Comprehensive Cardiovascular Risk Factor Control With a Mobile Health Cardiovascular Risk Self-Management Program.

BACKGROUND: Mobile health technology's impact on cardiovascular risk factor control is not fully understood. This study evaluates the association between interaction with a mobile health application and change in cardiovascular risk factors. METHODS AND RESULTS: Participants with hypertension with or without dyslipidemia enrolled in a workplace-deployed mobile health application-based cardiovascular risk self-management program between January 2018 and December 2022. Retrospective evaluation explored the influence of application engagement on change in blood pressure (BP), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and weight. Multiple regression analyses examined the influence of guideline-based, nonpharmacological lifestyle-based digital coaching on outcomes adjusting for confounders. Of 102 475 participants, 49.1% were women. Median age was 53 (interquartile range, 43-61) years, BP was 134 (interquartile range, 124-144)/84 (interquartile range, 78-91) mm Hg, TC was 183 (interquartile range, 155-212) mg/dL, LDL-C was 106 (82-131) mg/dL, and body mass index was 30 (26-35) kg/m2. At 2 years, participants with baseline systolic BP ≥140 mm Hg reduced systolic BP by 18.6 (SEM, 0.3) mm Hg. At follow up, participants with baseline TC ≥240 mg/dL reduced TC by 65.7 (SEM, 4.6) mg/dL, participants with baseline LDL-C≥160 mg/dL reduced LDL-C by 66.6 (SEM, 6.2) mg/dL, and participants with baseline body mass index ≥30 kg/m2 lost 12.0 (SEM, 0.3) pounds, or 5.1% of body weight. Interaction with digital coaching was associated with greater reduction in all outcomes. CONCLUSIONS: A mobile health application-based cardiovascular risk self-management program was associated with favorable reductions in BP, TC, LDL-C, and weight, highlighting the potential use of this technology in comprehensive cardiovascular risk factor control.

Validity of Methods to Identify Individuals With Lower Extremity Amputation Using Department of Veterans Affairs Electronic Medical Records.

Objectives: To determine the positive predictive value (PPV) of algorithms to identify patients with major (at the ankle or more proximal) lower extremity amputation (LEA) using Department of Veterans Affairs electronic medical records (EMR) and to evaluate whether PPV varies by sex, age, and race. Design: We conducted a validation study comparing EMR determined LEA status to self-reported LEA (criterion standard). Setting: Veterans who receive care at the Department of Veterans Affairs. Participants: We invited a national sample of patients (N=699) with at least 1 procedure or diagnosis code for major LEA to participate. We oversampled women, Black men, and men ≤40 years of age. Interventions: Not applicable. Main Outcome Measure: We calculated PPV estimates and false negative percentages for 7 algorithms using EMR LEA procedure and diagnosis codes relative to self-reported major LEA. Results: A total of 466 veterans self-reported their LEA status (68%). PPVs for the 7 algorithms ranged from 89% to 100%. The algorithm that required a single diagnosis or procedure code had the lowest PPV (89%). The algorithm that required at least 1 procedure code had the highest PPV (100%) but also had the highest proportion of false negatives (66%). Algorithms that required at least 1 procedure code or 2 or more diagnosis codes 1 month to 1 year apart had high PPVs (98%-99%) but varied in terms of false negative percentages. PPV estimates were higher among men than women but did not differ meaningfully by age or race, after accounting for sex. Conclusion: PPVs were higher if 1 procedure or at least 2 diagnosis codes were required; the difference between algorithms was marked by sex. Investigators should consider trade-offs between PPV and false negatives to identify patients with LEA using EMRs.

SAFER brief community intervention: a primary suicide prevention strategy to improve firearm and medication storage behaviour.

OBJECTIVE: To determine if a brief intervention, called Signpost, Assess, Facts, Emotion, Recommend (SAFER), designed to motivate changes in behaviour to secure firearms and medications to prevent future suicide is feasible to implement in community-based settings such as gun shows, acceptable to participants at higher risk for suicide including veterans and men in the middles years (35-64) and improves firearm and medication locking behaviours. METHODS: 1175 people received SAFER over a 12-month period at 18 gun shows and community events in 2019 and completed a preassessment measuring firearms ownership, storage practices, knowledge about suicide as the leading type of firearm fatality and attitudes about suicide prevention. 372 responded to a brief postassessment using comparable measures. RESULTS: 85% of participants reported keeping firearms at home. 43.7% reported current or prior military service. 53.2% were males between the ages of 35 and 64. Among those who responded to the postassessment, 61% of participants reported SAFER to be highly valuable. Safe firearms storage improved among participants who completed the preassessment and postassessment (51.2% pre, 66.0% post; p<0.01) as did safe medication storage (14.8% pre, 21.6% post; p=0.01). Knowledge that most firearm fatalities are suicides (33.4% pre, 45.8% post; p<0.01) also improved. CONCLUSIONS: It is feasible, acceptable and effective to reach groups at elevated risk for suicide using a brief intervention strategy in unconventional settings. Community-based interventions to improve safe storage motivated by suicide prevention messaging should be prioritised because men in the middle years are less likely to use mental health services.