2,114
Views
4
CrossRef citations to date
0
Altmetric
Coronavirus – Research Paper

Factors associated to COVID-19 vaccine acceptance in Mexican patients with rheumatic diseases: A cross-sectional and multicenter study

, , , , ORCID Icon, , ORCID Icon, , , , , , ORCID Icon, ORCID Icon & ORCID Icon show all
Article: 2049131 | Received 22 Dec 2021, Accepted 25 Feb 2022, Published online: 07 Apr 2022

ABSTRACT

COVID-19 vaccination is recommended in patients with rheumatic diseases (RDs) to prevent hospitalized COVID-19 and worse outcomes. However, patients’ willingness to receive a SARS-CoV-2 vaccine and the associated factors vary across populations, vaccines, and time. The objective was to identify factors associated with COVID-19 vaccine acceptance (VA) in Mexican outpatients with RDs. This multicenter study was performed between March 1 and September 30, 2021, and four national centers contributed with patients. Participants filled out a questionnaire, which included 32 items related to patients’ perception of the patient-doctor relationship, the COVID-19 vaccine component, the pandemic severity, the RD-related disability, comorbid conditions control, immunosuppressive treatment impact on the immune system, and moral/civil position of COVID-19 vaccine. Sociodemographic, disease-related, and treatment-related variables and previous influenza record vaccination were also obtained. Multiple logistic regression analyses identified factors associated with VA, which was defined based on a questionnaire validated in our population. There were 1439 patients whose data were analyzed, and the most frequent diagnoses were Rheumatoid Arthritis in 577 patients (40.1%) and Systemic Lupus Erythematosus in 427 (29.7%). Patients were primarily middle-aged women (1235 [85.8%]), with (mean±SD) 12.1 (±4.4) years of formal education. Years of education, corticosteroid use, patient perceptions about the vaccine and the pandemic severity, patient civil/moral position regarding COVID-19 vaccine, and previous influenza vaccination were associated with VA. In Mexican patients with RDs, COVID-19 VA is associated with individual social-demographic and disease-related factors, patient´s perceptions, and previous record vaccination. This information is crucial for tailoring effective vaccine messaging in Mexican patients with RDs.

Introduction

During the preceding months, it has become evident that either no or mild differences in COVID-19 severity had been identified in patients affected by rheumatic diseases (RDs) although particular subgroups of patients might be susceptible to poor outcomesCitation1. Recent evidence suggests that immunocompromised patients may have prolonged viral infection and viral evolution that might result in SARS-CoV-2 variants.Citation1 Meanwhile, COVID-19 vaccination offers the possibility of protecting patients with RDs for hospitalized COVID-19 and worse outcomes,Citation1,Citation2 without a significant negative impact on the trajectory of the underlying disease.Citation3,Citation4

Previous descriptions of RDs patients’ willingness to receive a SARS-CoV-2 vaccine had shown substantial variation across populations,Citation5–13 ranging from 29.2% in participants from Istanbul (Turkey)Citation8to 82% in Italian patients.Citation11 Reasons for vaccine hesitancy (VH), the term used to define refusal or reluctance in accepting vaccination despite the availability of vaccination services,Citation14 are multifaceted and vary across vaccines, time, and regions. Meanwhile, the most widespread sources of VH pertain to fear of vaccine side effects, perceived low risk of vaccine-preventable diseases, and mistrust in healthcare providers.Citation14 A recent international survey among 2860 vaccinated adult patients with RMDs,Citation4 primarily white middle-aged females with RA, reported that adverse events affected up to 48% of the participants; the most frequently identified were fatigue, headache, and widespread muscle/joint pain. Similar results were confirmed in 2025 Mexican patients with autoimmune and inflammatory rheumatic diseases (AIIRD) who received six different SARS-CoV-2 vaccines.Citation15 People with RDs may have additional concerns on how their underlying disease and their immunomodulatory therapies affect the benefit and safety of receiving COVID-19 vaccination.Citation4,Citation16 More recently, specific individual characteristics, such as experience being vulnerable, had shown to weigh on individual vaccination decisions in young, healthy Italian adults.Citation17 These findings align with the empathy-altruism hypothesis, which argues that empathetic concern produces altruistic motivations and triggers decisions to vaccinate to help those unable to do so.Citation18 Such a hypothesis might have a particular impact in patients with RDs, where both extrinsic and intrinsic sources of vulnerability have been described.Citation19

In less than a year, the scientific community has succeeded in the monumental task of developing safe and effective vaccine platforms against SARS-CoV-2. The most recent COVID-19 Vaccine Clinical Guidance for Patients with Rheumatic and Musculoskeletal Diseases recommend COVID-19 vaccination (primary series and booster) in patients with RMDs and AIIRD, consistent with an age restriction (currently) valid in the EUA.Citation2 In particular, for AIIRD patients unvaccinated, either of the mRNA vaccines is recommended over other vaccine platforms, while the rapidly evolving evidence is recognized and frequent updates of the guidance are anticipated.Citation2 We are now facing the equally important question of how to convince a hesitant public to vaccinate and to continue to engage in behaviors that safeguard those unable to vaccinate until herd immunity is achieved, which appears a distant target with novel SARS-CoV-2 variants identification.Citation17 In such context, understanding the reasons for patients and physicians regarding VH is critical for informing the design of effective vaccine messaging in the community of patients with RDs. When it comes to VH, what matters most varies across time and communities, highlighting the relevance of addressing the topic from a cultural perspective. However, published evidence regarding the COVID-19 VH phenomenon in patients with RDs lacks the perspective of the Latin-American region, highly represented with low- and middle-income countries; interestingly, a higher willingness to take a COVID-19 vaccine was recently found in low–middle-income countries, compared with the United States and Russia, in the general population.Citation20

