Opioid Use and Storage Patterns by Patients after Hospital Discharge following Surgery

Karsten Bartels, Lena M Mayes, Colleen Dingmann, Kenneth J Bullard, Christian J Hopfer, Ingrid A Binswanger, Karsten Bartels, Lena M Mayes, Colleen Dingmann, Kenneth J Bullard, Christian J Hopfer, Ingrid A Binswanger

Abstract

Introduction: Opioid-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.

Methods: For 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.

Results: The 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.

Conclusion: Our 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.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1. Survey tool administered to patients…
Fig 1. Survey tool administered to patients discharged after Cesarean section surgery.
Fig 2. Baseline characteristics of survey responders…
Fig 2. Baseline characteristics of survey responders and by reported use of prescribed opioids after discharge.
Oral morphine equivalent doses are expressed in mg: oxycodone (mg) x 1.5; hydrocodone (mg) x 1; hydromorphone (mg) x 4, morphine (mg) x 1, and tramadol (mg) x 0.2. In the thoracic surgery group, two patients received more than one active opioid ingredient. “Low use” was defined as having reported taking less than half of their prescribed opioid pain medications (question #1 in the survey). “High use” was defined as having reported taking about half or more of the opioids prescribed. Statistical analysis was performed using unpaired t testA, Chi-square testB, and Mann-Whitney testC between patients reporting “low use” and “high use”. For the characteristic “Active opioid ingredients prescribed at discharge” multiple opioids could be prescribed for one patient; no statistical comparisons were performed. ASA = American Society of Anesthesiologists; VATS = video-assisted thoracoscopic surgery.
Fig 3. Self-reported opioid intake after surgery.
Fig 3. Self-reported opioid intake after surgery.
C-section patients were asked: “After coming home from the hospital: Did you take any prescribed opioid pain pills?” Thoracic surgery patients were asked: “After coming home from the hospital: How many prescribed opioid pain pills did you take?” Additional details on survey questions and responses are reported in S1 and S2 Tables.

