Outpatient Antifungal Prescribing Patterns in the United States, 2018.

Background: Widespread inappropriate antibiotic prescribing is a major driver of resistance. Little is known about antifungal prescribing practices in the United States, which is concerning given emerging resistance in fungi, particularly to azole antifungals. Objective: We analyzed outpatient U.S. antifungal prescribing data to inform stewardship efforts. Design: Descriptive analysis of outpatient antifungal prescriptions dispensed during 2018 in the IQVIA Xponent database. Methods: Prescriptions were summarized by drug, sex, age, geography, and healthcare provider specialty. Census denominators were used to calculate prescribing rates among demographic groups. Results: Healthcare providers prescribed 22.4 million antifungal courses in 2018 (68 prescriptions per 1,000 persons). Fluconazole was the most common drug (75%), followed by terbinafine (11%) and nystatin (10%). Prescription rates were higher among females vs. males (110 vs. 25 per 1,000) and adults vs. children (82 vs. 27 per 1,000). Prescription rates were highest in the South (81 per 1,000 persons) and lowest in the West (48 per 1,000 persons). Nurse practitioners and family practitioners prescribed the most antifungals (43% of all prescriptions), but the highest prescribing rates were among obstetrician-gynecologists (84 per provider). Conclusions: Prescribing of antifungal drugs in the outpatient setting was common, with enough courses dispensed for one in every 15 U.S. residents in 2018. Fluconazole use patterns suggest vulvovaginal candidiasis as a common indication. Regional prescribing differences could reflect inappropriate use or variations in disease burden. Further study of higher antifungal use in the South could help target antifungal stewardship practices.

Antibiotic and opioid prescribing for dental-related conditions in emergency departments: United States, 2012 through 2014.

BACKGROUND: Patients visiting the emergency department (ED) for nontraumatic dental conditions usually receive nondefinitive health care and are referred to treatment elsewhere. This may lead to potentially avoidable antibiotic and opioid use. METHODS: A retrospective study was conducted in IBM MarketScan Research Databases in Treatment Pathways from 2012 through 2014. This study included patients with commercial insurance or enrolled in Medicaid. Patients receiving a diagnosis of a dental condition in the ED with no secondary diagnosis warranting an antibiotic prescription were included. Patients were stratified on the basis of the primary payer and available demographics, as well as on the basis of repeat visits to the ED. RESULTS: A higher proportion of Medicaid beneficiaries (280,410, 4.9%) had dental-related visits compared with the commercially insured (159,066, 1.3%). The most common diagnoses were similar for both groups and included caries. In both cohorts, the 18- through 34-year age group had the highest rate of dental-related ED visits. Within 7 days of a dental-related ED visit, 54.9% of Medicaid beneficiaries and 55.0% of commercially insured beneficiaries filled a prescription for an antibiotic and 39.6% of Medicaid patients and 42.0% of commercially insured patients filled an opioid prescription. CONCLUSIONS: Antibiotics and opioids are frequently prescribed during ED visits for dental conditions. Access to preventive and acute oral health care for routine dental symptoms, such as caries, may reduce unnecessary prescriptions in both the commercially insured and Medicaid beneficiary populations. PRACTICAL IMPLICATIONS: Treatment of dental conditions in the ED often indicates a lack of access to preventive or acute oral health care. Data-driven solutions, such as guideline implementation, could improve oral health access, reduce medication-related harms, and avert health care expenditures.

Antimicrobial Drug Prescription and Neisseria gonorrhoeae Susceptibility, United States, 2005-2013.

