Applying interprofessional simulation to improve knowledge, attitude and practice in hospital- acquired infection control among health professionals

Abstract

Background

This study aimed at determining the effectiveness of an innovative approach using interprofessional simulation scenarios (IPSS) in improving knowledge, attitude, and practice (KAP) of hospital-acquired infection control (HAIC) among health professionals.

Methods

The interventional study was conducted in a teaching hospital in Malaysia. Purposive sampling was used to recruit participants from surgical, intensive care, and other units. Thirty-six health professionals in the experimental and forty in the control group completed the study. All subjects participated in an interactive lecture and demonstrated four IPSS on HAIC i.e. (i) taking blood specimen (ii) bedsore dressing (iii) collecting sputum for acid-fast bacilli and (iv) intermittent bladder catheterization. Each team consisted of a doctor and a nurse. A self-administered questionnaire on KAP on HAIC was completed by respondents during the pre-, immediately and, post-intervention. An independent t-test was conducted to measure the significance between the experimental and control group.

Results

The mean scores for KAP among the experimental group increased following the intervention. Significant differences in scores were seen between the two groups post-intervention (p < 0.05). Overall, using the four procedures as surrogates, the interprofessional learning approach in HAIC intervention showed improvement among the participants in the experimental group following structured instructions. The IPSS approach in HAIC clearly shows its relevance in improving learning outcomes.

Conclusions

Well-designed interprofessional simulated scenarios can be effective in skills training in improving KAP in HAIC among health professionals.

Background

The 1999 Report ‘To err is human’ by the Institute of Medicine (IOM) upheld that patient safety is mandatory in clinical practice [1]. Interprofessional learning (IPL) offers opportunities for different healthcare professionals to learn from each other. In 2011, the Interprofessional Education Collaborative Experts Panel (CAIPE, 2011), outlined four IPL core competency domains i.e., ethics and values for interprofessional practice, roles, and responsibilities, interprofessional (IP) communication and teams, and teamwork. These four domains illustrate the collaborative role among health professionals to render safe healthcare in clinical areas [2].

In 1990, Miller stated four levels in achieving competency in clinical skills i.e. know, knows how, shows how, and does. ‘Does’ is the phase of learning related to the highest level of a competency [3]. In clinical training, identifying the gap between ‘knowing and doing’ is vital to ascertain skills that could be improved. Furthermore, acquiring clinical skills without causing harm to patients is critical in medical education.

Simulation offers an effective means for skills training without causing harm to real patients, closely adhering to level 4 of Miller’s pyramid i.e. what a health professional does in a real situation [4]. However, it is merely a technique and not a well-designed technology to replace real-world experiences. Simulation provides guided experiences that imitate significant aspects of the authentic clinical environment in a fully interactive manner [5]. Procedures can be re-enacted using simulation prior to the actual clinical placement of healthcare workers. Corrective measures in striving for a zero error can be implemented in such simulation exercises without causing harm to patients as mentioned in the ‘To Err Is Human’ report. Nonetheless, simulation provides intensive learning opportunities for acquiring specific skills in high-risk areas, which involves teamwork and communication in collaborative practices [6].

Simulated scenarios have been recommended as a pathway to reduce adverse effects to enhance patient safety [1]. It is applicable across a wide range of medical specialties simulated scenarios engage students emotionally. In fact, high-fidelity simulators can talk, breathe, and move like a real patient [7].

Hospital-acquired infection control (HAIC) has become a patient safety concern; and doctors and nurses need to learn with, from, and about one another to standardize collaboration among the team members. Infections acquired after hospital admission are known as hospital-acquired infections (HAIs). Different infections have different incubation periods so that each occurrence must be evaluated individually to determine the relationship between its occurrence and hospitalization’ [8]. These include central line-associated bloodstream infections, catheter-associated urinary tract infections, surgical site infections, and ventilator-associated pneumonia [9].

Adverse events were found among one-third of the hospital inpatients over a one-month period despite the implementation of infection control measures [10]. The incidence of needle stick or sharp injuries among healthcare workers (HCWs) was 23.5 % in a Malaysian government hospital [11]. The adverse impact of HAI i.e. significant excess of treatment costs, and attributable mortality on a huge number of afflicted patients need serious evaluation and remedial action. Another challenge in HAI is obtaining data of occurrences, particularly to confirm that they are directly linked to HAIs episodes [12]. Employing simulation-based education and focused instructions on HAIC is an essential strategy for health professionals.

