Knowledge, Attitudes, and Self-Reported Practices of Hand Hygiene among House Officers at Nay-Pyi-Taw General Hospital: A Cross-Sectional Descriptive Study
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Authors
Objective: This study aims to
evaluate the knowledge, attitudes, and self-reported practices of hand hygiene
among 65 house officers at Nay-Pyi-Taw General Hospital, Myanmar, to identify
gaps, minimize healthcare-associated infections (HAIs), and ensure patient
safety within Myanmar's healthcare system.
Methods: A cross-sectional
descriptive study was conducted from February to April 2025, involving 65 house
officers at Nay-Pyi-Taw General Hospital, Myanmar. Data were collected through
structured, self-administered questionnaires that assessed participants'
knowledge, attitudes, and self-reported hand hygiene practices. Statistical
analysis employed independent samples t-test and one-way ANOVA to identify
significant differences among demographic groups and institutional factors.
Assumptions of normality and homogeneity of variance were checked using
Shapiro-Wilk and Levene's tests, respectively. Post-hoc analysis with False
Discovery Rate (FDR) correction was applied for multiple comparisons. Effect
sizes (Cohen's d and eta-squared) were calculated for all significant findings.
Results: All participants (100%)
were aware of the role of hand hygiene in infection prevention, with 70.8%
correctly recognizing that both cold and hot water can be used for hand
washing. However, only 9.2% identified wrist washing as an important practice.
Regarding attitudes, 86.1% acknowledged the importance of hand hygiene, and
86.2% supported the availability of hand gels in public spaces. In practice,
over 95% of respondents consistently reported washing their hands after using
toilets and handling animals. Significant differences in practice scores were
observed among universities (p = 0.016, η² = 0.24), and married individuals
demonstrated higher adherence (p < 0.001, r = 0.46). Despite high
self-reported compliance, discrepancies between perceived and actual practices
suggest ongoing challenges.
Conclusion: Although knowledge and
attitudes towards hand hygiene are mostly favorable, continuing technical and
infrastructural issues persist. To enhance compliance, targeted training,
infrastructure improvement, and routine monitoring are recommended.
Strengthening these aspects is key to minimizing healthcare-associated
infections and ensuring patient safety within Myanmar's healthcare environment.
1. Introduction
Healthcare-associated
infections (HAIs) remain a significant global health concern, contributing to
patient morbidity and mortality with increasing healthcare costs. In
high-income nations such as the United States, estimates suggest that HAIs affect
between 1.7 and 23.6 per 100 hospital admissions, resulting in considerable
morbidity, mortality, and economic costs, approximated at over $28 billion
annually and about 80,000 deaths. [1] Conversely,
developing countries face a disproportionately higher burden, with prevalence
rates reaching up to 25%, compared to 5-10% in developed nations. [2] Factors contributing to this disparity include
shortages of trained personnel, limited access to appropriate infection control
infrastructure, and insufficient implementation of preventive protocols. In
contexts like Myanmar, where health systems are resource-constrained, these
issues are compounded, emphasizing the urgent need for targeted interventions
to mitigate the prevalence of HAIs and improve patient safety.
Hand hygiene (HH) is
recognized worldwide as a fundamental and cost-effective measure to prevent
HAIs. It serves as a critical barrier against the transmission of pathogenic
microorganisms such as methicillin-resistant Staphylococcus aureus (MRSA), Klebsiella
spp., Clostridium difficile, and other Gram-negative bacteria that can colonize
healthcare workers' hands and facilitate cross-infection. [3,4] Despite the well-established efficacy of
proper HH, compliance rates often remain disappointingly low, particularly in
resource-limited settings where infrastructural deficiencies and behavioral
factors hinder routine practice. Hand hygiene adherence rates among healthcare
workers vary between 40% and 89% globally, with even lower compliance in
certain settings. [5,6] Research
demonstrates that consistent adherence to hand hygiene protocols significantly
reduces the incidence of HAIs, shortens hospital stays, and decreases mortality
rates, underscoring its vital role in patient safety and infection control
strategies. [7] Nonetheless, multiple
barriers, including workload pressures, lack of availability of hand hygiene
supplies, and cultural attitudes, impede optimal compliance among healthcare
workers (HCWs). [8,9,10]
The World Health
Organization (WHO) introduced the "Five Moments for Hand Hygiene"
framework in 2009 to standardize and promote optimal hand hygiene practices
among HCWs. These five critical moments include: (1) before patient contact,
(2) before aseptic procedures, (3) after exposure to body fluids, (4) after
patient contact, and (5) after contact with patient surroundings. [11] Studies across different healthcare settings
reveal that compliance with these five moments varies considerably, with
notably lower adherence before patient contact and aseptic tasks compared to
after exposure to body fluids. This discrepancy often stems from perceived
lower risk or time constraints during routine interactions. The availability
and strategic placement of alcohol-based hand rubs (ABHR) have been shown to
significantly improve compliance, as they are more accessible and less
time-consuming than traditional handwashing with soap and water. [12] The WHO emphasizes that continuous education,
monitoring, and feedback are crucial components of promoting sustained
adherence to the five moments, thereby reducing HAIs. [13]
The COVID-19 pandemic
brought renewed global attention to hand hygiene as a critical measure for
controlling infectious disease transmission. Despite widespread awareness
campaigns and reinforced guidelines, compliance with HH protocols during the
pandemic has been inconsistent, especially in resource-limited settings. For
instance, in Nigeria, a study reported a compliance rate of approximately 31%,
which is below the threshold necessary for effective infection prevention. [1] Similar observations have been made in other
regions, indicating persistent gaps between knowledge and actual practice. [14] The pandemic highlighted that infrastructural
inadequacies, such as limited availability of hand sanitizers and sinks, along
with increased workload and stress, hinder sustained adherence. Moreover,
behavioral factors like complacency or underestimation of risk continue to
influence practice. While the pandemic underscored the importance of HH, it also
exposed vulnerabilities in health systems' capacity to uphold rigorous
infection control standards during crises. Efforts to improve compliance during
this period included enhanced training, increased supply of sanitizers, and
institutional campaigns, but challenges remain in translating awareness into
consistent behavior change.
