Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India

Quality of Life and Its Determinants Among Individuals With Diabetes in Saudi Arabia: A Cross-Sectional Online Survey

Background Diabetes mellitus is a significant public health issue globally, with increasing prevalence rates. In Saudi Arabia, a substantial proportion of the adult population is affected. While the impact of diabetes on physical health is well-documented, less is known about its effects on emotional and social well-being in this region. Methods From January to March 2024, we conducted a cross-sectional online survey of 207 individuals with diabetes in Saudi Arabia. The survey, available in Arabic and English, assessed physical symptoms, emotional health, social interactions, and overall quality of life. Descriptive statistics were used for analysis. Results The majority of participants were aged 31-45 years (n=63, 30.4%) and female (n=118, 56.9%). Type 2 diabetes was the most common (n=122, 59.1%). Regarding physical health, 34.6% (n=72) rated their health as good while 37.2% (n=77) experienced physical symptoms sometimes and 17.9% (n=37) often. Emotional health challenges were reported by 39.2% (n=81) experiencing anxiety and 33.9% (n=70) experiencing depression. Social interactions were impacted, with 28.6% (n=59) reporting challenges in relationships and 14.3% (n=30) facing significant impacts on recreational activities. Overall quality of life was rated as good by 40.4% (n=83), fair by 29.9% (n=62), and very poor by 4.8% (n=10). Conclusions The study highlights the significant effects of diabetes on the physical, emotional, and social aspects of life in Saudi Arabia. The findings underscore the need for comprehensive care strategies that incorporate medical treatment, emotional support, and social integration to improve the overall quality of life for individuals with diabetes.

Assessment of Health-Related Quality of Life and Its Determinants in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study

Background Type 2 diabetes mellitus is a complex metabolic disorder associated with several complications that determine the quality of life of the patients. Health-related quality of life (HRQoL) is a measurable outcome of the self-perception of a patient's health which is affected due to age, lifestyle changes, medication, and treatment modalities. This study was undertaken to understand the impact of individual parameters of age, medication type and duration, diabetes-associated complications, and levels of glycated hemoglobin (HbA1c) on the quality of life (QoL) of the patient.  Methodology This single-center prospective, cross-sectional study was conducted at the Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India. Participants were recruited from the Outpatient Department of General Medicine, IGIMS. HRQoL was measured using a validated and reliable EuroQol 5-dimensions 5-levels (EQ-5D-5L) questionnaire developed by the EuroQol Research Foundation, along with the EuroQol-Visual Analogue Scale (EQ-VAS). The eligibility criteria included adult diabetic patients above 18 years of age with complete medical records, who had been treated at the outpatient department for a minimum of three months and could be interviewed. Results The results from this study show that 46% of the patients belonged to the age group of 45-65 years. The quality of health index scores and EQ-VAS scores significantly correlated with age (p-values: 1.11 e-4 and 3.09 e-5; <0.05). Of the subjects, 66.4%, 6.7%, and 26.8% were under oral hypoglycaemic agents (OHA), insulin, and both insulin with OHA medications respectively. HbA1C levels were statistically significantly correlated with mobility, self-care, usual activities, pain or discomfort, and anxiety or depression (p-value 0.032; <0.05), along with self-perception of the patient's health (p-value 0.00026; <0.05). Also, the perception of having slight problems in mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was similar irrespective of gender (EQ-5D-5L score for males: 9.47 and females: 9.3). Despite suffering from diabetes-associated chronic complications, 60.5% of the subjects perceived their overall health to be good as indicated by the scores. Conclusion The self-perception of HRQoL concerning mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was correlated with age, duration of anti-diabetic medication, and HbA1C level. Good mobility, self-care, and performing usual activities reduce anxiety or depression as opposed to age, pain, and discomfort. However, the subjects in this study cohort perceived overall good health in themselves in terms of EQ-VAS and 5D-5L scores, indicating effective diabetic care and management options available to them.

Correlation between socio-demographic characteristics, metabolic control factors and personality traits with self-perceived health status in patients with diabetes: A cross-sectional study

Purpose

This study aimed to assess the relationship between metabolic control factors, socio-demographic characteristics, personality traits, and self-perceived health status in diabetes.