A review of the literature revealed that there is little data on simulation-based assessment as a medical teaching approach in Malaysia. The recent pandemic outbreak of COVID 19, warranted the crucial need for effective HAIC, which includes mandatory usage of personal protective equipment (PPE) i.e. donning and removing masks and hand hygiene globally. Though the practice of applying the PPE may be burdensome, doctors and nurses must choose the right type of PPE, and be knowledgeable in wearing, removing, and disposal of used PPE. Nevertheless, other measures including good hand hygiene should be prioritized [13].

This study evaluated the effectiveness of intervention using interprofessional simulation scenarios approach on knowledge, attitude, and practice (KAP) in hospital-acquired infection control (IPSSHAIC) among health professionals in a teaching hospital in Klang Valley, Malaysia.

Methods

Study design

An innovative approach employing interprofessional simulation scenarios (IPSS) was used in this quasi-experimental study to improve knowledge, attitude, and practice (KAP) of hospital-acquired infection control (IPSSHAIC) among health professionals. The intervention consisted of (i) a validated questionnaire and (ii) clinical case scenarios. This study was conducted from June 2018 to January 2019 as part of a doctoral program. STROBE reporting guideline was reviewed, and simulation focus concepts were incorporated into this study protocol. i.e. specific objective for each simulated scenario practice and types of simulation used. Blinding techniques were used to address biases [14].

Setting and sample

This study was conducted in Serdang Hospital, which is an affiliated teaching hospital for University Putra Malaysia in Klang Valley, Malaysia. Serdang Hospital is a 620 bedded government-funded multi-specialty setting. Permission was granted by the Clinical Research Centre of Serdang Hospital to collect data. The minimum calculated sample size using Lehr’s equation was 18 doctors and 18 nurses for each group [14].

According to Luctkar-Flude et al., [15], mean knowledge of infection control improved as much as 84.95 % (Pre-Test Mean = 5.75;SD 1.09; n = 189; Post-Test Mean = 6.25;SD = 0.81; n = 106) [16]. The tool used to calculate the sample size is retrieved from:

http://www.openepi.com/SampleSize/SSMean.htm.

Recruitment of subjects

Department heads were approached for permission to participate in this study, subsequently, invitation letters were sent to the respondents. The recruitment was done on a strictly voluntary basis. However, due to constraints in getting respondents because of shift duties and other busy working schedules, purposive sampling was used to recruit doctors and nurses from medical, surgical, pediatric, emergency, and intensive care units. Respondents who were due for maternity or study leave on the days of data collection were excluded from this study.

Health professionals who volunteer to participate were assigned to two groups (i) experimental and (ii) control, based on i.e. willingness to complete the study and attend the follow-up session after three months. Initially, 25 doctors and 26 nurses were recruited through purposive sampling in the experimental group.

Analysis tool

A validated questionnaire on knowledge, attitude, and practice (KAP) on HAIC adopted from Paudyal, Simkhada, and Bruce (2007) was used [17]. (Refer to Appendix 1: Validation of questionnaire)

The questionnaire has two sections, Sec. 1: Demographic data and Sec. 2: Knowledge, attitude, and practice on hospital-acquired infection control (HAIC).

Section 1: Demographic data

Researchers gathered demographic data on age, years in practice upon graduation, training attendance in infection control practices, and factors preventing PPE usage.

Section 2: Knowledge, attitude and practice on hospital-acquired infection control

(HAIC)

Upon validation, the final questionnaire consisted of (i) knowledge items (12),

(ii) attitude items (11), and (iii) practice items (14). A total of 37 items were tested. Clinical specialists agreed that all negative items should be recoded.

However, in the final data analysis, two negative items from the attitude domain were discarded due to low corrected item-total correlation and squared multiple correlations. The items are (i) Item number 63: ‘Healthcare professionals refusing to provide care for an infectious patient is understandable’ and (ii) Item number 64: ‘The fear of health professionals of being infected by an infectious patient is understandable’ are attitude items. Originally, the Cronbach alpha for the 37 items was 0.67. Upon deletion of the two negative items, the reliability for the total 35-items questionnaire was inflated to 0.71.

Scoring

Knowledge and attitude were rated on a 3-point Likert scale ranging from 1 = Agree, 0 = Disagree, or Uncertain). Items related to ‘Practice’ ranged from 1 = Always and 0 = Sometimes or Never. The following are the cumulative scores for each domain: Knowledge (12), Attitude (9), and practice (14).

Interprofessional simulation scenarios (IPSS) on hospital-acquired infection control

Table 1 describes the specific skills for each scenario and the types of simulation equipment used in the intervention.

Table 1 Summary of Simulated Scenarios

Data collection

The clinical scenarios took place at the Clinical Simulation Centre of Medical Faculty at University Putra Malaysia. Figure 1 illustrates the workflow of the implementation of the overall training program.