Barriers to effective
hand hygiene practice are multifaceted, encompassing infrastructural,
organizational, and individual factors. A significant infrastructural barrier
is the limited access to adequate hand hygiene facilities, such as sinks, hand
sanitizers, and a reliable water supply, particularly in rural or underfunded
healthcare settings. [15] Studies indicate
that poorly positioned wash stations and shortages of alcohol-based hand rubs
contribute to non-compliance. [16] Organizational
challenges include high patient-to-staff ratios, excessive workloads, and
insufficient staffing, which reduce the time HCWs can dedicate to HH during
routine care. Behavioral barriers, such as lack of knowledge, negative
attitudes, and under-appreciation of the risks associated with poor HH, also
play a critical role. [8] Moreover, the
absence of regular training, monitoring, and feedback mechanisms further
diminishes adherence rates. Healthcare workers often lack role models or
adequate reinforcement, which hampers the development of a safety culture.
Physical environment design, such as the placement of sinks and dispensers,
also influences compliance levels. Addressing these barriers requires a
multifaceted approach that includes infrastructural improvements, ongoing
education, behavioral interventions, and organizational policy changes to
foster a culture of safety and accountability. [17]
Medical students,
particularly those in their internship or house officer phase, occupy a crucial
position in the healthcare system, often serving as the first point of contact
for patients and being directly involved in numerous clinical procedures. Their
behaviors and perceptions regarding hand hygiene are critical because they form
the foundational habits for their professional practices in the long term.
Ensuring they possess adequate knowledge, positive attitudes, and consistent
hand hygiene practice is essential to foster a culture of safety and professionalism
in healthcare services. [18]
Most existing
literature predominantly focuses on developed countries or specific healthcare
settings, leaving a research gap regarding developing nations. [19] This study aims to assess the knowledge,
attitudes, and practices of hand hygiene among house officers at Nay-Pyi-Taw
General Hospital, aiming to enhance hand hygiene adherence, reduce HAIs, and
foster a sustainable culture of infection prevention among future healthcare
professionals in Myanmar.
2. Materials and
Methods
2.1. Study Design and
Setting
This research adopted a
descriptive cross-sectional survey design at Nay-Pyi-Taw General Hospital, a
1000-bedded tertiary care facility, over three months, from February to April
2025.
2.2. Study Population
The population
comprised house officers who were undergoing internship training at the
hospital during the study period. House officers, also known as medical interns
or first-year postgraduate trainees, are medical graduates who have completed
their undergraduate medical education and are undergoing a one-year compulsory
rotating internship in various clinical departments. They function as junior
doctors under supervision, directly involved in patient care, clinical
procedures, and ward responsibilities.
Inclusion criteria were: (1)
current internship status, (2) active participation in clinical duties, and (3)
consent to participate. Exclusion criteria included those on leave or
unavailable during data collection.
2.3. Sampling and
Sample Size
A total enumeration
sampling method was used, encompassing all eligible house officers during the
data collection period. The total number of eligible house officers during the
study period was 68. Of these, 65 participated, yielding a response rate of
95.6%. Three individuals were excluded due to being on leave during data
collection (n=2) or declining to participate (n=1). The final sample of 65
participants was deemed sufficient to achieve the study objectives and ensure
representation across various demographics.
2.4. Data Collection
Prior to data
collection, the purpose of the study was explained to participants, and
informed consent was obtained. Participants completed the questionnaires
anonymously and voluntarily. Data were gathered through structured
self-administered questionnaires, developed in alignment with WHO standards for
hand hygiene assessment. Completed questionnaires were collected immediately to
prevent data loss and to ensure confidentiality.
The questionnaire was divided into
four sections:
- Section A: Socio-demographic data
(age, gender, marital status, university, workload)
- Section B: Knowledge assessment
(8 true/false questions)
- Section C: Attitude assessment
(10 statements rated on a 5-point Likert scale)
- Section D: Practice assessment
(12 statements rated on a 5-point Likert scale)
2.5. Questionnaire
Development and Validation
The questionnaire was
developed based on WHO hand hygiene guidelines and validated instruments used
in previous studies [20,21]. Content validity was established through review by
three experts in infectious disease control and public health. A pilot study
was conducted with 15 house officers at a different hospital to assess clarity,
comprehensibility, and internal consistency. Cronbach's alpha coefficients were
0.78 for the knowledge section, 0.82 for the attitude section, and 0.85 for the
practice section, indicating acceptable internal consistency. Minor
modifications were made to the question wording based on pilot feedback. The
full questionnaire is provided as Supplementary Material.
