Literature DB >> 30233151

Media representation of vaccine side effects and its impact on utilization of vaccination services in Vietnam.

Bach Xuan Tran1,2,3, Victoria L Boggiano4, Long Hoang Nguyen5, Carl A Latkin2, Huong Lan Thi Nguyen6, Tung Thanh Tran6, Huong Thi Le1, Thuc Thi Minh Vu7, Cyrus Sh Ho8, Roger Cm Ho9.   

Abstract

BACKGROUND: Media representation of vaccine side effects impacts the success of immunization programs globally. Exposure to the media can cause individuals to feel hesitant toward, or even refuse, vaccines. This study aimed to explore the impact of the media on beliefs and behaviors regarding vaccines and vaccine side effects in an urban clinic in Vietnam.
METHODS: A cross-sectional study was conducted in an urban vaccination clinic in Hanoi, Vietnam from November 2015 to March 2016. The primary outcomes of this study were the decisions of Vietnamese subjects after hearing about adverse effects of immunizations (AEFIs) in the media. Socio-demographic characteristics as well as beliefs regarding vaccination were also investigated. Multivariate logistic regression was used to identify factors associated with subjects' behaviors regarding vaccines.
RESULTS: Among 429 subjects, 68.2% of them said they would be hesitant about receiving vaccines after hearing about AEFIs, while 12.4% of subjects said they would refuse vaccines altogether after hearing about AEFIs. Wealthy individuals (OR=0.41; 95% CI=0.19-0.88), and those who displayed trust in government-distributed vaccines (OR=0.20; 95% CI=0.06-0.72) were less likely to display hesitancy regarding vaccination. Receiving information from community health workers (OR=0.44; 95% CI=0.20-0.99) and their relatives, colleagues, and friends (OR=0.47; 95% CI=0.25-0.88) was negatively associated with vaccine hesitancy, but facilitated vaccine refusal after reading about AEFIs in the media (OR=3.12; 95% CI=1.10-8.90 and OR=3.75; 95% CI=1.56-9.02, respectively).
CONCLUSION: Our results reveal a significantly high rate of vaccine hesitancy and refusal among subjects living in an urban setting in Vietnam, after hearing about AEFIs in the media. Vietnam needs to develop accurate information systems in the media about immunizations, to foster increased trust between individuals, health care professionals, and the Vietnamese government.

Entities:  

