Modeling the factors affecting the quality of life in diabetic patients in India using total interpretive structural modeling

2019 ◽  
Vol 26 (3) ◽  
pp. 951-970 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Structural Modeling ◽  
World Health ◽  
Psychological State ◽  
Diabetic Patients ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose Diabetes mellitus has become a major world health problem that has unenviable impacts on health of the people including quality of life (QOL) also and in which person’s physical and psychological state, social commitments and relationships and his interaction with the environment is affected. This shows that there is an urgent need for behavior change and considerable educational strategies for proper management and rehabilitation (Reddy, 2000). This research has identified and ranked the significant factors which affect the QOL in diabetic patients in India. The paper aims to discuss these issues. Design/methodology/approach In this paper, nine factors which affect the QOL in diabetic patients in India have been identified through review of the literature and evaluated by total interpretive structural modeling (TISM) approach, i.e. an extended version of ISM. In this approach, interpretations of the interrelationship among factors have been discussed. Therefore, TISM approach has been used to develop the model and the mutual interactions among these factors. Findings The results of the model and MICMAC analysis indicate that diet restriction, body pain and satisfaction with treatment are the top-level factors. Practical implications Identification of the factors that have a remarkable effect on the QOL in diabetic patients is very important so that the doctors and other healthcare professionals may handle these factors efficiently and proper rehabilitation can be provided to such patients. Originality/value This paper has used an application of the TISM approach to interpret the mutual relationship by using the tool of interpretive matrix and has developed a framework to calculate the drive and the dependence power of factors using MICMAC analysis. The issues related to QOL are extremely important, as they can strongly anticipate a person’s capability to govern his lifestyle with disease like diabetes mellitus and maintain good health in the long run. This shows the urgent requirement of an optimized model which can predict and interpret the relationships among these factors. In this research, the interrelationships among these factors have been developed and interpretations of these interactions have been given to develop a comprehensive model so that QOL of diabetic patients may be improved.

scholarly journals Research Progress of Diabetes Mellitus Complicated with Cardiovascular Disease

2021 ◽  
Vol 5 (4) ◽  
pp. 17-21
Author(s):  
Yuting Liu
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Treatment Plan ◽  
Cardiovascular Complications ◽  
World Health ◽  
Research Progress ◽  
Diabetic Patients

Diabetes is a chronic disease recognized by the World Health Organization, which is harmful to human life and health. With the improvement of people’s quality of life, people’s diet structure has changed greatly, and the primary “three high” prevalence rate has risen sharply. The main reason for the impaired life expectancy of a large number of diabetic patients is the threat of a series of cardiovascular complications. According to statistics, the risk of cardiovascular disease in diabetic patients are 2-4 times higher than that in non-diabetic patients. More than 80% of patients with type 2 diabetes die of cardiovascular disease every year, and 75% of them have ischemic heart disease [1]. All kinds of data show that diabetes mellitus complicated with cardiovascular diseases have become a worldwide public health problem. We must try our best to find a cure mechanism and give patients a healthy life. In order to effectively curb the threat of diabetes complicated with cardiovascular disease patients, we should strengthen the research in this field. Through the analysis of the risk factors of diabetic cardiovascular disease, we can let the majority of medical workers understand the superficial and potential risk factors, to formulate scientific and reasonable treatment plan, for further improving the quality of life of patients. In the following, the author first introduces the basic situation of diabetes and cardiovascular complications, then introduces the main risk factors of diabetic cardiovascular disease one by one, hoping that this study can help to improve the cure rate of diabetes complicated with cardiovascular disease.

Healthcare waste management: an interpretive structural modeling approach

2016 ◽  
Vol 29 (5) ◽  
pp. 559-581 ◽  
Author(s):  
Vikas Thakur ◽  
Ramesh Anbanandam
Keyword(s):  
Waste Management ◽  
Structural Modeling ◽  
World Health ◽  
Interpretive Structural Modeling ◽  
Indian States ◽  
Content Type ◽  
Healthcare Waste ◽  
Micmac Analysis ◽  
Healthcare Waste Management ◽  
Health Organization

