CONCLUSIONS

Specific patient-reported barriers, lack of patient perceived family and primary care physician support, are associated with increased odds of poor glycaemic and blood pressure control respectively. Interventions addressing these barriers may improve treatment target attainment.

The Impact of Depressive Symptoms on the Quality of Life of Patients with Type 2 Diabetes in Jazan Region, KSA

BACKGROUND

The purpose of this study is to determine the impact of depressive symptoms on the quality of life of type 2 diabetic patients (T2DM).

METHODS

A cross-sectional study of 332 T2DM patients aged ≥18 years living in Jazan region of Saudi Arabia was conducted. Validated questionnaire was used for demographic and disease characteristics. Depressive symptoms of the participants were assessed using the Patient Health Questionnaire (PHQ-9). The Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) was utilized to assess the degree of life enjoyment and satisfaction.

RESULTS

Depressive symptoms were observed in 34.7% (112) of the total participants. The overall sense of wellbeing (mean 3.23, P. value 0.000), physical (mean 3.37, P. value 0.003), psychosocial (mean 2.99 P. value 0.000) and social domains (mean 3.53, P. value 0.000) of quality of life were significantly reduced in T2DM patients with depressive symptoms.

CONCLUSION

The impact of depressive symptoms on quality of life of T2DM patients was more significant than the impact of diabetes alone. Symptoms of depression reduce the individual coping and hence reduce functioning. This study emphasizes the vital importance of an integrated holistic approach that addresses both the practical and emotional issues in diabetes care.

Related factors of quality of life of type 2 diabetes patients: a systematic review and meta-analysis

BACKGROUND

Diabetes is a chronic disease, and it could affect both health and quality of life (QOL). A lot of studies have reported some predictors of QOL of type 2 diabetes patients. While their results were not completely consistent. So the aim of our study was finding out the related factors (including characteristics related to the disease, life styles and mental health factors) of QOL of type 2 diabetes patients.

METHODS

We searched Cochrane library, EmBase, PubMed and CNKI databases for published studies that evaluated the related factors of QOL of type 2 diabetes patients by using a proper statistic method and had effect sizes (OR or β) and 95% confidence intervals from January 1st 2000 to May 31st 2016. Any study types were acceptable, and we excluded the reviews, letters, editorials and pooled analyses. The data were analyzed using STATA software (Version 12.0; Stata Corporation). Effect sizes and 95% confidence intervals were calculated to evaluate the relationship between these factors and QOL.

RESULTS

Eighteen studies were included into our systematic review and meta-analysis, totaling 57,109 type 2 diabetes patients. Do more physical exercises (The pooled ORs ranged from 0.635 to 0.825 for different scales, less than 1.00), glucose check more frequently [pooled OR (95%CI): 0.175 (0.041, 0.756)] were associated with a better QOL. Presence of complications (The pooled ORs ranged from 1.462 to 3.038 for different scales, more than 1.00), presence of hypertension [pooled OR (95%CI): 1.389 (1.173, 1644)], longer duration of diabetes [pooled OR (95%CI): 1.865 (1.088, 3.197)], diet with more red meat [pooled OR (95%CI): 2.085 (1.063, 4.089)] and depression (The pooled ORs ranged from 3.003 to 11.473 for different scales, higher than 1.00) were associated with a worse QOL.

CONCLUSION

The results of this study show that physical exercise, glucose check frequently, complications, hypertension, duration of diabetes, diet with more red meat, and depression were associated with the QOL of type 2 diabetes patients.

Self-Rated Health and Glycemic Control in Type 2 Diabetes: Race by Gender Differences

BACKGROUND

Although some studies have shown a link between self-rated health (SRH) and glycemic control in type 2 diabetes (DM), other studies have failed to support this association. The purpose of this study was to determine whether these equivocal findings can be explained by specific interactions between gender, race, and SRH, as suggested by the intersectionality literature.

METHODS

This cross-sectional study included 287 patients with DM (85 Black men, 78 Black women, 64 White men, and 60 White women). After adjusting for demographic and medical factors, we regressed HbA1c on SRH with and without interactions between gender, race, and SRH. We conducted additional subgroup analyses to further characterize gender by race group differences.

RESULTS

Although there was no main effect of SRH upon HbA1c (b = .16, 95% CI: .08-.39), we found a significant interaction between gender and SRH on HbA1c (b = -.50, 95% CI: -.97 to -.03). In race by gender-stratified models, SRH (b = .53, 95% CI: .00-1.07) was associated with HbA1c in Black men. SRH was not associated with HbA1c in White men, White women, or Black women.

CONCLUSION

Combined race and gender differences may exist in the link between SRH and glycemic control in DM. Specifically, Black men with DM may be more attuned to the relationship between their overall health and their glycemic control.

The effect of structured personal care on diabetes symptoms and self-rated health over 14 years after diabetes diagnosis

AIMS

To explore the effect of structured personal care on diabetes symptoms and self-rated health over 14 years after diabetes diagnosis while patients are gradually diagnosed with other chronic conditions (multimorbidity).

METHODS

Post hoc analysis of the Danish randomized controlled trial Diabetes Care in General Practice including 1381 patients newly diagnosed with type 2 diabetes. The effect of structured personal care compared with routine care on diabetes symptoms and self-rated health was analysed 6 and 14 years after diagnosis with a generalized multilevel Rasch model.

RESULTS

Structured personal care reduced the overall likelihood of reporting diabetes symptoms at the end of the intervention (OR 0.79; 95% CI: 0.64-0.97), but this effect was not explained by glycaemic control or multimorbidity. There was no effect of the intervention on diabetes symptoms after 14 years or on self-rated health after 6 years or 14 years.

CONCLUSIONS

Structured personal care had a beneficial effect on diabetes symptoms 6 years after diagnosis, but not on self-rated health at either follow up point. To optimally manage patients over time it is important to supplement clinical information by information provided by the patients.

Strategies for implementing effective mealtime insulin therapy in type 2 diabetes

BACKGROUND

Type 2 diabetes mellitus (T2D) is a growing global epidemic. Due to the progressive nature of the disease, many people with T2D require insulin at some point, most commonly a long-acting (basal) insulin to assist with 24-h control of glucose levels.

