Discussion
The mental health of healthcare workers at the National Institute of
Hygiene and Epidemiology is generally good and steady, with just a
limited percentage of employees experiencing mental health issues during
the COVID-9 pandemic.
The following factors have a positive correlation with the mental health
of healthcare workers in the National Institute of Hygiene and
Epidemiology: the ability to complete challenges and demands; ability to
maintain interest in work and relationships; and ability to manage
emotions of healthcare workers in the National Institute of Hygiene and
Epidemiology. If the medical personnel at the National Institute of
Hygiene and Epidemiology improves their competence in these four areas,
their mental health will improve as well.
The predictability of these 3 factors to the quality of mental health of
healthcare workers in National Institute of Hygiene and Epidemiology is:
The ability to complete challenges and difficulties is the best
predictor of quality of mental health belong to healthcare workers in
National Institute of Hygiene and Epidemiology; The ability to maintain
interest, work, and ability of emotional management have equal chance to
predict the quality of mental health of healthcare workers in National
Institute of Hygiene and Epidemiology. The forecast rate exceeding 50%
(51.4%) is considered reliable.
The quality of mental fitness of healthcare workers at the National
Institute of Hygiene and Epidemiology is negatively correlated with the
sleep disturbance factor of healthcare workers in the National Institute
of Hygiene and Epidemiology. The predictability, in particular, is
exceptionally high. This shown that if the sleep quality of healthcare
professionals at the National Institute of Hygiene and Epidemiology is
not assured, the mental health of healthcare workers at the National
Institute of Hygiene and Epidemiology will suffer considerably. A
forecast rate of higher than 50% also indicates the forecast’s
reliability. The fit of the above prediction model is very high (with
R2 = 1) and significant statistical meaning.