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Article

Vaccine Hesitancy in Women of Childbearing Age and Occupational Physicians: Results from a Cross-Sectional Study (Italy, 2022)

by
Matteo Riccò
1,*,
Antonio Baldassarre
2,
Milena Pia Cerviere
3 and
Federico Marchesi
4
1
Occupational Health and Safety Service on the Workplace, Department of Public Health, AUSL–IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy
2
Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy
3
Università Cattolica del Sacro Cuore, 00168 Rome, Italy
4
Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
*
Author to whom correspondence should be addressed.
Women 2023, 3(2), 237-262; https://doi.org/10.3390/women3020019
Submission received: 31 December 2022 / Revised: 8 April 2023 / Accepted: 4 May 2023 / Published: 6 May 2023
(This article belongs to the Special Issue Health and Preventive Strategies in Order to Protect Pregnancy)

Abstract

:
Italian occupational physicians (OPs) are instrumental in promoting vaccination practice in occupational settings, and this study aims to characterize their attitudes, knowledge, and practices (collectively, KAP) towards immunization practice in women of childbearing age. A convenience sample of 120 OPs (50.8% males, mean age of 48.2 ± 5.9 years old) completed a structured online questionnaire (potential recipients: 2034; response rate: 5.9%) assessing their understanding of official recommendations, their general knowledge of vaccine practice, their attitudes towards vaccines, and their risk perception about vaccine-preventable infectious diseases. The sampled OPs exhibited a good understanding of official recommendations, and they were largely favorable towards vaccination of pregnant women. Knowledge status was relatively good (potential range 0 to 100%, average score 22 74.5% ± 18.2), while risk perception towards sampled disorders was heterogenous: the greatest was the one for SARS-CoV-2 (52.7% ± 32.9), followed by seasonal influenza (45.3% ± 31.6), and pertussis (37.8% 24 ± 28.2). The main predictors for promoting vaccination were higher knowledge about seasonal influenza vaccine (SIV; adjusted Odds Ratio [aOR] 102.2, 95% Confidence Interval [95%CI] 9.68–1080.26), tetanus-diphtheria-acellular pertussis vaccine (Tdap; aOR 12.34, 95%CI 2.62; 58.22) 27 and SARS-CoV-2 vaccine (aOR 14.76, 95%CI 2.74–79.69). A better attitude towards SIV was positively associated with previous vaccination of the respondent (aOR 4.90, 95%CI 1.19–20.14), while higher risk perception towards SIV was characterized as a negative predictor (aOR 0.04, 95%CI 0.01–0.35), as was working as an OP in healthcare facilities (aOR 0.03, 95%CI 0.01–0.43). Tdap was positively associated with male gender of respondents (aOR 10.22, 95%CI 2.60 to 40.24) and higher risk perception about pertussis (aOR 10.38, 95%CI 1.47 to 73.47). Overall, our data suggest that improving the understanding of OPs about the health burden of frequently encountered pathogens could be instrumental in increasing their involvement in the promotion of vaccine practice. Because of the low rate of response to our survey, our conclusions remain tentative.

1. Introduction

Where implemented by the national legal framework, occupational physicians (OPs; please refer to Table A1 for a full summary of acronyms) are the medical professionals responsible for health surveillance and promotion across the workplaces [1,2]. Well before the inception of the SARS-CoV-2 pandemic, Italian OPs were actively involved in the implementation of specifically tailored preventive measures against biological risk factors [3,4,5], including prescription and/or delivery of appropriate vaccinations [2,6]. Not coincidentally, Italian OPs have been extensively involved in the implementation of SARS-CoV-2 vaccination campaigns [7].
Pregnant women may be exposed to various pathogens, including “conventional” ones such as seasonal and pandemic influenza, pertussis, measles, and rubella [8,9,10], and emerging ones such as Flaviviridae (e.g., Zika virus) [11,12,13], and most notably SARS-CoV-2 [14,15,16,17,18,19,20] not only as healthcare workers (HCWs) but also in settings such as forestry, zootechny, food, veterinary, biotechnology, treatment and waste disposal. Their exposure and contact with highly dangerous agents are associated with an increased risk of morbidity, mortality, and adverse pregnancy outcomes [21,22,23,24].
Consequently, the implementation of properly tailored immunization policies among female workers of childbearing age could represent a substantial duty for OPs [25,26,27,28,29]. Notably, since 2017, the Italian National Immunization Plan (NIP) recommends the vaccination of pregnant women with the pertussis vaccine, included in the trivalent formulation tetanus-diphtheria-acellular pertussis (Tdap) vaccine between the 27th and the 36th week of every pregnancy, regardless of prior Tdap history [30,31]. Similarly, Seasonal Influenza Vaccine (SIV) should be delivered at any stage of the gestational period as a preventive intervention targeting both the recipient and the offspring [30,31,32,33]. In both cases, the role of OPs in improving vaccination rates among female workers from high-risk settings (e.g., HCW) has been specifically stressed by official Italian guidelines [9,18,34,35,36,37,38,39]. Unfortunately, coverage rates for recommended vaccinations, including SIV and Tdap, among pregnant women remain very low [27,28,32,33,40,41,42].
Even SARS-CoV-2 vaccines have been recently addressed by official recommendations that support their delivery in pregnant women. While initially recommended for breastfeeding mothers and pregnant women at higher risk of exposure to the virus or at greater risk of developing a severe illness, since the second half of 2021, SARS-CoV-2 mRNA vaccines have been extended to all pregnant women in their second and third trimester who wish to be vaccinated [43,44,45,46,47,48]. More precisely, national vaccination guidelines prioritize women at greater risk of contracting SARS-CoV-2 infection because of their occupational exposures (e.g., HCWs) and/or at greater risk of developing severe COVID-19 disease (women with risk factors such as age >30 years, BMI >30, comorbidities, women from countries where the migration pressure is high) [43,44,45].
In such a setting, the role of OPs may be of particular interest, as they could contribute to the promotion of recommended vaccination in working age groups, which in women largely coincide with childbearing age. Unfortunately, previous studies have reported a high occurrence of false beliefs about vaccinations and a lack of knowledge about national vaccination policies among Italian OPs [2,6,46,47]. Interestingly, similar shortcomings have been reported also in other national settings [1,20,48].
As a consequence, the main endpoint of this study was to assess knowledge (how much the respondents understand a certain topic), attitudes (that is the feelings of sampled individuals towards the assessed subject, as well as any preconceived ideas they may have towards it), and practices (the ways in which they demonstrate their knowledge and attitude through their actions; collectively, KAP) of a sample of OPs about vaccinations and vaccination policies in women of childbearing age and pregnant women. The understanding of general and specific recommendations was specifically focused on, as well as how the KAP of sampled professionals related to these recommendations. Our results may contribute to identifying areas that may be potentially targeted by specific informative and educative campaigns dedicated to OPs.

2. Results

2.1. Descriptive Analysis

As reported in Figure 1, a total of 120 OPs (5.9% of the original population of 2034 OPs) participated in the inquiry.
Overall, 50.8% of the participants were of the male gender, and their mean age was 48.2 ± 5.9 years (30.0% aged 50 years old or more), with average seniority as OPs of 16.3 ± 10.1 years (75.0% of them, with a seniority of 10 years or more). Of these, the large majority had offspring (86.7%) and worked as OPs in healthcare facilities (71.7%) (Table 1).