We recently presented the rationale and the methods for the translation and cultural adaptation and validation process of a questionnaire allowing for assessing the COVID-19 VH phenomenon in Spanish-speaking patients with RDs; the questionnaire was valid, reliable, and feasible in a real outpatient setting.Citation21 The objective of the current study was to identify factors associated with COVID-19 vaccine acceptance (VA), which belongs to the continuum of the VH phenomenon, in outpatients with a wide variety of RDs from four national centers in Mexico’s metropolitan areas.

Patients and methods

Setting and study population

Four public tertiary care level and academic centers for RDs, located in metropolitan areas in Mexico, contributed with participants: The Instituto Nacional de Ciencias Médicas y Nutrición Salvador-Zubirán (INCMyN-SZ) (Mexico City), the Hospital General de México Dr. Eduardo Liceaga (HGM-EL) (Mexico City), the Hospital General Dr. Salvador Zubirán (HG-SZ) (Chihuahua, Chihuahua) and the Hospital Universitario José Eleuterio González (HU-JEG) (Monterrey, Nuevo León). Before the pandemic, between 1,500 and 13,000 patients were attending each outpatient clinic and suffered from various RDs (Supplementary Table S1). During the study period, consecutive outpatients with a definite rheumatologic diagnosis according to the attendant rheumatologist criteria were invited to participate. Exclusion criteria included patients on palliative care.

Study design and patients´ assessments

This cross-sectional and multicenter study was performed between March 1 and September 30, 2021 (ClinicalTrials.gov Identifier: NCT04775563). Potential participants were identified at the outpatient clinic while waiting for a scheduled consultation. Upon patient’s agreement to participate, two questionnaires were administered to patients, who were instructed to fill them: The COVID-19 VH questionnaire (C19VHQ)Citation21and a locally developed questionnaire directed to assess factors associated with vaccine uptake (C19FAVUQ). Patients could be assisted in filling questionnaires depending on patient institution allocation and patient education level.

In addition, standardized formats were used at patient study entry, by primary physicians, to assess each patient's current level of disease activity (remission, mild, moderate, and high disease activity level), disease activity control (Yes/No), and (direction of) treatment recommendations.Citation21 Relevant sociodemographic variables (sex, years of age and formal education, occupation, living with a partner, and access to Social Security benefits), disease-related variables (specific rheumatic diagnosis, years of disease duration, and comorbid conditions),Citation22 treatment-related variables (corticosteroid use [further categorized as ≤ or > to 10 mg/day of prednisone or equivalent], use of conventional disease-modifying antirheumatic drugs [cDMARDs], and use of biologic DMARDs [bDMARDs] and use of other immunosuppressive treatment), and previous influenza record vaccination were obtained in standardized formats, after a careful chart review and patient interview.

Questionnaires’ construction and description

The C19VHQ

It is a seven-item questionnaire, in which construction and psychometric properties have been previously described.Citation21 It has been proven to be valid and reliable for assessing the COVID-19 VH phenomenon in Mexican patients with RDs. Each item is scored on a Likert scale, from 1 to 5, with higher scores translating into more VH. The “Do not know” option response is excluded from scoring. A global score is obtained as the mean of individual item scores, and to provide a score, at least six out of the seven items should be scored, which led that (mean) score range from .86 to 7.00Citation21.

The C19FAVUQ

The questionnaire was integrated with 32 items distributed in 7 components (Supplementary Table S2). Items were selected based on literature review,Citation14,Citation23–25 clinical experience of rheumatologists involved in patient care and derived from patients’ participation in a focus group.

Briefly, the focus group was conducted by a social worker (Ph.D. in Sciences) and was approximately 60 min long. It was integrated with nine patients that all together were assigned four different rheumatic diagnoses (six women, age range was 34–63 years). The topic of the assessment was exploratory on particular aspects proposed by the investigators about the factors associated with vaccine uptake, with a particular focus on COVID-19 vaccine uptake.

Description of sample

Each center contributed with at least data from 300 patients (but HU-JEG that included 288 patients), and quotes were considered to represent the distribution of the RDs for each outpatient clinic.

The final sample, which data were analyzed and the patient distribution allowed us to have a ≥ 95% power for a two-tailed test to achieve the objective described.

Strategies for quality control

Before the study initiation, its design and objectives were shared with all the physicians involved in outpatients’ care, and agreement on terminology and concepts was achieved. Also, 100 patients with RDs from the different centers participated in C19FAVUQ pilot testing.

In all the cases, questionnaires and scales were applied by trained personnel not involved in patient care, on the same day that patients visited their primary rheumatologists, and in a particular location within the outpatient clinic that was suitable for clinical research, to facilitate confidentiality and to reduce bias associated with questionnaire administration.

