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Diabetes Progression Quality Of Life

Measuring Health-related Quality Of Life For Patients With Diabetic Retinopathy

Measuring Health-related Quality Of Life For Patients With Diabetic Retinopathy

Measuring Health-Related Quality of Life for Patients With Diabetic Retinopathy Project ID: DBTR0610. Comments received from draft review on diabetic retinopathy. The Agency for Healthcare Research and Quality's (AHRQ) Technology Assessment (TA) Program supports and is committed to the transparency of its review process. Therefore, invited peer review comments and public review comments are publicly posted on the TA Program Web site at within 3 months after the associated final report is posted. This document presents the peer review comments and public review comments sent in response to the draft report, Measuring Health-Related Quality of Life for Patients With Diabetic Retinopathy, which was made available for comment on the AHRQ Web site. The final version of the report is available online. Select for printable version (PDF File, 85 KB). Plugin Software Help . Overall, this is a well designed, clearly written assessment. The purpose of the assessment is clearly stated, methods are sufficiently delineated, and the scope of the projected precisely defined. The discussion and conclusions are supported by the aim and methods of the assessment. The use of intravitreal injections of steroids and anti-VEGF agents or treatment of diabetic retinopathy and diabetic macular edema should be included in appropriate interventions. We have added a sentence to the ES & introduction: "Serial intravitreal injections of triamcinolone have been introduced as a treatment option as they have been shown to be effective at reducing diabetic macular edema; however, their use is become less common due to significant adverse effects including elevated intraocular pressure and cataract formation. Ranibizumab and becvacizumab are being used with increasing frequency for the treatment of macul Continue reading >>

Chapter 2: Diabetes In Canada: Facts And Figures From A Public Health Perspective – Health Impact

Chapter 2: Diabetes In Canada: Facts And Figures From A Public Health Perspective – Health Impact

Chapter 2 – The health impact of diabetes on Canadians Introduction Diabetes can lead to many complications, including cardiovascular disease, vision loss/blindness, kidney failure, nerve damage, problems with pregnancy, oral disease and depression. These conditions contribute significantly to reduced quality of life, work limitations, and increased risk of death; they also greatly increase the demand for health care resources and add to the costs of diabetes for society (Chapter 3). Although the rates of many complications among people with diabetes have stabilized or decreased in recent years, the increase in the number of individuals with diabetes has led to a continued rise in the number of individuals affected by its complications.1 Fortunately, it is often possible for individuals with diabetes to live healthy lives and delay or prevent complications through the management of blood glucose, blood lipids and blood pressure levels through lifestyle changes and medication. Managing diabetes and its complications The goals of diabetes management for individuals with type 1 and type 2 diabetes alike are to eliminate the symptoms and short-term risks of high or low glycemic levels, and to prevent or at least delay the progression of long-term complications through early detection and treatment. In 2008, the Canadian Diabetes Association published the updated Clinical practice guidelines for the prevention and management of diabetes in Canada,2 providing evidence-based guidelines for optimal diabetes management. Healthy weights, regular physical activity, smoking cessation (where applicable), as well as aggressive control of blood sugar, blood pressure and blood lipid levels are all recommended by the Canadian Diabetes Association guidelines as ways to prevent or slow Continue reading >>

Michigan Center For Diabetes Translational Research (mcdtr): Disease Modeling Software For Clinical Research

Michigan Center For Diabetes Translational Research (mcdtr): Disease Modeling Software For Clinical Research