2.2. Assessment of Knowledge Status

Knowledge status was assessed by means of a series of 25 true–false questions, whose internal consistency was good (Cronbach’s alpha = 0.873). After percent normalization, the corresponding cumulative score (general knowledge score, or GKS) was generally high (74.5% ± 18.2; actual range 28.6–100%; median 78.6%). A skewed distribution was identified at visual inspection (Figure 2), and the Gaussian distribution was rejected by the D’Agostino–Pearson test (K2 = 22.17, p < 0.001).
Detailed results of the knowledge test are reported in Table A2. More precisely, substantial uncertainties were associated with items represented by Q19, as only 37.5% of respondents were aware that no RSV vaccine has been to date commercially made available; and Q23, as only 47.5% of participants had any understanding that mRNA vaccines against SARS-CoV-2 vaccines can be employed also in women with a previous history of deep vein thrombosis. Interestingly, even though a large share of participants had a proper understanding of official recommendations that allow the use of vaccines in pregnancy (Q16, 91.7%), similar knowledge gaps affected the recommendations for the delivery of the Tdap vaccine to all pregnant women (Q15, 54.2%) and for avoiding live-attenuated vaccines in pregnancy (Q17, 54.2%).
Moreover, a substantial share of participants exhibited some uncertainties regarding the role of vaccine additives in human health (Q01, 66.7% of correct answers) and the potential resurgence of secondary cases with epidemic potential after vaccinations with live-attenuated vaccines (Q21, 67.5%). Around a third of respondents also exhibited knowledge gaps about the potential vaccine-related induction of encephalitis lethargica (Q04, 66.7%), subacute sclerosing panencephalitis (Q03, 67.5%), and autoimmune Hashimoto’s thyroiditis (Q06, 63.3%). Conversely, the large majority of participants properly acknowledged the efficacy of vaccines (Q11), understood the role of smallpox vaccination in the progressive eradication of the pathogen (Q10; 95.8% for both statements), and correctly reported that tetanus vaccination should be delivered in all adults every 10 years (Q18, 91.7%). The large majority of respondents also agreed on the lack of secondary effects of childhood immunization on their resistance to infectious diseases (Q12, 93.3%), and that vaccines do not increase the risk of developing autism (Q07, 91.7%), being of substantial value in promoting the control of infectious disease (Q09, 91.7%).

2.3. Risk Perception

Risk perception scores (RPS) for natural infections and vaccine-related side effects were calculated as the mathematical product of perceived severity (potential range 0 to 5) and perceived incidence (potential range 0 to 5) of the assessed condition (Figure A1 and Figure A2). Briefly, the greatest RPS on natural infections was associated with SARS-CoV-2 (52.7% ± 32.9), followed by rubella (50.3% ± 26.7), varicella (49.4% ± 27.6), seasonal influenza (45.3% ± 31.6), measles (41% ± 26.3), parotitis (40.8% ± 27.5), pertussis (37.8% ± 28.3), hepatitis B (35.1% ± 22.0), diphtheria (27.6% ± 23.3), and tetanus (26.6% ± 22.3).
By arbitrarily assuming seasonal influenza as the reference group, the difference between reported RPS was significant only for tetanus (mean difference in favor of seasonal influenza, 18.71, 95%CI 9.31 to 28.11, p < 0.001), diphtheria (mean difference 17.71, 95%CI 8.31 to 27.11, p < 0.001), and hepatitis B (mean difference 10.21, 95%CI 8.11 to 19.61, p = 0.026) (Table A3). When dealing with reported side effects of vaccinations, the greatest RPS was associated with varicella (25.5% ± 25.7), followed by rubella (21.8% ± 22.4), SARS-CoV-2 immunizations with adenovirus carrier (19.9% ± 19.8), parotitis (19.5% ± 20.0), measles (18.4% ± 19.9), SARS-CoV-2 vaccines based on the mRNA technology (15.7% ± 19.4), hepatitis B vaccine (15.3% ± 16.2), and SARS-CoV-2 vaccines based on the subunit technology (15.2% ± 16.1), while lower estimates were associated with pertussis (13.0% ± 17.0), SIV (12.1% ± 15.0), diphtheria (12.1% ± 16.6), and tetanus (11.4% ± 15.3). When SIV was taken as the reference group, the difference was significant for parotitis (mean difference −7.39, 95%CI −14.09 to 0.70, p = 0.022), rubella (mean difference −9.67, 95%CI −16.36 to −2.97 p = 0.001), varicella (mean difference −13.33, 95%CI −20.03 to −6.64, p < 0.001), and SARS-CoV-2 performed through adenovirus carriers (mean difference −7.79, 95%CI −14.49 to 1.10, p = 0.013) (Table A4).

2.4. Attitudes towards Vaccination

When participants were asked about the perceived barriers towards vaccination of pregnant women (Table 2), the most frequently reported one was the inappropriate risk perception by pregnant women (83.3%), followed by their appropriate understanding of official recommendations (79.2%), the fear of side effects (70.8%), the inappropriate understanding of official recommendations by medical professionals (62.5%). Moreover, 45.9% of participants claimed that other medical professionals may not perceive maternal vaccinations as a priority and that vaccination services may be scarcely available given the specificities of pregnant women (37.5%). Only 12.5% of participants reported any complaints about the high costs of vaccines.
Overall, the majority of participants recommended any of the SARS-CoV-2 vaccines (i.e., mRNA, subunit, or adenovirus-based formulates) in women of childbearing age (74.2%), followed by Tdap (70.8%), SIV (66.7%), and hepatitis B virus vaccine (54.2%) (Table 3). On the contrary, less than 50% of participants actively recommended MPR (45.8%), and varicella (41.7%) immunizations.
When participants were asked about their vaccination status (Table 4), 91.7% of them had received a full course for SARS-CoV-2, while 71.7% of them had been reportedly vaccinated against HBV, 65.8% against SIV (at least one time in the previous 5 years). Moreover, 63.3% had received MPR, 61.7% Tdap, and only 16.7% varicella (either in a tetravalent immunization or as an individual vaccination).

2.5. Univariate Analysis

Overall, a positive correlation between GKS and RPS was identified for the majority of infections reported to the participants, and more precisely: seasonal influenza (r = 0.341, p < 0.001), pertussis (r = 0.200, p = 0.028), measles (r = 0.356, p < 0.001), parotitis (r = 0.238, p = 0.009), varicella (r = 0.196, p = 0.032), hepatitis B virus (r = 0.406, p < 001), and SARS-CoV-2 (r = 0.428, p < 0.001). In other words, a better understanding of vaccine-related issues was associated with a greater risk perception of the aforementioned disorders, and vice versa (Table A5).
Conversely, SIV (r = −0.352, p < 0.001), vaccines for diphtheria (r = −0.450, p < 0.001), tetanus (r = −0.367, p < 0.001), pertussis (r = −0.379, p < 0.001), hepatitis B virus (r = −0.191, p = 0.037), as well as SARS-CoV-2 vaccines based on mRNA (r = −0.354, p < 0.001), adenoviral carriers (r = −0.314, p < 0.001), and subunit technology (r = −0.314, p < 0.001), were negatively correlated with RPS, and a positive correlation between GKS and RPS was only reported for SARS-CoV-2 vaccines based on adenovirus carriers (r = 0.239, p < 0.009). Therefore, a better GKS meant a reduced risk perception of side effects following the delivery of SIV, and vaccinations against diphtheria, tetanus, pertussis, hepatitis B virus, and SARS-CoV-2 based on mRNA and subunit technology, while individuals exhibiting a better knowledge status were more frequently concerned about SARS-CoV-2 vaccines based on adenovirus carriers. Moreover, as shown in Figure 3, participants recommending the uptake of SIV, Tdap, and SARS-CoV-2 vaccines consistently had greater GKS compared to those who did not (i.e., SIV 81.7% ± 12.4 vs. 60.1% ± 19.5, Mann–Whitney [M-W] U = 2725.0, p < 0.001; Tdap 80.0% ± 14.4 vs. 61.3% ± 19.9, M-W U = 2458.0, p < 0.001; SARS-CoV-2 79.4% ± 14.3 vs. 60.6% ± 21.1, M-W U = 2194.5, p < 0.001).
When the outcome variables of actively promoting SIV, Tdap, and SARS-CoV-2 vaccines were compared to the individual characteristics of respondents (Table 5), a positive attitude towards SIV was positively associated with a better knowledge status (55.0% of individuals reporting a favorable attitude versus 7.5% among those not favorable to the reported vaccine, p < 0.001), having been previously vaccinated against seasonal influenza (82.5% vs. 32.5%, p < 0.001), and reporting higher RPS on influenza (62.5% vs. 25.0%, p < 0.001). On the contrary, working as an occupational physician in healthcare facilities (63.7% vs. 87.5%, p = 0.012) and reporting higher RPS on the vaccine (25.0% vs. 75.0%, p < 0.001) were more frequently reported among individuals not favorable to the vaccine than among those promoting the intervention.
Similarly, a positive attitude toward the Tdap vaccine was positively associated with male gender (58.8% vs. 31.4%, p = 0.011), reporting a higher knowledge status (51.8% vs. 8.6%, p < 0.001), and having a higher RPS on diphtheria (52.9% vs. 14.3%, p < 0.001) and pertussis (64.7% vs. 14.3%, p < 0.001), while it was negatively associated with higher RPS on tetanus vaccine (17.6% vs. 42.9%, p = 0.008).
A favorable attitude towards SARS-CoV-2 vaccine was negatively associated with belonging to older age groups (22.5% among respondents of 50 years or more vs. 51.6% of respondents not favorable to SARS-CoV-2 vaccines) and reporting higher RPS on mRNA (38.2% vs. 67.7%, p = 0.008) and adenoviral (43.8% vs. 67.7%, p = 0.037) SARS-CoV-2 vaccines. Conversely, having a better knowledge status (50.6% vs. 6.5%, p < 0.001), and having been vaccinated against SARS-CoV-2 were positively associated with a favorable attitude (98.9% vs. 71.0%, p < 0.001).

