Evidence map›Paper›PMID 26980270›Full record

ArticleJMIR medical informatics2016

Health Information Technology: Meaningful Use and Next Steps to Improving Electronic Facilitation of Medication Adherence.

Hayden B Bosworth, Leah L Zullig, Phil Mendys, Michael Ho, Troy Trygstad, Christopher Granger, Megan M Oakes, Bradi B Granger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Mobile Apps for Increasing Treatment Adherence: Systematic Review.Journal of medical Internet research · 2019
    Pooled it
  4. "medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Olfactory training ball improves adherence and olfactory outcomes in post-infectious olfactory dysfunction.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020
    Article
  18. Article
  19. Medication Therapy Management: Current Challenges.Integrated pharmacy research & practice · 2020
    Review
  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

8 authors.

Hayden B BosworthDuke University Medical Center, Department of Medicine, Durham, NC, United States. hayden.bosworth@duke.edu.ORCID http://orcid.org/0000-0001-6188-9825
Leah L ZulligORCID http://orcid.org/0000-0002-6638-409X
Phil MendysORCID http://orcid.org/0000-0002-8436-5634
Michael HoORCID http://orcid.org/0000-0002-7775-6266
Troy TrygstadORCID http://orcid.org/0000-0002-4872-3158
Christopher GrangerORCID http://orcid.org/0000-0002-0045-3291
Megan M OakesORCID http://orcid.org/0000-0002-4619-1784
Bradi B GrangerORCID http://orcid.org/0000-0003-0828-6851

Funding

HSRD VA IK2 HX001345
6 · The paper itself

Abstract

backgroundThe use of health information technology (HIT) may improve medication adherence, but challenges for implementation remain.

objectiveThe aim of this paper is to review the current state of HIT as it relates to medication adherence programs, acknowledge the potential barriers in light of current legislation, and provide recommendations to improve ongoing medication adherence strategies through the use of HIT.

methodsWe describe four potential HIT barriers that may impact interoperability and subsequent medication adherence. Legislation in the United States has incentivized the use of HIT to facilitate and enhance medication adherence. The Health Information Technology for Economic and Clinical Health (HITECH) was recently adopted and establishes federal standards for the so-called "meaningful use" of certified electronic health record (EHR) technology that can directly impact medication adherence.

resultsThe four persistent HIT barriers to medication adherence include (1) underdevelopment of data reciprocity across clinical, community, and home settings, limiting the capture of data necessary for clinical care; (2) inconsistent data definitions and lack of harmonization of patient-focused data standards, making existing data difficult to use for patient-centered outcomes research; (3) inability to effectively use the national drug code information from the various electronic health record and claims datasets for adherence purposes; and (4) lack of data capture for medication management interventions, such as medication management therapy (MTM) in the EHR. Potential recommendations to address these issues are discussed.

conclusionTo make meaningful, high quality data accessible, and subsequently improve medication adherence, these challenges will need to be addressed to fully reach the potential of HIT in impacting one of our largest public health issues.

Indexed as

compliancehealth information technologymedication adherence

Identifiers

PMID26980270
PMCPMC4812045

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.