Statistical analysis

Descriptive statistics were performed to describe the variables of the patients included, with frequencies and percentages for categorical variables and the mean and standard deviation (SD) for continuous variables (normal distribution of data was assumed, considering n ≥ 1000).

VH and vaccine acceptance (VA) were defined if the C19VHQ global score was ≥ and < to 1.86, respectively (this cutoff was based on the 75-percentile data). Also, Likert-scale responses for each of the seven items of the C19VHQ were further grouped, and 1 and 2 Likert-scale responses were reassigned to item derived-VA.

Characteristics of patients with VA (based on the C19VHQ global score) were compared with those of their counterparts, using the XCitation2 test for the categorical variables and Student’s t-test for continuous variables.

Multiple logistic regression analysis was performed to identify factors associated with VA (dependent variable). We initially conceived a global model where variables’ inclusion was based on their statistical significance in the univariate analysis (p ≤ .10) and/or their clinical relevance. A test-based backward selection was used to define the final model. Correlations between variables were examined to avoid overfitting the models, but none was relevant (rho ≤.65). Cox and Snell‘s pseudo-R2 tests are reported as a measure of model fit goodness. The results are expressed as adjusted Odds Ratios (exponentiated regression coefficients, exp[β]) and their 95% confidence interval (95% CI).

Missing data (MD) were below 3%, and no imputation was performed.

All statistical tests were two-sided and evaluated at the .05 significance level. All analyses were performed using STATA (version 16.0, Stata Corp LLC, College Station, TX, USA) and SPSS (version 21.0, IBM Corp., Armonk, NY, USA).

Ethics

The Internal Review Board from each center approved the study: Comité de Ética e Investigación del INCMyN-SZ (reference number: IRE-3467), Comité de Ética e Investigación del HGM-EL (DI/21/404-D/03/21), Comité de ética en Investigación FMyCB (CI-033-21), and Comité de Ética en Investigación de la Facultad de Medicina y Hospital Universitario Dr. José Eleuterio González (RE21–00005). Written informed consent was obtained from all the participants.

Results

Population characteristics

There were 1480 patients included during the study period, although, in 1439 patients (97.2%), their information was consistently obtained, and their data were considered for analyses. The majority of patients were referred from the two centers located in Mexico City (891 [61.9%]), and the most frequent diagnoses were rheumatoid arthritis (RA) in 577 patients (40.1%) and systemic lupus erythematosus (SLE) in 427 (29.7%). There were some differences in the rheumatic diagnoses´ distribution between the four centers (). In the global population, 109 patients (7.6%) had two or more different rheumatic diagnoses.

Table 1. Distribution of the main diagnoses from the patients whose data were analyzed (number of patients [%])

The most relevant patients’ characteristics are presented in . Patients were primarily middle-aged women (1235 [85.8%]), living with a partner (812 [56.4%]) and working (650 [45.2%]). They had (mean [±SD]) 12.1 (±4.4) years of formal education and 10.4 (±9.4) years of disease duration. A substantial proportion of the patients (532 [37%]) had comorbid conditions. Also, their primary rheumatologist assessed the majority of them with adequate control of the underlying RD (926 [65.7%]). Regarding treatment, most of the patients received cDMARDs (1094 [76%]), while few received corticosteroids (517 [35.9%]) and immunosuppressive drugs (335 [23.3%]), and a minority bDMARDs (70 [4.9%]). Finally, and in accordance with disease activity status at study entry, there were no treatment changes recommended in the majority of patients (868 [61.6%]).

Table 2. Population characteristics and their comparison between patients with and without VA

Attitudes regarding COVID-19 vaccine

summarizes the most relevant results from the C19FAVUQ. Overall, patients totally agreed/agreed with positive components of the patient–doctor relationship (PDR) (1286 [89.4%] to 1337 [92.9%]), and their additional responses translated into a good perception of different aspects of COVID-19 vaccines and vaccination (604 [59.9%] to 1253 [97.9%]). The majority of the patients totally agreed/agreed that they will not get infected with COVID-19 over the next 12 months (604 [59.9%]) and referred to a very high/high perception of the pandemic severity (1302 [90.4%]). In general, patients’ perception of their disability related to the underlying RD was low, while their score of comorbid conditions´ control showed an area for improvement. A minority of them (471 [32.7%]) referred to a very high/high perception of the (immunosuppressive) treatment impact on their immune system. Finally, most of the patients (1369 [95.1%]) strongly agreed/partially agreed that the COVID-19 vaccine should be offered as a right by health authorities, while 890 patients (61.8%) strongly agreed/partially agreed it should be imposed. A significant proportion of the patients (408 [28.4%]) would change their willingness to get vaccinated if vaccination becomes an obligation, and half of the patients strongly agreed/agreed on the influence of the vaccine “brand” in the desire to get/not get vaccinated.

Table 3. Description of factors associated with vaccine uptake and their comparison between patients with global-VA and their counterparts

There were 328 patients (22.8%) who self-referred influenza vaccination each of the previous 5 years, while 413 (28.7%) denied it ().