Keywords:  Vietnam; health literacy; mass media; media; vaccination

Year:  2018        PMID: 30233151      PMCID: PMC6134944          DOI: 10.2147/PPA.S171362

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


Introduction

Vaccines are widely accepted as one of the most important medical achievements of modern civilization. Researchers in many countries have emphasized the cost-effectiveness of vaccination in preventing diseases, especially in developing countries.1–3 Annually, immunizations prevent about 2–3 million deaths worldwide.4 To ensure its protective benefits, vaccine coverage has to reach between 80% to 100% of a given population, depending on the vaccine and the disease that it is preventing.5 Because of the effects of herd immunity, individuals choosing not to vaccinate themselves or their children are unlikely to become infected by a particular disease if they are living in environments where the majority of individuals have been fully vaccinated against it. Conversely, individuals who do receive immunizations remain at risk of acquiring a disease in regions where there has not been sufficient vaccine coverage.6 Consequently, there is a higher mortality rate from infections in those areas where vaccine uptake is low, as opposed to what is seen in areas where large segments of the population adhere to recommended vaccine schedules.7 Nevertheless, public confidence in vaccines is increasingly lost. There has been an increasing number of people beginning to question the safety of vaccines, altering recommended vaccination schedules, or even refusing vaccines altogether.8–10 The term “vaccine-hesitant individuals” has been used to refer people who ignore some vaccines but accept other vaccines, or those who obtain immunizations on an altered/delayed schedule. Vaccine-hesitant individuals do not completely accept nor completely refuse vaccines.10 Larson et al9 found that socio-economic status, the information relayed in the media, attitudes and motivations regarding health protection, and knowledge and awareness of the need for vaccines were each associated with vaccine hesitancy. The media has contributed significantly to the widespread public distrust of vaccines in many countries worldwide, and Vietnam is no exception.11 In Vietnam, as with other countries globally, individuals receive their news through newspapers, television, and, in recent years, the Internet and social media. Indeed, dissemination of negative information about immunizations has been increased by the advancement of websites such as Facebook and Twitter.11–13 Research worldwide demonstrates that media exposure might facilitate behavior change,14,15 such as increasing the odds of parents bringing their children in for vaccines.16,17 However, the media can also be used by anti-vaccination groups to drive people to oppose vaccines, by raising skepticism about the scientific evidence regarding the risks and benefits of vaccines.11,18 Li et al19 found that public perception of and willingness to receive vaccines dropped dramatically in Vietnam after the media advertised potential side effects of one particular vaccine, described in more detail below. In China, many people lost confidence in the hepatitis B vaccine after media coverage of possible adverse side effects related to the vaccine.20 Capanna et al21 investigated the negative effects of mass media on influenza vaccine coverage in Italy and discovered a 6% to 18% decline in vaccine coverage as a result of media events taking place in 2013–2014. Evidence in Taiwan and Canada also supported the argument that hearing negative stories in the mass media was a possible barrier to individuals receiving vaccinations.22,23 The Vietnamese Government has been implementing a national vaccination program called the Expanded Program on Immunization (EPI) since 1981. To date, among eleven vaccines used in the EPI, ten vaccines can be manufactured in Vietnam. All children under the age of 6 are eligible to receive vaccines through EPI.24 After implementation of EPI, Vietnam has achieved many vaccine-related milestones, such as becoming polio-free in 2000 and eliminating maternal and neonatal tetanus in 2005.25,26 A recent estimate by the World Health Organization indicated that 96% of the population is covered by the diphtheria-tetanus-pertussis vaccine; and that 99% of the population received the first measles vaccine, with 95% of the population receiving the second dose.27 However, these successes have been threatened by the media’s reporting of Adverse Events Following Immunization (AEFIs),19 which refers to “any untoward medical occurrence which follows immunization and which does not necessarily have a causal relationship with the usage of the vaccines”.28 In 2007, many Vietnamese newspapers highly criticized some AEFIs of the hepatitis B vaccine that happened in several vaccination clinics nationwide, including one infant suffering allergy reactions and three fatal cases within a few hours after the vaccination in the period of more than ten days.29 This issue contributed to a significant decline in hepatitis B vaccination coverage in Vietnam, from 64.3% to 26.9% over the next few years.19 Another example is the Quinvaxem vaccine – a pentavalent vaccine (diphtheria, tetanus, whooping cough, hepatitis B, haemophilus influenza type B),30 which was delivered freely via the EPI in Vietnam with financial assistance from the Global Alliance for Vaccines and Immunization (GAVI). In 2013, a few AEFIs were reported after infants received the Quinvaxem vaccine, raising considerable public concern about the vaccine’s safety. Specifically, concerns were raised about both fatal and non-fatal reactions to the vaccine, ranging from allergies, seizures, and reduced muscle tone to the death of young infants shortly after receiving the vaccine.31 Controversies between the benefits and drawbacks of Quinvaxem were triggered in many print and internet-based Vietnamese newspapers, and there were also several discussions about the safety of the vaccine on social network sites (eg, Facebook). The Vietnamese Ministry of Health hired the World Health Organization to investigate these AEFIs. The WHO confirmed that although some of the allergic and other non-fatal AEFIs might have been linked to vaccine reactions, the reasons for the fatal AEFIs and many of the non-fatal AEFIs were not related to Quinvaxem and were purely coincidental.31 Despite this news, public trust was lost, and parents decided not to allow their children to receive Quinvaxem. Parents instead chose to wait for Pentaxim (Sanofi Pasteur, Lyon, France) – another pentavalent vaccine that was manufactured in France.32 However, a shortage of the latter vaccine led to the reductions of coverage of immunizations in Vietnamese infants from 99% to 83% for diphtheria-tetanus-whooping cough, and from 76% to 56% for hepatitis B birth dose between 2012 and 2013.27 Li et al19 used mathematical models to project that because of this decline in vaccination coverage, more than 90,000 infections with hepatitis B and approximately 17,500 deaths might occur. The media has a large impact on Vietnamese citizens’ beliefs regarding vaccines. However, to date, there has been little research published regarding the ways that people’s perceptions of vaccines change as a result of the media in Vietnam. The purpose of this study was to explore the impact of the media on people’s beliefs and behaviors regarding vaccines and vaccine side effects in an urban clinic in Vietnam.

Materials and methods

Ethical approval

Study documents were approved by the institutional review board of the Hanoi Medical University. Subjects were introduced to the purpose of this study and asked to give written informed consent if they agreed to participate. Participants could withdraw at any time. Their information remained confidential.

