MADM for Assessment the Nurses Knowledge and their Attitudes During Covid-19 Spread in Mosul City in the Perspective of Neutrosophic Environment
Keywords:
Triangular Single-Valued Neutrosophic Number (TSVNN); Neutrosophic Structured Element; Knowledge; Attitude; Attribute; Covid-19; Nurses’ attitude; Mosul City; Health Care Workers (HCWs).Abstract
Coronavirus remains an important public health issue both nationally and globally, so all
healthcare professionals including nurses should have a good knowledge and attitudes for educating
their patients about Coronavirus and provide appropriate referral and support mechanisms to
minimize the complication of disease [1]. COVID-19 is an emerging, rapidly changing global health
challenge affecting all sectors [2, 3]. The Health Care Workers (i.e. HCWs) are not only at the forefront
of the fight against this highly infectious disease but are also directly or indirectly affected by it and
the likelihood of acquiring this disease is higher among HCWs compared to the general population
[4]. Therefore, it is importance that HCWs across the world have adequate knowledge and good
attitudes about all aspects of the disease from clinical manifestation, diagnosis, proposed treatment
and established prevention strategies.
In this manuscript, a descriptive design study was conducted from 1st April to June 2021. The
study samples consisting of 90 nurses were purposively selected in three hospitals (Al-Khansa
Teaching Hospital, Ibn Sina Teaching Hospital, and Telafer General Hospital) in Mosul city
The objectives of this study are to assess the knowledge and attitudes of nurses about the Covid19
using the multi attribute decision making technique where the data have been adapted and
reconstructed to be as triangular single-valued neutrosophic numbers (TSVNN) and tackled these
(TSVNN) into the neutrosophic structured element (NSE).
It is well known that the neutrosophic theory has flexible tools to analyze data utilized in dozens
of fields of science such as but not limited to medicine, engineering, economics, healthcare,
physics...etc. In this manuscript, the authors were very felicitous to choose an uncertain mathematical
environment named neutrosophic theory to use it as a strong method in decision making technique
to measure the performance of the nurses and their attitude in three Iraqi hospitals during a specific
period of time where Covid19 has spread and was in its peak.
The decision-making with multi-attribute criteria containing truth membership, indeterminate
membership, and falsity membership is regarded as the core of the neutrosophic decisions. The neutrosophic theory used to handle uncertain, vague, incomplete, and inconsistent data or
information which already exist in our daily life
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