Determinant Infection Prevention and Control Practices among Nurses during COVID-19 Pandemic
RESEARCH ARTICLE

Determinant Infection Prevention and Control Practices among Nurses during COVID-19 Pandemic

The Open Public Health Journal 21 Aug 2023 RESEARCH ARTICLE DOI: 10.2174/18749445-v16-e230320-2022-193

Abstract

Background:

Most of the nurses’ duties require direct contact with patients. Nurses with a high vulnerability to COVID-19 should have the self-awareness to reduce and avoid the risk of infection transmission. It is significant to know the factors that influence the practice of infection prevention and control in nurses while treating COVID-19 patients.

Objective:

This study aims to determine the factors that influence the practice of infection prevention and control in nurses.

Methods:

This study was a descriptive survey conducted in 4 hospitals in Makassar City, South Sulawesi, Indonesia, with a sample of 360 nurses in January-June 2021. The data were analyzed using the canonical multivariate test.

Results:

This study finds a strong correlation between the self-labeling of nurses as at-risk individuals (.703) and taking actions (.707). In addition, there is a strong correlation between self-justification (.925) and obtaining remedies (.995), and there is a strong correlation between commitment (.791) and information seeking (.884) (ρ= < .05).

Conclusion:

Strengthening the commitment and self-labeling of nurses as individuals at risk of being exposed to COVID-19 is very important for infection prevention and control practices.

Keywords: COVID-19, Infection control, Infection prevention, Nurses, Determinant infection, Patients.

1. INTRODUCTION

The COVID-19 pandemic in 2020 has significantly impacted hospital care [1]. Moreover, COVID-19 has raised concerns about the healthcare sector due to the increasing number of confirmed cases worldwide [2]. One of the most critical situations of plague and new infectious diseases is preventing the spread of these agents in healthcare settings [3]; [4]. Patients or healthcare workers could be the source of infection or a susceptible host for infection. Every person or worker in health care facilities risks infection and transmission. Infection control is the responsibility of each individual and could be done by understanding the disease transmission model and knowing the basic principles of prevention and successful infection control [5].

Nurses have always played an important role in infection prevention, infection control, isolation, containment, and public health [6, 7]. Other study found that 11.2% of people work at COVID-19 referral hospitals, and 61% of them probably or certainly have been contacted with COVID-19 and suspected positive patients [8]. Meanwhile, 36.2% of health staff work on the front line handling positive COVID-19 patients, and 75.3% feel that they have been exposed to COVID-19. In addition, most health workers experience depression (52.1%), anxiety (57.6%), and insomnia (47.9%). Moreover, 73.3% of health workers have psychological disorders because they feel at risk of being exposed to COVID-19.

When nurses work in an environment with high job demands and low resources, higher job stress and greater physical and psychological stress symptoms could affect their health and prosperity [9, 10]. Nursing roles also bring psychological impacts to all members of the community; these impacts include fear of contracting pathogens, worries about family, and social isolation [11, 12]. They are at high risk of infection and experience depression, anxiety, insomnia, stigma, and frustration [13]. Nurses should adapt to work in a setting or system of care during the pandemic [14]. Maintaining the nursing staff’s mental health is pivotal to controlling infectious diseases [15, 16].

Preventive behavior is defined as individual behavior that is primarily motivated by the goal of reducing the risk of COVID-19 infection [17]. Preventing the spread of infection to and from healthcare workers and patients depends on the effective use of personal protective equipment (PPE), such as gloves, face masks, air-purifying respirators, protective eyewear, face shields, respirators, and protective clothing [18, 19]. Protecting health workers is very important to maintain continuous care and ensure that nurses do not become infected agents [20]. Based on those reasons, knowing the factors that influence the practice of infection prevention and control in nurses and how much nurses carry out those factors is significant. Therefore, this study aims to measure nurses’ infection prevention and control practices and investigate the factors that influence those factors.