OBJECTIVE

This opinion paper provides an overview of considerations for primary care providers (PCPs) in intensifying the treatment regimen when basal insulin therapy is inadequate.

RESULTS

Control of mealtime hyperglycemia, in addition to fasting hyperglycemia, has been shown to be crucial in reaching A1c goals of <7.0%. However, initiating and optimizing mealtime insulin therapy can be challenging for both people with T2D and PCPs, due to a perceived lack of efficacy and burden of insulin treatment, causing "psychological insulin resistance" in people with T2D and clinical inertia among PCPs. Successful implementation of mealtime insulin therapy requires not only choosing appropriate treatment strategies, but also addressing patient-related behavioral and emotional barriers. Simplified treatment algorithms, combined with the use of advanced technology (devices such as insulin pens, pumps, and patches), and collaborative decision-making can help decrease barriers to effective mealtime insulin therapy.

CONCLUSIONS

It is possible to implement an effective basal-bolus insulin regimen in people with T2D in a way that improves glucose control while minimizing negative effects on quality-of-life, treatment satisfaction, and psychological well-being.

Restless Legs Syndrome in Iranian People With Type 2 Diabetes Mellitus: The Role in Quality of Life and Quality of Sleep

STUDY OBJECTIVES

To investigate the prevalence of restless legs syndrome (RLS) in patients with type 2 diabetes mellitus (T2DM) and explore its role in quality of life (QoL) and quality of sleep of these patients.

METHODS

This is a cross-sectional study performed on 210 Iranian people with T2DM. The diagnosis of RLS was established based on the essential diagnostic criteria for RLS recommended by the National Institutes of Health. Sleep quality and QoL were assessed in all participants using Pittsburgh Sleep Quality Index and EuroQol five-dimension questionnaire, respectively. Regression models were used for final analysis of data.

RESULTS

The prevalence of RLS was 19.5%; of whom 38.1% had poor quality of sleep. Male sex, being single, body mass index (BMI), and RLS were associated with poor quality of sleep. Patients with RLS were almost three times as likely as the patients without RLS to have poor sleep quality. Moreover, being female, BMI value, level of glycosylated hemoglobine (HbA1C), and RLS were associated with lower QoL. RLS lowers the score of QoL even more than BMI and HbA1C. In addition, the QoL and sleep quality of this population of patients with diabetes have not been affected by the severity of RLS as well as presence or absence of neuropathy.

CONCLUSIONS

RLS has an independent and significant role in sleep quality and QoL in the patients with diabetes. Neuropathy with RLS does not confer any additive burden on QoL and sleep quality of this population of patients with diabetes.

Glycemic control and health-related quality of life among older home-dwelling primary care patients with diabetes

AIMS

To evaluate the health-related quality of life (HRQoL) and functional capacity in relation to glycemic control among older home-dwelling primary care patients.

METHODS

Electronic patient records were used to identify 527 people over 65 years with diabetes. Of these, 259 randomly selected subjects were invited to a health examination and 172 of them attended and provided complete data. The participants were divided into three groups based on the HbA1c: good (HbA1c<48mmol/mol (N=95)), intermediate (HbA1c 48-57mmol/mol (N=48)) and poor (HbA1c>57mmol/mol (N=29)) glycemic control. HRQoL was measured with the EuroQol EQ-5D questionnaire. Functional and cognitive capacity and mental well-being were assessed with the Lawton Instrumental Activities of Daily Living (IADL) scale, Mini-Mental State Examination (MMSE) and Geriatric Depression Scale (GDS-15).

RESULTS

EQ-5D scores for good, intermediate and poor glycemic control were 0.78; 0.74 and 0.70, p=0.037. Sub-items of mobility (p=0.002) and self-care were the most affected (p=0.031). Corresponding trend was found for IADL, p=0.008. A significant correlation was found between MMSE scores and HbA1c.

CONCLUSION

Older primary care home-dwelling patients with diabetes and poorer glycemic control have lower functional capacity and HRQoL, especially in regard to mobility and self-care.

Validation of the Malay version of Diabetes Quality of Life (DQOL) Questionnaire for Adult Population with Type 2 Diabetes Mellitus

OBJECTIVE

We aimed to validate the Malay version of Diabetes Quality of Life (DQOL) questionnaire for Malaysian adult population with type 2 diabetes mellitus (DM).

METHODS

This is a cross-sectional study to validate Malay version of DQOL among the adult diabetic patients. DQOL questionnaire has 46 items consist of three domains, namely Satisfaction Domain, Impact Domain and Worry Domain. Both forward and backward translations from the English version of DQOL into Malay version were performed. After the face validity of the Malay version was established, it was then pilot-tested. Finally, the validity and reliability of the final Malay version of DQOL questionnaire were evaluated.

RESULTS

There were 290 patients participated in this study with a mean (SD) age of 53.1 (10.0) years. The Cronbach's alpha coefficients of the overall items and the main domains were between 0.846 and 0.941. The Pearson's correlation coefficients for the three domains were between 0.228 and 0.451. HbA1C was found to be positively correlated with Impact Domain (P = 0.006). The Worry Domain was associated with diabetic retinopathy (P = 0.014) and nephropathy (P = 0.033).

CONCLUSION

The Malay version of diabetes quality of life (DQOL) questionnaire was found to be a valid and reliable survey instrument to be used for Malaysian adult patients with diabetes mellitus.

