Evaluation of a method to identify midwives in national provider identifier data

OBJECTIVES

Comparison of national midwife workforce data from the National Provider Identifier file determined it undercounted midwives compared to national data available from the American Midwifery Certification Board. This undercount may be due to the existence of three taxonomy categories for midwives when registering for the National Provider Identifier. The objective of this study was to obtain an accurate count of advanced practice midwives using the National Provider Identifier Data.

METHODS

A recode strategy was created using the NPPES Data Dissemination File for November 7, 2021. The strategy identified advanced practice midwives using education and certification information provided in the "credentials" field. The strategy was validated using the NPPES Data Dissemination File for August 7, 2022 and the gold standard was the American Midwifery Certification Board count of midwives by state for August, 2022. Validation compared the accuracy and precision of the recode to the accuracy and precision of using the advanced practice midwife taxonomy category.

RESULTS

The recode strategy improved the accuracy and precision of the count of advanced practice midwives compared to the identification of advanced practice midwives using the advanced practice midwife taxonomy category.

CONCLUSIONS FOR PRACTICE

Recoding the NPPES Data Dissemination File provides a more accurate and precise count of advanced practice midwives than relying on the existing advanced practice midwife taxonomy classification. Researchers can use the NPPES Data Dissemination File when studying the midwifery workforce.

Trusted information sources in the early months of the COVID-19 pandemic predict vaccination uptake over one year later

INTRODUCTION

COVID-19 vaccine uptake has been a major barrier to stopping the pandemic in many countries with vaccine access. This longitudinal study examined the capability to predict vaccine uptake from data collected early in the pandemic before vaccines were available.

METHODS

493 US respondents completed online surveys both at baseline (March 2020) and wave 6 (June 2021), while 390 respondents completed baseline and wave 7 (November 2021) surveys. The baseline survey assessed trust in sources of COVID-19 information, social norms, perceived risk of COVID-19, skepticism about the pandemic, prevention behaviors, and conspiracy beliefs. Multivariable logistic models examined factors associated with the receipt of at least one COVID-19 vaccine dose at the two follow-ups.

RESULTS

In the adjusted model of vaccination uptake at wave 6, older age (aOR = 1.02, 95 %CI = 1.00-1.04) and greater income (aOR = 1.69, 95 %CI = 1.04-2.73) was associated with positive vaccination status. High trust in state health departments and mainstream news outlets at baseline were positively associated with vaccination at wave 6, while high trust in the Whitehouse (aOR = 0.42, 95 %CI = 0.24-0.74) and belief that China purposely spread the virus (aOR = 0.66, 95 %CI = 0.46-0.96) at baseline reduced the odds of vaccination. In the adjusted model of vaccination uptake at wave 7, increased age was associated with positive vaccination status, and Black race (compared to white) was associated with negative vaccination status. High trust in the CDC and mainstream news outlets at baseline were both associated with being vaccinated at wave 7, while high trust in the Whitehouse (aOR = 0.24, 95 %CI = 0.11-0.51) and belief that the virus was spread purposefully by China (aOR = 0.60, 95 %CI = 0.39-0.93) were negatively associated with vaccination.

CONCLUSIONS

These findings indicated that vaccine uptake could be predicted over a year earlier. Trust in specific sources of COVID-19 information were strong predictors, suggesting that future pandemic preparedness plans should include forums for news media, public health officials, and diverse political leaders to meet and develop coherent plans to communicate to the public early in a pandemic so that antivaccine attitudes do not flourish and become reinforced.