A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic
Abstract
:1. Introduction
2. Materials & Methods
2.1. Protocol
2.2. Search Strategy and Selection Criteria
2.3. Data Extraction
2.4. Risk of Bias Assessment
2.5. Patient and Public Involvement (PPI)
3. Results
3.1. Study Selection
3.2. Study Characteristics
3.3. Risk of Bias
3.4. Results of Individual Studies
3.5. Synthesis of Results
3.5.1. Evidence of Impact of Messaging on Behaviour
3.5.2. Evidence of Impact of Messaging on Behavioural Influences
Intentions or Willingness to Take up Vaccination
Beliefs and Attitudes about Vaccines and Vaccination
3.5.3. Evidence on Information Needs
3.6. Patient and Public Involvement (PPI)
4. Discussion
4.1. Summary of Evidence
4.2. Improvements to Messaging
4.3. Study Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Authors, Year | Attitudes towards the Vaccine Message | Attitudes towards Vaccination | Beliefs about Effectiveness of Vaccine | Beliefs about Capability of being Vaccinated | Intentions to be Vaccinated | Vaccination Uptake | Other | Mixed Methods Appraisal Took (MMAT)/Assessment of Multiple Systematic Reviews (AMSTAR) Score |
---|---|---|---|---|---|---|---|---|
Baskin, 2018 [22] | The only significant variable was the map condition, which increased the probability of getting vaccinated overall by 2%. | 2 | ||||||
Bushar et al., 2017 [23] | Influenza vaccination coverage for women who received text messages was 81.3% compared with 47.1% for non-text message control group | 5 | ||||||
Cameron et al., 2013 [24] | The Centre for Disease Control & Prevention (CDC) control message was more effective in increasing participant knowledge than the facts only message. Participants receiving the facts only message demonstrated lower recall accuracy than all other message formats. | 2 | ||||||
Cummings & Kong, 2019 [25] | Use of colloquial “flu shot” was more strongly associated with lower intention to vaccinate than formal “influenza vaccine.” | 3 | ||||||
Herrett et al., 2015 [26] | In the standard care arm, mean vaccine uptake across practices was 50.7% and in the intervention arm uptake was 52.4% (not significant). There was a non-significant increase in vaccine uptake among at-risk patients aged 18–64 years in the intervention group, compared to standard care | 4 | ||||||
Kim et al., 2019 [27] | Individuals exposed to both benefits and risk disclosure of the influenza vaccine tended to report lower perceived vaccine efficacy, which further significantly impacted felt ambivalence toward vaccination, and subsequently vaccination intention. | Individuals had higher vaccine intentions when only benefits of influenza vaccines were presented, excluding risk disclosure | 2 | |||||
Lee et al., 2018 [28] | Public service announcements (PSAs) pairing a gain-framed message with an image and a loss-framed message with text had positive effects on participants’ affect toward the PSAs | PSAs pairing a gain-framed message with an image and a loss-framed message with text had positive effects on participants’ attitude toward the influenza vaccine | PSAs pairing a gain-framed message with an image and a loss-framed message with text had positive effects on participants’ confidence in the influenza vaccine | PSAs that paired a gain-framed message with an image and a loss-framed message with text produced the most positive effects on participants’ vaccination intentions. | 3 | |||
Macdonald et al., 2013 [29] | Three interventions aiming to increase uptake in Healthcare workers reported evidence of effectiveness. Changes in vaccination rates of 23.7% to 37% over 2 years [57] and differences in percentage uptake between a group receiving mixed-media messages (25.0%) compared to the control (16.0%) [58] was demonstrated. Two interventions targeting older adults reported evidence of effectiveness: increase from 45.0% 5 years previously to 70% after a three-year multi-faceted campaign [59], and increase from 21.7% to 51.7% after an intervention involving printed information at primary care clinic reception desks [60]. | 9 ꝉ | ||||||
Prati et al., 2012 [30] | Narrative communication message was rated as more believable | Narrative message was related to higher perception of the efficacy of the vaccine | Narrative message was related to vaccination self-efficacy | No differences among the three conditions for vaccination intentions | Participants in the narrative communication condition reported a higher level of comprehension | 4 | ||
Regan et al., 2017 [31] | 12% of the intervention group and 9% of the control group were vaccinated. SMS reminder group were 39% more likely than the control group to receive a seasonal influenza vaccine. Shorter no. of days between the start of the study and vaccination uptake for the intervention group. Parents of high risk children were more likely to get their children vaccinated, 8.8% in the text message group compared to 3.6% in the control group | 4 | ||||||
