Is Insurance Payer Associated With Hospital Admission of Emergency Department Patients With Mandible Fractures?

BACKGROUND: There is a lack of consensus on the optimal triage pathway for emergency department (ED) patients with mandibular fractures. It remains unclear if patient insurance payers predict hospital admission given potentially competing logistical and health system incentives. PURPOSE: To generate nationally representative estimates of the frequency of hospital admission and its association with primary insurance payers for ED patients with mandible fractures. METHODS: This retrospective cohort study used the 2018 Nationwide Emergency Department Sample, the largest all-payer database in the United States, to identify patients with mandible fractures. The database includes a stratified sample with discharge weights to generate nationally representative estimates. Patients with other facial fractures and/or concomitant injuries that independently warranted admission were excluded. PREDICTOR: The primary predictor variable was primary payer (public, private, self-pay, and other/no charge). OUTCOME VARIABLE: The primary outcome variable was hospital admission (yes/no). COVARIATES: Covariates included patient-, medical/injury-, and hospital-related variables. ANALYSES: Descriptive statistics, along with bivariate and multivariate logistic regression with Bonferroni correction, were used to produce national estimates and identify predictors of admission. P < .01 was considered significant. RESULTS: The cohort included 27,238 weighted encounters involving isolated mandible fractures, of which 5,345(20%) were admitted. The payers for admitted patients were 46% public, 25% private, 22% self-pay, and 7% no charge/other. In bivariate analyses, public insurance was associated with a higher likelihood of admission than private insurance (RR 1.24, 95% CI 1.06 to 1.45), though there was no association in the multivariate model (OR 1.03, 95% CI 0.83 to 1.28). In multivariate analysis, higher Charlson Comorbidity Index (OR 1.32, 95% CI 1.18 to 1.48), alcohol-related disorder (OR 3.47, 95% CI 2.74 to 4.39), substance-related disorder (OR 1.43, 95% CI 1.20 to 1.71), and more mandible fractures (OR 3.08, 95% CI 2.65 to 3.59) were associated with admission. Compared to body fractures, subcondylar (OR 3.83, 95% CI 2.39 to 6.14), angle (OR 3.53, 95% CI 2.84 to 6.09), and symphysis (OR 4.14, 95% CI 2.84 to 6.09) fractures had higher odds of admission. Finally, level I (OR 4.11, 95% CI 2.41 to 6.98) and level II (OR 3.16, 95% CI 1.85 to 5.39) trauma centers had higher odds of admission. CONCLUSIONS: In 2018, 20% of ED patients with isolated mandible fractures were admitted. Several patient and hospital characteristics were predictors of admission. Insurance status was not associated with admission.

Is Preoperative Serum Albumin Predictive of Adverse Outcomes in Head and Neck Cancer Surgery?

BACKGROUND: Patients with head and neck cancer are at increased risk of malnutrition due to tumor burden and surgical morbidity. PURPOSE: The purpose of this study was to evaluate the association between preoperative serum albumin and 30-day adverse outcomes in patients undergoing head and neck cancer surgery. STUDY DESIGN, SETTING, SAMPLE: This was a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program database. Patients undergoing an ablative head and neck cancer procedure were included. Patients who had an unclear tumor location based on coding or missing outcome data were excluded. PREDICTOR VARIABLE: The primary predictor variable was preoperative albumin categorized as low (<3.4 g/dL), intermediate (3.4 to 3.9 g/dL), or high (>3.9 g/dL). OUTCOME VARIABLE: The primary outcome variable was intensive care unit (ICU)-level complications scored using the Clavien-Dindo classification system. This is a tool used to grade surgical complications, with grade IV and V complications defined as requiring ICU-level care. COVARIATES: Covariates were demographic (age, sex, body mass index), medical (smoking, functional status, weight loss), and perioperative (concurrent procedures, tumor location, reconstructive modality). ANALYSES: Descriptive, bivariate, and multiple logistic regression with bootstrap resampling statistics were used to evaluate the association between albumin and adverse outcomes. A significance level of P ≤ .05 was significant. RESULTS: A total of 4,491 subjects met inclusion criteria and had a documented albumin. There were 435 subjects with low albumin levels, 1,305 with intermediate levels, and 2,751 with high levels. In bivariate analysis, low albumin levels were associated with an increased risk of ICU-level complications, any complication, extended length of stay, and adverse discharge disposition (all P ≤ .001), while high levels were protective (all P ≤ .001). In bootstrapped multivariate analysis using intermediate albumin as the reference group and adjusting for demographics, tumor location, and reconstructive modality among others, low albumin levels were an independent predictor of ICU-level complications (P = .008, odds ratio, 1.64; 95% confidence interval, 1.14 to 2.40), while high levels were protective (P = .014, odds ratio, 0.689; 95% confidence interval, 0.521 to 0.923). CONCLUSIONS: Preoperative serum albumin was an independent predictor of adverse outcomes following ablative head and neck cancer procedures.

