Literature Collection

BACKGROUND: Electronic health record (EHR) transitions can cause major disruptions in the provision of primary care services. Veteran Health Administration (VHA), one of the largest integrated healthcare systems, underwent a major EHR transition at two sites. To date, there is limited data on the experience of primary care service lines at EHR transition sites. OBJECTIVE: To describe and quantify changes in the provision of primary care services at two sites that have experienced EHR transition. DESIGN: We conducted a retrospective study of primary care encounters 12 months before and after EHR transition. In addition, we applied economic structural change analysis using the expanded length of time (10 years of prior primary care encounters at sites) to understand how the transition of EHR compares to other major changes in primary care encounter volume during this time period. DATA SOURCE AND MAIN MEASURE: Primary care encounters were measured using algorithms pre- and post-EHR transition from the national VHA Corporate Data Warehouse (CDW) and Cerner Millennium (CDW2) Databases. KEY RESULTS: In Spokane, the average number of monthly primary care encounters decreased from 7155 (SD = 682) in the 12 months prior to October 2020 (transition date) to 4181 (SD = 813) in the 12 months after implementation, a decrease of 41.6 %. The average number of monthly primary care encounters decreased from 8029 (SD = 511) in the 12 months prior to April 2022 (transition date) to 6495 (SD = 1152) in the 12 months after implementation, a decrease of 19.1 %. The structural change analysis identified EHR transition dates at both sites, including a major decrease in volume of primary care encounters. CONCLUSIONS: Given the substantial decrease in primary care services, VHA must identify strategies to mitigate both the amount and the duration of reduced primary care encounters during the EHR transition.

BACKGROUND: The Affordable Care Act (ACA) aimed to expand mental health service use in the US, by expanding access to health insurance. However, the gap in mental health utilization by race and ethnicity is pronounced: members of racial and ethnic minoritized groups remain less likely to use mental health services than non-Hispanic White individuals even after the ACA. AIMS OF THE STUDY: This study assessed the effect of the Affordable Care Act (ACA) on mental health services use in one large state (California), and whether that effect differed among racial and ethnic groups. Also, it tested for change in racial and ethnic disparities after the implementation of the ACA, using four measures of mental health care. METHODS: Using pooled California Health Interview Survey (CHIS) data from 2011-2018, logistic regression and Generalized Linear Models (GLM) were estimated. Disparities were defined using the Institute of Medicine (IOM) definition. Primary outcomes were any mental health care in primary settings; in specialty settings, any prescription medication for mental health problems, and number of annual visits to mental health services. RESULTS: Findings suggested that the change in Hispanic-non-Hispanic White disparities in prescription medication use under the ACA was statistically significant, narrowing the gap by 7.23 percentage points (p<.05). However, the disparity in other measures was not significantly reduced. DISCUSSION: These findings suggest that the magnitude of the increase in primary and specialty mental health services among racial and ethnic minorities was not large enough to significantly reduce racial and ethnic disparities. One possible explanation is that non-financial factors played a role, such as language barriers, attitudinal barriers from home culture norms, and systemic barriers due to mental health professional shortages and a limited number of mental health care providers of color. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Integrated approaches that coordinate specialty and primary care mental health services may be needed to promote mental healthcare access for members of racial and ethnic minoritized groups. IMPLICATIONS FOR HEALTH POLICIES: Federal and state policies aiming to improve mental health services use have historically given more weight to financial determinants, but this has not been enough to significantly reduce racial/ethnic disparities. Thus, policies should pay more attention to non-financial determinants. IMPLICATIONS FOR FURTHER RESEARCH: Assessing underlying mechanisms of non-financial factors that moderate the effectiveness of the ACA is a worthwhile goal for future research. Future studies should examine the extent to which non-financial factors intervene in the relationship between the implementation of the ACA and mental health services use.

OBJECTIVE: This study aimed to characterize trends in office-based, mental health-related physician visits of children and adolescents. METHODS: This descriptive, repeated cross-sectional study analyzed visits (unweighted N=43,790) of children and adolescents, ages 4-17, in the 2005-2019 waves of the National Ambulatory Medical Care Survey, an annual nationally representative survey of U.S. office-based physician visits. The analysis estimated changes in the proportion of visits involving any psychiatric diagnosis, specific diagnoses, and psychiatric medications. RESULTS: The average yearly number of all pediatric visits fell over the study period, whereas the yearly percentage of visits addressing mental health increased among children and adolescents, from 9.3% in 2005-2011 to 13.6% in 2012-2019. The proportion of primary care physician visits addressing mental health increased by 44.7% across the study period. The increase in psychiatric diagnoses was driven by anxiety disorders, which increased the most among female patients. Psychiatric diagnoses increased by 65.9% in visits with adolescents ages 13-17 and 30.9% in visits with children ages 4-12. The authors detected increases in mental health visits among non-Hispanic White and Hispanic youths but not among non-Hispanic Black youths. No statistically significant changes were found in psychiatric medication prescription or continuation at mental health visits. CONCLUSIONS: Office-based physicians increasingly address mental health concerns, reflecting the increasing demand among children and adolescents. Psychiatric diagnoses at office-based physician visits differ by patients' sex and race-ethnicity. Many primary care physicians provide mental health care, highlighting the need for rigorous mental health training for pediatricians.

BACKGROUND: Patient-centered medical homes are expected to reduce expenditures by increasing the use of primary care services, shifting care from inpatient to outpatient settings, and reducing avoidable utilization. Under the Multi-Payer Advanced Primary Care Practice (MAPCP) Demonstration, Medicare joined Medicaid and commercial payers in 8 states to support ongoing patient-centered medical home initiatives. OBJECTIVE: To evaluate the effects of the MAPCP Demonstration on health care utilization and expenditures for Medicare beneficiaries. RESEARCH DESIGN: We used difference-in-differences regression modeling to estimate changes in utilization and expenditures before and after the start of the MAPCP Demonstration, comparing beneficiaries engaged with MAPCP Demonstration practices to beneficiaries engaged with primary care practices that were not medical homes. Qualitative data collected during annual site visits provided contextual information on participating practices to inform interpretations of the demonstration outcomes. SUBJECTS: Fee-for-service Medicare beneficiaries attributed to MAPCP Demonstration practices or to comparison group practices. MEASURES: Medicare claims were used to measure total Medicare expenditures and utilization and expenditures for inpatient, emergency room, primary care, and specialist services. RESULTS: Despite the transformation of practices over the demonstration period, there was minimal evidence of a shift to more efficient utilization of health care services, and only 1 state saw a statistically significant reduction in total per-beneficiary expenditures. CONCLUSIONS: Although the MAPCP Demonstration did not have strong, consistent impacts on utilization and expenditures, this evaluation provides insights that may be useful for the design of future health care transformation models.