Figure 1. Self-referred influenza vaccination during the previous (to study entry) 5-year period and the comparison between patients with VA and VH.[Footnotea]

Figure 1. Self-referred influenza vaccination during the previous (to study entry) 5-year period and the comparison between patients with VA and VH.[Footnotea]

Rates of VA

There were 1374 (95.5%) patients in whom the C19VHQ was scored (at least six out of seven items with “I do not know” option not scored), and 992 (72.2%) of them were classified as with VA (C19VHQ score ≥1.86).

Also, VA for each individual item of the C19VHQ showed some variations, with the lowest rate for item 3 (n = 974 [67.7%]) and the highest for item 7 (n = 1393 [96.8%), as summarized in .

Figure 2. VA for each individual item (N = 1439, no missing data).

Figure 2. VA for each individual item (N = 1439, no missing data).

Comparison of VA and VH patients

We first compared population characteristics between patients with VA and their counterparts. Patients from the former group were older, more educated, had more frequently a job and access to Social Security benefits, and were more frequently assessed by their primary physician as in remission status than patients with VH. Also, they had lesser frequently indicated corticosteroids and immunosuppressive drugs, while a similar tendency was shown regarding bDMARDs. Finally, they had more frequently no changes in their treatment at study entry; meanwhile, among those with treatment changes, the direction was more frequently related to clinical improvement compared to patients with VH ().

compares the patients’ responses to the C19FAVUQ between patients with VA and their counterparts. Compared to VH-patients, patients from the former group more frequently totally agreed/agreed with the item “I can talk to my doctor” from the PDR component, had more frequently a favorable perception of different aspects of COVID-19 vaccines and vaccination, more frequently perceived the pandemic as severe/very severe, scored lower on RD-related disability component, and more frequently strongly agreed/partially agreed that the COVID-19 vaccine should be offered as a right by Health authorities and also that it should be an obligation. Meanwhile, these patients less frequently would change their willingness to get vaccinated if vaccination becomes an obligation and less frequently strongly agreed/agreed on the influence of the vaccine “brand” in the desire to get/not get vaccinated, compared to VH patients.

Finally, VA patients more frequently referred previous consistent influenza vaccination ().

Factors associated with VA

There were 33 variables included in the initial model (Supplementary Table S3). summarizes results from multivariable logistic regression analysis. Most relevant factors associated with VA were related to a positive patient perception about the COVID-19 vaccine in terms of safety and efficacy, the pandemic severity and previous patient influenza vaccination; additional factors included changes in treatment recommendation due to clinical improvement and corticosteroid use (protective), patient position regarding COVID-19 vaccine from a Civil rights/moral approach, and years of scholarship.

Figure 3. Multiple logistic regression for VA in Mexican patients (Pseudo R2 = .219).

Figure 3. Multiple logistic regression for VA in Mexican patients (Pseudo R2 = .219).

Discussion

The study revealed that up to 72.2% of Mexican outpatients with RDs rated the C19VHQ with VA, while significant variations were identified when considering individual item responses. The influence of survey designs, question framing, and answer options on individuals’ mind-set and COVID-19 vaccine receptivity, has been recently highlighted.Citation26 In addition, a wide range of COVID-19 VA rates have been described across different populations of patients with RDs, and the studies in which data were analyzed were all survey-based.Citation5–13,Citation27 In these studies, patients from the Latin-American region were underrepresented,Citation27,Citation28 while it has emphasized the relevance of addressing the scope of COVID-19 hesitancy in some regions, including Middle and South America.Citation29 A cluster analysis international study included 53 Mexican patients with RMDs;Citation28 patients were characterized in three clusters: ”Most willing to get vaccinated,” “More hesitant,” and “Mostly opposed to getting vaccinated,” and only five patients (10%) were assigned to the first cluster. Meanwhile, a web-based survey of more than 1000 Brazilian patients with immune-mediated inflammatory diseases found that up to 82% of the patients were willing to get vaccinated.Citation27 Our rate of VA in patients with RDs was similar to that reported by Lazarus et al.Citation24 who performed a country-level analysis in 19 countries, in June 2020; authors included 699 Mexican individuals and 76.3% had VA. In January 2021, Argote-Tironi et al.Citation30 conducted an online survey across six Latin American countries, including Mexico; only 62.5% of the participants strongly agree/agree with the statement, “If a vaccine were available to me now, I would get vaccinated” and this percentage is in accordance with a 62.3% of COVID-19 VA described in a nationally representative sample of the Mexican population.Citation31

Relevant factors independently associated with VA were related to individual patient perceptions about the COVID-19 vaccine in terms of safety and efficacy, patient perception of the pandemic severity, patient previous influenza vaccination record, individual factors related to the treatment of the underlying rheumatic disease, the patient civil/moral position regarding COVID-19 vaccine and the patient education level. Overall, these results are generally consistent with those of the existing literature about vaccine uptake.Citation24,Citation30,Citation32

A recent systematic review of the factors that contribute to COVID-19 vaccine uptake among the general population across different cultural and geographical contexts identified that individual beliefs and concerns related to vaccine efficacy, safety, and side effects, insufficient vaccine testing, and quick development pace were consistent major themes that contribute to increased VH.Citation32 In the current study, the patient perception that the speed of developing and testing the vaccine translated into a safe vaccine had the most substantial impact on VA, followed by a patient agreement that the vaccine is likely to work for others. Previous studies showed that the accelerated pace of vaccine development might increase public anxieties and compromise VA.Citation33 Indeed, individuals are more averse to the risks associated with an action—getting an “unsafe” vaccine, than to the risks associated with inaction—taking a chance of contracting an infection, which is known as the omission bias.Citation25,Citation34 Also, patients’ perception of vaccine safety and efficacy might be considered a surrogate of trust in vaccines, which is the primary driver of vaccine uptake.Citation35 Finally, the patient perception that the vaccine has mild adverse effects was associated with VA in the current study; Gauer et al.Citation11also found that fear related to vaccine side effects was a common reason for VH in 280 patients with a systemic autoimmune RD and 102 controls from the general population.

