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1.
Mil Med ; 2023 Oct 19.
Article in English | MEDLINE | ID: mdl-37856686

ABSTRACT

INTRODUCTION: The Department of Defense Medical Examination Review Board (DoDMERB) plays a pivotal role in the assessment of medical fitness for aspiring military officers. A crucial component of this process is the screening audiogram, designed to evaluate hearing capabilities. However, recent observations of high disqualification rates following screening audiograms led to concerns about their accuracy. MATERIALS AND METHODS: This quality improvement project, conducted between 2017 and 2019, aimed to assess the concordance between screening audiograms and reference-standard audiometry, as well as to investigate the relationship between disqualification status and hearing thresholds at different frequencies. A sample of 134 candidates, drawn from various locations across the United States, was analyzed. RESULTS: Results revealed that the screening audiogram mean thresholds were twice that of the reference-standard audiogram, particularly in the lower frequencies. Additionally, we found that 84% of candidates were incorrectly disqualified by the screening exam when followed up by the reference-standard. Overall, Bland-Altman analysis revealed significant disagreement between these two tests. This discrepancy prompted a fundamental policy shift in 2020, where candidates who fail screening audiograms now automatically undergo reference-standard audiometry before any disqualification decision. This policy change reflects the commitment of DoDMERB to refining the medical screening process. It reduces the burden on candidates, provides a more comprehensive assessment, and ensures that qualified individuals are not erroneously disqualified.In addition to policy changes, this quality improvement project explored potential courses of action to enhance the screening audiogram process. Among these, improving contract specifications for testing facilities to minimize ambient noise emerged as the most practical and cost-effective approach. CONCLUSION: In conclusion, the project underscores the importance of refining medical screening processes to accurately assess candidates' qualifications while retaining the utility of screening audiograms. These efforts not only benefit aspiring military officers but also contribute to maintaining the high standards required for military service.

2.
Clin Schizophr Relat Psychoses ; 12(1): 12-22, 2018.
Article in English | MEDLINE | ID: mdl-26218237

ABSTRACT

The determinants of attitudes toward medication (ATM) are not well elucidated. In particular, literature remains equivocal regarding the influence of cognition, adverse events, and psychiatric symptomatology. This study evaluated relationships between those outcomes in schizophrenia and ATM. This is a retrospective analysis of data collected during the Texas Medication Algorithm Project (TMAP, n=307 with schizophrenia-related diagnoses), in outpatient clinics at baseline and every 3 months for ≥1 year (for cognition: 3rd and 9th month only). The Drug Attitude Inventory (DAI-30) measured ATM, and independent variables were: cognition (Trail Making Test [TMT], Verbal Fluency Test, Hopkins Verbal Learning Test), adverse events (Systematic Assessment for Treatment-Emergent Adverse Events, Barnes Akathisia Rating Scale), psychiatric symptomatology (Brief Psychiatric Rating Scale, Scale for Assessment of Negative Symptoms [SANS]), and medication adherence (Medication Compliance Scale). Analyses included binary logistic regression (cognition, psychiatric symptoms) and chi-square (adverse events, adherence) for baseline comparisons, and linear regression (cognition) or ANOVA (adverse events, adherence) for changes over time. Mean DAI-30 scores did not change over 12 months. Odds of positive ATM increased with higher TMT Part B scores (p=0.03) and lower SANS scores (p=0.02). Worsening of general psychopathology (p<0.001), positive symptoms (p<0.001), and negative symptoms (p=0.007) correlated with negative changes in DAI-30 scores. Relationships between cognition, negative symptoms, and ATM warrant further investigation. Studies evaluating therapies for cognitive deficits and negative symptoms should consider including ATM measures as endpoints. Patterns and inconsistencies in findings across studies raise questions about whether some factors thought to influence ATM have nonlinear relationships.


Subject(s)
Antipsychotic Agents/therapeutic use , Attitude to Health , Medication Adherence , Schizophrenia , Schizophrenic Psychology , Adult , Antipsychotic Agents/adverse effects , Cognition , Drug-Related Side Effects and Adverse Reactions/psychology , Female , Humans , Male , Middle Aged , Outpatients/psychology , Outpatients/statistics & numerical data , Psychiatric Status Rating Scales , Retrospective Studies , Schizophrenia/diagnosis , Schizophrenia/drug therapy , Symptom Assessment , United States
3.
Expert Rev Pharmacoecon Outcomes Res ; 14(1): 35-44, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24328809

ABSTRACT

Approximately 18% of US gross domestic product is spent on healthcare and 5% of that is for cancer care. With rapidly increasing oncologic drug prices, growth in cancer spending will likely far outpace overall healthcare spending growth. Developing cost-saving strategies is imperative, but economizing must not compromise patients' well-being. Providing quality care at the most economical price is the main aim. This article summarizes trends in rising cancer costs, and reviews cost-management strategies, including those proposed in the Affordable Care Act. Many programs economize by correcting inefficiencies, preventing therapeutic failures and eliminating errors. Process improvement is important, but in oncology, medications substantially drive costs. Identifying the most effective and economical treatments requires cost-effectiveness research. At the current pace, the US payers cannot continue to afford increasing costs for cancer treatments. Research on maximizing patient outcomes for reasonable costs is essential. More analyses of quality of life assessment and cost-effectiveness can support future decisions about cancer care.


Subject(s)
Delivery of Health Care/economics , Health Care Costs/trends , Neoplasms/economics , Cost-Benefit Analysis , Delivery of Health Care/standards , Delivery of Health Care/trends , Humans , Neoplasms/therapy , Patient Protection and Affordable Care Act , Quality of Health Care , Quality of Life , United States
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