Dataset Information

Geospatial Analyses of Pain Intensity and Opioid Unit Doses Prescribed on the Day of Discharge Following Orthopedic Surgery.

ABSTRACT:

Objective

Inappropriate opioid prescribing after surgery contributes to opioid use disorder and risk of opioid overdose. In this cross-sectional analysis of orthopedic surgical patients, we examined the role of patient location on postoperative pain intensity and opioids prescribed on hospital discharge.

Methods

We used geospatial analyses to characterize spatial patterns of mean pain intensity on the day of discharge (PiDoD) and opioid units prescribed on the day of discharge (OuPoD), as well as the effect of regional social deprivation on these outcomes.

Results

At a 500-km radius from the surgery site, the Global Moran's I for PiDoD (2.71?×?10-3, variance = 1.67?×?10-6, P = 0.012) and OuPoD (2.19?×?10-3, SD = 1.87, variance = 1.66?×?10-6, P = 0.03) suggested significant spatial autocorrelation within each outcome. Local indicators of spatial autocorrelation, including local Moran's I, Local Indicator of Spatial Autocorrelation cluster maps, and Getis-Ord Gi* statistics, further demonstrated significant, specific regions of clustering both OuPoD and PiDoD. These spatial patterns were associated with spatial regions of area deprivation.

Conclusions

Our results suggest that the outcomes of pain intensity and opioid doses prescribed exhibit varying degrees of clustering of patient locations of residence, at both global and local levels. This indicates that a given patient's pain intensity on discharge is related to the pain intensity of nearby individuals. Similar interpretations exist for OuPoD, although the relative locations of hot spots of opioids dispensed in a geographic area appear to differ from those of hot spots of pain intensity on discharge.

SUBMITTER: Tighe P

PROVIDER: S-EPMC7530566 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

Geospatial Analyses of Pain Intensity and Opioid Unit Doses Prescribed on the Day of Discharge Following Orthopedic Surgery.

Tighe Patrick P Modave François F Horodyski MaryBeth M Marsik Matthew M Lipori G G Fillingim Roger R Hu Hui H Hagen Jennifer J

Pain medicine (Malden, Mass.) 20200801 8

<h4>Objective</h4>Inappropriate opioid prescribing after surgery contributes to opioid use disorder and risk of opioid overdose. In this cross-sectional analysis of orthopedic surgical patients, we examined the role of patient location on postoperative pain intensity and opioids prescribed on hospital discharge.<h4>Methods</h4>We used geospatial analyses to characterize spatial patterns of mean pain intensity on the day of discharge (PiDoD) and opioid units prescribed on the day of discharge (Ou ...[more]

PMID: 31800063

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Project description:Importance:The United States is experiencing an opioid abuse epidemic. Opioid overprescription by physicians may contribute to this epidemic. Objectives:To determine if there was a correlation between a postoperative patient's 24-hour predischarge opioid use and the amount of opioids prescribed at hospital discharge and to determine the number of patients who used no opioids prior to discharge but were still prescribed opioids after hospital discharge. Design, Setting, and Participants:This cross-sectional study performed a retrospective record review of 18 343 postoperative patients at Boston Medical Center and Lahey Hospital and Medical Center-Burlington Campus who were discharged home after a postoperative inpatient admission of at least 24 hours. Data collection spanned from May 22, 2014, to June 30, 2016, in the Boston Medical Center data set and from March 23, 2015, to September 7, 2016, in the Lahey Hospital and Medical Center-Burlington Campus data set. Exposures:Surgery requiring a postoperative inpatient hospital stay longer than 24 hours. Main Outcomes and Measures:The main outcome measures were the patient's 24-hour predischarge opioid use and the total quantity of opioids prescribed at hospital discharge. Potential overprescription was defined as the number of patients who used no opioids in the 24 hours prior to hospital discharge but were still prescribed opioids after hospital discharge. Results:Among the 18 343 patients (10 069 women and 8274 men; mean age, 52.2 years) who underwent 21 452 surgical procedures, there was wide variation in the amount of opioids prescribed at hospital discharge given a postoperative patient's 24-hour predischarge opioid use. A total of 6548 patients (35.7%) used no opioids in the 24 hours prior to hospital discharge; however, 2988 of these patients (45.6%) were prescribed opioids at hospital discharge, suggesting potential overprescription. Services that had the highest rates of potential overprescription (obstetrics [adjusted odds ratio (AOR), 3.146; 95% CI, 2.094-4.765] and gynecology [AOR, 2.355; 95% CI, 1.663-3.390], orthopedics [AOR, 0.943; 95% CI, 0.719-1.242], and plastic surgery [AOR, 0.733; 95% CI, 0.334-1.682]) generally had the highest rates of patients still using opioids at hospital discharge. Pediatric surgery was the only service that did not have any cases of potential overprescription (AOR, 2.09 × 10-7; 95% CI, 0.000-0.016). Conclusions and Relevance:Opioids are not regularly prescribed in a patient-specific manner to postoperative patients. Potential opioid overprescription occurs regularly after surgery among almost all surgical specialties.

