Bridging Community Mental Health and Primary Care to Improve Medication Monitoring and Outcomes for Patients With Mental Illness Taking Second-Generation Antipsychotics-Phase 2: Quality Improvement Initiative Over 15 Months.

Objective: To evaluate the effectiveness of a quality improvement (QI) initiative to improve family medicine residents' metabolic monitoring of second-generation antipsychotics (SGAs) for patients comanaged across nonintegrated community mental health and family medicine clinics.Methods: Patients were aged ≥ 18 years seen by family medicine residents and prescribed at least 1 SGA (N = 175). Preparative and scheduled QI interventions were nonblinded and included collaboration across organizations, education, and monthly interprofessional care conferences. The QI outcome included evaluation of pre-post metabolic monitoring laboratory data over the 15-month study period. A subset of patients (n = 26) was reviewed at least once at monthly interprofessional care conferences. Patients were stratified by diagnosis of diabetes (n = 45) and no diabetes (n = 130) at baseline. Analyses of the QI intervention outcomes were framed by the time period of monthly care conferences (January 31, 2019-April 30, 2020) and compared to baseline (the historical time period) (October 31, 2017-January 29, 2019).Results: Improved adherence in glycated hemoglobin (HbA1c) (P = .042) and lipid (P < .001) monitoring per guidelines from baseline to follow-up was seen in the total patient population (N = 175). Patients without diabetes (n = 130) had significant improvement (P = .001) in HbA1c monitoring from baseline to follow-up. The subgroup of patient cases that were discussed at a care conference showed no significant improvement in HbA1c or lipid monitoring.Conclusion: Preparative and scheduled QI interventions provided family medicine residents powerful reminders of the SGA monitoring guidelines that improved the metabolic monitoring behaviors for all patients on SGAs.Prim Care Companion CNS Disord. 2023;25(3)22m03432. Author affiliations are listed at the end of this article.

Observed Sex Differences in Cardiometabolic Indices in Patients on Antipsychotics: Secondary Analyses of a 12-Month Multicenter, Randomized, Controlled Trial.

OBJECTIVE: To define sex differences in cardiometabolic indice changes over 12 months in patients on antipsychotics and to describe treatment complexity, interventions, and patient satisfaction of pharmacist comprehensive medication management (CMM) services. METHODS: Secondary analyses of time effect-associated sex differences in cardiometabolic indices within and between study groups were done at baseline and 12 months. Each group consisted of 60 subjects who received full pharmacist CMM services (PCS) and 60 subjects who received either modified or no CMM services (NCS). Pharmacist CMM services are a team-based practice of providing direct patient care. RESULTS: Significant sex differences in mean change score were observed from baseline to 12 months in the combined PCS and NCS subjects. Compared to men, women had greater body weight (P = .003) and waist measurement (P = .02) reductions and increased serum level of high-density lipoproteins (P < .001). In contrast, men had greater systolic (P < .001) and diastolic (P = .005) blood pressure levels, more hypertension diagnoses (P = .01), and less dyslipidemia diagnoses (P = .001) compared to women at 12 months. Significant sex differences were observed in combined PCS and NCS groups for glycated hemoglobin (HgbA1c) (women: -0.33%, P = .02) and low-density lipoprotein (men: -21.63 mg/dL, P = .04) at 12 months. In PCS women, a significant (P = .02) reduction in mean HgbA1c percentages (-0.46%) compared to PCS men (0.28%) was observed at 12 months. A higher percentage (62%, n = 28/45) of PCS women compared to PCS men (38%, n = 17/45) at 12 months continued to receive CMM services. Satisfaction survey results positively favored CMM services; however, the response rate was only 25% (n = 18/72). CONCLUSIONS: Women on antipsychotics appear more likely to keep follow-up visits, return satisfaction surveys, reduce abdominal weight, and improve both HgbA1c percentages and high-density lipid levels compared to men over 12 months. Women were satisfied overall with CMM services. Recognition of sex differences can promote a more personalized patient-centered care approach among patients prescribed antipsychotics. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02029989.

Impact of Interprofessional Care Conferences Across Primary Care and Mental Health Organizations on Family Medicine Resident Learning.

