Determinants of the quality of life among diabetic subjects in Kerala, India

Patient and caregiver perspectives of select non-communicable diseases in India: A scoping review

BACKGROUND AND OBJECTIVES

Patient-reported measures of encounters in healthcare settings and consideration of their preferences could provide valuable inputs to improve healthcare quality. Although there are increasing reports of user experiences regarding health care in India in recent times, there is a lack of evidence from Indian healthcare settings on the care provided for patients with chronic diseases.

METHODS

We selected diabetes mellitus and cancer as representatives of two common conditions requiring different care pathways. We conducted a scoping review of studies reporting experiences or preferences of patients/caregivers for these conditions, in PubMed, Global Index Medicus and grey literature, from the year 2000 onwards. Both published and emergent themes were derived from the data and summarised as a narrative synthesis.

RESULTS

Of 95 included studies (49 diabetes, 46 cancer), 73% (65) were exclusively quantitative surveys, 79% included only patients (75), and 59.5% (44) were conducted in government centres. Studies were concentrated in a few states in India, with the underrepresentation of vulnerable population groups and representative studies. There was a lack of standardised tools and comprehensive approaches for assessing experiences and preferences of patients and caregivers, concerning diabetes and cancers in India. The commonest type of care assessed was therapeutic (74), with 14 cancer studies on diagnosis and nine on palliative care. Repeated visits to crowded centres, drug refill issues, unavailability of specific services in government facilities, and expensive private care characterised diabetes care, while cancer care involved delayed diagnosis and treatment, communication, and pain management issues.

CONCLUSIONS

There is a need for robust approaches and standardised tools to measure responsiveness of the healthcare system to patient needs, across geographical and population subgroups in India. Health system reforms are needed to improve access to high-quality care for treatment and palliation of cancer and management of chronic diseases such as diabetes.

Evaluation of the Relation between Compliance with Mediterranean Diet and Quality of Life of Patients with Type 2 Diabetes

The study was conducted to evaluate the relationship between compliance of Type 2 Diabetes patients with the Mediterranean Diet and their quality of life. A total of 200 patients admitted to TRNC Famagusta State Hospital Internal Medicine Clinic, diagnosed with Type 2 Diabetes, between the ages of 30-65 were included in the study. Patients filled out questionnaires that included data on demographic characteristics along with a 14-item MEDAS questionnaire, and SF-36 Quality of Life Scale. A total of 45% of patients were male, 55% female, mean age was 55 ± 8.28, and 65.6% of males and 49.1% of females complied moderately with the Mediterranean Diet (MEDAS score 6-9). According to the physical and mental indicator score, the quality of life of patients was moderate, and a strong relation was detected between gender and quality of life (p < 0.001). The scores of the quality of life of males were higher than those of females. Men and women who had moderate compliance with the Mediterranean Diet had higher physical function scores than those who had low compliance. The quality of life can be increased with regular training on the importance of dietary compliance because of the positive effects of the Mediterranean Diet on health.

Health-related quality of life of patients with type 2 diabetes mellitus at a tertiary care hospital in Ethiopia

Background

Type 2 diabetes mellitus (T2DM) and its treatment impact patients’ physical health as well as emotional and social wellbeing. This study aimed to assess health-related quality of life (HRQoL) and associated factors among patients with T2DM at a tertiary care hospital in Ethiopia.

Methods

A face-to-face cross-sectional survey was conducted among patients with T2DM at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia. We collected data using a validated Amharic version of the 5-level EuroQoL-5 dimensions (EQ-5D-5L) questionnaire. Descriptive statistics were used to present patient characteristics. Kruskal-Wallis and Mann-Whitney U tests were performed to explore differences in the median scores of EQ-5D-5L utility and visual analog scale (EQ-VAS). Multivariable Tobit regression models were used to identify predictors of HRQoL. Utility scores were calculated using disutility weights of the Ethiopian general population. Statistical significance was determined at p < 0.05.