Yu & Shen, 2013 [32] | A gains framed message with individualistic appeal was perceived as more effective in both US & Hong Kong Chinese participants | Significantly more favourable attitude towards vaccination was reported by US participants when the messages were loss-framed with collectivistic appeal | Significantly higher intentions to get a vaccination was observed in both participant groups when the message was loss-framed and collectivistic | 1 | ||||
Chai et al., 2013 [33] | H1N1 SMS group had 1.77 times greater odds of receiving the new vaccine | 3 | ||||||
Chien et al., 2011 [34] | A loss-framed message with white text on a red background was considered more reliable and prominent than the loss-framed message on a blue background. | Significantly higher willingness when a loss-framed message was presented with white text on a red background than when the message used white text on a blue background. | 2 | |||||
Driedger et al., 2013 [35] | Participants found language used to describe priority groups ‘at risk’ was discriminatory. Some felt there was a conspiracy against Native people. | 5 | ||||||
Jhummon-Mahadnac et al., 2012 [36] | 54.8% of participants believed seasonal influenza vaccine does not protect against pandemic (H1N1) influenza, 23.8% were unsure. | 14.3% had vaccination intentions. Reasons for not intending to get the vaccine included perceiving self to be at low risk (30.5%); Vaccine has side effects (19.5%); Could not be bothered (17.5%). New vaccine may not be effective next year due to viral changes (15.6%) & prepared to wait for winter (11.7%) | 22.2% of participants reportedly received the new vaccine. | 5 | ||||
Lin et al., 2014 [37] | Those who felt official authorities had openly provided the public with clear and honest information about pandemic influenza vaccination believed they were sufficiently informed and were more likely to get immunized. | 10 ꝉ | ||||||
Lynch et al., 2012 [38] | Majority of participants expressed some uncertainty about whether to get vaccinated while pregnant. 48.5% reported vaccination intentions | Unfamiliarity with antiviral medicine and terminology influenced vaccine acceptability. Some participants were concerned about potential side effects of vaccine on the fetus. | 5 | |||||
Miczo et al., 2013 [39] | The most frequently mentioned messages students remembered were: to wash hands (56.9%), self-isolation (23.5%) and getting a vaccination (22.1%). | 2 | ||||||
Nan et al., 2012 [40] | Higher perceived vaccine efficacy was associated with more favorable attitudes toward H1N1 vaccination | When perceived vaccine efficacy was low the loss-framed message was significantly more effective than the gain-framed message in improving vaccination intentions | 4 | |||||
Ou et al., 2014 [41] | Attitude to medical information was influenced by perceptions that the message was informative and the message was credible. | 0 | ||||||
Prati et al., 2011 [42] | 2.8% of respondents reported receiving the vaccine. | 3 | ||||||
Teasdale & Yardley 2011 [43] | A common perceived barrier to vaccination was safety concerns due to doubts about the testing of the vaccine during the expedited development | 4 | ||||||
Godinho et al., 2016 [52] | The shortened Department of Health (DoH) message was rated as being more personally relevant, despite being considered as slightly less credible than the longer version. Those receiving the ‘shortened risk-reducing’ message rated the message as being clearer when compared to either those receiving the ‘shortened health-enhancing’ or the shortened DoH message. | Those receiving the ‘shortened risk-reducing’ message perceived vaccination to be more beneficial compared to either those receiving the ‘shortened health-enhancing’ or the shortened DoH message | Participants in the Standard DoH message condition showed lower vaccination intentions compared with the Shortened DoH message condition. The effect of message length on intention was explained by increase in perceived susceptibility and anticipated regret, the lowering of perceived costs of vaccination, increased perceived relevance of the information and message readability. | The information presented in the shortened DoH message was better recalled when compared to the other two conditions. | 5 | |||
Han et al., 2018 [53] | The Uncertainty group demonstrated significantly lower perceived vaccine effectiveness | The Uncertainty group showed significantly lower vaccination interest than the No-Uncertainty group. As health literacy increased, the difference in vaccination interest between uncertainty groups and the No-Uncertainty group increased, demonstrating greater ambiguity aversion for higher-literate individuals and greater ambiguity tolerance for lower-literate individuals | 5 | |||||
Kononova et al., 2016 [54] | When multitasking with Facebook, individuals indicated greater intentions to follow vaccine recommendations | 4 | ||||||
Mowbray et al., 2016 [55] | Factual, evidence-based messages were found to be the most convincing and useful and were well received. Health-enhancing messages were received with scepticism. Risk-reduction messages were perceived as being more balanced and credible. | Concern about messages not being honest and about the potential lack of safety. | 4 | |||||
