A cross-sectional assessment of statistical knowledge among pharmacy faculty

Vaccine hesitancy for COVID19: what is the role of statistical literacy?

Introduction

Vaccination is an important measure used to control the spread of COVID19. The estimation of risk versus benefit of vaccination is based on the understanding of information about the vaccine. Statistics are frequently part of communications about COVID19. Individuals that do not have an adequate foundation of statistical knowledge may not be able to properly assess associated risks and benefits. This study aims to assess the association between statistical literacy and hesitation to receive the COVID19 vaccine.

Methods

A nationally representative sample of 2,138 adults, recruited through CINT United States, Inc., (Lawrenceville, NJ; http://www.cint.com), completed an internet survey in the summer of 2021. This survey collected demographic measures and information about COVID19 vaccination status. The competency of respondents on various basic statistical concepts was assessed along with the corresponding confidence of respondents in their answers. A multivariable logistic regression model was constructed to assess the relationship between vaccine hesitancy and statistical literacy while controlling for covariates of interest.

Results

Statistical literacy was found to have a negligible association with COVID19 vaccine hesitancy (OR 1.01; 95% CI 1.00-1.02). In addition, differences in the proportion receiving the COVID19 vaccine between political affiliations, income levels, race groups, and ethnicities were observed.

Discussion

The statistical knowledge of the general American public is not commensurate with the need to be literate in basic statistical concepts in the data-driven world in which we live. An effective way to stem vaccine hesitancy may rely on increased statistical knowledge to not be biased by preconceived beliefs shaped by misinformation.

Novel pictograms to improve pharmacist understanding of the number needed to treat (NNT)

INTRODUCTION

Number needed to treat (NNT) is a clinically useful "yardstick" used to gauge the efficacy of therapeutic interventions. The objective of this project was to develop and pilot a series of pictograms and assess their impact on pharmacist understanding of the NNT.

METHODS

Three decision aids containing NNT pictograms were developed following a preliminary literature review and three focus groups with current Australian-registered pharmacists and pharmacist interns. Pharmacists then tested the pictograms in a research pilot in clinical encounters until (1) ≥ 3 sessions had occurred or (2) a two-week period had elapsed from commencement. Knowledge assessment was administered both pre- and post-pilot. Transcription and inductive thematic analysis were applied to focus group data. Descriptive statistics, Wilcoxon signed rank, and McNemar's tests were used to analyse the pilot data.

RESULTS

Six core themes regarding NNT decision aid development were identified with >80% consensus across three focus groups (N = 11). Comparison of the pre-post measures (n = 10) showed an increase in median scores after use of NNT decision aids, correlating to a moderate Cohen classified effect size (d = 0.54). Wilcoxon matched pairs test demonstrated a statistically insignificant influence of NNT pictograms on the knowledge assessment survey (P > .05).

CONCLUSIONS

While the NNT is not a new concept, its incorporation as part of pictograms for health practitioner enrichment is novel. This pilot study suggests that utilizing decision aids with NNT pictograms as counselling adjuncts appears promising in the realm of enhancing pharmacists' understanding of the NNT.

A comparative cross-sectional assessment of statistical knowledge of faculty across five health science disciplines

Introduction:

The purpose of this study was to compare statistical knowledge of health science faculty across accredited schools of dentistry, medicine, nursing, pharmacy, and public health.

Methods:

A probability sample of schools was selected, and all faculty at each selected school were invited to participate in an online statistical knowledge assessment that covered fundamental topics including randomization, study design, statistical power, confidence intervals, multiple testing, standard error, regression outcome, and odds ratio.

Results:

A total of 708 faculty from 102 schools participated. The overall response rate was 6.5%. Most (94.2%) faculty reported reading the peer-reviewed health-related literature. Respondents answered 66.2% of questions correctly across all questions and disciplines. Public health had the highest performance (80.7%) and dentistry the lowest (53.3%).

Conclusions:

Knowledge of statistics is essential for critically evaluating evidence and understanding the health literature. These study results identify a gap in knowledge by educators tasked with training the next generation of health science professionals. Recommendations for addressing this gap are provided.