Research Article - Onkologia i Radioterapia ( 2021) Volume 15, Issue 11
Saudi adherence to preventive measures from COVID -19; a survey to assess preventive practices as a basis for general community health education
Elhadi Miskeen1*, Abdullah M. Al-Shahrani2, Mohammed Abdullah Alghamdi3, Saad ShalanAlgarni3, Mesfer Naser Alaklobi3, Mohammed Saeed Malhan3, Mohammed Shaya Alqhtani3, Mobarak Falah Alshahrani3, Nasser Ali Alqarni3, Saed Ghanem Almlfi3, Khalid Abdullah M Alghamdi3, Abdullah Alhalafi4, Jaber Ahmed Al-Faifi5 and Ibrahim Awad Eljack42Department of Family Medicine, College of Medicine, University of Bisha, Bisha, Saudi Arabia
3Medical Student, College of Medicine, University of Bisha, Bisha, Saudi Arabia
4Department of Community Medicine, College of Medicine, University of Bisha, Bisha, Saudi Arabia
5Department of Paediatrics, College of Medicine, University of Bisha, Bisha, Saudi Arabia
Elhadi Miskeen, Head of department of Obstetrics and Gynaecology, and Chair of community-based medical education Unit, College of Medicine, University of Bisha, Bisha 61922, P.O. Box 1290, Saudi Arabia, Email: emiskeen@ub.edu.sa, hadimiskeen19@gmail.com
Received: 17-Nov-2021 Accepted: 27-Nov-2021 Published: 30-Nov-2021, DOI: 1896-8961.21.15.27-31
Abstract
Introduction: Preventive behaviour is vital to the success of any intervention in the control of the COVID-19 pandemic addressing community health.
Objectives: To answer the extent to which the Saudi Population is aware and complies with the preventive measures of COVID-19, and to identify the associated factors.
Methodology: This is a descriptive, community-based survey of the Saudi Population. The data was collected using a self-administered questionnaire that included respondent characteristics, and questions about the preventive behaviour towards COVID-19. The IRB of the University of Bisha, College of Medicine gave the ethical clearance.
Result: A total of 1200 people participated in the online survey. Females were 607 (50.6%) and 593 (49.4%) were males. The majority of the Saudi Population had adequate knowledge of COVID-19 preventive measures (71.4%), adherence to preventive measures of COVID-19 was (47.5%). Factors associated with adequate adherence to the preventive measures of COVID-19 were age, occupation, education level, previous suspicion of COVID-19, and contact with infected persons, and a risk factor (p-value <0.05). Adherence to preventive measures as a daily routine practice was significantly associated with age, residence, occupation, suspected COVID-19, and previous infection (p-value <0.05).
Conclusion: Although most of the Saudi Population has adequate knowledge of COVID-19 preventive measures, adherence to preventive measures was low. Therefore, we recommend increasing the awareness and compliance of the people to the preventive measures of COVID-19.
Keywords
COVID-19, adherence, preventive measures, Saudi Arabia
Introduction
The first case of Coronavirus disease 2019 (COVID-19) was reported in Wuhan, China in December 2019. It spread rapidly worldwide and so was declared public health emergency of international concern. It causes severe illness associated with morbidities and mortalities worldwide. Currently, it is now a pandemic [1-5].
While transmission of COVID-19 is primarily via the respiratory tract or contact with infected secretions [2], it can also transmit via nosocomial dissemination [6]. The basis for controlling the outbreak of this disease is to implement measures that could reduce transmission, including isolation, quarantine, social distancing, and community containment [7]. Saudi Arabia responded beautifully to the pandemic, and quickly took unprecedented measures to control transmission [5,8].
One of the key factors affecting control of COVID-19 is community compliance with the control measures put in place. Adherence to these measures depends on public knowledge and attitudes towards COVID-19, which have contributed to pandemic management [9]. In addition, assessment of general knowledge helps identify gaps and strengthen on-going preventive measures. Appropriate changes in public behaviour in response to an outbreak can alter the course of infection and lead to better control of the disease [10].
This study aims to answer the extent to which the Saudi Population is aware of and complies with the preventive measures for COVID-19. This study will provide a base data for general community health education programs.