Methods

This cross-sectional study included 318 patients with type 1 and 2 diabetes (DM). Participants completed a questionnaire-based survey, which included the NEO Personality Inventory-Revised to measure five personality dimensions and the SF-12 survey to assess self-perceived health status. Binary logistic regression was performed to analyze the data, with socio-demographic characteristics, clinical data, and nutrition status as independent variables, and self-perceived health status (categorized as poor or good condition) as the dependent variable. Unadjusted and adjusted binary logistic regression analyses were used to examine the association between personality traits (high vs. low) and metabolic control factors (good control vs. bad control) with health status scores.

Results

60.7% of the participants with diabetes in the study described their health as "good." The results indicated that female gender (OR: 0.314, 95%CI: 0.105-0.938, P = 0.038), age > 60 years (OR: 0.263, 95%CI: 0.117-0.592, P = 0.001), comorbidities (OR: 0.314, 95%CI: 0.178-0.556, P = 0.001), DM complications (OR: 0.531, 95%CI: 0.337-0.838, P = 0.007), diabetic neuropathy (OR: 0.562, 95%CI: 0.356-0.886, P = 0.013), and diabetic ulcer (OR: 0.130, 95%CI: 0.023-0.747, P = 0.022) were independent variables associated with a "poor" health status. However, regular physical activity (OR: 3.144, 95%CI: 1.209-8.175, P = 0.019) and a healthy nutritional diet (OR: 2.456, 95%CI: 1.421-4.245, P < 0.001) were associated with a higher likelihood of a "good" self-perceived health status.

Conclusion

Preventive programs and interventions aimed at improving self-perceived health among patients with diabetes should focus on increasing regular physical activity and promoting a healthy nutritional status. These actions should be particularly targeted towards female and older patients with higher neuroticism traits.

Oral health-related quality of life among diabetic patients: A cross-sectional controlled study

Introduction

Diabetes is a widespread chronic metabolic condition that has a significant negative influence on a person's sociopsychological, physical, and economic well-being. This study was designed to (1) measure the impact of oral health on quality of life (QoL) using the Oral Health Impact Profile-14 (OHIP-14) in association with other factors (age, gender, years of diabetes, level of education, smoking, presence of other conditions, oral complaints, and glycemic control) and (2) validate the Arabic version of the OHIP-14.

Materials and Methods

Diabetic and healthy participants completed a two-part survey including demographic characteristics OHIP-14 questionnaire.

Results

The sample consisted of 121 patients with type 2 diabetes mellitus and 146 healthy controls. Sociodemographic data, OHIP-14 questionnaires, and glycemic control data were collected. The data were statistically analyzed. The results showed that OHIP-14 was found to have sufficient reliability and validity in measuring life quality. Our study documented the effects of oral health complications on QoL among diabetics compared to controls. The type of diabetes had no effect on life quality. The highest OHIP-14 domain affected was functional limitation, while the lowest one was social handicap.

Conclusion

It was concluded that diabetes has a negative effect on life quality. Diabetic patients have unsatisfactory oral health, which affects their QoL. The OHIP-14 is a reliable and valuable instrument to measure life quality.

Determinants of health-related quality of life in older people with chronic musculoskeletal pain: a cross-sectional study

BACKGROUND

This study aimed to identify the significant physical, psychological, and social determinants associated with EuroQuol-5D (EQ-5D) among Chinese older people with chronic musculoskeletal pain, and to evaluate how these determinants affected the five dimensions of EQ-5D.

METHOD

This is a cross-sectional study. Data were collected through a cohort involving 946 community-dwelling older people aged ≥ 60 with chronic musculoskeletal pain in Hong Kong. Selected independent variables were categorized into physical, psychological, and social domains. Physical variables included age, sex, body mass index (BMI), pain severity score, number of pain regions, the most painful site, and the number of comorbidities. Psychological variables included depression level measured using the 9-question Patient Health Questionnaire (PHQ-9), and anxiety level measured using the Generalized Anxiety Disorder Assessment (GAD-7). Social variables included living, marital, and social welfare recipient's status. The dependent variables comprised the index scores and the five dimensions of the EQ-5D descriptive system. Ordinal least squares (OLS) model and logistic regression model were used for data analysis.

