Interview with Lydia Groves

An interview with Lydia Groves regarding her experiences in a one-room school house.https://scholars.fhsu.edu/ors/1063/thumbnail.jp

Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review

BackgroundIn the era of digital health information technology, there has been a proliferation of devices that collect patient-generated health data (PGHD), including consumer blood pressure (BP) monitors. Despite their widespread use, it remains unclear whether such devices can improve health outcomes. ObjectiveWe performed a systematic review of the literature on consumer BP monitors that collect PGHD for managing hypertension to summarize their clinical impact on health and surrogate outcomes. We focused particularly on studies designed to measure the specific effect of using a BP monitor independent of cointerventions. We have also summarized the process and consumer experience outcomes. MethodsAn information specialist searched PubMed, MEDLINE, and Embase for controlled studies on consumer BP monitors published up to May 12, 2020. We assessed the risk of bias using an adapted 9-item appraisal tool and performed a narrative synthesis of the results. ResultsWe identified 41 different types of BP monitors used in 49 studies included for review. Device engineers judged that 38 (92%) of those devices were similar to the currently available consumer BP monitors. The median sample size was 222 (IQR 101-416) participants, and the median length of follow-up was 6 (IQR 3-12) months. Of the included studies, 18 (36%) were designed to isolate the clinical effects of BP monitors; 6 of the 18 (33%) studies evaluated health outcomes (eg, mortality, hospitalizations, and quality of life), and data on those outcomes were unclear. The lack of clarity was due to low event rates, short follow-up duration, and risk of bias. All 18 studies that isolated the effect of BP monitors measured both systolic and diastolic BP and generally demonstrated a decrease of 2 to 4 mm Hg in systolic BP and 1 to 3 mm Hg in diastolic BP compared with non–BP monitor groups. Adherence to using consumer BP monitors ranged from 38% to 89%, and ease of use and satisfaction ratings were generally high. Adverse events were infrequent, but there were a few technical problems with devices (eg, incorrect device alerts). ConclusionsOverall, BP monitors offer small benefits in terms of BP reduction; however, the health impact of these devices continues to remain unclear. Future studies are needed to examine the effectiveness of BP monitors that transmit data to health care providers. Additional data from implementation studies may help determine which components are critical for sustained BP improvement, which in turn may improve prescription decisions by clinicians and coverage decisions by policy makers

Screening for Adolescent Alcohol Use in the Emergency Department: What Does It Tell Us About Cannabis, Tobacco, and Other Drug Use?

BackgroundThe pediatric emergency department (PED) represents an opportune time for alcohol and drug screening. The National Institute of Alcohol Abuse and Alcoholism (NIAAA) recommends a two-question alcohol screen for adolescents as a predictor of alcohol and drug misuse.ObjectiveA multi-site PED study was conducted to determine the association between the NIAAA two-question alcohol screen and adolescent cannabis use disorders (CUD), cigarette smoking, and lifetime use of other drugs.MethodsParticipants included 12-17-year olds (n = 4834) treated in one of 16 participating PEDs. An assessment battery, including the NIAAA two-question screen and other measures of alcohol, tobacco and drug use, was self-administered on a tablet computer.ResultsA diagnosis of CUD, lifetime tobacco use or lifetime drug use was predicted by any self-reported alcohol use in the past year, which indicates a classification of moderate risk for middle school ages and low risk for high school ages on the NIAAA two-question screen. Drinking was most strongly predictive of a CUD, somewhat weaker for lifetime tobacco use, and weakest for lifetime drug use. This same pattern held for high school and middle school students and was stronger for high school students over middle school students for all three categories. This association was also found across gender, ethnicity and race. The association was strongest for CUD for high school students, sensitivity 81.7% (95% CI, 77.0, 86.5) and specificity 70.4% (95% CI, 68.6, 72.1). Conclusions/Importance: A single question about past year alcohol use can provide valuable information about other substance use, particularly marijuana

Predictive Validity of a 2-Question Alcohol Screen at 1-, 2-, and 3-Year Follow-up.