2.6. Multivariable Analysis

Multivariable analysis was modeled including the variables that in univariate analysis were significantly associated (p < 0.05) with the active promotion among female workers of childbearing age of SIV (Model 1), Tdap (Model 2), and SARS-CoV-2 vaccines (Model 3), and more precisely (Table A6):
(a)
Model 1: GKS > median value; having been working as OP in healthcare facilities; having been vaccinated against seasonal influenza; RPS towards SIV and seasonal influenza > median values.
(b)
Model 2: being of male gender; GKS > median value; RPS on diphtheria and pertussis > median values; reporting RPS on the vaccine for tetanus > median value.
(c)
Model 3: being older than 50 years at the time of the survey; reporting a GKS > median value, having been vaccinated against SARS-CoV-2, reporting RPS values for SARS-CoV-2 vaccines based on mRNA formulates and adenoviral vectors > median.
As shown in Table 6, a favorable attitude towards SIV was more frequently reported among participants exhibiting a better knowledge status (adjusted Odds Ratios [aOR] 102.24, 95% Confidence Interval [95%CI] 9.68 to 1080.26), and having been vaccinated against SIV (aOR 4.90, 95%CI 1.19 to 20.14). On the contrary, it was less frequently reported by participants who reportedly worked as OPs in healthcare facilities (aOR 0.03, 95%CI 0.01 to 0.43) and who reported higher RPS on the vaccine (aOR 0.04, 95%CI 0.01 to 0.35).
Similarly, a better knowledge status was associated with a favorable attitude towards SARS-CoV-2 vaccine (aOR 14.76, 95%CI 2.74 to 79.69), while male gender of respondents (aOR 10.22, 95%CI 2.60 to 40.24), scoring a GKS > median value (aOR 12.34, 95%CI 2.62 to 58.22), and higher risk perception of pertussis (aOR 10.38, 95%CI 1.47 to 73.47) were characterized as explanatory variables for a positive attitude towards Tdap.