Type 2 diabetes and quality of life

It is true that a primary goal of diabetes early diagnosis and treatment is quality of life (QoL). The term QoL is still confusing but it is agreed that it composes of four components: The physical component, mental, cogitative component, psychological and social component. Many articles have been written addressing those four components. During the last five years 15500 articles and reviews have been written addressing diabetes and coronary arterial disease, 16100 addressing diabetes and renal function, 28900 addressing diabetes and retinopathy, 16800 addressing diabetic foot ulcers and other 26300 addressing diabetic neuropathy. Moreover 17200 articles are dealing with diabetic sexual dysfunction, 24500 with the correlation of diabetes and depression 17500 about diabetes and dementia, only 1 about diabetes and family functioning and 1950000 about diabetes and QoL, indicating the worldwide interest. In order to confront this metabolic anomaly and its consequences, researchers developed numerous generic and disease specific psychometric tools. With the aid of those psychometric tools the scientific community has started to realize the gruesome effect of diabetes on patients’ lives. Diabetic’s QoL becomes worse when complications start to develop or comorbidities coexist. Dominant amongst complications, in health-related quality of life (HRQoL) lowering, but not related to risk factors (genetic, the weight of birth, or others) is coronary arterial disease followed by renal failure, blindness, and the combination of micro- and macro-vascular complications and in some studies by sexual dysfunction. Moreover many are the comorbidities which deteriorate further the effect of diabetes in a patient life. Among them obesity, hypertension, dyslipidemia, depression, arthritis are the most common. Most intriguing field for research is the interaction of diabetes and depression and in some cases the progression to dementia. Many aspects and combinations of actions are under researchers’ microscope regarding the improvement of HRQoL scores. Until now, the studies performed, have demonstrated little to moderate benefit. More of them are needed to draw safe conclusions on the topic of the best combination of actions to optimize the HRQoL scores.

Preoperative Glycemic Control on Total Joint Arthroplasty Patient-Perceived Outcomes and Hospital Costs

BACKGROUND

The purpose of this study was to determine the influence of preoperative glycemic control in diabetic patients undergoing a primary total hip or knee arthroplasty. We wanted to study patient-perceived outcomes in the medium term, the length of stay, hospital costs, and rate of short-term postoperative complications.

METHODS

One hundred twenty consecutive primary total joint arthroplasties (TJAs) performed in type 2 diabetic patients were stratified into 2 groups representing optimal and suboptimal preoperative glycemic control, based on serum levels of glycated hemoglobin (HbA_1c), and those groups compared.

RESULTS

The mean follow-up time was 5.9 years (range, 2.1-10.7 years). Both groups demonstrated improvement in all patient-perceived outcome measures after TJA, with no significant difference detected in any change of a measure between the groups. No significant difference was detected in the length of stay, hospital costs, or rate of short-term postoperative complications between the groups.

CONCLUSION

Preoperative glycemic control in type 2 diabetic patients undergoing TJA did not affect patient-perceived outcomes in the medium term. Optimal vs suboptimal glycemic control in these patients also had no effect on the length of stay, hospital costs, or rate of short-term postoperative complications.

Testing whether patients with diabetes and healthy people perceive the meaning of the items in the Persian version of the SF-36 questionnaire similarly: a differential item functioning analysis

PURPOSE

It has been rarely studied whether observed disparity in health-related quality-of-life (HRQoL) scores between patients with diabetes and healthy individuals is due to differential item functioning (DIF) or a true difference in the underlying construct. This study aimed to examine DIF in the SF-36 questionnaire and its effect on comparing HRQoL scores between patients with diabetes and healthy people.

METHODS

The sample consisted of 230 patients with type 2 diabetes and 642 healthy individuals who filled out the Persian version of the SF-36 questionnaire. To detect DIF across patients with diabetes and healthy individuals, multiple-group multiple-indicator multiple-causes model was used. In addition, item calibration strategy was used to determine whether the effect of item-level DIF was transferred to the scale level.

RESULTS

Nine out of thirty-six (25 %) items were detected as DIF, of which one item (11 %) was flagged as uniform and eight items (89 %) as non-uniform DIF. Most of the DIF items were detected in the mental health component which includes vitality, perceived mental health and social functioning subscales rather than in physical health component. Moreover, nonsignificant latent mean differences for general health perception and social functioning subscales became significant after DIF calibration.

CONCLUSION

The findings of the present study show that patients with diabetes and healthy individuals perceived some items in the SF-36 questionnaire differently. More importantly, in some subscales, the effect of item-level DIF was transferred to the scale level. Consequently, considerable caution should be taken in comparing HRQoL scores between patients with diabetes and healthy individuals.

Review: Physical disability and the cumulative impact of diabetes in older adults

he already high and increasing prevalence of diabetes among older adults will make ageing-related outcomes like physical disability an increasingly important complication of diabetes. Disability is a key indicator of both overall morbidity and the success of public health efforts to compress the period of morbidity in old age for the overall population. Many cross-sectional and longitudinal studies have now associated diabetes with increased risk of disabilities in mobility and in instrumental and basic activities of living. The explanation for higher disability among persons with diabetes appears to be multifactorial with neuropathy, peripheral arterial disease, coronary heart disease, depression, obesity, visual impairment, and physical inactivity the most prominent factors. These factors are common in persons with diabetes and exert strong effects on risk of disability. Several promising interventions exist, ranging from exercise programmes and identification and treatment of depression, to long-term prevention of disability through better management of glycaemia and risk factors for cardiovascular disease. Preliminary findings from the U.S. Diabetes Surveillance System suggest that, like the general population, prevalence of physical disability may also have declined among persons with diabetes during the last decade. Ultimately, preventing disability will likely depend on a combination of secondary and tertiary prevention along with, ideally, preventing diabetes in the first place.

Telemonitoring of Type 2 Diabetes Mellitus in Italy

BACKGROUND

Type 2 diabetes mellitus (DM) affects 382 million people worldwide.

INTRODUCTION

This study aimed at assessing whether telemonitoring (TM) of DM patients improves health-related quality of life (HRQoL).

MATERIALS AND METHODS

As part of the RENEWING HEALTH project, 299 DM patients with HbA1c >7.0% were enrolled in a randomized controlled trial, with 208 patients in the TM group and 91 patients in the usual-care group. TM electronically transmitted glucose measurements to physicians during a 12-month follow-up. The SF-36v2 questionnaire was used to assess HRQoL.

RESULTS

In a total of 243 patients analyzed, the study did not identify any clinically important improvement in HRQoL, our primary endpoint. There was no statistically significant difference in HbA1c between the two groups; however, outpatient visits and planned hospitalizations were significantly reduced in the TM group (p < 0.0001 and p = 0.02).

DISCUSSION

The results regarding HRQoL might be, at least in part, an artifact stemming from the criteria used to select patients. TM reduced ambulatory visits and planned hospital admissions, an important result that plausibly reflects the fact that clinicians can strictly monitor their patients' health status without face-to-face contacts.