BACKGROUND AND OBJECTIVES: Patients with severe mental illness often lack care coordination between primary care and mental health providers which can negatively impact patient outcomes. Team-based care is integral in the effective management of patients with multiple comorbidities, with the family physician central in coordinating holistic care. Family medicine residency programs must provide models of effective interprofessional collaboration and mental health treatment to prepare residents to navigate an evolving health care landscape. The objective of this study was to evaluate family medicine residents' learning about providing holistic care with an interprofessional team and medication safety monitoring from the interprofessional cross-organizational care conference experience. METHODS: To bridge care and cultivate the necessary skills, a family medicine clinic and mental health clinic implemented monthly interprofessional care conferences to coordinate care for their shared patients during 2019. Residents who participated in the care conference each (n=11) completed a retrospective pre/postsurvey (11/11=100% response rate) to gather perceptions of what they learned from the interprofessional care conference experience. RESULTS: After participating in the care conference, all residents agreed they understood the elements that must be considered to provide holistic patient care, were confident conducting medication safety monitoring for their patients taking second-generation antipsychotics (eg, lipids, A1C, ECG), and agreed the care conference helped them develop a more comprehensive patient-centered care plan. Additionally, they all intend to work collaboratively across professions in the future. CONCLUSIONS: Interprofessional and cross-organizational care conferences create an authentic learning environment that enhances family medicine residents' understanding and confidence in providing collaborative and holistic care for patients with severe and persistent mental illness.

Using pharmacogenomics and therapeutic drug monitoring to guide drug selection and dosing in outpatient mental health comprehensive medication management.

Pharmacogenomic (PGx) testing aided by therapeutic drug monitoring (TDM) has the potential to improve medication-related outcomes in some individuals prescribed psychiatric medications. Many commonly prescribed psychiatric medications are metabolized through polymorphic drug metabolizing enzymes such as cytochrome p450 (CYP) 2D6 (CYP2D6) and CYP2C19. Through PGx testing, clinicians can make biologically informed choices when selecting a new medication, and TDM may help inform dose adjustments or assess exposures to current treatments. Herein, we describe 2 complex case reports of individuals with multiple psychiatric diagnoses and extensive histories of medication failures who underwent PGx testing in addition to TDM as part of a pharmacist-led comprehensive medication therapy management evaluation in a community mental health clinic setting.

Awareness of state legislation on naloxone accessibility associated with willingness to prescribe naloxone.

BACKGROUND: Increasing rates of opioid-related deaths, state naloxone legislation changes, and negativity prompted investigation of predictive factors associated with willingness to prescribe naloxone to populations at risk of overdose, including knowledge of risk factors, assessment of persons at risk, awareness of legislative changes, perceptions of professional responsibility, and confidence around naloxone prescribing and distribution. METHODS: Cross-sectional, Web-based, anonymous, voluntary survey to prescribers of 2 regional health care systems serving urban and rural North Dakota, northern Minnesota, and northwestern Wisconsin. Human subject research was approved by university and health care systems' institutional review boards. RESULTS: Overall, 203 of 1586 prescribers responded; however, not all prescribers completed each survey item. A majority (89.4%, n = 127/142) of respondents had never prescribed naloxone for overdose prevention. Willingness to prescribe naloxone for 4 patient care scenarios involving substantial opioid overdose risk ranged from 43.4% to 70.5%. Knowledge mean score was 15.5 (SD = 2.9) out of 22 with median 15 (range: 5-22). Naloxone legislation awareness score was 8.8 (SD = 3.8) out of 15 with median 8 (range: 3-15). There was a statistically significant but modest correlation between willingness to prescribe naloxone and the other variables, including awareness of state naloxone-related legislation (r = 0.43, P < .0001), level of self-confidence about dosing, prescribing, and writing protocols for naloxone (r = 0.37, P < .0001), general knowledge (r = 0.24, P = .0032), and perception of professional responsibility (r = 0.19, P = .03). Multivariate regression analysis indicated willingness to prescribe naloxone was associated with statistically significant predictors, including awareness of the naloxone laws (P = .0016) and self-confidence about dosing, prescribing, and writing protocols (P = .0011). CONCLUSIONS: Prescribers who are more aware of state laws regarding naloxone and confident in their knowledge of dosing, administration, and writing protocols may be more willing to prescribe naloxone.

Pharmacogenetic evaluation to assess breakthrough psychosis with aripiprazole long-acting injection: a case report.