Are There Differences in Opioid Prescriptions to Urban and Rural Patients by Oral and Maxillofacial Surgeons in Massachusetts From 2011 to 2021?

PURPOSE: Oral-maxillofacial surgeons (OMSs) are frequent prescribers of opioid analgesics. It remains unclear if prescription patterns differ for urban versus rural patients, given potential differences in access to and delivery of care. This study aimed to characterize urban-rural differences in opioid analgesic prescriptions to patients in Massachusetts by OMSs from 2011 to 2021. METHODS: This retrospective cohort study used the Massachusetts Prescription Monitoring Program database to identify Schedule II and III opioid prescriptions by providers with specialty of oral and maxillofacial surgery from 2011 to 2021. The primary predictor variable was patient geography (urban/rural) and secondary predictor was year (2011-2021). The primary outcome variable was milligram morphine equivalent (MME) per prescription. Secondary outcome variables were days' supply per prescription and number of prescriptions received per patient. Descriptive and linear regression statistics were performed to analyze differences in prescriptions to urban and rural patients each year and throughout the study period. RESULTS: The study data, which includes OMS opioid prescriptions (n = 1,057,412) in Massachusetts from 2011 to 2021, ranged annually between 63,678 and 116,000 prescriptions to between 58,000 and 100,000 unique patients. The cohorts each year ranged between 48 and 56% female with mean ages between 37 and 44 years. There were no differences in the mean number of patients per provider in urban and rural populations in any year. The study sample had a large majority of urban patients (>98%). MME per prescription, days' supply per prescription, and prescriptions received per patient were all generally similar between urban and rural patients each year, with the largest MME per prescription difference in 2019 (87.3 for rural to 73.9 for urban patients, P < .01). From 2011 to 2021, all patients had a steady decrease in MME per prescription (ß = -6.64, 95% confidence interval: -6.81, -6.48; R2 = 0.39) and day's supply per prescription (ß = -0.1, 95% confidence interval: -0.1, -0.09; R2 = 0.37). CONCLUSION: In Massachusetts, there were similar opioid prescribing patterns by oral and maxillofacial surgeons to urban and rural patients from 2011 to 2021. There has also been a steady decrease in the duration and total dosage of opioid prescriptions to all patients. These results are consistent with multiple statewide policies over the last several years aimed at curbing opioid overprescribing.

Interfacility Emergency Department Transfer for Midface Fractures in the United States.

