Open Access
How to translate text using browser tools
17 May 2021 Optimized and Non-Optimized Personal Protective Equipment Use during the COVID-19 Pandemic in Thailand: A National Cross-Sectional Survey in a Resource-Limited Setting
Visal Moolasart, Weerawat Manosuthi, Varaporn Thienthong, Uajai Jaemsak, Winnada Kongdejsakda, Pimonamorn Pantool, Suthat Chottanapund
Author Affiliations +
Abstract

INTRODUCTION: Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV2). COVID-19 is highly contagious, potentially fatal, and a global public health concern. Combining optimized personal protective equipment (PPE) use and hand hygiene is the best strategy for preventing COVID-19 in health care workers (HCWs).

METHODS: We conducted a national cross-sectional web-based survey of HCWs in the infection control program (IPC) in Thailand between May 5, 2020 and May 15, 2020. The primary objective was the prevalence of optimized PPE use amongst HCWs. The secondary objective was identification of the independent predictors of optimized PPE use.

RESULTS:We received a response from 46% of HCWs (756/1650), and all those who responded were nurse or HCWs who were registered in the IPC network. Five HCWs were excluded because of missing data, and 751 were included in the final analysis. The prevalences of PPE use were 22% (168/751) for optimized PPE use, 78% (583/751) for non-optimized PPE use, 35% (263/751) for PPE overuse, and 43% (320/751) for PPE underused. In univariate analysis, optimized PPE use was significantly associated with age, education level, knowledge of appropriate negative pressure room selection, and knowledge of apparently milder symptom severity in children than adults. In multivariate analysis, independent predictors of optimized PPE use were knowledge of appropriate negative pressure room selection (aOR = 1.95, 95% CI = 1.18-3.22), the difference in symptom severity between children and adults (aOR = 0.55, 95% CI = 0.37-0.81), and education level (aOR = 1.54, 95% CI = 1.04-2.27).

CONCLUSION: The prevalence of optimized PPE use amongst HCWs was 22%. Independent predictors of optimized PPE use were COVID-19 knowledge-based factors and education level. Therefore, the continued education training program should be implemented to ensure maintenance of appropriate practices during the COVID-19 pandemic.

Introduction

Coronavirus disease 2019(COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV2), and COVID-19 is a potentially fatal disease of great global public health concern.1 SARS-COV2 is transmitted by respiratory droplets by direct close contact of the exposed mucous membranes including the mouth, the nose, possibly the conjunctiva, indirect contact by fomites in the immediate environment of the infected person, and by the fecal-oral route.24 It is thought that airborne transmission is unlikely. The basic reproduction number (R0) is the expected number of cases generated by one case when the entire population is susceptible, and the estimates of the R0 of COVID-19 have varied widely.5,6 The symptoms of COVID-19 are similar in children and adults but appear to be milder in children.7

Health care workers (HCWs) are a population at high risk of SARS-COV2 infection. As of 3 April 2020, around 10 000 HCWs in Italy were infected, of whom 74 died, and many other HCWs have formed large clusters of infections with many deaths in countries globally.810 The COVID-19 pandemic has led to shortages of personal protective equipment (PPE) or the unintentional use of counterfeit filtering facepiece respirators for general populations, patients, and especially HCWs because SARS-COV2 can be transmitted even by COVID-19 infected individuals who are not yet showing signs of infection.1113 On 7 February 2020, the World Health Organization (WHO) estimated that the demand for PPE had increased by 100-fold, and prices had increased by up to 20-fold since the start of the outbreak.14 Several previous studies and national regulatory bodies have recommended gloves, a gown, a surgical mask, and goggles or a face shield as optimized PPE for HCWs in close contact with COVID-19 patients.1518 At present, the transmission of disease through the conjunctiva is not certain. Animal models demonstrated this mode of transmission; thus, eye protection should be considered as a part of PPE.19,20