Study setting and sampling method

A cross-sectional study was conducted from November 2015 to March 2016 in an urban vaccination clinic located in the center of Hanoi, the capital city of Vietnam. This clinic is a typical vaccination clinic in urban Vietnam, functioning as a standalone site affiliated with a medical institution (Hanoi Medical University Hospital) and providing walk-in services for people living in the city. The primary subjects at this clinic are parents and their children. In addition, vaccines for the adult population were also available such as human papilloma-virus (HPV) or vaccines for pregnancies. The clinic does more than 25,000 vaccinations per year. This clinic provides vaccines to patients using both the EPI model (free-of-charge) and a for-profit model (where subjects have to pay for vaccines). Therefore, the clinic serves subjects with different income backgrounds. For this study, we chose to look at individuals with children of a variety of age ranges rather than focusing solely on parents with young children, because children in Vietnam receive vaccinations up to the age of 15.24 People were recruited if they met the following eligibility criteria: 1) currently using services in the clinic for themselves and/or their children; 2) 18 years old; 3) able and willing to participate in this study, verified with written informed consent; and 4) able to answer a questionnaire in 15–20 minutes. All eligible subjects were invited to enroll in the study, and asked to give their written informed consent if they agreed to participate. We invited them to a private room of the clinic to ensure confidentiality and to create a safe and comfortable atmosphere for the interview. We calculated our study’s sample size using the World Health Organization’s formula for estimating a proportion with specified relative precision.33 We expected that the rate of subject refusal of vaccines after hearing about AEFIs would be 30% (based on a previous study conducted in China20), with a 95% confidence level and a margin of error of 0.15. This resulted in a minimum sample size of 399 subjects. An extra 10% was added to our sample size to prevent incomplete data, leading to a sample size of 439. Because we could not access the list of subjects attending the clinic for services due to the confidentiality, a convenience sampling approach was applied in this study to recruit the participants. After finishing the data collection phase, 439 subjects were recruited but only data of 429 subjects were included in the final analysis. Ten subjects had to be excluded because they completed less than 50% of the questionnaire. There were no statistically significant differences in socio-demographic characteristics between participants that were included and excluded from the study.

Measurements and instruments

Face-to-face interviews were performed by the data collection team, including undergraduate and post-graduate students in the Public Health field at the Hanoi Medical University. These interviewers were trained carefully by principal investigators about how to use the questionnaire and how to collect the data effectively. They also did a pilot study with 20 subjects first. Thus, they used a consistent approach for how they asked participants the questions in the survey. Our data collection team approached the subjects, asked them questions in the questionnaire, and wrote down the answers in the form of questionnaire. Each subject spent 15–20 minutes answering all questions in the questionnaire. We did not involve health professionals at the clinic in this study in order to prevent any social desirability bias, which might happen when subjects only participate in studies in order to satisfy their health care providers. A structured questionnaire was developed and used to collect the data from participants (Figure S1). In the questionnaire, we first asked subjects to report their demographic characteristics (age, gender, educational attainment, marital status, current occupation, monthly household income and whether they had children under 6 years old). Monthly household income was then divided into five quintiles, from “poorest” to “richest.” Next, we asked participants a series of questions about the belief of vaccines and reactions with the AEFIs in the media. These questions were developed based on the contextualized factors that we collected from a rapid assessment rather than using an international measure. Subjects’ beliefs regarding EPI and for-profit vaccines were explored using Likert-scales, with five levels ranging from “Very bad, no trust” to “Very good, high trust.” Subjects were also asked about their preferences for the vaccine’s origins (from Vietnam or from foreign countries). In this study, we used the term “EPI vaccines” to refer to the vaccines that belonged to the EPI program (provided freely); and “for-profit vaccines” to refer to the vaccines that were from foreign sources, not from the EPI program and that subjects had to pay for. Primary outcomes of this study included the behaviors and decisions of subjects after hearing about AEFIs in the Vietnamese media. First, we asked them to recall any AEFIs that they heard or read about in the media. Then, we asked the question “What is your decision regarding vaccination of yourself and/or your child after hearing about adverse events following immunization in the media?” with five answers which included: 1) “Refuse vaccination,” 2) “No injecting EPI vaccines; use for-profit vaccines instead,” 3) “Finding for-profit vaccines; otherwise, use EPI vaccines,” 4) “Do nothing” (eg, continue vaccination as planned), and 5) “Others” (eg, going abroad for vaccination). People who answered (b) or (c) were placed in the “vaccine hesitancy” group. In this study, we also asked subjects to report the following information: whether they were concerned about information regarding vaccine complications in media, where they got their sources of information about vaccines, what they believed to be the most trusted sources of information about vaccines, whether they were worried after hearing about AEFIs in the media, sources for finding more information about AEFIs, and individual(s) who made decisions regarding vaccines in their family.

