RESUMEN
Most patients with suicide risk do not receive recommendations to reduce access to lethal means due to a variety of barriers (e.g., lack of provider time, training). Determine if highly efficient population-based EHR messaging to visit the Lock to Live (L2L) decision aid impacts patient-reported storage behaviors. Randomized trial. Integrated health care system serving Denver, CO. Served by primary care or mental health specialty clinic in the 75-99.5th risk percentile on a suicide attempt or death prediction model. Lock to Live (L2L) is a web-based decision aid that incorporates patients' values into recommendations for safe storage of lethal means, including firearms and medications. Anonymous survey that determined readiness to change: pre-contemplative (do not believe in safe storage), contemplative (believe in safe storage but not doing it), preparation (planning storage changes) or action (safely storing). There were 21,131 patients randomized over a 6-month period with a 27% survey response rate. Many (44%) had access to a firearm, but most of these (81%) did not use any safe firearm storage behaviors. Intervention patients were more likely to be categorized as preparation or action compared to controls for firearm storage (OR = 1.30 (1.07-1.58)). When examining action alone, there were no group differences. There were no statistically significant differences for any medication storage behaviors. Selection bias in those who responded to survey. Efficiently sending an EHR invitation message to visit L2L encouraged patients with suicide risk to consider safer firearm storage practices, but a stronger intervention is needed to change storage behaviors. Future studies should evaluate whether combining EHR messaging with provider nudges (e.g., brief clinician counseling) changes storage behavior.ClinicalTrials.gov: NCT05288517.
Asunto(s)
Salud Digital , Armas de Fuego , Prevención del Suicidio , Humanos , Consejo , ViolenciaRESUMEN
OBJECTIVE: We measured the frequency of clinicians' assessments for access to lethal means, including firearms and medications in patients at risk of suicide from electronic medical and mental health records in outpatient and emergency settings. METHODS: We included adult patients who reported suicide ideation on the PHQ-9 depression screener in behavioral health and primary care outpatient settings of a large integrated health system in the U.S. and those with suicidal behavior treated in the emergency department. Two separate natural language processing queries were developed on medical record text documentation: (1) assessment for access to firearms (8,994 patients), (2) assessment for access to medications (4,939 patients). RESULTS: Only 35% of patients had documentation of firearm or medication assessment in the month following treatment for suicidal behavior in the emergency setting. Among those reporting suicidal ideation in outpatient setting, 31% had documentation of firearm assessment and 23% for medication assessment. The accuracy of the estimates was very good for firearm assessment (F1 = 89%) and medication assessment in the outpatient setting (F1 = 91%) and fair for medication assessment in the emergency setting (F1 = 70%) due to more varied documentation styles. CONCLUSIONS: Lethal means assessment following report of suicidal ideation or behavior is low in a nonacademic health care setting. Until health systems implement more structured documentation to measure lethal means assessment, such as discrete data field, NLP methods may be used to conduct research and surveillance of this important prevention practice in real-world settings.
Asunto(s)
Armas de Fuego , Ideación Suicida , Adulto , Recolección de Datos , Humanos , Cuestionario de Salud del PacienteRESUMEN
BACKGROUND: Opioid prescribing guidelines recommend reducing or discontinuing opioids for chronic pain if harms of opioid treatment outweigh benefits. As opioid discontinuation becomes more prevalent, it is important to understand whether opioid discontinuation is associated with heroin use. In this study, we sought to assess the association between opioid discontinuation and heroin use documented in the medical record. METHODS: A matched nested case-control study was conducted in an integrated health plan and delivery system in Colorado. Patients receiving opioid therapy in the study period (January 2006-June 2018) were included. Opioid discontinuation was defined as ≥45 days with no opioids dispensed after initiating opioid therapy. The heroin use onset date represented the index date. Case patients were matched to up to 20 randomly selected patients without heroin use (control patients) by age, sex, calendar time, and time between initiating opioid therapy and the index date. Conditional logistic regression models estimated matched odds ratios (mOR) for the association between an opioid discontinuation prior to the index date and heroin use. RESULTS: Among 22,962 patients prescribed opioid therapy, 125 patients (0.54%) used heroin after initiating opioid therapy, of which 74 met criteria for inclusion in the analysis. The odds of opioid discontinuation were approximately two times higher in case patients (n = 74) than control patients (n = 1045; mOR = 2.19; 95% CI 1.27-3.78). CONCLUSIONS: Among patients prescribed chronic opioid therapy, the observed increased risk for heroin use associated with opioid discontinuation should be balanced with potential benefits.