| Literature DB >> 35897405 |
Nobuyuki Wakui1, Mayumi Kikuchi2, Risa Ebizuka1, Takahiro Yanagiya2, Chikako Togawa1, Raini Matsuoka1, Nobutomo Ikarashi3, Miho Yamamura1, Shunsuke Shirozu1, Yoshiaki Machida1, Kenichi Suzuki1, Hajime Kato2.
Abstract
Vaccination is crucial for preventing the spread of COVID-19. Vaccination for COVID-19 was implemented in Japan in community units, and community pharmacists were engaged in vaccine preparation. Capturing the knowledge, attitudes, and practices (KAP) of pharmacists regarding COVID-19 infection control is important for developing future community health action strategies and plans. We conducted a cross-sectional study among 141 pharmacists who were members of a pharmacist association in the Shinagawa Ward of Tokyo (1-31 July 2021) using a Google online questionnaire. The questionnaire included demographic information and KAP questions regarding COVID-19. A correlation test was used for analyzing KAP scores. Significant correlations were found among all KAP scores. Stepwise logistic regression analysis showed "age" as a significant knowledge factor and "marriage", "pharmacist careers", "information source: official government website", and "information source: word of mouth from family and friends" as significant attitude factors. Good KAP scores were recorded in this study, indicating increased comprehension of infection control measures and increased knowledge scores, as pharmacy pharmacists were practically involved in COVID-19 infection control measures through vaccine preparation. Policymakers should understand the value of pharmacists as healthcare professionals and should enhance public health through the effective use of pharmacists.Entities:
Keywords: COVID-19; KAP; infection control; pharmacist; public health; vaccinations
Mesh:
Substances:
Year: 2022 PMID: 35897405 PMCID: PMC9331880 DOI: 10.3390/ijerph19159035
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flowchart of the cross-sectional study.
Participant characteristics (n = 141).
| Variable | |
|---|---|
|
| 44.8 ± 11.9 |
|
| |
| Men | 49 (34.8%) |
| Women | 92 (65.2%) |
|
| |
| Married | 97 (68.8%) |
| Unmarried | 44 (31.2%) |
|
| |
| 4-year university | 93 (66.0%) |
| 6-year university | 32 (22.7%) |
| Master’s degree/Doctoral degree | 16 (11.3%) |
|
| |
| Less than 10 years | 46 (32.6%) |
| 10 years or more and less than 20 years | 39 (27.7%) |
| Over 20 years | 56 (39.7%) |
|
| |
| Official website and media of the WHO or CDC | 32 (22.7%) |
| Official government website and media | 101 (71.6%) |
| Media such as news (TV, radio, internet, magazines, and newspapers) | 124 (87.9%) |
| Social media (Facebook, Twitter, and Instagram) | 50 (35.5%) |
| Word of mouth from family/friends | 28 (19.9%) |
| Original paper | 12 (8.5%) |
| I don’t remember | 2 (1.4%) |
Respondents’ answers on COVID-19 knowledge items.
