Abstract
Healthcare associated infections impose serious challenges to safe and high-quality healthcare delivery, and have been closely associated with poor infection prevention practices. Infection prevention practices are poorly studied in Bangladesh, and no previous studies have examined these practices among healthcare providers of community clinics. The study aimed to assess infection prevention practices and associated factors among healthcare providers of community clinics in the rural area of Bangladesh. A cross-sectional study was conducted among 128 community healthcare providers in the Kurigram district of Bangladesh who were identified from 128 community clinics using a stratified random sampling technique. Data were collected between November and December, 2019 via face-to-face survey using a pre-tested semi-structured questionnaire. Only 37.5% community healthcare providers had adequate knowledge on infection prevention measures, and 39.1% had good infection prevention practices. Community healthcare providers with higher education were significantly more likely to have good infection prevention practices, and good infection prevention practices were associated with availability of hand washing facilities, and of soap in community clinic, and adequate knowledge of infection prevention. Implementation of an effective training program regarding infection prevention, along with adequate supply of infection prevention basic resources, and continuous monitoring and supervision are required to improve the currently faltering infection prevention knowledge and practices among community healthcare providers in Bangladesh.
Introduction
Healthcare associated infections (HAIs) are the most frequent adverse events in healthcare facilities worldwide, and impose major detrimental effects on the quality of clinical services for hundreds of millions hospitalized patients every year affecting approximately 10% in developed countries and 25% in developing countries [1–5]. Indeed, the risk of HAIs is 2–20 fold higher in developing countries than in resource-rich countries, further aggravating the socio-economic burden in resource-constrained economies [6]. In Bangladesh, it is noteworthy that HAIs rates may exceed 30% in some healthcare facilities, and such high prevalence may be due to a multitude of factors, including limited resources, large number of patients and visitors, understaffing, insufficient compliance with IP and control measures, negligence in the management of hospital waste, lack of awareness of infection control problems, and last but not least, poor IP practices and knowledge among providers, all of which further reduce any motivation to implement IP measures [6, 7].
The absence of adequate IP and patient safety practices increases the risk of acquiring HAIs in both healthcare providers and patients [4, 8–10]. HAIs are important contributors to increased mortality, morbidity, antimicrobial resistance, healthcare costs for patients and their families, and lead to unnecessary prolonged hospital stays [4, 11, 12]. The World Health Organization (WHO) showed that effective implementation of IP practices in healthcare facilities leads to significant reduction (> 30%) in HAIs [13], and to annual medical cost savings of $25.0 - $31.5 billion [4, 14]. Therefore, prevention of HAIs is essential for the provision of safe and high-quality healthcare services.
The Centers for Disease Control and Prevention (CDC) and the Healthcare Infection Control Practices Advisory Committee (HICPAC) demonstrated a significant shift in healthcare delivery from the acute, inpatient hospital setting to a variety of outpatient and community-based settings over the past several decades [15]. Compared to inpatient acute care settings, outpatient and community-based settings have traditionally lacked infrastructure and resources to support IP activities [15–18]. In Bangladesh, community clinics (CCs) are the most basic primary health facilities, and were established by the government throughout the country including very inaccessible, remote, and isolated areas. About 65% of the population in Bangladesh consists of rural dwellers, and the majority are in the low socioeconomic status [19, 20]. Currently, CCs have become an integral part of the health system in Bangladesh, and aim to deliver primary health care, family planning services, maternal and child health care, nutrition and vaccination services to rural people at the grassroots level as well as execute referral link with other facilities [21, 22]. The services are maintained by mainly one CHCP for each CC [22]. So, it is important to investigate IP practices among community healthcare providers (CHCPs). However, we are unaware of any studies examining IP practices among CHCPs in Bangladesh. Therefore, we investigated IP knowledge and practices along with potentially associated factors among CHCPs in the poorest resource settings of Bangladesh that could guide the formulation and promulgation of national IP policies.
Materials and methods
Study design, setting and population
A cross-sectional study was conducted among CHCPs working at 128 community clinics within five Upazilas (Sub-districts) including Kurigram Sadar, Nageshwari, Bhurungamari, Phulbari and Ulipur in the Kurigram district of Bangladesh. According to the Household Income and Expenditure Survey, Bangladesh Bureau of Statistics (BBS), and World Food Programme (WFP), the Kurigram district is the poorest district in Bangladesh with a recorded 70.8% poverty rate [23, 24]. Data were collected between November and December, 2019.
