Literature Collection

IMPORTANCE: Alcohol withdrawal syndrome (AWS) is an important cause and complication of hospitalizations. Although common and preventable, the incidence of AWS during hospitalizations is poorly described. OBJECTIVE: To evaluate the incidence and proportional incidence of hospitalizations involving AWS in an adult primary care population overall and across patient characteristics. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used electronic health records and insurance claims from Kaiser Permanente Washington (KPWA) between July 1, 2018, and June 30, 2022. The study included adults with 1 or more primary care visits during this period or the year prior, where primary care included annual standardized alcohol screening using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). EXPOSURES: Age, sex, race, Hispanic ethnicity, AUDIT-C scores, and comorbid diagnoses. MAIN OUTCOME AND MEASURES: Hospitalizations involving AWS were defined by diagnosis codes documented during hospitalizations (incidence numerator). Time enrolled in KPWA determined person-enrolled-years (incidence denominator). Proportional incidence was calculated as the incidence of hospitalizations involving AWS divided by the incidence of all-cause hospitalizations. Proportional incidence was also estimated for hospitalizations involving other common chronic conditions (chronic obstructive pulmonary disease, diabetes, heart failure, and hypertension), which were also defined using hospital diagnosis codes. RESULTS: Among 544 825 adults engaged in primary care (mean [SD] age, 47.0 [17.9] years; 310 069 [56.9%] female; 3656 [0.7%] American Indian or Alaska Native, 55 206 [10.1%] Asian, 25 406 [4.7%] Black, 5204 [1.0%] Native Hawaiian or Other Pacific Islander, 365 780 [67.1%] White, 19 791 [3.6%] multiracial, 15 963 [2.9%] other races, and 53 819 [9.9%] unknown race; 33 987 [6.2%] Hispanic, 414 269 [76.0%] not Hispanic, and 96 569 [17.7%] unknown ethnicity), incidence of hospitalizations involving AWS was 169 (95% CI, 159-179) per 100 000 person-enrolled-years overall but as high as 15 347 (95% CI, 13 502-17 331) in patients with other alcohol-attributable diagnoses. The proportional incidence of hospitalizations involving AWS was 2.3% overall, with variation by age, sex, and AUDIT-C scores (eg, 9%-11% in male patients aged 30-49 years and 23%-44% in patients with high-risk AUDIT-C scores of 7-12 points). In most cases, among adults younger than 60 years, proportional incidence of hospitalizations involving AWS matched or surpassed that of other common chronic conditions (chronic obstructive pulmonary disease, diabetes, heart failure, and hypertension). CONCLUSIONS AND RELEVANCE: In this cohort study of a large primary care population served by an integrated health system, AWS hospitalizations were common, especially in male patients, younger age groups, and individuals with high-risk alcohol use. During hospitalizations, the burden of AWS was similar to or exceeded complications of other chronic diseases that receive greater medical attention.

ObjectiveThis research aims to investigate the relapse rates of major depressive disorder (MDD) within primary care and evaluate the efficacy of relapse prevention therapies. Despite primary care being the common point of contact for MDD patients, there are limited studies around this.MethodsWe included randomized controlled trials and observational studies examining MDD relapse incidence and the effect of pharmacological and non-pharmacological interventions in preventing relapse in primary care. Databases; Medline via Ovid, EMBASE, The Cochrane Library, PsycInfo (ebsco), and Clinical Trials.gov were searched from their inception until September 7, 2022. Joanna Briggs Institute (JBI) appraisal instrument for methodological quality assessment was used. A proportional data analysis estimated the MDD relapse incidence. Therapy effectiveness results were shown as odds ratios with 95% confidence intervals, with heterogeneity explored via subgroup analysis.ResultsOut of the reviewed studies, 35 met the eligibility criteria. Quality appraisal scores varied between 73% and 96%. MDD relapse incidence was divided into subgroups, revealing that both pharmacotherapy and non-pharmacotherapy led to a similar decrease in relapse rates with combination therapies showing further reduction in relapse. Subgroup analyses by study design, follow-up length, date of study and quality of study also yielded noteworthy findings.ConclusionOur findings showed that MDD relapse rates in primary care settings can be effectively reduced by pharmacotherapy, non-pharmacotherapy, or combination therapy. Some psychological interventions might also reduce relapse likelihood. More studies are needed on individual and combined treatments over longer periods to understand their long-term impacts on MDD relapse in primary care.Plain Language Summary TitleHow Often Depression Returns and How Well Treatments Work in Primary Care: A Review of Studies.; This study looked at how often people depression experience return of symptoms, when they are treated in primary care settings, such as family doctor clinics, and how well different treatments work to prevent this return of symptoms. Even though primary care is where many people with depression first seek help, there hasn't been much research on how to best prevent this return of symptoms in this setting. To gather information, the study looked at and summarized the studies that were published around this topic following a standard procedure. The study found that both medication and non-medication treatments were beneficial in reducing the chances of return of depression symptoms. Furthermore, using a combination of treatments was even more beneficial. The study also found interesting results when looking at different factors like the type of study and follow-up duration. In conclusion, this study suggests that various treatment options can effectively reduce return of depression symptoms in primary care. This includes medications, psychological therapies, or a combination of both. However, more research is needed to better understand how these treatments work over longer periods and their long-term effects people with depression.; eng