CONCLUSIONS

Enhancement of HRQoL should represent the most critical goal of DM healthcare delivery. Effects of TM on HRQoL of diabetic patients should be studied further.

Reliability and validity of the Chronic Liver Disease Questionnaire (CLDQ) in adults with non-alcoholic steatohepatitis (NASH)

INTRODUCTION

Significant impairments in health-related quality of life (HRQL) in patients with non-alcoholic fatty liver disease have been previously described. The disease-specific HRQL among patients with non-alcoholic steatohepatitis (NASH), however, remains unknown.

AIM

To determine the degree of construct validity of the Chronic Liver Disease Questionnaire (CLDQ) in adults with NASH.

METHODS

Participants referred for the evaluation of histology-proven NASH at Mayo Clinic, Rochester, between 1996 and 2000, were evaluated. HRQL assessment by the Short-Form 36 (SF-36) Health Survey and CLD) was performed. The primary outcome was to determine the level of correlation between overall and subscale scores for the CLDQ and SF-36 instruments.

RESULTS

Among 79 participants (70%) with NASH completing both questionnaires (mean age, 51.2 years with 64% female gender), excellent reliability was noted for the CLDQ instrument. Significant reductions in all SF-36 domains (p<0.05 for all) including PCS and MCS scores (p<0.02 for both) among participants with NASH compared with normative data from an age-matched and sex-matched US general population sample was observed. Highly significant correlations were observed between overall CLDQ score with SF-36 PCS (r=0.82, p<0.0001) and SF-36 MCS (r=0.67, p<0.0001) scores. Similar degrees of correlation were observed between relevant subscales of the CLDQ and SF-36 as well.

DISCUSSION

The CLDQ has excellent reliability and validity of construct for HRQL assessment in adults with NASH when compared with the SF-36. Future investigations among participants with NASH require assessing the responsiveness of the CLDQ to medical therapies and disease progression.

Diabetes-dependent quality of life (ADDQOL) and affecting factors in patients with diabetes mellitus type 2 in Greece

Background

Diabetes mellitus type 2 (T2D) is a chronic metabolic disease with a great impact on health status and quality of life (QoL) in terms of physical, social, and psychological well-being. The aim of the present study was to measure diabetes-dependent QoL and affecting factors in patients with T2D.

Methods

Study population was consisted by 258 subjects with T2D attending diabetic outpatient clinics of General Hospitals of Piraeus “Tzaneio” and Nikaia “Ag.Panteleimon” during September–December 2014. The Audit of Diabetes-Dependent Quality of Life questionnaire was carried out in all study participants.

Results

Diabetes mellitus type 2 had a negative impact to QoL in 37.3 % of the study participants while 32.9 % believed that their life would have been better without the presence of T2D. Diabetes had negative impact on working life (−1.3 ± 0.6), health status (−1.3 ± 0.2), family (−1.3 ± 0.6) and sexual life (−1.3 ± 0.3), future perspectives (−1.3 ± 0.4) and dietary habits (−1.7 ± 0.2). The results of logistic regression analysis showed that QoL was related with age [odds ratio (OR) 0.94, 95 % confidence intervals (CIs) 0.91–1.98, P = 0.008] and marital status (OR 0.43, 95 %CIs 0.21–0.90, P = 0.03).

Conclusions

The results of the present study showed that T2D per se has a negative impact to patient’s QoL most of all affecting working life, health status, family and sexual life, future perspectives and dietary habits. Age and marital status were the only determinants of QoL.

Diabetes treatment-related quality of life is associated with levels of self-care activities in insulin injection among Japanese patients with type 2 diabetes: Diabetes Distress and Care Registry at Tenri (DDCRT 8)

AIMS

We investigated the association between diabetes treatment-related quality of life (QOL) and levels of self-care activities in insulin injection among Japanese patients with type 2 diabetes.

METHODS

Data from 1394 patients with type 2 diabetes on insulin therapy were obtained from a diabetes registry in Japan. We used the Diabetes Therapy-Related QOL (DTR-QOL) questionnaire and relative risk regression analysis to assess the independent association of high levels of self-care activities in insulin injection and DTR-QOL scores while adjusting for possible confounders.

RESULTS

The mean age, BMI and HbA1c level were 65.8 years, 24.8 kg/m(2) and 62 mmol/mol (7.8 %), respectively. The frequency of insulin injection omission was associated with DTR-QOL scores. In the multivariable-adjusted model, the relative risks for high levels of self-care activities in insulin injection was 1.15 (95 % confidence interval, 1.05-1.26) in the highest quintile compared with those in the lowest quintile of DTR-QOL scores. Subgroup analysis confirmed this association in patients <65 years.

CONCLUSIONS

DTR-QOL was associated with self-reported levels of self-care activities in insulin injection, particularly among Japanese patients <65 years with type 2 diabetes. DTR-QOL might be a useful tool to identify patients who consequently omit insulin. For patients with low DTR-QOL score, healthcare providers should discuss their treatment-related problems to prevent insulin injection omission.

Change in self-rated general health is associated with perceived illness burden: a 1-year follow up of patients newly diagnosed with type 2 diabetes

Background

Diabetic patients’ lifestyle adaptations to improve glycaemic control are not always followed by improvements in self-rated general health (SRH). The perceived impact of diabetes on patients’ daily lives may influence changes in their SRH. This paper examines the association of illness severity, treatment, behavioural, and coping-related factors with changes in SRH from diagnosis of type 2 diabetes until one year later, in a population-based sample of 599 patients aged 40 years or over who were treated in general practice.

Methods

Change in SRH was estimated by a cumulative probit model with the inclusion of covariates related to SRH (e.g. illness severity at diagnosis, behaviour, treatment, and the perceived impact of diabetes on patients’ daily lives one year later).

Results

At diagnosis, 11.6% of patients reported very good, 35.1% good, 44.6% fair and 8.5% poor SRH. Physical inactivity, many diabetes-related symptoms, and cardiovascular disease were related to lower SRH ratings. On average SRH improved by 0.46 (95% CI: 0.37; 0.55) during the first year after diagnosis without inclusion of covariates. Mental and practical illness burden was the only factor associated with change in SRH, independent of patients’ diabetes severity and medical treatment (p = 0.03, multivariate analysis). Compared to otherwise similar patients without illness burden, increase in SRH was marginally smaller among patients who expressed minor illness burden, but much smaller among patients with more pronounced illness burden.