Zhou H, Isaman DJM, Messinger S, Brown MB, Klein R, Brandle M, Herman WH: A Computer Simulation Model of Diabetes Progression, Quality of Life, and Cost. Diabetes Care 28:2856-2863, 2005. [ pdf ] Ye W, Brandle M, Brown MB, Herman WH, The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation, DIABETES TECHNOLOGY & THERAPEUTICS, Volume 17, Number 11, 2015 [ pdf ] [ supplementary data ] Brandle M, Zhou H, Smith BR, et al. The direct medical cost of type 2 diabetes. Diabetes Care 2003;26:2300-4. [ pdf ] Coffey JT, Brandle M, Zhou H, Marriott D, Burke R, Tabaei BP, Engelgau MM, Kaplan RM, Herman WH: Valuing healthrelated quality of life in diabetes. Diabetes Care 25:22382243, 2002 [ pdf ] Herman WH, Ye W, Griffin SJ, Simmons RK, Davies MJ, Khunti K, Rutten GE, Sandbaek A, Lauritzen T, Borch-Johnsen K, Brown MB, Wareham NJ. Early Detection and Treatment of Type 2 Diabetes Reduce Cardiovascular Morbidity and Mortality: A Simulation of the Results of the Anglo-Danish-Dutch Study of Intensive Treatment in People With Screen-Detected Diabetes in Primary Care (ADDITION-Europe). Diabetes Care. 2015 May 18. pii: dc142459. [Epub ahead of print] PubMed PMID: 25986661. [ pdf ][ supplementary data ] Isaman DJM, Herman WH Brown MB. A discrete-state and discrete-time model using indirect estimates. Statistics in Medicine 2006; 25: 1035-1049. DOI: 10.1002/sim.2241 [ pdf ] Isaman DJM, Barhak J, Ye W (2009) Indirect Estimation of a Discrete-State Discrete-time model using Secondary Data Analysis of Regression Data. Statistics in Medicine 28(16):2095-115. [ pdf ] Ye W, Isaman DJM, Barhak J (2012). Use of Secondary Data to Estimate Instantaneous Model Parameters of Diabetic Heart Disease: Lemonade Method. Information Fusion 13(2): 137-145 [ pdf ] Barhak J, I Continue reading >>

Diabetes And Quality Of Life: Initial Approach To Depression, Physical Activity, And Sexual Dysfunction

Diabetes And Quality Of Life: Initial Approach To Depression, Physical Activity, And Sexual Dysfunction

The different aspects that contribute to quality of life in patients with diabetes mellitus, such as mood, are of great importance for the treatment of this disease. These aspects not only influence the well-being of patients but also influence treatment adherence, therefore affecting the course of the disease. A panel of experts from Argentina, Chile, and Uruguay performed a review of the main aspects affecting quality of life in patients with diabetes: physical activity, mood disorders, and sexual activity. The consensus of the panel was that physical activity is important in the treatment of patients with diabetes because it reduces morbidity, mortality, and disease complications, and it should be performed on a regular basis, bearing in mind the patient's characteristics. Increased physical activity is associated with better glycemic control, and in individuals with glucose intolerance, it delays progression toward diabetes. In patients with diabetes, there is a high prevalence of depression, which can influence treatment adherence. Therefore, early detection of depression is essential to improve the course of diabetes. Regarding sexual activity, erectile dysfunction may be a significant sign in the case of suspected diabetes and the early diagnosis of vasculopathy in patients with diabetes. In conclusion, greater emphasis should be placed on improving patient knowledge, early detection, and multidisciplinary approaches to deal with the aspects of diabetes that affect patients' quality of life. Supplemental Digital Content is Available in the Text. 1German Hospital, Buenos Aires, Argentina; 2Dr Alberto Cormillot Nutrition and Health Clinic, Buenos Aires, Argentina; 3University of Buenos Aires School of Medicine, Buenos Aires, Argentina; 4Bayer Argentina, Buenos Air Continue reading >>

Type 2 Diabetes And Quality Of Life

Type 2 Diabetes And Quality Of Life

Go to: Abstract 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, depre Continue reading >>

Temporal Predictors Of Health-related Quality Of Life In Elderly People With Diabetes: Results Of A German Cohort Study

Temporal Predictors Of Health-related Quality Of Life In Elderly People With Diabetes: Results Of A German Cohort Study