3. Discussion

In our cross-sectional study, we assessed the KAP of a small sample of Italian OPs (120 respondents in total) about vaccinations and vaccination policies in female workers of childbearing age. As HCWs, OPs can reasonably represent a model for the general population, but because of their exclusive role in the occupational settings, they are also potentially instrumental in overcoming vaccine hesitancy (delay in acceptance or refusal of vaccines irrespective of their actual availability) [49,50,51] across workplaces and in high-risk occupational groups [52]. Consequently, when OPs improperly share false beliefs among the workers they care for, they may even become detrimental to the global efforts to achieve and maintain high vaccination rates, not only for “new” vaccines such as SARS-CoV-2 [1,2,36,53] but also for more conventional ones such ad Tdap and SIV [36,48,54,55]. In our study, the majority of respondents exhibited a relatively good performance on the knowledge test (74.5% ± 18.2) and a somehow discrete positive attitude towards SIV (66.7%), Tdap (70.8%), and SARS-CoV-2 (74.2%). It is often believed that the attitudes towards vaccines of medical professionals (including OPs) should not be negative and that they cannot be affected by substantial vaccine hesitancy. Even though these results are obviously desirable, they cannot be taken for granted [17,56,57,58].
In our study, the aforementioned vaccinations were associated with quite distinctive predictive variables. On the one hand, a better knowledge status was consistently characterized as a predictive variable (aOR 12.34, 95%CI 2.62 to 58.22 for Tdap, aOR 14.76, 95%CI 2.74 to 79.69 for SARS-CoV-2), particularly for promoting SIV (aOR 102.24, 95%CI 9.68 to 1080.26). On the other hand, the promotion of assessed vaccines was associated with the self-reported immunization of the respondents only for SIV (aOR 4.90, 95%CI 1.19 to 20.14). In this regard, participants working as OPs for healthcare facilities and reporting higher RPS towards the vaccine exhibited a negative attitude towards the promotion of SIV among female workers of childbearing age (aOR 0.03, 95%CI 0.01 to 0.43 and aOR 0.04, 95%CI 0.01 to 0.35, respectively). On the contrary, a positive attitude to Tdap was positively associated with male gender (aOR 10.22, 95%CI 2.60 to 40.24) and higher risk perception of pertussis infection (aOR 10.38, 95%CI 1.47 to 73.47).
Our estimates are therefore somewhat consistent with most of the available KAP studies on immunizations [2,6,7,29,33,53,59,60,61,62,63,64,65,66], where the domain of knowledge has been often acknowledged as a main predictor for attitudes and practices of medical professionals. It should be stressed that similar results have been repetitively but not consistently reported in occupational studies, particularly in those performed on OPs [1,2,6,7,36,53]. Particularly when dealing with KAP studies on biological risk in occupational settings, knowledge represents a key factor that should be specifically addressed. As previously stressed by Betsch et al. in a sample of German professionals [1], OPs are not spared by substantial knowledge gaps and misunderstanding of biological risk agents. Similar estimates were reported from several Italian studies [2,7,53,67], and a likely explanation for these knowledge gaps may be tentatively identified in the core curriculum of OPs. Until recently, despite the underlying legal framework, and the substantial burden represented by pathogens such as HBV, HCV, and HIV, the formal education and the medical training of Italian OPs have often prioritized other topics (e.g., work-related musculoskeletal diseases, occupational pulmonary diseases, occupational neoplasia) over biological risk [15,37,39,68]. In other words, despite their professional role, scientific background, and medical training, not only may OPs fail to overcome the gaps between official recommendations and vaccine objectors [1,2,7,67,69], but their knowledge gaps could even lead to a certain degree of vaccine hesitancy [2,6,7,53,59].
In addition, the negative attitude towards the promotion of SIV among female workers of childbearing age could be explained in terms of potential false beliefs, particularly on the actual efficacy and safety profile of the available vaccines [29,32,70,71]. During the previous decade, the reporting of three deaths within 48 h of vaccination with the Fluad® vaccine led to a sustained reduction in vaccination rates between 2014 and 2017 [72,73], also among medical professionals [72,74], with a sustained lack of trust in this preventive intervention [29,53]. Even in our study, SIV was associated with an RPS that exceeded other immunizations, notably including varicella and rubella immunizations. Both vaccines are represented by live-attenuated pathogens: even though reactivation of vaccine strains is usually acknowledged as somewhat unusual for both varicella and rubella, for the safety of mother and children, their delivery is usually avoided in pregnant women [19,75,76,77,78,79]. Moreover, the reported mismatch between antigens contained in the SIV and the circulating pathogens in several winter seasons has presumptively led to the diffuse underscoring of the actual preventive role of SIV [46,80,81]. Nonetheless, we cannot rule out that a certain disregard for SIV could be associated with the misunderstanding of the actual aims of this intervention. While vaccines included in Tdap are aimed to avoid the clinical syndromes associated with the natural infection of the primary pathogens, the primary aim of SIV is avoiding complications of the natural infection, likewise with SARS-CoV-2 immunization [24,74,82,83]. Interestingly, the effectiveness of SIV in avoiding sick leave in certain settings, such as healthcare facilities, although proven [84], has been inconsistently reported in several Italian studies [53,83,84]. In other words, some professionals may have failed to properly appreciate the actual cost-benefit ratio of this medical intervention, particularly in individuals such as pregnant women, where the clinician should not only target the health and safety of the patient (i.e., the pregnant woman) but care also for the unborn child. Not coincidentally, being an occupational physician in medical facilities was a negative predictor for a positive attitude towards SIV [26,33,85,86,87,88].
The inappropriate attitude of participating OPs towards SIV is particularly unsatisfactory when keeping in mind that vaccination of pregnant women remains globally low [85], and that there is a certain base of evidence that the failure of HCW to recommend, offer, promote, and perform influenza vaccination represents a substantial barrier to antenatal influenza vaccination [85,86,87]. A more effective contribution of OPs in overcoming usual barriers to maternal vaccination would be therefore both appreciable and necessary, as previously recommended for other medical professionals interacting with pregnant women [26,33,85,88,89,90,91].
In our study, the eventual promotion of the SARS-CoV-2 vaccine among pregnant women was remarkable (74.2%) and quite similar to the overall acceptance of mRNA formulates in a precedent report on Italian OPs (89.8% of 166 professionals) [7]. Moreover, the overall risk perception for these vaccines was comparable to other assessed immunizations, with the notable exception of adenovirus-based formulates. In this regard, a worse acceptance of these formulates was reported even in the aforementioned preliminary report (i.e., 51.2% vs. 89.8%) [7]. In fact, participating OPs appeared to be up-to-date in terms of general recommendations towards SARS-CoV-2 vaccines, with the notable exception of the exemption for women previously reporting cases of deep vein thrombosis. During the first SARS-CoV-2 vaccination campaign, several claims of an increased risk of deep vein thrombosis after SARS-CoV-2 vaccination shots urged for a critical reappraisal of these vaccines in groups potentially at high-risk, including individuals with previous episodes of deep vein thrombosis, women using birth control pills or hormone replacement therapy, and pregnant women [92,93,94,95,96]. Still, most of the reported cases were actually associated with adenovirus-based formulates [92,93,97], while mRNA vaccines and subunit vaccines have shown a safer profile [92,95,96]. Even though SARS-CoV-2 immunizations performed by means of an adenovirus carrier were discontinued during 2021, the overall attitude towards this immunization was actually associated with a quite higher RPS than that reported for mRNA formulates (19.9% ± 19.8 vs. 15.7% ± 19.4) and for SARS-CoV-2 vaccines based on the subunit technology (15.2% ± 16.1). The similar appraisal of mRNA and subunit vaccines—at least in this specific sample—may contribute to our understanding of the unsatisfying uptake of subunit formulates during vaccination campaigns in 2021 and 2022. Even though substantial vaccine hesitancy had previously affected similarly designed vaccines targeting hepatitis B and Neisseria meningitidis ACWY [31,98,99,100,101], subunit formulates have been initially welcome as “more conventional” drugs that could contribute to overcoming most of the concerns about the innovative mRNA technology [102]. However, according to an official report from the Italian National Health Service, by 26/09/2022, a total of 140,689,960 doses of SARS-CoV-2 vaccines had been delivered among Italian residents; of these, only 0.03% were represented by subunit formulates [103]. In other terms, our results seemingly suggest that interventions improving the understanding of actual guidelines among OPs may also improve their acceptance and proactive attitude towards SARS-CoV-2 vaccines even in pregnant women.
Limits and Strengths. Despite its potential significance, our study is affected by several limitations and is not generalizable because of shortcomings affecting the sampling strategy and generalizability of the sample.
In the first place, our sample was quite small, as it included a total of 120 OPs, which is around 1.5% of all Italian occupational physicians at the time of the survey (n = 7826), and only 5.9% of the potential recipients. Therefore, the sample is not likely to be representative of all OPs. Moreover, because of the limited number of sampled professionals, and the similarly limited response rate across the targeted and invited OPs, the present study was also affected by reduced statistical power, urging for a very cautious appraisal of the results we were able to collect. More precisely, assuming as a reference the acceptance of influenza (68.5%), Tdap (52.7%), and SARS-CoV-2 (90.4%) by Italian OPs from some similarly designed studies [7,36,53], a Type I error of 5% (0.05), and a power of 95%, a minimum sample size ranging between 133 for SARS-CoV-2, 332 for SIV, and 383 for Tdap could be calculated [7]. In other words, the present study only collected one-third of the sample size it would have required in order to gather sufficient statistical power. Still, as the specific topic of immunization of childbearing-age women in occupational settings has been assessed in only a limited fashion, particularly in Italy, and available evidence has been mostly collected from healthcare workers [7,29,104,105,106,107], our preliminary results could provide some insight for potential interventions aimed to improve the overall delivery of vaccines by OPs.
Second, our research was designed as an internet-based survey, whose implicit limits have been previously addressed [108,109,110]. Similarly designed studies are acknowledged as reliable and cost-effective, but they are also affected by an extensive double “self-selection” of participating individuals. On the one hand, as participating individuals are recruited through social media platforms, the sample will only include individuals familiar with new media [36,109,111,112,113]. In turn, this could lead to the oversampling of individuals more accustomed to sharing personal information through internet access, usually more frequently reported among younger age groups. In effect, our sample included a reduced share of respondents aged 50 years or older (30.0% of the total sample), and these figures are quite inconsistent with the Italian medical workforce [114,115]. On the other hand, this sampling strategy would lead to the oversampling of subjects having greater knowledge and/or interest in the assessed topic [29,32,116,117], while not participating could be understood as a negative attitude or a lack of knowledge about the targeted topic [109], and that may impair the overall reliability and generalizability of collected results. Nonetheless, our study deliberately targeted a relatively homogenous subgroup of medical professionals (i.e., OPs) in order to mitigate as much as possible the potential self-selection of the participants and minimize or even rule out the eventual effect of individual factors such as occupational background and educational level.
Thirdly, we cannot rule out that some of the respondents did not fully adhere to our selection criteria, further compromising the actual representativity of the sample. In order to cope with this potential shortcoming, our study only included participants that were drawn from discussion groups, whose participation was limited to individuals having previously received a specific invitation from the manager and answered specific “selection” questions [118]. Moreover, we do not know how often sampled participants are usually requested to contribute to workers’ vaccinations, and more specifically to the vaccination practice of pregnant women [7,29,36,53,104,105,106,107].
Fourth, even though the core of this study, i.e., the knowledge test, was based on a reliable model and characterized by a high degree of internal consistency [1,119], we cannot rule out that some of the items assessed might have been affected by some degree of social desirability bias, whereby some participants reported some answers in terms of “common sense”, prioritizing more “socially appropriate” answers over their true understanding of certain topics. Interestingly, such potential bias has been repeatedly identified in previous KAP studies on OPs [1,2,36,53,108], including some surveys performed with a quite similar sample. Therefore, we cannot rule out that our results could have ultimately overstated the share of individuals having an effective understanding of vaccine-associated issues, but also actually acknowledging the reported and assessed vaccinations as recommended and promoted in pregnant women and women of childbearing age. In order to attempt a certain quantification of participants affected by social desirability bias, the knowledge test specifically reported the still commercially unavailable maternal RSV vaccination [118,120]. Interestingly, only 37.5% of participants correctly ruled out this option, suggesting the need for a critical appraisal of overall results from the knowledge test and individual attitudes towards reported vaccines.
Finally, our study deliberately assessed the KAP of recruited participants on a selected set of immunizations, but women of childbearing age could be targeted by other interventions of some occupational interest, including but not limited to vaccines for Neisseria meningitidis and Mycobacterium tuberculosis (i.e., BCG) for healthcare workers, Hepatitis A virus, typhoid vaccines, and tick-borne encephalitis vaccine for workers traveling to parts of the world where these pathologies are common, and even rabies vaccines for professionals involved in laboratory and veterinary practice [30,31,121,122,123,124,125,126,127]. Moreover, workplaces may represent an appropriate setting for improving the acceptance of immunizations with a more limited occupational interest, such as pneumococcus, and mostly human papillomavirus (HPV) vaccines. In effect, the pneumococcal vaccine is currently indicated only for individuals having certain chronic medical conditions or other risk factors, and routine medical surveillance by OPs may provide an ideal opportunity for reaching potential recipients and/or addressing their vaccine hesitancy [128,129]. Similarly, OPs could contribute to the shared effort for improving HPV vaccination rates. HPV is not only the current most common sexually transmitted disease in the world but it is also acknowledged as the main risk factor for cervical cancer in women with an estimated 570,000 new cases per year [130,131,132,133]. According to the current guidelines, the HPV vaccine is currently recommended for everyone through age 26 years if not adequately vaccinated when younger, and OPs, during medical surveillance, could properly identify and address women that can potentially benefit from catch-up vaccination [134]. According to the total worker health approach, future interventions should be therefore tailored in order to include a more extensive list of assessed vaccinations, not strictly limited to the interventions associated with occupational settings [135,136].