Results

A total of 360 patients with T2DM participated. Mean (SD) age was 64.43(10.61) years. Reported health problems were mostly in the pain/discomfort (67.3%) dimension followed by mobility (60.5%), whereas the usual activities domain (34.1%) was the least health problem being reported. The median (IQR) EQ-5D-5L utility and EQ-VAS scores were 0.95 (0.88–0.96) and 80 (75.0–85.0), respectively. In multivariable Tobit regression models older age, having poor glycemic control, longer duration of diabetes, insulin usage, obesity, and having diabetes-related complications were significant negative predictors of HRQoL.

Conclusions

Overall, patients with T2DM had lower HRQoL than the general population, which was attributed to being older age, longer duration of diabetes, insulin use, obesity, inadequate glycemic control, and diabetes-related complications. The utility index we generated can be used in future economic evaluations to inform decisions about alternative interventions and resource allocation.

Multimorbidity patterns among rural adults with Type-2 diabetes mellitus: A cross-sectional study in Kerala, India

Objectives

The study evaluated the prevalence and pattern of multi-morbidity among rural adults with type-2 diabetes mellitus and explored the factors associated with multi-morbidity among 400 adult diabetic patients from rural areas of Thiruvananthapuram district in the Kerala state of India.

Materials and Methods

The presence of multi-morbidity was assessed using a semi-structured interview schedule based on the physician's confirmation. The reported chronic diseases were classified as concordant (conditions with a similar pathophysiologic risk profile as diabetes) and discordant (conditions whose treatments are not directly related to the pathogenesis for diabetes) co-morbidity. Multivariate analysis was done to find the factors associated with multi-morbidity.

Results

Prevalence of multi-morbidity among diabetic patients was 74% (95% Confidence Interval (CI): 69-77), around 66% reported at least one concordant co-morbidity, 30% reported at least one discordant co-morbidity and 21% reported both concordant and discordant co-morbidity with diabetes. Hypertension (59%) was the most frequent co-morbidity. Older adults (above 60 years of age) [Odds Ratio (OR):3.42, 95% CI:1.97-5.94] and women (OR:2.16, CI:1.13-3.51) were more likely to have multi-morbidity compared to their counterparts. Those using insulin and/or oral medication were more likely to have multi-morbidity compared to those using oral medication only (OR: 2.19, CI: 1.07-4.09).

Conclusion

Multi-morbidity among diabetic patients needs to be addressed by a comprehensive and integrated approach rather than a diabetes specific approach.

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.

Factors associated with poor-to-moderate quality of life among pregnant women with gestational diabetes mellitus: a cross-sectional study in Malaysia

PURPOSE

This study aimed to identify factors associated with poor-to-moderate quality of life (QOL) among women with gestational diabetes mellitus (GDM) in two tertiary hospitals in Malaysia.

METHODS

A cross-sectional study was conducted among 526 pregnant women with GDM in two tertiary hospitals in Malaysia. Diabetes-related QOL was assessed using the Asian Diabetes Quality of Life Scale (AsianDQoL). Socio-demographic characteristics, glucose monitoring treatments for GDM, past obstetric history, concurrent medical problems and a family history of diseases were captured from patient records. A multiple logistic regression was used for analysis.

RESULTS

A total of 526 respondents with GDM entered the analysis. The median age of the respondents was 32 (interquartile range = 7) while 82.3% were Malay women. More than half of the respondents (69.5%) received an oral hypoglycaemic agent (OHA), and/or diet modification in controlling their GDM. The study reported that 23.2% of the respondents had poor-to-moderate QOL. Those with a family history of depression and/or anxiety (adjusted Odds ratio [AOR] 6.934, 95% confidence interval [CI] 2.280-21.081), and a family history of GDM (AOR 1.814, 95% CI 1.185-2.778) were at higher odds of suffering from poor-to-moderate QOL compared to those without a family history. Similarly, those who received insulin, with or without OHA, and/or are on diet modification (AOR 1.955, 95% CI 1.243-3.074) were at higher odds of suffering from poor-to-moderate QOL compared to those receiving OHA and/or diet modification.

