Opioid Prescribing at Hospital Discharge Contributes to Chronic Opioid Use.
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ABSTRACT: Background
Chronic opioid therapy for chronic pain treatment has increased. Hospital physicians, including hospitalists and medical/surgical resident physicians, care for many hospitalized patients, yet little is known about opioid prescribing at hospital discharge and future chronic opioid use.Objective
We aimed to characterize opioid prescribing at hospital discharge among 'opioid naïve' patients. Opioid naïve patients had not filled an opioid prescription at an affiliated pharmacy 1 year preceding their hospital discharge. We also set out to quantify the risk of chronic opioid use and opioid refills 1 year post discharge among opioid naïve patients with and without opioid receipt at discharge.Design
This was a retrospective cohort study.Participants
From 1 January 2011 to 31 December 2011, 6,689 opioid naïve patients were discharged from a safety-net hospital.Main measure
Chronic opioid use 1 year post discharge.Key results
Twenty-five percent of opioid naïve patients (n?=?1,688) had opioid receipt within 72 hours of discharge. Patients with opioid receipt were more likely to have diagnoses including neoplasm (6.3% versus 3.5%, p?ConclusionOpioid receipt at hospital discharge among opioid naïve patients increased future chronic opioid use. Physicians should inform patients of this risk prior to prescribing opioids at discharge.
SUBMITTER: Calcaterra SL
PROVIDER: S-EPMC4835366 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Publications
Opioid Prescribing at Hospital Discharge Contributes to Chronic Opioid Use.
Calcaterra Susan L SL Yamashita Traci E TE Min Sung-Joon SJ Keniston Angela A Frank Joseph W JW Binswanger Ingrid A IA
Journal of general internal medicine 20160501 5
<h4>Background</h4>Chronic opioid therapy for chronic pain treatment has increased. Hospital physicians, including hospitalists and medical/surgical resident physicians, care for many hospitalized patients, yet little is known about opioid prescribing at hospital discharge and future chronic opioid use.<h4>Objective</h4>We aimed to characterize opioid prescribing at hospital discharge among 'opioid naïve' patients. Opioid naïve patients had not filled an opioid prescription at an affiliated phar ...[more]
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Project description:BackgroundThe epidemic of nonmedical use of prescription opioids has been fueled by the availability of legitimately prescribed unconsumed opioids. The aim of this study was to better understand the contribution of prescriptions written for pediatric patients to this problem by quantifying how much opioid is dispensed and consumed to manage pain after hospital discharge, and whether leftover opioid is appropriately disposed of. Our secondary aim was to explore the association of patient factors with opioid dispensing, consumption, and medication remaining on completion of therapy.MethodsUsing a scripted 10-minute interview, parents of 343 pediatric inpatients (98% postoperative) treated at a university children's hospital were questioned within 48 hours and 10 to 14 days after discharge to determine amount of opioid prescribed and consumed, duration of treatment, and disposition of unconsumed opioid. Multivariable linear regression was used to examine predictors of opioid prescribing, consumption, and doses remaining.ResultsMedian number of opioid doses dispensed was 43 (interquartile range, 30-85 doses), and median duration of therapy was 4 days (interquartile range, 1-8 days). Children who underwent orthopedic or Nuss surgery consumed 25.42 (95% confidence interval, 19.16-31.68) more doses than those who underwent other types of surgery (P < .001), and number of doses consumed was positively associated with higher discharge pain scores (P = .032). Overall, 58% (95% confidence interval, 54%-63%) of doses dispensed were not consumed, and the strongest predictor of number of doses remaining was doses dispensed (P < .001). Nineteen percent of families were informed how to dispose of leftover opioid, but only 4% (8 of 211) did so.ConclusionsPediatric providers frequently prescribed more opioid than needed to treat pain. This unconsumed opioid may contribute to the epidemic of nonmedical use of prescription opioids. Our findings underscore the need for further research to develop evidence-based opioid prescribing guidelines for physicians treating acute pain in children.