The WHO recommendations for PPE for HCWs working in patient rooms or wards in the absence of aerosol-generating procedures are according to the setting, personnel, and type of activity. They include medical masks, gown, glove, and eye protection (ie, goggles or face shields) accompanied by hand hygiene. Coveralls, double gloves, or head covers (hoods) that cover the head and neck used in the context of filovirus disease outbreaks (eg, Ebola virus) are not required when managing COVID-19 patients.21 Overall, optimized PPE and hand hygiene using alcohol-based hand rub (ABHR) or washing with soap and water can reduce rates of disease transmission and protect HCWs. However, the overuse or misuse of standard PPE have detrimental effects, including supply shortages of hoods, mask types, and limiting the potential re-use of equipment.2224 It is equally important that HCWs use it appropriately to preserve what may be limited stocks to ensure there is sufficient supply for necessary use throughout an epidemic surge. For at risk HCWs, there are many strategies to control COVID-19 during the COVID-19 pandemic, such as social distancing or physical distancing25 and 14-day quarantine.26 Although influenza vaccine is not effective against the SARS-COV2 virus,27 this vaccine is advisable for the public and HCWs to reduce influenza incidence, allowing for more capacity in health care systems to be devoted to manage COVID-19. Disinfectant regimens that are effective against COVID-19 include a hypochlorite-based regimen (0.1%-0.5%), 70% ethyl alcohol, povidone-iodine (1% iodine), chloroxylenol (0.24%), 50% isopropanol, 0.05% benzalkonium chloride, 1% cresol soap, or hydrogen peroxide (0.5%-7.0%).28 The disinfectant regimen chosen should be performed 3 times a day and be repeated each time there is contamination.29 The WHO has stated that spraying individuals with disinfectants is not recommended under any circumstances because of physically and psychologically harmful effects without reducing an infected person’s ability to spread the virus through droplets or contact.30 However, the successful control of a pandemic depends on several factors, including the skills, adequate knowledge, preparedness for COVID-19, level of education, and the resources allocated to hospitals.3133

The Department of Disease Control of Thailand assigned the Bamrasnaradura Infectious Diseases Institute (BIDI) to the infection prevention control program (IPC) and network. BIDI has several programs, such as infection control surveillance and point prevalence survey,34 including the use of PPE in HCWs. To date, the data on optimized PPE use for COVID-19 in HCWs in Thailand have been sparse. Therefore, we aimed to estimate the prevalence of HCWs who used optimized PPE and also to identify the independent predictors of optimized PPE use.

Materials and Methods

Study design

We conducted the national cross-sectional web-based survey of HCWs in the IPC network in Thailand between May 5, 2020 and May 15, 2020. There are 1650 registered HCWs in IPC network. The study protocol was reviewed and approved by Institutional Review Board of BIDI, Ministry of Public Health, Thailand. The reference approval letter number is SO42h/63_ExPD. Informed consent was waived as participant data were de-identified. The primary objective was to estimate the prevalence of HCW who used optimized PPE. The secondary objective was identification of the independent predictors of optimized PPE use and non-optimized PPE use.

Optimized PPE use was defined as HCWs using PPE including medical masks, gowns, gloves, eye protection (ie, goggles or face shields), performing appropriate hand hygiene along with not using coveralls, double gloves, or head covers (ie, hoods).21 Non-optimized PPE was defined as HCWs using incomplete appropriate PPE or PPE overuse.

Survey instrument

A self-administered questionnaire designed after reviewing previously validated questionnaires from the several previous studies32,3538 and online surveys was developed as an instrument for gathering the data. A pilot study among 10 HCWs was used to assess the clarity, relevance, and explanation of informed consent in the instrument, followed by any revision to it based on the assessment. These responses were excluded from the final analysis. The survey composed of 25 questions that were divided into 3 sections: (1) demographic and characteristics of healthcare worker, (2) practices regarding COVID-19, (3) knowledge of COVID-19, and (4) attitudes toward COVID-19.

Survey administration

The survey was conducted using a Google-based online platform between May 5, 2020 and May 15, 2020. Subject were invited to participate through the IPC network and social media.

