Literature DB >> 26358712

Accuracy of using Diagnosis Procedure Combination administrative claims data for estimating the amount of opioid consumption among cancer patients in Japan.

Momoko Iwamoto1, Takahiro Higashi2, Hiroki Miura3, Takahiro Kawaguchi3, Shigeyuki Tanaka3, Itsuku Yamashita3, Tetsusuke Yoshimoto4, Shigeaki Yoshida3, Motohiro Matoba5.   

Abstract

OBJECTIVE: The state of opioid consumption among cancer patients has never been comprehensively investigated in Japan. The Diagnosis Procedure Combination claims data may be used to measure and monitor opioid consumption among cancer patients, but the accuracy of using the Diagnosis Procedure Combination data for this purpose has never been tested.
METHODS: We aimed to ascertain the accuracy of using the Diagnosis Procedure Combination claims data for estimating total opioid analgesic consumption by cancer patients compared with electronic medical records at Aomori Prefectural Central Hospital. We calculated percent differences between estimates obtained from electronic medical records and Diagnosis Procedure Combination claims data by month and drug type (morphine, oxycodone, fentanyl, buprenorphine, codeine and tramadol) between 1 October 2012 and 30 September 2013, and further examined the causes of discrepancy by reviewing medical and administrative charts between April and July 2013.
RESULTS: Percent differences varied by month for drug types with small prescription volumes, but less so for drugs with larger prescription volumes. Differences also tended to diminish when consumption was compared for a year instead of a month. Total percent difference between electronic medical records and Diagnosis Procedure Combination data during the study period was -0.1% (4721 mg per year per hospital), as electronic medical records as baseline. Half of the discrepancy was caused by errors in data entry.
CONCLUSION: Our study showed that Diagnosis Procedure Combination claims data can be used to accurately estimate opioid consumption among a population of cancer patients, although the same conclusion cannot be made for individual estimates or when making estimates for a group of patients over a short period of time.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  analgesics; opioid; pain; palliative care

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Year:  2015        PMID: 26358712     DOI: 10.1093/jjco/hyv130

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  2 in total

1.  Accuracy of algorithms to identify patients with a diagnosis of major cancers and cancer-related adverse events in an administrative database: a validation study in an acute care hospital in Japan.

Authors:  Takashi Fujiwara; Takashi Kanemitsu; Kosei Tajima; Akinori Yuri; Masahiro Iwasaku; Yasuyuki Okumura; Hironobu Tokumasu
Journal:  BMJ Open       Date:  2022-07-13       Impact factor: 3.006

2.  Validity of claims-based algorithms for selected cancers in Japan: Results from the VALIDATE-J study.

Authors:  Cynthia de Luise; Naonobu Sugiyama; Toshitaka Morishima; Takakazu Higuchi; Kayoko Katayama; Sho Nakamura; Haoqian Chen; Edward Nonnenmacher; Ryota Hase; Sadao Jinno; Mitsuyo Kinjo; Daisuke Suzuki; Yoshiya Tanaka; Soko Setoguchi
Journal:  Pharmacoepidemiol Drug Saf       Date:  2021-06-01       Impact factor: 2.890

  2 in total

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