Development and Performance of a Web-Based Tool to Adjust Urine Toxicology Testing Frequency: Retrospective Study

被引:1
|
作者
Chapman, Kenneth B. [1 ,2 ]
Pas, Martijn M. [2 ,3 ]
Abrar, Diana [2 ,3 ]
Day, Wesley [2 ]
Vissers, Kris C. [4 ]
van Helmond, Noud [2 ,5 ]
机构
[1] NYU, Langone Med Ctr, Dept Anesthesiol, 550 First Ave, New York, NY 10016 USA
[2] Spine & Pain Inst New York, New York, NY USA
[3] Radboud Univ Nijmegen, Med Coll, Nijmegen, Netherlands
[4] Radboud Univ Nijmegen, Med Ctr, Dept Anesthesiol Pain & Palliat Med, Nijmegen, Netherlands
[5] Cooper Med Sch Rowan Univ, Cooper Univ Hlth Care, Dept Anesthesiol, Camden, NJ USA
关键词
Urine drug testing; Opioid therapy; Chronic noncancer pain; CHRONIC OPIOID THERAPY; CHRONIC PAIN; UNITED-STATES; CANNABIS USE; DRUG-USE; PRESCRIPTION; VALIDATION; RISK; INDIVIDUALS; PREVALENCE;
D O I
10.2196/16069
中图分类号
R-058 [];
学科分类号
摘要
Background: Several pain management guidelines recommend regular urine drug testing (UDT) in patients who are being treated with chronic opioid analgesic therapy (COAT) to monitor compliance and improve safety. Guidelines also recommend more frequent testing in patients who are at high risk of adverse events related to COAT; however, there is no consensus on how to identify high-risk patients or on the testing frequency that should be used. Using previously described clinical risk factors for UDT results that are inconsistent with the prescribed COAT, we developed a web-based tool to adjust drug testing frequency in patients treated with COAT. Objective: The objective of this study was to evaluate a risk stratification tool, the UDT Randomizer, to adjust UDT frequency in patients treated with COAT. Methods: Patients were stratified using an algorithm based on readily available clinical risk factors into categories of presumed low, moderate, high, and high+ risk of presenting with UDT results inconsistent with the prescribed COAT. The algorithm was integrated in a website to facilitate adoption across practice sites. To test the performance of this algorithm, we performed a retrospective analysis of patients treated with COAT between June 2016 and June 2017. The primary outcome was compliance with the prescribed COAT as defined by UDT results consistent with the prescribed COAT. Results: 979 drug tests (867 UDT, 88.6%; 112 oral fluid testing, 11.4%) were performed in 320 patients. An inconsistent drug test result was registered in 76/979 tests (7.8%). The incidences of inconsistent test results across the risk tool categories were 7/160 (4.4%) in the low risk category, 32/349 (9.2%) in the moderate risk category, 28/338 (8.3%) in the high risk category, and 9/132 (6.8%) in the high+ risk category. Generalized estimating equation analysis demonstrated that the moderate risk (odds ratio (OR) 2.1, 95% CI 0.9-5.0; P=.10), high risk (OR 2.0, 95% CI 0.8-5.0; P=.14), and high risk+ (OR 2.0, 95% CI 0.7-5.6; P=.20) categories were associated with a nonsignificantly increased risk of inconsistency vs the low risk category. Conclusions: The developed tool stratified patients during individual visits into risk categories of presenting with drug testing results inconsistent with the prescribed COAT; the higher risk categories showed nonsignificantly higher risk compared to the low risk category. Further development of the tool with additional risk factors in a larger cohort may further clarify and enhance its performance.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Development and Pilot Testing of a Patient-Centered Web-Based Reproductive Decision Support Tool for Primary Care
    Callegari, Lisa S.
    Nelson, Karin M.
    Arterburn, David E.
    Dehlendorf, Christine
    Magnusson, Sara L.
    Benson, Samantha K.