Click through the PLOS taxonomy to find articles in your field. For more information about PLOS Subject Areas, click here . Temporal Predictors of Health-Related Quality of Life in Elderly People with Diabetes: Results of a German Cohort Study Affiliation Department of General Internal Medicine and Psychosomatics, Medical University Hospital Heidelberg, Heidelberg, Germany Contributed equally to this work with: Imad Maatouk, Beate Wild Affiliation Department of General Internal Medicine and Psychosomatics, Medical University Hospital Heidelberg, Heidelberg, Germany Affiliation Department of General Internal Medicine and Psychosomatics, Medical University Hospital Heidelberg, Heidelberg, Germany Affiliation Department of General Internal Medicine and Psychosomatics, Medical University Hospital Heidelberg, Heidelberg, Germany Affiliation Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany Affiliation Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany Affiliations Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany, Institute for Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany Affiliation Saarland Cancer Registry, Saarland Ministry of Public Health, Saarbrcken, Germany These authors also contributed equally to this work. Affiliation Department of General Internal Medicine and Psychosomatics, Medical University Hospital Heidelberg, Heidelberg, Germany Continue reading >>

A Computer Simulation Model Of Diabetes Progression, Quality Of Life, And Cost.

A Computer Simulation Model Of Diabetes Progression, Quality Of Life, And Cost.

A computer simulation model of diabetes progression, quality of life, and cost. University of Michigan Health System, 3920 Taubman Center, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0354, USA. To develop and validate a comprehensive computer simulation model to assess the impact of screening, prevention, and treatment strategies on type 2 diabetes and its complications, comorbidities, quality of life, and cost. The incidence of type 2 diabetes and its complications and comorbidities were derived from population-based epidemiologic studies and randomized, controlled clinical trials. Health utility scores were derived for patients with type 2 diabetes using the Quality of Well Being-Self-Administered. Direct medical costs were derived for managed care patients with type 2 diabetes using paid insurance claims. Monte Carlo techniques were used to implement a semi-Markov model. Performance of the model was assessed using baseline and 4- and 10-year follow-up data from the older-onset diabetic population studied in the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR). Applying the model to the baseline WESDR population with type 2 diabetes, we predicted mortality to be 51% at 10 years. The prevalences of stroke and myocardial infarction were predicted to be 18 and 19% at 10 years. The prevalences of nonproliferative diabetic retinopathy, proliferative retinopathy, and macular edema were predicted to be 45, 16, and 18%, respectively; the prevalences of microalbuminuria, proteinuria, and end-stage renal disease were predicted to be 19, 39, and 3%, respectively; and the prevalences of clinical neuropathy and amputation were predicted to be 52 and 5%, respectively, at 10 years. Over 10 years, average undiscounted total direct medical costs were estimated to Continue reading >>

Diabetes Treatment: What Price Quality Of Life?

Diabetes Treatment: What Price Quality Of Life?

Diabetes Treatment: What Price Quality of Life? This article is intended for primary care clinicians, endocrinologists, and other specialists who care for patients with type 2 diabetes. The goal of this activity is to provide medical news to primary care clinicians and other healthcare professionals in order to enhance patient care. Upon completion of this activity, participants will be able to: Discuss previous research about how hemoglobin A1c levels affect long-term microvascular and macrovascular outcomes in type 2 diabetes. Evaluate the efficacy of stricter glycemic control in the context of treatment burden regarding type 2 diabetes. As an organization accredited by the ACCME, Medscape, LLC, requires everyone who is in a position to control the content of an education activity to disclose all relevant financial relationships with any commercial interest. The ACCME defines "relevant financial relationships" as financial relationships in any amount, occurring within the past 12 months, including financial relationships of a spouse or life partner, that could create a conflict of interest. Medscape, LLC, encourages Authors to identify investigational products or off-label uses of products regulated by the US Food and Drug Administration, at first mention and where appropriate in the content. Disclosure: Marlene Busko has disclosed no relevant financial relationships. Disclosure: Nafeez Zawahir, MD, has disclosed no relevant financial relationships. Disclosure: Charles P. Vega, MD, has disclosed the following financial relationships: Served as an advisor or consultant for: McNeil Pharmaceuticals Disclosure: Amy Bernard, MS, BSN, RN-BC, has disclosed no relevant financial relationships. Medscape, LLC is accredited by the Accreditation Council for Continuing Medical Ed Continue reading >>