PURPOSE: Interfacility hospital transfer for isolated midfacial fractures is common but rarely clinically necessary. The purpose of this study was to generate nationally representative estimates regarding the incidence, risk factors, and cost of transfer for isolated midface fractures. METHODS: This was a retrospective cohort study using the Nationwide Emergency Department Sample 2018 to identify patients with isolated midface fractures. The primary predictor variable was hospital trauma center designation (Level I, Level II, Level III, and nontrauma center). The primary outcome variable was hospital transfer. Total emergency department (ED) charges were also assessed. Covariates were demographic, medical, injury-related, and hospital characteristics. Descriptive, bivariate, and multiple logistic regression statistics were used to evaluate the incidence and predictors of interfacility transfer. RESULTS: During the study period, there were 161,022 ED encounters with a midface fracture as primary diagnosis, of which 5,680 were transferred (3.53%). In an unadjusted analysis, evaluation at a nontrauma center, level III trauma center, nonteaching hospital, and numerous demographic, medical, and injury-related variables were associated with transfer (P ≤ .001). In the adjusted model, the strongest independent predictors for hospital transfer were evaluation at a nontrauma center (odds ratio [OR] = 16.2, 95% confidence interval [CI] = 13.6-19.4), level III trauma center (OR = 13.4, 95% CI = 11.1-16.1) or level II trauma center (OR = 3.25, 95% CI = 2.66-3.98), any Le Fort fracture (OR = 12.0, 95% CI = 10.4-14.0), orbital floor fracture (OR = 3.73, 95% CI = 3.48-4.00), history of cerebrovascular event (OR = 2.74, 95% CI = 2.18-3.45), and cervical spine injury (OR = 5.87, 95% CI = 4.79-7.20) (P ≤ .001). The average ED charge per encounter was $7,206 ± 9,294 for a total nationwide charge of approximately 1.16 billion dollars. Transferred subjects had total ED charges of $97 million, not including additional charges at the recipient hospital. CONCLUSION: Isolated midface fractures are transferred infrequently, but given the high incidence have substantial healthcare costs. Predictors of transfer were mixed rather than clustered within one variable type, although it is likely that transfers are driven in part by lack of access to maxillofacial specialists given the predominance of hospital covariates. Programs evaluating necessity of transfer and facilitating specialist evaluation in the outpatient setting may reduce healthcare expenditures for these injuries.

Interfacility Emergency Department Transfer for Mandibular Fractures in the United States.

PURPOSE: Interfacility hospital transfer for isolated mandibular fractures is common but rarely clinically necessary. The purpose of this study was to generate nationally representative estimates regarding the incidence, risk factors, and cost of transfer for isolated mandibular fractures. METHODS: This was a retrospective cohort study using the Nationwide Emergency Department Sample 2018 to identify patients with isolated mandibular fractures. The primary predictor variable was hospital trauma center designation (Level I, Level II, Level III, and nontrauma center). The primary outcome variable was hospital transfer. Total emergency department (ED) charges were also assessed. Covariates were demographic, medical, injury-related, and hospital characteristics. Descriptive, bivariate, and multiple logistic regression statistics were used to evaluate the incidence and predictors of interfacility transfer. RESULTS: A total of 28,357 encounters with mandibular fracture as the primary diagnosis were included. Within this cohort there were 2,893 hospital transfers (10.2%). In unadjusted analysis, evaluation at a nontrauma center, level III trauma center, metropolitan nonteaching hospital, nonmetropolitan nonteaching hospital, micropolitan region, and history of cerebrovascular event was associated with hospital transfer (P ≤ .001). In the adjusted model, independent predictors (risk factors) for hospital transfer were evaluation at a nontrauma center (P ≤ .001, odds ratio [OR] = 12.8, 95% confidence interval [CI] = 6.43 to 25.4), level III trauma center (P ≤ .001, OR = 10.7, 95% CI = 5.25 to 21.7), nonmetropolitan nonteaching hospital (P ≤ .001, OR = 2.45, 95% CI = 1.73 to 3.46), metropolitan nonteaching hospital (P ≤ .001, OR = 1.57, 95% CI = 1.20 to 2.06), cervical spine injury (P = .002, OR = 3.53, 95% CI = 1.61 to 7.75), fractures of the mandibular body (P = .007, OR = 1.33, 95% CI = 1.08 to 1.64), and unspecified mandibular fractures (P = .006, OR = 1.49, 95% CI = 1.12 to 1.99). The average ED charge per encounter was $7,482 ± 565 for a total nationwide charge of $212,172,264. Transferred subjects had total ED charges of $25,632,974, not including additional charges incurred at the recipient hospital. CONCLUSION: Isolated mandibular fractures are common injuries that are frequently transferred and cost the healthcare system millions of dollars annually. Hospital characteristics rather than medical or injury-related variables were the strongest predictors of transfer, suggesting that transfers are primarily driven by need to access maxillofacial surgical services. Programs evaluating necessity of transfer and facilitating specialist evaluation in the outpatient setting may reduce healthcare expenditures for this injury.