CONCLUSION

Nearly one-quarter of Malaysian women with GDM have poor-to-moderate QOL. GDM women with a family history of depression and/or anxiety, family history of GDM, and those who received insulin, with or without OHA, and/or are on diet modification were associated with poor-to-moderate QOL.

TRIAL REGISTRATION

NMRR-17-2264-37814.

Evaluation of Quality of Life in Type 2 Diabetes Mellitus Patients Using Quality of Life Instrument for Indian Diabetic Patients: A Cross-Sectional Study

Background:

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease with major impact on the quality of life (QoL) in terms of various domains such as social, physical, and mental well-being.

Aim:

This study aimed to study the factors determining the QoL in T2DM patients.

Materials and Methods:

A prospective, observational study was conducted in a tertiary care hospital for 6 months. Patients of age ≥18 years and diagnosed with T2DM for ≥6 months (with and without comorbidities) were enrolled for the study. The sociodemographic and clinical characteristics were noted in the self-designed pro forma. The QoL was assessed by the Marathi-translated version of QoL Instrument for Indian Diabetes Patients questionnaire of 34 items and 8 domains. The reliability was validated by Cronbach's alpha. The differences were analyzed by Mann–Whitney U-test and Kruskal–Walis test.

Results:

Out of 153 T2DM patients, majority were elderly males with mean age of 61.23 ± 11.4 years, married (83%), lower-middle income (57%), urban (51.6%), primary education (46.4%), had diabetes for 5 years or less (42.5%), had positive family history of diabetes (32.6%), and were treated by intensive therapy mainly insulin (41.2%). Statistically significant (P < 0.05) association was found between different domains of QoL and family history, hypertension, body mass index, educational status, marital status, income status, treatment, and complications. The domains of diet satisfaction and general health with the least mean estimates of 7.70 ± 2.62 and 8.25 ± 3.08, respectively, were predominantly affected.

Conclusion:

QoL is an important parameter in diabetes treatment modality. Different factors affected QoL in diabetics in our study. Further studies are definitely needed for better data generation at national level.

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.

Quality of life associated with treatment adherence in patients with type 2 diabetes: a cross-sectional study

BACKGROUND

Despite certain contradictions, an association has been identified between adherence to drug treatment and the quality of life in patients with type 2 diabetes. The contradictions observed emphasize the importance of using different methods to measure treatment adherence, or the association of psychological precursors of adherence with quality of life. For this reason, we have used an indirect method to measure adherence (pill count), as well as two adherence behaviour precursors (attitude and knowledge), to assess the association between adherence and the quality of life in type 2 diabetes patients.

METHODS

A cross-sectional comparative study on a random sample of 238 type 2 diabetic patients was carried out over one year in four family medicine units of the Mexican Institute of Social Security (IMSS) in Aguascalientes, Mexico. Treatment adherence was measured using the indirect method of pill count to assess adherence behaviour, obtaining information at two home visits. In the first we recorded the medicine prescribed and in the second, we counted the medicine remaining to determine the proportion of the medicine taken. We also assessed two adherence behaviour precursors: the patients' knowledge regarding their medical prescription measured through a structured questionnaire; and attitudes to treatment adherence using a Likert scale. Quality of life was measured through the WHOQOL-100 (the WHO Quality of Life questionnaire). Information concerning both knowledge and attitude was obtained through interviews with the patients. A multiple linear regression model was constructed to establish the relationship between each quality of life domain and the variables related to adherence, controlling for covariates.

RESULTS

There was no association between quality of life and treatment adherence behaviour. However, the combination of strong knowledge and a positive attitude was associated with five of the six quality of life domains.

CONCLUSION

The results suggest that it is important to explore psychological precursors of treatment adherence behaviour in type 2 diabetic patients. Indeed, we consider that it will be useful to carry out interventions that change negative attitudes towards treatment adherence and that promote medical prescription knowledge, which may help to improve the quality of life of such patients.