Factors of Healthcare Infrastructure to withstand COVID-19 Patient Load
in India: A TISM approach
Abstract
Purpose - Purpose of this paper is to understand the
interrelationship among the factors that are critical in the treatment
of COVID-19 patients. An attempt to comprehend the essential requirement
of the medical facilities to deal with the pandemic load on healthcare
sector. Design/Methodology/Approach - Total Interpretive
Structural Modelling (TISM) technique has been used to develop the
hierarchical interrelationship among various factors of healthcare
related to COVID-19 medical facilities. Impact Matrix Cross-Reference
Multiplication Applied to a Classification (MICMAC) examines dependent
and driving power of the factors. Findings - Total ten factors
have been identified through literature review, which are essential for
the medical facilities to prepare to deal with the pandemic load.
‘COVID-19 positive cases per day’ and ‘efficiency of covid-19 testing
facility’ are factors that drives two dependent factors, ‘COVID-19 bed
availability’ and ‘oxygen demand’ while remaining factors as
intermediate linkage factors. Research Limitations/Implications
- Examination of the interrelationships among factors can support in
decision making about capacity building for COVID-19 medical facilities
in hospitals. The impact of these resources on the recovery rate of
COVID-19 patients can be studied further. The factors identification has
been done from the perspective of India and region specific factors can
be added or deleted from the TISM model. Originally/Value - An
analytic study of the literature review demonstrates the relationship
among the factors for healthcare accessibility to every COVID-19
positive patient and TISM examines “why” and “what” factors need
more consideration for the development of the healthcare infrastructure
for COVID-19 patients.