Statistical analysis

We used STATA software version 12.0 (Stata Corp. LP, College Station, TX, USA) to analyze the data. A P-value of less than 0.05 was considered statistically significant. Chi-squared, Student’s t-test, and Mann–Whitney tests were employed to compare the differences of the variables of interest between subjects who were parents bringing their children to receive vaccinations, and adult subjects who were being vaccinated themselves. Multivariate logistic regression models were used to identify factors associated with subjects’ behaviors, comprising “concern about information regarding vaccine complications in media,” “vaccine hesitancy”, and “vaccine refusal” after hearing about AEFIs in the media. Forward stepwise strategies were employed to produce the final reduced models. A threshold P-value of less than 0.2 was used to include the variables into the final models. This threshold was selected to avoid the exclusion of variables that might be meaningful for the interpretation of the model. Multicollinearity was tested using variance inflation factors (VIFs). In the logistic regression, a VIFs value of 2.5 was recommended to be used as a threshold to detect multicollinearity.34

Results

Table 1 highlights the demographic characteristics of the participants in our study. Among the 429 subjects that participated, the mean age was 26.8 years old (SD=6.2). Most of them visited the clinic to have vaccinations themselves (62.7%). The majority of respondents were female (73.5%), attained more than high school education (63.2%), and were not married (50.6%). About 43.3% and 37.8% of subjects were white-collar workers and students, respectively. Only 33.6% had children under 6 years old. The average monthly income was 15.9 million VND (SD=32.2).
Table 1

Characteristics of respondents

CharacteristicsSubjects for vaccination
Total
P-value
Children
Adult
N%N%N%
Total16037.326962.7429100.0
Gender<0.01
 Male2113.19234.511326.5
 Female13986.917565.531473.5
Education<0.01
 Less than secondary school127.531.1153.5
 High school127.513048.714233.3
 Greater than high school13685.013450.227063.2
Marital status<0.01
 Single159.420175.321650.6
 Living with spouse/partner14590.66624.721149.4
Employment<0.01
 Unemployed53.231.181.9
 Freelancer2616.7207.54610.9
 White collar worker10466.77929.618343.3
 Student85.115256.916037.8
 Others138.3134.9266.2
Child-bearing<0.01
 No children2012.523888.525860.1
 Have children 6 years old or less13081.3145.214433.6
 Only have children older than 6 years old106.3176.3276.3

MeanSDMeanSDMeanSD

Age30.75.724.75.526.86.2<0.01
Monthly household income (in millions VND)20.852.813.411.415.932.2<0.01
Table 2 reveals that 50.7% and 86.5% of respondents believed that EPI vaccines and for-profit vaccines were good or very good and could be trusted, respectively. Participants were more likely to trust foreign vaccines (91.0%) than domestic vaccines (29.2%).
Table 2

Attitudes about vaccination services

CharacteristicsSubjects for vaccination
Total
P-value
Children
Adult
N%N%N%
Belief on EPI vaccines<0.01
 Very bad; not trust42.651.992.1
 Not good; low trust2415.4124.5368.5
 Neutral; medium trust6944.29535.416438.7
 Good; highly trust5233.313550.418744.1
 Very good; really trust74.5217.8286.6
Belief on for-profit vaccines0.04
 Very bad; not trust00.062.261.4
 Not good; low trust10.651.961.4
 Neutral; medium trust106.43513.14510.6
 Good; highly trust12076.919070.931073.1
 Very good; really trust2516.03211.95713.4
Preference for vaccine origins
 From Vietnam3422.18933.212329.20.02
 From foreign countries14996.823587.738491.0<0.01

Abbreviation: EPI, Expanded Program on Immunization.

