Evidence map›Paper›PMID 23322549›Full record

ArticleDrug safety2013

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

Faye Haffey, Richard R W Brady, Simon Maxwell

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Drug safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
28.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Adopting mobile health applications by nurses: a scoping review.Journal of research in nursing : JRN · 2022
    Article
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  8. Review
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  15. The Regulatory Challenge of Mobile Health: Lessons for Canada.Healthcare policy = Politiques de sante · 2019
    Review
  16. Article
  17. Article
  18. Utilization of Smartphone Applications by Anesthesia Providers.Anesthesiology research and practice · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Faye HaffeyNeonatal Department, Flinders Medical Centre, Adelaide, SA, Australia.
Richard R W Brady
Simon Maxwell
Flinders Medical Centre · AUNHS Lothian · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany 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.

methodWe 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.

resultsOf 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).

conclusionsThere 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.

Indexed as

Drug Dosage CalculationsAnalgesics, OpioidCell PhoneComputers, HandheldDose-Response Relationship, DrugHumansMedical Informatics ApplicationsSoftwareAnalgesics, Opioid

Identifiers

PMID23322549
OpenAlexW2008825402

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.