4. Materials and Methods

4.1. Study Design

The present study was designed as a cross-sectional questionnaire-based study according to the STROBE statement (see STROBE checklist as Supplementary File S1) and performed between 1 April 2022 and 30 April 2022. The study was delivered across seven private Facebook group pages and four closed forums focusing on occupational medicine, whose applications were officially limited to OPs. According to the built-in statistics of the parent social media, by 1 April 2022, the group pages had a total of 2034 members. Still, no information could be retrieved about cross-membership and the number of actual, active users.
In order to share the study with the group members, the chief researcher (MR) preventively contacted the administrators of the groups, requesting preventive authorization for posting an invitation link to the questionnaire. Users who clicked on the invitation texts were then provided with a page reporting (a) the full study information; (b) the informed consent (authors’ translation of the informed consent is available as Supplementary File S2); and (c) a web link to the first page of the survey (Google Forms; Google LLC; Menlo Park, California, CA, USA).
On the first page of the survey, participants were initially asked whether they (a) were or not living and working in Italy and (b) were working as an OP at the time of the survey. Only participants sharing two positive answers to these checkpoint items received the full questionnaire, while in all other cases, the survey was closed, and no further data were retained. The questionnaire was compiled anonymously: personal data (e.g., name, IP address, email address), and all personal information unnecessary to the survey were not requested, saved, or tracked.

4.2. Questionnaire and Availability of Data and Material

The questionnaire was originally formulated in Italian, being designed as a follow-up to an instrument originally validated in obstetrics and gynecology [29]. The final questionnaire included the following sections:
  • Individual characteristics: age, seniority as OPs, gender, and whether they (a) had any professional experience as an occupational physician with any healthcare provider (yes vs. no) and (b) had any child.
  • Knowledge test: participants received a 31-item questionnaire on vaccination in pregnancy [29] that was based on previous KAP studies in occupational settings [137,138]. Briefly, the questionnaire included a series of true/false items based on the current understanding and guidelines on vaccinations in pregnancy, specifically focusing on (a) general issues about vaccinations and (b) official recommendations on SARS-CoV-2, SIV, and Tdap. GKS was calculated as the sum of correctly and incorrectly marked recommendations: for all correct answers, +1 was added to a sum score, while a missing/“don’t know” answer or a wrong indication added 0 to the cumulative score.
  • Risk perception: participants were initially asked to rate by means of a fully labeled 5-point Likert scale (range: 1, “of no significant concern in daily practice”, to 5, “of very high concern in daily practice”) the perceived severity (C) and the perceived frequency (I) of a series of vaccine-preventable disorders in pregnant women: seasonal influenza, tetanus, diphtheria, pertussis, measles, parotitis, rubella, varicella, hepatitis B, SARS-CoV-2. Similarly, participants were then asked to rate how they perceived a series of vaccinations (i.e., against seasonal flu, tetanus, diphtheria, pertussis, measles, parotitis, rubella, varicella, hepatitis B virus, SARS-CoV-2 delivered as mRNA formulate, adenoviral vector-based formulates, and subunit vaccine) when delivered to pregnant women in terms of the perceived severity (C) and frequency (I) of their side effects.
As previously suggested by Yates, a quantitative estimate of perceived risk can be defined as the mathematical product of the perceived probability of an event and its expected consequences [1,139], and the corresponding RPS for vaccines and natural infection was therefore calculated as:
RPS = I × C
4.
Attitudes and practices: we initially inquired of participants whether they had previously received any of the following vaccinations: seasonal influenza virus, Tdap or dT, MPR, varicella (either as a single formulate or within an MPR-V vaccine), hepatitis B virus, SARS-CoV-2 (any). Similarly, participants were asked whether, during the last 12 months, they had recommended any of the aforementioned vaccines in women of childbearing age. Finally, we reported a series of potential barriers towards vaccinations in women of childbearing age (i.e., fear of side effects; costs of vaccinations; not being perceived as a priority by other medical professionals; inappropriate risk perception by pregnant women; vaccination services are scarcely available; inappropriate understanding of official recommendations by pregnant women; inappropriate understanding of official recommendations by medical professionals), and participants were asked to rate their perceived significance through a 5-point Likert scale ranging from 1 (not agreeing at all) to 5 (totally agreeing).
All questions were self-reported and not externally validated. The internal consistency or reliability of each of the sections of the questionnaire was assessed with the Cronbach alpha test, the results of which were interpreted in accordance with the literature. An English translation of the questionnaire is available on request to the study Authors.

4.3. Ethical Approval

Before giving their consent to the survey, participants were briefed that the principles and guidelines of the Helsinki Declaration would be followed across all steps of this study. More precisely, data were gathered anonymously and handled confidentially, being stored for a limited timeframe, in order to only allow aggregate data analysis. Participation was strictly voluntary, and no monetary or other compensation was offered to the participants. Moreover, only subjects who had expressed consent for study participation were able to provide the questionnaire for data analysis. As individuals cannot be identified based on the presented material, this study caused no plausible harm or stigma to participants. The study was deliberately designed with an anonymous, observational approach, and it did not include clinical data. Moreover, demographic data were deliberately limited to very generic items (i.e., age, seniority, and gender). According to Italian law (Gazzetta Ufficiale no. 76, dated 31 March 2008; Supplementary File S3), a preliminary evaluation by an ethical committee was not required.

4.4. Data Analysis

Cumulative scores (RPS, GKS) were initially normalized to percent value, being then dichotomized by median value as “high” (i.e., >median) and “low” (≤median) groups. All continuous variables were reported as mean ± standard deviation. After visual inspection, their distributions were assessed by means of the D’Agostino–Pearson K2 test and compared through the Student’s t-test for unpaired data or ANOVA for K2 test p value > 0.100 (i.e., normally distributed variable), or through the Mann–Whitney or Kruskal–Wallis test for K2 test p value < 0.100 (i.e., not normally distributed variable). According to the distribution of variables, their correlation was then assessed by Pearson’s correlation coefficient (i.e., normally distributed variables) or through Spearman’s ranks test (i.e., not normally distributed variable).
In order to properly characterize explanatory variables of the outcome variables represented by a somewhat positive attitude towards recommending SIV, Tdap, and SARS-CoV-2 vaccine, a multivariable analysis was modeled as follows. Firstly, univariate analysis of all of the categorical variables was performed in respect of the aforementioned outcome variables through a chi-squared test in order to test variables to be included in the multivariable analysis. All variables that at univariate analysis were significantly (p < 0.05) associated with a somewhat positive attitude towards recommending SIV, Tdap, and SARS-CoV-2 vaccines were then included in a stepwise binary logistic regression analysis model in order to calculate multivariate odds ratios (aOR) and their respective 95% confidence intervals (95%CI). We opted for a more restrictive stepwise approach over an a priori modeling as in a small dataset the latter could find many false associations that happen only by chance [140]. All statistical analyses were performed by means of IBM SPSS Statistics 26.0 for Macintosh (IBM Corp. Armonk, NY, USA).

5. Conclusions

OPs are called upon to play a dual key role, i.e., reconciling the right to work and protecting and promoting workers’ health at the same time. Despite a generally favorable attitude towards vaccines among our OP respondents, the results of our study suggest substantial knowledge gaps and a need for better training in the area of immunization of pregnant women. Because of the low response to the survey, however, these results remain preliminary.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/women3020019/s1, File S1: STROBE checklist; File S2: Authors’ translation of the informed consent; File S3: Author’s translation of the Gazzetta Ufficiale no. 76, dated 31 March 2008.