Sample size determination and sampling technique
In the study area, a total of 192 CCs were functionally active during the study period. The sample size was 128, which was calculated using the following sample size determination formula, considering the proportion of more frequent IP practices, 50% (since there was no previous study in the study areas), 95% confidence interval (CI) and 5% of marginal error. A stratified random sampling technique was used to select study participants. First, all community clinics in the study area were classified into five strata based on sub-district locations. Then, the CHCPs were selected from each strata using proportionate simple random sampling [25, 26].
Data collection and quality control
Data were collected via face-to-face survey using a pre-tested semi-structured questionnaire. Approximately fifteen minutes spent for each survey. The study was formulated based on the previous studies [4, 6, 12, 27–31] and the questions were developed by a team of three experts who were knowledgeable in the area of IP. The questionnaire consisted of three sections. Section 1 comprised questions relating to socio-demographic variables (age, sex, marital status, level of education, religion, length of service.) and existing information of respondent’s community clinics (presence of IP guideline/evidence, and hand washing facility [faucet, tube well and/or basin], and availability of soap, gloves and mask). Section 2 comprised questions assessing knowledge of IP concerning IP principles, transmission of infection, hand hygiene, personal protective equipment (PPE), serialization techniques, post-exposure prophylaxis (PEP) and healthcare waste management. Section 3 included questions assessing self-reported IP practices concerning hand hygiene, use of PPE, exposure incident/needle stick injury, provision of health education about HAIs, covering of wounds, vaccination against common pathogens, and healthcare waste management.
To assure the data quality, data collection instruments were pre-tested on 13 CHCPs (10% of the intended sample size) who were drawn from the study area but not included in the actual study. The results and experiences from the pre-test were evaluated for clarity, reliability, accuracy and relevance and changes were made to the instrument by three experts who were knowledgeable in this field. The reliability coefficient for IP knowledge and practice items had a Cronbach’s Alpha value of 0.768 and 0.753 respectively. Data were examined by the principal investigators for completeness and consistency during data collection on a daily basis.
Variables and measurements
The dependent variables evaluated were CHCP’s self-reported IP practices, whereas independent variables included socio-demographic characteristics (age, sex, marital status, level of education, religion, length of service, and history of IP training) and existing factors regarding respondent’s community clinics (IP guideline/evidence, hand washing facility, and availability of soap, gloves and masks), and knowledge of IP.
Respondents’ knowledge regarding IP and self-reported IP practices, findings were categorized using a scoring system in which, the respondent’s correct or incorrect responses to the questions were allocated “1” or “0” points respectively. The total score of knowledge questions was classified into two categories: adequate (> mean) and inadequate (≤ mean). Similarly, healthcare providers’ self-reported IP practices were classified into two categories: good (> mean) and poor (≤ mean) [12, 27, 31, 32].
Statistical analysis
Statistical analysis relied on the Statistical Package for Social Sciences (SPSS) version 22.0. Descriptive statistics were used to calculate the frequencies, percentages, means and standard deviations of relevant variables. Chi-square tests and Fisher’s exact tests were applied to assess associations between the dependent and independent variables. In addition, binary logistic regressions were employed between dependent and independent variables and those variables with a p-value of less than 0.2 in the binary analysis were then entered into a multiple logistic regression to control for the effect of potential confounders. The statistical significance was declared as a p-value < 0.05 with a 95% of confidence interval (CI).
Ethical considerations
This study was approved by the Biosafety, Biosecurity and Ethical Committee of the Jahangirnagar University, Savar, Dhaka-1342, Bangladesh [Ref. no: BBEC, JU/M 2020 (6)2] and all procedures were performed in accordance with the ethical standards of Institutional research ethics and Helsinki declaration. The objectives of the research were explained to the participants prior to participate in the study and written informed consent was obtained from all participants. Strict confidentiality of information and anonymity to the participants were ensured.
Results
Participants’ characteristics
In this study, a total of 128 CHCPs were surveyed. The average age of participants was 32.6 ± 3.7 years [SD] and half of the respondents were in the age group between 31 and 35 years old. The majority were male (57.8%) and most were Muslim (96.1%). Among the respondents, 43.8%, 33.6% and 22.7% had bachelors, masters, and higher secondary levels of education, respectively. The vast majority of the respondents’ community clinics had no IP guideline/recommendations/evidence. Only 85.9% reported that soap was always available in their community clinics. Availability of gloves and masks at all times was reported by only 13.3% and 7%, respectively (Table 1).