2.6. Variables and
Measurement
- Independent variables:
Socio-demographic factors (age, gender, marital status, university, workload)
- Dependent variables: Levels of
knowledge, attitude, and practice regarding hand hygiene
2.7. Scoring System
- Knowledge: Each correct answer
scored as 1; the total score ranged from 0 to 8. Correct
responses were classified as "correct," and incorrect or "don't
know" responses as "incorrect."
- Attitude: Responses scored from 1
(Strongly Disagree) to 5 (Strongly Agree); total attitude score ranged from 10
to 50.
- Practice: Responses scored
similarly; total practice score ranged from 12 to 60.
2.8. Statistical
Analysis
Data from
questionnaires were coded and checked for accuracy and completeness. Data were
entered into SPSS version 26.0 for analysis. Descriptive statistics, including
frequencies, percentages, mean, standard deviation, median, and interquartile
ranges (IQR), were used to summarize demographic data and KAP scores.
Assumption checking: Prior to
parametric testing, assumptions of normality were assessed using the
Shapiro-Wilk test, and homogeneity of variances was assessed using Levene's
test. For groups with sample sizes <30, normality was assessed using Q-Q
plots and the Shapiro-Wilk test. The assumption of homogeneity of variances was
met for most comparisons (p>0.05), except for comparisons involving the
married group (n=4), where the assumption was violated.
Group comparisons: An independent
samples t-test was conducted to compare means between two groups, where
assumptions were met. For comparisons involving groups with violated
assumptions, the non-parametric Mann-Whitney U test was used as a robust
alternative. One-way analysis of variance (ANOVA) was used to compare means
across three or more groups where assumptions were met. For university
comparisons, the Kruskal-Wallis test was employed as a non-parametric
alternative due to unequal group sizes and potential variance heterogeneity.
Multiple comparisons: To control
for Type I error inflation due to multiple comparisons, the False Discovery
Rate (FDR) correction using the Benjamini-Hochberg procedure was applied to all
post-hoc comparisons. Adjusted p-values (q-values) were reported alongside raw
p-values.
Effect sizes: Cohen's d was calculated
for t-test comparisons, and eta-squared (η²) was calculated for ANOVA
comparisons to quantify the magnitude of observed effects. For significant
ANOVA results, post-hoc pairwise comparisons with FDR correction were
performed.
Missing data: Complete case
analysis was employed, as there were no missing data for any of the
questionnaire items. All 65 participants provided fully completed
questionnaires.
For all tests conducted in this
study, a p-value <0.05 was considered statistically significant. Effect
sizes were interpreted according to Cohen's conventions (small: d=0.2, medium:
d=0.5, large: d=0.8 for t-tests; small: η²=0.01, medium: η²=0.06, large:
η²=0.14 for ANOVA).
2.9. Ethical
Considerations
Ethical approval for
this study was obtained from the Ethics Review Committee of Nay-Pyi-Taw General
Hospital. Permission to conduct the research was also granted by the hospital
administration. Written informed consent was obtained from all participants
after providing comprehensive information about the study objectives, voluntary
participation, anonymity, and confidentiality of responses. Participants were
assured that their decision to participate or not would not affect their
training or professional standing. Data were anonymized and stored securely,
accessible only to the research team.
3. Results
3.1.
Socio-demographic Characteristics of Participants
Table 1 describes the
socio-demographic status of participants.
|
Table 1. Socio-demographic characteristics of the participants in the study |
||
|
Characteristics |
No. of respondents
(Percent) |
|
|
Gender |
Female |
40 (61.5) |
|
Male |
25 (38.5) |
|
|
Age |
<25 years |
39 (60%) |
|
≥25 years |
26 (40%) |
|
|
Workload |
Busy |
45 (69.2) |
|
Not busy |
20 (30.8) |
|
|
Marital status |
Single |
61 (93.8) |
|
Married |
4 (6.2) |
|
|
University |
University of
Medicine (1) |
5 (7.7) |
|
University of
Medicine (2) |
8 (12.3) |
|
|
University of
Medicine Mandalay |
19 (29.2) |
|
|
University of
Medicine Magway |
23 (35.4) |
|
|
University of
Medicine Taunggyi |
10 (15.4) |
|
3.2. Knowledge of
Hand Hygiene
Assessment of knowledge
was based on eight true/false questions aligned with WHO standards. Table 2
summarizes the responses regarding key aspects of hand hygiene knowledge.
