DOI QR코드

DOI QR Code

Pain-related Prescribing Patterns and Associated Factor in Breast Cancer Patients

유방암 환자의 통증 관련 약물 현황과 통증에 미치는 요인

  • Lee, Jin (Medical Informatics and health Technology (MIT), Department of Health Care Management, College of Social Science, Gachon University) ;
  • Park, Ie Byung (Department of Endocrinology and Metabolism, Gachon University Gil Medical Center) ;
  • Seo, Hwa Jeong (Medical Informatics and health Technology (MIT), Department of Health Care Management, College of Social Science, Gachon University)
  • 이진 (가천대학교 사회과학대학 의료경영학과 정보의학연구실) ;
  • 박이병 (가천대학교 길병원 내분비내과) ;
  • 서화정 (가천대학교 사회과학대학 의료경영학과 정보의학연구실)
  • Received : 2021.01.16
  • Accepted : 2021.04.21
  • Published : 2021.06.30

Abstract

Background: With an increase in the number of breast cancer survivors, greater importance is attached to health-related quality of life, particularly pain and symptom control. This study aimed to identify the factors that are associated with pain in cancer patients based on the patterns of prescribing opioid, non-opioid, and adjuvant analgesics. Methods: This analysis included new patients who had developed breast cancer between 2003 and 2012. The degree of pain was analyzed based on the socio-demographic (age, income quintile, number of hospitalizations, and duration of disease), indicator (Body Mass Index; BMI, Charlson Comorbidity Index; CCI, Cumulative Analgesic Consumption Score; CACS), operation (mastectomy, lymph node dissection), and therapy (chemotherapy, radiation therapy), as well as complication-related variable (lymphedema). Results: As for the patterns of prescribing analgesics by stages, non-opioid and opioid analgesics constituted 30.7 and 69.3%, respectively. The mean value and variance of CACS were 5.596 and 12.567, respectively. The factors that significantly affected the degree of pain were age (≥50; IRR: 1.848, 95% CI 1.564-2.184, p=0.000), income quintile (IRR: 0.964, 95% CI 0.938-0.991, p=0.008), BMI (≥ 25; IRR: 1.479, 95% CI 1.222-1.795, p=0.000), CCI (≥ 4; IRR: 1.649, 95% CI 1.344-2.036, p=0.000), and lymphedema (yes; IRR: 1.267, 95% CI 1.006-1.610, p=0.047). Conclusions: It is necessary to develop systematic and comprehensive pain control measures to improve the quality of life for breast cancer survivors, especially for those who are 50 years or older, lie in the lower-income quintile, have BMI of ≥25 and CCI score ≥ 4, or have lymphedema.

Keywords

Acknowledgement

This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare of Korea (No.1420210), Gachon University and Gil Hospital (FRD2017-09) and funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B4006545).

