| Keyword search (4,164 papers available) | ![]() |
"Bias" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | MATES: A tool for appraising the completeness with which a meta-analysis has been reported | Morrison K; Pottier P; Pollo P; Ricolfi L; Williams C; Yang Y; Beillouin D; Cardoso SJ; Ferreira V; Gallagher B; Gan JL; Hao G; Keikha M; Kozlowsky-Suzuki B; Kiran Kumara TM; Latterini F; Leverkus AB; Macartney EL; Manrique SM; Martinig AR; Mizuno A; Nanayakkara S; Ntzani E; Ouédraogo DY; Pursell E; Simpson Z; Sleight H; Woon KS; Xia Z; Ghannad M; Grames E; Hennessy EA; IntHout J; Moher D; O' Dea RE; Page MJ; Whaley P; Lagisz M; Nakagawa S; | 41411971 BIOLOGY |
| 2 | Weight bias, stigma and discrimination: a call for greater conceptual clarity | Côté M; Forouhar V; Sacco S; Baillot A; Himmelstein M; Hussey B; Incollingo Rodriguez AC; Nagpal TS; Nutter S; Patton I; Pearl RL; Puhl RM; Ramos Salas X; Russell-Mayhew S; Alberga AS; | 41280193 HKAP |
| 3 | Unintended consequences of measuring gestational weight gain: how to reduce weight stigma in perinatal care | Alberga AS; Incollingo Rodriguez AC; Nagpal TS; | 40652172 HKAP |
| 4 | The β2-adrenergic biased agonist nebivolol inhibits the development of Th17 and the response of memory Th17 cells in an NF-κB-dependent manner | Hajiaghayi M; Gholizadeh F; Han E; Little SR; Rahbari N; Ardila I; Lopez Naranjo C; Tehranimeh K; Shih SCC; Darlington PJ; | 39445009 BIOLOGY |
| 5 | Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs | Côté M; Forouhar V; Edache IY; Alberga AS; | 38964079 HKAP |
| 6 | Exploring the association between internalized weight bias and mental health among Canadian adolescents | Lucibello KM; Goldfield GS; Alberga AS; Leatherdale ST; Patte KA; | 38676448 HKAP |
| 7 | Weighty words: exploring terminology about weight among samples of physicians, obesity specialists, and the general public | Wilson OWA; Nutter S; Russell-Mayhew S; Ellard JH; Alberga AS; MacInnis CC; | 38131299 HKAP |
| 8 | Putting things right: An experimental investigation of memory biases related to symmetry, ordering and arranging behaviour | Radomsky AS; Ouellet-Courtois C; Golden E; Senn JM; Parrish CL; | 37793286 PSYCHOLOGY |
| 9 | Do trauma cue exposure and/or PTSD symptom severity intensify selective approach bias toward cannabis cues in regular cannabis users with trauma histories? | DeGrace S; Romero-Sanchiz P; Tibbo P; Barrett S; Arenella P; Cosman T; Atasoy P; Cousijn J; Wiers R; Keough MT; Yakovenko I; O' Connor R; Wardell J; Rudnick A; Nicholas Carleton R; Heber A; Stewart SH; | 37625353 PSYCHOLOGY |
| 10 | Weight bias internalization and beliefs about the causes of obesity among the Canadian public | Vida Forouhar | 37620795 HKAP |
| 11 | Modeling venous bias in resting state functional MRI metrics | Huck J; Jäger AT; Schneider U; Grahl S; Fan AP; Tardif C; Villringer A; Bazin PL; Steele CJ; Gauthier CJ; | 37498014 PERFORM |
| 12 | Visual biases in evaluation of speakers' and singers' voice type by cis and trans listeners | Marchand Knight J; Sares AG; Deroche MLD; | 37205083 PSYCHOLOGY |
| 13 | Predictors of support for anti-weight discrimination policies among Canadian adults | Levy M; Forouhar V; Edache IY; Alberga AS; | 37139379 HKAP |
| 14 | How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses | Joyal-Desmarais K; Stojanovic J; Kennedy EB; Enticott JC; Boucher VG; Vo H; Košir U; Lavoie KL; Bacon SL; | 36335560 HKAP |
| 15 | Recommendations for making editorial boards diverse and inclusive | Mahdjoub H; Maas B; Nuñez MA; Khelifa R; | 36280401 BIOLOGY |
| 16 | Exploring weight bias internalization in pregnancy | Nagpal TS; Salas XR; Vallis M; Piccinini-Vallis H; Alberga AS; Bell RC; da Silva DF; Davenport MH; Gaudet L; Rodriguez ACI; Liu RH; Myre M; Nerenberg K; Nutter S; Russell-Mayhew S; Souza SCS; Vilhan C; Adamo KB; | 35906530 HKAP |
| 17 | Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 35362161 PSYCHOLOGY |
| 18 | Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; | 35334411 PSYCHOLOGY |
| 19 | The relationship between weight bias internalization and healthy and unhealthy weight control behaviours | Levy M; Kakinami L; Alberga AS; | 35201546 PERFORM |
| 20 | Mapping changes in the obesity stigma discourse through Obesity Canada: a content analysis | Kirk SF; Forhan M; Yusuf J; Chance A; Burke K; Blinn N; Quirke S; Salas XR; Alberga A; Russell-Mayhew S; | 35071667 HKAP |
| 21 | Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases | Azarpanah H; Farhadloo M; Vahidov R; Pilote L; | 34530804 JMSB |
| 22 | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A; | 33838273 CONCORDIA |
| 23 | Weight bias and support of public health policies | Edache IY; Kakinami L; Alberga AS; | 33990876 PERFORM |