| S-EPMC5728167 | biostudies-literature
Project description:PURPOSE OF REVIEW:Overprescribing opioids contributes to the epidemic of drug overdoses and deaths in the United States. Opioids are commonly prescribed after childbirth especially after caesarean, the most common major surgery. This review summarizes recent literature on patterns of opioid overprescribing and consumption after childbirth, the relationship between opioid prescribing and chronic opioid use, and interventions that can help reduce overprescribing. RECENT FINDINGS:It is estimated that more than 80% of women fill opioid prescriptions after caesarean birth and about 54% of women after vaginal birth, although these figures vary greatly by geographical location and setting. After opioid prescriptions are filled, the median number of tablets used after caesarean is roughly 10 tablets and the majority of opioids dispensed (median 30 tablets) go unused. The quantity of opioid prescribed influences the quantity of opioid used. The risk of chronic opioid use related to opioid prescribing after birth may seem not high (annual risk: 0.12-0.65%), but the absolute number of women who are exposed to opioids after childbirth and become chronic opioid users every year is very large. Tobacco use, public insurance and depression are associated with chronic opioid use after childbirth. The risk of chronic opioid use among women who underwent caesarean and received opioids after birth is not different from the risk of women who received opioids after vaginal delivery. SUMMARY:Women are commonly exposed to opioids after birth. This exposure leads to an increased risk of chronic opioid use. Physician and providers should judiciously reduce the amount of opioids prescribed after childbirth, although more research is needed to identify the optimal method to reduce opioid exposure without adversely affecting pain management.
| S-EPMC7195695 | biostudies-literature
Project description:BackgroundLeftover pills from postoperative opioid prescriptions place patients and members of their communities at risk for opioid misuse. We aimed to better understand patients' post-discharge opioid consumption patterns to inform new methods of postoperative opioid prescribing.MethodsWe assessed post-discharge opioid consumption of general surgery patients and assessed the adequacy of discharge opioid prescriptions. We then compared patient opioid consumption to a number of theoretical discharge prescriptions based on different opioid prescribing guidelines and a proposed discharge prescription based on the metric 24-h pre-discharge opioid consumption (PDOC).Results62/99 patients (62.6%) returned an opioid log book. Median 24-h PDOC was 22.5 MME (IQR 5.0-45.0) and median discharge prescription size was 15 pills (IQR:10-20). Prescriptions were adequate for 83.7% of patients. The median number of pills used was 3 (IQR:0-11) and median time to opioid cessation was 3 days (IQR:0-5). Actual prescriptions were consistent with national opioid prescribing guidelines. Prescriptions based on the formula 2 × 24-h PDOC would have decreased the number of leftover pills by 7.5 per patient.ConclusionsDespite prescribing opioids consistent with national opioid prescribing guidelines, patients still receive too many pills. Improved opioid prescribing could be accomplished by use of the formula 2 × 24-h PDOC.
| S-EPMC9213576 | biostudies-literature
Project description:Rationale: Patients who receive invasive mechanical ventilation (IMV) are usually exposed to opioids as part of their sedation regimen. The rates of posthospital prescribing of opioids are unknown.Objectives: To determine the frequency of persistent posthospital opioid use among patients who received IMV.Methods: We assessed opioid-naive adults who were admitted to an ICU, received IMV, and survived at least 7 days after hospital discharge in Ontario, Canada over a 26-month period (February, 2013 through March, 2015). The primary outcome was new, persistent opioid use during the year after discharge. We assessed factors associated with persistent use by multivariable logistic regression. Patients receiving IMV were also compared with matched hospitalized patients who did not receive intensive care (non-ICU).Measurements and Main Results: Among 25,085 opioid-naive patients on IMV, 5,007 (20.0%; 95% confidence interval [CI], 19.5-20.5) filled a prescription for opioids in the 7 days after hospital discharge. During the next year, 648 (2.6%; 95% CI, 2.4-2.8) of the IMV cohort met criteria for new, persistent opioid use. The patient characteristic most strongly associated with persistent use in the IMV cohort was being a surgical (vs. medical) patient (adjusted odds ratio, 3.29; 95% CI, 2.72-3.97). The rate of persistent use was slightly higher than for matched non-ICU patients (2.6% vs. 1.5%; adjusted odds ratio, 1.37 [95% CI, 1.19-1.58]).Conclusions: A total of 20% of IMV patients received a prescription for opioids after hospital discharge, and 2.6% met criteria for persistent use, an average of 300 new persistent users per year in a population of 14 million. Receipt of surgery was the factor most strongly associated with persistent use.
