Study design
This cross-sectional survey was coordinated by Bambino Gesù Children’s Hospital and conducted in Italy from the end of February to the first week of May 2020.
The survey was set up using SurveyMonkey® and the link to the survey was circulated online through Facebook and Whatsapp closed groups. The study participants were HCWs, including general practitioners, paediatricians, consultants, postgraduate trainees, and other health professionals (nurses, midwives, physiotherapists etc.).
Data was collected using a structured questionnaire that comprised 31 predefined responses, including the demographic, scope of knowledge (K), awareness (A) and practice (P) assessment sections.
The first section of the questionnaire consisted of 6 questions regarding demographic details and professional profile. Section two consisted of 2 questions about the risk perception of HCWs and patients. Section three consisted of 7 questions focusing on the knowledge level of HCWs. Section four had 15 questions regarding attitudes and practices, precautions and procedures to contain the virus.
Sample size
The sample size for the survey was calculated according to the formula adopted in the Raosoft software (http://www.raosoft.com/samplesize.html). Setting the expected proportion of the outcome found in each question of the study at 50% with an accepted margin of error of 5%, we obtained a total sample of 377 individuals, with a confidence level of 95%.
Definitions
Knowledge was defined as at least an affirmative response to one of the following four questions:
- Do you believe that information released by international health authorities regarding the epidemic from COVID-19 in China has been clear enough?
- Do you believe that information disseminated by national and regional health authorities regarding the risks associated with COVID-19 for the Italian population has been sufficiently clear?
- Do you think that the definition of a suspected case of COVID-19 infection is sufficiently clear?
- Do you think you have been sufficiently informed by the national health authorities on how to behave if you are faced with a suspected case of COVID19?
Behavior change was defined as at least an affirmative response to one of the following three questions:
- Since the start of the COVID-19 epidemic, have you changed the way you work?
- Since the start of the COVID-19 epidemic, has there been any impact in the organization of visits?
- Since the beginning of the COVID-19 epidemic, has there been any impact in your relationship with patients?
Questions on the risk perception for being in contact with COVID-19 for HCWs and their patients were measured using the Likert scale ranging from 0 to 10 (no risk and high risk respectively); the answers were then categorized into five groups according to the percentile distribution to better show the results in the graph.
For the two questions based on the Likert scale, we categorized the variables into five groups (from 20° to 80° percentile), according to the percentile distribution. The first question (“Are the patients you come in contact with, scared of the COVID-19 epidemic?”) was categorized as follows: group 1 (0-20°) was from 0 - 5 points of the Likert scale; group 2 (21°-40°) was from 6-7 points of the Likert scale; group 3 (41°-60°) corresponded to 8 points of the Likert scale; group 4 (61°-80°) corresponded to 9 points of the Likert scale; group 5 (81°-100°) corresponded to 10 points of the Likert scale.
The second question (“Based on your views, what is the risk of visiting a patient with SARS-CoV-2 in the coming weeks?”) was categorized as follows:group 1 (0-20°) was from 0 - 5 points of the Likert scale; group 2 (21°-40°) corresponded to 6 points of the Likert scale; group 3 (41°-60°) was from 7- 8 points of the Likert scale; group 4 (61°-80°) corresponded to 9 points of the Likert scale; group 5 (81°-100°) corresponded to 10 points of the Likert scale.
We considered the pre-lockdown period from February 26th to March 10th, 2020 and the lockdown period from March 12th to May 3rd, 2020 [26].
Statistical analysis
Univariate differences were tested using the Chi-squared test for categorical variables and t test for independent samples for continuous variables. We carried out multivariable ordered logistic regression to investigate the association between the socioeconomic characteristics, the variables investigated in the questionnaire and two outcomes (knowledge and behavior change).
We carried out multiple imputation with chained equations [27] to generate values for missing data points such as sex, age, region and attitude to face the epidemic. All variables included in the models as predictors of outcomes were used to predict missing values [27-28]. Data were assumed to be “missing at random” [27]. Twenty-five datasets were imputed. Outcomes were not imputed. Data analysis was performed with STATA 13.0 SE (Stata Corporation, College Station, Texas).
At the end of the questionnaire we asked for open comments. We obtained 182 comments. We used the Word Cloud (WC) to visualize the frequencies of keywords. A WC is generated by counting the frequency at which each word appears. WC generation was performed using R packages tm and word cloud. Prepositions like ‘for’, ‘or’ and ‘in’ were excluded from the WC. Combination word concepts such as ‘general practitioner’, ‘front line’, ‘I would like to’, ‘mildly symptomatic’, ‘too much’, ‘public health’, ‘Local Health Authority', 'National Health System' and 'Health Protection Agency' were all entered as single words. We showed the words with a frequency greater than or equal to 3.