Patient perception of the pandemic was very severe/severe and showed a substantial impact on VA. This result aligns with the recognized association between perceived risk and individual vaccination intention, which has been confirmed among individuals who perceived themselves as vulnerable or at greater susceptibility to COVID-19Citation36. Also, in accordance with our results, prior receipt of other vaccines, particularly past influenza vaccination, has been positively associated with COVID-19 VA, as recently highlighted in a systematic review.Citation36 This association has been confirmed in patients with RDs.Citation6,Citation7,Citation11

Two pharmacologic interventions related to the underlying RD impacted COVID-19 VA: corticosteroid use was protective, while change in treatment recommendation due to clinical improvement was a risk factor. A recent web-based survey aimed at identifying predictors of COVID-19 VH in 1000 adult Brazilians with immune-mediated inflammatory diseases identified recent corticosteroid (pulse) independently associated with higher odds of VH.Citation27 The results described might be related to the association between greater perceived susceptibility to COVID-19 and vaccination intention; previous studies had shown that moderate-to-high glucocorticoid dosages had been associated with unfavorable outcomes of COVID-19 in patients with RDs.Citation37

The patient’s perception that health authorities should offer the COVID-19 vaccine as an obligation was associated with VA, while the patient’s statement that they would change their willingness to get the vaccine if vaccination became an obligation was protective. Seeing vaccination as a social norm is a potentially powerful driver of VA, while social norms can also result in social pressure to accept vaccination.Citation25,Citation38 From another point of view, social responsibility translates into seeing vaccination as an individual's duty to maintain herd immunity and protect vulnerable individuals and has also been linked with VA.Citation25,Citation39 The patient’s perception that health authorities should offer the COVID-19 vaccine as an obligation can also be approached from the Moral Foundations Theory framework.Citation40 The theory maintains that there exist five moral contents that can be found across cultures, with cultural variations in the importance attached to each:Citation41 care/harm, fairness/cheating, loyalty/betrayal, authority/subversion, and sanctity/degradation. The patient perspective described in the results might be representative of the authority/subversion moral foundation (which emphasizes concerns related to social order and the obligations of hierarchical relationships such as obedience, respect, and proper role fulfillment), and/or the loyalty/betrayal moral foundation (which emphasizes concerns related to obligations of group membership, such as loyalty, self-sacrifice, and vigilance against betrayal). Individual differences in primary moral concerns have been related to a more significant endorsement of conspiracy theories and VH, and individual behavior was found to contain the pandemic.Citation42-44 Finally, there is published evidence confirming that mandates could increase resistance to COVID-19 vaccine uptake,Citation26 even among those with VA as observed in the current study, which should be considered in evaluating local political measures to contain the pandemic.

The low likelihood of getting the COVID19 vaccine among individuals with lower educational backgrounds has been previously identified and is especially concerning because of their disproportionately higher burden from COVID-19 disease.Citation36,Citation45 Education has been traditionally described as a strong determinant of differences in health and to determine a remarkably homogeneous gradient of prevalence at the disadvantage of low educated people across age classes for many chronic diseases,Citation46 including RDs.Citation47 According to the “layers of vulnerability” framework,Citation48 lower education confers a vulnerability state, while RDs, COVID-19 pandemic, and female gender (which has been consistently associated with VH) are conditions that contribute to individual accrual vulnerability and increase the risk of adverse outcomes.

Limitations of the study need to be addressed. First, we used the C19FAVUQ to identify VA factors, and this questionnaire lacked a formal validation process. Second, we studied a limited number of potential independent variables associated with VA, while patient´s perception of disease activity level related to the underlying rheumatic disease was not assessed; also, the determinants of attitude formation toward vaccination may range from psychological, moral, cultural, or even societal.Citation49 Third, we included a large number of RD patients from across the country, but they were primarily followed up in public institutions. Fourth, the study was developed in a particular period, and VH rates varied depending on when studies were conducted.Citation50 Finally, patient self-reported metrics may not correlate with future behavior.

VH is a complex theoretical construct, whose measurement should ideally involve its operationalization in a defined variable and the development and application of an instrument to its adequate quantification.Citation21 We previously found the C19VHQ was valid and reliable to assess the VH phenomenon in Mexican patients with RDs;Citation21 validity and reliability are critical indicators of the quality of a measuring instrument. The current study adds valuable information regarding VH determinants, in a substantial number of Mexican participants with a wide range of different rheumatologic diagnoses, while four public tertiarycare level centers in metropolitan areas contributed with patients. We consider the results could be generalized to Mexican patients with RDs and populations with similar characteristics and cultural backgrounds.

