TY - JOUR
AU - C. Walker
AU - V. Little
AU - J. Joyner
AU - S. Fuller
AU - B. Green
A1 - 
AB - CONTEXT AND AIMS: In the United States, access to evidence-based behavioral health treatment remains limited, contributing to inadequate treatment for individuals with depression and anxiety disorders. The Collaborative care model (CoCM), the integration of behavioral healthcare into primary care, has been shown to be effective in addressing this issue, particularly when delivered virtually through telehealth platforms. While collaborative care has been shown to be effective, little has been studied to understand the impact of patient treatment factors on patient improvement. This study aims to analyze factors associated with patient improvement, measured by PHQ-9 and GAD-7 score changes, in patients with depression and anxiety disorders from Concert Health, a national behavioral medical group offering collaborative care across 18 states. METHODS AND MATERIAL: Stepwise logistic regression models were utilized to identify factors influencing patient improvement in standardized symptom screener scores (PHQ-9 and GAD-7). Relevant patient-level data, including demographics, clinical engagement, insurance type, clinical touchpoints, and other variables, were analyzed. Results are presented as odds ratios (ORs). RESULTS AND CONCLUSIONS: We find that increased clinical touchpoints were associated with improved outcomes in both depression (PHQ-9) and anxiety (GAD-7) populations. Commercial insurance was linked to a greater likelihood of improvement relative to Medicaid, and the use of C-SSRS suicide screeners had varied effects on patient outcomes depending on the diagnosis. The duration of time spent in appointments showed a nuanced impact, suggesting an optimal length for touchpoints. Psychiatric consults also impact patient outcomes in both populations. This study sheds light on factors influencing patient outcomes in virtual collaborative care for depression and anxiety disorders, which may be used to inform and motivate further research and allow providers to better optimize and understand the impacts of treatment choices in collaborative care settings.
AD - Research Department, JG Research and Evaluation, Bozeman, Montana, United States.; Research Department, Concert Health, San Diego, California, United States.
AN - 38948587
BT - J Family Med Prim Care
C5 - HIT & Telehealth; Healthcare Disparities
CP - 5
DA - May
DO - 10.4103/jfmpc.jfmpc_1493_23
DP - NLM
ET - 20240524
IS - 5
JF - J Family Med Prim Care
LA - eng
N2 - CONTEXT AND AIMS: In the United States, access to evidence-based behavioral health treatment remains limited, contributing to inadequate treatment for individuals with depression and anxiety disorders. The Collaborative care model (CoCM), the integration of behavioral healthcare into primary care, has been shown to be effective in addressing this issue, particularly when delivered virtually through telehealth platforms. While collaborative care has been shown to be effective, little has been studied to understand the impact of patient treatment factors on patient improvement. This study aims to analyze factors associated with patient improvement, measured by PHQ-9 and GAD-7 score changes, in patients with depression and anxiety disorders from Concert Health, a national behavioral medical group offering collaborative care across 18 states. METHODS AND MATERIAL: Stepwise logistic regression models were utilized to identify factors influencing patient improvement in standardized symptom screener scores (PHQ-9 and GAD-7). Relevant patient-level data, including demographics, clinical engagement, insurance type, clinical touchpoints, and other variables, were analyzed. Results are presented as odds ratios (ORs). RESULTS AND CONCLUSIONS: We find that increased clinical touchpoints were associated with improved outcomes in both depression (PHQ-9) and anxiety (GAD-7) populations. Commercial insurance was linked to a greater likelihood of improvement relative to Medicaid, and the use of C-SSRS suicide screeners had varied effects on patient outcomes depending on the diagnosis. The duration of time spent in appointments showed a nuanced impact, suggesting an optimal length for touchpoints. Psychiatric consults also impact patient outcomes in both populations. This study sheds light on factors influencing patient outcomes in virtual collaborative care for depression and anxiety disorders, which may be used to inform and motivate further research and allow providers to better optimize and understand the impacts of treatment choices in collaborative care settings.
PY - 2024
SN - 2249-4863 (Print); 2249-4863
SP - 1968
EP - 1974+
ST - Factors influencing virtual collaborative care outcomes for depression and anxiety
T1 - Factors influencing virtual collaborative care outcomes for depression and anxiety
T2 - J Family Med Prim Care
TI - Factors influencing virtual collaborative care outcomes for depression and anxiety
U1 - HIT & Telehealth; Healthcare Disparities
U3 - 10.4103/jfmpc.jfmpc_1493_23
VL - 13
VO - 2249-4863 (Print); 2249-4863
Y1 - 2024
ER -