Fitzpatrick-Lewis et al., 2010 [56] | The relative risk format resulted in higher ratings of perceived effectiveness of vaccination than the absolute format. Baseline information about risk led to higher ratings of perceived effectiveness of vaccination. | The relative risk format resulted in higher vaccination intentions than the absolute format. Baseline information about risk led to higher ratings of likelihood of being vaccinated | 9 ꝉ | |||||
Lapka et al., 2008 [48] | Even after reading the messages, most participants still believed the influenza vaccine causes the flu. | Many participants could not describe how long it takes the vaccine to build immunity and were confused about the possibility of getting influenza during the two weeks following vaccination. | 5 | |||||
Mayweg-Paus & Jucks, 2015 [49] | Participants who had received hints about the source reported fewer positive statements about vaccination than participants receiving no hints. | 1 | ||||||
Payaprom et al., 2011 [50] | Participants in the intervention group showed a greater increase in self-efficacy from Time 1 to Time 2 than control group participants | Participants in the intervention group showed a greater increase in vaccination intentions from Time 1 to Time 2 than control group participants | Vaccination uptake did not differ between groups | Significant increases in knowledge of vaccine side effects in both Health Action Process Approach (HAPA) leaflet and standard leaflet groups between Time 1 and Time 2 | 3 | |||
Phillips et al., 2014 [51] | Vaccination rates were 49.3% in the intervention group versus 46.6% in the usual care group After adjusting for gestational age and number of clinic visits, women who received text messages were more likely to receive an influenza vaccination | 1 ꝉ | ||||||
Shenson et al., 2001 [45] | Increased uptake in vaccinations in the target county vs the non-target county. Increased uptake in the target county after messages compared to uptake in the two years prior to implementation | 2 | ||||||
Ort & Fahr, 2018 [47] | Negative influence of perceived threats on attitudes in favour of the proposed vaccination was found | Positive relationship between perceived efficacy and a more favourable vaccination attitude | Positive relationship between an attitude in favour of the vaccination and vaccination intentions | 3 | ||||
Wolf et al., 2015 [44] | Participants who viewed images of children with measles were more likely to associate autism with vaccines | Parents reported increased vaccine intentions when additional information emphasised vaccine benefits directly for the child or both to the child and society | 1 ꝉ | |||||
Kelly & Hornik, 2016 [46] | The “society” condition resulted in significantly higher intentions than the “self” condition | 3 |
Methods to Support Acceptable Messages | Evidence | Quality of Evidence | Supporting Evidence |
---|---|---|---|
Uptake | |||
Community-wide mixed media campaigns found to be effective for improving vaccination uptake among older adults. | [29,45] (systematic review) | Moderate High | Use different media for delivery and match delivery to the population’s needs and perceptions [16] |
Hospital-wide mixed media campaigns including educational and advertising methods sent to healthcare workers improved vaccination uptake | [29] (systematic review) | High | |
Text messages including information about health risks, vaccine safety and recommending vaccination were effective for increasing vaccine uptake among pregnant women. | [23] | High | Increase the public’s awareness of the risks of the virus to their own health and the health of others [16] |
Community-wide text message prompts with information about virus prevention and addressing misunderstandings about vaccination increased vaccination uptake among the general population | [33] | Moderate | Identify inconsistencies in messages from uncontrolled sources, especially when addressing key preventative behaviours [16] |
Including a map with the locations of influenza vaccination clinics in email invitations for vaccinations increased vaccination uptake. | [22] | Moderate | Frame the message to emphasise positive beliefs about one’s own health and that preventative behaviour is within one’s control [16] |
Psychological influences over uptake | |||
Shortened messages from official sources that were personally relevant, included information about susceptibility, and were risk-reducing were more effective than longer messages for improving willingness to be vaccinated. | [52] | High | Deliver consistent, clear, core messages about risk and preventative behaviour across sources within the same time points [16] |
Fear of side effects, concerns about risks to unborn baby, and unfamiliarity with vaccine terminology in messages were found among pregnant women, impacting on vaccination intentions. | [38] | High | Tailor key messages to be applicable to an individual’s situation [16] |
