Literature DB >> 23322549

A comparison of the reliability of smartphone apps for opioid conversion.

Faye Haffey1, Richard R W Brady, Simon Maxwell.   

Abstract

BACKGROUND: Many medical professionals use smartphone applications (apps) on a daily basis to support clinical decision making. Opioid switching (conversion of one opioid to another at equianalgesic dose) is common in clinical practice and often challenging for doctors. Apps providing an opioid conversion tool can therefore be a useful resource. Despite rapid growth in the use of medical apps, the lack of robust regulation and peer review to ensure the accuracy and reliability of app content is currently an area of concern.
METHOD: We searched major online app stores for apps providing an opioid dose conversion tool. We assessed output variability between apps in the dose calculation of seven opioid switches, as well as assessing the level of professional medical involvement in the authorship, creation and design of the apps.
RESULTS: Of 23 different apps identified, more than half (n = 12; 52 %) had no stated medical professional involvement and only 11 (48 %) apps provided direct references to primary sources for their opioid conversion ratios. Conversion of 1 mg of oral morphine to oral codeine demonstrated the largest conversion output range (median 6.67 mg, range 3.333-12 mg). Conversion of 1 mg of oral morphine to methadone ranged from 0.05-0.67 mg, with only 44 % of methadone-converting apps (n = 4) commenting that the conversion ratio changes with magnitude of methadone dose. Overall, 35 % of apps (n = 8) did not warn the user about the standard practice of dose reduction when opioid switching. There was a statistically significant difference in the mean conversion output for hydromorphone (oral) between apps with and without medical professional involvement (0.2256 vs 0.2536; p = 0.0377).
CONCLUSIONS: There are significant concerns with regard to the reliability of information provided by apps offering opioid dose conversion, with lack of information regarding evidence-based content and peer review in many cases. It is crucial that better regulation of medical apps is instigated in order to ensure that patient safety is maintained.

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Year:  2013        PMID: 23322549     DOI: 10.1007/s40264-013-0015-0

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  18 in total

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Authors:  A D Hamilton; R R W Brady
Journal:  Br J Dermatol       Date:  2012-04-04       Impact factor: 9.302

2.  eDrugCalc: an online self-assessment package to enhance medical students' drug dose calculation skills.

Authors:  Daniel S McQueen; Michael J Begg; Simon R J Maxwell
Journal:  Br J Clin Pharmacol       Date:  2010-10       Impact factor: 4.335

Review 3.  Use of handheld computers in medical education. A systematic review.

Authors:  Anna Kho; Laura E Henderson; Daniel D Dressler; Sunil Kripalani
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4.  Undergraduate preparation for prescribing: the views of 2413 UK medical students and recent graduates.

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5.  Junior doctors prescribing: enhancing their learning in practice.

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Journal:  Br J Clin Pharmacol       Date:  2012-02       Impact factor: 4.335

Review 6.  The treatment of cancer pain.

Authors:  K M Foley
Journal:  N Engl J Med       Date:  1985-07-11       Impact factor: 91.245

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8.  Errors in opioid prescribing: a prospective survey in cancer pain.

Authors:  Philip E Shaheen; Susan B Legrand; Declan Walsh; Bassam Estfan; Mellar P Davis; Ruth L Lagman; Mohammad Riaz; Bushra Cheema
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Review 9.  Opioid rotation: the science and the limitations of the equianalgesic dose table.

Authors:  Helena Knotkova; Perry G Fine; Russell K Portenoy
Journal:  J Pain Symptom Manage       Date:  2009-09       Impact factor: 3.612

10.  Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study.

Authors:  Bethany S Davies; Jethin Rafique; Tim R Vincent; Jil Fairclough; Mark H Packer; Richard Vincent; Inam Haq
Journal:  BMC Med Educ       Date:  2012-01-12       Impact factor: 2.463

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  30 in total

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Review 2.  Contemporary hernia smartphone applications (apps).

Authors:  K Connor; R R W Brady; A de Beaux; B Tulloh
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3.  Integrating mHealth and mobile technology education into the pharmacy curriculum.

Authors:  Timothy Dy Aungst
Journal:  Am J Pharm Educ       Date:  2014-02-12       Impact factor: 2.047

4.  Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol.

Authors:  Anna E Roberts; Tracey A Davenport; Toby Wong; Hyei-Won Moon; Ian B Hickie; Haley M LaMonica
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5.  Adopting mobile health applications by nurses: a scoping review.

Authors:  Soghra Nezamdoust; Mohammadhiwa Abdekhoda; Fatemeh Ranjbaran; Saber Azami-Aghdash
Journal:  J Res Nurs       Date:  2022-07-04

Review 6.  Smartphone apps to support hospital prescribing and pharmacology education: a review of current provision.

Authors:  Faye Haffey; Richard R W Brady; Simon Maxwell
Journal:  Br J Clin Pharmacol       Date:  2014-01       Impact factor: 4.335

7.  Safe Opioid Prescription: A SMART on FHIR Approach to Clinical Decision Support.

Authors:  Shyamashree Sinha; Mark Jensen; Sarah Mullin; Peter L Elkin
Journal:  Online J Public Health Inform       Date:  2017-09-08

8.  Review of Popularity and Quality Standards of Opioid-Related Smartphone Apps.

Authors:  Roger Vilardaga; Tykira Fisher; Paige E Palenski; Viggy Kumaresan; Paolo Mannelli; Maggie M Sweitzer; Francis Joseph McClernon; Matthew M Engelhard; Patricia L Sabo; Kathleen A Garrison
Journal:  Curr Addict Rep       Date:  2020-11-10

9.  Incorporating smartphones into clinical practice.

Authors:  Fernando A Angarita; Matt Strickland; Sergio A Acuna
Journal:  Ann Med Surg (Lond)       Date:  2015-05-20

10.  What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist.

Authors:  Jeremy C Wyatt; Harold Thimbleby; Paul Rastall; Jan Hoogewerf; Darren Wooldridge; John Williams
Journal:  Clin Med (Lond)       Date:  2015-12       Impact factor: 2.659

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