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The PHARMS (Patient Held Active Record of Medication Status) feasibility study: a research proposal

Overview of attention for article published in BMC Research Notes, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
68 Mendeley
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Title
The PHARMS (Patient Held Active Record of Medication Status) feasibility study: a research proposal
Published in
BMC Research Notes, January 2018
DOI 10.1186/s13104-017-3118-3
Pubmed ID
Authors

Elaine Walsh, Laura J. Sahm, Patricia M. Kearney, Henry Smithson, David M. Kerins, Chrys Ngwa, Ciara Fitzgerald, Stephen Mc Carthy, Eimear Connolly, Kieran Dalton, Derina Byrne, Megan Carey, Colin Bradley

Abstract

Medication errors are a major source of preventable morbidity, mortality and cost and many occur at the times of hospital admission and discharge. Novel interventions (such as new methods of recording medication information and conducting medication reconciliation) are required to facilitate accurate transfer of medication information. With existing evidence supporting the use of information technology and the patient representing the one constant in the care process, an electronic patient held medication record may provide a solution. This study will assess the feasibility of introducing a patient held electronic medication record in primary and secondary care using the Consolidated Framework for Implementation Research (CFIR).This feasibility study is a mixed method study of community dwelling older adult patients admitted to an urban secondary care facility comprising a non-randomised intervention and qualitative interviews with key stakeholders. Outcomes of interest include clinical outcomes and process evaluation.This study will yield insights pertaining to feasibility, acceptability and participation for a more definitive evaluation of the intervention. The study also has the potential to contribute to knowledge of implementation of technology in a healthcare context and to the broader area of implementation science.

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 21%
Researcher 10 15%
Student > Ph. D. Student 6 9%
Student > Bachelor 6 9%
Other 5 7%
Other 11 16%
Unknown 16 24%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Nursing and Health Professions 8 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Business, Management and Accounting 3 4%
Economics, Econometrics and Finance 3 4%
Other 13 19%
Unknown 17 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 December 2018.
All research outputs
#1,169,562
of 15,082,829 outputs
Outputs from BMC Research Notes
#154
of 3,360 outputs
Outputs of similar age
#41,485
of 362,093 outputs
Outputs of similar age from BMC Research Notes
#1
of 3 outputs
Altmetric has tracked 15,082,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,360 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,093 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them