Methods
This is a descriptive cross-sectional study carried out to answer the extent to which the Saudi Population is aware and complies with the COVID-19 preventive measures. The study was a community-based online survey. The target population comprises the Saudi Arabia population who met the inclusion criteria. The minimum sample size (size calculation) was 384, but all participants who filled the survey form were included.
The sampling of the participants was done using a nonrandomized sampling (convenient sample). Electronic informed consent was obtained from each participant before starting the survey. To assure anonymity, participants’ names were not collected. Participants could withdraw from the survey at any moment without providing any justification. Also, ethical approval for this study was obtained from the Institution review board (IRB), University of Bisha (Ref.No. UBCOM/H-06- BH-087(06/14) before it was carried out. Data were collected using a self-administered questionnaire. It included respondent characteristics and questions about the preventive behaviour towards COVID-19. Participants' knowledge was assessed by using ten questions. These questions were related to maskwearing, hand washing, thermal scanner, using antibiotics in the prevention and treatment of COVID-19, and susceptibility of smokers to infections. Those who answered five or more questions correctly were designated as knowledgeable, and those who answered fewer than five questions correctly were classified as non-knowledgeable. Three out of five questions related to practicing preventive measures assessed adherence to preventive measures of COVID-19. Leaving crowded areas and wearing a mask outside the home were also included. After data collection, the incomplete forms due to withdrawal from the study were excluded. Data were managed and entered into the SPSS version 23. Significant p-value was (0.05 or less).
Results
Of the Saudi population, 1200 people participated in the online survey. Females were 607 (50.6%) and 593 (49.4%) were males. The majority were from urban areas 820 (68.3%), and students were 653 (54.4%). During the current pandemic, 473 (39.4%) were suspected with COVID-19 infection, 210 (17.5%) were infected, 460 (38.3%) had contact with infected people, and 44.3% had at least one risk factor for developing severe disease. Of the population studied, 857 (71.4%) were knowledgeable, and 343 (28.6%) were unaware. Age, sex, residence, and other risk factors were significantly associated with knowledge level (Table 1).
Characteristics | Knowledgeable | Not Knowledgeable | Total | p-value | |
---|---|---|---|---|---|
Age | 18-29 | 580 | 268 | 848 | 0.001 |
30-40 | 169 | 44 | 213 | ||
>40 | 108 | 31 | 139 | ||
Gender | Male | 467 | 140 | 607 | 0 |
Female | 385 | 208 | 593 | ||
Residence | Urban | 606 | 214 | 820 | 0.005 |
Rural | 251 | 129 | 380 | ||
Occupation | Employed | 244 | 81 | 325 | 0.231 |
Not employed | 155 | 67 | 222 | ||
Student | 458 | 195 | 653 | ||
Education | Primary school | 5 | 4 | 9 | 0.171 |
Intermediate | 19 | 10 | 29 | ||
Secondary school | 221 | 105 | 326 | ||
College or university | 612 | 224 | 836 | ||
Suspected | Yes | 327 | 146 | 473 | 0.158 |
No | 530 | 197 | 727 | ||
Infected | Yes | 152 | 58 | 210 | 0.733 |
No | 705 | 285 | 990 | ||
Contacted | Yes | 320 | 140 | 460 | 0.263 |
No | 537 | 203 | 740 | ||
Risk factor | DM | 42 | 16 | 58 | 0.267 |
HTN | 39 | 14 | 53 | 0.243 | |
Asthma | 60 | 34 | 94 | 0.09 | |
Smoking | 79 | 36 | 115 | 0.247 | |
Obesity | 76 | 37 | 113 | 0.194 | |
Other | 78 | 21 | 99 | 0.052 | |
Non | 300 | 368 | 668 | 0.07 |
Tab. 1. Characteristics and general sociodemographic data (n=1200)
The majority of the Saudi population had adequate knowledge of COVID-19 preventive measures (71.4%); adherence to preventive measures of COVID-19 was (47.5%). Nevertheless, there was ambiguity regarding wearing masks for healthy individuals and using antibiotics for prevention and treatment COVID-19 (Table 2).