STUDY OBJECTIVE: Naloxone, an opioid-antagonist deliverable by an intra-nasal route, has become widely available and utilized by law enforcement officers as well as basic life support (BLS) providers in the prehospital setting. This study aimed to determine the frequency of repeat naloxone dosing in suspected narcotic overdose (OD) patients and identify patient characteristics. METHODS: A retrospective chart review of patients over 17 years of age with suspected opioid overdose, treated with an initial intranasal (IN) dose of naloxone and subsequently managed by paramedics, was performed from April 2014 to June 2016. Demographic data was analyzed using descriptive statistics to identify those aspects of the history, physical exam findings. Results: A sample size of 2166 patients with suspected opioid OD received naloxone from first responders. No patients who achieved GCS 15 after treatment required redosing; 195 (9%) received two doses and 53 patients received three doses of naloxone by advanced life support. Patients were primarily male (75.4%), Caucasian (88.2%), with a mean age of 36.4 years. A total of 76.7% of patients were found in the home, 23.1% had a suspected mixed ingestion, and 27.2% had a previous OD. Two percent of all patients required a third dose of naloxone. CONCLUSION: In this prehospital study, we confirmed that intranasal naloxone is effective in reversing suspected opioid toxicity. Nine percent of patients required two or more doses of naloxone to achieve clinical reversal of suspected opioid toxicity. Two percent of patients received a third dose of naloxone.

OBJECTIVES: Despite early evidence of effectiveness, cost-savings, and resource optimization, mobile integrated health (MIH) programs have not been widely implemented in the United States. System, community, and organizational-level barriers often hinder evidence-based public health interventions, such as MIH programs, from being broadly adopted into real-world clinical practice. The objective of this study is to identify solutions to the barriers impeding the implementation of MIH through interviews with multilevel stakeholders. METHODS: Using the CENTERing multi-level partner voices in Implementation Theory methodology, the study team recruited stakeholders to participate in semi-structured interviews that were recorded, transcribed, and open-coded. Stakeholders were asked to explore and propose solutions to established barriers to the implementation of MIH programs including poor understanding of the role of MIH, the absence of sustainable reimbursement for MIH programs, and its disruption of existing clinical workflows. The study team used the Consolidated Framework for Implementation Research to develop an interview guide and codebook. Coders employed a combination of deductive and inductive coding strategies to identify common themes related to pragmatic solutions for overcoming barriers to the adoption of MIH. RESULTS: Interviews with Department of Public Health officials, medical directors of MIH programs, non-physician MIH program leaders, community paramedics, health insurance officials, ambulatory physicians, hospital administrators, and hospital contract specialists (n = 18) elicited solutions to address barriers including (1) Developing a consistent identity for the MIH paradigm, (2) adopting an interdisciplinary approach to the development of efficient MIH workflows that utilize informatics to mimic existing clinical work, and (3) implementing capitated fee schedules that are cost-effective by targeting high-risk populations that are already a priority for payors. CONCLUSIONS: An investigation of solutions to barriers that impede the translation of MIH models into sustainable practice elicited several unifying themes including the establishment of a cohesive identity for MIH to improve engagement and dissemination, the use of a strategic approach to program design that aligns with existing healthcare delivery workflows and collaboration with payors to promote a robust reimbursement structure. These findings may help accelerate the implementation of MIH programs into real clinical practice.

BACKGROUND: Our study examined health care utilization outcomes among individuals participating in Pathways, a community hub model that employs a community-based workforce to deliver care coordination services, in Southwest Washington. METHODS: Using community health record and Medicaid claims data between August 2018 and August 2022, we defined our treatment group as Medicaid beneficiaries enrolled in Pathways (N = 395), and our control group as Medicaid beneficiaries referred to any care coordination program (N = 198). We employed difference-in-differences analyses to compare the change over time in the proportion of individuals using care and the amount of health care used per member per year (PMPY). RESULTS: Relative to the control group, the treatment group experienced a significant increase in connection to outpatient care, with a higher proportion accessing primary (9.6%, P = .073), specialty (12.8%, P = .033), and outpatient mental health (11.8%, P = .031) care after enrollment in Pathways. We also observed encouraging trends in acute care use. CONCLUSIONS: Participation in Pathways was associated with connection to outpatient health care and promising decreases in acute care use among Pathways participants. Our findings support the evidence base for Pathways as an effective model of care coordination for people with complex health and social needs.