    Schwarz, E. Bimla
    Borrero, Sonya
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2021, 36 (10) : 2989 - 2999
  • [2] Feasibility Testing of a Web-Based Reproductive Decision Support Tool for Cystic Fibrosis
    Kazmerski, Traci M.
    Stransky, Olivia M.
    Wright, Catherine E.
    Albanowski, Maya
    Pilewski, Joseph M.
    Talabi, Mehret Birru
    Callegari, Lisa S.
    Chang, Judy C.
    Abebe, Kaleab Z.
    Miller, Elizabeth
    Deal, Ashley
    'Leary, Raelynn
    Borrero, Sonya
    JOURNAL OF CYSTIC FIBROSIS, 2024, 23 (03) : 404 - 411
  • [3] Development and validation of PediaTrac™: A web-based tool to track developing infants
    Lajiness-O'Neill, Renee
    Brooks, Judith
    Lukomski, Angela
    Schilling, Stephen
    Huth-Bocks, Alissa
    Warschausky, Seth
    Flores, Ana-Mercedes
    Swick, Casey
    Nyman, Tristin
    Andersen, Tiffany
    Morris, Natalie
    Schmitt, Thomas A.
    Bell-Smith, Jennifer
    Moir, Barbara
    Hodges, Elise K.
    Lyddy, James E.
    INFANT BEHAVIOR & DEVELOPMENT, 2018, 50 : 224 - 237
  • [4] The Development of a Web-based Demographic Data Extraction Tool for Population Monitoring
    Chow, T. Edwin
    Lin, Yan
    Chan, W. Derek
    TRANSACTIONS IN GIS, 2011, 15 (04) : 479 - 494
  • [5] Development of a Multilingual Web-Based Food Frequency Questionnaire for Adults in Switzerland
    Pannen, Sarah T.
    Gassmann, Roland
    Vorburger, Robert
    Rohrmann, Sabine
    Sych, Janice
    Steinemann, Nina
    NUTRIENTS, 2023, 15 (20)
  • [6] Piloting a Spanish-Language Web-Based Tool for Hereditary Cancer Genetic Testing
    Cragun, Deborah
    Manso, Gretter
    Arcusa, Stefania Alastre
    Zuniga, Brenda
    Dutil, Julie
    Cruz, Marcia
    Pal, Tuya
    CURRENT ONCOLOGY, 2023, 30 (09) : 8352 - 8362
  • [7] Development and validation of a web-based prediction tool on minor physical anomalies for schizophrenia
    Wang, Xin-Yu
    Lin, Jin-Jia
    Lu, Ming-Kun
    Jang, Fong-Lin
    Tseng, Huai-Hsuan
    Chen, Po-See
    Chen, Po-Fan
    Chang, Wei-Hung
    Huang, Chih-Chun
    Lu, Ke-Ming
    Tan, Hung-Pin
    Lin, Sheng-Hsiang
    SCHIZOPHRENIA, 2022, 8 (01)
  • [8] Web-Based Cognitive Testing in Psychiatric Research: Validation and Usability Study
    Lynham, Amy Joanne
    Jones, Ian R.
    Walters, James T. R.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (02)
  • [9] Development and Pilot Testing of a Web-Based Symptom Management Program for Multiple Sclerosis: My MS Toolkit
    Kratz, Anna L.
    Alschuler, Kevin N.
    Williams, David A.
    Ehde, Dawn M.
    REHABILITATION PSYCHOLOGY, 2021, 66 (02) : 224 - 232
  • [10] A web-based personalized decision support tool for patients diagnosed with ductal carcinoma in situ: development, content evaluation, and usability testing
    Fridman, Ilona
    Chan, Lok
    Thomas, Jennifer
    Fish, Laura J.
    Falkovic, Margaret
    Brioux, Jacquelyn
    Hunter, Nicole
    Ryser, Daniel H.
    Hwang, E. Shelley
    Pollak, Kathryn, I
    Weinfurt, Kevin P.
    Ryser, Marc D.
    BREAST CANCER RESEARCH AND TREATMENT, 2022, 192 (03) : 517 - 527