| S-EPMC7427379 | biostudies-literature
Project description:BackgroundThe opioid epidemic and new Joint Commission standards around opioid stewardship have made the appropriate prescribing of opioids a priority. A knowledge gap exists pertaining to the short-term prescription of opioids at hospital discharge for acute pain in non-surgical patients.ObjectiveTo characterize the quantity, type, and indication of opioids prescribed for non-surgical patients on hospital discharge and subsequent patient utilization.DesignThis multicenter, single-health system retrospective cohort study was conducted for quality improvement purposes from December 2019 to May 2020 with patient follow-up 15 to 29 days after hospital discharge.ParticipantsPatients discharged from a medicine service with new opioid prescriptions, defined as no opioid prescription documented within the past 90 days, were identified as eligible through the electronic health record. Surveys were attempted until a total of 200 were completed, with 374 surveys attempted and a 53% response rate.InterventionPatients were contacted via phone and surveyed post-discharge. Surveys consisted of 28 questions and assessed opioid consumption, duration of use, refills, patient satisfaction, and opioid disposal.Main measuresPrescribing indications and morphine milligram equivalents (MME) quantities were collected for patients at discharge. Subsequently, the quantity of prescribed opioids utilized, remaining, and disposed of post-discharge were collected via patient self-reported survey responses.Key resultsIndications for opioid prescribing for 200 surveyed patients were grouped into eight broad prescribing categories. A median of 112.5 total MME was prescribed to patients at hospital discharge. Median MME consumed for surveyed patients was 45. The median total MME remaining at time of survey was 35 MME. Only 5.9% of patients who had leftover opioids reported disposal of the medication.ConclusionsGiven the observed variation in opioid prescribing and utilization data, standardized indication-based opioid prescribing guidance in the non-surgical medical population would help curb the amount of opioids that remain unused post-discharge.
| S-EPMC8858354 | biostudies-literature
Project description:IntroductionOpioid-based analgesic therapy represents a cornerstone of pain management after surgery. The recent rise in opioid sales and opioid overdoses suggests it is important to maximize the safety of opioid prescribing after surgery. Given that patients may live with other family members in the home, safe storage and appropriate disposal of excess opioids after hospital discharge are necessary to prevent unintended secondary exposures. Identifying characteristics of patients who are likely to be prescribed excess opioids after surgery may enable more targeted prescription practices and safety interventions. Our study aimed to elucidate patient-reported opioid use patterns and modes of home storage of opioids among patients discharged home after Cesarean section (C-section) and thoracic surgery. Specifically, we sought to identify characteristics of patients who reported using about half or more versus less of the opioids prescribed to them for use after hospital discharge.MethodsFor this cohort study, we developed a survey on quality of analgesia following hospital discharge, amounts of opioids taken relative to the amount prescribed, reasons for not taking all prescribed medications, and storage and disposal methods for leftover opioids. Adult patients, who had C-section or thoracic surgery at a tertiary academic medical center, were given a web-based self-administered survey after discharge. Descriptive statistics (means and standard deviations, proportions) were used to describe the study sample and survey results. Comparisons between patients who reported taking about half or more versus less of the opioids prescribed to them for use after hospital discharge were made using unpaired t-tests, Mann-Whitney tests, and Chi-square tests as appropriate.ResultsThe majority (53%) of respondents after C-section (N = 30) reported taking either no or very few (less than 5) prescribed opioid pills; 83% reported taking half or less; and 