Dataset Information

Opioid prescribing patterns after dental visits among beneficiaries of Medicaid in Washington state in 2014 and 2015.

ABSTRACT: BACKGROUND:Dentists contribute to the prevailing opioid epidemic in the United States. Concerning the population enrolled in Medicaid, little is known about dentists' opioid prescribing. METHODS:The authors performed a retrospective cohort study of beneficiaries of Medicaid in Washington state with dental claims in 2014 and 2015. The primary outcome was the proportion of dental visits associated with an opioid prescription. The authors categorized visits as invasive or noninvasive by using procedure codes and each beneficiary as being at low or high risk by using his or her prescription history from the prescription drug monitoring program. RESULTS:A total of 126,660 (10.3%) of all dental visits, most of which were invasive (66.9%), among the population enrolled in Medicaid in Washington state was associated with opioid prescriptions. However, noninvasive dental visits and visits for beneficiaries who had prior high-risk prescription use were associated with significantly higher mean days' supply and mean quantity of opioids prescribed. Results from the multivariate logistic regression showed that the probability of having an opioid-associated visit increased by 35.6 percentage points when the procedures were invasive and by 11.1 percentage points when the beneficiary had prior high-risk prescription use. CONCLUSIONS:This baseline of opioid prescribing patterns after dental visits among the population enrolled in Medicaid in Washington state in 2014 and 2015 can inform future studies in which the investigators examine the effect of policies on opioid prescribing patterns and reasons for the variability in the dosage and duration of opioid prescriptions associated with noninvasive visits. PRACTICAL IMPLICATIONS:Dentists must exercise caution when prescribing opioids during invasive visits and to patients with prior high-risk prescription use.

SUBMITTER: Obadan-Udoh E

PROVIDER: S-EPMC6519087 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Opioid prescribing patterns after dental visits among beneficiaries of Medicaid in Washington state in 2014 and 2015.

Obadan-Udoh Enihomo E Lupulescu-Mann Nicoleta N Charlesworth Christina J CJ Muench Ulrike U Jura Matthew M Kim Hyunjee H Schwarz Eli E Mertz Elizabeth E Sun Benjamin C BC

Journal of the American Dental Association (1939) 20190401 4

<h4>Background</h4>Dentists contribute to the prevailing opioid epidemic in the United States. Concerning the population enrolled in Medicaid, little is known about dentists' opioid prescribing.<h4>Methods</h4>The authors performed a retrospective cohort study of beneficiaries of Medicaid in Washington state with dental claims in 2014 and 2015. The primary outcome was the proportion of dental visits associated with an opioid prescription. The authors categorized visits as invasive or noninvasive ...[more]

PMID: 30922457

Similar Datasets

Project description:Background/objectivesPsychotropic and opioid medications are routinely prescribed for symptom management in hospice, but national estimates of prescribing are lacking. Changes in Medicare hospice payment in 2014 provide the first opportunity to examine psychotropic and opioid prescribing among hospice beneficiaries, and the factors associated with use of specific medication classes.DesignCross-sectional analysis of a 20% sample of traditional and managed Medicare with Part D enrolled in hospice, 2014-2016.SettingBeneficiaries enrolled in the Medicare hospice benefit.ParticipantsMedicare beneficiaries ≥65 newly enrolled in hospice between July 1, 2014 and December 31, 2016 (N = 554,022).Main outcomePrevalence of psychotropic and opioid medication prescribing by class and factors associated with prescribing.Results70.3% of hospice beneficiaries were prescribed a psychotropic and 63.3% were prescribed an opioid. The most common psychotropic classes prescribed were: benzodiazepines (60.6%), antipsychotics (38.3%), antidepressants (18.4%), and antiepileptics (10.2%). Lorazepam (56.4%), morphine (52.8%), and haloperidol (28.6%) were received by the most beneficiaries. Prevalence of any psychotropic and opioid prescription was highest among beneficiaries who were female (76.7%), non-Hispanic white (76.6%), and those with cancer (78.9%). Compared to white beneficiaries, non-Hispanic black beneficiaries were less likely to receive nearly every class of medication, with significantly lower odds of receiving opioids (64.1% vs 57.9%; AOR 0.75, 95% CI 0.72-0.77) and benzodiazepines (61.6% vs 52.2%; AOR 0.66, 95% CI 0.64-0.68). Differences were seen across hospice diagnosis; those with cancer were more likely to receive opioids, benzodiazepines, and antipsychotics but less likely to receive antidepressants and antiepileptics.ConclusionsPsychotropic and opioid medications are frequently prescribed in hospice. Observed variations in prescribing across race and ethnicity may reflect disparities in prescribing as well as patient preferences for care. Further work is important to understand factors driving prescribing given limited studies surrounding medication prescribing in hospice.