Evaluation of Accessibility and Content of Oral and Maxillofacial Surgery Fellowship Program Websites.

PURPOSE: Opportunities for graduating oral and maxillofacial surgery residents to pursue fellowship training are expanding. However, there is a paucity of information in the literature for prospective applicants in our specialty. The purpose of this study was to evaluate the accessibility and content of oral and maxillofacial surgery fellowship program websites (FPWs). METHODS: The authors designed a cross-sectional study including oral and maxillofacial surgery fellowship programs in North America listed on 4 major websites: 1) The American Association of Oral and Maxillofacial Surgeons, 2) The American Academy of Craniomaxillofacial Surgeons Match, 3) The American Dental Association, and 4) The American Academy of Cosmetic Surgery. The existence and accessibility of stand-alone FPWs from these listings were assessed. Content scores were generated based on the presence or absence of 23 content variables related to program characteristics, fellow recruitment, and fellow education on listings and available webpages. Descriptive and bivariate statistics were used to evaluate the relationship between predictor variables and content scores. RESULTS: A total of 44 fellowship programs were included. Of these fellowships, 26 (59.1%) had a stand-alone FPW. The mean content score was 10.8 ± 4.82 out of a maximum of 23. Content scores were significantly greater for head and neck oncology fellowships (P ≤ .001), programs with a stand-alone FPW (P ≤ .001), and Commission on Dental Accreditation-accredited programs (P = .046). Programs with a stand-alone FPW had content scores 1.87 times greater than those without and was the predictor variable with the greatest mean difference between groups. There was no significant difference in content scores with respect to geographic region. CONCLUSIONS: Oral and maxillofacial surgery FPWs demonstrate deficiencies in content areas relevant to prospective applicants. Optimizing the content of FPWs may represent an opportunity to better inform and recruit graduating residents into fellowship programs.

Orthognathic Surgery in Older Patients: Is Age Associated With Perioperative Complications?

PURPOSE: The incidence of older patients undergoing orthognathic surgery is increasing. The purpose of this study is to evaluate the association between age and perioperative adverse outcomes in patients undergoing orthognathic surgery. METHODS: This is a retrospective cohort study of patients undergoing orthognathic surgery in the 2011 to 2019 American College of Surgeons National Surgical Quality Improvement Program databases. The primary predictor variable was age group (≥40 or <40 years). The primary outcome variable was adverse outcomes occurring within 30 days of the index operation. Descriptive, bivariate, and Firth logistic regression statistics were utilized to evaluate association between age and adverse outcomes. RESULTS: During the study period, 1,226 patients underwent an orthognathic procedure and 835 subjects were included. Of these subjects, 145 were 40 years or older (17.4%) and 690 were less than 40 years (82.6%). Subjects 40 years or older were more likely to be American Society of Anesthesiologists (ASA) classification II (P ≤ .001), ASA III (P ≤ .001), or diagnosed with obstructive sleep apnea (P ≤ .001). A total of 34 subjects experienced an adverse outcome (4.07%), though there was no significant difference in the incidence of adverse outcomes between age groups (P = .152). In bivariate analysis, hypertension on medication (P = .037), procedure type (P = .001), and segmented Le Fort I osteotomies (P = .039) were associated with adverse outcomes. After controlling for age, hypertension on medication, segmented Le Fort I osteotomies, and diagnosis of obstructive sleep apnea, isolated mandibular osteotomies were the only independent predictors of adverse outcomes (odds ratio 2.64; 95% confidence interval, 1.06 to 7.24; P = .038). Length of stay was 1.38 ± 1.43 days for the 40 years or older group compared to 1.06 ± 1.18 in the <40 group (P = .012). CONCLUSIONS: Despite higher ASA classifications, older patients did not have a significantly greater incidence of perioperative adverse outcomes including airway complications, nor was increased age associated with adverse outcomes in bivariate or multivariate analysis.