Author Contributions

Conceptualization, M.R., A.B., and F.M; Data curation, M.R.; Formal analysis, M.R. and A.B.; Funding acquisition, M.P.C.; Investigation, M.R. and F.M.; Methodology, M.R.; Project administration, F.M.; Resources, A.B.; Software, M.R. and A.B.; Validation, M.R. and F.M.; Writing—original draft, A.B., M.P.C., and F.M.; Writing—review and editing, A.B: and M.P.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki. A preventive ethical review and approval were waived for this study because of its anonymous, observational design and due to the lack of clinical data about patients that could configure the present research as a clinical trial. Participants were also guaranteed that retrieved data would be stored only for the time required by data analysis. The study, therefore, did not configure itself as a clinical trial, and a preliminary evaluation by an ethical committee was not required, according to Italian law (Gazzetta Ufficiale no. 76, dated 31 March 2008).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available on request.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1. Risk Perception Score (RPS) towards a selected series of vaccine-preventable diseases in pregnant women. Notes: Diph. = diphtheria; HBV = hepatitis B virus; Pert. = pertussis; SIV = Seasonal influenza vaccine; Var. = varicella.
Figure A1. Risk Perception Score (RPS) towards a selected series of vaccine-preventable diseases in pregnant women. Notes: Diph. = diphtheria; HBV = hepatitis B virus; Pert. = pertussis; SIV = Seasonal influenza vaccine; Var. = varicella.
Women 03 00019 g0a1
Figure A2. Risk Perception Score (RPS) towards a selected series of vaccines to be performed in pregnant women. Notes: AdV = adenoviral vector; mRNA = mRNA-based vaccine; Diph. = diphtheria; HBV = hepatitis B virus; Pert. = pertussis; SIV = Seasonal influenza vaccine; Var. = varicella.
Figure A2. Risk Perception Score (RPS) towards a selected series of vaccines to be performed in pregnant women. Notes: AdV = adenoviral vector; mRNA = mRNA-based vaccine; Diph. = diphtheria; HBV = hepatitis B virus; Pert. = pertussis; SIV = Seasonal influenza vaccine; Var. = varicella.
Women 03 00019 g0a2
Table A1. Summary of shortcuts and acronyms employed across the manuscript.
Table A1. Summary of shortcuts and acronyms employed across the manuscript.
AcronymsMeaning
95%CI95% Confidence Interval
aORAdjusted Odds Ratio
BMIBody Mass Index
COVID-19Coronavirus Disease 2019
GKSGeneral Knowledge Score
HAVHepatitis A Virus
HBVHepatitis B Virus
HPVHuman Papillomavirus
ICOHInternational Commission on Occupational Health
ISSItalian National Institute of Health (in Italian, Istituto Superiore di Sanità)
KAPKnowledge, Attitudes, Practices
MPRMeasles-Parotitis-Rubella vaccine
NHSNational Health Service
NIP(Italian) National Immunization Plan
OPsOccupational Physicians
PPEPersonal Protective Equipment
RPSRisk Perception Score
RSVRespiratory Syncytial Virus
SARS-CoV-2Severe acute respiratory syndrome coronavirus 2
SIVSeasonal Influenza Virus
STROBESTrengthening the Reporting of Observational studies in Epidemiology
Tdaptrivalent formulation tetanus-diphtheria-acellular pertussis
VPDsVaccine-Preventable Disease
Table A2. Knowledge Test in 120 occupational physicians participating in a survey on vaccinations in pregnant women (Italy, 2022).
Table A2. Knowledge Test in 120 occupational physicians participating in a survey on vaccinations in pregnant women (Italy, 2022).
StatementCorrect AnswerNo./120, %
Q01. Addictive used in vaccines are not dangerous for human healthTRUE80, 66.7%
Q02. Multiple sclerosis may be elicited by HBV recombinant vaccineFALSE105, 87.5%
Q03. Subacute sclerosing panencephalitis can be elicited by the measles vaccineFALSE81, 67.5%
Q04. Encephalitis lethargica can be elicited by vaccines against influenza (in particular, against pandemic influenza)FALSE80, 66.7%
Q05. Some vaccinations increase the risk of developing diabetesFALSE100, 83.3%
Q06. Some vaccinations increase the risk of developing autoimmune disorders including Hashimoto’s thyroiditisFALSE76, 63.3%
Q07. Some vaccinations increase the risk of developing autism (e.g., vaccine against measles)FALSE110, 91.7%
Q08. Some vaccinations increase the risk of developing allergiesFALSE85, 70.8%
Q09. Vaccines are of limited value in controlling infectious diseases as etiological drugs are extensively availableFALSE110, 91.7%
Q10. Without vaccination programs, smallpox would still existTRUE115, 95.8%
Q11. The efficacy of vaccines has been extensively provenTRUE115, 95.8%
Q12. Children would exhibit greater resistance to infectious diseases if they received a more limited number of vaccinesFALSE100, 93.3%
Q13. A substantial share of vaccines is delivered too early to properly activate the immune systemFALSE105, 87.5%
Q14. The proper development of the immune system could be impaired by the delivery of a large number of vaccinesFALSE85, 70.8%
Q15. According to the current National Vaccination Plan, shots with combined vaccine Diphtheria-Tetanus-Pertussis (Tdap) to all pregnant womenTRUE65, 54.2%
Q16. According to the current National Vaccination Plan, vaccines should be avoided during pregnancy, in generalFALSE110, 91.7%
Q17. According to the current National Vaccination Plan, live-attenuated vaccines should be avoided during pregnancyTRUE65, 54.2%
Q18. According to the current National Vaccination Plan, tetanus vaccination shots should be delivered to all adults every 10 yearsTRUE110, 91.7%
Q19. A vaccine preventing Respiratory Syncytial Virus (RSV) is currently recommended for pregnant womenFALSE45, 37.5%
Q20. According to the current National Vaccination Plan, seasonal influenza vaccine should be avoided in pregnant women during the third trimesterFALSE97, 80.8%
Q21. Vaccines against measles, parotitis, and rubella (with and without varicella) can elicit secondary cases with epidemic potentialFALSE81, 67.5%
Q22. According to our current understanding, mRNA vaccines against SARS-CoV-2 can elicit impairment of fertilityFALSE95, 79.2%
Q23. According to our current understanding, mRNA vaccines against SARS-CoV-2 should be avoided in women with a previous history of deep vein thrombosisFALSE57, 47.5%