Project description:ObjectiveLive interactive telemedicine is increasingly covered by state Medicaid programs, but whether telemedicine is improving equity in utilization of subspecialty care is not known. We examined patterns of telemedicine use for outpatient pediatric subspecialty care within the state Medicaid programs.MethodsWe identified children ≤17 years old in 2014 Medicaid Analysis eXtract data for 12 states. We identified telemedicine-using and telemedicine-nonusing medical and surgical subspecialists. Among children cared for by telemedicine-using subspecialists, we assessed child and subspecialist characteristics associated with any telemedicine visit using logistic regression with subspecialist-level random effects. Among children cared for by telemedicine-using and nonusing subspecialists, we compared visit rates across child characteristics by assessing negative binomial regression interaction terms.ResultsOf 12,237,770 pediatric Medicaid beneficiaries, 2,051,690 (16.8%) had ≥1 subspecialist visit. Of 42,695 subspecialists identified, 146 (0.3%) had ≥1 telemedicine claim. Among children receiving care from telemedicine-using subspecialists, likelihood of any telemedicine use was increased for rural children (odds ratio [OR] 10.4, 95% confidence interval [CI] 6.3-17.1 compared to large metropolitan referent group) and those >90 miles from the subspecialist (OR 13.4, 95% CI 10.2-17.7 compared to 0-30 mile referent group). Compared to children receiving care from telemedicine-nonusing subspecialists, matched children receiving care from telemedicine-using subspecialists had larger differences in visit rates by distance to care, county rurality, ZIP code median income, and child race/ethnicity (P < .001 for interaction terms).ConclusionsChildren in rural communities and at distance to subspecialists had increased likelihood of telemedicine use. Use overall was low, and results indicated that early telemedicine policies and implementation did not close disparities in subspecialty visit rates by child geographic and sociodemographic characteristics.

Project description:ObjectiveTo test associations between several opioid prescribing policy interventions and changes in early (acute/subacute) high-risk opioid prescribing practices.Data sourcesPopulation-based workers' compensation pharmacy billing and claims data, Washington State Department of Labor and Industries (January 2008-June 2015).Study designWe used interrupted time series analysis to test associations between three policy intervention timepoints and monthly proportions of population-based measures of high-risk, low-risk, and any workers' compensation-related opioid prescribing. We also tested associations between the policy intervention timepoints and five high-risk opioid prescribing indicators among workers prescribed any opioids within 3 months after injury: (a) >7 cumulative (not necessarily consecutive) days' supply of opioids during the acute phase, (b) high-dose opioids, (c) concurrent sedatives, (d) chronic opioids, and (e) a composite high-risk opioid prescribing indicator.Principal findingsWithin 3 months after injury, 9 percent of workers were exposed to high-risk and 12 percent to low-risk workers' compensation-related opioid prescribing; 79 percent filled no workers' compensation-related opioid prescription. Among workers prescribed any early (acute/subacute) opioids, the indicator for >7 days' supply of opioids during the acute phase was present for 30 percent, high-dose opioids for 18 percent, concurrent sedatives for 3 percent, and chronic opioids for 2 percent. Beyond a general shift toward more infrequent and lower-risk workers' compensation-related opioid prescribing, each policy intervention timepoint was significantly associated with reductions in specific acute/subacute high-risk opioid prescribing indicators; each of the four specific high-risk opioid prescribing indicators had significant reductions associated with at least one policy.ConclusionsSeveral state-level opioid prescribing policies were significantly associated with safer workers' compensation-related opioid prescribing practices during the first 3 months after injury (acute/subacute phase), which should in turn reduce transition to chronic opioids and associated negative health outcomes.