Conclusions

The current study identified the participants in COVID-19 VA among Mexican patients with RDs. Positive attitudinal beliefs about the COVID-19 vaccine and the subjective perception of the pandemic severity had the most significant impact, followed by previous individual vaccination record, which can be easily identified as a “red flag” on daily care. VA contextual factors observed were related to the underlying treatment and disease trajectory. Civil/moral factors had an additional impact, and their contribution to the VA phenomenon might be unique to the cultural background of the study population. Finally, education, which confers a consistent vulnerability state across populations, showed a little contribution to VA.Citation1

Supplemental material

Supplemental Material

Download PDF (197.1 KB)

Supplemental Material

Download PDF (195.2 KB)

Supplemental Material

Download PDF (188.6 KB)

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website at https://doi.org/10.1080/21645515.2022.2049131.

Additional information

Funding

The author(s) reported that there is no funding associated with the work featured in this article.

Notes

[a] Data are presented as number of patients (%). p value ≤.0001 for comparison of previous influenza vaccination between VA and VH patients.

References

  • Sparks JA, Wallace ZS, Robinson PC. Coronavirus disease 2019: update on coronavirus disease 2019 outcomes and vaccine efficacy in patients with immune-mediated inflammatory disease. Curr Opin Rheumatol. 2021;33:412–10. doi:10.1097/BOR.0000000000000812.
  • Curtis JR, Johnson SR, Anthony DD, Arasaratnam RJ, Baden LR, Bass AR, et al. American college of rheumatology guidance for COVID-19 vaccination in patients with rheumatic and musculoskeletal diseases – version 5. Recommendations updated February 2, 2022 [accessed 2022 March 11]. https://www.rheumatology.org/Portals/0/Files/COVID-19-Vaccine-Clinical-Guidance-Rheumatic-Diseases-Summary.pdf
  • Li X, Tong X, Yeung WWY, et al. Two-Dose COVID-19 vaccination and possible arthritis flare among patients with rheumatoid arthritis in Hong KongAnn Rheum Dis. 2022;81:564-68.
  • Sattui SE, Liew JW, Kennedy K, Sirotich E, Putman M, Moni TT, Akpabio A, Alpízar-Rodríguez D, Berenbaum F, Bulina I, et al. Early experience of COVID-19 vaccination in adults with systemic rheumatic diseases: results from the COVID-19 global rheumatology alliance vaccine survey. RMD Open. 2021;7:e001814. doi:10.1136/rmdopen-2021-001814.
  • Boekel L, Hooijberg F, van Kempen ZLE, Vogelzang EH, Tas SW, Killestein J, Nurmohamed MT, Boers M, Kuijpers TW, van Ham SM, et al. Perspective of patients with autoimmune diseases on COVID-19 vaccination. Lancet Rheumatol. 2021;3:e241–43. doi:10.1016/S2665-9913(21)00037-0.
  • Felten R, Dubois M, Ugarte-Gil MF, Chaudier A, Kawka L, Bergier H, Costecalde C, Pijnenburg L, Fort J, Chatelus E, et al. Vaccination against COVID-19: Expectations and concerns of patients with autoimmune and rheumatic diseases. Lancet Rheumatol. 2021;3:e243–45. doi:10.1016/S2665-9913(21)00039-4.
  • Priori R, Pellegrino G, Colafrancesco S, Alessandri C, Ceccarelli F, Di Franco M, Riccieri V, Scrivo R, Sili Scavalli A, Spinelli FR, et al. SARS-CoV-2 vaccine hesitancy among patients with rheumatic and musculoskeletal diseases: a message for rheumatologists. Ann Rheum Dis. 2021;80:953–54. doi:10.1136/annrheumdis-2021-220059.
  • Yurttas B, Poyraz BC, Sut N, Ozdede A, Oztas M, Uğurlu S, Tabak F, Hamuryudan V, Seyahi E. Willingness to get the COVID-19 vaccine among patients with rheumatic diseases, healthcare workers and general population in Turkey: a web-based survey. Rheumatol Int. 2021;41:1105–14. doi:10.1007/s00296-021-04841-3.
  • Smerilli G, Cipolletta E, Moscioni E, Francioso F, Risa AM, Maccarrone V, Zompa D, Di Matteo A, Di Carlo M, De Angelis R, et al. Correspondence on ‘SARS-CoV-2 vaccine hesitancy among patients with rheumatic and musculoskeletal diseases: a message for rheumatologists’. Ann Rheum Dis. 2021;80:e168. doi:10.1136/annrheumdis-2021-220586.
  • Gaur P, Agrawat H, Shukla A. COVID‑19 vaccine hesitancy in patients with systemic autoimmune rheumatic disease: an interview‑based survey. Rheumatol Int. 2021;41:1601–05. doi:10.1007/s00296-021-04938-9.