17% of women, reported taking all or nearly all (5 or fewer pills left over) of their opioid prescription. In a cohort of patients after thoracic surgery (n = 31) 45% reported taking either no or very few (5 or less) prescribed opioid pills; 71% reported taking half or less; and 29% of patients reported taking all or nearly all (5 or fewer pills left over) of their opioid prescription. In both cohorts, use of opioids while hospitalized was higher in the group reporting using about half or more of prescribed opioids after discharge. Leftover opioids were stored in an unlocked location in 77% and 73% of cases following C-section and thoracic surgery, respectively.ConclusionOur findings from surveys in two distinct patient populations at a single academic medical center suggest that current opioid prescribing practices for pain management at hospital discharge following Cesarean section and thoracic surgery may not account for individual patients' analgesic requirements. Excess opioid pills are commonly stored in unsecured locations and represent a potential source for non-medical opioid use and associated morbidity and mortality in patients and their families. Research to develop goal-directed and patient-centered post-discharge opioid prescription practices and encourage opioid safety practices after surgery is needed.
| S-EPMC4732746 | biostudies-literature
Project description:Comprehensive mandates for prescription drug monitoring programs (PDMPs) require state-licensed prescribers and dispensers both to register with and to use the programs in most clinical circumstances. Such mandates have the potential to improve providers' participation and reduce opioid-related adverse events. Using Medicaid prescription data and hospital utilization data across the US in the period 2011-16, we found that state implementation of comprehensive PDMP mandates was associated with a reduction in the opioid prescription rate from 161.47 to 147.07 per 1,000 enrollees per quarter, a reduction in the opioid-related inpatient stay rate from 97.50 to 93.34 per 100,000 enrollees per quarter, and a reduction in the opioid-related emergency department (ED) visit rate from 74.60 to 61.36 per 100,000 enrollees per quarter. Our estimated annual reductions of approximately 12,000 inpatient stays and 39,000 ED visits could save over $155 million in Medicaid spending, a fact that deserves policy attention when states attempt to strengthen and refine PDMPs to better tackle the opioid crisis.
| S-EPMC6824582 | biostudies-literature
Project description:A quality improvement initiative was conducted to provide guidelines for opioid prescribing following mastectomy with immediate reconstruction. Patients undergoing mastectomy with concurrent tissue expander reconstruction were surveyed at their first postoperative visit to determine use of pain medication, satisfaction, and refill rates. Opioid prescriptions were converted to total oral morphine milligram equivalents (MMEs). Guidelines for postdischarge prescriptions were developed. During phase I, 16 patients were surveyed to determine baseline prescribed MMEs and rate of satisfaction. A guideline was subsequently developed to standardize postdischarge prescribing (550 MMEs prescribed average risk vs 900 MMEs high risk), and the survey was repeated (phase II). Median 210 MMEs were used. Of the 23 patients, 1 required a refill, 83% were highly satisfied, and 77% of opioids were unused. Guidelines were further revised to limit prescribed opioids (290 MME average risk vs 450 MME high risk), and the survey was repeated (phase III). A median of 118 MMEs was used. Of the 22 patients, 5 required refills, 73% were highly satisfied, and 53% of opioids were unused. Phase IV included 27 patients. A median of 98 MMEs was used. Two patients required refills, 93% were highly satisfied, and 58% of opioids were unused. Our finding showed that there is significant overprescription of opioids after elective breast surgery. Practice guidelines can reduce the amount of opioids prescribed. Reducing excess opioids available in the community is a noble goal; however, it must be done cautiously, as decreased patient satisfaction can be an unintended consequence.