Data management

We extracted demographic, work experience and setting, knowledge, attitudes and practices data, including established sex, age, education (bachelor degree or postgraduate degree), experience in hospital work (<1, 1-5, 6-10, 11-20, and ⩾20 year), experience in IPC (<1, 1-5, 6-10, 11-20, and ⩾20 year), hospital type (primary, secondary, tertiary, university, private, army, or other), care type (adult only, child only, as well as both adult and child), experience with COVID-19 (yes or no), droplet and contact precaution(yes or no), ABHR practice (yes or no), wash with soap and water (yes or no), appropriate disinfectant regimen use (ie, 70% ethyl alcohol, sodium hypochlorite-based, or both alcohol and sodium hypochlorite), appropriate negative pressure room selection (negative pressure rooms for all situation or not), selecting N95 respirator for routine care (yes or no), single room (using air conditioning constantly or not), knowledge that symptom severity in children is apparently milder than in adults (yes or no), spraying disinfectant (yes or no), advising influenza vaccine (yes or no), visit strategy (yes or no), discharge plan for patients including social distancing, hand hygiene(HH), and mask (yes or no), discharge plan for family including social distancing, HH, and mask (yes or no), advising people to wear masks (yes: advise cloth mask wearing or no: did not advise cloth mask wearing), fear of COVID-19 infection (yes: afraid or no: not afraid), and fear of sickness and 14-day quarantine (yes: afraid or no: not afraid).

The definitions for appropriate hand hygiene, social and physical distancing, as well as 14-day quarantine for items used in the questionnaire survey are listed below. All HCWs should use droplet and contact precautions in routine practice for care of patients with suspected or confirmed COVID-19.1518,21 For our questionnaire survey, appropriate hand hygiene practice by HCWs was defined as an ABHR that contained at least 60% alcohol for a minimum of 20 seconds or washing with soap and water at the beginning of the workday, before and after touching patients, after using the toilet, before and after preparing food, and before eating.23,24 We defined social distancing or physical distancing according to the definition of the Centers of Disease Control and Prevention of the United States of maintaining a physical distance of 2 m or more from other people.25 We defined appropriate 14-day quarantine as 14-day quarantine of close contacts of a HCW infected with COVID-19.26 Influenza vaccination was advised for the public including HCWs during the COVID-19 pandemic.27 All HCWs should be checked twice a day for acute respiratory infections symptoms, and body temperature to increase the chances of early diagnosis. If a member of the team is infected with COVID-19, all close contacts should take quarantine measures.26

Statistical analysis

Descriptive statistics are presented as mean (SD) for normally distributed continuous variables, median (interquartile range) for non-normally distributed continuous variables, and frequency (%) for categorical variables. All continuous data were compared with the Student’s t-test or the Mann-Whitney U test as appropriate. Categorical data were compared with the chi-square test. A P-value of <.05 was considered statistically significant. Multivariable logistic regression was used to identify independent predictors of optimized PPE use. All variables with P-value <.05 in univariate analyses were selected for multivariate analysis. Factors considered were sex, age, education level, experience in hospital work, experience in IPC work, hospital type, care type, experience in COVID-19, droplet and contact precaution, ABHR practice, hand hygiene by washing with soap and water, disinfectant, knowledge of appropriate negative pressure room selection, selecting N95 respirator in all situations, single room, knowledge of apparently milder symptoms in children than adults, spray disinfectant, advising influenza vaccination, visit strategy, discharge plan for patient, discharge plan for family, advising people to wear mask, fear of COVID-19 infection, and fear of sickness and 14-day quarantine. Sample size calculation used the formula of Taro Yamane,39 assuming a sample size of 1650 registered HCWs in ICN network and the minimum sample size to maintain nominal 95% confidence interval coverage was 322 HCWs.

Result

Figure 1 shows a flow chart of the study population. Seven hundred fifty-six of 1650 registered HCWs (46%) were respondents. Five HCWs were excluded because of missing data. Therefore, 751 HCWs were included in the final analysis. Of these, the prevalence of optimized PPE use for COVID-19 was 22% (168/751). Seventy-eight percent (583/751) did not use optimized PPE for COVID-19, 35% (263/751) of HCWs over-used PPE, and 43% (320/751) of HCWs (43%) under-used PPE.