  • Campochiaro C, Trignani G, Tomelleri A, Cascinu S, Dagna L, COVID-19 Vaccine Study Group .Potential acceptance of COVID-19 vaccine in rheumatological patients: a monocentric comparative survey. Ann Rheum Dis. 2021;80:816–17. annrheumdis-2020-219811. doi:10.1136/annrheumdis-2020-219811.
  • Bugatti S, Balduzzi S, De Stefano L, Manzo A, Xoxi B, Bogliolo L, Monti S, Delvino P, Montecucco C. Correspondence on ‘EULAR December 2020 viewpoints on SARS-CoV-2 vaccination in patients with RMDs’. Ann Rheum Dis. 2021;80:e156. annrheumdis-2021-220541. doi:10.1136/annrheumdis-2021-220541.
  • Ko T, Dendle C, Woolley I, et al. SARS-COV-2 vaccine acceptance in patients with rheumatic diseases: a cross-sectional study. Hum Vaccin Immunother. 2021;17:4048-56. doi:10.1080/21645515.2021.1958611
  • MacDonald NE, . SAGE Working Group on Vaccine Hesitancy .Vaccine hesitancy: Definition, scope and determinants. Vaccine. 2015;33:4161–64. doi:10.1016/j.vaccine.2015.04.036.
  • Esquivel-Valerio JA, Skinner-Taylor CM, Moreno-Arquieta IA, Cardenas-de la Garza JA, Garcia-Arellano G, Gonzalez-Garcia PL, Almaraz-Juarez FDR, Galarza-Delgado DA. Adverse events of six COVID-19 vaccines in patients with autoimmune rheumatic diseases: a cross-sectional study. Rheumatol Int. 2021 ;41(12):2105–08. doi:10.1007/s00296-021-05017-9.
  • Furer V, Rondaan C, Agmon-Levin N, van Assen S, Bijl M, Kapetanovic MC, de Thurah A, Mueller-Ladner U, Paran D, Schreiber K, et al. Point of view on the vaccination against COVID-19 in patients with autoimmune inflammatory rheumatic diseases. RMD Open. 2021;7:e001594. doi:10.1136/rmdopen-2021-001594.
  • Cucciniello M, Pin P, Imre B, Porumbescu GA, Melegaro A. Altruism and vaccination intentions: Evidence from behavioral experiments [published online ahead of print, 2021 Jul 13]. Soc Sci Med. 2021;292:114195. doi:10.1016/j.socscimed.2021.114195.
  • Batson CD, Lishner DA, Stocks EL. The empathy—altruism hypothesis. In: Schroeder DA, Graziano WG editors. Oxford Library of psychology. The Oxford handbook of prosocial behavior. Oxford University Press; 2015. pp. 259–81.
  • Rogers W, Ballantyne A. Special populations: vulnerability and protection. RECIIS Electronic J Commun Inf Innovation Health. 2008;2(Suppl 1):S30-S40.
  • Solís Arce JS, Warren SS, Meriggi NF, Scacco A, McMurry N, Voors M, Syunyaev G, Malik AA, Aboutajdine S, Adeojo O, et al. COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries. Nat Med. 2021;27:1385–94. doi:10.1038/s41591-021-01454-y.
  • Guaracha-Basáñez G, Contreras-Yáñez, Álvarez-Hernández E, et al. COVID-19 vaccine hesitancy among Mexican outpatients with rheumatic diseases. Human Vacc Immunother 2022 17(12). Accepted for publication. doi:10.1080/21645515.2021.2003649
  • England BR, Sayles H, Mikuls TR, Johnson DS, Michaud K. Validation of the rheumatic disease comorbidity index. Arthritis Care Res (Hoboken). 2015;67:865–72. doi:10.1002/acr.22456.
  • Schmid P, Rauber D, Betsch, et al. Barriers of influenza vaccination intention and behavior – a systematic review of influenza vaccine hesitancy, 2005 – 2016. PLoS One. 2017 . doi:10.1371/journal.pone.0170550.
  • Lazarus JV, Wyka K, Rauh L, Rabin K, Ratzan S, Gostin LO, Larson HJ, El-Mohandes A. Hesitant or not? The association of age, gender, and education with potential acceptance of a COVID-19 vaccine: a country-level analysis. J Health Commun. 2020;25:799–807. doi:10.1080/10810730.2020.1868630.
  • Dubé E, Laberge C, Guay M, et al. Vaccine hesitancy: an overview. Human Vacc Immunother. 2013;9(8):1763–73. doi:10.4161/hv.24657.
  • Lin C, Tu P, Beitsch LM. Confidence and receptivity for COVID-19 vaccines: a rapid systematic review. Vaccines (Basel). 2020 ;9:16. doi:10.3390/vaccines9010016.
  • Vieira Rezende RP, Braz AS, Guimarães MFB, Ribeiro SLE, Abreu Vieira RMR, Bica BE, Cruz VA, Libardi Lira Machado KL, Carvalho JS, Monticielo OA, et al. Characteristics associated with COVID-19 vaccine hesitancy: a nationwide survey of 1000 patients with immune-mediated inflammatory diseases. Vaccine. 2021;39:6454–59. doi:10.1016/j.vaccine.2021.09.057.
  • Felten R, Dubois M, Ugarte-Gil MF, et al. Cluster analysis reveals 3 main patterns of behavior towards SARS-CoV-2 vaccination in patients with autoimmune and inflammatory diseases. Rheumatology (Oxford). 2021;keab432. doi:10.1093/rheumatology/keab432.
  • Sallam M. COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates. Vaccines. 2021;9:160. doi:10.3390/vaccines9020160.