|
Table 2. Description of Knowledge of House Officers on Hand Washing |
|||
|
No. |
Question |
Number of house
officers with correct answer (percent) |
Number of house
officers with wrong answer (percent) |
|
1 |
Cold water should be
used for hand washing |
46 (70.8) |
19 (29.2) |
|
2 |
Hot water should be
used for hand washing |
45 (70.8) |
19 (29.2) |
|
3 |
During hand washing,
it doesn’t need to remove watches and hand wearing |
28 (43.1) |
37 (56.9) |
|
4 |
When we do hand
washing, it doesn’t necessary to wash at our wrist area |
6 (9.2) |
59 (90.8) |
|
5 |
When we doing hand
washing with water and soap, it should take about 30 seconds |
30 (46.2) |
35 (53.8) |
|
6 |
After hand washing,
our hand should be dried |
34 (52.3) |
31 (47.7) |
|
7 |
Correct hand washing
maneuver can prevent transmitting of diseases |
65 (100) |
0 (0) |
|
8 |
Efficient hand
washing practice is personal hygiene |
65 (100) |
0 (0) |
|
Table 3. Comparison of Mean Scores of Knowledge Across Demographic Characteristics and
Institutions |
|||||||
|
Category |
Mean score |
Standard Deviation |
Median |
IQR |
Test statistic |
p-value |
Effect size |
|
Age group |
|||||||
|
<25 years |
4.90 |
1.447 |
5.00 |
2 |
t= -0.977 |
0.333 |
d=0.24 |
|
≥25 years |
5.27 |
1.589 |
5.50 |
2 |
|
|
|
|
Gender |
|||||||
|
Female |
5.03 |
1.544 |
5.00 |
2 |
t= -0.143 |
0.887 |
d=0.04 |
|
Male |
5.08 |
1.470 |
5.00 |
2 |
|
|
|
|
Workload |
|||||||
|
Busy |
5.02 |
1.454 |
5.00 |
2 |
t= -0.190 |
0.849 |
d=0.05 |
|
Not Busy |
510 |
1.651 |
5.00 |
3 |
|
|
|
|
Marital status |
|||||||
|
Single |
5.11 |
1.518 |
5.00 |
2 |
U=82.5 |
0.153a |
r=0.18 |
|
Married |
4.00 |
0.816 |
4.00 |
2 |
|
|
|
|
University |
|||||||
|
UM1 |
4.80 |
1.643 |
4.00 |
3 |
|
|
|
|
UM2 |
4.38 |
1.061 |
4.50 |
2 |
F=1.553 |
0.195b |
η²=0.06 |
|
Mandalay |
4.74 |
1.284 |
5.00 |
2 |
|
|
|
|
Magway |
5.22 |
1.565 |
5.00 |
2 |
|
|
|
|
Taunggyi |
5.90 |
1.792 |
6.00 |
3 |
|
|
|
|
aMann-Whitney U test
used due to small group size (n=4) bANOVA; η² = 0.06
(medium effect size) UM1 = University of
Medicine (1), UM2 = University of Medicine (2) |
|||||||
3.3. Attitudes
Towards Hand Hygiene
Attitudes were
evaluated through ten items rated on a 5-point Likert scale, with higher scores
indicating more positive perceptions. Table 4 presents the frequency
distribution of attitude responses.
|
Table 4. Frequency
Distribution of Participant's Attitude Level |
||||||
|
No |
Question |
Frequency
(Percent) |
||||
|
1 |
2 |
3 |
4 |
5 |
||
|
1 |
Good hand washing is
important for health and is really necessary |
0(0) |
1(1.5) |
8(12.3) |
48(73.8) |
8(12.3) |
|
2 |
Regular hand washing
does not interfere daily routine matters |
0(0) |
0(0) |
12(18.5) |
45(69.2) |
8(12.3) |
|
3 |
According to
scientific researches about hand hygiene, hand washing has benefits |
0(0) |
0(0) |
15(23.1) |
40(61.5) |
10(15.4) |
|
4 |
Updating knowledge
regarding handwashing is recommended |
0(0) |
0(0) |
13(20.0) |
41(63.1) |
11(16.9) |
|
5 |
I have to change my
hand hygiene practice depend on newer health policy and research findings |
0(0) |
0(0) |
26(40.0) |
31(47.7) |
8(12.3) |
|
6 |
I had been practiced
hand hygiene more frequently since the Covid-19 era |
0(0) |
1(1.5) |
13(20.0) |
44(67.7) |
7(10.8) |
|
7 |
I do prefer hand
washing by water & soap than Hand gel |
4(6.2) |
19(29.2) |
13(20.0) |
24(36.9) |
5(7.7) |
|
8 |
Hand gels should be
easily assessable at public area |
0(0) |
0(0) |
9(13.8) |
51(78.5) |
5(7.7) |
|
9 |
Regular good hand
washing can prevent some harmful microbes |
0(0) |
0(0) |
11(16.9) |
50(76.9) |
4(6.2) |
|
10 |
People had more
attentions in hand washing since Covid-19 pandemic |
0(0) |
0(0) |
8(12.3) |
52(80.0) |
5(7.7) |
|
1=Strongly Disagree,
2=Disagree, 3=Neutral, 4=Agree, 5=Strongly Agree |
||||||
|
Table 5. Comparison of Mean Scores of Attitudes Across Demographic Characteristics and
Institution |
|||||||
|
Category |
Mean score |
Standard Deviation |
Median |
IQR |
Test statistic |
p-value |
Effect size |
|
Age group |
|
|
|
|
|
|
|
|
<25 years |
38.46 |