Project description:ImportanceAttempts to discontinue opioid therapy to reduce the risk of overdose and adhere to prescribing guidelines may lead patients to be exposed to variability in opioid dosing. Such dose variability may increase the risk of opioid overdose even if therapy discontinuation is associated with a reduction in risk.ObjectiveTo examine the association between opioid dose variability and opioid overdose.Design, setting, and participantsA nested case-control study was conducted in a large Colorado integrated health plan and delivery system from January 1, 2006, through June 30, 2018. Cohort members were individuals prescribed long-term opioid therapy.ExposuresDose variability was defined as the SD of the milligrams of morphine equivalents across each patient's follow-up and categorized based on the quintile distribution of the SD in the cohort (0-5.3, 5.4-9.1, 9.2-14.6, 14.7-27.2, and >27.2 mg of morphine equivalents).Main outcomes and measuresOpioid overdose cases were identified using International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Each case patient with overdose was matched to up to 20 control patients using risk set sampling. Conditional logistic regression models were used to generate matched odds ratios and 95% CIs, adjusted for age, sex, race/ethnicity, drug or alcohol use disorder, tobacco use, benzodiazepine dispensings, medical comorbidities, mental health disorder, opioid dose, and opioid formulation.ResultsIn a cohort of 14 898 patients (mean [SD] age, 56.3 [16.0] years; 8988 [60.3%] female) prescribed long-term opioid therapy, 228 case patients with incident opioid overdose were matched to 3547 control patients. The mean (SD) duration of opioid therapy was 36.7 (33.7) months in case patients and 33.0 (30.9) months in control patients. High-dose variability (SD >27.2 mg of morphine equivalents) was associated with a significantly increased risk of overdose compared with low-dose variability (matched odds ratio, 3.32; 95% CI, 1.63-6.77) independent of opioid dose.Conclusions and relevanceVariability in opioid dose may be a risk factor for opioid overdose, suggesting that practitioners should seek to minimize dose variability when managing long-term opioid therapy.

