Literature Collection

BACKGROUND: Evidence of patterns of medical utilization and distribution of comorbidities among individuals using methamphetamine remains limited. OBJECTIVE: This study aims to investigate changes in medical utilization and comorbidities before and after a diagnosis of methamphetamine use disorder. METHODS: A total of 3321 cases (79% were male) of methamphetamine use disorder between January 1, 1996, and December 31, 2012, were identified from Psychiatric Inpatient Medical Claims database in Taiwan. Information was collected on demographics, diagnoses, and medical utilizations. The date of newly diagnosed with methamphetamine use disorder was defined as the baseline. Mirror-image study design was used to compare changes in medical utilization and comorbidities between the pre-baseline period (within 1 year before diagnosis) and the post-baseline period (within 1 year after diagnosis). Conditional logistic regression was used to estimate changes in medical utilization and comorbidities. RESULTS: Most cases (77%) were first identified in a psychiatric department. There is a significant increase (P < .001) in psychiatric admission (odds ratio[OR] = 2.19), psychiatric emergency visits (OR = 1.31), and psychiatric outpatient visits (OR = 1.15) after diagnosis. Multivariable analysis revealed significantly increased risks (P < .001) of non-methamphetamine drug induced mental disorders (adjusted OR[aOR] = 29.47), schizophrenia (aOR = 2.62), bipolar disorder (aOR = 2.14), organic mental disorder (aOR = 1.82), and upper respiratory tract infection (aOR = 2.03) after diagnosis. CONCLUSIONS: We found significant increases of medical utilization and psychiatric comorbidities after diagnosed with methamphetamine use disorder. These findings may reflect the problem of delayed diagnosis and treatment. Enhancement of early identification of methamphetamine use disorder in general practice is required for early intervention and decreased subsequent morbidities.

An academic health center (AHC) that provides primary care to an urban, underresourced population recognized the need for an integrated model of care to address behavioral health needs. The Ambulatory Integration of the Medical and Social (AIMS) Collaborative Care Model's five pillars provided the framework and enhanced outcomes through tailored initiatives at the AHC, expanding to onsite satellite locations in senior subsidized housing, and through telehealth services. The results showed increased access to behavioral health care and improved depression and anxiety symptoms. (Am J Public Health. 2025; 115(3):296-300. https://doi.org/10.2105/AJPH.2024.307939).

OBJECTIVES: Evidence-based therapies for opioid use disorder (OUD) and chronic pain, such as medications for OUD (MOUD) and complementary and integrative health (CIH; e.g., acupuncture and meditation) therapies, exist. However, their adoption has been slow, particularly in primary care, due to numerous implementation challenges. We sought to expand the use of MOUD and CIH within primary care by using an evidence-based quality improvement (EBQI) implementation strategy. METHODS: We used EBQI to engage two facilities in the Veterans Health Administration (VHA) from June 2018 to September 2019. EBQI included multilevel stakeholder engagement, with external facilitators providing technical support, practice facilitation, and routine data feedback. We established a quality improvement (QI) team at each facility with diverse stakeholders (e.g., primary care, addiction, pain, nursing, pharmacy). We met monthly with regional stakeholders to address implementation barriers. We also convened an advisory board to ensure alignment with national priorities. RESULTS: Pre-implementation interviews indicated facility-level and provider-level barriers to prescribing buprenorphine, including strong primary care provider resistance. Both facilities developed action plans. They both conducted educational meetings (e.g., Grand Rounds, MOUD waiver trainings). Facility A also offered clinical preceptorships for newly trained primary care prescribers. Facility B used mass media and mailings to educate patients about MOUD and CIH options and dashboards to identify potential candidates for MOUD. After 15 months, both facilities increased their OUD treatment rates to the ≥ 90th percentile of VHA medical centers nationally. Exit interviews indicated an attitudinal shift in MOUD delivery in primary care. Stakeholders valued the EBQI process, particularly cross-site collaboration. IMPLICATIONS: Despite initial implementation barriers, we effectively engaged stakeholders using EBQI strategies. Local QI teams used an assortment of QI interventions and developed tools to catapult their facilities to among the highest performers in VHA OUD treatment. IMPACTS: EBQI is an effective strategy to partner with stakeholders to implement MOUD and CIH therapies.

BACKGROUND: Depression adversely affects health outcomes in patients with childhood-onset systemic lupus erythematous (cSLE). By identifying patients with depressive symptoms, we can intervene early with referrals to mental health resources and improve outcomes. The aim of our quality improvement project was to increase and maintain rates of standardized depression screening for youth with cSLE seen within our pediatric rheumatology clinic. METHODS: Patients with cSLE 12 years of age or older seen for routine follow-up at our pediatric rheumatology clinic from September 16, 2019, through December 30, 2022, were offered the Patient Health Questionnaire-9 modified for adolescents (PHQ-A) to screen for depressive symptoms. A multidisciplinary team developed a key driver diagram to plan potential interventions to improve rates of screening. Plan‒Do‒Study‒Act (PDSA) cycles were used to prepare, implement, and evaluate interventions. Notable interventions focused on accurately identifying eligible patients, facilitating bidirectional communication between staff, and integrating and automating screening within the electronic health record (EHR). Statistical process control (SPC) methods were used for data analysis. RESULTS: The percentage of eligible patient encounters where depression screening was completed increased from 0 to 81% and was maintained for more than 6 months. This represents special cause variation, as evidenced by data shifts on our statistical process control chart. Among the 592 patients who completed depression screens, 114 (17%) were positive for moderate to severe symptoms, and 59 (9%) were positive for suicidal ideation (SI). CONCLUSIONS: A high rate of standardized depression screening for youth with cSLE was achieved and maintained via integration and automation within our EHR. Establishing a highly reliable screening system is a critical first step in improving mental health care for this vulnerable population of youth.

Mental health symptoms are common in the general population and are overrepresented in patients receiving palliative care and hospice services. This introduction to the special issue on Mental Health in Palliative Care and Hospice highlights the ongoing need for research and training to prepare our palliative care workforce to address the concerns of patients experiencing serious illness and mental health concerns. Multilevel approaches are needed to enhance understanding of mental health needs among people with serious illness. Public health outreach is needed within our communities, targeted support is needed for family caregivers, and structured training for palliative care and hospice clinicians is needed to enhance competent mental health in these settings.