4.778 |
39.00 |
5 |
t=0.286 |
0.776 |
d=0.07 |
|
≥25 years |
38.12 |
4.786 |
39.50 |
5 |
|
|
|
|
Gender |
|
|
|
|
|
|
|
|
Female |
38.00 |
5.008 |
38.00 |
5 |
t= -0.690 |
0.492 |
d=0.17 |
|
Male |
38.84 |
4.346 |
40.00 |
5 |
|
|
|
|
Workload |
|
|
|
|
|
|
|
|
Busy |
38.64 |
4.914 |
40.00 |
5 |
t=0.817 |
0.417 |
0.417 |
|
Not Busy |
37.60 |
4.382 |
38.00 |
5 |
|
|
|
|
Marital status |
|
|
|
|
|
|
|
|
Single |
38.02 |
4.717 |
38.00 |
5 |
U=34.5 |
0.041a |
r=0.34 |
|
Married |
43.00 |
2.160 |
43.50 |
4 |
|
|
|
|
University |
|
|
|
|
|
|
|
|
UM1 |
41.00 |
5.196 |
40.00 |
8 |
|
|
|
|
Um2 |
38.50 |
6.503 |
40.00 |
9 |
F=1.428 |
0.219b |
η²=0.09 |
|
Mandalay |
39.47 |
5.957 |
40.00 |
9 |
|
|
|
|
Magway |
36.61 |
3.011 |
36.00 |
5 |
|
|
|
|
Taunggyi |
38.60 |
2.797 |
40.00 |
2 |
|
|
|
|
aMann-Whitney U test;
r=0.34 (medium effect size) bANOVA; η²=0.09
(medium-to-large effect size) UM1 = University of
Medicine (1), UM2 = University of Medicine (2) |
|||||||
3.4. Hand Hygiene
Practices
Practices were assessed
through twelve questions, each rated on a 5-point scale. The mean practice
score was 55.2 (SD=5.78) out of 60, indicating high self-reported compliance. Table 6 describes the frequency distribution of hand hygiene practices among participants.
|
Table 6. Frequency Distribution of Participant's Practice Level |
||||||
|
No |
Question |
Frequency
(Percent) |
||||
|
1 |
2 |
3 |
4 |
5 |
||
|
1 |
Perform hand washing
regularly before having meals |
0(0) |
0(0) |
0(0) |
5(7.7) |
60(92.3) |
|
2 |
Perform hand washing
regularly after having meals |
0(0) |
0(0) |
1(1.5) |
6(9.2) |
58(89.2) |
|
3 |
Perform hand washing
regularly after using toilets |
0(0) |
0(0) |
1(1.5) |
2(3.1) |
62(95.4) |
|
4 |
Perform hand washing
regularly before leaving hospital |
0(0) |
0(0) |
10(15.4) |
13(20.0) |
42(64.6) |
|
5 |
Perform hand washing
regularly after having contact with somebody |
0(0) |
1(1.5) |
18(27.7) |
9(13.8) |
37(56.9) |
|
6 |
Perform hand washing
regularly after leaving public transport |
0(0) |
0(0) |
17(26.2) |
14(21.5) |
34(52.3) |
|
7 |
Perform hand washing
regularly after having contact with animals |
0(0) |
0(0) |
7(10.8) |
9(13.8) |
49(75.4) |
|
8 |
Perform hand washing
regularly after having contact with animal waste materials |
0(0) |
0(0) |
0(0) |
1(1.5) |
64(98.5) |
|
9 |
Perform hand washing
regularly after having contact with masks |
0(0) |
0(0) |
9(13.8) |
20(30.8) |
36(55.4) |
|
10 |
Perform hand washing
regularly after having prepared meals |
0(0) |
0(0) |
4(6.2) |
7(10.8) |
54(83.1) |
|
11 |
Perform hand washing
regularly after having sneezing |
0(0) |
0(0) |
7(10.8) |
21(32.3) |
37(56.9) |
|
12 |
Perform hand washing
regularly after having cough |
0(0) |
0(0) |
4(6.2) |
23(35.4) |
38(58.5) |
|
1=Never, 2=Rarely,
3=Sometimes, 4=Often, 5=Always |
||||||
|
Table 7. Comparison of Mean Scores of Practices Across Demographic Characteristics and
Institution |
|||||||
|
Mean
score |
Standard
Deviation |
Median |
IQR |
Test
statistic |
p-value |
Effect
size |
|
|
Age group |
|
|
|
|
|
|
|
|
<25 years |
55.38 |
5.613 |
60.00 |
9 |
t= -0.079 |
0.937 |
0.937 |
|
≥25 years |
55.50 |
5.840 |
59.50 |
10 |
|
|
|
|
Gender |
|
|
|
|
|
|
|
|
Female |
54.95 |
6.106 |
58.50 |
9 |
t= -0.860 |
0.391 |
d=0.22 |
|
Male |
56.20 |
4.882 |
60.00 |
9 |
|
|
|
|
Workload |
|
|
|
|
|
|
|
|
Busy |
55.93 |
5.785 |
60.00 |
7 |
t=1.073 |
0.286 |
d=0.28 |
|
Not Busy |
54.30 |
5.401 |
53.50 |
9 |
|
|
|
|
Marital status |
|
|
|
|
|
|
|
|
Single |
55.13 |
5.717 |
58.00 |
9 |
U=34.0 |
<0.001a |
r=0.46 |
|
Married |
60.00 |
0.000 |
60.00 |
0 |
|
|
|
|
University |
|
|
|
|
|
|
|
|
UM1 |
58.20 |
4.025 |
60.00 |
5 |
|
|
|
|
UM2 |
52.75 |
6.585 |
51.00 |
14 |
|
|
|
|
Mandalay |
56.42 |
5.581 |
60.00 |
10 |
F=3.658 |
0.016b |
η²=0.24 |
|
Magway |
53.26 |
5.659 |
54.00 |
11 |
|
|
|
|
Taunggyi |
59.30 |
2.214 |
60.00 |
0 |
|
|
|
|
aMann-Whitney U test;
r=0.46 (medium-to-large effect size) bANOVA; η²=0.24
(large effect size) UM1 = University of
Medicine (1), UM2 = University of Medicine (2) |
|||||||
|
Table 8.