Table 1. General characteristics of the sample (n = 128).
Variables | n | (%) |
---|---|---|
Age (years) | ||
21–25 | 4 | (3.1) |
26–30 | 33 | (25.8) |
31–35 | 64 | (50) |
>35 | 27 | (21.1) |
Sex | ||
Male | 74 | (57.8) |
Female | 54 | (42.2) |
Marital Status | ||
Married | 123 | (96.1) |
Single | 5 | (3.9) |
Education | ||
Higher secondary | 29 | (22.7) |
Bachelors | 56 | (43.8) |
Masters | 43 | (33.5) |
Religion | ||
Islam | 123 | (96.1) |
Hindu | 5 | (3.9) |
Length of service (years) | ||
<5 | 11 | (8.6) |
5–8 | 76 | (59.4) |
>8 | 41 | (32) |
IP guideline/ evidence in CC | ||
Yes | 9 | (7) |
No | 119 | (93) |
Hand washing facility (tube well and/ or basin) with effective water supply in CC | ||
Yes | 113 | (88.3) |
No | 15 | (11.7) |
Availability of soap in CC | ||
Always | 110 | (85.9) |
Sometimes | 18 | (14.1) |
Availability of gloves in CC | ||
Always | 17 | (13.3) |
Sometimes | 94 | (73.4) |
Never | 17 | (13.3) |
Availability of mask in CC | ||
Always | 9 | (7) |
Sometimes | 27 | (21.1) |
Never | 92 | (71.9) |
Knowledge of IP
In this study, only 37.5% of the respondents had adequate IP knowledge. The average knowledge score was 5.17±1.38 [SD], with scores ranging from 2–9. Furthermore, only 42.2% of the respondents were knowledgeable that gloves cannot provide complete protection against transmission of infections and only 47.7% recognized that wearing of gloves does not replace the need for hand washing. Among the respondents, 55.5% believed that use of an alcohol-based antiseptic for hand hygiene is as effective as soap and water when hands are not visibly dirty. Furthermore, only 21.9% respondents knew how to prepare 0.5% chlorine solution, while 50% were knowledgeable that safety box should be closed/sealed when three quarters filled (Table 2).
Table 2. Community healthcare provider’s knowledge regarding infection prevention.
Knowledge items | n | (%) |
---|---|---|
Heard about infection prevention principles | ||
Yes | 45 | (35.2) |
No | 80 | (62.5) |
Don’t know | 3 | (2.3) |
Gloves can provide complete protection against transmission of infections | ||
Yes | 70 | (54.7) |
No | 54 | (42.2) |
Don’t know | 3 | (2.3) |
Washing hands with soap or use of an alcohol-based antiseptic decrease the risk of transmission of healthcare acquired infections | ||
Yes | 119 | (93) |
No | 7 | (5.5) |
Don’t know | 2 | (1.6) |
Use of an alcohol-based antiseptic for hand hygiene is as effective as soap and water if hands are not visibly dirty | ||
Yes | 71 | (55.5) |
No | 57 | (45.5) |
Don’t know | 0 | (0) |
Wearing of gloves replace the need for hand washing | ||
Yes | 61 | (47.7) |
No | 67 | (52.3) |
Don’t know | 0 | (0) |
Chemical sterilization technique used for every equipment | ||
Yes | 27 | (21.1) |
No | 95 | (74.2) |
Don’t know | 6 | (4.7) |
Physical sterilization (heat/radiation) technique used for every equipment | ||
Yes | 24 | (18.8) |
No | 93 | (72.7) |
Don’t know | 11 | (8.6) |
Post exposure prophylaxis (PEP) for HIV after exposure | ||
Yes | 32 | (25) |
No | 91 | (71.1) |
Don’t know | 5 | (3.9) |
Know how to prepare 0.5% chlorine solution | ||
Yes | 28 | (21.9) |
No | 100 | (78.1) |
Should safety box be closed/sealed when three quarters filled? | ||
Yes | 64 | (50) |
No | 63 | (49.2) |
Don’t know | 1 | (0.8) |
Self-reported IP practices
Of those interviewed, 39.1% reported good IP practices. Moreover, only 57.9% CHCPs wash hands with soap/antiseptic before each patient care, and 86.7% wash hands with soap after patient care or contact with body fluids. The frequency of respondents who always used aprons, gloves and masks when splashes and spills of any body fluids were likely was 57.8%, 25% and 7%, respectively. In addition, 7.8% of CHCPs used IP guidelines/ evidence and 55.5% recapped needles before disposing them or preferably placing then in a safety box.