| S-EPMC6543550 | biostudies-literature
Project description:ObjectiveEvaluate the association between postoperative opioid prescribing and new persistent opioid use.Summary background dataOpioid-nave patients who develop new persistent opioid use after surgery are at increased risk of opioid-related morbidity and mortality. However, the extent to which postoperative opioid prescribing is associated with persistent postoperative opioid use is unclear.MethodsRetrospective study of opioid-naïve adults undergoing surgery in Michigan from 1/1/2017 to 10/31/2019. Postoperative opioid prescriptions were identified using a statewide clinical registry and prescription fills were identified using Michigan's prescription drug monitoring program. The primary outcome was new persistent opioid use, defined as filling at least 1 opioid prescription between post-discharge days 4 to 90 and filling at least 1 opioid prescription between post-discharge days 91 to 180.ResultsA total of 37,654 patients underwent surgery with a mean age of 52.2 (16.7) years and 20,923 (55.6%) female patients. A total of 31,920 (84.8%) patients were prescribed opioids at discharge. Six hundred twenty-two (1.7%) patients developed new persistent opioid use after surgery. Being prescribed an opioid at discharge was not associated with new persistent opioid use [adjusted odds ratio (aOR) 0.88 (95% confidence interval (CI) 0.71-1.09)]. However, among patients prescribed an opioid, patients prescribed the second largest [12 (interquartile range (IQR) 3) pills] and largest [20 (IQR 7) pills] quartiles of prescription size had higher odds of new persistent opioid use compared to patients prescribed the smallest quartile [7 (IQR 1) pills] of prescription size [aOR 1.39 (95% CI 1.04-1.86) andaOR 1.97 (95% CI 1.442.70), respectively].ConclusionsIn a cohort of opioid-naïve patients undergoing common surgical procedures, the risk of new persistent opioid use increased with the size of the prescription. This suggests that while opioid prescriptions in and of themselves may not place patients at risk of long-term opioid use, excessive prescribing does. Consequently, these findings support ongoing efforts to mitigate excessive opioid prescribing after surgery to reduce opioid-related harms.
| S-EPMC10537242 | biostudies-literature
Project description:BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and social risks and behaviors. To capture this information at scale, natural language processing (NLP) tools must be developed and evaluated. We developed and applied an annotation schema to deeply characterize OUD and related clinical, behavioral, and environmental factors, and automated the annotation schema using machine learning and deep learning-based approaches.MethodsUsing the MIMIC-III Critical Care Database, we queried hospital discharge summaries of patients with International Classification of Diseases (ICD-9) OUD diagnostic codes. We developed an annotation schema to characterize problematic opioid use, identify individuals with potential OUD, and provide psychosocial context. Two annotators reviewed discharge summaries from 100 patients. We randomly sampled patients with their associated annotated sentences and divided them into training (66 patients; 2,127 annotated sentences) and testing (29 patients; 1,149 annotated sentences) sets. We used the training set to generate features, employing three NLP algorithms/knowledge sources. We trained and tested prediction models for classification with a traditional machine learner (logistic regression) and deep learning approach (Autogluon based on ELECTRA's replaced token detection model). We applied a five-fold cross-validation approach to reduce bias in performance estimates.ResultsThe resulting annotation schema contained 32 classes. We achieved moderate inter-annotator agreement, with F1-scores across all classes increasing from 48 to 66%. Five classes had a sufficient number of annotations for automation; of these, we observed consistently high performance (F1-scores) across training and testing sets for drug screening (training: 91-96; testing: 91-94) and opioid type (training: 86-96; testing: 86-99). Performance dropped from training and to testing sets for other drug use (training: 52-65; testing: 40-48), pain management (training: 72-78; testing: 61-78) and psychiatric (training: 73-80; testing: 72). Autogluon achieved the highest performance.ConclusionThis pilot study demonstrated that rich information regarding problematic opioid use can be manually identified by annotators. However, more training samples and features would improve our ability to reliably identify less common classes from clinical text, including text from outpatient settings.
| S-EPMC9124945 | biostudies-literature