Fig. 1

Implementation of the interprofessional hospital-acquired infection control training program. HAIC- Hospital-acquired infection control; IPHAICSS ; Interproessional simulated scenarios on hospital acquired infection control.

The experimental group was briefed on the following and training was provided on three different occasions depending on the availability of subjects;

• (i) details on purpose, experimental structure, venue, contents of the intervention, duration, and study significance.

• (ii) obtaining consent, and, anonymity and confidentiality assured.

• (iii) information regarding ‘No risk’ in this study.

• (iv) the training sessions were offered on three different dates allowing the respondents to choose their availability for the experimental group.

• (v) equal opportunity assurance is provided to avoid bias, in this case, equal time to practice.

Experimental group

Subjects consisted of a doctor and a nurse who practiced on IPSSHAIC. Each scenario was allocated 20 min. Video presentations on IPL and HAIC lectures were presented. Followed by videos on (i) hand hygiene and donning and removing personal protective equipment and (ii) IPSSHAICs. The subjects practiced these skills and they were supervised by four co-trainers. They were assessed with structured checklists inclusive of the skills and interprofessional competency domains statements i.e.(i) discussion between doctors and nurses in each group on the scenarios and determine their roles and responsibilities in a respectful manner and, ii. communicate with patients and respect the privacy of patients. Debriefing was given after completion of the scenario practices by the facilitators and principal investigator for twenty minutes. The debriefing was facilitated so that all subjects are aware of good practices in infection control. Verbal review of the case details, feedback with the review of checklists, and a summary of key learning points particularly on the HAIC steps were included in the sessions. The participants answered the questionnaire on HAIC during post-intervention.

After 3-months the subjects attended the practical session on the four IPSSHAICs. The participants rehearsed at each station and were assessed using checklists in a similar method. The completeness of the questionnaires was verified, as well as immediate feedback was provided to participants regarding items on KAP.

Control group

A briefing session was conducted for the control group with similar information as listed for the experimental group. They were offered a training session on “Recognition Of The Acutely Ill: The ABCDE Approach” as an educational intervention. They were given the option of viewing all learning materials upon completion of the study. The session was conducted by a trainer from the medical faculty of Universiti Putra Malaysia.

Appreciation for participation

All participants were given a certificate of attendance at the end of the study. Malaysia Medical Council (MMC) has awarded 4 (Continuous Professional Development) points for this training session.

Data analysis

Statistical analysis was conducted using SPSS version 23.0 (SPSS Inc.) and decision criteria was set at 0.05 alpha level. An independent t-test was employed to determine the significant differences between pre-intervention experimental and control and; post-intervention experimental, and control groups.

Results

In the control group, 23 doctors and 22 nurses were recruited originally. However, he final data analysis for the experimental group was based on 18 doctors and 18 nurses who completed the post-intervention stage. In the control group, 21 doctors and 19 nurses completed the study. Hence, this study was able to fulfill the required sample size both in the experimental and control groups.

Table 2 shows the demographic information of the participants from both groups in this study. Almost half of the respondents from both groups attended formal training in infection control during their professional development with experimental (58.3 %) and control group (55 %).

Table 2 Demographic data of respondents

Table 3 displays the analysis of items on the Knowledge dimension. The scores of all items increased in the post-experimental group, whereas the scores decreased in the post-control group.

Table 3 Knowledge on Hospital-acquired Infection Control

Table 4 displays the attitude dimension scores. The majority of subjects in the post- experimental group solved all items correctly. However, in item number 15; (Patient with an infectious disease should be treated only in a specialist centre) least scores were found, (72.2 % in the post-experimental and 57.5 % in the control group).

Table 4 Attitude on Hospital-acquired Infection Control

Table 5 shows the analysis of practice dimension scores. Scores on post-experimental showed an increase on all the statements but the lowest increase was seen in item 32,(I consume food and beverages at inpatient/ resident care areas) among both groups.

Table 5 Practices on Hospital-acquired Infection Control

Table 6 shows there was no significant difference in the mean scores between pre-intervention of experimental and control groups mean scores with; t (74) = − 0.633, p > 0.05. Whereas, there was a significant mean difference between post-intervention of experimental and control groups; t (74) = -3.654, p = 0.001. Cohen’s d effect size = 0.165, indicating a small effect size according to Cohen’s threshold [18]. The IPSSHAIC intervention approach showed improvement in the experimental group.

