Development and initial reliability and validity of four self-report measures used in research on interactions between police officers and individuals with mental illnesses

There currently exists a dearth of reliable and valid instruments to examine key police officer variables of importance in the growing research on their interactions with individuals with mental illnesses. This study tested reliability and validity of four newly designed measures of the constructs of self-efficacy (Self-Efficacy Scale; SES), referral decisions and de-escalation skills (Behavioral Outcomes Scale; BOS), attitudes toward psychiatric treatment (Opinions about Psychiatric Treatment; OPT), and social distance (Adapted Social Distance Scale; ASDS) in a sample of law enforcement officers. Self-administered, anonymous surveys, which included the measures of interest, were completed by 177 officers—68 of whom were undergoing Crisis Intervention Team (CIT) training and 109 of whom were not—at the beginning and end of week-long trainings. Analyses examined the internal consistency reliability, test-retest reliability, and construct validity of the instruments. The four measures of interest were found to be reliable and valid. Specifically, internal consistency coefficients and test-retest reliability correlations were generally acceptable, all four demonstrated sensitivity to change, and validity correlations were significant and in the expected direction. Findings demonstrated the ability to measure key constructs related to attitudes and intended behaviors in law enforcement officers utilizing psychometrically sound instruments. Further testing and the development of additional reliable and valid instruments focused on attitudinal and behavioral domains among officers who have frequent interactions with individuals with mental illnesses would be of great value

Improving Adherence to Cardiovascular Therapies: An Economic Evaluation of a Randomized Pragmatic Trial.

OBJECTIVE: Preplanned economic analysis of a pragmatic trial using electronic-medical-record-linked interactive voice recognition (IVR) reminders for enhancing adherence to cardiovascular medications (i.e., statins, angiotensin-converting enzyme inhibitors [ACEIs], and angiotensin receptor blockers [ARBs]). METHODS: Three groups, usual care (UC), IVR, and IVR plus educational materials (IVR+), with 21,752 suboptimally adherent patients underwent follow-up for 9.6 months on average. Costs to implement and deliver the intervention (from a payer perspective) were tracked during the trial. Medical care costs and outcomes were ascertained using electronic medical records. RESULTS: Per-patient intervention costs ranged from $9 to$17 for IVR and from $36 to$47 for IVR+. For ACEI/ARB, the incremental cost-effectiveness ratio for each percent adherence increase was about 3 times higher with IVR+ than with IVR ($6 and$16 for IVR and IVR+, respectively). For statins, the incremental cost-effectiveness ratio for each percent adherence increase was about 7 times higher with IVR+ than with IVR ($6 and$43 for IVR and IVR+, respectively). Considering potential cost offsets from reduced cardiovascular events, the probability of breakeven was the highest for UC, but the IVR-based interventions had a higher probability of breakeven for subgroups with a baseline low-density lipoprotein (LDL) level of more than 100 mg/dl and those with two or more calls. CONCLUSIONS: We found that the use of an automated voice messaging system to promote adherence to ACEIs/ARBs and statins may be cost-effective, depending on a decision maker\u27s willingness to pay for unit increase in adherence. When considering changes in LDL level and downstream medical care offsets, UC is the optimal strategy for the general population. However, IVR-based interventions may be the optimal choice for those with elevated LDL values at baseline