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AbstractBackground:Most states have legalized medical cannabis, yet little is known about how medical cannabis use is documented in patients’ electronic health records (EHRs). We used natural language processing (NLP) to calculate the prevalence of clinician-documented medical cannabis use among adults in an integrated health system in Washington State where medical and recreational use are legal. Methods:We analyzed EHRs of patients ≥18 years old screened for past-year cannabis use (November 1, 2017–October 31, 2018), to identify clinician-documented medical cannabis use. We defined medical use as any documentation of cannabis that was recommended by a clinician or described by the clinician or patient as intended to manage health conditions or symptoms. We developed and applied an NLP system that included NLP-assisted manual review to identify such documentation in encounter notes. Results:Medical cannabis use was documented for 16,684 (5.6%) of 299,597 outpatient encounters with routine screening for cannabis use among 203,489 patients seeing 1,274 clinicians. The validated NLP system identified 54% of documentation and NLP-assisted manual review the remainder. Language documenting reasons for cannabis use included 125 terms indicating medical use, 28 terms indicating non-medical use and 41 ambiguous terms. Implicit documentation of medical use (e.g., “edible THC nightly for lumbar pain”) was more common than explicit (e.g., “continues medicalcannabis use”). Conclusions:Clinicians use diverse and often ambiguous language to document patients’ reasons for cannabis use. Automating extraction of documentation about patients’ cannabis use could facilitate clinical decision support and epidemiological investigation but will require large amounts of gold standard training data.

Background: Responding effectively to a patient request for physician-assisted suicide (PAS) is an important clinical skill that involves careful evaluation. Clinician responses to PAS requests, however, have only been described using data obtained from clinicians. Objective: To describe qualities of clinician-patient interactions about requests for PAS that were valued by patients and their family members. Participants and Methods: Intensive qualitative case study involving multiple longitudinal interviews conducted prospectively with patients pursuing PAS and with their family members and retrospectively with family members of deceased patients who seriously pursued PAS. The study setting was community based. Participants were recruited through patient advocacy organizations, hospices, and grief counselors. A total of 35 cases were studied: 12 were prospective and 23 were retrospective. Study procedures involved semistructured interviews that were audiotaped, transcribed, reviewed, and analyzed by a multidisciplinary research team. Results: Three themes were identified that describe qualities of clinician-patient interactions that were valued by patients and family members: (1) openness to discussions about PAS; (2) clinician expertise in dealing with the dying process; and (3) maintenance of a therapeutic clinician-patient relationship, even when clinician and patient disagree about PAS. Conclusions: These patient and family accounts reveal missed opportunities for clinicians to engage in therapeutic relationships, including discussions about PAS, dying, and end-of-life care. Clinicians responding to patients requesting PAS need communication skills enabling them to discuss PAS and dying openly, as well as expertise in setting reasonable expectations, individualizing pain control, and providing accurate information about the lethal potential of medications.

Provides insights regarding the best ways to implement app-based treatments for alcohol use disorder (AUD) in primary care.Represents the perspectives of a variety of stakeholders including care delivery leaders, clinicians, and implementation staff.Identifies the following recommendations to improve the implementation of digital therapeutics for AUD: (1) plan for high patient volume, (2) support teams during implementation, and (3) account for individual patient needs.

In this article, we examine key dilemmas childbirth educators experienced as they made crucial decisions about the content and format of their classes in the current U.S. maternity-care context. This ethnographic study demonstrates that childbirth education is a cultural phenomenon with deeply embedded values regarding the nature and importance of information, scientific evidence, and consumer choice. Articulating how culture shapes the presentation, content, and format of childbirth classes is an important step in understanding and increasing the relevance of this experience for birthing women.

Drawing on material from fieldwork conducted on the island of Saint Lucia, I examine how Saint Lucian nurse‐midwives and student midwives negotiate multiple ways of understanding and evaluating their practices and roles in light of contradictory and powerful cultural, historical, and political forces. I argue that, although Saint Lucian nurse‐midwives may not qualify as “postmodern” according to the criteria proposed by Davis‐Floyd and Davis (1996), they are nonetheless struggling with postmodern conditions as they negotiate between competing healing ideologies. I illustrate the significance of these negotiations through analyzing: (1) the ways nurse‐midwives understand and articulate the healing ideologies at play in Saint Lucia, (2) historical and ideological aspects of the Saint Lucian nurse‐midwifery training program, and (3) a classroom discussion during which student reported on “bush‐midwives.”

IMPORTANCE: Many people use cannabis for medical reasons despite limited evidence of therapeutic benefit and potential risks. Little is known about medical practitioners’ documentation of medical cannabis use or clinical characteristics of patients with documented medical cannabis use. OBJECTIVES: To estimate the prevalence of past-year medical cannabis use documented in electronic health records (EHRs) and to describe patients with EHR-documented medical cannabis use, EHR-documented cannabis use without evidence of medical use (other cannabis use), and no EHR-documented cannabis use. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study assessed adult primary care patients who completed a cannabis screen during a visit between November 1, 2017, and October 31, 2018, at a large health system that conducts routine cannabis screening in a US state with legal medical and recreational cannabis use. EXPOSURES: Three mutually exclusive categories of EHR-documented cannabis use (medical, other, and no use) based on practitioner documentation of medical cannabis use in the EHR and patient report of past-year cannabis use at screening. MAIN OUTCOMES AND MEASURES: Health conditions for which cannabis use has potential benefits or risks were defined based on National Academies of Sciences, Engineering, and Medicine’s review. The adjusted prevalence of conditions diagnosed in the prior year were estimated across 3 categories of EHR-documented cannabis use with logistic regression. RESULTS: A total of 185?565 patients (mean [SD] age, 52.0 [18.1] years; 59% female, 73% White, 94% non-Hispanic, and 61% commercially insured) were screened for cannabis use in a primary care visit during the study period. Among these patients, 3551 (2%) had EHR-documented medical cannabis use, 36 599 (20%) had EHR-documented other cannabis use, and 145 415 (78%) had no documented cannabis use. Patients with medical cannabis use had a higher prevalence of health conditions for which cannabis has potential benefits (49.8%; 95% CI, 48.3%-51.3%) compared with patients with other cannabis use (39.9%; 95% CI, 39.4%-40.3%) or no cannabis use (40.0%; 95% CI, 39.8%-40.2%). In addition, patients with medical cannabis use had a higher prevalence of health conditions for which cannabis has potential risks (60.7%; 95% CI, 59.0%-62.3%) compared with patients with other cannabis use (50.5%; 95% CI, 50.0%-51.0%) or no cannabis use (42.7%; 95% CI, 42.4%-42.9%). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, primary care patients with documented medical cannabis use had a high prevalence of health conditions for which cannabis use has potential benefits, yet a higher prevalence of conditions with potential risks from cannabis use. These findings suggest that practitioners should be prepared to discuss potential risks and benefits of cannabis use with patients.