Table 6 Knowledge, Attitude and Practice in Hospital-Acquired Infection Control among health professionals

Discussion

Developing countries are at a higher risk of healthcare-acquired infections, 2 to 20 times more compared to developed countries, and 5–10 % of patients admitted to hospitals in developed countries acquire one or more infections [19]. The shortage of staff was reported as a root cause of several issues i.e. high workload, resulting in some healthcare professionals always occupied with multiple tasks at a time [20]. Besides, that shortage of financial support and resource constraints i.e. availability of gloves and masks are also crucial issues [21]. In this study, the.

highest percentage of wrong practices observed was more significant among the control compared to the experimental group (75 % versus, 58.3 %). In factors preventing using PPE, the constraints of availability of materials was the highest for experimental (36.1 %) and, the control group was too busy option (32.5 %).

Despite the availability of practice guidelines on infection control [8], this study shows non-compliance to HAIC found in this study. Some subjects from both groups failed to comply with practices like gloves must be worn when touching blood, body fluids, excretions, and secretions. Another non-compliance to HAIC practices observed in post-intervention was i.e., on wearing clean washed uniforms daily with 94.4 % in experimental and 77.5 % among the control group. The experimental group in post-intervention also revealed 94.4 % and the control group (90 %) in disposing of all the contaminated items into a disposal bag.

In developing training content on HAIC incorporating KAP, a previous study emphasizes the need for both theoretical and practical components [22]. In addition, John et al. (2017) in their study revealed 41 % of medical students received training with no demonstration in handling PPE and, they contaminated their skin in the simulation sessions. improve safe. Clearly, there is a need for formal training of medical students on safe practices in infection control with the implementation of teaching materials that incorporate KAP components [23].

Needlestick injuries (NSIs) are another issue of concern. One Malaysian hospital reported the prevalence of NSIs was statistically significant in orthopedic wards. Findings showed incidences among junior doctors (31.2 %), specialists (37.5 %), medical officers (37.5 %), and staff nurses (12.5 %) [24]. When the two groups were evaluated in this study, the experimental group and control group differed following intervention ( 97.2 % vs., 85 %) in answering item number 12 correctly with regards to knowledge on Hepatitis B can be transmitted by needlestick injury.

There is a need for greater emphasis on strengthening the knowledge of consequences on NSIs. Current observations of health professionals on learning skills in infection control, appear to be coned with little implementation of team approach including all health professional. This study highlights the importance of interventional HAIC training for health professionals. This is supported by the experimental subjects performing better than control subjects who were not provided innovative training in IPL and IC in all three dimensions.

However, both groups scored lower in attitude compared to knowledge and practice dimensions. In fact, the two items removed from data analysis are attitude items. Our study suggests of more training sessions in HAIC may improve health professionals’ attitude in infection control as recommended by Xiong et al. (2016). The authors also reported the pre-and post-intervention scores within-group comparisons showed nursing students in the intervention group significantly increased on attitudes p < 0.01 after three sessions compared to the control group [25]. Therefore, sustained continuous training sessions on interprofessional infection control improves the attitude dimension of HAIC.

Our recent study on IPL among health professionals revealed the infusion of interprofessional learning training among the health professionals displayed better self-assessments, attitudes and, perceptions towards collaborative practices [26].

The interprofessional learning approach has the possibility of strengthening the collaborative practices on HAIC training and contribute to improving the infection control practices.

Conclusions

Interprofessional simulation-based scenarios provide strategic opportunities for health professionals to improve safe collaborative practices on knowledge, attitude, and practices (KAP) in HAIC. There was a significant improvement in the experimental group scores following innovative training in HAIC. Training sessions using IPSSHAIC are recommended to be part of the continuous professional development program. Interprofessional simulation scenarios on HAIC have the potential in improving KAP in hospital-acquired infection control and in promoting collaboration among health professionals. This study fills the knowledge gap in the literature on IPL related to HAIC in Malaysia. This study concludes that well-designed interprofessional simulated scenarios can be effective tools in skills training to improve KAP in HAIC and collaboration among health professionals.

Limitations of the study

Doctors recruited in the experimental group all were house officers, but most nurses were more familiar with HAIC and this was evident in the final results. Obtaining sufficient clinical subjects in each category i.e. years of working experience and equal participation from each discipline was challenging. Subjects also expressed logistic limitations as the hospital is located at different premises from the faculty clinical school. Moreover, the subjects were recruited only on a voluntary basis. The high dropout rate though fulfills the sample size, however limits the study to a smaller analyzable sample. This fact is compounded by the purposive sampling techniques applied in the study though randomization was initiated earlier. Ideally, evaluation should incorporate a variety of methods.

A mixed-mode with the qualitative study would provide in-depth knowledge on many dimensions not possible with quantitative studies of this nature. However, this is recommended for future studies. There is a need to improve review exiting protocols on IPL when new health professionals join the team. The HAIC includes a wide range of practices in hospitals and it was not possible to cover all aspects of HAICPs in one paper. Therefore, only selected key issues were examined.