Mandibular Fracture Repair in Older Adults: Is Age Associated With Adverse Outcomes?

PURPOSE: The purpose of this study was to measure the association between age and adverse outcomes in patients undergoing open reduction internal fixation (ORIF) of mandibular fractures. METHODS: This was a retrospective cohort study utilizing the American College of Surgeons National Surgical Quality Improvement Program databases (2011 to 2019) to identify patients with mandibular fractures treated with ORIF. The primary predictor variable was age (<45 years, 45 to 54 years, 55 to 64 years, 65 to 74 years, and ≥75 years). The primary outcome variable was surgical complications. Secondary outcome variables included any complication, extended length of stay (LOS ≥95th percentile), and adverse discharge destination. Covariates included demographic, medical, and perioperative covariates. Descriptive, bivariate, and multiple logistic regression statistics were utilized to evaluate the association between age and adverse outcomes. RESULTS: During the study period, 2,843 patients underwent ORIF of a mandibular fracture, and 2,168 subjects were included. There were 1,673 subjects aged <45 years (77.2%), 240 subjects aged 45 to 54 years (11.1%), 155 subjects aged 55 to 64 years (7.10%), 53 subjects aged 65 to 74 years (2.40%), and 47 subjects aged ≥75 years (2.20%). A total of 148 subjects (6.83%) experienced a surgical complication; the incidence of surgical complications increased in a step-wise fashion with each decade of life (P ≤ .001). In bivariate analysis, subjects aged 65 to 74 years were more likely to experience extended LOS (P = .004), whereas subjects aged ≥75 years were more likely to have an extended LOS (P ≤ .001) and an adverse discharge destination (P ≤ .001). In multivariate analysis, age 65 to 74 years was an independent predictor of any complication (P = .032, 95% confidence interval [CI] = 1.08 to 5.37), extended LOS (P = .001, 95% CI = 1.72 to 8.79), and adverse discharge destination (P = .050, 95% CI = 1.00 to 14.4), whereas age ≥75 years was an independent predictor of surgical complications (P = .043, 95% CI = 1.03 to 6.68), any complication (P = .018, 95% CI = 1.20 to 6.75), extended LOS (P = .001, 95% CI = 2.35 to 12.3), and an adverse discharge destination (P ≤ .001, 95% CI = 3.01 to 33.2). CONCLUSIONS: The elderly are at increased risk of adverse outcomes with step-wise increases in the odds of select outcomes with increasing age.

Do Patterns of Opioid Prescriptions to Medicare Beneficiaries Differ Between Oral and Maxillofacial Surgeons Practicing in Urban and Rural Settings?