2. MATERIALS AND METHODS

2.1. Study Area and Design

This research employed a descriptive survey and employed cross-sectional approach. This research was conducted in 4 government hospitals in Makassar City, South Sulawesi, Indonesia, in January-June 2021.

2.2. Participants

The samples were selected using purposive sampling techniques. These techniques selected samples from a population by considering the research objectives. Therefore, the sample could represent the population's characteristics previously known [21]. The sample size employed sample size determination in health studies. The total samples of this research were 360 nurses. The inclusion criteria for the research samples were registered nurses who had cared for COVID-19 patients in hospitals and voluntarily participated in the studies. Nurses who cared for patients with other illnesses were excluded from the study.

2.3. Research Instrument and Data Collection

The research instruments were questionnaires and observation sheets according to the number of variables. Researchers adopted six sets questionnaires of self-justification, labeling, commitment, information seeking, obtaining remedies, and taking action [22]. Self-justification category (internal: if the total score of the respondent's answers is < 56, external ≥ 56); labeling category (strong if the total score of the respondent's answers is ≥ 20, weak < 20), commitment category (strong if the total score of the respondent's answers is ≥ 7, weak < 7), information seeking category (strong if the total score of the respondent's answers is ≥ 3, weak < 3), obtaining remedies (strong if the total score of the respondent's answers is ≥ 7, weak < 7), and taking action (strong if the total score of the respondent's answers is ≥ 50, weak < 50).

The data were taken and obtained directly using questionnaires and observation sheets. The primary data were collected from nurses, preceded by asking for informed consent. The researcher considered the condition of the nurses’ activities before giving the questionnaire.

2.4. Statistical Analysis

This research employed a quantitative method with Canonical analysis to discover the greatest correlation of pairs of combined variables. Research variables include self-justification (refers to the nurse's self-justification for how to reduce the risk of COVID-19 transmission), labeling (when a nurse labels or identifies himself as a risky individual), commitment (when a nurse decides with multiple outcomes), information seeking (nurses collect information on how to modify behaviors that increase the risk of contracting COVID-19), obtaining remedies (nurses enact strategies to modify risky behavior), and taking action (nurses take precautions to reduce the risk of infection COVID-19). All analyses were performed using the Statistical Package for the Social Sciences (version 22.0; IBM, Armonk, NY, USA). The data with a p-value < .05 was considered statistically significant.

3. RESULTS

The characteristics of respondents are shown in Table 1. The majority of respondents (46.9%) are between the ages of 31 and 40. The majority of respondents (78.6%) are female, and the majority of respondents most recent education is Professional Nurses (58.3%). According to the data on length of employment, the majority of respondents (54.2%) have worked in the hospital for more than 6 years. The majority of respondents (84.4%) work as Nurse Practitioners.

Table 1.
Frequency distribution of respondents’ characteristics.
Criteria Frequency (n) Percentage (%)
Ages
20-30 years old 129 35.8
31-40 years old 169 46.9
41-50 years old 52 14.4
51-60 years old 10 2.8
Total 360 100
Gender
Male 77 21.4
Female 283 78.6
Total 360 100
Marital Status
Married 273 75.8
Unmarried 87 24.2
Total 360 100
Latest Education
Nursing Diploma 101 28.1
Bachelor of Nursing 43 11.9
Professional Nurse 210 58.3
Master of Nursing 6 1.7
Total 360 100
Employment Status
Permanent Employees/Civil servant 134 37.2
Contract employees 224 62.2
Internship 2 0.6
Total 360 100
Work Duration
1-3 years 93 25.8
4-6 years 72 20.0
>6 years 195 54.2
Total 360 100
Occupations
Head of Nurse 15 4.2
Team Leader 41 11.4
Nurse Practitioner 304 84.4
Total 360 100
Income
>3,500,000 168 46.7
2,500,000-3,500,000 246 40.6
2,500,000-1,500,000 46 12.8
Total 360 100

According to the findings of this study, nurses performed well on the majority of infection prevention and control practices while caring for COVID-19 patients. The application of safe behavior in preventing the transmission of COVID-19 (taking action) has the highest percentage (84%), followed by related information-seeking actions in preventing the transmission of COVID-19 (80%), and finally determining ways to change risks (obtaining remedies) (77%). Furthermore, the majority of nurses (73%) are committed to infection prevention and transmission practices, and nurses who label themselves as individuals (71%) are at risk of contracting COVID-19 (labelling) (Fig. 1).