Type 2 Diabetes

Type 2 Diabetes

Whether you have type 2 diabetes, are a caregiver or loved one of a person with type 2 diabetes, or just want to learn more, the following page provides an overview of type 2 diabetes. New to type 2 diabetes? Check out “Starting Point: Type 2 Diabetes Basics” below, which answers some of the basic questions about type 2 diabetes: what is type 2 diabetes, what are its symptoms, how is it treated, and many more! Want to learn a bit more? See our “Helpful Links” page below, which provides links to diaTribe articles focused on type 2 diabetes. These pages provide helpful tips for living with type 2 diabetes, drug and device overviews, information about diabetes complications, nutrition and food resources, and some extra pages we hope you’ll find useful! Starting Point: Type 2 Diabetes Basics Who is at risk of developing type 2 diabetes? What is the risk of developing type 2 diabetes if it runs in the family? What is type 2 diabetes and prediabetes? Behind type 2 diabetes is a disease where the body’s cells have trouble responding to insulin – this is called insulin resistance. Insulin is a hormone needed to store the energy found in food into the body’s cells. In prediabetes, insulin resistance starts growing and the beta cells in the pancreas that release insulin will try to make even more insulin to make up for the body’s insensitivity. This can go on for a long time without any symptoms. Over time, though, the beta cells in the pancreas will fatigue and will no longer be able to produce enough insulin – this is called “beta burnout.” Once there is not enough insulin, blood sugars will start to rise above normal. Prediabetes causes people to have higher-than-normal blood sugars (and an increased risk for heart disease and stroke). Left unnoticed or Continue reading >>

Examining Diabetes Distress, Medication Adherence, Diabetes Self-care Activities, Diabetes-specific Quality Of Life And Health-related Quality Of Life Among Type 2 Diabetes Mellitus Patients

Examining Diabetes Distress, Medication Adherence, Diabetes Self-care Activities, Diabetes-specific Quality Of Life And Health-related Quality Of Life Among Type 2 Diabetes Mellitus Patients

Examining diabetes distress, medication adherence, diabetes self-care activities, diabetes-specific quality of life and health-related quality of life among type 2 diabetes mellitus patients Author links open overlay panel ZeinabJannooa A five-factor theoretical model is proposed. The SEM model evaluated relationships among three endogenous and two exogenous variables. Higher levels of medication adherence had a significant direct effect on diabetes distress. Self-care activities had significant direct effect on diabetes distress and HRQoL. Diabetes-specific QoL had a significant effect on HRQoL. Health-Related Quality of Life (HRQoL) has been increasing attention in health outcome studies. Factors that individually influence HRQoL, diabetes self-care behaviors, and medication adherence have been widely investigated; however, most previous studies have not tested an integrated association between multiple health outcomes. The purpose of this study was to formulate a hypothetical structural equation model linking HRQoL, diabetes distress, diabetes self-care activities, medication adherence and diabetes-dependent QoL in patients with Type 2 Diabetes Mellitus (T2DM). A cross-sectional study design was employed, and 497 patients with T2DM were recruited from outpatient clinics in three public hospitals and one government clinic. The patients completed a series of questionnaires. The hypothetical model was tested using Structural Equation Modeling (SEM) analysis. The values of the multiple fit indices indicated that the proposed model provided a good fit to the data. SEM results showed that medication adherence (MMAS) had a significant direct effect on diabetes distress (PAID) (Beta=0.20). The self-care activities (SDSCA) construct was significantly related to PAID (Beta=0. Continue reading >>

Health-related Quality Of Life In Diabetes: The Associations Of Complications With Eq-5d Scores

Health-related Quality Of Life In Diabetes: The Associations Of Complications With Eq-5d Scores