Conclusions

Much as one would expect, many patients increased their SRH during the first year after diabetes diagnosis. This increase in SRH was not associated with indicators of illness severity or factors reflecting socio-demographic circumstances, but patients experiencing illness burden had a smaller increase than those who reported no illness burden. We suggest that during the diabetes consultation, general practitioners explore further how patients manage their illness burden. We further suggest that diabetes guidelines extend their current focus on clinical and social aspects of diabetes to include questions on patient’s perceived illness burden and SRH.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-1790-6) contains supplementary material, which is available to authorized users.

Quality of life in type 2 diabetes mellitus patients requiring insulin treatment in Buenos Aires, Argentina: a cross-sectional study

BACKGROUND

Decision-makers have begun to recognize Health-Related Quality of Life (HRQoL) as an important and measurable outcome of healthcare interventions; and HRQoL data is increasingly being used by policy-makers to prioritize health resources. Our objective was to measure HRQoL in a group of Type 2 Diabetes Mellitus (T2DM) patients receiving insulin treatment in Buenos Aires, Argentina.

METHODS

We conducted a cross-sectional study of patients with T2DM over 21 years of age, treated with either Neutral Protamine Hagedorn (NPH) insulin or Insulin Glargine (IG), who had not changed their baseline schedule in the last 6 months. The recruitment was during 2006-7 in nine private diabetes specialists' offices in Buenos Aires, Argentina. A standardized diabetes-specific HRQoL questionnaire, the Audit of Diabetes Dependent Quality of Life (ADDQoL), was used.

RESULTS

A total of 183 patients were included (93 receiving NPH and 90 receiving IG). The mean QoL score was: 0.98 (SD: 0.89) and the diabetes specific QoL was: -1.49 (SD: 0.90). T2DM had a negative impact on HRQoL with a mean Average Weighted Impact (AWI) score on QoL of -1.77 (SD: 1.58). The greatest negative impact was observed for domains: 'worries about the future', 'freedom to eat', 'living conditions', 'sex life', and 'family life'. The mean AWI score was -1.71 (SD: 1.48) in patients treated with IG and -1.85 (SD: 1.68) in patients receiving NPH, this difference was not statistically significant.

CONCLUSION

The ADDQoL questionnaire is a tool that can be used in Argentina to measure the QoL of patients with diabetes when evaluating diabetes care programs. The scores of QoL in our selected population did not differ from those reported in high-income countries. We expect that the results of this study will increase healthcare providers' awareness of patients' perceived QoL and help to overcome the barriers that delay insulin treatment; mainly clinical inertia and patient resistance.

Glycaemic control and quality of life among ethnically diverse Malaysian diabetic patients

PURPOSE

To assess the relationship between glycaemic control and quality of life (QoL) among a sample of Malaysians with type 2 diabetes mellitus.

METHODS

This study is a cross-sectional hospital-based study involving 256 patients from three major ethnic groups in Malaysia. Data about QoL were collected with the 18-item Audit of Diabetes Dependent QoL questionnaire. Other data about putative predictors of QoL including personal characteristics and disease-related factors were also collected. Hierarchical multiple linear regression was used to determine factors associated with QoL and to control for confounding variables.

RESULTS

The mean age of participants was 56.79 years. Participants were mostly women, employed and married and had attained secondary education. More than a third of the patients had a disease duration of more than 10 years, and about two-thirds had HbA1c ≥ 6.5 %. Those with desired glycaemic control had poorer QoL than those with less than desired glycaemic control moderated by the use of insulin. Hierarchical multiple linear regression showed that desired glycaemic control (HbA1c), diabetes worry, use of insulin, more than 10 years' duration of diabetes, neuropathy and retinopathy were associated with poor QoL, whereas being satisfied with waiting time for consultation was associated with better QoL.

CONCLUSIONS

The results of this study show that diabetes was associated with negative impact on quality of life. The use of insulin to achieve desired glycaemic control was particularly associated with negative impact on QoL.

The association of type 2 diabetes patient and spouse illness representations with their well-being: a dyadic approach

BACKGROUND

The aim of this study was to examine the relation between certain illness representations and the physical and psychological well-being of persons with type 2 diabetes mellitus and their spouses.

PURPOSE

In this study, we examined the relation of type 2 diabetes patients and their spouses' representations of illness consequences and timeline (chronicity and cyclicality/predictability) to the physical and psychological well-being of both. The interaction between patient and spouse illness representations was also studied.

METHODS

A dyadic analysis approach was employed, while the Actor-Partner Interdependence Model was used to examine dyadic effects. One hundred and sixty-eight individuals nested in 84 couples participated.

RESULTS

Regarding illness representations, both actor (i.e., the effects of a person's own characteristics on own outcomes) and partner (i.e., the effects of the partner's characteristics on a person's outcomes) effects were identified but only for patients' well-being. Certain significant interactions were also found: patients' timeline-cyclical representations were weakly associated with their anxiety and depression symptoms when spouses perceived diabetes as less unpredictable. Also, spouses' perceptions of consequences were more strongly related to their anxiety when patients perceived diabetes as less burdensome.

CONCLUSIONS

Overall, the findings indicate a type of synergy between patient and spouse illness representations. They also emphasize the interdependence between diabetes patients and their partners, and the need to examine adaptation to illness within a dyadic-regulation framework as well.

Health-related quality of life of diabetic patients in tehran

BACKGROUND

Health-related quality of life (HRQoL) is an important factor for self-management behaviors of diabetic patients. These behaviors have special importance in preventing complications of diabetes.

OBJECTIVES

This study has been conducted to evaluate HRQoL of diabetic patients referred to Tehran hospitals.

PATIENTS AND METHODS

In this descriptive study patients were selected from diabetes clinics of general hospitals in Tehran. A demographic and disease characteristics questionnaire and short-form of health survey (SF-36) were used for the data collection. The data were analyzed with SPSS software.