The results of the multivariate significance tests using Pillai's trace, Hotelling's rules, Wilk's formula, and Roy's adaptation model are shown in Table 2. Each test has a significance value of.000. This value denotes a significant correlation between the first, second, and third canonical functions. Furthermore, the first pair of canonical functions with the strongest correlation is taking action (.70760) and labeling (.70760). (.70317). The second pair of canonical functions with the strongest correlation is obtaining remedies (.99513) and self-justification (.92553). The third pair of canonical functions with the strongest correlation is information seeking (.88455) and commitment (.79143) (Table 3).

Fig. (1). Percentage of infection prevention and control practices.
Table 2.
Bivariate analysis and canonical correlation significance test.
Self Justification Information Seeking Obtaining Remedies Taking Action Pillai Hotelling Wilk Roy ρ
Adequate Inadequate ρ Precise Less Precise ρ Performing Not Performing ρ
n % n % .025 n % n % .030 n % n % .022 .33297 .45599 .67879 .29341 .000
Internal 123 74.5 42 25.5 136 82.4 29 17.6 131 79.4 34 20.6
External 164 84.1 31 15.9 142 72.8 53 27.2 172 88.2 23 11.8
Total 287 79,7 73 20,3 278 77.2 82 22.8 303 84.2 57 15.8
Commitment - - - - - - - - - - - - - - -
Strong 225 85.2 39 14.8 .001 210 79.5 54 20.5 .081 243 92.0 21 8.0 .001
Weak 62 64.6 34 35.4 68 70,8 28 29.2 60 62.5 36 37.5
Total 287 79,7 73 20,3 278 77.2 82 22.8 303 84.2 57 15.8
Labeling - - - - - - - - - - - - - - -
Strong 225 87,5 32 12,5 .001 212 82,5 45 17,5 .001 235 91,4 22 8,6 .001
Weak 62 60,2 41 39,8 66 64,1 37 35,9 68 66,0 35 34,0
Total 287 79,7 73 20,3 278 77,2 82 22,8 303 84,2 57 15,8
Table 3.
Canonical weight.
Variable Canonical Weight Canonical Loading
Canonical Function 1 Canonical Function 2 Canonical Function 3 Canonical Function 1 Canonical Function 2 Canonical Function 3
Independent - - - - - -
Self Justification .054 -.925 -.425 .224 -.920 -.318
Commitment -.634 .119 -.791 -.708 .259 -.655
Labeling -.703 -.382 .608 -.764 .259 -.655
Dependent - - - - - -
Information Seeking -.497 .183 .884 -.677 .104 .728
Obtaining Remedies -.195 -.995 -.038 -.353 -.935 -.005
Taking Action -.707 .271 -.696 -.840 .184 -.510

According to these findings, nurses who take precautions to reduce the risk of COVID-19 infection are strongly influenced by labeling themselves as at-risk individuals. Furthermore, nurses enacting risky behavior modification strategies are closely related to nurses' self-justification in reducing the risk of COVID-19 transmission, and nurses seeking information about reducing the risk of COVID-19 transmission are closely related to their commitment. As a result, it is critical for nurse managers to reinforce all aspects of disease transmission in daily nursing practice.

