| Literature DB >> 35782719 |
Caroline M Poland1, Tamar Ratishvili2.
Abstract
Low vaccination rates among health care providers (HCPs) pose a risk to themselves, their colleagues, their patients, and the general public. This paper seeks to frame the issues surrounding health care provider vaccine hesitancy and vaccination rates, as well as explore factors influencing respective decision-making, including health care occupation and demographic characteristics. This paper will then propose the use of the Preferred Cognitive Style and Decision-Making (PCSDM) Model and the Empathy Tool to increase health care provider vaccination rates, and will end by discussing several recommendations. It is important while discussing HCP vaccination rates to not view them as a monolithic group or apply "one-size-fits-all" approaches, and thus it is essential to present information and engage in conversations in ways that align with how the HCP takes in and processes information and decisions. Furthermore, it is vital to increase health literacy across the spectrum of HCP programs and professions. To this end, it is important to teach and incorporate the PCSDM Model and Empathy Tool, along with information about how individuals think and make decisions, into vaccine education programs and training sessions.Entities:
Keywords: Health care providers; Health decision-making; Immunization; Immunization rate; Vaccine hesitancy
Year: 2022 PMID: 35782719 PMCID: PMC9241108 DOI: 10.1016/j.jvacx.2022.100174
Source DB: PubMed Journal: Vaccine X ISSN: 2590-1362
Fig. 1The Empathy Tool. Adapted from Poland et al. [14]; with permission from Vaccine.
Table adapted from Poland CM, Poland GA. Vaccine education spectrum disorder: the importance of incorporating psychological and cognitive models into vaccine education. Vaccine. 2011 Aug 26;29[37]:6145–8 with permission from Vaccine.
| Preferred Cognitive Styles Communication and Approaches | |||
|---|---|---|---|
| Cognitive style | Main effect | Verbal expression | Approach |
| Denialist | Disbelieves accepted scientific facts, despite overwhelming evidence. Prone to believe conspiracy theories | “I don’t care what the data show, I don’t believe the vaccine is safe” | Provide consistent messaging repeatedly over time from trustworthy sources, provide educational materials, solicit questions, avoid “hard sell” approach, use motivational interviewing approaches |
| Innumerate | Cannot understand or has difficulty manipulating numbers, probabilities, or risks | “One in a million risk sounds high, for sure I’ll be the 1 in a million that has a side effect, I’ll avoid the vaccine” | Provide nonmathematical information, analogies, or comparators using a more holistic “right brain” or emotive approach |
| Fear-based | Decision making based on fears | “I heard vaccines are harmful and I’m not going to get them” | Understand source of fear, provide consistent positive approach, show risks in comparison to other daily risks, demonstrate risks of not receiving vaccines, use social norming approaches |
| Heuristic | Often appeals to availability heuristic (what I can recall equates with how commonly it occurs | “I remember GBS happened in 1977 after flu vaccines, that must be common, and therefore I’m not getting a flu vaccine” | Point out inconsistencies and fallacy of heuristic thinking, provide educational materials, appeal to other heuristics |
| Bandwagoning | Primarily influenced by what others are doing or saying | “If others are refusing the vaccine there must be something to it. I’m going to skip getting the vaccine” | Understand primary influencers, point out logical inconsistencies, use social norming and self-efficacy approaches |
| Analytical | Left brain thinking, facts are paramount | “I want to see the data so I can make a decision” | Provide data requested, review analytically with patient |