Publications

OBJECTIVE: The aim of the study is to characterize patient-reported signs and symptoms of urinary tract infections in patients with neurogenic bladder to inform development of an intervention to improve the accuracy of urinary tract infection diagnosis.

DESIGN: This is a retrospective cohort study of adults with neurogenic bladder due to spinal cord injury/disorder, multiple sclerosis, and/or Parkinson disease and urinary tract infection encounters at four medical centers between 2017 and 2018. Data were collected through medical record review and analyzed using descriptive statistics and unadjusted logistic regression.

RESULTS: Of 199 patients with neurogenic bladder and urinary tract infections, 37% were diagnosed with multiple sclerosis, 36% spinal cord injury/disorder, and 27% Parkinson disease. Most patients were men (88%) in inpatient or long-term care settings (60%) with bladder catheters (67%). Fever was the most frequent symptom (32%). Only 38% of patients had a urinary tract-specific symptom; 48% had only nonspecific to the urinary tract symptoms. Inpatient encounter setting (odds ratio, 2.5; 95% confidence interval, 1.2-5.2) was associated with greater odds of only having nonspecific urinary tract symptoms.

CONCLUSIONS: In patients with neurogenic bladder and urinary tract infection encounters, nonspecific signs and symptoms are most frequently reported. These results can inform interventions to help providers better elicit and document urinary tract-specific symptoms in patients with neurogenic bladder presenting with possible urinary tract infection, particularly among hospitalized patients.

TO CLAIM CME CREDITS: Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME.

CME OBJECTIVES: Upon completion of this article, the reader should be able to: (1) Describe patient-reported signs and symptoms of urinary tract infection (UTI) in adults with neurogenic bladder (NB) due to spinal cord injury/disorder (SCI/D), multiple sclerosis (MS), and Parkinson disease (PD); (2) Differentiate urinary tract specific symptoms and nonspecific symptoms reported by adults with NB for suspected UTI and recognize how this may impact UTI diagnosis in this population; and (3) Recognize differences in UTI signs and symptoms reported by patients with NB based on patient and encounter characteristics.

LEVEL: Advanced.

ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s) ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

INTRODUCTION: The purpose of this study is to compare opioid prescribing and high-risk prescribing by race and ethnicity in a national cohort of U.S. veterans.

METHODS: A cross-sectional analysis of veteran characteristics and healthcare use was performed on electronic health record data for 2018 Veterans Health Administration users and enrollees in 2022.

RESULTS: Overall, 14.8% received an opioid prescription. The adjusted odds of being prescribed an opioid were lower for all race/ethnicity groups than for non-Hispanic White veterans, except for non-Hispanic multiracial (AOR=1.03; 95% CI=0.999, 1.05) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=1.03, 1.09) veterans. The odds of any day of overlapping opioid prescriptions (i.e., opioid overlap) were lower for all race/ethnicity groups than for the non-Hispanic White group, except for the non-Hispanic American Indian/Alaska Native group (AOR=1.01; 95% CI=0.96, 1.07). Similarly, all race/ethnicity groups had lower odds of any day of daily dose >120 morphine milligram equivalents than the non-Hispanic White group, except for the non-Hispanic multiracial (AOR=0.96; 95% CI=0.87, 1.07) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=0.96, 1.17) groups. Non-Hispanic Asian veterans had the lowest odds for any day of opioid overlap (AOR=0.54; 95% CI=0.50, 0.57) and daily dose >120 morphine milligram equivalents (AOR=0.43; 95% CI=0.36, 0.52). For any day of opioid-benzodiazepine overlap, all races/ethnicities had lower odds than non-Hispanic White. Non-Hispanic Black/African American (AOR=0.71; 95% CI=0.70, 0.72) and non-Hispanic Asian (AOR=0.73; 95% CI=0.68, 0.77) veterans had the lowest odds of any day of opioid-benzodiazepine overlap.

CONCLUSIONS: Non-Hispanic White and non-Hispanic American Indian/Alaska Native veterans had the greatest likelihood to receive an opioid prescription. When an opioid was prescribed, high-risk prescribing was more common in White and American Indian/Alaska Native veterans than in all other racial/ethnic groups. As the nation's largest integrated healthcare system, the Veterans Health Administration can develop and test interventions to achieve health equity for patients experiencing pain.

INTRODUCTION: In the United States, dentists frequently prescribe hydrocodone. In October 2014, the US Drug Enforcement Administration rescheduled hydrocodone from controlled substance schedule III to II, introducing more restricted prescribing and dispensing regulations, which may have changed dental prescribing of opioids.

OBJECTIVE: The study aim was to evaluate the impact of the hydrocodone rescheduling on dental prescribing of opioids in the United States.