  • Argote Tironi P, Barham E, Zuckerman Daly S, Gerez JE, Marshall J, Pocasangre O. Messages that increase COVID-19 vaccine acceptance: evidence from online experiments in six Latin American countries. PLoS One. 2021;16(10):e0259059. doi:https://doi.org/10.1371/journal.pone.0259059.
  • Carnalla M, Basto-Abreu A, Stern D, et al. Acceptance, refusal and hesitancy of Covid-19 vaccination in Mexico: Ensanut 2020 Covid-19. Salud Publica Mex [Internet]. 2021 [citado 23 de noviembre de 2021]. Disponible en;63(5):598–606.
  • Cascini F, Pantovic A, Al-Ajlouni Y, Failla G, Ricciardi W. Attitudes, acceptance and hesitancy among the general population worldwide to receive the COVID-19 vaccines and their contributing factors: a systematic review. EClinicalMedicine. 2021;40:101113. doi:10.1016/j.eclinm.2021.101113.
  • Fadda M, Albanese E, Suggs LS. When a COVID-19 vaccine is ready, will we all be ready for it? Int J Public Health. 2020;65:711–12. doi:10.1007/s00038-020-01404-4.
  • Healy CM, Pickering LK. How to communicate with vaccine-hesitant parents. Pediatrics. 2011;127(Suppl 1):S127–33. PMID:21502238. doi:10.1542/peds.2010-1722S.
  • Larson HJ, Clarke RM, Jarrett C, Eckersberger E, Levine Z, Schulz WS, Paterson P. Measuring trust in vaccination: a systematic review. Hum Vaccin Immunother. 2018;14:1599–609. doi:10.1080/21645515.2018.1459252.
  • Al-Amer R, Maneze D, Everett B, et al. COVID-19 vaccination intention in the first year of the pandemic: a systematic review. J Clin Nurs. 00:1–25. doi:10.1111/jocn.15951.
  • Gianfrancesco M, Hyrich KL, Al-Adely S, Carmona L, Danila MI, Gossec L, Izadi Z, Jacobsohn L, Katz P, Lawson-Tovey S, et al. Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: data from the COVID-19 Global Rheumatology Alliance physician-reported registry. Ann Rheum Dis. 2020;79:859–66. doi:10.1136/annrheumdis-2020-217871.
  • Bish A, Yardley L, Nicoll A, Michie S. Factors associated with uptake of vaccination against pandemic influenza: a systematic review. Vaccine. 2011;29:6472–84. PMID:21756960. doi:http://dx.doi.org/10.1016/j.vaccine.2011.06.107.
  • Quadri-Sheriff M, Hendrix KS, Downs SM, Sturm LA, Zimet GD, Finnell SME. The role of herd immunity in parents’ decision to vaccinate children: a systematic review. Pediatrics. 2012;130:522–30. PMID:22926181. doi:http://dx.doi.org/10.1542/peds.2012-0140.
  • Graham J, Haidt J, Koleva S, et al. Moral foundations theory: the pragmatic validity of moral pluralism. Adv Exp Soc Psychol. 47:55–130. doi:10.1016/B978-0-12-407236-7.00002-4.
  • Graham J, Meindl P, Beall E, Johnson KM, Zhang L. Cultural differences in moral judgment and behavior, across and within societies. Curr Opinion Psychol. 8:125–30. doi:10.1016/j.copsyc.2015.09.007.
  • Haidt J, Joseph C. Intuitive ethics: How innately prepared intuitions generate culturally variable virtues. Daedalus. 2004;133(4):55–66. doi:10.1162/0011526042365555.
  • Leone L, Giacomantonio M, Lauriola M. Moral foundations, worldviews, moral absolutism and belief in conspiracy theories. Int J Psychol. 2017;54:197–204. doi:10.1002/ijop.12459.
  • Chan EY. Moral foundations underlying behavioral compliance during the COVID-19 pandemic. Pers Individ Dif. 2021;171:110463. doi:10.1016/j.paid.2020.110463.
  • Biasio LR. Vaccine hesitancy and health literacy. Hum Vaccin Immunother. 2017;13:701–02. doi:10.1080/21645515.2016.1243633.
  • Dalstra JA, Kunst AE, Borrell C, Breeze E, Cambois E, Costa G, Geurts J, Lahelma E, Van Oyen H, Rasmussen NK, et al. Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int J Epidemiol. 2005;34:316e26. doi:10.1093/ije/dyh386.
  • Vilen L, Baldassari AR, Callahan LF. Socioeconomic burden of pain in rheumatic disease. Clin Exp Rheumatol. 2017 ;35(Suppl 107):26–31. Epub 2017 Sep 29. PMID: 28967363.
  • Luna F. Elucidating the Concept of Vulnerability: Layers Not Labels. Int J Fem Approaches Bioeth. 2009; 2(1):121–39. JSTOR.
  • Yaqub O, Castle-Clarke S, Sevdalis N, et al. Attitudes to vaccination: a critical review. Soc Sci Med. 2014;112:1–11. doi:10.1016/j.socscimed.2014.04.018.
  • Szilagyi PG, Thomas K, Shah MD, Vizueta N, Cui Y, Vangala S, Kapteyn A. National Trends in the US Public’s Likelihood of Getting a COVID-19 Vaccine—April 1 to December 8, 2020. Jama. 2020;325:396–98. doi:10.1001/jama.2020.26419.