Latent Class Analysis of Maternal Vaccine Attitudes and Beliefs

2020 ◽  
Vol 47 (5) ◽  
pp. 765-781
Author(s):  
Matthew Z. Dudley ◽  
Rupali J. Limaye ◽  
Daniel A. Salmon ◽  
Saad B. Omer ◽  
Sean T. O’Leary ◽  
...  

Background. Maternal vaccine coverage is suboptimal, and a substantial proportion of parents have concerns about vaccines. Most parents seek out vaccine information during and immediately after their first pregnancy. No study to our knowledge has analyzed survey data to identify homogeneous groups of pregnant women based on their vaccine attitudes and beliefs. Aims. To identify homogeneity among groups of pregnant women based on their vaccine attitudes and beliefs to facilitate audience segmentation and targeting of tailored educational interventions. Method. Between June 2017 and July 2018, we surveyed 2,196 pregnant women recruited from geographically and sociodemographically diverse prenatal care practices in Georgia and Colorado. We then performed a latent class analysis to identify homogeneity among groups of pregnant women. Results. Our latent class analysis produced three groups of pregnant women: vaccine supporters (36% of women), vaccine acceptors (41%), and vaccine skeptics (23%). Discussion. The major difference between the supporters and the acceptors were whether they mostly “strongly agreed” or just “agreed” to Likert-type scale survey items assessing their vaccine attitudes and beliefs. The skeptics most frequently chose “disagree” or “don’t know” for items assessing attitudinal constructs such as confidence in vaccine safety and efficacy and disease susceptibility. However, even skeptics often chose “agree” for items assessing constructs such as disease severity and self-efficacy. Conclusions. This article provides useful insight into the homogeneity among groups of pregnant women based on their vaccine attitudes and beliefs. This knowledge should help facilitate audience segmentation and targeting of tailored educational interventions among this population.

2010 ◽  
Vol 140 (12) ◽  
pp. 2253-2259 ◽  
Author(s):  
Daniela Sotres-Alvarez ◽  
Amy H. Herring ◽  
Anna Maria Siega-Riz

2020 ◽  
Vol 17 (6) ◽  
pp. 437-447
Author(s):  
Ching‐Fang Lee ◽  
Yuan‐Horng Lin ◽  
Li‐Kang Chi ◽  
Hsien‐Ming Lin ◽  
Jian‐Pei Huang

2017 ◽  
Vol 27 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Soumyadeep Mukherjee ◽  
Stefany Coxe ◽  
Kristopher Fennie ◽  
Purnima Madhivanan ◽  
Mary Jo Trepka

2021 ◽  
Author(s):  
Ondřej Kácha ◽  
Jáchym Vintr ◽  
Cameron Brick

Building public will for climate action requires designing messages for different audiences. Previous studies that identified groups based on similar beliefs, behavior, and political preferences related to climate change were in single countries and were not pre-registered. The current study ran latent class analysis on the European Social Survey (ESS 2016, N= 44,387) to identify groups of people according to their climate change attitudes and beliefs in 22 European countries and Israel. We found strong evidence for four groups: Engaged (18%), Conflicted (18%), Indifferent (42%), and Skeptical (21%) and we compare the segment structure and proportions within Europe and to other countries. We identify differences between the groups in values, life satisfaction, and social trust, and then revealed that the groups uniquely predict self-reported behaviors not included in the segmentation. The findings characterize climate change beliefs for all of Europe and guide governments and pan-European bodies in designingeffective communications to promote climate beliefs and actions.


2019 ◽  
Vol 4 (2) ◽  
pp. e000930 ◽  
Author(s):  
Rachel R Yorlets ◽  
Katherine R Iverson ◽  
Hannah H Leslie ◽  
Anna Davies Gage ◽  
Sanam Roder-DeWan ◽  
...  

IntroductionIn the era of Sustainable Development Goals, reducing maternal and neonatal mortality is a priority. With one of the highest maternal mortality ratios in the world, Malawi has a significant opportunity for improvement. One effort to improve maternal outcomes involves increasing access to high-quality health facilities for delivery. This study aimed to determine the role that quality plays in women’s choice of delivery facility.MethodsA revealed-preference latent class analysis was performed with data from 6625 facility births among women in Malawi from 2013 to 2014. Responses were weighted for national representativeness, and model structure and class number were selected using the Bayesian information criterion.ResultsTwo classes of preferences exist for pregnant women in Malawi. Most of the population 65.85% (95% CI 65.847% to 65.853%) prefer closer facilities that do not charge fees. The remaining third (34.15%, 95% CI 34.147% to 34.153%) prefers central hospitals, facilities with higher basic obstetric readiness scores and locations further from home. Women in this class are more likely to be older, literate, educated and wealthier than the majority of women.ConclusionFor only one-third of pregnant Malawian women, structural quality of care, as measured by basic obstetric readiness score, factored into their choice of facility for delivery. Most women instead prioritise closer care and care without fees. Interventions designed to increase access to high-quality care in Malawi will need to take education, distance, fees and facility type into account, as structural quality alone is not predictive of facility type selection in this population.


2014 ◽  
Vol 45 (2) ◽  
pp. 192-199 ◽  
Author(s):  
Daniel Boduszek ◽  
Catherine O’Shea ◽  
Katie Dhingra ◽  
Philip Hyland

Abstract This study aimed to examine the number of latent classes of criminal social identity that exist among male recidivistic prisoners. Latent class analysis was used to identify homogeneous groups of criminal social identity. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the associationsto number of police arrests, recidivism, and violent offending while controlling for current age. The best fitting latent class model was a five-class solution: ‘High criminal social identity’ (17%), ‘High Centrality, Moderate Affect, Low Ties’ (21.7%), ‘Low Centrality, Moderate Affect, High Ties’ (13.3%),‘Low Cognitive, High Affect, Low Ties’ (24.6%), and ‘Low criminal social identity’ (23.4%). Each of the latent classes was predicted by differing external variables. Criminal social identity is best explained by five homogenous classes that display qualitative and quantitative differences.


Sign in / Sign up

Export Citation Format

Share Document