Further, 28.9% of the respondents had a preceding history of contact with blood, body fluids or needle stick injury, and among them only 24.3% underwent post-exposure prophylaxis (PEP). The majority of the CHCPs (86.7%) provided health education to healthcare recipients concerning HAIs, but only 25.8% were vaccinated against common viral pathogens. Furthermore, the majority of the CHCPs (96.1%) placed needles or sharps in safety/sharp boxes, and 55.5% disposed of the safety/sharp boxes when they were three-quarters full (Table 3).
Table 3. Infection prevention practice of community healthcare providers.
Practice items | n | (%) | |
---|---|---|---|
Wash hands with soap/antiseptic hand rub before patient care | |||
Yes | 74 | (57.9) | |
No | 54 | (42.1) | |
Wash hands with soap after patient care/contact with fluid | |||
Yes | 111 | (86.7) | |
No | 17 | (13.3) | |
Always used PPE if splashes and spills of any body fluids were likely | |||
Apron | Yes | 74 | (57.8) |
No | 54 | (42.2) | |
Gloves | Yes | 32 | (25) |
No | 96 | (75) | |
Mask | Yes | 9 | (7) |
No | 119 | (93) | |
Used infection prevention guideline/evidence | |||
Yes | 10 | (7.8) | |
No | 118 | (92.2) | |
Recap needle before disposing/placing it in safety box | |||
Yes | 71 | (55.5) | |
No | 57 | (44.5) | |
History of contact for blood, fluid or stick injury | |||
Yes | 37 | (28.9) | |
No | 91 | (71.1) | |
Measures were used after exposed for blood, fluid or stick injury (n = 37) | |||
Taking PEP | Yes | 9 | (24.32) |
No | 28 | (75.68) | |
Clean by alcohol | Yes | 10 | (27.02) |
No | 27 | (72.98) | |
Washing with water | Yes | 31 | (83.79) |
No | 6 | (16.21) | |
Provided health education to patients about HAIs | |||
Yes | 111 | (86.7) | |
No | 17 | (13.3) | |
Covered wounds on the skin before starting work | |||
Yes | 109 | (85.2) | |
No | 19 | (14.8) | |
Vaccinated against common pathogens | |||
Yes | 33 | (25.8) | |
No | 95 | (74.2) | |
Used needles or sharps put on safety/sharp boxes | |||
Yes | 123 | (96.1) | |
No | 5 | (3.9) | |
Safety/ sharp boxes disposed of when they were three-quarters full | |||
Yes | 71 | (55.5) | |
No | 57 | (44.5) |
Factors associated with CHCPs’ self-reported IP practices
The IP practices were significantly associated with respondents’ education (χ2 = 8.541, df = 2, p = 0.014), presence of a hand washing facility (χ2 = 4.725, df = 1, p = 0.030), availability of soap in clinic setting (χ2 = 4.413, df = 1, p = 0.036) and IP knowledge (χ2 = 9.531, df = 1, p = 0.002) (Table 4).
Table 4. Factors associated with CHCPs infection prevention practice.