Post-hoc pairwise comparisons for university (with FDR correction) |
|||
|
Comparison |
Mean
difference |
p-value |
q-value
(FDR) |
|
UM1 vs
UM2 |
5.45 |
0.106 |
0.177 |
|
UM1 vs
Mandalay |
1.78 |
0.520 |
0.650 |
|
UM1 vs
Magway |
4.94 |
0.076 |
0.152 |
|
UM1 vs
Taunggy |
-1.10 |
0.689 |
0.765 |
|
UM2 vs
Mandalay |
-3.67 |
0.096 |
0.160 |
|
UM2 vs
Magway |
-0.51 |
0.842 |
0.842 |
|
UM2 vs
Taunggyi |
-6.55 |
0.014* |
0.047* |
|
Mandalay
vs Magway |
3.16 |
0.036 |
0.090 |
|
Mandalay
vs Taunggyi |
-2.88 |
0.153 |
0.255 |
|
Magway
vs Taunggyi |
-6.04 |
0.005* |
0.025* |
|
*Statistically
significant after FDR correction (q<0.05) |
|||
4. Discussion
This study examined the
knowledge, attitudes, and self-reported hand hygiene practices among house
officers at Nay-Pyi-Taw General Hospital. The findings reveal that while
knowledge and attitudes are generally favorable, specific gaps exist in
technical knowledge, and self-reported compliance may not fully reflect actual
practice.
4.1. Knowledge
Assessment
All participants
demonstrated awareness of hand hygiene's role in infection prevention,
consistent with findings from other studies in developing countries. [20,21] This universal awareness likely reflects
the emphasis placed on hand hygiene during medical training and the heightened
attention due to the COVID-19 pandemic. However, significant knowledge gaps
emerged regarding specific technical aspects. Only 9.2% recognized the
importance of washing the wrist area, and fewer than half correctly identified
the appropriate duration for hand washing (46.2%) or the need to remove
accessories (43.1%).
This pattern mirrors
findings from Nigeria, where only 30.7% of doctors knew the correct hand
washing duration, and fewer understood all hand hygiene indications. [20] Similarly, a study among Iranian residents
found that while basic awareness was high, detailed knowledge of proper
techniques was lacking. [21] The
near-universal awareness but poor technical knowledge suggests that while basic
messaging has been effective, detailed procedural education requires
reinforcement.
The absence of
significant demographic or institutional differences in knowledge scores
suggests a shared national curriculum or similar clinical exposure across
institutions. This uniformity implies that interventions to improve knowledge
should be implemented systematically across all training institutions rather
than targeting specific groups. However, the medium effect size for university
differences (η²=0.06) suggests that institutional variations, while not
statistically significant in this sample, may warrant further investigation in
larger studies.
4.2. Attitude
Assessment
The majority of house
officers exhibited positive attitudes toward hand hygiene, with over 86%
acknowledging its importance and supporting public availability of hand gels.
This high level of positive attitudes contrasts with findings from Iran, where
only 20% of residents answered attitudinal questions correctly [21], but aligns with Nigerian findings showing
generally favorable attitudes. [20]
The significant
difference in attitude scores based on marital status (p=0.041, r=0.34) is an
interesting observation. Married participants demonstrated more positive attitudes,
possibly reflecting increased responsibility or exposure to family health
concerns. This finding, while based on a small subgroup (n=4), suggests that
personal life circumstances may influence healthcare professionals' attitudes
toward infection control. The medium effect size (r=0.34) indicates a
potentially meaningful relationship, but given the small sample size, this
finding should be interpreted cautiously and requires validation in larger
studies.
The absence of
gender-based differences in our study contrasts with the Nigerian study, where
female doctors had significantly better attitudes [20],
suggesting that gender-related trends in attitudes may vary by cultural or
institutional context. Similarly, the lack of significant age-related
differences aligns with findings from Iran, where attitudes were consistently
poor across age groups. [21] This suggests
that while knowledge may improve with training and experience, attitudes may
require more deeply embedded behavioral interventions.
4.3. Practice
Assessment
The high self-reported
practice scores (mean=55.2/60) indicate that participants perceive themselves
as highly compliant with hand hygiene recommendations. Over 95% reported always
washing hands after toilet use and handling animals, and over 90% before and
after meals. These findings align with the known pattern of higher compliance
after "dirty" procedures and lower compliance before
"clean" procedures, as documented in WHO guidelines. [11] This pattern suggests that healthcare workers
are more likely to perform hand hygiene when they perceive an immediate risk of
contamination, compared to situations where the risk is less visible or
immediate.
