Publications by authors named "P Kett"

Health centers (sometimes referred to as "federally qualified health centers") can play an important role in addressing perinatal inequities. However, there is limited information on how different staffing models in health centers contribute to perinatal outcomes, including the availability of certified nurse midwives (CNMs). Using 2011-2021 Uniform Data System files, we examined 4 staffing models in 1385 health centers: those with no CNMs or obstetricians-gynecologists (OBs) ("non-CNM/OB"), CNM-only, OB-only, and both CNMs and OBs ("CNM/OB").

View Article and Find Full Text PDF

Using novel national data, we examined the association between 2020 federal COVID-related funding targeted to health centers (i.e., H8 funding) and health center workforce and operational capacity measures that may be important for preserving patient access to care and staff safety.

View Article and Find Full Text PDF

In 2020 and 2021, health centers received federal funding to support their COVID-19 pandemic response, yet little is known about how the funds were distributed. This study identified ten sources of funding distributed to 1,352 centers, ranging from $19 to $1.22 billion per center.

View Article and Find Full Text PDF

Objectives: Mental health disorders are increasing among health profession students. Compounding this, students from underrepresented backgrounds may face additional stressors and challenges. The aims of this study were to: (1) assess the extent to which burnout, exhaustion, experiences of discrimination, and stress exist among students in dentistry, nursing, occupational therapy, pharmacy, and physical therapist professional education programs; (2) determine if there are significant differences by key demographic characteristics (those who are first-generation college students [FGCSs], a member of an underrepresented minority [URM] group, or both); and (3) highlight strategies and solutions to alleviate these challenges identified by students.

View Article and Find Full Text PDF

Objective: To address gaps in understanding the public health nursing workforce regarding competencies recognized as critical during an emergency response.

Design, Setting, And Participants: A cross-sectional observational study using data with information on local health department staff- and organizational-level characteristics collected from across the United States in 2021. We used logistic regression to estimate the association between 2 binary nurse-specific predictors-(1) whether the staff person was a nurse and (2) whether the staff worked in a local health department that was "nurse-led" (directed by a nurse)-and reported proficiencies important to the COVID-19 response.

View Article and Find Full Text PDF