PURPOSE: This study compared opioid prescription patterns among oral and maxillofacial surgeons (OMSs) treating Medicare beneficiaries in urban and rural settings, in an effort to identify avenues to further promote responsible opioid prescribing in a patient demographic vulnerable to opioid diversion. MATERIALS AND METHODS: This study used Medicare Provider Utilization and Payment Data from 2014 to 2018, focusing on providers labeled as an OMS. Rural-urban commuting area codes were used to categorize each OMS as urban or rural. The demographic variables included total number of OMSs, provider gender, beneficiaries per provider, beneficiaries' age, and beneficiary hierarchal condition category (proxy for clinical complexity). The outcome variables included opioid prescribing rate, opioid claims per provider, opioid claims per beneficiary, and number of days' supply of opioids per claim. Descriptive statistics, χ2 tests, 2-tailed t tests, and Wilcoxon rank-sum tests were used as appropriate. RESULTS: Across all years, the data consisted of mostly urban and male OMSs. The mean number of Medicare beneficiaries prescribed opioids per OMS varied widely, and the mean age of beneficiaries was 70.4 ± 4.4 and 69.9 ± 4.1 years for urban and rural OMSs, respectively. Mean opioid claims per provider were higher among rural OMSs, with large standard deviations among both rural and urban OMSs. However, there were no significant differences in the opioid prescribing rate or in the mean opioid claims per beneficiary in all 5 years included in the study. There were also no clinically significant differences between urban and rural OMSs in the number of days' supply per claim (between 3 and 4 days in all periods). However, in each year, there was a significantly higher proportion of urban OMSs who prescribed more than 7 days' supply per claim. CONCLUSIONS: Opioid prescription practices were generally similar between rural and urban OMSs treating Medicare beneficiaries. The small subset of longer-term opioid prescribers, which were more prevalent in urban areas, warrants further investigation.

Is Preoperative Serum Albumin Predictive of Adverse Surgical Outcomes in Maxillofacial Fracture Repair?

PURPOSE: Malnutrition has been recognized as a predictor of postoperative adverse outcomes across many surgical subspecialties. The purpose of this study was to evaluate the relationship between serum albumin and adverse outcomes in patients undergoing operative repair of maxillofacial fractures. METHODS: The authors utilized the 2011 to 2018 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) databases to identify patients with facial fractures undergoing operative repair. The primary predictor variable was preoperative serum albumin level. Outcome variables included complications and other adverse outcomes occurring within 30 days of the index operation. Descriptive, bivariate, and multiple logistic regression statistics were utilized to evaluate the relationship between serum albumin and adverse outcomes. RESULTS: During the study period 1211 subjects underwent operative repair of a facial fracture and had a documented serum albumin level. Of these subjects, 1037 (85.6%) had normal albumin levels and 174 (14.4%) had hypoalbuminemia. A total of 90 subjects experienced a complication (7.43%), although albumin level was not associated with surgical complications or any complication. In bivariate analysis, subjects with hypoalbuminemia were significantly more likely to have an extended length of stay (P ≤ .001), adverse discharge disposition (P ≤ .001), and be readmitted (P = .002). In multivariate analysis, hypoalbuminemia was an independent predictor of an extended length of stay (P ≤ .001, 95% CI 2.50 to 7.62), adverse discharge disposition (P = .048, 95% CI 1.01 to 3.75), and readmission (P = .041, 95% CI 1.03 to 3.47). CONCLUSIONS: Serum albumin was not an independent predictor of complications after maxillofacial trauma repair. However, it was an independent predictor of other adverse outcomes including extended length of stay, adverse discharge disposition, and readmission. Targeted nutritional optimization may represent an opportunity to improve outcomes in this demographic.

Do Medical Insurance Companies Reimburse Telemedicine Office Visits the Same as In-Person Office Visits in an Academic Oral and Maxillofacial Surgeon Setting?