Table 3 reveals that most subjects were concerned about vaccine complications reported in the media (90.6%). This concern was higher among parents bringing their children to obtain vaccines than those receiving vaccines themselves (P<0.05). Although most respondents sought information about immunizations via the media (72.4%), staff at hospitals with vaccination clinics were perceived to be the most trustworthy source (38.0%). The results show that most respondents began to worry more about receiving vaccines after hearing about AEFIs in the media (59.6%). Participants also used the media to find additional information about AEFIs (68.9%). A total of 68.2% of subjects hesitated to receive vaccines after hearing about AEFIs in the media, and 12.4% subjects would refuse vaccination.
Table 3

Beliefs about and uptake of vaccines after being exposed to mass mediaa campaigns about vaccine side effects

CharacteristicsSubjects for vaccination
Total
P-value
Children
Adult
N%N%N%
Concern about information regarding vaccine complications in the media15297.423286.638490.6<0.01
Sources of vaccine information
 Community health workers3523.22610.16115.0<0.01
 Staff in hospital having vaccination clinic6240.810942.317141.70.77
 Media (Internet/news/television/etc)12280.317967.830172.40.01
 National guideline2717.73011.75713.90.09
 Relatives/friends/colleagues4227.311142.515336.9<0.01
 Others53.2103.8153.60.77
Most trusted sources of vaccine information<0.01
 Community health workers2113.693.4307.1
 Staff in hospitals with vaccination clinics4931.611141.716038.0
 Media (Internet/news/television/etc)5736.86624.812329.2
 National guidelines95.8134.9225.2
 Relatives/friends/colleagues1811.65621.17417.6
 Others10.65114.1122.9
Level of worry after hearing AEFIs on the media<0.01
 Really worried13083.312245.725259.6
 Neutral2113.511844.213932.9
 Not worried53.22710.1327.6
Sources for finding more information about AEFIs
 Mass media10373.112765.823068.90.16
 Family/relatives3927.93518.67422.60.05
 Doctor5438.37841.113239.90.61
 Friends, colleagues96.4115.9206.10.83
 Do nothing1711.07428.49121.9<0.01
Decisions after knowing these AEFIs via media<0.01
 Vaccine refusal107.33116.24112.4
 Vaccine hesitancy (select for-profit vaccines instead of EPI vaccines and vice versa)11281.211358.922568.2
 Do nothing1611.64825.06419.4
Individual(s) who make decisions regarding vaccination in the family<0.01
 Self4935.315376.720261.0
 Spouse4431.7126.35616.9
 Parents139.473.7206.0
 All members of family3323.72010.45316.0

Note:

Mass media: newspapers, television, Internet and social media, etc.

Abbreviations: AEFIs, adverse events following immunization; EPI, Expanded Program on Immunization.

Table 4 shows the results of multivariate logistic regression models. VIFs of all variables included in the three models were under 2.5. People were more likely to be concerned about AEFIs in the media if they received more than a high school education (OR=3.07; 95% CI=1.05–8.98); in addition, having children under 6 years old also increased subjects’ concern (OR=15.14; 95% CI=4.34–52.78). Wealthy subjects and those who placed significant trust in for-profit vaccines were less likely to be concerned about AEFIs reported in the media. In addition, people who trusted EPI vaccines were less likely to display vaccine hesitancy. Interestingly, receiving information from community health workers and their relatives, colleagues, and friends had opposing effects when it came to vaccine hesitancy and refusal. Receiving information from these sources was negatively associated with vaccine hesitancy, but positively associated with vaccine refusal.
Table 4

Factors associated with concern about vaccination information in the media and uptake of vaccination services among subjects

FactorsConcern about vaccination complications reported in the media
Vaccine hesitancy after hearing about AEFIs in the media
Vaccine refusal after hearing about AEFIs in the media
OR95% CIOR95% CIOR95% CI
Subject receiving vaccine (adult vs children)0.27a0.13; 0.54
Age1.14c0.99; 1.31
Gender (male vs female)0.57c0.30; 1.072.35c0.95; 5.81
Education attainment (vs <high school)
 >High school3.07b1.05; 8.98
Occupation (vs unemployed)
 Self-employed2.93c0.89; 9.68
 White-collar worker5.74a2.12; 15.51
 Student10.40a2.66; 40.67
Income quintile (vs poorest)
 Poor0.440.15; 1.31
 Middle2.77c0.94; 8.130.28c0.07; 1.04
 Rich0.41b0.19; 0.881.740.63; 4.86
 Richest0.41b0.17; 0.99
Having children under 6 years old (vs no children)
 Having children under 6 years old15.14a4.34; 52.780.10a0.03; 0.33
 Only having children older than 6 years old3.220.50; 20.62
Belief in for-profit vaccines (vs no trust)
 Neutral2.510.72; 8.74
 High trust0.27a0.11; 0.662.000.77; 5.19
Trust in EPI vaccines (vs no trust)
 High trust0.20b0.06; 0.722.950.76; 11.52
Preference for vaccine origins
 Prefer Vietnamese vaccines (yes vs no)0.600.30; 1.230.33a0.17; 0.61
 Prefer Foreign vaccines (yes vs no)0.25b0.07; 0.85
Sources of vaccine information
 Community health workers (yes vs no)0.430.16; 1.180.44b0.20; 0.993.12b1.10; 8.90
 Media (yes vs no)2.01c0.96; 4.19
 National guideline (yes vs no)4.27b1.03; 17.72
 Relatives/friends/colleagues (yes vs no)0.47b0.25; 0.883.75a1.56; 9.02
Most trusted sources of vaccine information (vs community health workers)
 Staff in hospitals with vaccination clinics2.52b1.22; 5.19
 Media0.540.26; 1.13