Knowledge about COVID-19 | Yes | No | Not sure |
---|---|---|---|
In a healthy person, masks are needed to care for suspected COVID individuals | 618 | 479 | 103 |
Wearing masks in case of coughing or sneezing is a must | 927 | 181 | 92 |
Effectiveness of wearing masks is only possible when hand is clean with disinfectants | 709 | 328 | 163 |
Hands to be cleaned with disinfectants before masking | 1006 | 110 | 84 |
Well applied of the masks and ensuring there is no space is a must | 909 | 149 | 142 |
Touching the mask should be avoided, and use the disinfectants if you feel it | 849 | 181 | 170 |
Mask should not be reused and it should be changed if it becomes damp | 1099 | 52 | 49 |
The thermal scanner can detect an afebrile person | 629 | 344 | 227 |
For the prevention of treatment of COVID-19, antibiotics are effective | 296 | 433 | 471 |
The smoker is at higher risk of COVID-19 than others | 732 | 141 | 327 |
*The bold and underline are the correct answers |
Tab. 2. Participant's response to knowledge questions related to COVID-19 (N=1200)
Participants who were adhered to the preventive measures of the Ministry of Health were 901 (75.1%). This study examined the most important preventive measures, such as avoiding crowded areas, wearing a mask outside the home, and other preventive measures in general in the control of COVID-19 pandemic-572 (47.7%). Age, occupation, education, suspicion of COVID -19, contact with an infected person, and presence of a risk factor were significant factors (p-value<0.05). Of the participants, 1049 (87.4%) wore masks when they left the house in the past few days. Mask wearing was significantly associated with age, sex, residence, occupation, presence of an infected person, and risk factors (p-value 0.05). Preventive measures as daily practice activities were performed by 1082 (90.2%) with significant association with age, residence, occupation, suspected infection, or presence of disease to COVID-19 (p-value=0.05), details in (Table 3).
Variable | Category | Visit crowded areas recently | p-value | Worn a mask outside the house, in near days | p-value | Generally, they are committed to the MOH advises for COVID-19 prevention | p-value | |||
---|---|---|---|---|---|---|---|---|---|---|
No | Yes | No | Yes | No | Yes | |||||
Age | 18-29 | 379 | 469 | 0.05 | 120 | 728 | 0.01 | 107 | 741 | 0 |
30-40 | 119 | 94 | 9 | 204 | 6 | 207 | ||||
>40 | 74 | 65 | 15 | 124 | 5 | 134 | ||||
Gender | Male | 312 | 288 | 0.08 | 93 | 507 | 0.01 | 48 | 552 | 0.06 |
Female | 256 | 337 | 51 | 542 | 70 | 523 | ||||
Residence | Urban | 391 | 429 | 0.98 | 80 | 740 | 0.01 | 71 | 749 | 0.04 |
Rural | 181 | 199 | 64 | 316 | 47 | 333 | ||||
Occupation | Employed | 150 | 175 | 0.01 | 30 | 295 | 0.05 | 21 | 304 | 0.02 |
Not employed | 135 | 87 | 22 | 200 | 15 | 207 | ||||
Student | 287 | 366 | 92 | 561 | 82 | 571 | ||||
Education | Primary | 9 | 0 | 0.01 | 1 | 8 | 0.54 | 1 | 8 | 0.07 |
Intermediate | 11 | 18 | 6 | 23 | 2 | 27 | ||||
Secondary | 173 | 153 | 39 | 287 | 44 | 282 | ||||
university | 379 | 457 | 98 | 738 | 71 | 765 | ||||
Suspected | Yes | 390 | 337 | 0.01 | 80 | 647 | 0.18 | 61 | 666 | 0.03 |
No | 182 | 291 | 64 | 409 | 57 | 416 | ||||
Infected | Yes | 481 | 509 | 0.16 | 110 | 880 | 0.04 | 88 | 902 | 0.01 |
No | 91 | 119 | 34 | 176 | 30 | 180 | ||||
Contacted | Yes | 417 | 323 | 0 | 95 | 645 | 0.25 | 69 | 671 | 0.45 |
No | 155 | 305 | 49 | 411 | 49 | 411 | ||||
Risk factor | DM | 31 | 27 | 0.04 | 12 | 46 | 0 | 3 | 55 | 0.2 |
HTN | 26 | 27 | 10 | 43 | 4 | 49 | ||||
Asthma | 44 | 50 | 18 | 76 | 12 | 82 | ||||
Smoking | 38 | 77 | 13 | 102 | 14 | 101 | ||||
Obesity | 49 | 64 | 20 | 93 | 11 | 102 | ||||
Other | 52 | 47 | 12 | 87 | 7 | 92 | ||||
None | 960 | 908 | 1115 | 753 | 1149 | 719 |
Tab. 3. Factors affecting the adherence to the MOH preventive advice of COVID-19 (n=1200)
Discussion
Saudi Arabia's response to the pandemic was quick and effective, and the control strategies were remarkable and innovative. In addition, this study provided important insights into preventive behaviour among the Saudi Population.
