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DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: Adaptation of the Medication Regimen Complexity Index (MRCI) for automation in an electronic medical record has the potential to improve medication optimization and patient outcomes. The purpose of this study was to develop and evaluate an abbreviated medication regimen complexity index (A-MRCI) and compare its associations with patient-level factors to those of the MRCI. METHODS: The MRCI was modified via several rounds of review with an expert panel of clinical pharmacists and outcomes researchers. Medication data from 138 electronic health records were abstracted to calculate MRCI and A-MRCI scores for dosage form, dosing frequency, and additional directions. Comparison between indices was performed using inferential statistics for a 1-month sample of patients admitted to a cardiology or advanced heart failure service in 2017. RESULTS: A-MRCI scores were higher than MRCI scores (mean difference of 3.97, P < 0.0005; 95% CI, 2.21-5.71). A significant association was observed between the A-MRCI score and both length of stay (P = 0.0005) and polypharmacy (P < 0.0005), whereas an association between MRCI score and the patient-level factors examined was not demonstrated. CONCLUSION: On average, A-MRCI scores were higher and more likely to be associated with several patient-level factors. Internal analyses show the potential for integration into an electronic health record for automation. However, further exploration of the A-MRCI in a larger external validation sample is warranted.
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Self/informant-report and performance-based instruments are typically used to measure activities of daily living (ADLs) and instrumental activities of daily living (IADLs). Minimal attention has focused on clinician-rated measures. Executive functioning (EF) contributes significantly to functional independence, and the validity of functional status measures has been examined through its relationship to EF scores. The current study used a clinical sample of older U.S. Veterans who completed a neurocognitive evaluation (n = 266). The psychometric properties of a novel, clinician-rated Functional Status Interview (FSI) and its relationship to EF measures, including the Frontal Assessment Battery (FAB) and Trail Making Test (TMT-A and TMT-B), were explored. Two FSI factors (IADL and ADL) emerged with all items loading strongly onto the subscales as predicted. EF correlated strongly with IADL but had small to medium correlations with ADL. In regression models that controlled for sociodemographic variables, all EF measures uniquely contributed to the IADL model, but only FAB and TMT-A contributed to the model for ADL. Notably, results may have been limited by prominent floor effects on TMT-B. Overall, the FSI is a promising measure with demonstrated content validity. Thus, there is preliminary support for clinicians to incorporate multiple sources of information to rate functional status using the FSI.
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Severe infection with COVID-19 virus in pregnancy offers unique management challenges for the obstetrician and critical care specialist. We report the case of a woman at 26 weeks of gestation with acute respiratory distress syndrome secondary to COVID-19 infection treated with dexamethasone, remdesivir, convalescent plasma and mechanical ventilation. Cesarean delivery was performed at 29 weeks due to worsening maternal status. This case offers insight into the assessment and successful use of treatment strategies, including dexamethasone, remdesivir, convalescent plasma, early prone positioning, conservative fluid management, permissive hypoxia and low tidal volume parameters with ventilator support for pregnancies affected by severe COVID-19 infection.
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PURPOSE: To describe outcomes of clients with serious mental illnesses who used regional public mental health services; and what the public mental health system did well or needed to change to better satisfy clients' needs. METHODS: A modal case study analysis method was used with 15 clients. Participants were interviewed three times. FINDINGS: Participants reported dissatisfaction with their social functioning and general health, and unmet needs for case management services, social/recreational activities, and vocational rehabilitation. CONCLUSIONS: The case study method is an effective way for nurses to evaluate public mental health systems and to determine areas for system intervention.