RESULTS

The mean age of the participants was 67.1 (SD = 5.1), with 77.6% being female. Higher pain severity scores (beta (β) coefficient =-0.044, P < 0.001), depression scores (β=-0.007, P < 0.001) and higher anxiety scores (β=-0.01, P < 0.001) were associated with lower EQ-5D index scores. Specifically, knee pain (β=-0.061, P < 0.001) was significantly associated with lower EQ-5D index scores. Participants with higher pain severity and depression scores were more likely to report problems in most EQ-5D dimensions. Participants with anxiety primarily faced challenges related to mood, and those with knee pain were more likely to have problems with mobility and daily activities.

CONCLUSION

Among the selected determinants in our study, pain intensity, depression, anxiety, and knee pain were identified as key determinants associated with reduced HRQoL in older Chinese people with chronic musculoskeletal pain. Each of these determinants showed distinct associations with different dimensions of the EQ-5D, potentially informed resource allocation and the development of targeted interventions to improve the overall HRQoL of this specific population.

Impact of Treviamet® & Treviamet XR® on quality of life besides glycemic control in type 2 DM patients

BACKGROUND

Maintaining the quality of life is the main objective of managing type 2 diabetes (T2DM) (QoL). Since it is a key factor in patient motivation and adherence, treatment-related QoL has always been considered when choosing glucose-lowering medicines. The objective of the study was to evaluate the quality of life besides glycemic control among type 2 diabetes mellitus patients receiving Treviamet® & Treviamet XR® (Sitagliptin with Metformin) in routine care.

METHODS

It was a prospective, open-label, non-randomized clinical trial including T2DM patients uncontrolled on Metformin therapy. All patients received Treviamet® & Treviamet XR® for six months. Sequential changes in QoL, fasting plasma glucose, HbA1c, body weight, and blood pressure were monitored from baseline to 3 consecutive follow-up visits. The frequency of adverse events (AEs) was also noted throughout the study.

RESULTS

A total of 504 patients were screened; 188 completed all three follow-ups. The mean QoL score significantly declined from 57.09% at baseline to 33.64% at the 3rd follow-up visit (p < 0.01). Moreover, a significant decline in mean HbA1c and FPG levels was observed from baseline to 3rd follow-up visit (p < 0.01). Minor adverse events were observed, including abdominal discomfort, nausea, flatulence, and indigestion. Gender, HbA1c, diarrhea, and abdominal discomfort were significant predictors of a patient's QoL, as revealed by the Linear Regression Model (R2 = 0.265, F(16, 99) = 2.231).

CONCLUSION

Treviamet® & Treviamet XR® significantly improved glycemic control (HbA1c levels) and QoL in T2DM patients without serious adverse events.

TRIAL REGISTRATION

ClinicalTrials.gov identifier (NCT05167513), Date of registration: December 22, 2021.

Metabolic control, adherence to the gluten-free diet and quality of life among patients with type 1 diabetes and celiac disease

AIMS

In this cross-sectional study, we aimed to evaluate metabolic control, adherence to a gluten-free diet (GFD), and quality of life (QoL) in individuals with type 1 diabetes (T1D) and celiac disease (CD).

METHODS

We targeted individuals with T1D and CD at a major tertiary hospital in Saudi Arabia. We gathered retrospective data from medical records and prospectively assessed glycemic control using HbA1c and ambulatory glucose metrics, adherence to a GFD using the Celiac Dietary Adherence Test (CDAT), and QoL using the Celiac Disease Quality of Life survey (CD-QoL).

RESULTS

Forty-eight out of 1095 patients screened (4.38%) were included. Mean age and HbA1c were 21.3 (± 6.6) and 8.3% (± 0.8%). The average time in range% and above range% were 38.5 (range 24-68) and 29.6 (± 7.4). The median hypoglycemic events/month was 8, with a median duration of 80 min. The median overall CDAT and CD-QoL scores were 20.5 and 54. No significant correlations were observed between glucose management indicator (GMI), % in target, and CDAT/CD-QoL scores (all p > 0.05).

CONCLUSIONS

No significant effect of GFD on QoL or glycemic control was observed. Further prospective studies are warranted to establish solid evidence of the impact of GFD on individuals with T1D and CD.

