Purpose: To assess gender utilization of the Family and Medical Leave Act (FMLA) in radiology practices across the United States.

Methods: The Practice of Radiology Environment Database was utilized to identify U.S. practice leaders, who were asked to complete an electronic survey developed by the ACR Human Resources (HR) Commission. In 2016, new survey questions asked about number of radiologists in each practice who took FMLA, the reasons why, the average number of weeks taken, and how such absences were covered.

Results: Thirty-two percent (579/1815) of practice group leaders responded to the survey and of these, 73% (432/579) answered FMLA questions, with 15% of those (64/432) answering affirmatively that a radiologist in their practice had taken FMLA leave. Reasons for this in 2015 included to care for a newborn/adopted child (49%), because of a personal serious health condition (42%), to care for an immediate family member (8%), or for active military duty (1%). Women took a greater number of weeks of FMLA leave than men for all reasons (care of newborn/adopted child: 10.7 versus 4.7; personal serious health condition: 10.3 versus 8.0; care of immediate family member: 9.7 versus 8.7) except for military duty (24 weeks taken, all by men). At least 69% of leave time was paid, irrespective of reason for leave or gender of person taking it. Most practices (82%) made no workforce changes to cover FMLA leave.

Conclusions: Both genders of radiologists needed absences from work for FMLA-sanctioned reasons.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jacr.2016.08.023DOI Listing

Publication Analysis

Top Keywords

utilization family
8
family medical
8
medical leave
8
radiology practices
8
human resources
8
practice fmla
8
number weeks
8
fmla leave
8
care newborn/adopted
8
newborn/adopted child
8

Similar Publications

Unraveling the genetic mysteries of spinal muscular atrophy in Chinese families.

Orphanet J Rare Dis

January 2025

The Genetics and Prenatal Diagnosis Center, The Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Jianshe Rd, Erqi District, Zhengzhou, 450052, Henan, China.

Objective: Spinal muscular atrophy (SMA) is a motor neuron disorder encompassing 5q and non-5q forms, causing muscle weakness and atrophy due to spinal cord cell degeneration. Understanding its genetic basis is crucial for genetic counseling and personalized treatment options.

Methods: This study retrospectively analyzed families of patients suspected of SMA at our institution from February 2006 to March 2024.

View Article and Find Full Text PDF

Background: Understanding the determinants of life expectancy (LE) is essential for effective policy planning and enhancing public health in the Gulf Cooperation Council (GCC) countries. This study aims to elucidate the complex interactions among sociodemographic (SD), macroeconomic (ME), and health resource (HR) factors that influence LE among the GCC countries.

Methods: We employed a Meta-Analytic Structural Equation Modeling to develop a comparative model across six GCC countries using annual data from 1990 to 2020.

View Article and Find Full Text PDF

This study investigates trends and patterns in self-harm incidence rates among individuals aged 10-39 years in Iran from 1990 to 2019. Using Age-Period-Cohort (APC) analysis, it aims to identify significant age, period, and cohort effects, and to highlight gender-specific trends for effective prevention strategies. Utilizing data from the Global Burden of Disease (GBD) study, we performed an APC analysis to assess trends in self-harm incidence rates by gender.

View Article and Find Full Text PDF

Intimate Partner Violence (IPV) during pregnancy poses a serious threat to maternal health, particularly in low- and lower-middle-income countries (LMICs). Despite these known risks, the role of spousal educational differences in IPV during pregnancy remains poorly understood. This study aimed to examine this influence, analyzing data from multiple countries across five continents.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!