Purpose – The World Health Organization identified infectious healthcare waste as a threat to the environment and human health. India’s current medical waste management system has limitations, which lead to ineffective and inefficient waste handling practices. Hence, the purpose of this paper is to: first, identify the important barriers that hinder India’s healthcare waste management (HCWM) systems; second, classify operational, tactical and strategical issues to discuss the managerial implications at different management levels; and third, define all barriers into four quadrants depending upon their driving and dependence power. Design/methodology/approach – India’s HCWM system barriers were identified through the literature, field surveys and brainstorming sessions. Interrelationships among all the barriers were analyzed using interpretive structural modeling (ISM). Fuzzy-Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis was used to classify HCWM barriers into four groups. Findings – In total, 25 HCWM system barriers were identified and placed in 12 different ISM model hierarchy levels. Fuzzy-MICMAC analysis placed eight barriers in the second quadrant, five in third and 12 in fourth quadrant to define their relative ISM model importance. Research limitations/implications – The study’s main limitation is that all the barriers were identified through a field survey and barnstorming sessions conducted only in Uttarakhand, Northern State, India. The problems in implementing HCWM practices may differ with the region, hence, the current study needs to be replicated in different Indian states to define the waste disposal strategies for hospitals. Practical implications – The model will help hospital managers and Pollution Control Boards, to plan their resources accordingly and make policies, targeting key performance areas. Originality/value – The study is the first attempt to identify India’s HCWM system barriers and prioritize them.

scholarly journals A quality of life for patients with diabetes

2021 ◽  
Vol 11 (8) ◽  
pp. 276-282
Author(s):  
Piotr Więsyk ◽  
Aleksandra Krasa ◽  
Małgorzata Słaboń ◽  
Halina Piecewicz-Szczęsna
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Financial Burden ◽  
The United States ◽  
World Health ◽  
Diabetic Patients ◽  
Healthcare Budget ◽  
Rate Of Increase ◽  
Medical Recommendations

Introduction and purpose: Diabetes mellitus (DM) is a metabolic disease caused by a chronic state of hyperglycemia, which results from a defect in the function or secretion of endogenous insulin. It is a disease that leads to serious complications such as blindness, lower limb amputation, ischemic heart disease or ischemic strokes. Description of the state of knowledge: The World Health Organization has identified diabetes mellitus as a global epidemic. Between 1980 and 2014, the number of people with diabetes increased from 108 million to over 422. Between 2000 and 2016, more than 7 million deaths from diabetes were reported in 108 countries, but this is an under-number due to the fact that many patients are not diagnosed with diabetes. The prevalence of diabetes in recent years is also higher in low and middle income (LMIC) countries than in high income (HIC) countries. DM also places a significant financial burden on the healthcare budget. Despite relatively large investments in medical care, clinical trials and public health interventions do not reduce the rate of increase in incidence. In the United States, annual healthcare expenditure for people with diabetes is 2.3 times greater than for people without diabetes.Summary: It is well known that diabetes significantly reduces patients' quality of life. It is influenced by both severe complications related to DM and adherence to strict medical recommendations. The low quality of life of diabetic patients contributes to depression, which is associated with not compliance with medical recommendations and increased mortality.

Effectiveness of mobile applications on healthy lifestyles aimed at diabetic patients: review of systematic reviews. (Preprint)

2019 ◽  
Author(s):  
Francisco Jesús Represas Carrera Sr ◽  
Ángel Alfredo Martínez Ques Sr ◽  
Ana Clavería Fontán Sr
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Systematic Reviews ◽  
Mobile Applications ◽  
Control Group ◽  
Diabetic Patients ◽  
Healthy Lifestyles ◽  
Major Public Health Problem

BACKGROUND Diabetes mellitus is currently a major public health problem worldwide. It is traditionally approached in a clinical inpatient relationship between the patient and the healthcare professional. However, the rise of new technologies, particularly mobile applications, is revolutionizing the traditional healthcare model through the introduction of telehealthcare. OBJECTIVE (1) To assess the effects of mobile applications for improving healthy lifestyles on the quality of life and metabolic control of diabetes mellitus in adult patients. (2) To describe the characteristics of the mobile applications used, identify the healthy lifestyles they target, and describe any adverse effects their use may have. METHODS Review of systematic reviews and meta-analysis, following the guidelines of the Cochrane Collaboration and the Joanna Briggs Institute. We included studies that used any mobile application aimed at helping patients improve self-management of diabetes mellitus by focusing on healthy lifestyles. Studies needed to include a control group receiving regular care without the use of mobile devices. In May 2018, a search was conducted in Medline, Embase, Cochrane, LILACS, PsychINFO, Cinahl and Science Direct, updated in May 2019. The methodological quality of the studies was assessed using the Amstar-2 tool. RESULTS Seven systematic reviews of 798 articles were initially selected for analysis. The interventions had a duration of between 1 and 12 months. Mobile applications focused singly or simultaneously on different lifestyles aspects (diet, physical exercise, motivation, blood glucose levels, etc.). There are significant changes in HbA1c values, body weight and BMI, although in others, such as lipid profile, quality of life, or blood pressure, there is no clear improvement. CONCLUSIONS There is clear evidence that the use of mobile applications improves glycemic control in diabetic patients in the short term. There is a lack of evidence in its long-term benefits. It is thus necessary to carry out further studies to learn about the long-term effectiveness of mobile applications aimed at promoting the healthy lifestyles of diabetic patients. CLINICALTRIAL PROSPERO Register: CRD42019133685

scholarly journals The Quality Life of Renal Failure Patient Undergo Hemodialysis