RESULTS

140 diabetic patients with average age of 47.3 ± 12.7 years participated in this study. The range of HRQoL scores in different domains varied from 46.2 ± 13 for general health perceptions to 64.1 ± 26.6 for physical functioning. There were significant differences according to age, sex, educational level, type of diabetes, type of treatment, and different HRQoL dimensions.

CONCLUSIONS

HRQoL of diabetic patients is related to several variables. Considering of variables will be important for improving HRQoL of diabetic patients.

Patient assessment of chronic illness care, glycemic control and the utilization of community health care among the patients with type 2 diabetes in Shanghai, China

OBJECTIVES

To evaluate the relationship between Patient Assessment of Chronic Illness Care in community health centers and self-management behaviors and glycemic control and to examine the relationship between Patient Assessment of Chronic Illness Care in community health centers and the utilization of community health centers for monitoring and treating diabetes among the patients with type 2 diabetes.

METHODS

A questionnaire including self-management behaviors, glycemic control, Patient Assessment of Chronic Illness Care in community health centers and the most often utilized medical institutions for monitoring and treating diabetes (community health centers vs. hospitals) was administered to 960 patients with type 2 diabetes in Shanghai, China. The relationships between Patient Assessment of Chronic Illness Care and self-management behaviors, self-management behaviors and glycemic control, Patient Assessment of Chronic Illness Care and glycemic control, Patient Assessment of Chronic Illness Care and the most often utilized medical institutions for monitoring and treating diabetes were examined.

RESULTS

Wilcoxon rank sum tests showed that the high scores of total Patient Assessment of Chronic Illness Care and five subscales in community health centers were positively related to almost all the proper self-management behaviors and good glycemic control (p<0.05). Almost all of the proper self-management behaviors were positively related to good glycemic control (p<0.01). High summary score of the Patient Assessment of Chronic Illness Care was positively associated with the utilization of community health centers for monitoring and treating diabetes (p<0.001).

CONCLUSIONS

Patient Assessment of Chronic Illness Care (implementation of the Chronic Care Model) in community health centers was associated with patients' self-management behaviors and glycemic control, and finally was associated with the utilization of community health centers for monitoring and treating diabetes.

The associations of body mass index with physical and mental aspects of health-related quality of life in Chinese patients with type 2 diabetes mellitus: results from a cross-sectional survey

BACKGROUND

This study aimed to determine the associations of various clinical factors with generic health-related quality of life (HRQOL) scores among Hong Kong Chinese patients with type 2 diabetes mellitus (T2DM) in the outpatient primary care setting using the short-form 12 (SF-12).

METHODS

A cross-sectional survey of 488 Chinese adults with T2DM recruited from a primary care outpatient clinic was conducted from May to August 2008. Data on the standard Chinese (HK) SF-12 Health Survey and patients' socio-demographics were collected from face-to-face interviews. Glycaemic control, body mass index (BMI), chronic co-morbidities, diabetic complications and treatment modalities were determined for each patient through medical records. Associations of socio-demographic and clinical factors with physical component summary (PCS-12) and mental component summary scores (MCS-12) were evaluated using multiple linear regression.

RESULTS

The socio-demographic correlates of PCS-12 and MCS-12 were age, gender and BMI. After adjustment for socio-demographic variables, the BMI was negatively associated with PCS-12 but positively associated with MCS-12. The presence of diabetic complications was associated with lower PCS-12 (regression coefficient:-3.0 points, p < 0.05) while being on insulin treatment was associated with lower MCS-12 (regression coefficient:-5.8 points, p < 0.05). In contrast, glycaemic control, duration of T2DM and treatment with oral hypoglycaemic drugs were not significantly associated with PCS-12 or MCS-12.

CONCLUSIONS

Among T2DM subjects in the primary care setting, impairments in the physical aspect of HRQOL were evident in subjects who were obese or had diabetic complications whereas defects in the mental aspect of HRQOL were observed in patients with lower BMI or receiving insulin injections.

Correlates of health-related quality of life in French people with type 2 diabetes

AIM

Diabetes is known to impair health-related quality of life (HrQol). Our aim was to analyse a comprehensive set of potential determinants of HrQol in a large sample of patients with diabetes.

METHODS

This study is based on the ENTRED 2007 study, a representative sample of adults (18 years and older) with diabetes. Data were extracted from postal self-reported questionnaires (from patients and medical practitioners) and from reimbursements from the National health insurance data system. HrQol was assessed with the MOS SF-12 for mental (MCS) and physical (PCS) component summaries. Multivariate linear regression models were used to analyse the variables associated with HrQol.

RESULTS

SF-12 MCS and PCS were available in 2832 patients with T2DM, with a mean age 64 years (1715 males, 56%). Lower income, severe hypoglycaemic episodes, hospitalisation ≥24 h, instrumental daily living (IADL) restriction, low satisfaction for social support and an HbA1c within the 8.1-10.0% range were associated with lower MCS rating, whereas an older age and male gender were associated with higher MCS. Older age, female sex, higher BMI, lower income, insulin treatment, macrovascular complications, severe hypoglycaemic episodes, hospitalisation ≥24 h, and IADL restriction were associated with lower PCS values whereas having no need for social support was associated with higher PCS values.

DISCUSSION

HrQol associated factors are multiple but mainly linked with socio-demographic factors, diabetes complications and satisfaction for social support. A patient centred approach should be tested to prevent impairment of HrQol and thus to decrease the burden of diabetes. Assessment of social support should be included.

The association between problem areas in diabetes scale scores and glycemic control is modified by types of diabetes therapy: diabetes distress and care registry in Tenri (DDCRT 2)

AIM

To evaluate the joint association of Problem Areas in Diabetes (PAID) Scale scores and glycemic control with diabetes therapy.

METHODS

We used 3479 patients' data with type 1 and type 2. Modified Poisson regression analysis was used to estimate relative risks (RRs) for poor glycemic control (HbA1c≥7.0%) across quartiles of PAID scores.

