Use of electronic medical records to monitor the safe and effective prescribing of medicinal cannabis: is it feasible?

被引:4
作者
Hallinan, Christine M. [1 ,2 ,3 ]
Gunn, Jane M. [2 ]
Bonomo, Yvonne A. [2 ,4 ]
机构
[1] Univ Melbourne, Fac Med Dent & Hlth Sci, Melbourne Med Sch, Dept Gen Practice, Level 2,780 Elizabeth St, Melbourne, Vic 3004, Australia
[2] Univ Melbourne, Fac Med Dent & Hlth Sci, Level 2,Alan Gilbert Bldg,Grattan St, Parkville, Vic 3010, Australia
[3] Univ Melbourne, Fac Med Dent & Hlth Sci, Hlth & Biomed Res Informat Technol Unit HaBIC R2, Level 2,780 Elizabeth St, Melbourne, Vic 3004, Australia
[4] St Vincents Hosp, Dept Addict Med, Fitzroy, Vic 3065, Australia
关键词
medication systems; electronic medical records; medicinal cannabis; patient safety; pharmacovigilance; physicians' practice patterns; primary health care; public health: practice; safety management;
D O I
10.1071/PY22054
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background. General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia. Methods. EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020. Results. Eighty patients with 170 prescriptions of medicinal cannabis were identified in the Patron repository. Reasons for prescription included anxiety, multiple sclerosis, cancer, nausea, and Crohn's disease. Nine patients showed symptoms of a possible adverse event, including depression, motor vehicle accident, gastrointestinal symptoms, and anxiety. Conclusions. The recording of medicinal cannabis effects in the patient EMR provides potential for medicinal cannabis monitoring in the community. This is especially feasible if monitoring were to be embedded into general practitioner workflow.
引用
收藏
页码:564 / 572
页数:9
相关论文
共 38 条
  • [1] Epidemiological characteristics, safety and efficacy of medical cannabis in the elderly
    Abuhasira, Ran
    Schleider, Lihi Bar-Lev
    Mechoulam, Raphael
    Novack, Victor
    [J]. EUROPEAN JOURNAL OF INTERNAL MEDICINE, 2018, 49 : 44 - 50
  • [2] Learning statistical models of phenotypes using noisy labeled training data
    Agarwal, Vibhu
    Podchiyska, Tanya
    Banda, Juan M.
    Goel, Veena
    Leung, Tiffany I.
    Minty, Evan P.
    Sweeney, Timothy E.
    Gyang, Elsie
    Shah, Nigam H.
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2016, 23 (06) : 1166 - 1173
  • [3] Allan GM, 2018, CAN FAM PHYSICIAN, V64, pE78
  • [4] Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models
    Banda, Juan M.
    Seneviratne, Martin
    Hernandez-Boussard, Tina
    Shah, Nigam H.
    [J]. ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 1, 2018, 1 : 53 - 68
  • [5] Real World Evidence in Medical Cannabis Research
    Banerjee, Rishi
    Erridge, Simon
    Salazar, Oliver
    Mangal, Nagina
    Couch, Daniel
    Pacchetti, Barbara
    Sodergren, Mikael Hans
    [J]. THERAPEUTIC INNOVATION & REGULATORY SCIENCE, 2022, 56 (01) : 8 - 14
  • [6] Boyle D, 2019, PATRON Primary Care Research Data Repository: University of Melbourne Figshare
  • [7] Charron L, 2015, PLOS ONE, V10, DOI [10.1371/journal.pone.0125154, 10.1371/journal.pone.0139701]
  • [8] An International Initiative To Create a Collaborative for Pharmacovigilance in Hospice and Palliative Care Clinical Practice
    Currow, David C.
    Rowett, Debra
    Doogue, Matthew
    To, Timothy H. M.
    Abernethy, Amy P.
    [J]. JOURNAL OF PALLIATIVE MEDICINE, 2012, 15 (03) : 282 - 286
  • [9] Ongoing Challenges in Pharmacovigilance
    Dal Pan, Gerald J.
    [J]. DRUG SAFETY, 2014, 37 (01) : 1 - 8
  • [10] Dhruva Sanket S, 2018, P T, V43, P464