Project description:ImportanceSurgeons must balance management of acute postoperative pain with opioid stewardship. Patient-centered methods that immediately evaluate pain and opioid consumption can be used to guide prescribing and shared decision-making.ObjectiveTo assess the difference between the number of opioid tablets prescribed and the self-reported number of tablets taken as well as self-reported pain intensity and ability to manage pain after orthopedic and urologic procedures with use of an automated text messaging system.Design, setting, and participantsThis quality improvement study was conducted at a large, urban academic health care system in Pennsylvania. Adult patients (aged ≥18 years) who underwent orthopedic and urologic procedures and received postoperative prescriptions for opioids were included. Data were collected prospectively using automated text messaging until postoperative day 28, from May 1 to December 31, 2019.Main outcomes and measuresThe primary outcome was the difference between the number of opioid tablets prescribed and the patient-reported number of tablets taken (in oxycodone 5-mg tablet equivalents). Secondary outcomes were self-reported pain intensity (on a scale of 0-10, with 10 being the highest level of pain) and ability to manage pain (on a scale of 0-10, with 10 representing very able to control pain) after orthopedic and urologic procedures.ResultsOf the 919 study participants, 742 (80.7%) underwent orthopedic procedures and 177 (19.2%) underwent urologic procedures. Among those who underwent orthopedic procedures, 384 (51.8%) were women, 491 (66.7%) were White, and the median age was 48 years (interquartile range [IQR], 32-61 years); 514 (69.8%) had an outpatient procedure. Among those who underwent urologic procedures, 145 (84.8%) were men, 138 (80.7%) were White, and the median age was 56 years (IQR, 40-67 years); 106 (62%) had an outpatient procedure. The mean (SD) pain score on day 4 after orthopedic procedures was 4.72 (2.54), with a mean (SD) change by day 21 of -0.40 (1.91). The mean (SD) ability to manage pain score on day 4 was 7.32 (2.59), with a mean (SD) change of -0.80 (2.72) by day 21. The mean (SD) pain score on day 4 after urologic procedures was 3.48 (2.43), with a mean (SD) change by day 21 of -1.50 (2.12). The mean (SD) ability to manage pain score on day 4 was 7.34 (2.81), with a mean (SD) change of 0.80 (1.75) by day 14. The median quantity of opioids prescribed for patients who underwent orthopedic procedures was high compared with self-reported consumption (20 tablets [IQR, 15-30 tablets] vs 6 tablets used [IQR, 0-14 tablets]), similar to findings for patients who underwent urologic procedures (7 tablets [IQR, 5-10 tablets] vs 1 tablet used [IQR, 0-4 tablets]). Over the study period, 9452 of 15 581 total tablets prescribed (60.7%) were unused. A total of 589 patients (64.1%) used less than half of the amount prescribed, and 256 patients (27.8%) did not use any opioids (179 [24.1%] who underwent orthopedic procedures and 77 [43.5%] who underwent urologic procedures).Conclusions and relevanceIn this quality improvement study of adult patients reporting use of opioids after common orthopedic and urologic surgical procedures through a text messaging system, the quantities of opioids prescribed and the quantity consumed differed. Patient-reported data collected through text messaging may support clinicians in tailoring prescriptions and guide shared decision-making to limit excess quantities of prescribed opioids.

Project description:Opioid analgesic use and disorders have dramatically increased among the general American population and those receiving methadone maintenance treatment (MMT). Most research among MMT patients focuses on opioid analgesics misuse or disorders; few studies focus on MMT patients prescribed opioid analgesics. We describe demographic, clinical, and substance use characteristics of MMT patients prescribed opioid analgesics and compare them with MMT patients not prescribed opioid analgesics.We conducted a cross-sectional secondary data analysis using screening interviews from a parent study. From 2012 to 2015, we recruited adults from 3 MMT Bronx clinics. Questionnaire data included patterns of opioid analgesic use, substance use, comorbid illnesses, and demographic characteristics. Our main dependent variable was patients' report of currently taking prescribed opioid analgesics. To compare characteristics between MMT patients prescribed and not prescribed opioid analgesics, we conducted chi-square tests, t tests, and Mann-Whitney U tests.Of 611 MMT patients, most reported chronic pain (62.0%), hepatitis C virus (HCV) infection (52.1%), and current use of illicit substances (64.2%). Of the 29.8% who reported currently taking prescribed opioid analgesics, most misused their opioid analgesics (57.5%). Patients prescribed (versus not prescribed) opioid analgesics were more likely to report human immunodeficiency virus (HIV) infection (adjusted odds ratio [aOR] = 1.6, 95% confidence interval [CI]: 1.1-2.3) and chronic pain (aOR = 7.6, 95% CI: 4.6-12.6).Among MMT patients primarily in 3 Bronx clinics, nearly one third reported taking prescribed opioid analgesics. Compared with patients not prescribed opioid analgesics, those prescribed opioid analgesics were more likely to report chronic pain and HIV infection. However, between these patients, there was no difference in illicit substance use. These findings highlight the complexity of addressing chronic pain in MMT patients.