Vaccine safety concerns may arise from messages about the speed new vaccines have been tested during pandemics and have impacted on willingness to be vaccinated. | [43] | High | Be transparent: admit errors and unknowns whenever appropriate [16] |
Messages focused on benefits to society were found to be more effective than messages emphasising benefits to the self, to increase vaccination intentions. | [46] | Moderate | Consider framing messages around social responsibility and norms [16] |
A leaflet including influenza susceptibility, severity, vaccination benefits and efficacy, and behaviour change techniques including providing information about the behaviour-health link and personal accounts of people who received vaccination increased vaccination intentions | [50] | Moderate | Increase the public’s awareness of the risks of the virus to their own health and the health of others [16] |
Factual, risk-reducing messages were perceived as more credible and resulted in beliefs vaccination is more beneficial than messages emphasising health benefits of vaccines. | [52,55] | High High | Increase factual knowledge of all aspects of a virus (e.g., symptoms) and benefits of preventative behaviour using an appropriate message frame [16] |
Providing baseline information about risk alongside relative risk framing to communicate risk can result in stronger beliefs about effectiveness than using absolute risk framing. | [56] (systematic review) | High | Accurately describe the health threat, severity of the threat, the risk to self and others, coupled with information about how to reduce the risk [16] |
Narrative messages targeting confidence in vaccines, including stories of adults over 65 affected by seasonal influenza who got vaccinated, improved beliefs about capability to take up a vaccine. | [30] | High | Tailor key messages to be applicable to an individual’s situation [16] |
Pairing images of young adults while emphasising gains associated with vaccination, or framing losses with text (i.e., avoiding the use of negative imagery) increased confidence in vaccination effectiveness among young adults | [28] | Moderate | Increase factual knowledge of all aspects of a virus (e.g., symptoms) and benefits of preventative behaviour using an appropriate message frame [16] |
Web pages describing general information about Ebola and efforts involved in developing a vaccine and providing strong statements about self-efficacy and response efficacy were linked to more favourable attitudes towards vaccination. | [47] | Moderate | Accurately describe the health threat, severity of the threat, the risk to self and others, coupled with information about how to reduce the risk [16] |
Acceptability of messages & information needs | |||
A lack of clarity in messages using vaccine-related terminology and scientific information (e.g., the time it takes to build immunity) can impact on message acceptability among high risk groups | [38,48] | High High | Engage with key stakeholders and communities [16] |
High risk groups may perceive priority to be vaccinated using new vaccines as a form of discrimination, impacting negatively on attitudes towards the message. | [35] | High | Use messaging that empowers communities to take control of their own health [16] |
Factual, risk-reducing messages may be perceived as more credible than health-enhancing messages | [55] | High | Increase factual knowledge of all aspects of a virus (e.g., symptoms) and benefits of preventative behaviour using an appropriate message frame [16] |
Messages from official sources challenging myths may be more effective than providing facts alone for improving knowledge about vaccines | [24] | Moderate | Identify inconsistencies in messages from uncontrolled sources, especially when addressing key preventative behaviours [16] |
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Lawes-Wickwar, S.; Ghio, D.; Tang, M.Y.; Keyworth, C.; Stanescu, S.; Westbrook, J.; Jenkinson, E.; Kassianos, A.P.; Scanlan, D.; Garnett, N.; et al. A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic. Vaccines 2021, 9, 72. https://doi.org/10.3390/vaccines9020072
Lawes-Wickwar S, Ghio D, Tang MY, Keyworth C, Stanescu S, Westbrook J, Jenkinson E, Kassianos AP, Scanlan D, Garnett N, et al. A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic. Vaccines. 2021; 9(2):72. https://doi.org/10.3390/vaccines9020072
Chicago/Turabian StyleLawes-Wickwar, Sadie, Daniela Ghio, Mei Yee Tang, Chris Keyworth, Sabina Stanescu, Juliette Westbrook, Elizabeth Jenkinson, Angelos P. Kassianos, Daniel Scanlan, Natalie Garnett, and et al. 2021. "A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic" Vaccines 9, no. 2: 72. https://doi.org/10.3390/vaccines9020072
APA StyleLawes-Wickwar, S., Ghio, D., Tang, M. Y., Keyworth, C., Stanescu, S., Westbrook, J., Jenkinson, E., Kassianos, A. P., Scanlan, D., Garnett, N., Laidlaw, L., Howlett, N., Carr, N., Stanulewicz, N., Guest, E., Watson, D., Sutherland, L., Byrne-Davis, L., Chater, A., ... Epton, T. (2021). A Rapid Systematic Review of Public Responses to Health Messages Encouraging Vaccination against Infectious Diseases in a Pandemic or Epidemic. Vaccines, 9(2), 72. https://doi.org/10.3390/vaccines9020072