Classification of reviews of e-healthcare services to improve patient satisfaction: Insights from an emerging economy

The COVID-19 pandemic has brought in many unique challenges and opportunities for patient care, and one is online healthcare practices. Patient satisfaction with online consultation is primary importance as online healthcare practices are evolving with time. Although previous research has examined how patient satisfaction with online doctor services can be further improved, there has been scant research on the satisfaction with online doctor services concerning Indian patients. Within the framework of service science theories, this study examines satisfaction and sentiments of Indian patients with online doctor services from multiple perspectives. A total of 38019 patient online feedback for 343 doctors was used for understanding patient sentiments. The sentiment analysis classified the reviews of the patients on online doctor consultation services. The finding suggests that healthcare service providers consider a systemic approach that includes core health services along with technical and marketing factors to proactively improve online patient satisfaction.

Patient satisfaction with access, affordability and quality of diabetes care at Mohalla Clinics in Delhi, India

Introduction

Mohalla Clinics have been set up to provide curative care for minor ailments free of cost within walking distance in the urban slums, thus making primary care more accessible and affordable. Studies evaluating patient satisfaction with treatment of chronic conditions, such as diabetes, in these clinics are lacking.

Methods

A survey of 400 type 2 diabetes patients was conducted, split equally between Mohalla clinics (MC) and Private clinics (PC) in Delhi. Responses were analyzed using STATA17, applying appropriate statistical tests for the data type (Chi-square test, Mann-Whitney U test, Wilcoxon signed rank test, or two-sample t test).

Results

Satisfaction level was high in both groups with no significant difference between mean satisfaction scores of MC patients and PC patients (Mean 3.79 vs. 3.85 respectively, p = 0.4). However, MC patients reported a significant improvement in their satisfaction score after switching to MC (Mean 3.79 vs. 3.3 for the previous facility, p < 0.05). Physician interaction with the patients was the most important factor in influencing the satisfaction score. Proximity to the clinic was the second most important factor for MC patients but was not as important for PC patients. Surprisingly, treatment success was considered an important factor for satisfaction level by < 10% MC and < 20% PC patients only, pointing to the need for patient education across both the groups. None of the MC patients mentioned free treatment as a contributory factor to high satisfaction, perhaps because most shifted from a government setup to MC. PC patients had more frequent follow-up visits and blood glucose monitoring, and longer consultation duration compared to MC patients, which were offset by access factors, thus not causing much difference to the satisfaction score between the two groups.

Conclusion

Mohalla clinics are making diabetes treatment accessible and affordable for the marginalized population of Delhi, despite not being designed or fully equipped to care for chronic diseases such as diabetes that require multi-specialty care to monitor and manage multiple co-morbidities and long-term complications. Positive perception of physician interaction and convenient location of the clinics are the two major contributors to the high satisfaction patients expressed with diabetes care at these clinics.

Health-Related Quality of Life and Associated Factors Among Adults with Type-2 Diabetes Mellitus: A Community-Based Cross-Sectional Study in Rural Kerala, India

Background

India is the second-largest country in the world with an estimated 77 million people living with diabetes. Persons with diabetes reported lower quality of life when compared to non-diabetes persons. There are significant associations between poor health-related quality of life (HRQoL) and adverse health outcomes among diabetes people. However, evidence documenting the same in India is scarce.

Aims

To assess the health-related quality of life and its determinants among diabetic patients in rural Kerala, India.

Methods

We conducted a community-based cross-sectional study among 425 adults type-2 diabetic patients from rural Kerala. The World Health Organization Quality of Life questionnaire was used to measure HRQoL. Multiple logistic regression analysis was used to study the association between HRQoL and independent variables.

Results

More than half of the respondents were men (52%), and 45% were older adults (≥60 years). Poor quality of life was reported by 38% of the respondents. Medium [Odds ratio (OR):4.70, 95%CI: 2.61-8.46] and low socio-economic status (SES) group (OR: 4.59, CI: 2.43-8.66) had poorer HRQoL compared to the higher SES group. Those with multi-morbidity (OR: 2.91, CI: 1.63-5.19), unemployed (OR: 2.54, CI: 1.46-4.42), and less educated (OR: 2.28, CI: 1.34-3.88) and older adults (OR: 2.11, CI: 1.28-3.45) were more likely to have poor HRQoL compared to their counterparts.

Conclusion

More than one-third of the diabetes patients in rural Kerala reported poor HRQoL. The study also identified age, socio-economic status, education, and occupation as the important predictors of HRQoL among diabetes patients. The findings highlighted the need for assessing HRQoL as part of the routine management of diabetes care in similar settings.