4. DISCUSSIONS

This study shows the strongest correlation between nurses self labeling and infection prevention and control (taking action). In determining the status of self-recognition at risk of health workers regarding COVID-19 disease, A previous study has revealed that health workers have a high level of perception or self-recognition of risk. It means that the labeling of the COVID-19 disease must be very good so that health workers could provide the best efficiency for behavior change [23]. This current study has revealed that half of the participants consider COVID-19 a deadly disease, label themselves at risk of COVID-19, and are worried about COVID-19. Meanwhile, approximately 70% of the respondents have performed preventive measures to prevent COVID-19 and consider it a serious and dangerous disease; thus, most people feel responsible in their lives to follow the steps to reduce the risk of transmission [24].

A strong correlation is also found in self-justification by establishing ways to change the risk of transmission [obtaining remedies]. It means that nurses who have positive perceptions or acknowledgments about their ability to prevent infection tend to behave more positively than those who have negative perceptions [25]. Moreover, nurses should learn about COVID-19, prevention, and transmission mechanisms as self-copping strategies to reduce stress [26].

Moreover, nurses’ commitment to infection prevention and control practices is positively correlated with their information-seeking actions. The nurses’ decision to behave safely at work is determined by their self-commitment because low commitment tends to have a negative impact on their service quality, job satisfaction, and work safety; thus, low commitment is not significant for controlling the risk of disease transmission [27]. Commitment is a decision-making stage that could produce several outcomes, such as making firm decisions to overcome problems. It is believed that when an individual thinks about the problem and its consequences, the commitment to implement risk reduction measures will be higher [28].

The commitment to infection management aims to improve care by early detecting signs and symptoms, using standard diagnostic criteria, implementing adequate preventive measures, and establishing systems for surveillance and control. Similar actions could help nurses achieve desired outcomes, such as patient safety, worker welfare, reduced risk of infection, and improved organizational performance [29, 30]. This result is in line with those of several other studies that investigate the correlation of organizational factors, commitment, and different factors [31]. Organizational support, such as sufficient personnel, a sufficient number of PPE, reasonable working hours, and psychological support systems, are the key factors [32, 33].

Measures to control and prevent infectious diseases should be implemented. Interactions between humans and pathogens could be facilitated or avoided depending on the presence or absence of infectious disease control and prevention measures [34, 35]. Standard precautions are a key component of healthcare worker safety and should be implemented at every encounter with every patient to protect all healthcare workers and patients in all healthcare settings [36]. Standard precautions refer to minimum infection prevention practices applicable to patient care [37]. Centers for Disease Control and Prevention (CDC) recommends several points: implementing the standard, using contact and air precautions, and designing education and training programs [38]. Maintaining the quality of nursing of the multidisciplinary primary health care team potentially addresses many health and social problems; this maintenance could reduce secondary morbidity and mortality and improve health [39]. It has been shown that adherence to infection control measures reduces transmission [40].

CONCLUSION

Nurses’ compliance in taking measures to reduce the risk of transmission of COVID-19 could not be separated from their self-labeling and commitment; the stronger their labeling and self-commitment, the better and more appropriate their actions in reducing risk.

LIMITATIONS

This study used a relatively small sample size, so it cannot be generalized out of Indonesia. In addition, investigation on the determinants of infection prevention and control practices was limited to internal factors in nurses. Future research on external factors is needed to obtain comprehensive results.

IMPLICATION

For nurse managers, these findings can be used to strengthen infection prevention and transmission practices in hospitals. Interventions to strengthen nurses’ commitment and self-awareness as individuals at risk can be an option in optimizing infection prevention and transmission practices.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This trial obtained ethical approval from the institutional review boards of Nani Hasanuddin Institute (0169/STIKES-NH/KEPK/VI/2021).

HUMAN AND ANIMAL RIGHTS

No animals were used in this research. All human research procedures were followed in accordance with the ethical standards of the committee responsible for experimentation (institutional and national) and with the 1975 Declaration of Helsinki, as revised in 2013.

CONSENT FOR PUBLICATION

The purpose of the study was explained to the participants and the consent form was obtained. Confidentiality, voluntary participation, and anonymity were maintained.

STANDARDS OF REPORTING

STROBE guidelines were followed.