Solli et al; licensee BioMed Central Ltd.2010 The aim of this study was to describe how diabetes complications influence the health-related quality of life of individuals with diabetes using the individual EQ-5D dimensions and the EQ-5D index. We mailed a questionnaire to 1,000 individuals with diabetes type 1 and 2 in Norway. The questionnaire had questions about socio-demographic characteristics, use of health care, diabetes complications and finally the EQ-5D descriptive system. Logistic regressions were used to explore determinants of responses in the EQ-5D dimensions, and robust linear regression was used to explore determinants of the EQ-5D index. In multivariate analyses the strongest determinants of reduced MOBILITY were neuropathy and ischemic heart disease. In the ANXIETY/DEPRESSION dimension of the EQ-5D, "fear of hypoglycaemia" was a strong determinant. For those without complications, the EQ-5D index was 0.90 (type 1 diabetes) and 0.85 (type 2 diabetes). For those with complications, the EQ-5D index was 0.68 (type 1 diabetes) and 0.73 (type 2 diabetes). In the linear regression the factors with the greatest negative impact on the EQ-5D index were ischemic heart disease (type 1 diabetes), stroke (both diabetes types), neuropathy (both diabetes types), and fear of hypoglycaemia (type 2 diabetes). The EQ-5D dimensions and the EQ-5D seem capable of capturing the consequences of diabetes-related complications, and such complications may have substantial impact on several dimensions of health-related quality of life (HRQoL). The strongest determinants of reduced HRQoL in people with diabetes were ischemic heart disease, stroke and neuropathy. Ischemic Heart DiseaseDisability PensionUtility InstrumentUsual Activity DimensionUnrelated Comorbidity Diabetes is a chr Continue reading >>

Health-related Quality Of Life And Factors Affecting It In Type-2 Diabetic Nephropathy Patients: A Cross Sectional Observational Study | Kumar | International Journal Of Research In Medical Sciences

Health-related Quality Of Life And Factors Affecting It In Type-2 Diabetic Nephropathy Patients: A Cross Sectional Observational Study | Kumar | International Journal Of Research In Medical Sciences

DOI: Health-related quality of life and factors affecting it in type-2 diabetic nephropathy patients: a cross sectional observational study Raghuvansh Kumar, Pawan Krishan, Roopkamal Jhajj Background: Diabetes is known to worsen the health related quality of life (HRQoL). The aim of the study was to analyze a comprehensive set of potential determinants of HRQoL in a sample of patients suffering from diabetic nephropathy. Method: 60 patients were enrolled and divided into different groups on the basis of stage of diabetic nephropathy. HRQoL was evaluated using generic and disease- specific questionnaires. Generic instrument included SF-36 and diseases-specific instruments used were D-39 (Diabetes-39) and ADS (appraisal diabetes scale). The scores of these questionnaires were analyzed for their association with various demographic factors. Results: It was observed that quality of life deteriorated with the progression of diabetic nephropathy. On the basis of SF-36 score HRQoL was found to be dependent on, age, HbA1c level, presence of positive family history of diabetes and alcohol consumption. On the other hand D-39 scores showed significant association between HRQoL and various demographic factors such as gender, blood pressure, alcoholic consumption and blood sugar levels. According to ADS scores, HRQoL showed association with alcohol consumption and blood sugar levels. Discussion: HRQoL is associated with multiple factors but high linkage is demonstrated by socio-demographic factors and diabetic complications. A patient centred approach should be helpful to prevent deterioration of HRQoL and thus will decrease the burden of diabetes. A regular checkup and early detection of diabetic nephropathy and its management could further delay the decline in quality of life of Continue reading >>