Project description:BackgroundExpert consensus recommends prescription opioid safety counseling be provided when prescribing an opioid. This may be especially important for youth with preexistent alcohol and other drug (AOD) use who are at higher risk of developing opioid use disorder. This study examined the frequency that adolescent trauma patients prescribed opioids at hospital discharge received counseling and if this differed by adolescents' AOD use.MethodThis study was embedded within a larger prospective stepped-wedge type III hybrid implementation study of AOD screening across a national cohort of pediatric trauma centers. Data were collected during 2018-2021 from admitted adolescent trauma patients (12-17 yo) at seven centers. Patient data were extracted from the electronic health record (EHR) on any prescribed discharged opioids, documentation of counseling delivered on prescribed opioid, who delivered counseling, and patients' AOD screening results. Additionally, adolescents received an online survey within 30 days of hospital discharge that included asking about hospital discussions on safe use of prescription pain medication.ResultsOf the 247 adolescent trauma patients enrolled, 158 completed the 30-day survey. AOD screening results were documented in the EHR for 139 patients (88%), with 69 (44.1%) screening AOD-positive. Opioids at discharge were prescribed to 86 (54.4%) adolescent patients, with no significant difference between those screened AOD-positive and AOD-negative (42.4% vs. 46.3%, p = 0.89). Counseling was documented in the EHR for 30 (34.9%) of those prescribed an opioid and was not significantly different by sex, age, race, ethnicity or between adolescent patients with documentation of AOD use (29.3%) versus those who did not (33.3%, p = 0.71). According to the adolescent survey, among those prescribed an opioid, 61.2% reported someone had talked with them about safe use of newly prescribed pain medications with again no difference between AOD-positive and AOD-negative screening results (p = 0.34).ConclusionsAlthough adolescent trauma patients recalled discussions on safe use of prescribed pain medication more often than was documented in the EHR, these discussions were not universal and did not differ if adolescents had screened positive or negative for AOD use as documented in the EHR.Trial registryclinicaltrials.gov NCT03297060.

Project description:BackgroundChronic 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.ObjectiveWe 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.DesignThis was a retrospective cohort study.ParticipantsFrom 1 January 2011 to 31 December 2011, 6,689 opioid naïve patients were discharged from a safety-net hospital.Main measureChronic opioid use 1 year post discharge.Key resultsTwenty-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?<?0.001), acute pain (2.7% versus 1.0 %, p?<?0.001), chronic pain at admission (12.1% versus 3.3%, p?<?0.001) or surgery during their hospitalization (65.1% versus 18.4%, p?<?0.001) compared to patients without opioid receipt. Patients with opioid receipt were less likely to have alcohol use disorders (15.7% versus 20.7%, p?<?0.001) and mental health disorders (23.9% versus 31.4%, p?<?0.001) compared to patients without opioid receipt. Chronic opioid use 1 year post discharge was more common among patients with opioid receipt (4.1% versus 1.3%, p?<?0.0001) compared to patients without opioid receipt. Opioid receipt was associated with increased odds of chronic opioid use (AOR?=?4.90, 95% CI 3.22-7.45) and greater subsequent opioid refills (AOR?=?2.67, 95% CI 2.29-3.13) 1 year post discharge compared to no opioid receipt.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.

Dataset Information

Geospatial Analyses of Pain Intensity and Opioid Unit Doses Prescribed on the Day of Discharge Following Orthopedic Surgery.

Objective

Methods

Results

Conclusions

Publications

Geospatial Analyses of Pain Intensity and Opioid Unit Doses Prescribed on the Day of Discharge Following Orthopedic Surgery.

Similar Datasets

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