BACKGROUND: Given the complex nature of symptom presentation and medication regimens, psychiatric clinics may benefit from additional tools to personalize treatments. Utilizing pharmacogenetic information may be helpful in assessing unique responses to therapy. We report herein a case of wearing-off phenomena during treatment with aripiprazole long-acting injectable (LAI) and a proof of concept strategy of how pharmacogenetic information may be used to assess possible genetic factors and also hypothesize potential mechanisms for further study. CASE PRESENTATION: A 51-year-old African American male with schizoaffective disorder was referred to a psychiatric clinic for medication management. After unsuccessful trials of multiple antipsychotics, oral aripiprazole was initiated (up to 30 mg/day) and transitioned to aripiprazole LAI with symptom improvement. At a high dose of aripiprazole LAI (400 mg Q3wks), the patient experienced breakthrough symptoms approximately 3 days prior to his next injection. Various considerations were examined to explain his atypical dose requirements, including but not limited to pharmacogenetic influences. Pharmacogenetic testing ruled out genetic influences on drug metabolism but noted a -141C Del variant in the dopamine-D2 receptor (DRD2) gene associated in prior studies of poor-response to antipsychotics. At this time, a new formulation, aripiprazole lauroxil, was explored due to its availability in higher dose options. Transition to the new formulation (882 mg Q4wks) greatly improved and stabilized the patient's symptoms with no breakthrough psychosis. Comparable daily dose equivalents were achieved with two different formulations due to the Q3wks vs Q4wks dosing strategies, although the two agents have some differences in pharmacokinetic profiles. CONCLUSIONS: We report a case of a patient experiencing wearing-off symptoms with aripiprazole LAI who benefited from switching to aripiprazole lauroxil. Pharmacogenetic testing revealed normal activity for relevant metabolism pathways but a DRD2 -141C variant that may influence brain D2 expression and antipsychotic responsiveness. The clinical utility of DRD2 information and what to do with genotyping results has not been previously addressed, despite availability on clinical test panels. Our case report suggests further investigations of altered dosing strategies and receptor genotype sensitivities to pharmacokinetic factors may be helpful in understanding symptom re-emergence observed in some patients taking LAI antipsychotics.

Twelve-month prospective randomized study of pharmacists utilizing point-of-care testing for metabolic syndrome and related conditions in subjects prescribed antipsychotics.

OBJECTIVE: Determine the percentage of subjects taking antipsychotics who meet criteria for metabolic syndrome based on point-of-care testing analyses. Evaluate pharmacist comprehensive medication management services using point-of-care tests to reduce the mean difference in number of metabolic syndrome risk parameters at 6 and 12 months. METHOD: This 12-month, prospective, multisite, randomized, controlled study included 120 subjects taking antipsychotics (mean [SD] age of 42.9 [11.3] years) recruited from 3 community mental health clinics in Minnesota. Subjects consented to receive either pharmacist (PCS; n = 60) or no pharmacist (NCS; n = 60) comprehensive medication management services. Data were collected from February 2010 to January 2012. RESULTS: No statistical differences in metabolic syndrome based on point-of-care tests were observed between the 2 groups at baseline (PCS: 85.2%, n = 46 versus NCS: 71.2%, n = 42, P = .073) or at 12 months (PCS: 84.4%, n = 38 versus NCS: 70.2%, n = 33, P = .104). Subjects, overall, screened positive at baseline for dyslipidemia (85.8%, n = 106), hypertension (52.5%, n = 63), and diabetes (22.5%, n = 27) based on point-of-care testing for metabolic risk criteria. After 12 months, a nonsignificant (P = .099) higher adjusted mean number of metabolic syndrome parameters in PCS subjects compared to NCS subjects (mean difference [95% CI] = 0.41 [-0.08 to 0.90]) were found. CONCLUSIONS: A relatively high proportion of subjects met criteria for metabolic syndrome, although no significant improvement was observed between the groups after 12 months. Point-of-care test analyses identified a high proportion of subjects meeting criteria for dyslipidemia, hypertension, and diabetes. Utilizing point-of-care tests in mental health settings and fostering interprofessional partnerships with comprehensive medication management pharmacists may improve identification and long-term management of metabolic risks among patients prescribed antipsychotics. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02029989.

Treatment settings and metabolic monitoring for people experiencing first-episode psychosis.

