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These Annals of Internal Medicine results only contain recent articles.

Where Are All the Specialists? Current Challenges of Integrating Specialty Care Into Population-Based Total Cost of Care Payment Models

The Centers for Medicare & Medicaid Services Innovation Center (CMMI) has set the goal for 100% of traditional Medicare beneficiaries to be part of an accountable care relationship by 2030. Lack of meaningful financial incentives, intolerable or unpredictable risk, infrastructure costs, patient engagement, voluntary participation, and operational complexity have been noted by the provider and health care delivery community as barriers to participation or reasons for exiting programs. In addition, most piloted and implemented population-based total cost of care (PB-TCOC) payment models have focused on the role of the primary care physician being the accountability (that is, attributable) leader of a patient’s multifaceted care team as well as acting as the mayor of the “medical neighborhood,” leaving the role of specialty care physicians undefined. Successful provider specialist integration into PB-TCOC models includes meaningful participation of specialists in achieving whole-person, high-value care where all providers are financially motivated to participate; there is unambiguous prospective attribution and clearly defined accountability for each participating party throughout the care journey or episode; there is a known care attribution transition accountability plan; there is actionable, transparent, and timely data available with appropriate data development and basic analytic costs covered; and there is advanced payment to the accountable person or entity for management of the care episode that is part of a longitudinal care plan. Payment models should be created to address the 7 challenges raised here if specialists are to be incented to join TCOC models that achieve CMMI’s goal.

Trends in U.S. Medical Cannabis Registrations, Authorizing Clinicians, and Reasons for Use From 2020 to 2022

Background: As medical cannabis availability increases, up-to-date trends in medical cannabis licensure can inform clinical policy and care. Objective: To describe current trends in medical cannabis licensure in the United States. Design: Ecological study with repeated measures. Setting: Publicly available state registry data from 2020 to 2022. Participants: People with medical cannabis licenses and clinicians authorizing cannabis licenses in the United States. Measurements: Total patient volume and prevalence per 10 000 persons in the total population, symptoms or conditions qualifying patients for licensure (that is, patient-reported qualifying conditions), and number of authorizing clinicians. Results: In 2022, of 39 jurisdictions allowing medical cannabis use, 34 reported patient numbers, 19 reported patient-reported qualifying conditions, and 29 reported authorizing clinician numbers. Enrolled patients increased 33.3% from 2020 (3 099 096) to 2022 (4 132 098), with a corresponding 23.0% increase in the population prevalence of patients (175.0 per 10 000 in 2020 to 215.2 per 10 000 in 2022). However, 13 of 15 jurisdictions with nonmedical adult-use laws had decreased enrollment from 2020 to 2022. The proportion of patient-reported qualifying conditions with substantial or conclusive evidence of therapeutic value decreased from 70.4% (2020) to 53.8% (2022). Chronic pain was the most common patient-reported qualifying condition in 2022 (48.4%), followed by anxiety (14.2%) and posttraumatic stress disorder (13.0%). In 2022, the United States had 29 500 authorizing clinicians (7.7 per 1000 patients), 53.5% of whom were physicians. The most common specialties reported were internal or family medicine (63.4%), physical medicine and rehabilitation (9.1%), and anesthesia or pain (7.9%). Limitation: Missing data (for example, from California), descriptive analysis, lack of information on individual use patterns, and changing evidence base. Conclusion: Enrollment in medical cannabis programs increased overall but generally decreased in jurisdictions with nonmedical adult-use laws. Use for conditions or symptoms without a strong evidence basis continues to increase. Given these trends, more research is needed to better understand the risks and benefits of medical cannabis. Primary Funding Source: National Institute on Drug Abuse of the National Institutes of Health.

The Management of Posttraumatic Stress Disorder and Acute Stress Disorder: Synopsis of the 2023 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline

Description: The U.S. Department of Veterans Affairs (VA) and Department of Defense (DoD) worked together to revise the 2017 VA/DoD Clinical Practice Guideline for the Management of Posttraumatic Stress Disorder and Acute Stress Disorder. This article summarizes the 2023 clinical practice guideline (CPG) and its development process, focusing on assessments and treatments for which evidence was sufficient to support a recommendation for or against. Methods: Subject experts from both departments developed 12 key questions and reviewed the published literature after a systematic search using the PICOTS (population, intervention, comparator, outcomes, timing of outcomes measurement, and setting) method. The evidence was then evaluated using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) method. Recommendations were made after consensus was reached; they were based on quality and strength of evidence and informed by other factors, including feasibility and patient perspectives. Once the draft was peer reviewed by an external group of experts and their inputs were incorporated, the final document was completed. Recommendations: The revised CPG includes 34 recommendations in the following 5 topic areas: assessment and diagnosis, prevention, treatment, treatment of nightmares, and treatment of posttraumatic stress disorder (PTSD) with co-occurring conditions. Six recommendations on PTSD treatment were rated as strong. The CPG recommends use of specific manualized psychotherapies over pharmacotherapy; prolonged exposure, cognitive processing therapy, or eye movement desensitization and reprocessing psychotherapy; paroxetine, sertraline, or venlafaxine; and secure video teleconferencing to deliver recommended psychotherapy when that therapy has been validated for use with video teleconferencing or when other options are unavailable. The CPG also recommends against use of benzodiazepines, cannabis, or cannabis-derived products. Providers are encouraged to use this guideline to support evidence-based, patient-centered care and shared decision making to optimize individuals’ health outcomes and quality of life.