Late Stage Complications Of Diabetes And Insulin Resistance

Late Stage Complications Of Diabetes And Insulin Resistance

1Department of Microbiology, Chaitanya Postgraduate College, Kakatiya University, Warangal, India 2Department of Biotechnology, Presidency College, Bangalore University, India *Corresponding Author: Department Of Microbiology, Chaitanya Postgraduate College affiliated to Kakatiya University, Warangal, India E-mail: [email protected] Citation: Soumya D, Srilatha B (2011) Late Stage Complications of Diabetes and Insulin Resistance. J Diabetes Metab 2:167. doi:10.4172/2155-6156.1000167 Copyright: © 2011 Soumya D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Visit for more related articles at Journal of Diabetes & Metabolism Abstract Diabetes mellitus is considered one of the main threats to human health in the 21st century. Diabetes is a metabolic disorder or a chronic condition where the sugar levels in blood are high. Diabetes is associated with long-term complications that affect almost every part of the body and often leads to blindness, heart and blood vessel disease, stroke, kidney failure, amputations, and nerve damage. Also it is associated with significantly accelerated rates of several debilitating microvascular complications such as nephropathy, retinopathy, and neuropathy, and macrovascular complications such as atherosclerosis and stroke. In the present article it has been discussed about the resistance of insulin and its consequences in diabetic patients. Insulin resistance results in various disorders. Metabolic syndrome is predicted to become a major public health problem in many developed, as well as developing countries. Keywords Diabetes; Complications Continue reading >>

Diabetes And Life Expectancy: Ending Myths And Getting Started On Your Best Life Yet

Diabetes And Life Expectancy: Ending Myths And Getting Started On Your Best Life Yet

For far too long, diabetes has been associated with shorter-than-average life spans and a lower quality of life for those people with the condition. But as it turns out, when diabetes is managed well, this is often not the case. With the proper tools, attitude, and support system, anyone with diabetes can change the course of their health. Why Having Diabetes Doesn’t Necessarily Mean You’ll Die Sooner It’s true that, when you consider heart-related cardiovascular complications, men and women with diabetes tend to have higher rates of early death than their peers without the disease, according to research. But it’s also true that no two people with diabetes are the same, and how a person manages his or her blood sugar is key when considering how the disease might affect your life span. “Having diabetes won’t necessarily change someone's life expectancy — it's how diabetes progresses. For every individual, diabetes is going to progress differently,” says Joanne Rinker, RD, CDE, director of practice and content development at the American Association of Diabetes Educators. “If it progresses at an extremely slow rate, because diabetes is so individualized, it might be so slow that it does not impact their life expectancy whatsoever.” Instead of thinking only about how diabetes will impact your life span, experts suggest that people with the condition should take a broader look at their overall health. “Diabetes is not a singular disease that one should focus on. Focus on how you can improve the different risk factors that can impact the functioning of the heart and other organs,” says Medha Munshi, MD, director of geriatric diabetes programs at the Joslin Diabetes Center in Boston. “It's important to think, ‘What are the factors that would impact Continue reading >>

Assessment Of Quality Of Life In Type Ii Diabetic Patients Using The Modified Diabetes Quality Of Life (mdqol)-17 Questionnaire

Assessment Of Quality Of Life In Type Ii Diabetic Patients Using The Modified Diabetes Quality Of Life (mdqol)-17 Questionnaire

Braz. J. Pharm. Sci.vol.53no.4So Paulo2017 EpubMar05, 2018 Assessment of quality of life in type II diabetic patients using the modified diabetes quality of life (MDQoL)-17 questionnaire 1Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 2Department of General Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal Diabetic complications, comorbidities, and cost of treatment affect the quality of life (QoL) of an individual. The QoL assessment is considered an important measure of outcome in chronic disease management. The objective of our study was to assess the quality of life in Type II diabetes mellitus patients with and without complications using the modified diabetes quality of life (MDQoL)-17. A prospective descriptive study was conducted over 6 months, after taking ethical committee approval. As per the inclusion criteria from medicine wards of tertiary care hospital, 250 patients were selected. Demographic characteristics were documented in the data collection form and the patients were administered with the MDQoL questionnaire in different languages. The data was analyzed using IBM SPSS version 20. Majority of the patients were male (64.4%). The average age of the study population was 60.3412.04 years. Most of the patients had a diabetes history of more than 10 years and HbA1c > 8%. The average QoL score was 65.4715.07. Majority of the diabetic patients had the QoL score between 70 and 50. Patients without complication had a better QoL. As the number of complications increased, there was a decrease in the QoL. The presence of comorbidity also decreased the QoL. There was a statistically significant correlation with various parameters such as age, duration of diab Continue reading >>

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