The National Institute on Alcohol Abuse and Alcoholism (NIAAA) 2-question screen is a valid adolescent alcohol screening tool. No studies have examined if this tool predicts future alcohol problems. We conducted a study at 16 pediatric emergency departments to determine the tool's predictive validity for alcohol misuse and alcohol use disorders (AUDs). Participants (N = 4834) completed a baseline assessment battery. A subsample of participants completed the battery at 1, 2, and 3 years follow up. Of the 2209 participants assigned to follow-up, 1611 (73%) completed a 1-year follow-up, 1591 (72%) completed a 2-year follow-up, and 1377 (62%) completed a 3-year follow-up. The differences in AUDs between baseline NIAAA screen nondrinkers and lower-risk drinkers were statistically significant at 1 year (P = .0002), 2 years (P <.0001), and 3 years (P = .0005), as were the differences between moderate- and highest-risk drinkers at 1 and 2 years (P < .0001 and P = .0088, respectively) but not at 3 years (P = .0758). The best combined score for sensitivity (86.2% at 1 year, 75.6% at 2 years, and 60.0% at 3 years) and specificity (78.1% at 1 year, 79.2% at 2 years, and 80.0% at 3 years) was achieved by using "lower risk" and higher as a cutoff for the prediction of a Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition diagnosis. The NIAAA 2-question screen can accurately characterize adolescent risk for future AUDs. Future studies are needed to determine optimaluse of the screen

Reliability and Validity of the Newton Screen for Alcohol and Cannabis Misuse in a Pediatric Emergency Department Sample

ObjectivesTo determine the test-retest reliability, concurrent, convergent, and discriminant validity of a recently devised screen (the Newton screen) for alcohol and cannabis use/misuse, and its predictive validity at follow-up.Study designAdolescents, 12-17 years old (n = 4898), treated in 1 of 16 participating pediatric emergency departments across the US were enrolled in a study as part of a larger study within the Pediatric Emergency Care Applied Research Network. Concurrent and predictive validity (at 1, 2, and 3 years of follow-up) were assessed in a random subsample with a structured Diagnostic and Statistical Manual of Mental Disorders-based interview. Convergent validity was assessed with the Alcohol Use Disorders Identification, a widely used alcohol screening measure.ResultsThe sensitivity of the Newton screen for alcohol use disorder at baseline was 78.3% with a specificity of 93.0%. The cannabis use question had a baseline sensitivity of 93.1% and specificity of 93.5% for cannabis use disorder. Predictive validity analyses at 1, 2, and 3 years revealed high specificity but low sensitivity for alcohol and high specificity and moderate sensitivity for cannabis.ConclusionsThe Newton screening instrument may be an appropriate brief screening tool for use in the busy clinical environment. Specificity was high for both alcohol and cannabis, but sensitivity was higher for cannabis than alcohol. Like other brief screens, more detailed follow-up questions may be necessary to definitively assess substance misuse risk and the need for referral to treatment

Adolescent Alcohol Use Predicts Cannabis Use over A Three Year Follow-Up Period

Background: Alcohol and cannabis use frequently co-occur, which can result in problems from social and academic impairment to dependence (i.e., alcohol use disorder [AUD] and/or cannabis use disorder [CUD]). The Emergency Department (ED) is an excellent site to identify adolescents with alcohol misuse, conduct a brief intervention, and refer to treatment; however, given time constraints, alcohol use may be the only substance assessed due to its common role in unintentional injury. The current study, a secondary data analysis, assessed the relationship between adolescent alcohol and cannabis use by examining the National Institute of Alcohol Abuse and Alcoholism (NIAAA) two question screen's (2QS) ability to predict future CUD at one, two, and three years post-ED visit. Methods: At baseline, data was collected via tablet self-report surveys from medically and behaviorally stable adolescents 12-17 years old (n = 1,689) treated in 16 pediatric EDs for non-life-threatening injury, illness, or mental health condition. Follow-up surveys were completed via telephone or web-based survey. Logistic regression compared CUD diagnosis odds at one, two, or three-year follow-up between levels constituting a single-level change in baseline risk categorization on the NIAAA 2QS (nondrinker versus low-risk, low- versus moderate-risk, moderate- versus high-risk). Receiver operating characteristic curve methods examined the predictive ability of the baseline NIAAA 2QS cut points for CUD at one, two, or three-year follow-up. Results: Adolescents with low alcohol risk had significantly higher rates of CUD versus nondrinkers (OR range: 1.94-2.76, p < .0001). For low and moderate alcohol risk, there was no difference in CUD rates (OR range: 1.00-1.08). CUD rates were higher in adolescents with high alcohol risk versus moderate risk (OR range: 2.39-4.81, p < .05). Conclusions: Even low levels of baseline alcohol use are associated with risk for a later CUD. The NIAAA 2QS is an appropriate assessment measure to gauge risk for future cannabis use