In this study, more than two-thirds (71.4%) of the participants were knowledgeable about COVID-19. The level of knowledge of the Saudi Population about COVID-19 was better than 63.5% in Ethiopia [11], 63% in Iran [12], and 61.6% in a binational study in Egypt and Nigeria [13]. However, knowledge level was lower compared to 80.5% in Malaysia [14], and 90% in China [15,16]. Saudi population knowledge about COVID-19 prevention reflected in this study was significantly better than other parts of the world [17-19]. The possible reason could be adequate access to information. The difference in the knowledge rates may be due to the variation of the assessment tools and methods that were used.
In this study, being 18-29 years old, male, living in urban area, and having a risk factor for contagion significantly impacted knowledge about the COVID-19 pandemic. These results were strongly consistent with studies in the United States [20] and Australia [21]. These data represented the Saudi Population's active groups who had easy access to information, and the channel of information dissemination was on reach. In addition, most of the information was disseminated through mass media, mobile and social media, which were used frequently.
In this study, less than half of the participants (47.5%) adhere to the MOH measures of COVID-19 prevention. There was wide variation in adherence to COVID-19 prevention measures [20] since prevention measures were first introduced to the public [22]. Adherence to preventive measures was unfortunately low compared to different populations, such as Ethiopia (52.7%) [23], America (67%) [24]. The level of adherence was comparable to a study conducted in Jedda city (Western of Saudi Arabia), where 49% adherence was reported. The low adherence to COVID-19 preventive measures despite sufficient knowledge could be explained by the popularity of the Saudi population’s culture, especially in rural areas where social events are more important to them. Also, online learning in most schools and universities contributed to making much time available for social gatherings.
In this study, age, occupation, education level, previous suspicion of COVID-19, contact with infected persons, and presence of a risk factor were the main factors influencing adequate adherence. The predictive factors identified in this study were consistent with recent studies [20,24,25]. The predictive factors of adherence to the preventive measures in Saudi Arabia could be used to design future prevention programs, especially during the Hajj season when the country receives millions of pilgrims from approximately all over the world annually.
This study indicated that preventive behaviours as a daily routine practice including wearing of mask when leaving home were dependent on age, sex, residence, occupation, infection, or suspected infection with COVID-19. These factors were consistent with previous findings [19,20,25,26]. Avoiding crowded places, wearing masks when leaving the house, and other preventative measures, in general, are essential components for preventing the COVID-19 pandemic. Addressing these issues as part of comprehensive health promotion will help in eliminating infections.
Conclusions
Although most of the Saudi population has adequate knowledge of COVID-19 preventive measures, adherence to these measures was low. Therefore, we recommend increasing the awareness of COVID-19 preventive measures, and also encourage compliance of the people to these preventive measures. In addition, comprehensive behaviour change education programs will increase community involvement and make the information available.
Author Contributions
All the authors contributed to the conception and design of the work, drafting the work, made the final approval of the version to be published, and agreed to be accountable for all aspects of the work.
Ethical Approval and Consent
This study was conducted in accordance with the Declaration of Helsinki. Institutional Review Board (IRB) number (Ref. No. UBCOM/H-06-BH-087 (06/14) was obtained from the University of Bisha, Saudi Arabia. Each participant gave Informed consent and then enrolled in the study.
References
- Zhang S-F, Tuo J-L, Huang X-B, Zhu X, Xu L, et al. Epidemiology characteristics of human coronaviruses in patients with respiratory infection symptoms and phylogenetic analysis of HCoV-OC43 during 2010-2015 in Guangzhou. PLoS One. 2018;13:0191789.
- ZHOU, Peng, Yang Xl, Deng F, Li B, et al. Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin. BioRxiv. 2020.
- QADAH T. Knowledge and attitude among healthcare workers towards COVID-19: a cross-sectional study from Jeddah city, Saudi Arabia. J Infect Dev Ctries, 2020;14:1090-1097.
- ZHONG B, Luo W, Li M, Zhang Q, Li W, 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.