Figure 1.

Flow chart of study design.

10.1177_11786302211013545-fig1.tif

Table 1 displays the demographics and characteristics of the HCWs responding to the survey. The majority were female, and the mean age of those with optimized PPE use and non-optimized PPE use were 46.1 (SD 6.5) and 44.6 (SD 8.2) years (P = .015), respectively. Education level was also significantly different (P < .05). Sex, number of beds in health care facility, experience in hospital work, experience in IPC work, hospital type, care type, and experience in COVID-19 of both groups were not significantly different (P < .05).

Table 1.

Demographics and characteristics of health care workers (N = 751).

10.1177_11786302211013545-table1.tif

Table 2 displays the knowledge, attitudes and practices of HCW toward COVID-19 comparing those with optimized PPE use and those without optimized PPE use. Knowledge about appropriate negative pressure room selection and the fact that COVID-19 symptoms appear to be milder in children than in adults were significantly different (P < .05). Droplet and contact precaution, ABHR practice, hand hygiene by washing with soap and water, disinfectant, selection of N95 respirator for all situations, single room, spraying disinfectant, advising about influenza vaccine, visit strategy, discharge plan for patient, discharge plan for family, advising people to wear a mask, fear of COVID-19 infection, fear of sickness and 14-day quarantine were not significantly different (P < .05).

Table 2.

Practices, knowledge and attitudes of HCW toward COVID-19 (N = 751).

10.1177_11786302211013545-table2.tif

Table 3 displays factors associated with optimized PPE use. In multivariate analysis, independent predictors of optimized PPE were knowledge about the appropriate negative pressure room selection for COVID-19 (aOR = 1.95, 95% CI = 1.18-3.22), knowledge of apparently milder symptom severity in children compared to adults (aOR = 0.55, 95% CI = 0.37-0.81), and an education level of postgraduate degree (OR = 1.54, 95% CI = 1.04-2.27).

Table 3.

Associations of optimized PPE use in HCW by multivariable multinomial logistic regression.

10.1177_11786302211013545-table3.tif

Discussion

This survey provides a snapshot of the self-reported prevalence of HCWs who used optimized PPE by HCWs in the IPC network and identifies the independent predictors of optimized PPE use and non-optimized PPE use the network. This study demonstrates that the prevalence of optimized PPE use was 22%. The prevalences of overusing PPE and underusing PPE were 35% and 43%, respectively. The low prevalence of optimized PPE use could have been because of several reasons. Firstly, COVID-19 is an emerging infectious disease that was first isolated and identified in patients who were exposed at a seafood market in Wuhan City, Hubei Province, China on December 2019,40 so data on appropriate PPE for this disease is variable. Secondly, there may have been a shortage of supplies for Thai health care facilities of appropriate PPE compared to the demand because the COVID-19 pandemic is spreading rapidly across countries and regions. The WHO estimates that industry must increase manufacturing by 40% to supply adequate quantities of PPE.41 A previous study showed counterfeit filtering facepiece respirators are posing an additional risk to HCWs during COVID-19 pandemic because of panic buying (and shortage) of filtering facepiece respirators in the general population.11 However, the majority of the counterfeit filtering facepiece respirators were used among general population in Thailand. Thirdly, lockdown policy for social distancing may have adversely affected PPE training. One study demonstrated that 53% of healthcare workers reported that they did not receive proper PPE training.42 Moreover, a previous study in India showed that the majority surgical trainees felt that the COVID-19 lockdown had adversely affected their learning.43