RESULTS

Compared with the 1st quartile of PAID score, multivariable-adjusted RRs for poor glycemic control were 0.99 (95%CI, 0.87-1.11), 1.05 (95%CI, 0.93-1.18), and 1.12 (95%CI, 1.00-1.27), respectively, for 2nd to 4th quartiles, and we observed significant trend (p for trend=0.03). We observed significant interaction of PAID score and HbA1c with diabetes therapy (p=0.0469). In patients receiving diet only therapy, the RRs for poor glycemic control were 1.38 (95%CI, 0.93-2.05), 1.18 (95%CI, 0.51-5.13), and 1.81 (95%CI, 1.16-2.79), respectively for 2nd to 4th quartiles of PAID score compared with the 1st quartile (p for trend=0.025); while we did not observe significant association between PAID and poor glycemic control in patients receiving medication therapy.

CONCLUSIONS

Diabetes distress measured by PAID survey was associated with poor glycemic control, and this association was modified by diabetes therapy.

Glycaemia and correlates of patient-reported outcomes in ACCORD trial participants

AIMS

Post-hoc evaluation of relationships between first-year change in glycaemic control (HbA(1c) ) and change in patient-reported outcomes among ACCORD health-related quality of life (HRQoL) substudy participants.

METHODS

Data from 2053 glycaemia-trial subjects were analysed. We assessed physical and mental health status (36-Item Short Form Health Survey, Version-2), symptom count and severity (Diabetes Symptoms Distress Checklist) and treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire). Linear mixed models were used to test relationships between 1-year changes in HbA(1c) and patient reported outcomes sequentially adjusting for correlates (baseline characteristics, baseline patient reported outcomes, treatment assignment, frequency of clinical contact and post-randomization weight change plus new complications).

RESULTS

Poorer baseline control of HbA(1c) and cardiovascular disease risk factors predicted greater one-year improvements in treatment satisfaction. Similarly, poorer baseline patient reported outcome scores all individually predicted greater 1-year improvement in that same outcome. Accounting for baseline and post-randomization characteristics and treatment arm, 1-year change in HbA(1c) was unrelated to changes in overall physical or mental health; however, every one percentage-point (10.9 mmol/mol) reduction in HbA(1c) was associated with lower symptom count (β = 0.599; P = 0.012), lower symptom distress (β = 0.051; P = 0.001), and higher treatment satisfaction (β = -2.514; P < 0.001).

CONCLUSIONS

Independent of all relevant covariates, better glycaemic control over 1 year was associated with reduced patient-reported diabetes symptoms and symptom distress, and increased treatment satisfaction, but not overall physical and mental health. Further investigation is required to understand the specific psychosocial mechanisms that affect how patients value health and treatments.

The patient-perceived difficulty in diabetes treatment (PDDT) scale identifies barriers to care

OBJECTIVE

The objective of this study is to describe the design and validation of a newly developed brief, treatment-focused scale for use with type 1 and type 2-diabetes, exploring patient-perceived difficulties that are associated with treatment.

METHODS

The content of the construct was derived from consultation with experts, from existing instruments and the literature, as well as from diabetic patients. The original draft was comprised of 11 attributes. Based on an interim analysis, an additional 12th attribute was added. The final scale was tested on 988 diabetic patients from 25 practices in Israel. Respondents also completed a diabetes-specific quality of life (QoL) questionnaire and indicated their current perceived overall health status.

RESULTS

The patient-perceived difficulty of diabetes treatment (PDDT) scale contains 12 items reflecting diabetes-treatment characteristics: adherence to self-monitoring of glucose schedule, frequency of self-monitoring of glucose, adherence to medication administration schedule, frequency of medication administration, multiple number of medications, synchronization between meals and medications, dependence on the medications, pain associated with treatment, diet restrictions, self-care, multiple healthcare providers, and costs of treatment. Response rate to all attributes was very high. Construct validity was shown by significant correlations between PDDT attributes and diabetes-specific quality of life (r = 0.31-0.46) and self-report adherence to recommended treatment (r = 0.14-0.28), as well as between overall perceived difficulty and diabetes-specific quality of life (r = 0.60). Furthermore, the PDDT items showed discriminant capabilities with respect to known groups of patients.

CONCLUSIONS

The PDDT scale is a simple and valid instrument that may assist in identifying potential barriers in adherence to recommended treatments and to new treatment options.

Temporal predictors of health-related quality of life in elderly people with diabetes: results of a German cohort study

Background

The aim of the study was to determine predictors that influence health-related quality of life (HRQOL) in a large cohort of elderly diabetes patients from primary care over a follow-up period of five years.

Methods and Results

At the baseline measurement of the ESTHER cohort study (2000–2002), 1375 out of 9953 participants suffered from diabetes (13.8%). 1057 of these diabetes patients responded to the second-follow up (2005–2007). HRQOL at baseline and follow-up was measured using the SF-12; mental component scores (MCS) and physical component scores (PCS) were calculated; multiple linear regression models were used to determine predictors of HRQOL at follow-up. As possible predictors for HRQOL, the following baseline variables were examined: treatment with insulin, glycated hemoglobin (HbA1c), number of diabetes related complications, number of comorbid diseases, Body-Mass-Index (BMI), depression and HRQOL. Regression analyses were adjusted for sociodemographic variables and smoking status. 1034 patients (97.8%) responded to the SF-12 both at baseline and after five years and were therefore included in the study. Regression analyses indicated that significant predictors of decreased MCS were a lower HRQOL, a higher number of diabetes related complications and a reported history of depression at baseline. Complications, BMI, smoking and HRQOL at baseline significantly predicted PCS at the five year follow-up.

Conclusions

Our findings expand evidence from previous cross-sectional data indicating that in elderly diabetes patients, depression, diabetes related complications, smoking and BMI are temporally predictive for HRQOL.

Health-related quality of life and self-related health in patients with type 2 diabetes: effects of group-based rehabilitation versus individual counselling

Background

Type 2 diabetes can seriously affect patients' health-related quality of life and their self-rated health. Most often, evaluation of diabetes interventions assess effects on glycemic control with little consideration of quality of life. The aim of the current study was to study the effectiveness of group-based rehabilitation versus individual counselling on health-related quality of life (HRQOL) and self-rated health in type 2 diabetes patients.

Methods

We randomised 143 type 2 diabetes patients to either a six-month multidisciplinary group-based rehabilitation programme including patient education, supervised exercise and a cooking-course or a six-month individual counselling programme. HRQOL was measured by Medical Outcomes Study Short Form 36-item Health Survey (SF-36) and self-rated health was measured by Diabetes Symptom Checklist - Revised (DCS-R).

