understanding, response, being busy due to heavy
workload. Second, organizational support factors
consist of standard operating procedures, rewards,
sanctions, training activities and adequate facilities /
infrastructure support, third, behavioral factors
consist of trust, confidence and other social support.
Another important thing is the role of the prevention
of infection control (PIC) committee in increasing
understanding to improve nurse compliance in the
application of hand washing for hand hygiene (Pittet,
2001; David, 2010; Turnip et al, 2020; Wijaya et al,
2019).
Karadag Research (2016); Jemal (2018); White
(2019); and Gon (2020) state knowledge, friend
suggestions, perceptions and beliefs, practices, and
consumables as determinants of hand hygiene.
Furthermore Shobowale research (2016); Kupfer
(2019): that the availability of facilities (easy access)
can improve hand washing hygiene.
Sands (2010), using the Behavior Centered
Design (BCD) theory related to behavioral change
interventions in improving hand washing compliance,
namely reporting hand hygiene, implementing hand
washing by peers, increasing interaction with patients
and other staff members, reducing stress, busyness,
and burdens cognitive related to the task.
Farhaoudi (2016) reviewed the WHO Multimodal
Hand Hygiene Improvement Strategy consisting of:
1) system changes to ensure access of health care
workers to hospital facilities with an approach to the
availability of alcohol-based hand washing facilities
in the service rooms, 2) training and continuing
education, 3) evaluation and feedback, 4) reminders
at work, and 5) providing safety climate through IPC
agencies. After intervention by carrying out and
providing a Strategy to Improve Hand Hygiene in the
service room, where the proportion of hand rubbing
behavior (18.1%) and hand washing (11.5%), there
was an increase in hand rubbing (18.1%) and hand
washing 11.5%) was much better among health
workers (p 0.001 <0.05). Zhao (2018) examines 5
aspects of the theory of Diffusion of Innovation
Theory (DIT): relative advantages, compatibility,
simplicity, testability, and observability significantly
influence hand washing practices.
A similar study by Boyce and Pittet (2011) states
that one of the obstacles in non-compliance with
washing hands is the difficulty of accessing a place to
wash hands or other tools used to wash hands. Ease
of accessing supplies of tools for washing hands,
sinks, soap or alcohol jell is very important to make
compliance according to standards. Other research
was conducted by Shobowale (2016); and Kupfer
(2019): stating the availability of hand washing
facilities or the ease of gaining access to hand
washing affects the cleanliness of hand washing.
Nurse hand washing compliance audit results at
the Royal Prima Hospital Medan in 2018 by the PIC
Committee with 53.3% doctor compliance, 47.9%
nurses and other health workers 35.6%.
Compliance is not in accordance with Minimum
Service Standards> 85%. Research is important
because hand hygiene is the duty and responsibility
of nurses and is cheap and easy to do to avoid
infection in hospitals, it only takes a strong desire and
willingness to implement. But in reality, this habit has
not gone according to expectations.
Previous studies generally used quantitative
research designs or types, mix methods, semi-
experiments with cross sectional accuracy. Theory
used by Behavior Centered Design (BCD) by Sands
(2010); Diffusion of Innovation Theory (DIT) by
Zhao (2018); Multimodal Hand Hygiene
Improvement Strategy by Farhaoudi, 2016) and other
behavioral theories. Statistical tests use correlation
and comparison (t-test) with intervention.
This research is a quantitative research. In this
study the focus is more on the determinants of hand
washing hygiene developed by Pittet. The study
results have contributed a lot to WHO and certainly
to different loci. This study uses a survey with a cross
sectional approach (data collection uses a
questionnaire and a checklist) which the observations
were simultaneously carried out. The variables were
measured after data collections. The data were
analyzed with univariate, bivariate and multivariate
(multiple logistic regression) methods to prove the
hypothesis.
2 METHOD
The study was conducted using inpatient nurses as
respondents in Royal Prima Hospital Medan as many
as 319 people and a sample of 113 nurse respondents
using a different hypothesis test proportion of one
sample. The sample technique uses simple random
sampling through lottery. Data collection by
distributing closed questionnaires and observations
for 30 days in March 2020.
The questionnaire using the Guttman scale
consists of knowledge totalling 10 with alternative
answers (true or false) grouped (good = 2 and not
good = 1), attitudes of 10 questions (agree and
disagree) categorized (positive = 2 and negative = 1),
roles PIC 15 statements (yes and no) are grouped
(support = 2 and less support = 1). Observation of the
completeness of facilities and infrastructure with a