- KHALED A, SIDDIQUA A, MAKKI S. The knowledge and attitude of the community from the Aseer Region, Saudi Arabia, toward COVID-19 and their precautionary measures against the disease. Risk Manag Healthc Policy. 2020;13:1825.
- CHAN W, Yuan S, Kok K, To K, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The lancet. 2020;395:514-523.
- Pang J, Wang MX, Ang IY, Tan SH, Lewis RF, et al. Potential rapid diagnostics, vaccine and therapeutics for 2019 novel coronavirus (2019-nCoV): a systematic review. J Clin Med. 2020;9:623.
- EBRAHIM H, MEMISH A. Saudi Arabia’s measures to curb the covid-19 outbreak: temporary suspension of the Umrah pilgrimage. J Travel Med. 2020;25:219-221
- CHIRWA GC. Socio-economic inequality in comprehensive knowledge about HIV in Malawi. Malawi Medical Journal. 2019;31:104-111.
- Funk S, Gilad E, Watkins C, Jansen VA. The spread of awareness and its impact on epidemic outbreaks. Proc Natl Acad Sci U S A. 2009;106:6872-6877.
- Bante A, Mersha A, Tesfaye A, Tsegaye B, Shibiru S, et al. Adherence with COVID-19 Preventive Measures and Associated Factors Among Residents of Dirashe District, Southern Ethiopia. Patient preference and adherence. 2021;15:237-249.
- Honarvar B, Lankarani KB, Kharmandar A, Shaygani F, Zahedroozgar M, et al. Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran. Int J Public Health. 2020;65:1-9.
- Elnadi H, Odetokun IA, Bolarinwa O, Ahmed Z, Okechukwu O, et al. Correction: Knowledge, attitude, and perceptions towards the 2019 Coronavirus Pandemic: A bi-national survey in Africa. Plos one. 2021;17:16:e0247351.
- Mohamad EM, Azlan AA, Hamzah MR, Tham JS, Ayub SH. Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. medRxiv. 2020
- Sun Z, Yang B, Zhang R, Cheng X. Influencing factors of understanding COVID-19 risks and coping behaviors among the elderly population. Int J Environ Res Public Health. 2020;17:5889.
- Reuben RC, Danladi MM, Saleh DA, Ejembi PE. Knowledge, attitudes and practices towards COVID-19: an epidemiological survey in North-Central Nigeria. J. Community Health. 2021;46:457-470.
- Byanaku A, Ibrahim M, Rugrabamu S. Knowledge, attitudes, and practices (KAP) towards COVID-19: a quick online cross-sectional survey among Tanzanian residents. MedRxiv. 2020;2:1254
- Roy D, Tripathy S, Kar SK, Sharma N, Verma SK, et al. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatr. 2020;51:102083
- Al Ahdab S. Knowledge, Attitudes, and Practices (KAP) towards pandemic COVID-19 among Syrians. Res Square. 2020.
- Weiss BD, Paasche-Orlow MK. Disparities in adherence to COVID-19 public health recommendations. HLRP. 2020;4:e171-e173.
- Sun Z, Yang B, Zhang R, Cheng X. Influencing factors of understanding COVID-19 risks and coping behaviors among the elderly population. Int J Environ Res Public Health. 2020;17:5889.
- Liu PL. COVID-19 information seeking on digital media and preventive behaviors: the mediation role of worry. Cyberpsychology, Behavior, and Social Networking. 2020;23:677-682.
- Akalu Y, Ayelign B, Molla MD. Knowledge, attitude and practice towards COVID-19 among chronic disease patients at Addis Zemen Hospital, Northwest Ethiopia. Infect Drug Resist. 2020;13:1949-1960.
- Block Jr R., Berg A., Lennon RP, Miller EL, Nunez-Smith M. African American adherence to COVID-19 public health recommendations. Health Lit Res Pract. 2020;4:e166-e170.
- Almutiri TM, Alzhrani WH, Alraddadi R. Adherence to COVID-19 preventive measures and its predictors among the population of Jeddah City 2020. IJMDC. 2020;4:2247-2252.
- Alshammary F, Siddiqui AA, Amin J, Ilyas M, Rathore HA, et al. Prevention knowledge and its practice towards COVID-19 among general population of Saudi Arabia: a gender-based perspective. Curr Pharm Des. 2021;27:1642-1648.