Results

In both groups, the lowest estimated mean scores of the SF36 questionnaire at baseline were "vitality" and "general health". There were no significant differences in the change of any item between the two groups after the six-month intervention period. However, vitality-score increased 5.2 points (p = 0.12) within the rehabilitation group and 5.6 points (p = 0.03) points among individual counselling participants.

In both groups, the highest estimated mean scores of the DSC-R questionnaire at baseline were "Fatigue" and "Hyperglycaemia". Hyperglycaemic and hypoglycaemic distress decreased significantly after individual counselling than after group-based rehabilitation (difference -0.3 points, p = 0.04). No between-group differences occurred for any other items. However, fatigue distress decreased 0.40 points within the rehabilitation group (p = 0.01) and 0.34 points within the individual counselling group (p < 0.01). In the rehabilitation group cardiovascular distress decreased 0.25 points (p = 0.01).

Conclusions

A group-based rehabilitation programme did not improve health-related quality of life and self-rated health more than an individual counselling programme. In fact, the individual group experienced a significant relief in hyper- and hypoglycaemic distress compared with the rehabilitation group.

However, the positive findings of several items in both groups indicate that lifestyle intervention is an important part of the management of type 2 diabetes patients.

The longitudinal association between glycaemic control and health-related quality of life following insulin therapy optimisation in type 2 diabetes patients. A prospective observational study in secondary care

Purpose

To test whether improvement in glycosylated haemoglobin (HbA_1c) as a marker of glycaemic control, following intensifying insulin therapy, is associated with improvements in HRQoL.

Methods

Dutch sub-optimally controlled (HbA_1c > 7%) type 2 diabetes patients (N = 447, mean age 59 ± 11) initiated insulin glargine therapy. Data were collected at baseline, 3 and 6 months, and included HbA_1c and measures of HRQoL: diabetes symptom distress (Diabetes Symptom Checklist-revised; DSC-r), fear of hypoglycaemia (Hypoglycaemia Fear Survey; HFS-w) and emotional well-being (WHO-5 wellbeing index).

Results

HbA_1c decreased from 8.8 ± 1.4% to 8.0 ± 1.2% and 7.7 ± 1.3% at 3 and 6 months follow-up, respectively (P < 0.001), DSC-r score improved from 17.7 ± 14.7 to 14.3 ± 13.3 and 13.6 ± 13.3 (P < 0.001). HFS-w score did not significantly change. WHO-5 score increased from 56 ± 23 to 62 ± 23 and 65 ± 22 P < 0.001). A modest, significant association was found between HbA_1c and WHO-5 score (B = −1.8, 95% CI: −2.7 to −0.8) and HbA1c and DSC-r score (B = 1.0, 95% CI: 0.4 to 1.6). No such association was found for HFS-w score.

Conclusions

An association between improvement in HbA_1c by means of optimising insulin therapy and improvement in HRQoL in type 2 diabetes patients has been observed. A weak, yet significant longitudinal association was found between improved HbA_1c and emotional well-being and diabetes symptom distress.

Type 2 diabetes quality of life patients treated with insulin and oral hypoglycemic medication

The aim of the study is to assess QoL depending on the choice of therapeutic regimen. From a total of 200 patients, half (n = 100) were treated with insulin (66% were females, age 52.1 ± 7.4-group A), the remaining 100 received oral treatment (74% females, age 63.3 ± 8.3-group B). For self-assessment of QoL, the WHOQOL-BREF questionnaire was used. In group A, we found a negative influence of increased level of glycemia and occurrence of coexisting diseases in the somatic domain . In the psychological domain, frequent checkups showed a positive influence while circulatory failure produced negative results. For social domain, disobeying of recommended diet was strongly negative as well as increased levels of glycemia and coexisting disease for environmental domain. In group B, for somatic domain, correct values of glycemia and place of residence had positive influence. Incorrect values of BMI, WHR, and co-existing disease influenced the same domain negatively. In the psychological domain, a positive influence had place of residence but a negative BMI, ischemic heart disease, clinical complications. For environmental domain, a positive influence had correct values of glycemia but a negative BMI, ischemic heart disease and clinical complications. Finally, the social domain for group B was negatively influenced by BMI, ischemic heart disease, clinical complications, and lack of regular supervisions of glycemia level. A higher assessment of quality of life was found in the group of patients treated with oral hypoglycemic medicines in somatic and environmental domains, and in the group of patients treated with insulin in psychological domain.

The relationship between HbA1c level, symptoms and self-rated health in type 2 diabetic patients

OBJECTIVE

Improving glycaemic control is generally supposed to reduce symptoms experienced by type 2 diabetic patients, but the relationships between glycated haemoglobin (HbA(1c)), diabetes-related symptoms, and self-rated health (SRH) are unclarified. This study explored the relationships between these aspects of diabetes control.

DESIGN

A cross-sectional study one year after diagnosis of type 2 diabetes.

SUBJECTS

A population-based sample of 606 type 2 diabetic patients, median age 65.6 years at diagnosis, regularly reviewed in primary care.

MAIN OUTCOME MEASURES

The relationships between HbA(1c), diabetes-related symptoms, and SRH.

RESULTS

The patients' median HbA(1c) was 7.8 (reference interval: 5.4-7.4 % at the time of the study). 270 (45.2%) reported diabetes-related symptoms within the past 14 days. SRH was associated with symptom score (γ = 0.30, p < 0.001) and HbA(1c) (γ = 0.17, p = 0.038) after correction for covariates. The relation between HbA(1c) and symptom score was explained by SRH together with other confounders, e.g. hypertension (γ = 0.02, p = 0.40). The relation between the symptom fatigue and SRH was not explained by symptom score and significantly modified the direct association between symptom score and SRH.

CONCLUSIONS

Symptom relief may not occur even when HbA(1c) level is at its lowest average level in the natural history of diabetes, and symptoms and SRH are closely linked. Monitoring symptoms in the clinical encounter to extend information on disease severity, as measured e.g. by HbA(1c), may help general practitioners and patients to understand the possible impact of treatments and of disease manifestations in order to obtain optimum disease control.