AVAILABILITY OF DATA AND MATERIALS

Data are available by contacting the corresponding author [S.S] with reasonable reasons.

FUNDING

None.

CONFLICT OF INTERESTS

The author declares no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

We thank all the nurses who participated in this study for their contribution and dedication.

REFERENCES

1
Giwangkancana G, Rahmi A, Indriasari , Hidayat NN. Managing surgical patients with a COVID-19 infection in the operating room: An experience from Indonesia. Perioper Care Oper Room Manag 2021; 24(June): 100198.
2
Shanafelt T, Ripp J, Trockel M. Understanding and addressing sources of anxiety among health care professionals during the COVID-19 pandemic. JAMA 2020; 323(21): 2133-4.
3
Assiri A, McGeer A, Perl TM, et al. Hospital outbreak of middle east respiratory syndrome coronavirus. N Engl J Med 2013; 369(5): 407-16.
4
Kim Y, Lee S, Chu C, Choe S, Hong S, Shin Y. The characteristics of middle eastern respiratory syndrome coronavirus transmission dynamics in South Korea. Osong Public Health Res Perspect 2016; 7(1): 49-55.
5
Klompas M, Branson R, Eichenwald EC, et al. Infection control risk assessment (ICRA). Cermin Dunia Kedokt 2016; 43(3): 215-9.
6
Smith GD, Ng F, Ho Cheung Li W. COVID‐19: Emerging compassion, courage and resilience in the face of misinformation and adversity. J Clin Nurs 2020; 29(9-10): 1425-8.
7
Jordan RE, Adab P, Cheng KK. Covid-19: Risk factors for severe disease and death. BMJ 2020; 368(March): m1198.
8
Hanggoro AY, Suwarni L, Selviana M. The Psychological Impact of the COVID-19 Pandemic on Health Worker: A Cross-Sectional Study in Pontianak City. J Kesehat Masy Indones 2020; 15(2): 13-8.
9
Chou LP, Li CY, Hu SC. Job stress and burnout in hospital employees: Comparisons of different medical professions in a regional hospital in Taiwan. BMJ Open 2014; 4(2): e004185.
10
Khamisa N, Oldenburg B, Peltzer K, Ilic D. Work related stress, burnout, job satisfaction and general health of nurses. Int J Environ Res Public Health 2015; 12(1): 652-66.
11
Shah K, Kamrai D, Mekala H, Mann B, Desai K, Patel RS. Focus on Mental Health During the Coronavirus (COVID-19) Pandemic: Applying Learnings from the Past Outbreaks. Cureus 2020; 12(3): e7405.
12
Usher K, Bhullar N, Jackson D. Life in the pandemic: Social isolation and mental health. J Clin Nurs 2020; 29(15-16): 2756-7.
13
Hong S, Ai M, Xu X, et al. Immediate psychological impact on nurses working at 42 government-designated hospitals during COVID-19 outbreak in China: A cross-sectional study. Nurs Outlook 2021; 69(1): 6-12.
14
Chew NWS, Lee GKH, Tan BYQ, et al. A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak. Brain Behav Immun 2020; 88(April): 559-65.
15
Xiang YT, Yang Y, Li W, et al. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry 2020; 7(3): 228-9.
16
Sun N, Wei L, Shi S, et al. A qualitative study on the psychological experience of caregivers of COVID-19 patients. Am J Infect Control 2020; 48(6): 592-8.
17
Lin HC, Chen CC. Disease Prevention Behavior During the COVID-19 Pandemic and the Role of Self-Esteem: An Extended Parallel Process Model. Psychol Res Behav Manag 2021; 14: 123-35.
18
Murphy JH. Personal protective equipment during the COVID‐19 pandemic: A comment. Anaesthesia 2020; 75(8): 1121.
19
Adams JG, Walls RM. Supporting the health care workforce during the COVID-19 global epidemic. JAMA 2020; 323(15): 1439-40.
20
COVID-19: Protecting health-care workers. Lancet 2020; 395(10228): 922.
21
Nursalam Metode Penelitian Ilmu Keperawatan. 2nd ed. Jakarta: Salemba Medika 2015.