Note:

P<0.01,

P<0.05,

P<0.1.

Abbreviations: AEFIs, adverse events following immunization; EPI, Expanded Program on Immunization.

Discussion

Our study, one of the first of its kind to investigate media influence on perceptions of vaccines among adults in Vietnam, demonstrates that the media does in fact have a large impact on individuals’ willingness to vaccinate themselves and their children. Nearly three quarters (68.2%) of the subjects interviewed for this study stated that they feel hesitant about vaccines because they have heard about adverse side effects in the media. Vaccine hesitancy rates in our study were much higher than rates described in a previous study in China, which found that after media reports, 30% of parents displayed hesitancy in regard to administering the hepatitis B vaccine to their children.20 We also found that trust and the credibility of the source of information had major roles in driving subjects’ behaviors regarding vaccines after hearing about AEFIs in the media. In the literature, trust has been highlighted as an important factor for cultivating desire to receive vaccines;35 in other words, insufficient trust leads people to demand more clarification and assurance about the protective benefits of vaccines for their health.36 After national EPI vaccine crises in Vietnam, such as the Quinvaxem incident described in the introduction, it is not surprising that people displayed less trust of government-distributed vaccines and more trust in vaccines made by for-profit companies. Zijtregtop et al37 found that in the Netherlands, the people who displayed less trust of government vaccines were not only more hesitant to accept the vaccines, but also refused vaccination. In addition, we found that subjects preferring to receive vaccine information from health workers at primary health care levels were more likely to refuse vaccines. These unusual findings may also relate to trust. In Vietnam, people generally perceive the quality of commune-level health workers to be limited,38 which may have led the people in our study to have reduced trust in the information that these health workers provided in regard to vaccines. Yaqub et al36 argued that building trust between health professionals and patients in regard to immunizations might be met with several obstacles such as insufficient time for providers to speak with patients and workers’ lack of knowledge about vaccines. These factors may have made the subjects in our study less likely to believe community health workers who informed them about the safety and benefits regarding vaccines. Therefore, they may choose vaccine refusal rather than hesitancy. More effort should be spent in educating health workers on both the vaccines themselves and how to transmit information about the vaccines effectively to patients and families. Similarly, our results indicate that people receiving information from friends, relatives or colleagues were more likely to refuse vaccines. The influence of friends, relatives, or colleagues might appear not only during in-person conversations but also via the Internet and social media. Notably, our study emphasized the indispensable role of the media (including Internet, television, radio, etc) as a primary source of vaccination information for our participants, which is consistent with previous studies in Vietnam and other countries.39–41 Some subjects reported to us that they read stories from friends or colleagues about their own experiences with the vaccines on social media sites (eg, Facebook), which might be generalized on larger scale. McMurray42 pointed out that some people preferred to follow friends’ instructions instead of mainstream evidence from governmental or other authorities, which led some people to develop negative attitudes toward health care. Several implications can be drawn from this study. First, the quality of vaccination distribution services should be improved at the community level, to enhance subjects’ trust in both the vaccines themselves and the overall EPI program in Vietnam. This might reduce the influence of information from unofficial media sources on individuals’ willingness to receive vaccines. Second, educational campaigns should be created by the government and/or local health workers to sustain people’s awareness of the importance of vaccines to sustain health, as well as their confidence in vaccine production and distribution through the EPI program. These campaigns could be targeted first and foremost to parents, as much of the EPI program focuses on vaccination of children under 6 years old;24 they could include information about the safety of vaccines, the importance of immunization for community health; and the ease with which vaccines can be obtained at local health centers,43 among other information. Finally, collaboration with the news media might be warranted to discuss coverage of AEFIs and vaccines in general. The Vietnamese government could also consider implementing new media strategies such as text message or YouTube campaigns to increase national confidence in the EPI program.44 Doing so might also influence people’s perceptions of other media coverage of AEFIs and their willingness to obtain vaccines for themselves and their children. In general, the influential power of the media can be used in future interventions to encourage vaccinations and support consolidation of both immunizations and information campaigns across Vietnam. Some limitations of this study should be noted. Because of the cross-sectional design that we employed, we could not establish a causal relationship between media exposure and attitudes toward vaccines. In addition, our convenience sampling method might limit the generalizability of our results to the larger population. However, in health service research, in some cases, good sample frames may not be easy to identify; hence, the selection of clinics purposively and respondents conveniently are accepted and dependent on the health problem to be studied in its specific context. Further studies with larger sample sizes in multiple sites across Vietnam should be conducted in order to confirm our argument in this study in a large scale. Second, our measure was based on a rapid assessment instead of an international measure. This approach could reflect rapidly how large the advert events of vaccination impact consumers’ choices via media. Third, we did not collect data about whether the respondents wanted to have children in the future or not, which might be an important variable for the attitude regarding vaccination. Moreover, perception and reactions of our participants for different specific vaccines were not obtained in this study. Thus, further studies should be elucidated to fill these gaps of knowledge. Finally, more subjects who are parents should also be recruited to examine clearly the impact of the media on the vaccination uptake for Vietnamese children.

