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

Abstract

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.

Investigation of the potential relationship between depression, diabetes knowledge and self-care management with the quality of life in diabetic patients – an analytical study

“…Self-care management as a strategy to cope with chronic stress enhances the healthy status (Nadrian et al, 2011). The ability of diabetic patients to learn and apply the self-care skills such as blood glucose monitoring and choosing a healthy diet helps them to control the disease complications (Ajmera and Jain, 2019) and enhance the quality of life (Mahmoudi, 2006). Figure 1 shows the overall interaction between health-related quality of life variables assessed in this study and its outcomes in diabetic patients.…”

Critical success factors determining performance of cross‐border acquisition: Evidence from the African telecom market

“…The TISM (Sushil, 2012), an advanced hierarchical framing, is a new expansion of interpretive structural model (ISM; Warfield, 1974). Many researchers have applied this technique in a different domain of study (Ajmera & Jain, 2019; Dhir & Dhir, 2020; Mohanty, 2018; Singh, Sinha, Das, & Sharma, 2019; Srivastava & Sushil, 2013). A set of factors is used to build the TISM in a particular study (Rajesh, 2017; Singh, Kumar, Gupta, & Madaan, 2018; Vaishnavi, Suresh, & Dutta, 2019).…”

“…Many researchers have applied this technique in a different domain of study (Ajmera & Jain, 2019;Mohanty, 2018;Singh, Sinha, Das, & Sharma, 2019;Srivastava & Sushil, 2013). A set of factors is used to build the TISM in a particular study (Rajesh, 2017;Singh, Kumar, Gupta, & Madaan, 2018;Vaishnavi, Suresh, & Dutta, 2019).…”

Assessment of Shopping Mall Customers’ Experience through Criteria of Attractiveness in Tier-II and Tier-III Cities of India: An Exploratory Study

“…Similarly, Singh et al (2017) developed a model for green supply chain management which when implemented can change the current practices of fertilizer industry. It has found wide applicability in processing and structuring details related to any issue or activity such as career planning, process re-engineering, operations problem, strategic planning, product design, process design, complex technical problems, human resources, financial decision making, electronic commerce, healthcare, lean manufacturing, cloud computing adoption and competitive analysis (Faisal et al, 2006;Sahney et al, 2010;Attri et al, 2017;Sushil, 2018;Khaba and Bhar, 2018;Raut et al, 2018;Chaple et al, 2018;Ajmera and Jain, 2019). In retailing context, Venkatesh et al, (2015) used ISM in identifying supply chain risk variables in Indian apparel retail chain.…”