2016 ◽  
Vol 3 (2) ◽  
pp. 118-122
Author(s):  
Rizky Firman ◽  
Sri Mugianti ◽  
Imam Sunarno ◽  
Sri Winarni
Keyword(s):  
Quality Of Life ◽  
Renal Failure ◽  
Public Health Problem ◽  
World Health ◽  
Psychological State ◽  
World Health Organization Quality ◽  
Renal Failure Patient ◽  
Quality Life ◽  
The World

Chronic renal failure (CRF) is a public health problem in the world and is now recognized ascommon diseases with risk of hemodialysis therapy. Hemodialysis can have an impact to the patientquality of life. The aim of the research was to describe the patient quality of life with renal failure underghemodialysis at Mardi Waluyo Blitar hospital. The research used a descriptive research design. Thepopulation was all patients with renal failure which registered in Hemodialysis of Mardi Waluyo Blitarhospital on October-December 2014 as many as 84 patients. The sample was 34 patients selected byaccidental sampling. The data collection was conducted on March 30th – April 4th, 2015. The datacollecting used questionnaires of The World Health Organization Quality of Life (QoL WHO) whichdescribed physical health, psychological, social relationships, and environment. In general the qualitylife of renal failure patient underrgo hemodialysis in bad category was 55.9% (19 patients). Thiscondition was due to a chronic disease and its complications potentially stressors including renalfailure patient. Stressors that arise caused by environmental conditions, psychological state, and physicalhealth. The study recommended that health services were expected to provide comfortability, improvemaintenance functions, improve interpersonal relationships, and counseling.

scholarly journals Assessment of quality of life in type 2 diabetes mellitus patients using World Health Organization quality of life-BREF questionnaire and appraisal of diabetes scale - a cross-sectional study

2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Supriya Patil ◽  
Yamini Patil ◽  
Sanjay Kumar Patil
Keyword(s):  
Quality Of Life ◽  
Cross Sectional Study ◽  
World Health ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean ◽  
Health Organization

Diabetes is a chronic metabolic disorder that disturbs the quality of life (QOL) of patients. Therefore, evaluation of diabetes- related QOL could be a key outcome measure for its management. This study assessed the QOL in type 2 diabetes mellitus (T2DM) patients using the World Health Organization (WHO) quality of life (QOL)˗BREF questionnaire and disease-specific appraisal of diabetes scale (ADS). In this cross-sectional study, 520 T2DM patients were included. Patients’ demographic data, clinical information was collected through interviews, and the WHOQOL-BREF instrument and ADS were used for the QOL of patients. Statistical analysis was performed by using R software (Version 3.6.0). The mean ADS scores were lower in controlled diabetic subjects (18.50±3.08) and higher in uncontrolled diabetic subjects (19.29±2.73) (P<0.05). For WHOQOL-BREF, the mean scores for all the domains (overall general health, physical, psychological, social, and environmental) were significantly higher in controlled diabetic subjects (P<0.001). In addition, the age, duration of diabetes, associated comorbidities, treatment, and HbA1c level of patients showed a highly significant correlation with WHOQOL-BREF (P<0.001). Diabetic patients had poor-to-average QOL. Therefore, public health measures and education of diabetic patients are essential to create more awareness for improving the QOL of T2DM.

Quality of Life of Parents of Children with Type I Diabetes Mellitus, Baghdad 2017

2021 ◽  
Vol 17 (2) ◽  
pp. 107-114
Author(s):  
Sadik Jaafar Shukur ◽  
Wijdan Akram Hussein ◽  
Nazik L. Kadhum
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
World Health Organization ◽  
World Health ◽  
Type I ◽  
Healthy Children ◽  
Social Domain ◽  
Chronic Hyperglycemia ◽  
Health Organization

Background: Diabetes is defined by the World Health Organization as a metabolic disorder characterized by chronic hyperglycemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both. Families are co-regulating systems in which the stresses and strains of one family member affect the well-being of another member of the family. Caregivers of children with chronic illness report experiencing more parental stress than parents of healthy children. Objective: A descriptive cross-sectional study had been conducted in four centers of endocrine diseases in Baghdad city and data was collected by using self-administered questionnaire regarding quality of life adapted from World Health Organization. The study was conducted on six hundred participants. Data analysis was done by using frequency, percentage and mean and analytical statistics using Chi Square test.  P value less than 0.05 was considered statistically significant. Results: The study showed that social domain had the highest mean score of (51.1) and that environmental domain had the lowest mean score of (38.9). The physical domain’s mean score was (40.2), while mean score of psychological domain was (46.2). The study reported that mothers of children with type 1 diabetes mellitus were more affected than fathers in physical, psychological and environmental domains. There was no difference between mothers and fathers in social domain of quality of life. Conclusion: It was concluded from the study that parents of diabetic children had generally poor quality of life that merits further investigations.

Association of traditional complementary and alternate medicine usage with quality of life of diabetic patients in a Malaysian tertiary hospital

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chinedum Ogbonnaya Eleazu ◽  
Aniza Abd Aziz ◽  
Tay Chuu Suen ◽  
Lam Chun-Hau ◽  
Chin Elynn ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetic Foot ◽  
Heart Diseases ◽  
Tertiary Hospital ◽  
Foot Ulcers ◽  
Diabetic Patients ◽  
Diabetic Foot Ulcers ◽  
Content Type ◽  
Significant Difference

Purpose This study aims to design to assess the traditional, complementary and alternate medicine (TCAM) usage and its association with the quality of life (QOL) of Type 2 diabetic patients in a tertiary hospital (Hospital Universiti Sains Malaysia) in Malaysia. Design/methodology/approach A total of 300 respondents included in this study were divided into the following two major categories: TCAM (34.33% of respondents) and non-TCAM users (65.67% of the respondents), respectively. The mean ages of the respondents were 59.3 ± 10.2 for the TCAM users and 57.7 ± 12.0 for the non-TCAM users. Findings A greater percentage of non-TCAM users reported poor control of diabetes (14.7%) and blood glucose (55.8%) compared with the TCAM users (9.7% and 48.5%, respectively). Further, the diabetic patients on TCAM reported lower rates of coma, stroke and kidney problems but higher rates of diabetic foot ulcers, heart diseases and retinopathy than the non-TCAM users. Additionally, the diabetic patients with TCAM usage had a significantly better physical (p = 0.02) and overall (p = 0.03) qualities of life compared to the non-TCAM users. However, psychological, social and environmental health did not show any significant difference. Originality/value The prevalence of TCAM usage among diabetic patients was lower than in other comparable studies. Diabetic patients on TCAM reported lower rates of coma, stroke and kidney problems but higher rates of diabetic foot ulcers, heart diseases and retinopathy than the non-TCAM users. Further, diabetes patients on TCAM reported better QOL compared to non-TCAM users especially in terms of physical health.

scholarly journals Quality of Life in Type 2 Diabetic Patients

2014 ◽  
Vol 31 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Ana Spasić ◽  
Radmila Veličković Radovanović ◽  
Aleksandra Catić Đorđević ◽  
Nikola Stefanović ◽  
Tatjana Cvetković
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Short Form ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Significant Difference ◽  
Type 2 Diabetic

Summary The presence of diabetes mellitus leads to a decrease in life quality in all domains. The aim of our study was to evaluate the quality of life (QOL) in diabetic patients and the factors affecting it in type 2 diabetic mellitus patients. We conducted a cross-sectional study that included 86 patients with type 2 diabetes mellitus, in the territory of the City of Niš. Health-related QOL of patients was measured using the short form survey (SF-36) that produces an 8-scale health profile. The average duration of diabetes was 12.76±8.08 years. The best QOL in all areas was observed in patients diagnosed with diabetes less than 10 years ago p<0.05) and younger than 65 years. Male respondents perceived a better QOL compared to women, especially in the vitality and pain domains. The patients with comorbidity (93.64%) had lower QOL score in all domains. There was no significant difference in the QOL of patients with diabetes compared to the level of education. High QOL represents an ultimate goal and an important outcome of all medical interventions in diabetic patients. Factors related to lower QOL included: older age, female gender, and existence of comorbidities. Uncontrolled diabetic patients had a lower QOL than controlled diabetics.

Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

2015 ◽  
Vol 32 (3) ◽  
pp. 308-331 ◽  
Author(s):  
Prasanth S. Poduval ◽  
V. R. Pramod ◽  
Jagathy Raj V. P.
Keyword(s):  
Action Plan ◽  
Structural Modeling ◽  
Total Productive Maintenance ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Organization Management ◽  
Inhibiting Factors ◽  
Quality Of Products ◽  
The Relationship

Purpose – The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM. Design/methodology/approach – The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors. Findings – Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers. Practical implications – By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner. Originality/value – Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.

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