Effect of Acupuncture on Neurogenic Claudication Among Patients With Degenerative Lumbar Spinal Stenosis: A Randomized Clinical Trial: Annals of Internal Medicine: Vol 177, No 8

Background: Acupuncture may improve degenerative lumbar spinal stenosis (DLSS), but evidence is insufficient. Objective: To investigate the effect of acupuncture for DLSS. Design: Multicenter randomized clinical trial. (ClinicalTrials.gov: NCT03784729) Setting: 5 hospitals in China. Participants: Patients with DLSS and predominantly neurogenic claudication pain symptoms. Intervention: 18 sessions of acupuncture or sham acupuncture (SA) over 6 weeks, with 24-week follow-up after treatment. Measurements: The primary outcome was change from baseline in the modified Roland–Morris Disability Questionnaire ([RMDQ] score range, 0 to 24; minimal clinically important difference [MCID], 2 to 3). Secondary outcomes were the proportion of participants achieving minimal (30% reduction from baseline) and substantial (50% reduction from baseline) clinically meaningful improvement per the modified RMDQ. Results: A total of 196 participants (98 in each group) were enrolled. The mean modified RMDQ score was 12.6 (95% CI, 11.8 to 13.4) in the acupuncture group and 12.7 (CI, 12.0 to 13.3) in the SA group at baseline, and decreased to 8.1 (CI, 7.1 to 9.1) and 9.5 (CI, 8.6 to 10.4) at 6 weeks, with an adjusted difference in mean change of –1.3 (CI, –2.6 to –0.03; P = 0.044), indicating a 43.3% greater improvement compared with SA. The between-group difference in the proportion of participants achieving minimal and substantial clinically meaningful improvement was 16.0% (CI, 1.6% to 30.4%) and 12.6% (CI, –1.0% to 26.2%) at 6 weeks. Three cases of treatment-related adverse events were reported in the acupuncture group, and 3 were reported in the SA group. All events were mild and transient. Limitation: The SA could produce physiologic effects. Conclusion: Acupuncture may relieve pain-specific disability among patients with DLSS and predominantly neurogenic claudication pain symptoms, although the difference with SA did not reach MCID. The effects may last 24 weeks after 6-week treatment. Primary Funding Source: 2019 National Administration of Traditional Chinese Medicine “Project of building evidence-based practice capacity for TCM-Project BEBPC-TCM” (NO. 2019XZZX-ZJ).

Effect of Acupuncture for Methadone Reduction: A Randomized Clinical Trial: Annals of Internal Medicine: Vol 177, No 8

Background: Methadone maintenance treatment (MMT) is effective for managing opioid use disorder, but adverse effects mean that optimal therapy occurs with the lowest dose that controls opioid craving. Objective: To assess the efficacy of acupuncture versus sham acupuncture on methadone dose reduction. Design: Multicenter, 2-group, randomized, sham-controlled trial. (Chinese Clinical Trial Registry: ChiCTR2200058123) Setting: 6 MMT clinics in China. Participants: Adults aged 65 years or younger with opioid use disorder who attended clinic daily and had been using MMT for at least 6 weeks. Intervention: Acupuncture or sham acupuncture 3 times a week for 8 weeks. Measurements: The 2 primary outcomes were the proportion of participants who achieved a reduction in methadone dose of 20% or more compared with baseline and opioid craving, which was measured by the change from baseline on a 100-mm visual analogue scale (VAS). Results: Of 118 eligible participants, 60 were randomly assigned to acupuncture and 58 were randomly assigned to sham acupuncture (2 did not receive acupuncture). At week 8, more patients reduced their methadone dose 20% or more with acupuncture than with sham acupuncture (37 [62%] vs. 16 [29%]; risk difference, 32% [97.5% CI, 13% to 52%]; P < 0.001). In addition, acupuncture was more effective in decreasing opioid craving than sham acupuncture with a mean difference of −11.7 mm VAS (CI, −18.7 to −4.8 mm; P < 0.001). No serious adverse events occurred. There were no notable differences between study groups when participants were asked which type of acupuncture they received. Limitation: Fixed acupuncture protocol limited personalization and only 12 weeks of follow-up after stopping acupuncture. Conclusion: Eight weeks of acupuncture were superior to sham acupuncture in reducing methadone dose and decreasing opioid craving. Primary Funding Source: National Natural Science Foundation of China.