Project description:BackgroundThere is a well-established need for population-based screening strategies to identify people at risk of suicide. Because only about half of suicide decedents are ever diagnosed with a behavioral health condition, it may be necessary for providers to consider life circumstances that may also put individuals at risk. This study described the alignment of medical diagnoses with life circumstances by identifying suicide typologies among decedents. Demographics, stressful life events, suicidal behavior, perceived and diagnosed health problems, and suicide method contributed to the typologies.MethodsThis study linked North Carolina Medicaid and North Carolina Violent Death Reporting System (NC-VDRS) data for analysis in 2020. For suicide decedents from 2014 to 2017 aged 25-54 years, we analyzed 12 indicators of life circumstances from NC-VDRS and 6 indicators from Medicaid claims, using a latent class model. Separate models were developed for men and women.ResultsMost decedents were White (88.3%), with a median age of 41, and over 70% had a health care visit in the 90 days prior to suicide. Two typologies were identified in both males (n = 175) and females (n = 153). Both typologies had similar profiles of life circumstances, but one had high probabilities of diagnosed behavioral health conditions (45% of men, 71% of women), compared to low probabilities in the other (55% of men, 29% of women). Black beneficiaries and men who died by firearm were over-represented in the less-diagnosed class, though estimates were imprecise (odds ratio for Black men: 3.1, 95% confidence interval: 0.8, 12.4; odds ratio for Black women: 5.0, 95% confidence interval: 0.9, 31.2; odds ratio for male firearm decedents: 1.6, 95% confidence interval: 0.7, 3.4).ConclusionsNearly half of suicide decedents have a typology characterized by low probability of diagnosis of behavioral health conditions. Suicide screening could likely be enhanced using improved indicators of lived experience and behavioral health.

Project description:ObjectiveIt has been established that most patients prescribed opioids after minor surgery have tablets left over, better understanding the variation in opioid prescribing and variation in dosage of the prescription could guide efforts to reduce prescribing. This study describes the state-level variation in opioid prescribing after a knee arthroscopy among opioid-naïve patients.DesignRetrospective cohort study.SettingCommercial insurance claims data.Participants98 623 individual across the USA with commercial insurance who were opioid-naïve and had a knee arthroscopy between 2015 and 2019.ExposurePatients who filled an opioid prescription within 3 days of a knee arthroscopy.Outcome measuresOpioid prescriptions were measured as a pharmacy claim for filling an opioid within 3 days of a knee arthroscopy. We measured the patient and state-level opioid prescribing rate, tablet count, morphine milligram equivalent dose per prescription and risk-adjusted predicted opioid quantity.ResultsOverall, 72% of patients filled an opioid prescription with a median tablet count of 40 and median morphine milligram equivalent of 250. Patients with an invasive procedure (27.9% vs 22.4%; p<0.001), higher education level (p<0.001) and fewer comorbidities (0.9 vs 1.2, p<0.001) had higher rates of opioid prescribing. The prescribing rate in the highest state, Nebraska (85%), was double the prescribing rate in the lowest state, South Dakota (40%). Comparing the casemix adjusted expected prescribing rate to the observed prescribing rate displayed that 18 states had observed prescribing rates that were higher than their expected prescribing rates.ConclusionWide variation in the likelihood of receiving a prescription, depending on state of residence, was observed. The dosages prescribed were high and have been associated with transition to long-term use. These findings suggest that there is substantial opportunity for the development of guidelines to reduce variability in opioid prescribing for this common ambulatory procedure.

Dataset Information

Opioid prescribing patterns after dental visits among beneficiaries of Medicaid in Washington state in 2014 and 2015.

Publications

Opioid prescribing patterns after dental visits among beneficiaries of Medicaid in Washington state in 2014 and 2015.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets