The mean bacterial concentrations, temperature, and humidity of different wards.
Abstract
Many disease-causing microorganisms may have been introduced into the hospital’s interior air by clients, staff, students, visitors, inadequate ventilation, or the outside environment. Hospitalized patients are at a greater risk of nosocomial infection as a result of enclosed/restricted space, overcrowding, and inadequate infection prevention and control (IPC) practices, which create a favorable environment for microorganism growth. Therefore, an institutional-based cross-sectional study was conducted to determine the indoor air bacterial load in different wards of the Hospital using passive air sampling techniques, and IPC compliance was evaluated using the World Health Organization IPC Assessment Framework (IPCAF) tool. In this study, the mean bacterial load ranged from 450±54.0 CFU/m3 to 1585.83±155.64 CFU/m3 after 60 minutes of culture media exposure. Gram-positive bacteria were the most commonly detected bacteria in hospital indoor environments, accounting for 51 (71%) of all detected bacteria. Fungi were found in 65 (90.3%) of the samples. The overall IPC compliance score in this study was 178/800 (22.25%), which was considered inadequate. The highest IPC compliance score in this study was 48%. Therefore, implementing IPC standards and regularly monitoring the bacterial load in the indoor air are essential for preventing the spread of microorganisms to visitors, patients, students, and healthcare workers.
Keywords
- bacterial concentrations
- hospital settings
- indoor air quality
- sedimentation plates
- infection prevention
1. Introduction
Air pollution is referred to as a physical, biological, or chemical agent that pollutes the indoor or ambient (outdoor) environment and alters the inherent properties of the atmosphere [1]. The term “indoor air quality” (IAQ) means the air quality inside and surrounding buildings and structures, particularly in relation to the comfort and health of building occupants [2]. IAQ in healthcare settings is critical for patient safety and occupational health because healthcare professionals, employees, and clients spend extended periods of time in facilities [3, 4].
Hospital-acquired infections (HAIs) can be caused by pathogenic bacteria that can be found in healthcare facilities [5]. The Centers for Disease Control and Prevention (CDC) estimate that each year, nearly 1.7 million hospitalized patients acquire hospital-acquired infections (HAIs) while receiving treatment for other medical conditions and that more than 98,000 patients (1 in 17) die as a result of these infections [6].
Bacteria were found to be responsible for 90% of all HAIs. Bacterial indoor air quality reflects the sanitary conditions of the health facility. Bacteria, mold, and viruses can grow on ventilation system pans as well as the moist ceiling and floor [7]. Most bacteria may exist on dry surfaces for months and are resistant to disinfectants, which has an effect on patient health [8, 9, 10].
A lack of fresh air caused by increased building insulation, poorly maintained or operated ventilation systems, and poorly regulated temperature and relative humidity levels supports bio-aerosol presence and multiplication. Poor indoor air quality in developing countries may be caused by problems with design and inadequate ventilation [11, 12]. The presence of dirty attached toilets, insufficient waste disposal techniques, and an insufficient ventilation system all have an impact on the IAQ in healthcare facilities [13].
The majority of hospitals in developing nations lack an efficient IPC program as a result of a lack of knowledge, staff, water, laboratory backup, and safe practices among medical personnel [14]. The most prevalent disease-causing bacterial agents have been linked to poor indoor air quality and a variety of airborne infections [13, 15, 16]. The number of occupants, their activity, and the ventilation all influence the microbial load in hospital indoor air. Residents could be a source of microorganisms because bacteria are shed from the skin and respiratory tract. Gram-negative bacilli are found in sinks, washbasins, drains, nebulizers, humidifiers, and cooling towers [17, 18, 19].
The airborne colony count and IAQ parameters have significant associations; however, the association is not conclusive. Microorganisms can be affected by IAQ parameters [20]. Several studies in Ethiopia found a high risk of infection in hospital wards due to high bacterial loads in the air. Bacterial air quality was found to be above acceptable levels [21] in almost all of the hospital wards studied in Hawassa, Gonder, Jimma, and Adama [13, 22, 23, 24]. According to different research conducted in Ethiopian hospitals, the majority of hospital wards have a high bacterial concentration. However, none of them provide sufficient information on the various environmental conditions that contribute to high bacteria concentrations in indoor air. In addition, the WHO IPC Assessment Framework (IPCAF) and Hand Hygiene Self-Assessment Framework (HHSAF) are facility-level tools that each facility is expected to complete. Furthermore, the WHO IPC Assessment Framework (IPCAF) and Hand Hygiene Self-Assessment Framework (HHSAF) are facility-level tools that each facility is expected to complete. WHO encourages Ministries of Health to take the lead in promoting and coordinating the survey process and data collection among health facilities in their country (ideally through their national IPC focal point/team) [25]. However, no published data on the level of IPC compliance using WHO IPCAF tools were available in Ethiopia. Therefore, the main objective of this study was to assess IPC compliance at Dilla University Hospital using the WHO IPCAF tool, as well as determine bacterial concentrations in different hospital sites.
2. Methods
An institutional-based cross-sectional study was conducted at Dilla University Hospital in Dilla town, Gedeo zone, Southern Ethiopia, from June to August 2022, to determine indoor air bacterial load. A laboratory technician prepared blood agar according to standard operating procedure (SOP) one day before the data collection day, dispensed it into Petri dishes, and stored it in the refrigerator at 2-8°C after labeling it with the name of the media, preparation date, and expire date. We cleaned the sample collection area to avoid contamination during sample collection, and we decontaminated the cold box and transported it carefully to avoid contamination during transportation. To prevent contamination during incubation, we cleaned and decontaminated the incubator. The media for culture was prepared in accordance with the manufacturer’s instructions or procedures, and sterility was verified by incubating a sample of the batch for 48–72 hours at a temperature of 35–37°C to observe for growth. Any media batches that showed signs of growth within 72 hours were discarded.
2.1 Methods of laboratory diagnosis
2.1.1 Gram stain
Gram staining was used to distinguish between gram-positive and gram-negative bacteria by taking a sample from culture after overnight incubation and staining it with Crystal violet, Gram’s iodine, acetone alcohol (20 volumes of acetone to 19 volumes of methanol to 1 volume of water), and Safranin as a counterstain.
2.1.2 Microbiological analysis method
Air samples were collected two times a day, at 9:00 a.m. and 2:30 p.m. from different hospital rooms using a passive air method using 9 cm diameter Petri dishes filled with blood agar enriched with 5% sheep blood (Becton, Dickinson and Company) and dishes were left open using the 1/1/1 technique (1 meter from the walls, 1 meter from the floor, and for 1 hour), then covered with their lids and transported to the microbiology laboratory using a cold box for analysis. Colony-forming units (CFUs) were counted using a bacteria colony counter after each plate was incubated for 24 to 48 hours at 37°C under aerobic conditions. The CFU/m3 was calculated using Omeliansky’s equation after CFU [26, 27].
N = 5ax104 (bt)−1, Where N = microbial CFU/m2 of indoor air; a = number of colonies per petri dish; b = dish surface (cm2); t = exposure time (min) [28, 29]. We incubated the fungal culture on Sabouroad dextrose agar medium for three days at 25°C. Gentamicin, chloramphenicol, and cycloheximide were added to Sabouraud dextrose agar to inhibit both gram-positive and gram-negative bacteria overgrowth, and cycloheximide was added to inhibit saprophytic fungi growth. After autoclaving and cooling the media to 45 to 50°C, all antibiotics were added.
2.2 Data collecting procedures for IPC compliance
The IPC compliance assessment data was collected by IPC-trained health professionals and the IPC coordinator at Dilla University Hospital using the WHO IPCAF tool [30, 31]. The following are the main components of the tool:
2.3 Standard definition
According to the WHO expert group, bacterial concentrations in indoor air must be less than 1000 CFU/m3 is acceptable [32].
2.3.1 European Commission for nonindustrial premises sanitary standard for bacterial load
According to the European Commission, the sanitary standard of bacterial load for nonindustrial premises is classified as follows:
Very low (<50 CFU/m3), Low (50–100 CFU/m3), Intermediate (100–500 CFU/m3), High (500–2000 CFU/m3), and Very high (more than 2000 CFU/m3) [33].
2.4 Data analysis
The data collection process was supervised by the principal investigator and co-authors, who also double-checked the collected data. The data were analyzed according to WHO guidelines. The maximum possible score was 800 because each core component of the IPCAF tool had a score of 100. IPC compliance was divided into four categories: inadequate (0–25%), basic (25.1–50%), intermediate (50.1–75%), and advanced (75.1–100%).
3. Results
In this study, we collected 72 indoor air samples from different hospital sites, and the pediatric ward had the highest indoor air bacterial count (1825 CFU/m3), while the Neonatal Intensive Care Unit (NICU) had the lowest (390 CFU/m3) after 60 minutes of culture media exposure time (Figure 1).
The mean bacterial load in the Neonatal Intensive Care Unit (450 ± 54.0 CFU/m3), Orthopedics Ward (925 ± 136.37 CFU/m3), and Emergency (903.75 ± 148.12 CFU/m3) wards was within the WHO guidelines. However, the temperatures and relative humidity in all wards exceeded WHO guidelines (Table 1).
Wards/units | Bacteria (Mean CFU/m3 ± SD) | Temperature (°C) | RH (%) | WHO guidelines |
---|---|---|---|---|
Obstetrics | 1585.83 ± 155.64 | 27 | 61.1 | Bacteria (<1000 CFU/m3) Temperature (22–26.1°C) RH (30–60%) |
Surgical | 1075 ± 87.89 | 27.3 | 62.3 | |
Pediatrics | 1393.12 ± 411.13 | 27.2 | 66.5 | |
Emergency | 903.75 ± 148.12 | 26.5 | 61.2 | |
Medical | 1364.37 ± 353.48 | 27.9 | 67.8 | |
NICU | 450 ± 54.0 | 26.6 | 64.2 | |
Gynecology | 1119.37 ± 444.53 | 28.2 | 62.9 | |
Orthopedics ward | 925 ± 136.37 | 28.3 | 67 |
3.1 Indoor air bacterial load of hospital wards
According to the European Commission’s nonindustrial premises sanitary standard, 58 (80.6%) of the samples in this study had high indoor air bacterial loads, and 8 (11.1%) had very high indoor air bacterial loads (Figure 2).
Gram-positive and gram-negative bacteria were found in this study, with gram-positive bacteria stained blue to purple (Figure 3) and gram-negative bacteria stained pink to red (Figure 4). According to the gram reaction, 71% was gram-positive and 29% was gram-negative. In 65 (90.3%) of the samples, fungal growth was observed.
3.2 Infection prevention and control compliance
In this study, the overall IPC compliance score for six Dilla University Hospital wards was 178/800 (22.25%), which was considered inadequate. According to the study’s findings, the highest IPC compliance score was 48%, and the lowest compliance score was 0%. The majority of IPCAF tool scores ranged from 0 to 25%, indicating inadequate compliance. The core component “Built Environment, Materials, and Equipment” has the highest level of compliance, while healthcare-associated infection surveillance and multimodal strategies for IPC intervention have the lowest (Table 2).
IPCAF Core Components | Score | Percentage | Level of compliance |
---|---|---|---|
IPC program | 35.0 | 35.0 | Basic |
IPC guidelines | 25.0 | 25.0 | Inadequate |
IPC education and training | 20.0 | 20.0 | Inadequate |
Healthcare-associated infection surveillance | 0.0 | 0.0 | Inadequate |
Multimodal strategies for implementation of IPC interventions | 0.0 | 0.0 | Inadequate |
Monitoring/audit of IPC practices and feedback and control activities | 20.0 | 20.0 | Inadequate |
Workload, staffing and bed occupancy at the facility level | 30.0 | 30.0 | Basic |
Built environment, materials and equipment for IPC at the facility level | 48.0 | 48.0 | Basic |
Total score (Maximum 800) | 178 | 22.25 | Inadequate |
3.3 Identified gaps in IPC activity implementation
The IPC compliance assessment result in Table 3 revealed that there were gaps in implementing the IPC program and guidelines. There was no IPC team, the hospital’s IPC program was not routinely supported by the microbiological laboratory, there were no guidelines for outbreak management and preparedness, and frontline healthcare workers were not involved in planning and execution of IPC guidelines. The strengths and identify gaps in education, training, and surveillance. IPC training was not frequently provided to healthcare workers, cleaners, patients, family members, and personnel directly involved in patient care. No surveillance was conducted for HAIs.
IPCAF Core Components | Strength | Identified gaps |
---|---|---|
IPC program |
|
|
IPC guidelines |
|
|
IPC education and training |
|
|
HAIs surveillance | None |
|
Multimodal strategies for implementing IPC interventions | None |
|
Monitoring/audit of IPC practices and feedback and control activities |
|
|
Workload, staffing, and bed occupancy at the facility level |
|
|
Built environment, materials, and equipment for IPC at the facility level | PPE was available in the hospital, in sufficient quantity, and for all uses for all healthcare employees |
|
Multimodal strategies were not used to implement IPC interventions at Dilla University Hospital. There was no clearly defined IPC monitoring plan in place at the hospital. The WHO Hand Hygiene Self-Assessment Framework Survey was not conducted on a regular basis. The WHO healthcare worker-to-patient ratio was not maintained in the hospital; there was insufficient space between patient beds, the majority of wards lacked working hand hygiene stations, there were no functional and adequate toilet facilities, no protected waste disposal pit, and no functional incinerator.
4. Discussion
The bacterial indoor air quality reflects the sanitary conditions of the healthcare facility. In this study, the indoor air bacterial concentration of Dilla University Hospital wards was found to be in the range of 390 CFU/m3 and 1825 CFU/m3. The findings of this study were higher than those of studies conducted at the University of Gondar Teaching Hospital in Northwest Ethiopia (480 to 1468 CFU/m3) [13] and in Portuguese Hospital (240 to 736 CFU/m3) [34] but lower than those of studies conducted at Jimma University Specialized Hospital (2123 to 9733 CFU/m3) [22] and in hospitals in Dutse, Jigawa State (2770 CFU/m3) [35]. This disparity could be attributed to differences in infection prevention and control (IPC) practices, temperature and humidity variations, traffic flow control mechanisms, and hospital settings. According to various literature, the main contributing factors for a high microbial load in the indoor environments of healthcare settings were temperature, relative humidity, and the number of patients and visitors [36, 37].
The highest mean indoor air bacterial concentration was found in the obstetrics ward, while the lowest was found in the Neonatal Intensive Care Unit (NICU) ward. This study’s findings were supported by a case study at Jimma University Specialized Hospital [22]. The high bacterial concentration in the obstetrics ward could be attributed to poor room cleanliness, overcrowding, and insufficient ventilation, the attachment of unsanitary latrines and shower facilities, and ineffective healthcare waste management.
The average indoor air bacterial load ranged from 450 ± 54.0 CFU/m3 to 1585.83 ± 155.64 CFU/m3. This study’s findings were lower than the results of Jimma University Specialized Hospital, which ranged from 2123 CFU/m3 to 9733 CFU/m3 [22], but higher than those of a tertiary care hospital in India, which ranged from 65.52 CFU/m3 to 1179 CFU/m3 [11] and the University of Gondar Teaching Hospital in Northwest Ethiopia, which ranged from 480 CFU/m3 to 1468 CFU/m3 [13]. The high concentration of bacteria in the indoor air in this study could be attributed to poor healthcare waste management practices, overcrowding of wards, a lack of adequate artificial and natural ventilation, and poor sanitation of attached latrine facilities. According to the findings of various studies, poor ventilation systems can be a source of infections and can lead to the spread of various disease-causative agents or infectious pathogens [38].
In this study, a high percentage of the indoor air samples, 51.4%, exceeded the WHO expert group’s standards. The findings of this study agree with those of the University of Gondar Teaching Hospital in Northwest Ethiopia [13] and the Hawassa University Comprehensive Specialized Hospital [24].
In this study, the majority of 58 (80.6%) of collected indoor air samples had bacterial concentrations higher than the European Commission’s nonindustrial premises standard. Overcrowding, poor ventilation, unclean latrines, and splashes of blood or bodily fluids could all contribute to a high bacterial concentration. This study finding is supported by research from Nigeria [39], the University of Gondar Teaching Hospital in Northwest Ethiopia [13], and the Hawassa University Comprehensive Specialized Hospital Wards [24].
We detected both gram-positive and gram-negative bacteria after gram staining, but gram-positive bacteria were the most common, accounting for 51 (71%) of all bacteria detected. Similarly, studies conducted in hospital wards in Iran [40] and teaching hospitals in Nigeria [41] found that the majority of bacteria detected were gram-positive. This study’s finding is higher than that of a study conducted in Hawassa, Ethiopia (43.1%) [42], but lower than that of studies done at Ayder Referral Hospital in Northern Ethiopia (87.3%) [43] and Felege Hiwot Referral Hospital in Northwest Ethiopia (81.6%) [16]. Possible causes for the high concentration of gram-positive bacteria in hospitals include dry conditions, spread through the nasal cavity and skin of healthcare providers, clients, and students at clinical attachments.
In this study, gram-negative cocci and gram-positive rods were the most commonly detected bacteria species. Similarly, studies in Dutse, Jigawa State [35] in Islamabad, Pakistan [44], and Portuguese Hospital found that both gram-negative cocci and gram-positive rod bacteria were commonly detected bacteria species in the hospitals’ indoor environments [34].
Fungal growth was found in 65 (90.3%) of the samples in this study. This finding is supported by studies conducted in Nigeria [39], Northwest Ethiopia at the University of Gondar Teaching Hospital [13], and Hawassa University Comprehensive Specialized Hospital Wards [24]. The possible cause of high fungal loads in indoor air is insufficient artificial and natural ventilation, humidity, and temperature. Researchers demonstrated that effective hospital ventilation or filtration systems reduce indoor air fungal loads [38, 40]. Furthermore, the literature indicates that environmental factors such as humidity and air temperature contribute to a high fungi load in the hospital’s indoor environment [40, 45, 46].
Proper practices of IPC measures can play an essential role in reducing hospital-acquired (nosocomial) infections. The findings revealed that the majority of core components of IPC were not practiced, and materials, guidelines, and equipment for IPC were not available at Dilla University Hospital. Six of the eight core components of IPC compliance had inadequate compliance, while the other two had basic compliance. The overall IPC compliance score for Dilla University Hospital in this study was 178/800 (22.25%), which was considered inadequate. This study’s findings were lower than those of a study conducted at Lira University Hospital in Uganda, which found 28.5% [47].
PPE, detergents, and safe drinking water were among the IPC supplies that were limited in this study. The findings of this study are consistent with those of a study conducted in Ghana [48], a study conducted in the Arua district of Uganda [49], and the study conducted at Lira University Hospital, Uganda [47]. There is no IPC team at Dilla University Hospital, no budget has been allocated for the IPC program, the IPC program is not routinely supported by the microbiological laboratory, and no facility management specialist has been assigned. The findings of this study were supported by a study conducted at Lira University Hospital in Uganda [47].
5. Conclusion
Indoor air bacterial concentrations in the majority of Dilla University Hospital wards exceeded WHO guidelines and European Commission nonindustrial premises sanitary standards. Gram-positive rod bacteria and gram-negative cocci were found in this study, as well as fungal growth in 90.3% of the samples. Therefore, regular monitoring and evaluation of indoor air bacterial concentrations, as well as infection prevention and control measures, are necessary to control the introduction of microorganisms into the hospital. The overall compliance to IPC in Dilla University Hospital was 22.25% which was inadequate. The core component “Built Environment, Materials, and Equipment” and monitoring/surveillance have the highest level of compliance, while healthcare-associated infection surveillance and multimodal strategies for IPC intervention have the lowest. Therefore, the identified gaps in IPC implementation should be addressed in order to provide high-quality healthcare and reduce HCAIs. Furthermore, each room should be inspected on a regular basis to determine if there is any condition or situation that may enable microbial growth.
Conflict of interest
There were no potential conflicts of interest disclosed by the author in connection with the research, authorship, and/or publication of this article.
Author contributions
The study was conceptualized and designed by ZA. The data was collected, analyzed, and interpreted by ZA, KD, and GHW, and the book chapter was written by them. All authors reviewed and approved the final book chapter.
Funding
The Dilla University Research and Dissemination Office provided financial assistance for the completion of this study.
Ethical consideration
Before beginning the research, both verbal and written consent were taken into account. Letters of support from Dilla University and various stakeholders were also obtained.
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