Monitoring for metabolic sequelae of antipsychotic medications is inconsistent in clinical settings. In this study, frequency of such monitoring in 40 individuals experiencing a first episode of psychosis was analyzed according to the setting in which they received treatment (i.e., inpatient unit, outpatient clinic, or metabolic screening clinic). The traditional outpatient clinic was the least likely of the three settings to monitor blood glucose, blood pressure, weight, and waist circumference. In any setting, blood lipids were measured in only 2 of the 40 patients. Reasons for these findings and recommendations for reducing barriers to screening are presented.

Assessment of a point-of-care metabolic risk screening program in outpatients receiving antipsychotic agents.

STUDY OBJECTIVE: To assess the usefulness of a metabolic risk screening program, including point-of-care glucose testing, to quantify baseline metabolic risk in outpatients receiving antipsychotics. DESIGN: Retrospective, cross-sectional, cohort study. SETTING: University-affiliated department of psychiatry clinic. PATIENTS: A total of 92 adult outpatients (49 women, 43 men; mean +/- SD age 38.96 +/- 12 yrs) who were receiving antipsychotics and had undergone screening for metabolic syndrome at the clinic during 2004-2007. MEASUREMENTS AND MAIN RESULTS: Patient data were recorded on a metabolic screening checklist by a pharmacist or nurse. The checklist captured demographics, vital signs (height, weight, body mass index [BMI], blood pressure, waist and hip circumference, point-of-care random glucose level), personal and family knowledge of current illnesses (diabetes mellitus, hypertension, hyperlipidemia), modifiable risk factors (smoking, alcohol, level of activity), current drug therapy, and recommendations to the psychiatrist. The patient population who underwent screening included 49 African-Americans (53%), 21 Caucasians (23%), 16 Hispanics (17%), and 6 Asians (7%). Diagnoses were documented for 88 patients: schizophrenia or schizoaffective disorder in 53 patients (60%), and bipolar disorder and major depressive disorder was equally divided in the remaining 35 patients (40%). Of 89 patients (three patients had missing data on waist circumference), 63 (71%) met criteria for level 1 metabolic risk (abdominal obesity); of these 63 patients, 38 (60%) met criteria for level 2 risk (abdominal obesity plus hypertension). Patients with a random glucose level greater than 140 mg/dl had a higher likelihood for being at level 2 risk than level 1 risk (chi(2)=5.99, df=1, p=0.014). Women had a significantly higher likelihood for level 1 metabolic risk compared with men (chi(2)=5.99, df=1, p=0.019). African-Americans had a significantly higher likelihood of level 1 risk (p=0.026) and BMI greater than 30 kg/m(2) (p=0.003) compared with Caucasians. Patients with a BMI greater than 30 kg/m(2) had a significantly higher likelihood of diabetes (p=0.006), hypertension (p=0.03), and hyperlipidemia (p=0.05). Overall, 5 (5%) of the 92 patients met criteria for prediabetes risk. CONCLUSION: Point-of-care metabolic risk screening, done with a systematic interprofessional team approach, can provide clinicians with a practical method for identifying metabolic risk in patients prescribed antipsychotics.

Is acetazolamide similar to topiramate for reversal of antipsychotic-induced weight gain?

Acetazolamide (AZD), a sulfa-like moiety, is a potent, nonspecific inhibitor of carbonic anhydrase (CA) enzymes and has been demonstrated to decrease lipogenesis in adipose cells in in vitro cell culture studies. In contrast, topiramate (a sulfamate moiety) appears to inhibit specific (CA) enzymes II and V. Four placebo-controlled trials with topiramate have demonstrated positive results in weight loss. There is only anecdotal evidence that AZD may cause weight loss. The following case is of a 49-year-old African-American woman with a long history of schizoaffective disorder, hypertension, diabetes type II, stress incontinence, and obesity (body mass index, 45.5 kg/m2). Previous trials of topiramate demonstrated temporary but significant weight loss before AZD use. A 4 week washout period occurred before starting AZD, 250 mg twice daily. Significant weight loss of 11.5 lbs was seen over 4 weeks. During washout periods of either topiramate or AZD, her total mean weight was approximately 2 to 7 lbs higher than when she was treated with AZD. Although tolerance and side effects may limit the use of AZD as a safe and effective strategy for medication-related weight gain, the pharmacology may provide research insights into the causes and treatments of obesity.