Background: Through Community Care Networks (CCNs) implemented with the VA MISSION Act, VA expanded provider contracting and instituted network adequacy standards for Veterans' community care.

Objective: To determine whether early CCN implementation impacted community primary care (PC) appointment wait times overall, and by rural/urban and PC shortage area (HPSA) status.

Design: Using VA administrative data from February 2019 through February 2020 and a difference-in-differences approach, we compared wait times before and after CCN implementation for appointments scheduled by VA facilities that did (CCN appointments) and did not (comparison appointments) implement CCNs. We ran regression models with all appointments, and stratified by rural/urban and PC HPSA status. All models adjusted for Veteran characteristics and VA facility-level clustering.

Appointments: 13,720 CCN and 40,638 comparison appointments.

Main Measures: Wait time, measured as number of days from authorization to use community PC to a Veteran's first corresponding appointment.

Key Results: Overall, unadjusted wait times increased by 35.7 days ([34.4, 37.1] 95% CI) after CCN implementation. In adjusted analysis, comparison wait times increased on average 33.7 days ([26.3, 41.2] 95% CI, p < 0.001) after CCN implementation; there was no significant difference for CCN wait times (across-group mean difference: 5.4 days, [-3.8, 14.6] 95% CI, p = 0.25). In stratified analyses, comparison wait time increases ranged from 29.6 days ([20.8, 38.4] 95% CI, p < 0.001) to 42.1 days ([32.9, 51.3] 95% CI, p > 0.001) after CCN implementation, while additional differences for CCN appointments ranged from 13.4 days ([3.5, 23.4] 95% CI, p = 0.008) to -15.1 days ([-30.1, -0.1] 95% CI, p = 0.05) for urban and PC HPSA appointments, respectively.

Conclusions: After early CCN implementation, community PC wait times increased sharply at VA facilities that did and did not implement CCNs, regardless of rural/urban or PC HPSA status, suggesting community care demand likely overwhelmed VA resources such that CCNs had limited impact.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616400PMC
http://dx.doi.org/10.1007/s11606-022-07800-1DOI Listing

Publication Analysis

Top Keywords

ccn implementation
24
wait times
24
wait time
12
times increased
12
95% 0001
12
ccn
10
wait
9
primary care
8
care appointment
8
appointment wait
8

Similar Publications

Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.

JMIR Med Educ

January 2025

Department of Medical Education, University of Idaho, 875 Perimeter Drive MS 4061, WWAMI Medical Education, Moscow, ID, 83844-9803, United States, 1 5092090908.

Background: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.

Objective: This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs).

View Article and Find Full Text PDF

Background And Purpose: The 2014 Clinical Education (CE) Summit and subsequent scholarly work prompted development of collaborative, mutually beneficial, innovative processes to mitigate CE challenges and inefficiencies. Contemporary practice advocates for collaboration among physical therapist (PT) academic programs (Programs) and clinical partners (Partners) to create a sustainable placement process with mutual benefits for stakeholders. The purpose of this article is to describe the design and implementation of the Ohio Kentucky Consortium of Physical Therapy Educators (Consortium) Consortium Core Network's (CCN) centralized PT CE Placement Process (PT-CEPP) model and share participants' experience perspectives.

View Article and Find Full Text PDF

The mpox 2022 outbreak was declared a public health emergency in July 2022. In August 2022, the MVA-BN vaccine received emergency use authorization in the United States (US) to target at-risk groups. This study (EUPAS104386) used HealthVerity's administrative US healthcare data to generate real-world evidence for MVA-BN vaccine effectiveness and safety to prevent mpox disease in men who have sex with men (MSM) and transgender women, the most affected population during the 2022 mpox outbreak.

View Article and Find Full Text PDF

Measurements of neural responses to identically repeated experimental events often exhibit large amounts of variability. This is distinct from , operationally defined as the average expected response across repeated trials for each given event. Accurately distinguishing signal from noise is important, as each is a target that is worthy of study (many believe noise reflects important aspects of brain function) and it is important not to confuse one for the other.

View Article and Find Full Text PDF

The accurate forecast of the diurnal cycle of the number concentration of trace gases is vital due to their influence on precipitation processes by controlling the number concentration of cloud condensation nuclei (CCN). 1-D hybrid Monte Carlo-Gear solver developed to retrieve vertical profiles of the number concentration of CCNs for microphysics modeling has been tested for representation of the diurnal cycle in the present paper. The retrieved profiles of CH and SO have been tested with the Copernicus Atmosphere Monitoring Service (CAMS) model at 3-hour time intervals for four megacities: Delhi, Kolkata, Chennai, and Mumbai for rainy and non-rainy days.

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!