PURPOSE: The use of telemedicine has grown exponentially over the last decade, but its widespread adoption has been hindered, at least in part, by uncertainty over reimbursement rate for services. The aim of this study is to compare reimbursement rates of telemedicine and in-person visits in an academic oral and maxillofacial surgery practice. METHODS: The investigators implemented a retrospective cohort study. The sample was composed of patients who were treated by the oral-maxillofacial surgery service at the University of Pennsylvania Health System from March 17, 2020 to February 27, 2021. The primary predictor variable was the type of patient visit, either telemedicine or in-person. Patient status, either established or new, was a covariate. The outcome variable was the mean reimbursement-to-charge (RC) ratio. Descriptive and bivariate statistics were computed, and the P value was set at .05. RESULTS: This study included 6,082 submitted claims for 4,045 patients for in-person and telemedicine oral-maxillofacial surgery office visits. The mean reimbursement per insurance payor was $98.07 for a telemedicine visit (mean RC ratio = 0.48 with a standard deviation of ± 0.20) and $109.5 for an in-person visit (mean RC ratio = 0.50 with a standard deviation of ± 0.19). While there was a significant difference between the RC ratio for total telemedicine versus in-person visits (P = .001), the magnitude of the difference was only 2%. When stratifying the comparison by new (P = .73) and established patients (P = .20) for both telemedicine and in-person office visits, there was no significant difference in RC ratios. CONCLUSIONS: The results suggest that there are no major discrepancies in financial reimbursement rate between telemedicine and in-person office visits. Both methods of treatment may be financially effective for oral-maxillofacial surgery providers. Future studies can compare reimbursement rates among different insurance providers and among different institutions in the United States.

Oral health and oral health care use among able-bodied adults enrolled in Medicaid in Kentucky after Medicaid expansion: A mixed methods study.

BACKGROUND: Oral health care use remains low among adult Medicaid recipients, despite the Patient Protection and Affordable Care Act's expansion increasing access to care in many states. It remains unclear the extent to which low use reflects either low demand for care or barriers to accessing care. The authors aimed to examine factors associated with low oral health care use among adults enrolled in Medicaid. METHODS: The authors conducted a survey from May through September 2018 among able-bodied (n = 9,363) Medicaid recipients who were aged 19 through 65 years and nondisabled childless adults in Kentucky. The survey included questions on perceived oral health care use. Semistructured interviews were also conducted from May through November 2018 among a subset of participants (n = 127). RESULTS: More than one-third (37.8%) of respondents reported fair or poor oral health, compared with 26.2% who reported fair or poor physical health. Although 47.6% of respondents indicated needing oral health care in the past 6 months, only one-half of this group reported receiving all of the care they needed. Self-reported barriers included lack of coverage for needed services and lack of access to care (for example, low provider availability and transportation difficulties). CONCLUSIONS: Low rates of oral health care use can be attributed to a subset of the study population having low demand and another subset facing barriers to accessing care. Although Medicaid-covered services might be adequate for beneficiaries with good oral health, those with advanced dental diseases and a history of irregular care might benefit from coverage for more extensive restorative services. PRACTICAL IMPLICATIONS: These results can inform dentists and policy makers about how to design effective interventions and policies to improve oral health care use and oral health outcomes.

Does prescription drug monitoring program usage affect opioid analgesic prescriptions by oral and maxillofacial surgeons after third molar surgery?

OBJECTIVE: To curb opioid overprescription and diversion, 49 states have implemented mandatory prescription drug monitoring programs (PDMPs). This study aims to examine the changes in analgesic prescription patterns associated with mandatory PDMP usage by oral and maxillofacial surgeons. DESIGN: This retrospective observational cohort study analyzed analgesic prescriptions after third molar surgeries from the University of Pennsylvania from July 2016 to December 2019. Because Pennsylvania mandated PDMP usage on January 1, 2017, we analyzed prescriptions 6 months prior to and for each 6-month interval after implementation. RESULTS: Prescriptions after 13,430 procedures on 6437 patients across 7 6-month periods were analyzed. Patients in all study periods had an average age of 40 years and there was a slight majority of females. After PDMP implementation, patients who received analgesics had an 80% lower odds of receiving an opioid option after adjusting for age, sex, and procedural severity. When an opioid was prescribed, the mean pills per script decreased from 20.18 to 10.96 1 year after PDMP implementation. CONCLUSIONS: Mandatory PDMP usage was associated with decreased odds of a patient receiving an opioid analgesic and with a decrease in mean opioid pills per script. PDMPs may be helpful in reducing opioid prescriptions by oral and maxillofacial surgeons after third molar surgery.