Study design and population
Using an online self-administered questionnaire, we conducted a cross-sectional study in all West Bank and Gaza Strip districts between August and September 2022. We targeted Palestinian physicians, nurses, and allied health professionals (lab technicians, radiology technicians, and occupational and physiotherapists) working in hospitals and primary health care centers, both government and non-government. A minimum sample size of 911 HCWs was necessary to determine the prevalence of hesitancy for annual COVID-19 vaccination. It was calculated using the formula n =[DEFF*Np(1-p)]/[(d2/Z21-α/2*(N-1)+p*(1-p), where Z = 1.96 is the confidence level statistic, DEFF = 1 is design effect, P = 33% is the estimated proportion of HCWs willing to receive an annual COVID-19 booster vaccine based on previous studies [15], and d =3% is the absolute precision. Thus, a minimum sample size of 911 HCWs was necessary to achieve the study objectives.
We recruited participants using a convenience sampling strategy, sending out Google Forms links and introductory invitations to closed institutional groups of HCWs (WhatsApp and Messenger). The study was carried out in compliance with current laws on ethical standards and privacy protection. Along with the questionnaire, we enclosed an introductory note explaining the study's purpose and assured respondents that their anonymity and the confidentiality of their responses would be strictly protected. In addition, participants were asked to confirm their agreement with the information provided and their willingness to participate online by tapping the "I agree" item. The Institutional Review Board of An-Najah National University approved the study [Ref. #: Med. August 2022/26].
Measurement tools
The research team created this questionnaire using related literature and previous studies. Before being finalized and distributed to participants, the questionnaire was reviewed by three experts in the field and piloted with 30 HCWs. It is divided into four sections. The first section assessed HCWs' background, professional, and clinical characteristics, which included age, gender, profession, workplace place, marital status, smoking status, and presence of chronic diseases. The second section evaluated variables associated with COVID-19 in terms of the history of COVID-19 by polymerase chain reaction (PCR), history of vaccination, and vaccine side effects. Furthermore, we assessed the annual influenza vaccine uptake by asking, "Do you get the influenza vaccine every year?".
The third section used the Vaccination Attitudes Examination Scale (VAX) adjusted to the COVID-19 vaccine to assess the HCWs' vaccination attitudes [25]. It has 12 items divided into four sub-scales: mistrust of vaccine benefits, worries over future effects, concerns about commercial profits, and preference for natural immunity. Each subscale has three items scored from 1 (strongly agree) to 6 (strongly disagree), except items of the first subscale, which are reversely coded. Higher scores indicate anti-vaccination attitudes. We used the Arabic version of the VAX scale, which has been used in previous studies and had a high degree of internal consistency [26]. The internal consistency coefficient (Cronbach's α) of the VAX scale used in this study was 0.84.
The last section evaluated HCWs' work-related Burnout using the Maslach Burnout Inventory (MBI) [27]. It is a 22-item tool that asks participants, on a 7-point Likert scale (from 0, 'never,' to 6, 'daily'), how frequently they had recently experienced specific feelings related to their work. The MBI is the most commonly used tool, and it consists of three scales: EE (nine items), which measures one's emotional and physical exhaustion as a result of his work; DP (five items), which assesses work-related stress, lack of feeling, impersonal responses to patient care, and reduced empathy; and PA (eight items), which evaluates the individuals' perception of their work and reflects how they perceive its significance. High scores on the EE or DP scales, or low scores on the PA scale, indicate a high level of Burnout. While no definite cut-off points for MBI subscales exist, we used the following cut-off points from a previous study on HCWs in the region [28]: Burnout was high on EE and PA, and DP when the scores were ≥35, ≤29, or ≥11, respectively. It was moderate on EE, PA, and DP when scores were 21-30, 41-36, and 6-10, respectively. HCWs who ranked high in all three dimensions were considered to have very high Burnout. Internal consistency (Cronbach's) values for the EE, DP, and PA dimensions used in this study were all high: 0.88, 0.80, and 0.90, respectively.
Study outcome
The questionnaire included a direct question assessing the study's primary outcome by asking HCWs whether they would agree to receive an annual COVID-19 booster vaccine if it is recommended. Respondents were classified as acceptant or hesitant based on their responses to the question. Acceptant are HCWs who said "yes," whereas hesitant are those who said "no" or "not decided yet."
Data Analysis
Data entry and analysis were done with the IBM SPSS Statistics for Windows, version 21 (IBM Corp., Armonk, NY, USA). Because we had a large enough sample size (n=919). We summarized categorical variables using frequency distributions and proportions, and the associations were tested using the chi-square test. Next, the Kolmogorov-Smirnov test was used to determine the normality of continuous variables, which revealed that they were normally distributed. The data was then summarized using mean and standard deviation (SD), and the association between different groups was conducted using the independent t-test. The binary logistic regression model was used to account for confounders and assess factors independently associated with vaccine booster dose hesitancy. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were used to present the findings. The significance level was set at a P-value of less than 0.05.