Respectful Maternity Care: A Systematic Review: Annals of Internal Medicine: Vol 177, No 1

Background: Severe maternal morbidity and mortality are worse in the United States than in all similar countries, with the greatest effect on Black women. Emerging research suggests that disrespectful care during childbirth contributes to this problem. Purpose: To conduct a systematic review on definitions and valid measurements of respectful maternity care (RMC), its effectiveness for improving maternal and infant health outcomes for those who are pregnant and postpartum, and strategies for implementation. Data Sources: Systematic searches of Ovid Medline, CINAHL, Embase, Cochrane Central Register of Controlled Trials, PsycInfo, and SocINDEX for English-language studies (inception to July 2023). Study Selection: Randomized controlled trials and nonrandomized studies of interventions of RMC versus usual care for effectiveness studies; additional qualitative and noncomparative validation studies for definitions and measurement studies. Data Extraction: Dual data abstraction and quality assessment using established methods, with resolution of disagreements through consensus. Data Synthesis: Thirty-seven studies were included across all questions, of which 1 provided insufficient evidence on the effectiveness of RMC to improve maternal outcomes and none studied RMC to improve infant outcomes. To define RMC, authors identified 12 RMC frameworks, from which 2 main concepts were identified: disrespect and abuse and rights-based frameworks. Disrespect and abuse components focused on recognizing birth mistreatment; rights-based frameworks incorporated aspects of reproductive justice, human rights, and antiracism. Five overlapping framework themes include freedom from abuse, consent, privacy, dignity, communication, safety, and justice. Twelve tools to measure RMC were validated in 24 studies on content validity, construct validity, and internal consistency, but lack of a gold standard limited evaluation of criterion validity. Three tools specific for RMC had at least 1 study demonstrating consistency internally and with an intended construct relevant to U.S. settings, but no single tool stands out as the best measure of RMC. Limitations: No studies evaluated other health outcomes or RMC implementation strategies. The lack of definition and gold standard limit evaluation of RMC tools. Conclusion: Frameworks for RMC are well described but vary in their definitions. Tools to measure RMC demonstrate consistency but lack a gold standard, requiring further evaluation before implementation in U.S. settings. Evidence is lacking on the effectiveness of implementing RMC to improve any maternal or infant health outcome. Primary Funding Source: Agency for Healthcare Research and Quality. (PROSPERO: CRD42023394769)

Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs: A Risk Prediction Study: Annals of Internal Medicine: Vol 177, No 4

Background: Guidelines for primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend a risk calculator (ASCVD risk score) to estimate 10-year risk for major adverse cardiovascular events (MACE). Because the necessary inputs are often missing, complementary approaches for opportunistic risk assessment are desirable. Objective: To develop and test a deep-learning model (CXR CVD-Risk) that estimates 10-year risk for MACE from a routine chest radiograph (CXR) and compare its performance with that of the traditional ASCVD risk score for implications for statin eligibility. Design: Risk prediction study. Setting: Outpatients potentially eligible for primary cardiovascular prevention. Participants: The CXR CVD-Risk model was developed using data from a cancer screening trial. It was externally validated in 8869 outpatients with unknown ASCVD risk because of missing inputs to calculate the ASCVD risk score and in 2132 outpatients with known risk whose ASCVD risk score could be calculated. Measurements: 10-year MACE predicted by CXR CVD-Risk versus the ASCVD risk score. Results: Among 8869 outpatients with unknown ASCVD risk, those with a risk of 7.5% or higher as predicted by CXR CVD-Risk had higher 10-year risk for MACE after adjustment for risk factors (adjusted hazard ratio [HR], 1.73 [95% CI, 1.47 to 2.03]). In the additional 2132 outpatients with known ASCVD risk, CXR CVD-Risk predicted MACE beyond the traditional ASCVD risk score (adjusted HR, 1.88 [CI, 1.24 to 2.85]). Limitation: Retrospective study design using electronic medical records. Conclusion: On the basis of a single CXR, CXR CVD-Risk predicts 10-year MACE beyond the clinical standard and may help identify individuals at high risk whose ASCVD risk score cannot be calculated because of missing data. Primary Funding Source: None.