References

    1. Volkow ND, Frieden TR, Hyde PS, Cha SS. Medication-Assisted Therapies—Tackling the Opioid-Overdose Epidemic. N Engl J Med. 2014. May 29;370(22):2063–6. 10.1056/NEJMp1402780
    1. Dart RC, Surratt HL, Cicero TJ, Parrino MW, Severtson SG, Bucher-Bartelson B, et al. Trends in Opioid Analgesic Abuse and Mortality in the United States. N Engl J Med. 2015. January 15;372(3):241–8. 10.1056/NEJMsa1406143
    1. Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical Overdose Deaths, United States, 2010. JAMA. 2013. February 20;309(7):657–9. 10.1001/jama.2013.272
    1. Paulozzi LJ. Prescription Drug Overdoses: A Review. J Safety Res. 2012. September;43(4):283–9. 10.1016/j.jsr.2012.08.009
    1. Centers for Disease Control and Prevention. Vital Signs: Overdoses of Prescription Opioid Pain Relievers and Other Drugs among Women—United States, 1999–2010. MMWR. 2013. July 5;62(26):537–42.
    1. Centers for Disease Control and Prevention. Number of All-Listed Procedures for Discharges from Short-Stay Hospitals, by Procedure Category and Age: United States, 2010; available at:
    1. Lavonas EJ, Banner W, Bradt P, Bucher-Bartelson B, Brown KR, Rajan P, et al. Root Causes, Clinical Effects, and Outcomes of Unintentional Exposures to Buprenorphine by Young Children. J Pediatr. 2013. November;163(5):1377–83 e1-3. 10.1016/j.jpeds.2013.06.058
    1. Binswanger IA, Glanz JM. Pharmaceutical Opioids in the Home and Youth: Implications for Adult Medical Practice. Subst Abus. 2015;36(2):141–3. 10.1080/08897077.2014.991058
    1. Volkow ND, McLellan TA. Curtailing Diversion and Abuse of Opioid Analgesics without Jeopardizing Pain Treatment. JAMA. 2011. April 6;305(13):1346–7. 10.1001/jama.2011.369
    1. Rodgers J, Cunningham K, Fitzgerald K, Finnerty E. Opioid Consumption Following Outpatient Upper Extremity Surgery. J Hand Surg Am. 2012. April;37(4):645–50. 10.1016/j.jhsa.2012.01.035
    1. Harris K, Curtis J, Larsen B, Calder S, Duffy K, Bowen G, et al. Opioid Pain Medication Use after Dermatologic Surgery: A Prospective Observational Study of 212 Dermatologic Surgery Patients. JAMA Dermatol. 2013. March;149(3):317–21.
    1. Bates C, Laciak R, Southwick A, Bishoff J. Overprescription of Postoperative Narcotics: A Look at Postoperative Pain Medication Delivery, Consumption and Disposal in Urological Practice. J Urol. 2011. February;185(2):551–5. 10.1016/j.juro.2010.09.088
    1. Tanabe P, Paice JA, Stancati J, Fleming M. How Do Emergency Department Patients Store and Dispose of Opioids after Discharge? A Pilot Study. J Emerg Nurs. 2012. May;38(3):273–9. 10.1016/j.jen.2011.09.023
    1. Kavanagh BP, Katz J, Sandler AN. Pain Control after Thoracic Surgery. A Review of Current Techniques. Anesthesiology. 1994. September;81(3):737–59.
    1. Clarke H, Soneji N, Ko DT, Yun L, Wijeysundera DN. Rates and Risk Factors for Prolonged Opioid Use after Major Surgery: Population Based Cohort Study. BMJ. 2014;348:g1251 10.1136/bmj.g1251
    1. Groves RM. Survey Errors and Survey Costs Hoboken, N.J., Wiley; 2004.
    1. Dillman D. Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method [E-book], Hoboken, N.J., Wiley; 2008.
    1. Kincaid JP, Braby R, Mears JE. Electronic Authoring and Delivery of Technical Information. J Instruct Dev. 1988;11(2):8–13.
    1. Groves RM, Cialdini R, Couper MP. Understanding the Decision to Participate in a Survey. Public Opin Q. 1992;56:475–95.
    1. Thibaut JW, Kelley HH. The Social Psychology of Groups New York, Wiley; 1959.
    1. Dillman DA, Christenson JA, Carpenter EH, Brooks RM. Increasing Mail Questionnaire Response: A Four State Comparison. Am Sociol Rev. 1974;39(5):744–56.
    1. Groves RM. Nonresponse Rates and Nonresponse Bias in Household Surveys. Public Opin Q. 2006;70(5):646–75.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research Electronic Data Capture (Redcap)—a Metadata-Driven Methodology and Workflow Process for Providing Translational Research Informatics Support. J Biomed Inform. 2009. April;42(2):377–81. 10.1016/j.jbi.2008.08.010
    1. Maher DP, Wong W, White PF, McKenna R Jr., Rosner H, Shamloo B, et al. Association of Increased Postoperative Opioid Administration with Non-Small-Cell Lung Cancer Recurrence: A Retrospective Analysis. Br J Anaesth. 2014. July;113 Suppl 1:i88–94. 10.1093/bja/aeu192
    1. Gammaitoni AR, Fine P, Alvarez N, McPherson ML, Bergmark S. Clinical Application of Opioid Equianalgesic Data. Clin J Pain. 2003. Sep-Oct;19(5):286–97.
    1. Longnecker DE. Anesthesiology 2nd ed. New York: McGraw-Hill Professional; 2012.
    1. Goodman LS, Brunton LL, Chabner B, Knollmann BrC. Goodman & Gilman's Pharmacological Basis of Therapeutics 12th ed. New York: McGraw-Hill; 2011.
    1. Cook C, Heath F, Thompson RL. A Meta-Analysis of Response Rates in Web- or Internet-Based Surveys. Educ Psychol Meas. 2000;60(6):821–36.
    1. Savic RM, Barrail-Tran A, Duval X, Nembot G, Panhard X, Descamps D, et al. Effect of Adherence as Measured by Mems, Ritonavir Boosting, and Cyp3a5 Genotype on Atazanavir Pharmacokinetics in Treatment-Naive Hiv-Infected Patients. Clin Pharmacol Ther. 2012. November;92(5):575–83. 10.1038/clpt.2012.137

Source: PubMed

3
Předplatit