| Correct | Incorrect | Don’t Know | ||
|---|---|---|---|---|
| K1 | COVID-19 is caused by beta coronavirus. | 59 (41.8%) | 16 (11.3%) | 66 (46.8%) |
| K2 | COVID-19 is transmitted by food intake. | 100 (70.9%) | 24 (17.0%) | 17 (12.1%) |
| K3 | Common clinical symptoms of COVID-19 are fever, dry cough, dyspnea, and malaise. | 128 (90.8%) | 8 (5.7%) | 5 (3.5%) |
| K4 | Sneezing, runny nose, stuffy nose, and headache are less common symptoms of COVID-19. | 36 (25.5%) | 96 (68.1%) | 9 (6.4%) |
| K5 | PCR can be used to diagnose COVID-19. | 126 (89.4%) | 11 (7.8%) | 4 (2.8%) |
| K6 | Washing your hands with soap and water for at least 30 s is effective in preventing COVID-19 infection. | 132 (93.6%) | 6 (4.3%) | 3 (2.1%) |
| K7 | Loss of taste and smell is characteristic of COVID 19 infection. | 129 (91.5%) | 9 (6.4%) | 3 (2.1%) |
| K8 | Symptom-free COVID-19 patients (during the incubation period) do not spread the virus to others. | 136 (96.5%) | 0 (0%) | 5 (3.5%) |
| K9 | COVID-19 infection spreads through the infected person’s respiratory droplets. | 137 (97.2%) | 1 (0.7%) | 3 (2.1%) |
| K10 | The incubation period of coronavirus is 1 to 14 days. | 126 (89.4%) | 8 (5.7%) | 7 (5.0%) |
| K11 | Elderly people, patients with chronic illness, DM, COPD can be severe. | 137 (97.2%) | 0 (0%) | 4 (2.8%) |
| K12 | Shaking hands and avoiding crowded areas and public transport can prevent COVID-19 infection. | 135 (95.7%) | 2 (1.4%) | 4 (2.8%) |
| K13 | Keeping social distance is effective in preventing the spread of COVID-19. | 135 (95.7%) | 1 (0.7%) | 5 (3.5%) |
| K14 | Antibiotics are the first-line drug if COVID-19 infection is suspected or confirmed. | 121 (85.8%) | 8 (5.7%) | 12 (8.5%) |
| K15 | Early response and supportive care are effective in recovering from infection, as there is no effective treatment for COVID-19. | 123 (87.2%) | 8 (5.7%) | 10 (7.1%) |
| K16 | Isolating and treating individuals infected with COVID-19 is an effective way to break the chain of infection. | 138 (97.9%) | 0 (0%) | 3 (2.1%) |
| K17 | Large-scale group activities can spread COVID-19 infection. | 138 (97.9%) | 0 (0%) | 3 (2.1%) |
| Knowledge Score | 14.4 ± 2.5 | |||
Of the questions K1–K17, “No” is the correct answer for questions K2: “COVID-19 is transmitted by food intake”, K8: “Symptom-free COVID-19 patients (during the incubation period) do not spread the virus to others”, and K14: “Antibiotics are the first-line drug if COVID-19 infection is suspected or confirmed”. “Yes” is the correct answer for all the other questions—K1, K3, K4, K5, K6, K7, K9, K10, K11, K12, and K13.
Respondents’ answers on COVID-19 attitudes.
| Yes | No | ||
|---|---|---|---|
| A1 | I would like to be vaccinated with COVID-19 (answer “yes” if already vaccinated). | 133 (94.3%) | 8 (5.7%) |
| A2 | I am motivated to be involved in citizens’ vaccination work (such as vaccine filling). | 112 (79.4%) | 29 (20.6%) |
| A3 | I don’t think there is any problem even if vaccination by a pharmacist is approved as in overseas. | 96 (68.1%) | 45 (31.9%) |
| A4 | If vaccination by a pharmacist is approved, I am willing to vaccinate the public. | 90 (63.8%) | 51 (36.2%) |
| A5 | If vaccination by a pharmacist is approved at a dispensing pharmacy like overseas, I think it will be a great advantage for local residents. | 115 (81.6%) | 26 (18.4%) |
| A6 | If vaccination becomes possible at local pharmacies, I think it can contribute to improving the vaccination rate of local residents. | 116 (82.3%) | 25 (17.7%) |
| A7 | I think pharmacists can contribute to vaccination of local residents from the public health and social aspects. | 129 (91.5%) | 12 (8.5%) |
| A8 | In order to popularize antibody testing, I think it’s okay for pharmacists to do antibody testing at pharmacies. | 109 (77.3%) | 32 (22.7%) |
| A9 | I think that vaccination can prevent the spread of COVID-19. | 133 (94.3%) | 8 (5.7%) |
| A10 | Ultimately, I think we can completely control the infection of COVID-19. | 45 (31.9%) | 96 (68.1%) |
| A11 | I think healthcare professionals need to be aware of all information regarding COVID-19. | 122 (86.5%) | 19 (13.5%) |
| A12 | I think all information related to COVID-19 needs to be shared with other healthcare professionals. | 136 (96.5%) | 5 (3.5%) |
| A13 | I think the spread of COVID-19 can be prevented by taking the precautionary measures indicated by WHO and the government. | 97 (68.8%) | 44 (31.2%) |
| A14 | I think it is necessary to use gowns, gloves, masks, and face shields when dealing with patients with COVID-19. | 117 (83.0%) | 24 (17.0%) |
| A15 | I think it is the pharmacist’s social mission to work together to curb the spread of COVID-19 infection. | 138 (97.9%) | 3 (2.1%) |
| A16 | I understand that this infection is very infectious. | 138 (97.9%) | 3 (2.1%) |
| Attitude score | 13.0 ± 2.6 | ||
Respondents’ answers on COVID-19 practices.
