Literature DB >> 36074473

Changes in Opioid Prescriptions and Potential Misuse and Substance Use Disorders Among Childhood Cancer Survivors Following the 2016 Opioid Prescribing Guideline.

Xin Hu1, Katharine E Brock2,3, Karen E Effinger2,3, Bo Zhang4, Ilana Graetz1, Joseph Lipscomb1, Xu Ji2,3.   

Abstract

Importance: The Centers for Disease Control and Prevention (CDC) released an opioid-prescribing guideline in March 2016. Little is known about the guideline's potential effects on childhood cancer survivors, a population at high risk for pain. Objective: To examine changes in opioid prescriptions and potential misuse/substance use disorders (SUD) among childhood cancer survivors and peers without cancer following the guideline release. Design, Setting, and Participants: In this cohort study using the MarketScan Commercial Claims and Encounters Database, 8969 survivors who completed treatment for hematologic, central nervous system, bone, or gonadal cancers (aged ≤21 years at diagnosis) from 2009 to 2018 and 44 845 age-matched, sex-matched, and region-matched individuals without cancer were identified. With data aggregated based on the quarter-year of survivors' treatment completion, interrupted time series analyses were conducted in this cohort study to estimate the immediate (level) change and change in time trend (trend change) for each outcome after the guideline release, accounting for autocorrelation. Data were analyzed from September 2021 to April 2022. Exposures: Release of the CDC opioid-prescribing guideline. Main Outcomes and Measures: Outcomes included any opioid prescription and any indicator for potential misuse/SUD within 1 year following completion of treatment.
Results: This study included 8969 childhood cancer survivors (mean [SD] age, 13.7 [6.2] years old; 3814 [42.5%] female patients) and 44 845 peers without cancer (mean [SD] age, 13.7 [6.2] years old; 19 070 [42.5%] female patients). Before the guideline release, the opioid prescription rate (21.1% vs 7.2%) and rate of potential misuse/SUD (5.6% vs 1.9%) were higher among survivors than peers without cancer. After the guideline release, the trend in opioid prescription rate declined among survivors (trend change, -1.1 percentage points [ppt]; P < .001; 95% CI, -1.5 to -0.7). Survivors also experienced an immediate level decrease (-2.1 ppt; P = .04; 95% CI, -4.2 to -0.1) and a decreasing trend (trend change, -0.4 ppt; P = .009; 95% CI, -0.6 to -0.1) in rate of potential misuse/SUD. Peers without cancer experienced decreasing trends in opioid prescription rate (trend change, -0.3 ppt; P < .001; 95% CI, -0.5 to -0.1) and rate of potential misuse/SUD (trend change, -0.1 ppt; P = .03; 95% CI, -0.1 to -0.01). By 2 years after the guideline release, relative reductions in opioid prescription rate and rate of potential misuse/SUD among survivors were 36.7% and 65.4%, respectively, with peers without cancer experiencing smaller reductions (15.9% and 29.9%). Conclusions and Relevance: In this cohort study, the opioid prescription rate and rate of potential misuse/SUD declined among both survivors and peers without cancer following the CDC guideline release, with survivors experiencing greater reductions. More research is needed to understand the guideline's potential effects on access to opioids required for pain control among childhood cancer survivors.

Entities:  

Year:  2022        PMID: 36074473      PMCID: PMC9459898          DOI: 10.1001/jamaoncol.2022.3744

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   33.006


  11 in total

1.  Bridging the Critical Divide in Pain Management Guidelines From the CDC, NCCN, and ASCO for Cancer Survivors.

Authors:  Salimah H Meghani; Neha Vapiwala
Journal:  JAMA Oncol       Date:  2018-10-01       Impact factor: 31.777

2.  Laws limiting the prescribing or dispensing of opioids for acute pain in the United States: A national systematic legal review.

Authors:  Corey S Davis; Amy Judd Lieberman; Hector Hernandez-Delgado; Carli Suba
Journal:  Drug Alcohol Depend       Date:  2018-11-03       Impact factor: 4.492

3.  Children's cancer pain in a world of the opioid epidemic: Challenges and opportunities.

Authors:  Michelle A Fortier; Sun Yang; Michael T Phan; Daniel M Tomaszewski; Brooke N Jenkins; Zeev N Kain
Journal:  Pediatr Blood Cancer       Date:  2019-12-18       Impact factor: 3.167

4.  CDC Guideline for Prescribing Opioids for Chronic Pain - United States, 2016.

Authors:  Deborah Dowell; Tamara M Haegerich; Roger Chou
Journal:  MMWR Recomm Rep       Date:  2016-03-18

5.  Early Posttherapy Opioid Prescription, Potential Misuse, and Substance Use Disorder Among Pediatric Cancer Survivors.

Authors:  Xu Ji; Xin Hu; Katharine E Brock; Ann C Mertens; Janet R Cummings; Karen E Effinger
Journal:  J Natl Cancer Inst       Date:  2022-06-13       Impact factor: 11.816

6.  Early Post-Therapy Prescription Drug Usage among Childhood and Adolescent Cancer Survivors.

Authors:  Andrew B Smitherman; Danielle Mohabir; Tania M Wilkins; Julie Blatt; Hazel B Nichols; Stacie B Dusetzina
Journal:  J Pediatr       Date:  2018-02-12       Impact factor: 4.406

7.  Methods for estimating confidence intervals in interrupted time series analyses of health interventions.

Authors:  Fang Zhang; Anita K Wagner; Stephen B Soumerai; Dennis Ross-Degnan
Journal:  J Clin Epidemiol       Date:  2008-11-17       Impact factor: 6.437

8.  Longitudinal pain and pain interference in long-term survivors of childhood cancer: A report from the Childhood Cancer Survivor Study.

Authors:  Cynthia W Karlson; Nicole M Alberts; Wei Liu; Tara M Brinkman; Robert D Annett; Daniel A Mulrooney; Fiona Schulte; Wendy M Leisenring; Todd M Gibson; Rebecca M Howell; Deokumar Srivastava; Kevin C Oeffinger; Leslie L Robison; Gregory T Armstrong; Lonnie K Zeltzer; Kevin R Krull
Journal:  Cancer       Date:  2020-03-30       Impact factor: 6.860

Review 9.  Survivors of childhood and adolescent cancer: life-long risks and responsibilities.

Authors:  Leslie L Robison; Melissa M Hudson
Journal:  Nat Rev Cancer       Date:  2013-12-05       Impact factor: 60.716

10.  An Interrupted Time Series Analysis to Determine the Effect of an Electronic Health Record-Based Intervention on Appropriate Screening for Type 2 Diabetes in Urban Primary Care Clinics in New York City.

Authors:  Jeanine B Albu; Nancy Sohler; Rui Li; Xuan Li; Edwin Young; Edward W Gregg; Dennis Ross-Degnan
Journal:  Diabetes Care       Date:  2017-06-15       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.