Q24. According to the current guidelines, combined delivery of SARS-CoV-2 and Seasonal Influenza vaccines in pregnant women is a potential option.TRUE100, 83.3%
Q25. Pregnant women should avoid all occupational settings with a well-defined biological risk.TRUE104, 86.7%
Table A3. Comparison between perceived Risk Perception Score (RPS, potential range 0 to 100) on natural infections in pregnant women for selected pathogens as reported by 120 occupational physicians participating in the present survey (Italy, 2022) (Note: 95%CI = 95% confidence interval; ANOVA = analysis of the variance).
Table A3. Comparison between perceived Risk Perception Score (RPS, potential range 0 to 100) on natural infections in pregnant women for selected pathogens as reported by 120 occupational physicians participating in the present survey (Italy, 2022) (Note: 95%CI = 95% confidence interval; ANOVA = analysis of the variance).
PathogenRPS (95%CI)Mean Difference (95%CI)p Value
(ANOVA, Dunnet’s Post Hoc Test)
Seasonal influenza Virus45.29 (39.59 to 50.99)REFERENCEREFERENCE
Tetanus26.58 (23.37 to 31.80)18.71 (9.31 to 28.11)<0.001
Diphtheria27.58 (23.37 to 31.80)17.71 (8.31 to 27.11)<0.001
Pertussis37.79 (32.69 to 42.89)7.50 (−1.90 to 16.90)0.185
Measles41.00 (36.25 to 45.75)4.29 (−5.11 to 13.69)0.774
Parotitis40.75 (35.78 to 45.72)4.54 (−4.86 to 13.94)0.722
Rubella50.33 (45.50 to 55.16)−5.04 (−14.44 to 4.36)0.614
Varicella49.42 (44.42 to 54.41)−4.13 (−13.52 to 5.27)0.806
Hepatitis B35.08 (31.11 to 39.06)10.21 (0.81 to 19.61)0.026
SARS-CoV-252.71 (46.76 to 58.65)−7.42 (−16.81 to 1.98)0.195
Table A4. Comparison between perceived Risk Perception Score (RPS, potential range 0 to 100) on vaccinations for pregnant women as reported by 120 occupational physicians participating in the present survey (Italy, 2022) (Note: 95%CI = 95% confidence interval; ANOVA = analysis of the variance).
Table A4. Comparison between perceived Risk Perception Score (RPS, potential range 0 to 100) on vaccinations for pregnant women as reported by 120 occupational physicians participating in the present survey (Italy, 2022) (Note: 95%CI = 95% confidence interval; ANOVA = analysis of the variance).
PathogenRPS (95%CI)Mean Difference (95%CI)p Value
(ANOVA, Dunnet’s Post Hoc Test)
Seasonal Influenza Vaccine12.13 (9.42 to 14.83)REFERENCEREFERENCE
Tetanus11.38 (8.61 to 14.14)0.75 (−5.94 to 7.44)0.999
Diphtheria12.13 (9.12 to 15.13)0.00 (−6.69 to 6.69)1.000
Pertussis12.96 (9.88 to 16.03)−0.83 (−7.53 to 5.86)0.999
Measles18.44 (14.85 to 22.04)−6.32 (−13.01 to 0.38)0.075
Parotitis19.52 (15.89 to 23.14)−7.39 (−14.09 to −0.70)0.022
Rubella21.79 (17.75 to 25.83)−9.67 (−16.36 to 2.97)0.001
Varicella25.46 (20.81 to 30.11)−13.33 (−20.03 to −6.64)<0.001
Hepatitis B15.29 (12.35 to 18.23)−3.17 (−9.86 to 3.53)0.775
SARS-CoV-2
mRNA15.67 (12.16 to 19.18)−3.54 (−10.24 to 3.15)0.660
Adenoviral carrier19.92 (16.34 to 23.50)−7.79 (−14.49 to −1.10)0.013
Subunit vaccine15.17 (12.25 to 18.08)−3.04 (−9.74 to 3.65)0.811
Table A5. Correlation of Risk Perception Score (RPS) on diseases and corresponding vaccinations, and General Knowledge Score in 120 Italian occupational physicians participating in the survey on vaccines in pregnant women. The correlation was assessed by means of Spearman’s rank test.
Table A5. Correlation of Risk Perception Score (RPS) on diseases and corresponding vaccinations, and General Knowledge Score in 120 Italian occupational physicians participating in the survey on vaccines in pregnant women. The correlation was assessed by means of Spearman’s rank test.
RPS (Disease)
vs.
GKS
RPS (Vaccination)
vs.
RPS (Disease)
RPS (Vaccination)
vs.
GKS
Seasonal Influenza Virusr = 0.341
p < 0.001
r = −0.157
p = 0.088
r = −0.352
p < 0.001
Diphtheriar = 0.072
p = 0.473
r = 0.008
p = 0.931
r = −0.450
p < 0.001
Tetanusr = 0.041
p = 0.655
r = −0.136
p = 0.139
r = −0.367
p < 0.001
Pertussisr = 0.200
p = 0.028
r = 0.152
p = 0.097
r = −0.379
p < 0.001
Measlesr = 0.356
p < 0.001
r = 0.121
p = 0.186
r = −0.061
p = 0.509
Parotitisr = 0.237
p = 0.009
r = 0.146
p = 0.111
r = −0.079
p = 0.391
Rubellar = 0.177
p = 0.053
r = 0.208
p = 0.022
r = −0.056
p = 0.541
Varicellar = 0.196
p = 0.032
r = 0.135
p = 0.141
r = −0.010
p = 0.918
Hepatitis B Virusr = 0.406
p < 0.001
r = 0.164
p = 0.074
r = −0.191
p = 0.037
SARS-CoV-2r = 0.428
p < 0.001
--
mRNA vaccine-r = −0.054
p = 0.558
r = −0.354
p < 0.001
Adenoviral-based vaccines-r = 0.239
p = 0.009
r = −0.294
p = 0.001
Subunit-r = 0.155
p = 0.091
r = −0.314
p < 0.001
Table A6. Summary of the categorical variables that were included as explanatory ones in the logistic regression models (Model 1: outcome variable, somehow positive attitude towards Seasonal Influenza Vaccine, SIV; Model 2: outcome variable, somehow positive attitude towards tetanus-diphtheria-pertussis [Tdap] vaccine; Model 3: outcome variable, somehow positive attitude towards SARS-CoV-2 vaccines) (Note: RPS = risk perception score).
Table A6. Summary of the categorical variables that were included as explanatory ones in the logistic regression models (Model 1: outcome variable, somehow positive attitude towards Seasonal Influenza Vaccine, SIV; Model 2: outcome variable, somehow positive attitude towards tetanus-diphtheria-pertussis [Tdap] vaccine; Model 3: outcome variable, somehow positive attitude towards SARS-CoV-2 vaccines) (Note: RPS = risk perception score).
Model IModel 2Model 3
Male GenderNot includedIncludedNot included
Age ≥ 50 yearsNot includedNot includedIncluded
Any Child in the householdNot includedNot IncludedNot included
Higher Knowledge statusIncludedIncludedIncluded
Working as Occupational Physician for Healthcare facilitiesIncludedNot includedNot included
Vaccinated (SIV)Included--
Vaccinated (Tdap)-Not included-
Vaccinated (SARS-CoV-2)--Included
Higher RPS vs. seasonal influenzaIncluded--
Higher RPS vs. diphtheria-Included-
Higher RPS vs. tetanus-Not included-
Higher RPS vs. pertussis-Included-
Higher RPS vs. SARS-CoV-2--Not included
Higher RPS vs. SIVIncluded--
Higher RPS vs. diphtheria vaccine-Not included-
Higher RPS vs. tetanus vaccine-Included-
Higher RPS vs. pertussis vaccine-Not included-
Higher RPS vs. SARS-CoV-2 vaccine (mRNA)--Included
Higher RPS vs. SARS-CoV-2 vaccine (adenoviral carrier)--Included
Higher RPS vs. SARS-CoV-2 vaccine (subunit)--Not Included

