Influence of Opioid Prescription Policy on Overdoses and Related Adverse Effects in a Primary Care Population.

BACKGROUND: In response to the opioid epidemic, many states have enacted policies limiting opioid prescriptions. There is a paucity of evidence of the impact of opioid prescribing interventions in primary care populations, including whether unintended consequences arise from limiting the availability of prescribed opioids. OBJECTIVE: Our aim was to compare changes in opioid overdose and related adverse effects rate among primary care patients following the implementation of state-level prescribing policies. DESIGN: A cohort of primary care patients within an interrupted time series model. PARTICIPANTS: Electronic medical record data for 62,776 adult (18+ years) primary care patients from a major medical center in Vermont from January 1, 2016, to June 30, 2018. INTERVENTIONS: State-level opioid prescription policy changes limiting dose and duration. MAIN MEASURES: Changes in (1) opioid overdose rate and (2) opioid-related adverse effects rate per 100,000 person-months following the July 1, 2017, prescription policy change. KEY RESULTS: Among primary care patients, there was no change in opioid overdose rate following implementation of the prescribing policy (incidence rate ratio; IRR: 0.64, 95% confidence interval; CI: 0.22-1.88). There was a 78% decrease in the opioid-related adverse effects rate following the prescribing policy (IRR: 0.22, 95%CI: 0.09-0.51). This association was moderated by opioid prescription history, with decreases observed among opioid-naïve patients (IRR: 0.18, 95%CI: 0.06-0.59) and among patients receiving chronic opioid prescriptions (IRR: 0.17, 95%CI: 0.03-0.99), but not among those with intermittent opioid prescriptions (IRR: 0.51, 95%CI: 0.09-2.82). CONCLUSIONS: Limiting prescription opioids did not change the opioid overdose rate among primary care patients, but it reduced the rate of opioid-related adverse effects in the year following the state-level policy change, particularly among patients with chronic opioid prescription history and opioid-naïve patients. Limiting the quantity and duration of opioid prescriptions may have beneficial effects among primary care patients.

Electronic medical record-based interventions to encourage opioid prescribing best practices in the emergency department.

OBJECTIVE: Overdose from opioids has reached epidemic proportions. Large healthcare systems can utilize existing technology to encourage responsible opioid prescribing practices. Our study measured the effects of using the electronic medical record (EMR) with direct clinician feedback to standardize opioid prescribing practices within a large healthcare system. METHODS: This retrospective multicenter study compared a 12 month pre- and post-intervention in 14 emergency departments after four interventions utilizing the EMR were implemented: (1) deleting clinician preference lists, (2) defaulting dose, frequency, and quantity, (3) standardizing formulary to encourage best practices, and (4) creating dashboards for clinician review with current opioid prescribing practices. Outlying clinicians received feedback through email and direct counseling. Total number of opioid prescriptions per 100 discharges pre- and post-intervention were recorded as primary outcome. Secondary outcomes included number of prescriptions per 100 discharges/clinician exceeding 3-day supply (defined as 12 tablets), number exceeding 30 morphine equivalent daily dose (MEDD)/day, and number of non-formulary prescriptions. RESULTS: There were >700,000 discharges during pre- and post-intervention periods. Percentage of total number opioid prescriptions per 100 discharges decreased from 14.4% to 7.4%, a 7.0% absolute reduction, (95% CI,6.9%-7.2%). There was a 5.9% to 0.7% reduction in prescriptions exceeding 3-days, (95% CI, 5.1%-5.3%), a 4.3% to 0.3% reduction in prescriptions exceeding 30 MEDD, (95% CI, 3.9%-4.0%), and a 0.3% to 0.1% reduction in non-formulary prescriptions, (95% CI, 0.2%-0.3%). CONCLUSIONS: A multi modal approach using EMR interventions which provide real time data and direct feedback to clinicians can facilitate appropriate opioid prescribing.

Changes in Provider Prescribing Patterns After Implementation of an Emergency Department Prescription Opioid Policy.