Conclusions

These results highlight a significantly high rate of vaccine hesitancy and refusal among subjects living in an urban setting in northern Vietnam, after hearing about AEFIs in the media. These findings reveal the need for development of accurate information systems in the media about immunizations, as well as the development of trust between subjects and health care professionals, as well as the Vietnamese government. Questionnaire used for data collection for this research.
  31 in total

1.  Hospitalizations during a measles epidemic in the Netherlands, 1999 to 2000.

Authors:  Susan Van Den Hof; Colette Smit; Jim E Van Steenbergen; Hester E De Melker
Journal:  Pediatr Infect Dis J       Date:  2002-12       Impact factor: 2.129

Review 2.  Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007-2012.

Authors:  Heidi J Larson; Caitlin Jarrett; Elisabeth Eckersberger; David M D Smith; Pauline Paterson
Journal:  Vaccine       Date:  2014-03-02       Impact factor: 3.641

3.  Emerging and continuing trends in vaccine opposition website content.

Authors:  Sandra J Bean
Journal:  Vaccine       Date:  2011-01-14       Impact factor: 3.641

Review 4.  Strategies for addressing vaccine hesitancy - A systematic review.

Authors:  Caitlin Jarrett; Rose Wilson; Maureen O'Leary; Elisabeth Eckersberger; Heidi J Larson
Journal:  Vaccine       Date:  2015-04-18       Impact factor: 3.641

Review 5.  Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.

Authors:  Thomas L Webb; Judith Joseph; Lucy Yardley; Susan Michie
Journal:  J Med Internet Res       Date:  2010-02-17       Impact factor: 5.428

6.  Attitudes of mothers in Da Nang, Vietnam toward a human papillomavirus vaccine.

Authors:  Tri A Dinh; Susan L Rosenthal; Ellis D Doan; Tony Trang; Viet H Pham; Benson D Tran; Vinh D Tran; G A Bao Phan; H K H Chu; Carmen Radecki Breitkopf
Journal:  J Adolesc Health       Date:  2007-04-12       Impact factor: 5.012

7.  Cost-Effectiveness of Rotavirus Vaccination for Under-Five Children in Iran.

Authors:  Sareh Shakerian; Maziar Moradi Lakeh; Abdoulreza Esteghamati; Mohsen Zahraei; Mohsen Yaghoubi
Journal:  Iran J Pediatr       Date:  2015-08-24       Impact factor: 0.364

8.  Effect of mass media on influenza vaccine coverage in the season 2014/2015: a regional survey in Lazio, Italy.

Authors:  A Capanna; G Gervasi; M Ciabattini; E Volpe; A Spadea; S Sgricia; L Zaratti; E Franco
Journal:  J Prev Med Hyg       Date:  2015-08-05

9.  Impact of Adverse Events Following Immunization in Viet Nam in 2013 on chronic hepatitis B infection.

Authors:  Xi Li; Eric Wiesen; Sergey Diorditsa; Kohei Toda; Thi Hong Duong; Lien Huong Nguyen; Van Cuong Nguyen; Tran Hien Nguyen
Journal:  Vaccine       Date:  2015-06-06       Impact factor: 3.641

Review 10.  Effectiveness of interventions that apply new media to improve vaccine uptake and vaccine coverage.

Authors:  Anna Odone; Antonio Ferrari; Francesca Spagnoli; Sara Visciarelli; Abigail Shefer; Cesira Pasquarella; Carlo Signorelli
Journal:  Hum Vaccin Immunother       Date:  2014-11-01       Impact factor: 3.452

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  13 in total

1.  Exploring the relationship between newspaper coverage of vaccines and childhood vaccination rates in Spain.

Authors:  Daniel Catalan-Matamoros; Carmen Peñafiel-Saiz
Journal:  Hum Vaccin Immunother       Date:  2020-02-04       Impact factor: 3.452

2.  Acceptance rate and risk perception towards the COVID-19 vaccine in Botswana.

Authors:  Lebapotswe B Tlale; Lesego Gabaitiri; Lorato K Totolo; Gomolemo Smith; Orapeleng Puswane-Katse; Eunice Ramonna; Basego Mothowaeng; John Tlhakanelo; Tiny Masupe; Goabaone Rankgoane-Pono; John Irige; Faith Mafa; Samuel Kolane
Journal:  PLoS One       Date:  2022-02-04       Impact factor: 3.240

3.  A systematic literature review to clarify the concept of vaccine hesitancy.

Authors:  Daphne Bussink-Voorend; Jeannine L A Hautvast; Lisa Vandeberg; Olga Visser; Marlies E J L Hulscher
Journal:  Nat Hum Behav       Date:  2022-08-22

4.  Attitudes toward COVID-19 vaccination and willingness to pay: comparison of people with and without mental disorders in China.

Authors:  Fengyi Hao; Bokun Wang; Wanqiu Tan; Syeda Fabeha Husain; Roger S McIntyre; Xiangdong Tang; Ling Zhang; Xiaofan Han; Li Jiang; Nicholas W S Chew; Benjamin Yong-Qiang Tan; Bach Tran; Zhisong Zhang; Gia Linh Vu; Giang Thu Vu; Roger Ho; Cyrus S Ho; Vijay K Sharma
Journal:  BJPsych Open       Date:  2021-08-11

5.  Knowledge, attitudes and practices of hepatitis B prevention and immunization of pregnant women and mothers in northern Vietnam.

Authors:  Thi T Hang Pham; Thuy X Le; Dong T Nguyen; Chau M Luu; Bac D Truong; Phu D Tran; Mehlika Toy; Samuel So
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

Review 6.  Adult vaccination as part of a healthy lifestyle: moving from medical intervention to health promotion.

Authors:  T Mark Doherty; Giuseppe Del Giudice; Stefania Maggi
Journal:  Ann Med       Date:  2019-04-26       Impact factor: 4.709

7.  Factors affecting vaccine hesitancy among families with children 2 years old and younger in two urban communities in Manila, Philippines.

Authors:  Julius Migriño; Billy Gayados; Karen Rachel Joyce Birol; Lorelie De Jesus; Christopher Willis Lopez; Winona Colleen Mercado; Jan-Mark Caezar Tolosa; Joeylyn Torreda; Glaze Tulagan
Journal:  Western Pac Surveill Response J       Date:  2020-06-30

8.  Knowledge, attitudes, and practices of seasonal influenza vaccination among older adults in nursing homes and daycare centers, Honduras.

Authors:  Zachary J Madewell; Rafael Chacón-Fuentes; Jorge Jara; Homer Mejía-Santos; Ida-Berenice Molina; Juan Pablo Alvis-Estrada; Raul Espinal
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

9.  A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online.

Authors:  Paola Pascual-Ferrá; Neil Alperstein; Daniel J Barnett
Journal:  Disaster Med Public Health Prep       Date:  2021-05-03       Impact factor: 1.385

10.  Priming with social benefit information of vaccination to increase acceptance of COVID-19 vaccines.

Authors:  Qiuyan Liao; Benjamin J Cowling; Jingyi Xiao; Jiehu Yuan; Meihong Dong; Michael Y Ni; Richard Fielding; Wendy Wing Tak Lam
Journal:  Vaccine       Date:  2022-01-20       Impact factor: 3.641

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