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Figure 1. Flowchart of participants included in the present survey.
Figure 1. Flowchart of participants included in the present survey.
Women 03 00019 g001
Figure 2. Density plots on general knowledge score (GKS) for participants fulfilling all inclusion criteria (No. 120, 5.9% of the original sample). Average GKS was estimated to be 74.5% ± 18.2 (actual range 28.6–100%; median 78.6%), with a non-Gaussian distribution as confirmed by D’Agostino–Pearson test (K2 = 22.17, p < 0.001).
Figure 2. Density plots on general knowledge score (GKS) for participants fulfilling all inclusion criteria (No. 120, 5.9% of the original sample). Average GKS was estimated to be 74.5% ± 18.2 (actual range 28.6–100%; median 78.6%), with a non-Gaussian distribution as confirmed by D’Agostino–Pearson test (K2 = 22.17, p < 0.001).
Women 03 00019 g002
Figure 3. Density plots on General Knowledge Score (GKS). Estimates were broken down by the reported attitude towards the following vaccinations: (a) SIV (Seasonal Influenza Virus), (b) Tdap, and (c) SARS-CoV-2. Briefly, estimates were substantially greater among individuals reporting a positive attitude than among those not recommending the assessed vaccination (i.e., SIV 81.7% ± 12.4 vs. 60.1% ± 19.5, Mann–Whitney [M-W] U = 2725.0, p < 0.001; Tdap 80.0% ± 14.4 vs. 61.3% ± 19.9, M-W U = 2458.0, p < 0.001; SARS-CoV-2 79.4% ± 14.3 vs. 60.6% ± 21.1, M-W U = 2194.5, p < 0.001).
Figure 3. Density plots on General Knowledge Score (GKS). Estimates were broken down by the reported attitude towards the following vaccinations: (a) SIV (Seasonal Influenza Virus), (b) Tdap, and (c) SARS-CoV-2. Briefly, estimates were substantially greater among individuals reporting a positive attitude than among those not recommending the assessed vaccination (i.e., SIV 81.7% ± 12.4 vs. 60.1% ± 19.5, Mann–Whitney [M-W] U = 2725.0, p < 0.001; Tdap 80.0% ± 14.4 vs. 61.3% ± 19.9, M-W U = 2458.0, p < 0.001; SARS-CoV-2 79.4% ± 14.3 vs. 60.6% ± 21.1, M-W U = 2194.5, p < 0.001).
Women 03 00019 g003
Table 1. Characteristics of the 120 Italian occupational physicians who participated in the present survey (Italy, 2022).
Table 1. Characteristics of the 120 Italian occupational physicians who participated in the present survey (Italy, 2022).
VariableNo./120Average ± SD
Gender
Male61, 50.8%
Female59, 49.2%
Age (years) 48.2 ± 5.9
Age ≥ 50 years36, 30.0%
Offspring104, 86.7%
Seniority (years) 16.3 ± 10.3
Seniority ≥ 10 years90, 75.0%
Working as Occupational Physician for Healthcare Facilities86, 71.7%
General Knowledge Score (%) 74.5% ± 18.2
General Knowledge Score > median (78.6%)47, 39.2%
Table 2. Perceived barriers towards vaccinations of pregnant women as reported by 120 Italian occupational physicians (Italy, 2022).
Table 2. Perceived barriers towards vaccinations of pregnant women as reported by 120 Italian occupational physicians (Italy, 2022).
Perceived Barriers towards Vaccinations of Pregnant Women (Agree/Totally Agree)No./120, %
Fear of side effects85, 70.8%
Costs of vaccinations15, 12.5%
Not perceived as a priority by other medical professionals55, 45.9%
Inappropriate risk perception by pregnant women100, 83.3%
Vaccination services are scarcely available45, 37.5%
Inappropriate understanding of official recommendations by pregnant women95, 79.2%
Inappropriate understanding of official recommendations by medical professionals75, 62.5%
Table 3. Vaccinations actively recommended for women of childbearing age by 120 Italian occupational physicians (Italy, 2022).
Table 3. Vaccinations actively recommended for women of childbearing age by 120 Italian occupational physicians (Italy, 2022).
Vaccines Actively Recommended on Women of Childbearing AgeNo./120, %
Seasonal Influenza Virus80, 66.7%
Diphtheria/Tetanus/Pertussis85, 70.8%
Measles/Mumps/Rubella 55, 45.8%
Varicella50, 41.7%
Hepatitis B Virus65, 54.2%
SARS-CoV-289, 74.2%
Table 4. Vaccination status self-reported by 120 Italian occupational physicians (Italy, 2022).
Table 4. Vaccination status self-reported by 120 Italian occupational physicians (Italy, 2022).
Previously Vaccinated against …No./120, %
Seasonal Influenza Virus 179, 65.8%
Diphtheria/Tetanus/Pertussis 274, 61.7%
Measles/Parotitis/Rubella76, 63.3%
Varicella20, 16.7%
Hepatitis B Virus 386, 71.7%
SARS-CoV-2110, 91.7%
Notes: (1) at least 1 time in the previous 5 years; (2) at least 1 vaccination shot in the previous 10 years; (3) at least 1 vaccination shot in the previous 10 years, or documented antibody titer as >10 UI/mL.
Table 5. Association between the individual attitude towards seasonal influenza vaccine (SIV), diphtheria, tetanus, and pertussis formulate (Tdap), and SARS-CoV-2 vaccination among 120 Italian occupational physicians (Italy, 2022). Note: RPS = risk perception score.
Table 5. Association between the individual attitude towards seasonal influenza vaccine (SIV), diphtheria, tetanus, and pertussis formulate (Tdap), and SARS-CoV-2 vaccination among 120 Italian occupational physicians (Italy, 2022). Note: RPS = risk perception score.
SIV
Favorable
(No./80, %)
Not Favorable
(No./40, %)
p value
Male Gender45, 56.3%16, 40.0%0.138
Age ≥ 50 years24, 30.0%12, 30.0%1.000
Any Offspring69, 86.3%35, 87.5%1.000
Higher Knowledge status44, 55.0%3, 7.5%<0.001
Working as Occupational Physician for Healthcare facilities51, 63.7%35, 87.5%0.012
Vaccinated against SIV66, 82.5%13, 32.5%<0.001
Higher RPS vs. SIV50, 62.5%10, 25.0%<0.001
Higher RPS vs. SIV vaccine20, 25.0%30, 75.0%<0.001
Tdap
Favorable
(No./85, %)
Not Favorable
(No./35, %)
p value
Male Gender50, 58.8%11, 31.4%0.011
Age ≥ 50 years24, 28.2%12, 34.3%0.661
Any Offspring74, 87.1%30, 85.7%1.000
Higher Knowledge status44, 51.8%3, 8.6%<0.001
Working as Occupational Physician for Healthcare facilities61, 71.8%25, 71.4%1.000
Vaccinated with Tdap51, 60.0%23, 65.7%0.705
Higher RPS vs. diphtheria45, 52.9%5, 14.3%<0.001
Higher RPS vs. diphtheria vaccine15, 17.6%10, 28.6%0.275
Higher RPS vs. tetanus40, 47.1%10, 28.6%0.096
Higher RPS vs. tetanus vaccine15, 17.6%15, 42.9%0.008
Higher RPS vs. pertussis55, 64.7%5, 14.3%<0.001
Higher RPS vs. pertussis vaccine34, 40.0%20, 57.1%0.130
SARS-CoV-2
Favorable
(No./89, %)
Not Favorable
(No./31, %)
p value
Male Gender43, 48.3%16, 51.6%0.914
Age ≥ 50 years20, 22.5%16, 51.6%0.005
Any Offspring77, 86.5%27, 87.1%1.000
Higher Knowledge status45, 50.6%2, 6.5%<0.001
Working as Occupational Physician for Healthcare facilities65, 73.0%21, 67.7%0.740
Vaccinated against SARS-CoV-288, 98.9%22, 71.0%<0.001
Higher RPS vs. SARS-CoV-248, 54.5%12, 37.5%0.148
Higher RPS vs. SARS-CoV-2 vaccine (mRNA)34, 38.2%21, 67.7%0.008
Higher RPS vs. SARS-CoV-2 vaccine (adenoviral carrier)39, 43.8%21, 67.7%0.037
Higher RPS vs. SARS-CoV-2 vaccine (subunit)43, 48.3%17, 54.8%0.677
Table 6. Multivariable analysis of factors associated with a better individual attitude towards seasonal influenza vaccine (SIV), diphtheria, tetanus, and pertussis formulate (Tdap), and SARS-CoV-2 vaccination among 120 occupational physicians participating in the survey. The assessed models included the favorable attitude towards the individual vaccine as the outcome variable, and assessed as explanatory variables all factors that in univariate analysis were associated (p < 0.05) with the corresponding outcomes.
Table 6. Multivariable analysis of factors associated with a better individual attitude towards seasonal influenza vaccine (SIV), diphtheria, tetanus, and pertussis formulate (Tdap), and SARS-CoV-2 vaccination among 120 occupational physicians participating in the survey. The assessed models included the favorable attitude towards the individual vaccine as the outcome variable, and assessed as explanatory variables all factors that in univariate analysis were associated (p < 0.05) with the corresponding outcomes.
SIVTdapSARS-CoV-2
Adjusted Odds Ratio (95% Confidence Intervals)
Male Gender-10.22 (2.60; 40.24)-
Age ≥ 50 years--0.62 (0.19; 1.99)
Higher Knowledge status102.24 (9.68; 1080.26)12.34 (2.62; 58.22)14.76 (2.74; 79.69)
Working as Occupational Physician for Healthcare facilities0.03 (0.01; 0.43)--
Vaccinated against…
SIV4.90 (1.19; 20.14)--
SARS-CoV-2--7.66 (0.72; 81.12)
Higher RPS vs. the pathogen
SIV1.04 (0.23; 4.71)--
diphtheria-2.38 (0.36; 15.84)-
pertussis-10.38 (1.47; 73.47)-
Higher RPS vs. the vaccination
SIV0.04 (0.01; 0.35)--
tetanus-0.34 (0.10; 1.17)-
SARS-CoV-2, mRNA--0.14 (0.02; 1.17)
SARS-CoV-2, adenoviral vector--2.59 (0.31; 21.45)
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Riccò, M.; Baldassarre, A.; Cerviere, M.P.; Marchesi, F. Vaccine Hesitancy in Women of Childbearing Age and Occupational Physicians: Results from a Cross-Sectional Study (Italy, 2022). Women 2023, 3, 237-262. https://doi.org/10.3390/women3020019

AMA Style

Riccò M, Baldassarre A, Cerviere MP, Marchesi F. Vaccine Hesitancy in Women of Childbearing Age and Occupational Physicians: Results from a Cross-Sectional Study (Italy, 2022). Women. 2023; 3(2):237-262. https://doi.org/10.3390/women3020019

Chicago/Turabian Style

Riccò, Matteo, Antonio Baldassarre, Milena Pia Cerviere, and Federico Marchesi. 2023. "Vaccine Hesitancy in Women of Childbearing Age and Occupational Physicians: Results from a Cross-Sectional Study (Italy, 2022)" Women 3, no. 2: 237-262. https://doi.org/10.3390/women3020019

APA Style

Riccò, M., Baldassarre, A., Cerviere, M. P., & Marchesi, F. (2023). Vaccine Hesitancy in Women of Childbearing Age and Occupational Physicians: Results from a Cross-Sectional Study (Italy, 2022). Women, 3(2), 237-262. https://doi.org/10.3390/women3020019

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