Variables | Good IP practice n (%) | Poor IP practice n (%) | χ2 (df) | p-value |
---|---|---|---|---|
Age (years) | ||||
21–25 | 1 (0.8) | 3 (2.3) | 1.924 (3) | 0.620 |
26–30 | 15 (11.7) | 18 (14.1) | ||
31–35 | 26 (20.3) | 38 (29.7) | ||
>35 | 8 (6.3) | 19 (14.8) | ||
Sex | ||||
Male | 25 (19.5) | 49 (38.3) | 2.053 (1) | 0.152 |
Female | 25 (19.5) | 29 (22.7) | ||
Marital status | ||||
Married | 48 (37.5) | 75 (58.6) | 0.002 (1) | 1.000 |
Single | 2 (1.6) | 3 (2.3) | ||
Education | ||||
Masters | 22 (17.2) | 21 (16.4) | 8.541 (2) | 0.014* |
Bachelor | 23 (18.0) | 33 (25.8) | ||
Higher Secondary | 5 (3.9) | 24 (18.8) | ||
Religion | ||||
Islam | 49 (38.3) | 74 (57.8) | 0.794 (1) | 0.648 |
Hindu | 1 (0.8) | 4 (3.1) | ||
Length of service | ||||
<5 | 3 (2.3) | 8 (6.3) | 0.738 (2) | 0.692 |
5–8 | 31 (24.2) | 45 (35.2) | ||
>8 | 16 (12.5) | 25 (19.5) | ||
IP guideline/evidence | ||||
Yes | 4 (3.1) | 5 (3.9) | 0.118 (1) | 0.736 |
No | 46 (35.9) | 73 (57.0) | ||
Hand washing facility (tube well and/or basin) | ||||
Yes | 48 (37.5) | 65 (50.8) | 4.725 (1) | 0.030* |
No | 2 (1.6) | 13 (10.2) | ||
Availability soap | ||||
Always | 47 (36.7) | 63 (49.2) | 4.413 (1) | 0.036* |
Sometimes | 3 (2.3) | 15 (11.7) | ||
Availability of gloves | ||||
Always | 9 (7.0) | 8 (6.3) | 3.102 (2) | 0.212 |
Sometimes | 37 (28.9) | 57 (44.5) | ||
Never | 4 (3.1) | 13 (10.2) | ||
Availability of mask | ||||
Always | 5 (3.9) | 4 (3.1) | 1.115 (2) | 0.573 |
Sometimes | 10 (7.8) | 17 (13.3) | ||
Never | 35 (27.3) | 57 (44.5) | ||
IP Knowledge | ||||
Adequate | 27 (21.1) | 21 (16.4) | 9.531 (1) | 0.002* |
Inadequate | 23 (18.0) | 57 (44.5) |
Note
*Significant p-value less than 0.05.
In the unadjusted model, CHCPs who had bachelors and masters level education were three times and five times more likely to have good IP practices (COR = 3.35, 95% CI = 1.11–10.06, p = 0.032 and COR = 5.03, 95% CI 1.62–15.63, p = 0.005, respectively) (Table 5). The unadjusted model also revealed that CHCPs who had one/more hand washing facilities in CCs were 4.8 times more likely to have more frequent practices towards prevention of HAIs (COR = 4.80, 95% CI = 1.03–22.27, p = 0.045). Moreover, permanent availability of soap in CCs was 3.7 times more likely to result in more frequent IP practices (COR = 3.73, 95% CI = 1.02–13.63, p = 0.046). Furthermore, CHCPs who had more adequate knowledge about IP, were three times more likely to have more frequent IP practices (COR = 3.19, 95% CI = 1.51–6.73) (Table 5). In the adjusted model, having a master’s degree (AOR = 4.92, 95% CI = 1.41–17.23, p = 0.013) and adequate IP knowledge (AOR = 2.89, 95% CI = 1.26–6.63, p = 0.012) emerged as significant independent factors associated with more frequent IP practices (Table 5).
Table 5. Binary and multiple regression analysis of factors associated with infection prevention practices.
Variables | IP Practice | Unadjusted model | Adjusted modela | |||
---|---|---|---|---|---|---|
Good | Poor | COR (95% CI) | p-value | AOR (95% CI) | p-value | |
Age | ||||||
21–25 | 1 (0.8) | 3 (2.3) | Reference | ― ― | ― | |
26–30 | 15 (11.7) | 18 (14.1) | 2.50 (0.24–26.60) | 0.448 | ||
31–35 | 26 (20.3) | 38 (29.7) | 2.05 (0.20–20.84) | 0.543 | ||
>35 | 8 (6.3) | 19 (14.8) | 1.26 (0.11–14.05) | 0.849 | ||
Sex | ||||||
Male | 25 (19.5) | 49 (38.3) | 0.59 (0.29–1.22) | 0.153 | 0.48 (0.20–1.14) | 0.095 |
Female | 25 (19.5) | 29 (22.7) | Reference | Reference | ||
Marital status | ||||||
Married | 48 (37.5) | 75 (58.6) | 0.96 (0.16–5.96) | 0.965 | ― ― | ― |
Single | 2 (1.6) | 3 (2.3) | Reference | |||
Education | ||||||
Masters | 22 (17.2) | 21 (16.4) | 5.03 (1.62–15.63) | 0.005 | 4.92 (1.41–17.23) | 0.013 |
Bachelor | 23 (18.0) | 33 (25.8) | 3.35 (1.11–10.06) | 0.032 | 2.66 (0.80–8.86) | 0.110 |
Higher Secondary | 5 (3.9) | 24 (18.8) | Reference | Reference | ||
Religion | ||||||
Islam | 49 (38.3) | 74 (57.8) | 2.65 (0.29–24.41) | 0.390 | ― ― | ― |
Hindu | 1 (0.8) | 4 (3.1) | Reference | |||
Length of service | ||||||
<5 | 3 (2.3) | 8 (6.3) | Reference | ― ― | ― | |
5–8 | 31 (24.2) | 45 (35.2) | 1.84 (0.45–7.48) | 0.396 | ||
>8 | 16 (12.5) | 25 (19.5) | 1.71 (0.39–7.41) | 0.475 | ||
IP guideline/evidence | ||||||
Yes | 4 (3.1) | 5 (3.9) | 1.27 (0.32–4.97) | 0.732 | ― ― | ― |
No | 46 (35.9) | 73 (57.0) | Reference | |||
Hand washing facility (tube well and/or basin) | ||||||
Yes | 48 (37.5) | 65 (50.8) | 4.80 (1.03–22.27) | 0.045 | 1.92 (0.37–10.06) | 0.443 |
No | 2 (1.6) | 13 (10.2) | Reference | Reference | ||
Availability soap | ||||||
Always | 47 (36.7) | 63 (49.2) | 3.73 (1.02–13.63) | 0.046 | 1.93 (0.47–7.86) | 0.361 |
Sometimes | 3 (2.3) | 15 (11.7) | Reference | Reference | ||
Availability of gloves | ||||||
Always | 9 (7.0) | 8 (6.3) | 3.66 (0.84–15.93) | 0.084 | 2.84 (0.55–14.60) | 0.212 |
Sometimes | 37 (28.9) | 57 (44.5) | 2.11 (0.64–6.97) | 0.221 | 1.73 (0.45–6.59) | 0.422 |
Never | 4 (3.1) | 13 (10.2) | Reference | Reference | ||
Availability of mask | ||||||
Always | 5 (3.9) | 4 (3.1) | 2.04 (0.51–8.10) | 0.313 | ― ― | ― |
Sometimes | 10 (7.8) | 17 (13.3) | 0.96 (0.39–2.33) | 0.924 | ||
Never | 35 (27.3) | 57 (44.5) | Reference | |||
IP knowledge | ||||||
Adequate | 27 (21.1) | 21 (16.4) | 3.19 (1.51–6.73) | 0.002 | 2.89 (1.26–6.63) | 0.012 |
Inadequate | 23 (18.0) | 57 (44.5) | Reference | Reference |
Notes: COR = Unadjusted/ Crude odds ratio; CI = Confidence interval; AOR = Adjusted odds ratio.
aAdjusted for CHCP’s sex, education, hand washing facility (tube well and/or basin), availability soap, availability of gloves, and IP knowledge.
Discussion
This study assessed the IP knowledge and practices, and their associated factors among CHCPs in Bangladesh. The findings of the present study show that the majority of the CHCPs scored low on the IP knowledge questions (62.5%), and only 37.5% of the CHCPs had adequate knowledge about IP. The frequency of adequate knowledge is comparatively lower than several previous studies conducted among healthcare professionals in northwest Ethiopia (81.6%) [33], healthcare workers in southeast Ethiopia (53.7%) [4], and nursing staff in Kathmandu, Nepal (57.1%) [34]. There are several potential reasons behind these findings including (i) differences in education: most of the healthcare providers in the aforementioned studies had Diploma/Bachelor/Masters level education in Medicine or Nursing but government of Bangladesh had recruited CHCPs who had at least Higher secondary level of education in science/arts/commerce. These jobs were most suitable for individuals with Diploma of Medical Faculty (DMF), and Diploma in Nursing Sciences and Midwifery degree who studied several courss related to primary healthcare services including community medicine, public health, microbiology, etc. (all of which are essential courses to learn more about IP and infection control). However, during the recruitment of such prospective CHCPs, the government authorities were not concerned about these issue. Therefore, the lack of academic knowledge generated a significant knowledge gap on several issues of healthcare including IP; (ii) the type of healthcare staff (CHCPs vs. others [Doctor or Nurse]); (iii) difference in the availability and implementation of IP training; (iii) difference in the instrument to categorize IP knowledge. However, lower knowledge rates have also been reported among primary health workers in Nepal (22%) [35].
Our study found that 39.1% of CHCPs had good IP practices, a finding that is commensurate with the findings of a study conducted in Southeast Ethiopia [4]. Comparatively higher frequencies of good IP practices were however also reported by several previous studies conducted in different settings including 57.3% in Northwest Ethiopia [12], 54.2% in Bahir Dar city, Ethiopia [27], and 66.1% in Addis Ababa, Ethiopia [31]. The proportion of good IP practices among male CHCPs was higher than among female CHCPs, although there were no significant sex differences regarding overall IP practices. Notably, other studies found a higher prevalence of less frequent IP practice among male health workers [4, 12].
Not unexpectedly, IP practices were significantly associated with the level of CHCPs education, availability of hand washing facilities and soap, as well as IP knowledge. In comparison, a conducted among healthcare workers in Northwest Ethiopia found that IP practices were significantly associated with age, sex, marital status, educational status, working experience, availability of personal protective equipment and training on IP methods [12]. Similarly, another study conducted among healthcare workers in West Arsi District of Southeast Ethiopia found that IP practices were significantly associated with sex, profession, years of experience, availability of water for hand washing, the presence of an IP committee, availability of IP guidelines, and training on IP [4]. These differences may be due to differences in education status, supply of IP basic resources, sample size, socio-demographic differences, lack of in-service training and non-adherence to IP, and monitoring and evaluation system.
Although some previous studies assessed healthcare provider IP knowledge and practice, and showed associations with different factors including socio-demographic factors and IP basic resources and facilities [4, 10, 12, 18, 36], only a few studies assessed the association between healthcare provider’s IP knowledge and IP practice [37]. The present study was one of the few studies that examined the association between healthcare provider’s IP knowledge and IP practice, and found that CHCPs who had adequate IP knowledge, were three times more likely to have good IP practices than those who had no adequate IP knowledge. This finding is similar with a recent study which reported that healthcare workers who had good knowledge of infection prevention were two times more likely to have good infection prevention practices than those who had poor knowledge [37].
Limitations
The study is not without limitations. Indeed, it is limited by the use of self-reported data, which might have influenced the findings through well-known biases (e.g., memory recall biases and social desirability biases) [38]. In addition, this study was cross-sectional in nature, and therefore cannot provide any indication of causality. Furthermore, the present study was also limited by a relatively small sample size and restricted to five sub-districts in Bangladesh, and therefore, generalizability to other sub-districts and other urban and rural regions in the country may be limited. Future studies will require longitudinal design along with expanded representative samples.
Conclusions
We herein report important baseline information and related factors concerning several IP practices among CHCPs in Bangladesh. The majority of the respondents had limited IP knowledge and implemented IP practices less frequently. Only 39.1% CHCPs had good IP practices. Indeed, knowledge of IP, education levels, access to hand washing facilities, and availability of soap in CCs were associated with higher engagement in IP practices. Therefore, our findings suggest that healthcare authorities need to pay close attention to IP measures in CCs in order to enhance the quality of healthcare services. Implementation of an effective training program regarding IP, and fulfillment of the necessary IP resources in CCs appears to be a highly desirable, and a relatively not onerous approach that should improve IP practices among CHCPs and consequent outcomes. In addition, government and non-government stakeholders will need to ensure continuous training, monitoring and supervision to improve IP practices among CHCPs.
Supporting information
(XLS)
Acknowledgments
The authors also would like to thank Md. Sirajul Islam and Md. Shamsul Haque, for their supports during the data collection periods.
Data Availability
The data used for the analysis is included in the supporting information file.
Funding Statement
This study was funded by WaterAid Bangladesh under Young Researchers Fellowship Programme 2019. Kamrul Hsan was the recipient of this grant. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
(XLS)
Data Availability Statement
The data used for the analysis is included in the supporting information file.