22
The influence of organizational and self justification factors on reducing the risk of disease transmission in nurses in hospital. 2017.
23
Gorini A, Fiabane E, Sommaruga M, et al. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- 19. The COVID-19 resource centre is hosted on Elsevier Connect, the company’s public news and information. 2020.
24
Honarvar B, Lankarani KB, Kharmandar A, et al. Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: A population and field-based study from Iran. Int J Public Health 2020; 65(6): 731-9.
25
Lestari FA, Suarnianti H. Relationship between individual factors and behavior to reduce the risk of disease transmission in health workers at the health center. J Ilm Kesehat Diagnosis 2019; 13: 710-4.
26
Cai H, Tu B, Ma J, et al. Psychological impact and coping strategies of frontline medical staff in Hunan between January and March 2020 during the outbreak of coronavirus disease 2019 (COVID) in Hubei, China. Med Sci Monit 2020; 26: e924171.
27
Rahmadeni AS. Personal factors associated with organizational commitment of nurses at embung fatimah batam hospital. Hum Care J 2020; 5(3): 875.
28
Bante A, Mersha A, Tesfaye A, et al. Adherence with COVID-19 Preventive measures and associated factors among residents of dirashe district, Southern Ethiopia. Patient Prefer Adherence 2021; 15: 237-49.
29
Holden RJ, Carayon P, Gurses AP, et al. SEIPS 2.0: A human factors framework for studying and improving the work of healthcare professionals and patients. Ergonomics 2013; 56(11): 1669-86.
30
Carayon P, Wooldridge A, Hoonakker P, Hundt AS, Kelly MM. SEIPS 3.0: Human-centered design of the patient journey for patient safety. Appl Ergon 2020; 84: 103033.
31
Miedaner F, Kuntz L, Enke C, Roth B, Nitzsche A. Exploring the differential impact of individual and organizational factors on organizational commitment of physicians and nurses. BMC Health Serv Res 2018; 18(1): 180.
32
Joob B, Wiwanitkit V. Medical personnel, COVID-19 and emotional impact. Psychiatry Res 2020; 288(April): 112952.
33
Kim Y. Nurses’ experiences of care for patients with Middle East respiratory syndrome-coronavirus in South Korea. Am J Infect Control 2018; 46(7): 781-7.
34
Ellwanger JH, Veiga ABG, Kaminski VL, Valverde-Villegas JM, Freitas AWQ, Chies JAB. Control and prevention of infectious diseases from a One Health perspective. Genet Mol Biol 2021; 44(suppl 1): e20200256.
35
Scopetti M, Santurro A, Tartaglia R, Frati P, Fineschi V, Sciences O. Expanding frontiers of risk management: Care safety in nursing home during COVID-19 pandemic. Int J Qual ini Heal Care 2020; 33(1): 1-25.
36
Curless SM, Forrester AL, Trexler AP. Infection Prevention and Control.Developing Practical Nursing Skills. USA: Jhpiego Corporation - Johns Hopkins University 2018; pp. 75-132.
37
Centers for disease control and prevention. Standard Precautions. 2018.
38
Kim JY, Song JY, Yoon YK, et al. Middle East Respiratory Syndrome Infection Control and Prevention Guideline for Healthcare Facilities. Infect Chemother 2015; 47(4): 278-302.
39
Halcomb E, Williams A, Ashley C, et al. The support needs of Australian primary health care nurses during the COVID‐19 pandemic. J Nurs Manag 2020; 28(7): 1553-60.
40
Butt TS, Koutlakis-Barron I, AlJumaah S, AlThawadi S, AlMofada S. Infection control and prevention practices implemented to reduce transmission risk of Middle East respiratory syndrome-coronavirus in a tertiary care institution in Saudi Arabia. Am J Infect Control 2016; 44(5): 605-11.