In the present study, the low proportion of optimized PPE use was associated with knowledge about disease such as appropriate negative pressure room selection and knowledge of apparently milder symptoms in children than adults because COVID-19 is an emerging infectious disease,40 the mode of transmission mode is variable, and the early phase of the COVID-19 pandemic was characterized by uncertainty about the nature of transmission of the disease.24 In the present study, optimized PPE use was associated with HCWs with a postgraduate degree. Similarly, a previous Ugandan study demonstrated that good HCW practice regarding COVID-19 was associated with holding a diploma (aOR 18.4; 95% CI 1-322.9; P = .046).33

Limitations of the Study

Our study had several limitations. Firstly, the study was a point prevalence cross-sectional survey, and some data are missing. In addition, it was a voluntary survey, and there was a short time frame and rapid changes associated to this pandemic. Thus, the results of respondents reflect opinions and perceptions only. Secondly, we did not use a systematic sampling strategy. Hence, the majority of responder were nurses and the sample size was small. Thus, It is possibly unrepresentative of the population of HCWs or IPC teams in Thailand. Finally, this study was an online survey conducted through a web survey service. As the data were self-reported, there is no guarantee that participants provided accurate demographic or characteristics data. Moreover, online surveys with closed-ended questions may have a lower validity rate than other question types and the low response rate.

Conclusion

The prevalence of optimized PPE use among HCW was 22%. Optimized PPE use was significantly associated with knowledge about appropriate negative pressure room selection, knowledge of apparently milder symptoms in children than adults, and a HCW with a postgraduate degree.

Author’s Note

The study protocol was reviewed and approved by Institutional Review Board of BIDI, Ministry of Public Health, Thailand. The reference approval letter number is SO42h/63_ExPD. Manuscript demonstrate optimized personal protective equipment, COVID-19 pandemic, the several factors, it is suitable for publication. Preprint in PMC Europe.

Acknowledgements

We thank all the study participants and staff of Bamrasnaradura Infectious Diseases Institute, Ministry of Public Health, Nonthaburi, Thailand.

Author Contributions

V.M., V.T., and S.C. participated in the study design, wrote the protocol, and collected the data. V.M. and U.J. performed the statistical analyses. V.M. wrote this study. V.M., S.C., and P.P. coordinated, reviewed, and supervised the study. W.M. reviewed the data and revised the text. All authors have read and agreed to the published version of the manuscript.

References

1.

Rothan HA , Byrareddy SN. , The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun. 2020;109:102433. Google Scholar

3.

Xu L , Zhang X , Song W , et al. Conjunctival polymerase chain reaction-tests of 2019 Novel coronavirus in patients in Shenyang, China. Preprint. Published online February 20, 2020. medRxiv. doi: https://doi.org/10.1101/2020.02.23.20024935 Google Scholar

4.

Ong SWX , Tan YK , Chia PY , et al. Air, surface environmental, and personal protective equipment contamination by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from a symptomatic patient. JAMA. 2020;323:1610. Google Scholar

5.

Jung SM , Akhmetzhanov AR , Hayashi K , et al. Real-time estimation of the risk of death from novel coronavirus (COVID-19) infection: inference using exported cases. J Clin Med. 2020;9:e523. Google Scholar

6.

Hellewell J , Abbott S , Gimma A , et al.; Centre for the mathematical modelling of infectious diseases COVID-19 working group. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. Lancet Glob Health. 2020;8:e488–e496. Google Scholar

7.

Mehta NS , Mytton OT , Mullins EWS , et al. What do we know about children? A systematic review. Clin Infect Dis. 2020;71:2469-2479. doi: 10.1093/cid/ciaa556 Google Scholar

8.

Regly E. , Italian doctors’ fatalities reach tragic levels as they fight COVID-19 in overburdened hospitals. The Globe and Mail. 2020. Accessed March 25, 2020.  https://www.theglobeandmail.com/world/article-italian-doctors-fatalities-reach-tragiclevels-as-they-fight-covid-1/ Google Scholar

9.

Chen Q , Quan B , Li X , et al. A report of clinical diagnosis and treatment of nine cases of coronavirus disease 2019. J Med Virol. 2020;92:683–687. Google Scholar

10.