BACKGROUND: Prescription opioid-associated abuse and overdose is a significant cause of morbidity and mortality in the United States. Opioid prescriptions generated from emergency departments (EDs) nationwide have increased dramatically over the past 20 years, and opioid-related overdose deaths have become an epidemic, according to the Centers for Disease Control and Prevention. OBJECTIVE: Our aim was to determine the effectiveness of implementing a prescription policy for opioids on overall opioid prescribing patterns in a hospital ED. METHODS: The ED provider group of an academic, non-university-affiliated urban hospital with 23,000 annual patient visits agreed to opioid prescribing guidelines for chronic pain with the goal of limiting prescriptions that may be used for abuse or diversion. These guidelines were instituted in the ED through collaborative staff meetings and educational and training sessions. We used the electronic medical record to analyze the number and type of opioid discharge prescriptions during the study period from 2006-2014, before and after the prescribing guidelines were instituted in the ED. RESULTS: The number of patients discharged with a prescription for opioids decreased 39.6% (25.7% to 15.6%; absolute decrease 10.2%; 95% confidence interval [CI] 9.6-10.7; p < 0.001) after the intervention. The improvements were sustained 2.5 years after the intervention. Decreases were seen in all major opioids (hydrocodone, oxycodone, hydromorphone, and codeine). The number of pills per prescription also decreased 14.8%, from 19.5% to 16.6% (absolute decrease 2.9; 95% CI 2.6-3.1; p < 0.001). CONCLUSIONS: Implementation of an ED prescription opioid policy was associated with a significant reduction in total opioid prescriptions and in the number of pills per prescription.

Prescription opioid policies and associations with opioid overdose and related adverse effects.

BACKGROUND: United States (US) policies to mitigate the opioid epidemic focus on reducing access to prescription opioids to prevent overdoses. We examined the impact of state policies in Vermont (July 2017) and Maine (July 2016) on opioid overdoses and opioid-related adverse effects. METHODS: Study population included patients 15 years and older in all-payer claims of Vermont (N = 597,683; Jan.2016-Dec.2018) and Maine (N = 1,370,960; Oct.2015-Dec.2017). We used interrupted time series analyses to assess the impact of opioid prescribing policies on monthly opioid overdose rate and opioid-related adverse effects rate. We used the International Classification of Disease-10-CM to identify overdoses (T40.0 × 1-T40.4 × 4, T40.601-T40.604, T40.691-T40.694) and adverse effects (T40.0 × 5, T40.2 × 5-T40.4 × 5, T40.605, T40.695). RESULTS: Immediately after the policy, the level of Vermont's opioid overdose rate increased by 34% (95% confidence interval, CI: 1.09, 1.65) while the level of opioid-related adverse effects rate decreased by 29% (95% CI: 0.58, 0.87). In Maine, there was no level change in opioid overdose rate, but the slope of the adverse effects rate after the policy decreased by 3.5% (95% CI: 0.94, 0.99). These results varied within age and rurality subgroups in both states. CONCLUSION: While the decrease in rate of adverse effects following the policy changes is promising, the increase in Vermont's opioid overdose rate may suggest there is an association between policy implementation and short-term risk to public health.

Urinary tract infection: aetiology and antimicrobial resistance pattern in infants from a tertiary care hospital in northern India.

INTRODUCTION: Urinary tract infection (UTI) is one of the most common bacterial infections in childhood. Present study was undertaken to determine the occurrence of the uropathogens and their antimicrobial susceptibility pattern in infants (< 1yr) suspected with UTI. MATERIALS AND METHODS: This study was conducted in the Microbiology Department on urine samples received from infants for a period of two years from September 2011 to August 2013. RESULTS: Culture positivity rate was found to be 15.7%. There was an overall male preponderance in cases of UTI (70.1%). Most common bacterial isolate was E.coli (45.4%) followed by Klebsiella (16.7%) and Enterococcus spp (13.2%). Isolation of candida was 21.1%, maximum from ICU (63.1%). Maximum gram negative isolates (50%) showed high resistance to gentamicin, amikacin, cefotaxime and norfloxacin while most of the isolates (5%) were found susceptible to nitrofurantoin and piperacillin-tazobactam. 45.1% of gram negative bacilli were ESBL producer. We recommend continuous monitoring of changes in bacterial pathogens causing UTI and antibiotic sensitivity in each area for effective treatment of UTI. CONCLUSION: Since antimicrobial resistance is a major problem, such study will help in formulating a strict antibiotics prescription policy in our country.