METHODS: This was a cross-sectional study of opioids prescribed by dentists between October 2012 and October 2016, using the IQVIA Longitudinal Prescription Dataset. Monthly dentist-based opioid prescribing rate (opioid prescription [Rx]/1,000 dentists) and monthly average opioid dosages per prescription (mean morphine milligram equivalent per day [MME/d]) were measured in the 24 mo before and after hydrocodone rescheduling in October 2014 (index or interruption). An interrupted time-series analysis was conducted using segmented ordinary least square regression models, with Newey-West standard errors to handle autocorrelation.

RESULTS: Dentists prescribed 50,412,942 opioid prescriptions across the 49 mo. Hydrocodone was the most commonly prescribed opioid pre- and postindex (74.9% and 63.8%, respectively), followed by codeine (13.8% and 21.6%), oxycodone (8.1% and 9.5%), and tramadol (2.9% and 4.8%). At index, hydrocodone prescribing immediately decreased by -834.8 Rx/1,000 dentists (95% confidence interval [CI], -1,040.2 to -629.4), with increased prescribing of codeine (421.9; 95% CI, 369.7-474.0), oxycodone (85.3; 95% CI, 45.4-125.2), and tramadol (111.8; 95% CI, 101.4-122.3). The mean MME increased at index for all opioids except for hydrocodone, and dosages subsequently decreased during the postindex period.

CONCLUSION: Following the rescheduling, dentist prescribing of hydrocodone declined while prescribing of nonhydrocodone opioids increased. Understanding the impact of this regulation informs strategies to ensure appropriate prescribing of opioids for dental pain.

KNOWLEDGE TRANSFER STATEMENT: The study findings can be used by policy makers to make informed decisions in developing future risk mitigation strategies aimed to regulate opioid prescribing behaviors. Furthermore, dentist-specific resources and guidelines are needed subsequent to these policies in order to meet the dental population needs.

OBJECTIVES: Twelve percent of the U.S. population has a dental implant. Although rare, implant loss/complications can impact quality of life. This study evaluated indicators for implant loss/complications.

METHODS: Veterans with dental implants placed between 2015 and 2019 were included. Implant loss/complications were defined as implant removal or peri-implant defect treatment within 90 days. Binomial logistic regression identified factors associated with implant loss/complications.

RESULTS: From 2015 to 2019, 48,811 dental implants were placed in 38,246 Veterans. Implant loss/complications was identified for 202 (0.4%) implants. In adjusted analyses, Veterans aged 50-64 years (OR = 1.92 (95% confidence interval (CI): 1.06, 3.46)) and ≥65 (OR = 2.01 (95% CI: 1.14, 3.53)) were more likely to have implant loss/complications. History of oral infection, tooth location, and number of implants placed all significantly increased the odds of loss/complications.

CONCLUSION: Dental implant loss/complications are rare outcomes. Older age, location of implant, and the number of implants placed during a visit were significant predictors of loss/complication.

OBJECTIVE: To describe antimicrobial therapy used for multidrug-resistant (MDR) Acinetobacter spp. bacteremia in Veterans and impacts on mortality.

METHODS: This was a retrospective cohort study of hospitalized Veterans Affairs patients from 2012 to 2018 with a positive MDR Acinetobacter spp. blood culture who received antimicrobial treatment 2 days prior to through 5 days after the culture date. Only the first culture per patient was used. The association between treatment and patient characteristics was assessed using bivariate analyses. Multivariable logistic regression models examined the relationship between antibiotic regimen and in-hospital, 30-day, and 1-year mortality. Generalized linear models were used to assess cost outcomes.

RESULTS: MDR Acinetobacter spp. was identified in 184 patients. Most cultures identified were Acinetobacter baumannii (90%), 3% were Acinetobacter lwoffii, and 7% were other Acinetobacter species. Penicillins-β-lactamase inhibitor combinations (51.1%) and carbapenems (51.6%)-were the most prescribed antibiotics. In unadjusted analysis, extended spectrum cephalosporins and penicillins-β-lactamase inhibitor combinations-were associated with a decreased odds of 30-day mortality but were insignificant after adjustment (adjusted odds ratio (aOR) = 0.47, 95% CI, 0.21-1.05, aOR = 0.75, 95% CI, 0.37-1.53). There was no association between combination therapy vs monotherapy and 30-day mortality (aOR = 1.55, 95% CI, 0.72-3.32).

CONCLUSION: In hospitalized Veterans with MDR Acinetobacter spp., none of the treatments were shown to be associated with in-hospital, 30-day, and 1-year mortality. Combination therapy was not associated with decreased mortality for MDR Acinetobacter spp. bacteremia.