Wang D , Hu B , Hu C , et al. Clinical Characteristics of 138 hospitalized patients with 2019 Novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020;323:1061–1069. Google Scholar

11.

Ippolito M , Gregoretti C , Cortegiani A , Iozzo P. , Counterfeit filtering facepiece respirators are posing an additional risk to health care workers during COVID-19 pandemic. Am J Infect Control. 2020;48:853–854. Google Scholar

12.

European Centre for Disease Prevention and Control. Novel coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK–sixth update. ECDC; 2020. Google Scholar

13.

Zhang Z , Liu S , Xiang M , et al. Protecting healthcare personnel from 2019-nCoV infection risks: lessons and suggestions. Front Med. 2020;14:229–231. Google Scholar

14.

WHO Director. General’s opening remarks at the media briefing on 2019 novel coronavirus, 2020. Accessed March 23, 2020.  https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-2019-novel-coronavirus-7-february-2020 Google Scholar

15.

Ferioli M , Cisternino C , Leo V , Pisani L , Palange P , Nava S. , Protecting healthcare workers from SARS-CoV-2 infection: practical indications. Eur Respir Rev. 2020;29:200068. Google Scholar

16.

Public Health England. Guidance. Reducing the risk of transmission of COVID-19 in the hospital setting Updated7April2020. PHE; 2020. Google Scholar

17.

Centers for Diseases Control and Prevention. Interim U.S. guidance for risk assessment and public health management of healthcare personnel with potential exposure in a healthcare setting to patients with Coronavirus Disease (COVID-19). CDC; 2020. Google Scholar

18.

Republic of Turkey Ministry of Health. Public health general directorate. COVID-19 (SARS-CoV-2) infection guideline. COVID-19 medical advisory committee study. Republic of Turkey Ministry of Health; 2020. Google Scholar

19.

Seah I , Agrawal R. , Can the coronavirus disease 2019 (COVID-19) affect the eyes? A review of coronaviruses and ocular implications in humans and animals. Ocul Immunol Inflamm. 2020;28:391–395. Google Scholar

20.

Livingston E , Desai A , Berkwits M . Sourcing personal protective equipment during the COVID-19 pandemic. 2020. Accessed April 17, 2020.  https://jamanetworkcom/journals/jama/fullarticle/2764031 Google Scholar

21.

WHO. Rational use of personal protective equipment for coronavirus disease (COVID-19). 2020. Accessed April 17, 2020.  https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/infection-prevention-and-control Google Scholar

22.

Cook TM. , Personal protective equipment during the coronavirus disease (COVID) 2019 pandemic - a narrative review. Anaesthesia. 2020;75:920–927. Google Scholar

23.

World Health Organization. WHO guidelines on hand hygiene in health care. World Health Organization; 2009. Google Scholar

24.

World Health Organization. Infection prevention and control during health care when COVID-19 is suspected: interim guidance 19 March 2020. WHO; 2020. Google Scholar

25.

Centers for Diseases Control and Prevention. Interim infection prevention and control recommendations for patients with suspected or confirmed coronavirus disease 2019 (COVID-19) in healthcare settings. CDC; 2020. Google Scholar

26.

Tan SS , Yan B , Saw S , et al. Practical laboratory considerations amidst the COVID-19 outbreak: early experience from Singapore. J Clin Pathol. 2021;74:257–260. Google Scholar

27.

WHO Thailand. Coronavirus disease 2019 (COVID-19). 2020. Accessed April 17, 2020.  https://www.who.int/docs/default-source/searo/thailand/2020-05-04-tha-sitrep-71-covid19-final.pdf?sfvrsn=5766517c_2 Google Scholar

28.

Wua YC , Chena CS , Chan YJ. , The outbreak of COVID-19: an overview. J Chin Med Assoc. 2020;83:217–220. Google Scholar

29.

Liang T. , Handbook of COVID-19 prevention and treatment. Zhejiang University School of Medicine; 2020. Google Scholar

30.