| 24 | Predicting Interpersonal Outcomes From Information Processing Tasks Using Personally Relevant and Generic Stimuli: A Methodology Study | Serravalle L; Tsekova V; Ellenbogen MA; | 33071861 CRDH |
| 25 | Prediction Errors in Depression: A Quasi-Experimental Analysis. | Radomsky AS, Wong SF, Dussault D, Gilchrist PT, Tesolin SB | 32746394 PSYCHOLOGY |
| 26 | The Association Between Weight-Based Teasing from Peers and Family in Childhood and Depressive Symptoms in Childhood and Adulthood: A Systematic Review. | Szwimer E, Mougharbel F, Goldfield GS, Alberga AS | 32002762 HKAP |
| 27 | Group sample sizes in nonregulated health care intervention trials described as randomized controlled trials were overly similar | Thombs BD; Levis AW; Azar M; Saadat N; Riehm KE; Sanchez TA; Chiovitti MJ; Rice DB; Levis B; Fedoruk C; Lyubenova A; Malo Vázquez de Lara AL; Kloda LA; Benedetti A; Shrier I; Platt RW; Kimmelman J; | 31866472 LIBRARY |
| 28 | Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. | Lazli L, Boukadoum M, Ait Mohamed O | 31652635 ENCS |
| 29 | Dopamine and light: effects on facial emotion recognition. | Cawley E, Tippler M, Coupland NJ, Benkelfat C, Boivin DB, Aan Het Rot M, Leyton M | 28633582 CSBN |
| 30 | Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. | Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ | 28159689 PERFORM |
| Title: | Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases | ||||
| Authors: | Azarpanah H, Farhadloo M, Vahidov R, Pilote L | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34530804/ | ||||
| DOI: | 10.1186/s12889-021-11745-1 | ||||
| Publication: | BMC public health | ||||
| Keywords: | Adverse event; Adverse events following immunization (AEFI); Cognitive bias; Vaccine adverse event reporting system (VAERS); Vaccine hesitancy; | ||||
| PMID: | 34530804 | Category: | Date Added: | 2021-09-20 | |
| Dept Affiliation: |
JMSB
1 John Molson School of Business, Concordia University, 1450 Guy St, Montreal, Quebec, H3H 0A1, Canada. hossein.azarpanah@concordia.ca. 2 John Molson School of Business, Concordia University, 1450 Guy St, Montreal, Quebec, H3H 0A1, Canada. 3 Centre for Outcomes Research and Evaluation, McGill University, 5252 De Maisonneuve Blvd, Montreal, Quebec, H4A 3S5, Canada. |
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Description: |
Background: Vaccine hesitancy has been a growing challenge for public health in recent decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine safety and Adverse Events (AEs) play the leading role. Moreover, cognitive biases are critical in connecting such concerns to vaccine hesitancy behaviors, but their role has not been comprehensively studied. In this study, our first objective is to address concerns regarding vaccine AEs to increase vaccine acceptance. Our second objective is to identify the potential cognitive biases connecting vaccine hesitancy concerns to vaccine-hesitant behaviors and identify the mechanism they get triggered in the vaccine decision-making process. Methods: First, to mitigate concerns regarding AEs, we quantitatively analyzed the U.S. Vaccine Adverse Event Reporting System (VAERS) from 2011 to 2018 and provided evidence regarding the non-severity of the AEs that can be used as a communicable summary to increase vaccine acceptance. Second, we focused on the vaccination decision-making process. We reviewed cognitive biases and vaccine hesitancy literature to identify the most potential cognitive biases that affect vaccine hesitancy and categorized them adopting the Precaution Adoption Process Model (PAPM). Results: Our results show that the top frequent AEs are expected mild reactions like injection site erythema (4.29%), pyrexia (3.66%), and injection site swelling (3.21%). 94.5% of the reports are not serious and the average population-based serious reporting rate over the 8 years was 25.3 reports per 1 million population. We also identified 15 potential cognitive biases that might affect people's vaccination decision-making and nudge them toward vaccine hesitancy. We categorized these biases based on the factors that trigger them and discussed how they contribute to vaccine hesitancy. Conclusions: This paper provided an evidence-based communicable summary of VAERS. As the most trusted sources of vaccine information, health practitioners can use this summary to provide evidence-based vaccine information to vaccine decision-makers (patients/parents) and mitigate concerns over vaccine safety and AEs. In addition, we identified 15 potential cognitive biases that might affect the vaccination decision-making process and nudge people toward vaccine hesitancy. Any plan, intervention, and message to increase vaccination uptake should be modified to decrease the effect of these potential cognitive biases. |