References

  1. Miller KD, Siegel RL, Lin CC, et al. Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin 2016;66(4):271-89. https://doi.org/10.3322/caac.21349
  2. Korean Breast Cancer Society. White Paper on Breast Cancer 2019. Statistics Committee of the Korean Breast Cancer Society. 2020. Available from http://www.kbcs.or.kr/sub02/sub04.html#none. Accessed January 6, 2021.
  3. Korea Central Cancer Registry. 2017 Annual Report of National Cancer Registration Project, Ministry of Health and Welfare. 2020. Available from https://ncc.re.kr/cancerStatsList.ncc. Accessed January 6, 2021.
  4. Lee HS, Kim K. Social network analysis for research of cancer patients' health-related quality of life. Asian Oncol Nurs 2020; 20(2):61-71. https://doi.org/10.5388/aon.2020.20.2.61
  5. Kwon EJ, Yi M. Distress and quality of life in breast cancer survivors in Korea. Asian Oncol Nurs 2012;12(4):289-96. https://doi.org/10.5388/aon.2012.12.4.289
  6. Lee ES, Lee MK, Kim SH, RO JS, Kang HS, Kim SW, Lee KS, Yun YH. Health-related quality of life in survivors with breast cancer 1 year After diagnosis compared with the general population. Ann Surg 2011;253(1):101-8. https://doi.org/10.1097/SLA.0b013e3181f662ce
  7. Na HO. Cancer pain management and opioid analgesics. J Kor Soc Health-syst Pharm 2020;37(1):1-10.
  8. Lee SW, Kim HS, Kim SY, Hong YS, Kim EK. Patient satisfaction with cancer pain management. Korean J Hosp Palliat Care 2003;6(1):22-33.
  9. Leysen L, Beckwee D, Nijs J, et al. Risk factors of pain in breast cancer survivors: a systematic review and meta-analysis. Support Care Cancer 2017;25(12):3607-43. https://doi.org/10.1007/s00520-017-3824-3
  10. Costa WA, Monteiro MN, Queiroz JF, Goncalves AK. Pain and quality of life in breast cancer patients. Clinics (Sao Paulo) 2017; 72(12):758-63. https://doi.org/10.6061/clinics/2017(12)07
  11. Tae YS, Kwon S, Choi JH, Lee A. Predictive factors for depression in breast cancer survivors. Asian Oncol Nurs 2013;13(3):113-20. https://doi.org/10.5388/aon.2013.13.3.113
  12. Exadaktylos AK, Buggy DJ, Moriarty DC, Mascha E, Sessler DI. Can anesthetic technique for primary breast cancer surgery affect recurrence or metastasis? Anesthesiology 2006;105(4):660-4. https://doi.org/10.1097/00000542-200610000-00008
  13. Quality of Life EORTC. EORTC QLQ-C30. Available from https://qol.eortc.org/questionnaire/eortc-qlq-c30/. Accessed January 6, 2021.
  14. National Cancer Institute. Division of Cancer Control & Population Sciences. Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAETM). National Cancer Institute. Division of Cancer Control & Population Sciences. Available from https://healthcaredelivery.cancer.gov/proctcae/. Accessed September 12, 2020.
  15. FACIT group. FACT-B: For patients with Breast cancer. Available from https://www.facit.org/FACITOrg/Questionnaires. Accessed January 6, 2021.
  16. Viniol A, Ploner T, Hickstein L, et al. Prescribing practice of pregabalin/gabapentin in pain therapy: an evaluation of German claim data. BMJ open 2019;9(3):e021535. https://doi.org/10.1136/bmjopen-2018-021535
  17. Seo HJ, Noh DY. Care pathway for cancer survivorship in Korea: Trend of breast cancer pathway from 2003 to 2010. Healthc Inform Res 2017;23(2):119-25. https://doi.org/10.4258/hir.2017.23.2.119
  18. Schoenthaler M, Miernik A, Offner K, et al. The cumulative analgesic consumption score (CACS): evaluation of a new score to describe postsurgical analgesic consumption as a surrogate parameter for postoperative pain and invasiveness of surgical procedures. Int Braz J Urol 2014;40(3):330-6. https://doi.org/10.1590/S1677-5538.IBJU.2014.03.06
  19. Bredart A, Marrel A, Abetz-Webb L, Lasch K, Acquadro C. Interviewing to develop Patient-Reported Outcome (PRO) measures for clinical research: eliciting patients' experience. Health Qual Life Outcomes 2014;12:15. https://doi.org/10.1186/1477-7525-12-15
  20. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Medical care 2005;43(11):1130-9. https://doi.org/10.1097/01.mlr.0000182534.19832.83
  21. Yeom CH. Pain treatment in terminal cancer patients 1-Focusing on opioid analgesics-. Yeongdong Severance Hospital Medicine Information 2000;4(3):1-10.
  22. Sipila R, Estlander AM, Tasmuth T, Kataja M, Kalso E. Development of a screening instrument for risk factors of persistent pain after breast cancer surgery. Br J Cancer 2012;107(9):1459-66. https://doi.org/10.1038/bjc.2012.445
  23. Caffo O, Amichetti M, Ferro A, Lucenti A, Valduga F, Galligioni E. Pain and quality of life after surgery for breast cancer. Breast Cancer Res Treat 2003;80(1):39-48. https://doi.org/10.1023/A:1024435101619
  24. Ashing-Giwa KT, Lim, JW. Examining the impact of socioeconomic status and socioecologic stress on physical and mental health quality of life among breast cancer survivors. Oncol Nurs Forum 2009;36(1):79-88. https://doi.org/10.1188/09.ONF.79-88
  25. Kim JH, Kim KJ, Park JH. Relationship between income and healthcare utilization in cancer patients. Health Policy and Management 2011;21(3):397-413. https://doi.org/10.4332/KJHPA.2011.21.3.397
  26. Woods LM, Rachet B, Coleman MP. Origins of socioeconomic inequalities in cancer survival: a review. Ann Oncol 2006;17(1):5-19. https://doi.org/10.1093/annonc/mdj007
  27. Taylor R Jr, Pergolizzi JV, Raffa RB, Nalamachu S, Balestrieri PJ. Pain and obesity in the older adult. Curr Pharm Des 2014;20(38): 6037-41. https://doi.org/10.2174/1381612820666140316131431
  28. Johannsen M, Christensen S, Zachariae R, Jensen AB. Socio-demographic, treatment-related, and health behavioral predictors of persistent pain 15 months and 7-9 years after surgery: a nationwide prospective study of women treated for primary breast cancer. Breast Cancer Res Treat 2015;152(3):645-58. https://doi.org/10.1007/s10549-015-3497-x
  29. Caan BJ, Cespedes Feliciano EM, Prado CM, et al. Association of muscle and adiposity measured by computed tomography With survival in patients with nonmetastatic breast cancer. JAMA Oncol 2018;4(6):798-804. https://doi.org/10.1001/jamaoncol.2018.0137
  30. Romero A, Tora-Rocamora I, Bare M, et al. Prevalence of persistent pain after breast cancer treatment by detection mode among participants in population-based screening programs. BMC cancer 2016;16(1):735. https://doi.org/10.1186/s12885-016-2768-1
  31. Bredal IS, Smeby NA, Ottesen S, Warncke T, Schlichting E. Chronic pain in breast cancer survivors: comparison of psychosocial, surgical, and medical characteristics between survivors with and without pain. J Pain Symptom Manage 2014;48(5):852-62. https://doi.org/10.1016/j.jpainsymman.2013.12.239
  32. Park MJ, Chung W, Lee S, Park JH, Chang HS. Association between socioeconomic status and all-cause mortality after breast cancer surgery: Nationwide retrospective cohort study. J Prev Med Public Health 2010;43(4):330-40. https://doi.org/10.3961/jpmph.2010.43.4.330
  33. Yang GH, Kwak SW, Kim SH, et al. Effect of a needle aspiration in patients with lymphedema. Korean J Hosp Palliat Care 2009;12(1): 27-31. https://doi.org/10.14475/kjhpc.2009.12.1.27
  34. Aygit AC, Yildirim AM, Dervisoglu S. Lymphangiosarcoma in chronic lymphedema: Stewart-Treves syndrome. J Hand Surg 1999;24:(1):135-7. https://doi.org/10.1054/jhsb.1998.0049
  35. Erickson VS, Pearson ML, Ganz PA, Adams J, Kahn KL. Arm edema in breast cancer patients. J Natl Cancer Inst 2001;93(2):96-111. https://doi.org/10.1093/jnci/93.2.96