World Health organization. Q&A: considerations for the cleaning and disinfection of environmental surfaces in the context of COVID-19 in non-health care settings. 2020. Accessed April 17, 2020.  https://www.who.int/news-room/q-a-detail/q-a-considerations-for-the-cleaning-and-disinfection-of-environmental-surfaces-in-the-context-of-covid-19-in-non-health-care-settings Google Scholar

31.

Elhadi M , Msherghi A , Elgzairi M , et al. Assessment of the preparedness of obstetrics and gynecology healthcare systems during the COVID-19 pandemic in Libya. Int J Gynaecol Obstet. 2020;150:406–408. Google Scholar

32.

Elhadi M , Msherghi A , Elkhafeefi F , et al. Impact of COVID-19 pandemic on neonatologists in resource-limited country. J Matern Fetal Neonatal Med. Published online August 17, 2020. doi: https://doi.org/10.1080/14767058.2020.1808619 Google Scholar

33.

Olum R , Chekwech G , Wekha G , Nassozi DR , Bongomin F. , Coronavirus disease-2019: Knowledge, attitude, and practices of health care workers at Makerere University Teaching Hospitals, Uganda. Front Public Health. 2020;8:181. Google Scholar

34.

Moolasart V , Manosuthi W , Thienthong V , et al. Prevalence and risk factors of healthcare-associated infections in Thailand 2018: a point-prevalence survey. J Med Assoc Thai. 2019;102:1309–1316. Google Scholar

35.

Zhong B , Luo W , Li H , et al. Knowledge, attitudes and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020;16:1745–1752. Google Scholar

36.

Bhagavathula A , Aldhaleei W , Rahmani J , Mahabadi M , Bandari D . Novel Coronavirus (COVID-19) knowledge and perceptions: a survey of healthcare workers. Preprint. Published online January 1, 2020. MedRxiv. doi: https://doi.org/10.1101/2020.03.09.20033381 Google Scholar

37.

Tabah A , Ramanan M , Laupland KB , et al. Personal protective equipment and intensive care unit healthcare worker safety in the COVID-19 era (PPE-SAFE): an international survey. J Crit Care. 2020;59:70–75. Google Scholar

38.

Elhadi M , Msherghi A , Alkeelani M , et al. Assessment of healthcare workers’ levels of preparedness and awareness regarding COVID-19 infection in low-resource settings. Am J Trop Med Hyg. 2020;103:828–833. Google Scholar

39.

Yamane T . Statistic: an introductory analysis. Harper International Edition; 1970:886–887. Google Scholar

40.

Zhu N , Zhang D , Wang W , et al. China novel coronavirus investigating and research team. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382:727–733. Google Scholar

41.

World Health organization. Shortage of personal protective equipment endangering health workers worldwide. 2020. Accessed April 17, 2020.  https://www.who.int/news-room/detail/03-03-2020-shortage-of-personal-protective-equipment-endangering-health-workers-worldwide Google Scholar

42.

Elhadi M , Msherghi A , Alkeelani M , et al. Concerns for low-resource countries, with under-prepared intensive care units, facing the COVID-19 pandemic. Infect Dis Health. 2020;25:227–232. Google Scholar

43.

Mishra D , Nair AG , Gandhi RA , et al. The impact of COVID-19 related lockdown on ophthalmology training programs in India - outcomes of a survey. Indian J Ophthalmol. 2020;68:999–1004. Google Scholar
© The Author(s) 2021 This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Visal Moolasart, Weerawat Manosuthi, Varaporn Thienthong, Uajai Jaemsak, Winnada Kongdejsakda, Pimonamorn Pantool, and Suthat Chottanapund "Optimized and Non-Optimized Personal Protective Equipment Use during the COVID-19 Pandemic in Thailand: A National Cross-Sectional Survey in a Resource-Limited Setting," Environmental Health Insights 15(1), (17 May 2021). https://doi.org/10.1177/11786302211013545
Received: 12 December 2020; Accepted: 26 March 2021; Published: 17 May 2021
KEYWORDS
COVID-19 pandemic
degree
knowledge
Optimized personal protective equipment
Back to Top