However, lower
compliance was reported for routine moments such as after contact with others
(56.9% always), after sneezing (56.9%), and before leaving the hospital
(64.6%). These moments, which are critical for preventing cross-transmission in
healthcare settings, represent areas where targeted interventions could yield
significant improvements. The fact that 40% of participants were neutral about
changing their practice based on newer health policy suggests potential
complacency or lack of awareness about evolving guidelines.
The discrepancy between
self-reported and observed compliance is a well-documented phenomenon in hand
hygiene research. Omuemu et al. (2013) found a stark contrast between
self-reported good practice (48.2%) and actual observed compliance (16.7%)
among Nigerian doctors. [20] Similarly, in
Iran, none of the residents adhered fully to WHO guidelines during morning
visits, with only 3.1% following the standard eight steps of hand washing. [21] This gap between perceived and actual
practice highlights a critical challenge: awareness and positive attitudes do
not automatically translate into consistent behavior, particularly when faced
with real-world pressures such as high workload, time constraints, and
forgetfulness. [8,9,10]
4.4. Demographic and
Institutional Differences in Practice
Significant differences in practice scores were observed
across universities (p=0.016, η²=0.24), with graduates from the University of
Medicine Taunggyi and the University of Medicine (1) scoring higher than those
from the University of Medicine (2) and the University of Medicine Magway.
Post-hoc analysis with FDR correction identified significant differences
between UM2 and Taunggyi (q=0.047) and between Magway and Taunggyi (q=0.025). These institutional differences may
reflect variations in training emphasis, clinical exposure, or institutional
culture regarding infection control.
The large effect size
(η²=0.24) suggests that university affiliation explains a substantial
proportion of variance in practice scores. This underscores the importance of
standardizing hand hygiene training across all medical schools in Myanmar.
Factors that may contribute to these differences include variations in
curriculum content, quality of clinical supervision, availability of hand
hygiene facilities during training, and institutional culture regarding
infection prevention. Understanding these institutional factors could inform
targeted interventions to improve practices at lower-performing institutions.
Married participants
reported perfect practice scores (mean=60.0, SD=0.0), significantly higher than
single participants (mean=55.13, SD=5.72; p<0.001, r=0.46). While this
finding is striking, it must be interpreted with extreme caution given the very
small sample size (n=4). The medium-to-large effect size (r=0.46) suggests a
potentially meaningful relationship, but larger studies are needed to confirm whether
marital status genuinely influences hand hygiene practices or whether this
finding represents sampling bias. It is plausible that married individuals, who
may have family responsibilities, develop more disciplined personal hygiene
habits that extend to their professional practice. Alternatively, this finding
could be explained by other factors such as age or maturity that correlate with
marital status.
4.5. Barriers to
Optimal Hand Hygiene
Our findings highlight
several barriers that impede optimal hand hygiene practice. Technical knowledge
gaps, particularly regarding wrist washing, appropriate duration, and removal
of accessories, suggest that training programs need to emphasize procedural
details more explicitly. The preference for water and soap over hand gels
(36.9% preferred water and soap, compared to only 7.7% who strongly preferred
hand gels) may indicate issues with gel availability, accessibility, or
acceptance. This preference is consistent with findings from Sierra Leone,
where healthcare workers expressed concerns about the tolerability and
acceptability of alcohol-based hand rubs. [12]
Infrastructural
challenges, such as limited access to hand hygiene facilities, have been
identified as major barriers in resource-limited settings. [15,16] The fact that 40% of participants were
neutral about changing their practice based on newer health policy suggests
potential complacency or lack of awareness about evolving guidelines. This
finding aligns with research from Liberia, which identified the need for
sustainable infrastructure and behavioral interventions to maintain hand
hygiene compliance. [17]
High workload (reported
by 69.2% as "busy") likely contributes to time constraints that
discourage consistent practice during routine patient care, consistent with
findings from other studies. [8,9,10] This
is particularly concerning given that high workload periods are precisely when
the risk of infection transmission is greatest. Healthcare workers in busy
settings may prioritize immediate patient care tasks over hand hygiene,
perceiving it as an additional burden rather than an integral part of safe
care.
4.6. Implications for
Practice and Policy
The persistent gap
between knowledge and practice observed in this study suggests that effective
interventions must go beyond simple education. Multimodal strategies that
combine training with infrastructural support, behavioral reinforcement, and
organizational culture change are essential. [17] Based
on our findings, we propose the following specific recommendations:
1. Targeted training programs that
emphasize technical skills (wrist washing, proper duration, accessory removal)
alongside theoretical knowledge. These should include practical demonstrations,
simulation-based training, and regular refresher courses. Training should
address the specific knowledge gaps identified in this study, particularly the
low awareness of wrist washing importance (9.2%) and appropriate duration
(46.2%).
2. Infrastructure improvements,
including strategically placed hand hygiene facilities, adequate supply of
alcohol-based hand rubs, and reliable water access. The preference for soap and
water over gels (36.9% vs 7.7%) suggests that both options should be available.