Although urinary tract infections (UTIs) are common in patients with neurogenic bladder (NB), limited data exist on UTI perceptions, experiences, and beliefs in these patients. We recruited adults with NB due to spinal cord injury/disorder (SCI/D) or multiple sclerosis (MS) at three Veterans Affairs (VA) medical centers to participate in 11 virtual focus groups. Audio transcripts were coded using a mixed approach with primary deductive codes linked to the Health Belief Model, and secondary inductive codes informed by grounded theory. Twenty-three Veterans (SCI/D, 78%; MS, 18.5%) participated between May 2021 and May 2022. Participants' perspectives, experiences, and beliefs about UTI were reflected in three major themes: 1) influence of caregivers; 2) influence of the healthcare environment and provider characteristics; and 3) barriers and facilitators to care. Caregivers promoted care-seeking behavior, enabled in-home care, and enhanced participants' self-efficacy to understand educational material. Participants had poor perceptions of providers who were not knowledgeable about NB or ineffectively communicated. Good relationships with providers who knew the participant well improved self-efficacy to follow provider recommendations. These results suggest that patient-centered interventions to improve UTI management in this population should expand caregiver involvement, enhance patient-provider communication, and target provider types and care settings that lack familiarity with NB.

OBJECTIVES: Dentists prescribe 10% of all outpatient antibiotics in the United States and are the top specialty prescriber. Data on current antibiotic prescribing trends are scarce. Therefore, we evaluated trends in antibiotic prescribing rates by dentists, and we further assessed whether these trends differed by agent, specialty, and by patient characteristics.

DESIGN: Retrospective study of dental antibiotic prescribing included data from the IQVIA Longitudinal Prescription Data set from January 1, 2012 to December 31, 2019.

METHODS: The change in the dentist prescribing rate and mean days' supply were evaluated using linear regression models.

RESULTS: Dentists wrote >216 million antibiotic prescriptions between 2012 and 2019. The annual dental antibiotic prescribing rate remained steady over time (P = .5915). However, the dental prescribing rate (antibiotic prescriptions per 1,000 dentists) increased in the Northeast (by 1,313 antibiotics per 1,000 dentists per year), among oral and maxillofacial surgeons (n = 13,054), prosthodontists (n = 2,381), endodontists (n = 2,255), periodontists (n = 1,961), and for amoxicillin (n = 2,562; P < .04 for all). The mean days' supply significantly decreased over the study period by 0.023 days per 1,000 dentists per year (P < .001).

CONCLUSIONS: From 2012 to 2019, dental prescribing rates for antibiotics remained unchanged, despite decreases in antibiotic prescribing nationally and changes in guidelines during the study period. However, mean days' supply decreased over time. Dental specialties, such as oral and maxillofacial surgeons, had the highest prescribing rate with increases over time. Antibiotic stewardship efforts to improve unnecessary prescribing by dentists and targeting dental specialists may decrease overall antibiotic prescribing rates by dentists.

BACKGROUND: We performed a preimplementation assessment of workflows, resources, needs, and antibiotic prescribing practices of trainees and practicing dentists to inform the development of an antibiotic-stewardship clinical decision-support tool (CDST) for dentists.

METHODS: We used a technology implementation framework to conduct the preimplementation assessment via surveys and focus groups of students, residents, and faculty members. Using Likert scales, the survey assessed baseline knowledge and confidence in dental providers' antibiotic prescribing. The focus groups gathered information on existing workflows, resources, and needs for end users for our CDST.

RESULTS: Of 355 dental providers recruited to take the survey, 213 (60%) responded: 151 students, 27 residents, and 35 faculty. The average confidence in antibiotic prescribing decisions was 3.2 ± 1.0 on a scale of 1 to 5 (ie, moderate). Dental students were less confident about prescribing antibiotics than residents and faculty (P < .01). However, antibiotic prescribing knowledge was no different between dental students, residents, and faculty. The mean likelihood of prescribing an antibiotic when it was not needed was 2.7 ± 0.6 on a scale of 1 to 5 (unlikely to maybe) and was not meaningfully different across subgroups (P = .10). We had 10 participants across 3 focus groups: 7 students, 2 residents, and 1 faculty member. Four major themes emerged, which indicated that dentists: (1) make antibiotic prescribing decisions based on anecdotal experiences; (2) defer to physicians' recommendations; (3) have limited access to evidence-based resources; and (4) want CDST for antibiotic prescribing.

CONCLUSIONS: Dentists' confidence in antibiotic prescribing increased by training level, but knowledge did not. Trainees and practicing dentists would benefit from a CDST to improve appropriateness of antibiotic prescribing.