| Yes | No | ||
|---|---|---|---|
| P1 | I have attended workshop for COVID-19 infection prevention. | 76 (53.9%) | 65 (46.1%) |
| P2 | I keep a social distance with others to prevent infection. | 138 (97.9%) | 3 (2.1%) |
| P3 | When I touch the front door, which is touched by an unspecified number of people, I open and close it while being careful of infection. | 120 (85.1%) | 21 (14.9%) |
| P4 | I wash my hands with soap routinely. | 138 (97.9%) | 3 (2.1%) |
| P5 | I avoid crowds as much as possible. | 129 (91.5%) | 12 (8.5%) |
| P6 | I avoid meeting friends and relatives. | 125 (88.7%) | 16 (11.3%) |
| P7 | I try not to touch my eyes, nose, and mouth as much as possible. | 124 (87.9%) | 17 (12.1%) |
| P8 | When dealing with the belongings of a patient suspected of having a corona infection, I take care to prevent infection. | 136 (96.5%) | 5 (3.5%) |
| P9 | I try not to take the elevator as much as possible. | 58 (41.1%) | 83 (58.9%) |
| P10 | When I sneeze or cough, I cover my nose and mouth with a tissue or handkerchief. | 137 (97.2%) | 4 (2.8%) |
| P11 | To prevent infection, I always try to throw used tissue in the trash. | 138 (97.9%) | 3 (2.1%) |
| Practice score | 9.4 ± 1.4 | ||
Correlations between knowledge, attitude, and practice scores.
| Correlation (r) | ||
|---|---|---|
| Knowledge and Attitude | 0.44 | <0.001 |
| Knowledge and Practice | 0.21 | 0.01 |
| Attitude and Practice | 0.32 | <0.001 |
Evaluation of attribute factors related to KAP using univariate logistic regression analysis.
| Characteristics | Category | Good Knowledge | Good Attitude | Good Practice | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |||||
| Age | 20–29 years | 1 | 1 | 1 | ||||||
| 30–39 years | 6.3 | 1.58–25.08 | 0.009 | 1.11 | 0.34–3.64 | 0.859 | 2.49 | 0.64–9.70 | 0.188 | |
| 40–49 years | 11.1 | 2.52–48.84 | 0.001 | 1.75 | 0.54–5.67 | 0.351 | 1.85 | 0.53–6.38 | 0.332 | |
| 50–59 years | 3.75 | 1.06–13.31 | 0.041 | 1.06 | 0.32–3.48 | 0.923 | 1.33 | 0.38–4.67 | 0.659 | |
| 60 over | 16.2 | 1.78–147.06 | 0.013 | 1.00 | 0.27–3.74 | 1.000 | 2.46 | 0.51–11.80 | 0.260 | |
| Sex | Men | 0.52 | 0.21–1.28 | 0.154 | 1.00 | 0.48–2.09 | 0.996 | 0.53 | 0.23–1.20 | 0.126 |
| Women | 1 | 1 | 1 | |||||||
| Marital Status | Married | 2.93 | 1.18–7.31 | 0.021 | 0.42 | 0.18–0.97 | 0.041 | 1.97 | 0.86–4.54 | 0.110 |
| Unmarried | 1 | 1 | 1 | |||||||
| Academic background | 4-year university | 1 | 1 | 1 | ||||||
| 6-year university | 0.30 | 0.11–0.78 | 0.014 | 0.70 | 0.30–1.59 | 0.391 | 1.04 | 0.40–2.74 | 0.934 | |
| Master’s degree/Doctoral degree | 0.94 | 0.19–4.70 | 0.939 | 2.06 | 0.55–7.79 | 0.285 | 2.04 | 0.43–9.71 | 0.370 | |
| Pharmacist career | Less than 10 years | 1 | 1 | 1 | ||||||