Effectiveness of Existing Insomnia Therapies for Patients Undergoing Hemodialysis: A Randomized Clinical Trial: Annals of Internal Medicine: Vol 177, No 2

Background: Chronic insomnia is common in patients undergoing in-center hemodialysis, yet there is limited evidence on effective treatments for this population. Objective: To compare the effectiveness of cognitive behavioral therapy for insomnia (CBT-I), trazodone, and placebo for insomnia in patients undergoing long-term hemodialysis. Design: Randomized, multicenter, double-blinded, placebo-controlled trial. (ClinicalTrials.gov: NCT03534284) Setting: 26 dialysis units in Albuquerque, New Mexico, and Seattle, Washington. Participants: Patients with Insomnia Severity Index (ISI) score of 10 or greater, with sleep disturbances on 3 or more nights per week for 3 or more months. Intervention: Participants were randomly assigned to 6 weeks of CBT-I, trazodone, or placebo. Measurements: The primary outcome was the ISI score at 7 and 25 weeks from randomization. Results: A total of 923 patients were prescreened, and of the 411 patients with chronic insomnia, 126 were randomly assigned to CBT-I (n = 43), trazodone (n = 42), or placebo (n = 41). The change in ISI scores from baseline to 7 weeks with CBT-I or trazodone was no different from placebo: CBT-I, −3.7 (95% CI, −5.5 to −1.9); trazodone, −4.2 (CI, −5.9 to −2.4); and placebo, −3.1 (CI, −4.9 to −1.3). There was no meaningful change in ISI scores from baseline to 25 weeks: CBT-I, −4.8 (CI, −7.0 to −2.7); trazodone, −4.0 (CI, −6.0 to −1.9); and placebo, −4.3 (CI, −6.4 to −2.2). Serious adverse events (SAEs), particularly serious cardiovascular events, were more frequent with trazodone (annualized cardiovascular SAE incidence rates: CBT-I, 0.05 [CI, 0.00 to 0.29]; trazodone, 0.64 [CI, 0.34 to 1.10]; and placebo, 0.21 [CI, 0.06 to 0.53]). Limitation: Modest sample size and most participants had mild or moderate insomnia. Conclusion: In patients undergoing hemodialysis with mild or moderate chronic insomnia, there was no difference in the effectiveness of 6 weeks of CBT-I or trazodone compared with placebo. The incidence of SAEs was higher with trazodone. Primary Funding Source: National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases.

Clinical Effectiveness of Cognitively Enhanced Tai Ji Quan Training on Global Cognition and Dual-Task Performance During Walking in Older Adults With Mild Cognitive Impairment or Self-Reported Memory Concerns: A Randomized Controlled Trial: Annals of Internal Medicine: Vol 176, No 11

Background: Mild cognitive impairment (MCI) negatively impacts cognition and dual-task abilities. A physical–cognitive integrated treatment approach could mitigate this risk for dementia. Objective: To compare the effectiveness of cognitively enhanced tai ji quan versus standard tai ji quan or stretching exercise in improving global cognition and reducing dual-task walking costs in older adults with MCI or self-reported memory concerns. Design: 3-group, randomized (1:1:1), superiority trial. (ClinicalTrials.gov: NCT04070703) Setting: Community residential homes. Participants: 318 older adults with self-reported memory decline or concern and a Clinical Dementia Rating (CDR) global score of 0.5 or lower at baseline. Intervention: Cognitively enhanced tai ji quan (n = 105), standard tai ji quan (n = 107), or stretching (n = 106). All groups exercised at home via real-time videoconferencing, 1 hour semiweekly for 24 weeks. Measurements: The co–primary endpoints were change in Montreal Cognitive Assessment (MoCA; range, 0 to 30) and dual-task walking costs (difference between single- and dual-task gait speed, expressed in percentage) from baseline to 24 weeks. Secondary outcomes included CDR–Sum of Boxes (CDR-SB), Trail Making Test B, Digit Span Backward (DSB), and physical performance tests. Outcomes were assessed at 16, 24 (primary endpoint), and 48 weeks (6 months after intervention). Results: A total of 304 participants (96%) completed the 24-week assessment. Cognitively enhanced tai ji quan outperformed standard tai ji quan and stretching with a greater improvement in MoCA score (mean difference, 1.5 points [98.75% CI, 0.7 to 2.2 points] and 2.8 points [CI, 2.1 to 3.6 points], respectively) and in dual-task walking (mean difference, 9.9% [CI, 2.8% to 16.6%] and 22% [CI, 13% to 31%], respectively). The intervention effects persisted at 48-week follow-up. Limitation: There was no nonexercise control group; participants had subjective or mild cognitive impairment. Conclusion: Among community-dwelling older adults with MCI, cognitively enriched tai ji quan therapy was superior to standard tai ji quan and stretching exercise in improving global cognition and reducing dual-task gait interference, with outcomes sustained at 48 weeks. Primary Funding Source: National Institute on Aging.