Facilities should be positioned at points of care to minimize the time and
effort required for hand hygiene.
3. Regular monitoring and feedback
using direct observation rather than self-report, with performance data shared
constructively with staff to promote accountability. The significant
discrepancy between self-reported and observed compliance documented in other
studies [20,21] underscores the importance of objective monitoring.
4. Leadership engagement and role
modeling from senior physicians to establish a culture where hand hygiene is
prioritized and normalized. Healthcare workers often emulate the behavior of
senior colleagues, making visible commitment from leadership essential for
cultural change.
5. Standardization of training
across medical schools to address institutional variations in practice scores.
The significant differences observed among universities suggest that some
institutions may need additional support to strengthen their infection control
training.
6. Integration of hand hygiene into
the routine workflow rather than treating it as an additional task. This can be
achieved through optimized facility placement, workflow redesign, and the
incorporation of hand hygiene into standard operating procedures for clinical
care.
7. Addressing workload barriers
through adequate staffing, workload management, and the promotion of hand
hygiene as an essential patient safety measure rather than an optional extra.
4.7. Strengths and
Limitations
This study has several
strengths, including its focus on a critical population (house officers at a
major tertiary hospital), use of validated WHO-aligned instruments, and
comprehensive assessment of KAP domains. The inclusion of statistical effect
sizes and FDR correction enhances the robustness of findings. The high response
rate (95.6%) minimizes the risk of non-response bias.
However, several
limitations warrant consideration. The cross-sectional design limits causal
inferences and cannot establish temporal relationships between variables. The
small sample size (n=65) and single-center design restrict generalizability to
other healthcare settings or professional groups in Myanmar. The small subgroup
sizes (particularly married participants, n=4) necessitate cautious
interpretation of findings related to these groups. The reliance on
self-reported data introduces potential social desirability bias, where
participants may overreport compliance. The absence of observational validation
means that reported practice levels may not reflect actual behavior, and the
documented gap between self-reported and observed compliance in other studies
suggests that our findings may overestimate true compliance.
The study did not
assess all potential barriers to hand hygiene, such as skin irritation from
frequent washing or cultural factors that may influence behavior, which could
provide additional insights. The questionnaire, while pilot-tested and
validated, may not have captured all relevant aspects of hand hygiene
knowledge, attitudes, and practices in the local context. Additionally, the
study did not assess the availability and accessibility of hand hygiene
facilities, which could provide important contextual information for
interpreting practice scores.
Future research should
incorporate direct observation of hand hygiene practices to validate
self-reported findings, include qualitative methods to explore barriers in
depth, and expand to multiple centers across Myanmar to improve
generalizability. Longitudinal studies could assess the impact of targeted
interventions and track changes in knowledge, attitudes, and practices over time.
Studies comparing different training approaches and infrastructural
interventions would help identify the most effective strategies for improving
hand hygiene compliance in resource-limited settings.
5. Conclusion
This study reveals that
house officers at Nay-Pyi-Taw General Hospital generally have satisfactory
knowledge and positive attitudes towards hand hygiene, yet notable
discrepancies exist between awareness and consistent self-reported practice.
While compliance is high in critical situations, lapses occur in routine
moments, indicating the need for targeted behavioral interventions. Technical
knowledge gaps, particularly regarding wrist washing, appropriate duration, and
removal of accessories, require focused educational efforts. Institutional variations
in practice scores suggest that training should be standardized across all
medical schools in Myanmar.
The results suggest
that enhancing practical training, ensuring infrastructural support, promoting
a safety culture, and implementing routine monitoring are essential to improve
adherence. The high self-reported compliance but documented knowledge gaps
indicate that interventions should focus not only on increasing awareness but
also on translating knowledge into consistent behavior, addressing workload
barriers, and providing adequate facilities.
Future research should
incorporate longitudinal and observational methods to better understand
behavioral barriers and the impact of educational strategies. Expanding studies
to include other healthcare professionals and settings across Myanmar will aid
in developing comprehensive, culturally appropriate infection control policies.
Strengthening hand hygiene practices through multifaceted approaches is crucial
for reducing HAIs and safeguarding patient health in the hospital environment.
Given the resource constraints in Myanmar's healthcare system, cost-effective
interventions such as targeted training, strategic placement of hand hygiene
facilities, and routine feedback should be prioritized.
*Corresponding author details
May Thu Kyaw
First name – May
Thu, Surname – Kyaw
MBBS (Ygn), MRCP
(UK)
Email – maythu.mtk517@gmail.com
Mailing address – No.55, 11st
Street, Lanmadaw township, Yangon, Myanmar, 11131
Telephone - +959945945535
ORCID id - 0000-0001-8831-3690
Acknowledgment – The
authors would like to thank the Administration team of Nay-Pyi-Taw General
Hospital for allowing us to conduct our research. We are grateful to all house
officers who participated in this study for their time and cooperation.
Funding
information or grants – None
Conflict
of interest – The authors declare that there is no conflict of interest.
Data
availability statement – All necessary data are included in
the manuscript. Additional data may be available from the corresponding author
upon reasonable request.
Ethical approval for this study was
obtained from the Ethics Review Committee of Nay-Pyi-Taw General Hospital.
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