| 10 years or more and less than 20 years | 1.22 | 0.43–3.41 | 0.708 | 2.27 | 0.85–6.06 | 0.101 | 1.73 | 0.57–5.21 | 0.331 | |
| Over 20 years | 4.09 | 1.20–13.87 | 0.024 | 0.98 | 0.44–2.19 | 0.955 | 1.04 | 0.41–2.60 | 0.934 | |
| Source of information on COVID-19 | Official website and media of the WHO or CDC | 1.48 | 0.46–4.71 | 0.509 | 1.99 | 0.79–5.02 | 0.145 | 2.19 | 0.70–6.83 | 0.176 |
| Official government website and media | 1.8 | 0.71–4.58 | 0.215 | 2.48 | 1.16–5.31 | 0.019 | 1.35 | 0.57–3.21 | 0.498 | |
| Media such as news (TV, radio, internet, magazines, and newspapers) | 1.11 | 0.29–4.24 | 0.874 | 0.4 | 0.11–1.48 | 0.172 | 0.77 | 0.21–2.88 | 0.697 | |
| Social media (Facebook, Twitter, and Instagram) | 1.04 | 0.41–2.65 | 0.941 | 1.05 | 0.50–2.19 | 0.907 | 1.13 | 0.48–2.64 | 0.784 | |
| Word of mouth from family/friends | 0.65 | 0.23–1.84 | 0.416 | 0.4 | 0.17–0.92 | 0.032 | 0.48 | 0.19–1.21 | 0.121 | |
| Original paper | 0.35 | 0.09–1.26 | 0.108 | 0.97 | 0.28–3.39 | 0.956 | 1.39 | 0.29–6.70 | 0.684 | |
Extraction of attribute factors related to knowledge, attitudes, and practices by stepwise logistic regression analysis.
| Characteristics | Category | Good Knowledge | Good Attitude | ||||
|---|---|---|---|---|---|---|---|
| Adjusted OR | 95% CI | Adjusted OR | 95% CI | ||||
| Age | 20–29 years | 1 | |||||
| 30–39 years | 6.3 | 1.58–25.08 | 0.009 | ||||
| 40–49 years | 11.1 | 2.52–48.84 | 0.001 | ||||
| 50–59 years | 3.75 | 1.06–13.31 | 0.041 | ||||
| 60 over | 16.2 | 1.78–147.06 | 0.013 | ||||
| Sex | Men | ||||||
| Women | |||||||
| Marital Status | Married | 0.37 | 0.15–0.90 | 0.029 | |||
| Unmarried | 1 | ||||||
| Academic background | 4-year university | ||||||
| 6-year university | |||||||
| Master’s degree/Doctoral degree | |||||||
| Pharmacist career | Less than 10 years | ||||||
| 10 years or more and less than 20 years | |||||||
| Over 20 years | |||||||
| Source of information on COVID-19 | Official website and media of the WHO or CDC | ||||||
| Official government website and | 2.81 | 1.26–6.26 | 0.012 | ||||
| Media such as news (TV, radio, internet, magazines, and newspapers) | |||||||
| Social media (Facebook, Twitter, and Instagram) | |||||||
| Word of mouth from family/friends | 0.38 | 0.16–0.91 | 0.030 | ||||
| Original paper | |||||||
Stepwise logistic regression analysis was performed with Age, Sex, Marital Status, Academic Background, Pharmacist Career, and Source of Information on COVID-19 as explanatory variables. As a result, Age was extracted for Good Knowledge, and Marital Status, Official Government Website and Media, and Word of Mouth from Family/Friends were extracted as important variables for Good Attitude. Variables in blank cells were not extracted as significant variables.