We investigated whether outpatient antimicrobial drug prescribing is associated with Neisseria gonorrhoeae antimicrobial drug susceptibility in the United States. Using susceptibility data from the Gonococcal Isolate Surveillance Project during 2005-2013 and QuintilesIMS data on outpatient cephalosporin, macrolide, and fluoroquinolone prescribing, we constructed multivariable linear mixed models for each antimicrobial agent with 1-year lagged annual prescribing per 1,000 persons as the exposure and geometric mean MIC as the outcome of interest. Multivariable models did not demonstrate associations between antimicrobial drug prescribing and N. gonorrhoeae susceptibility for any of the studied antimicrobial drugs during 2005-2013. Elucidation of epidemiologic factors contributing to resistance, including further investigation of the potential role of antimicrobial drug use, is needed.

US outpatient antibiotic prescribing variation according to geography, patient population, and provider specialty in 2011.

BACKGROUND: Appropriate antibiotic prescribing is an essential strategy to reduce the spread of antibiotic resistance. US prescribing practices have not been thoroughly characterized. We analyzed outpatient antibiotic prescribing data to identify where appropriate antibiotic prescribing interventions could have the most impact. METHODS: Oral antibiotic prescriptions dispensed during 2011 were extracted from the IMS Health Xponent database. The number of prescriptions and census denominators were used to calculate prescribing rates. Prescription totals were calculated for each provider specialty. Regression modeling was used to examine the association between socioeconomic and population health factors and prescribing rates. RESULTS: Healthcare providers prescribed 262.5 million courses of antibiotics in 2011(842 prescriptions per 1000 persons). Penicillins and macrolides were the most common antibiotic categories prescribed. The most commonly prescribed individual antibiotic agent was azithromycin. Family practitioners prescribed the most antibiotic courses (24%). The prescribing rate was higher in the South census region (931 prescriptions per 1000 persons) than in the West (647 prescriptions per 1000 persons; P < .001); this pattern was observed among all age groups, including children ≤ 2 and persons ≥ 65 years of age. Counties with a high proportion of obese persons, infants and children ≤ 2 years of age, prescribers per capita, and females were more likely to be high prescribing by multivariable analysis (adjusted odds ratio, >1.0). CONCLUSIONS: Efforts to characterize antibiotic prescribing practices should focus on the South census region and family practitioners. Further understanding of the factors leading to high prescribing among key target populations will inform appropriate prescribing interventions.

Comparison of point of care and laboratory HbA1c analysis: a MetroNet study.

BACKGROUND: Evaluating new technology in clinical practice is an important component of translating research into practice. We considered the feasibility of using a Clinical Laboratory Improvement Amendments (CLIA)-waived point of care (POC) glycohemoglobin (HbA1c) methodology in busy family medicine centers by comparing the results of POC HbA1c and laboratory analysis results. METHODS: Recruited from 5 MetroNet practices, the participants were adult diabetic patients having blood samples drawn for laboratory analysis of HbA1c. Each agreed to provide a capillary blood sample for POC testing. RESULTS: With data on 99 paired samples, the POC method yielded a mean HbA1c of 7.38%, which was equivalent to the mean of 7.53% produced with all combined standard laboratory analyses. The Pearson correlation between POC and the laboratory analysis test results was 0.884 (P < .001). POC test sensitivity was 81.8% and specificity was 93.2%. Eighteen percent of patients with an HbA1c > = 7% by laboratory analysis were not identified as such by the POC test. CONCLUSIONS: Before adopting a POC methodology, practices are encouraged to review its feasibility in the context of the office routine, and also to conduct periodic comparisons of the accuracy of POC test results compared with those from laboratory analysis.

Quality of life and self-esteem of long-term survivors of invasive and noninvasive cervical cancer.

OBJECTIVE: We compared long-term survivors of invasive and noninvasive cervical cancer (1) to determine if there are differences in the quality of life (QOL) and (2) to assess the association between self-esteem and QOL. METHODS: A sample of cervical cancer survivors diagnosed with invasive and noninvasive cervical cancer during 1995-1996 was drawn from the metropolitan Detroit Surveillance, Epidemiology, and End Results (SEER) cancer registry. There were 145 participating survivors, 42 with invasive and 103 with noninvasive cervical cancer. Data were collected using a structured interview, conducted primarily over the telephone. The outcome measures were the QOL (measured by the Medical Outcomes Study Short Form-36 [SF-36]) summary scales, the Physical Component Summary (PCS) score and the Mental Component Summary (MCS) score. Differences in MCS and PCS between women with invasive and noninvasive cancer were determined using analysis of covariance (ANCOVA). Multivariate analysis was performed to determine the association between self-esteem and MCS and PCS. RESULTS: There were no differences in either PCS or MCS scores between long-term survivors of invasive and noninvasive cervical cancer. Self-esteem was associated with MCS but not with PCS in women with invasive cancer as well as in women with noninvasive cancer. CONCLUSIONS: The distinctive association of self-esteem with MCS but not PCS indicates that interventions for supporting and improving self-esteem may be more effective by promoting psychological well-being rather than physical well-being. Moreover, women with noninvasive cervical cancer, a group often neglected in cervical cancer studies, should also be targeted for these interventions.

Correlation of same-visit HbA1c test with laboratory-based measurements: a MetroNet study.

BACKGROUND: Glycated hemoglobin (HbA1c) results vary by analytical method. Use of same-visit HbA1c testing methodology holds the promise of more efficient patient care, and improved diabetes management. Our objective was to test the feasibility of introducing a same-visit HbA1c methodology into busy family practice centers (FPC) and to calculate the correlation between the same-visit HbA1c test and the laboratory method that the clinical site was currently using for HbA1c testing. METHODS: Consecutive diabetic patients 18 years of age and older having blood samples drawn for routine laboratory analysis of HbA1c were asked to provide a capillary blood sample for same-visit testing with the BIO-RAD Micromat II. We compared the results of the same-visit test to three different laboratory methods (one FPC used two different laboratories). RESULTS: 147 paired samples were available for analysis (73 from one FPC; 74 from the other). The Pearson correlation of Micromat II and ion-exchange HPLC was 0.713 (p < 0.001). The Micromat II mean HbA1c was 6.91%, which was lower than the 7.23% from the ion-exchange HPLC analysis (p < 0.001). The correlation of Micromat II with boronate-affinity HPLC was 0.773 (p < 0.001); Micromat II mean HbA1c 6.44%, boronate-affinity HPLC mean 7.71% (p < 0.001). Correlation coefficient for Micromat II and immuno-turbidimetric analysis was 0.927 (p < 0.001); Micromat II mean HbA1c was 7.15% and mean HbA1c from the immuno-turbidimetric analysis was 7.99% (p = 0.002). Medical staff found the same-visit measurement difficult to perform due to the amount of dedicated time required for the test. CONCLUSION: For each of the laboratory methods, the correlation coefficient was lower than the 0.96 reported by the manufacturer. This might be due to variability introduced by the multiple users of the Micromat II machine. The mean HbA1c results were also consistently lower than those obtained from laboratory analysis. Additionally, the amount of dedicated time required to perform the assay may limit its usefulness in a busy clinical practice. Before introducing a same-visit HbA1c methodology, clinicians should compare the rapid results to their current method of analysis.

Physical activity in young African American women.

African American women are reported to be less physically active than other population groups. This study examined personal behavioral and psychosocial and environmental factors associated with physical activity in African American women living at or below poverty. Most participants engaged in some moderate physical activity through housework and child care; 71% engaged in activity such as walking from one to seven times per week; but only 5% were vigorously active. Seventy-seven percent were active in the past, but 80% dropped out within 6 months, citing "lack of time and feeling bad" as the main reasons. Exercise self-efficacy was positively correlated with beliefs about physical and social outcomes of activity, with more active than inactive women believing that physical activity had more physical health outcomes. One-third of the women reported that family or friends disapproved of their spending time being physically active, and 45% had never been encouraged to be active by a health professional. However, health professionals' influence was positively correlated with weight reduction but not physical activity participation.