| Title |
Development and validation of the Medication Regimen Simplification Guide for Residential Aged CarE (MRS GRACE)
|
|---|---|
| Published in |
Clinical Interventions in Aging, May 2018
|
| DOI | 10.2147/cia.s158417 |
| Pubmed ID | |
| Authors |
Esa YH Chen, Janet K Sluggett, Jenni Ilomäki, Sarah N Hilmer, Megan Corlis, Leonie J Picton, Laura Dean, Christopher P Alderman, Nicholas Farinola, Joy Gailer, Jane Grigson, Andrew R Kellie, Peter JC Putsey, Solomon Yu, J Simon Bell |
| Abstract |
Residents of aged care facilities use increasingly complex medication regimens. Reducing unnecessary medication regimen complexity (eg, by consolidating the number of administration times or using alternative formulations) may benefit residents and staff. To develop and validate an implicit tool to facilitate medication regimen simplification in aged care facilities. A purposively selected multidisciplinary expert panel used modified nominal group technique to identify and prioritize factors important in determining whether a medication regimen can be simplified. The five prioritized factors were formulated as questions, pilot-tested using non-identifiable medication charts and refined by panel members. The final tool was validated by two clinical pharmacists who independently applied the tool to a random sample of 50 residents of aged care facilities to identify opportunities for medication regimen simplification. Inter-rater agreement was calculated using Cohen's kappa. The Medication Regimen Simplification Guide for Residential Aged CarE (MRS GRACE) was developed as an implicit tool comprising of five questions about 1) the resident; 2) regulatory and safety requirements; 3) drug interactions; 4) formulation; and 5) facility and follow-up considerations. Using MRS GRACE, two pharmacists independently simplified medication regimens for 29/50 and 30/50 residents (Cohen's kappa=0.38, 95% CI 0.12-0.64), respectively. Simplification was possible for all residents with five or more administration times. Changing an administration time comprised 75% of the two pharmacists' recommendations. Using MRS GRACE, two clinical pharmacists independently simplified over half of residents' medication regimens with fair agreement. MRS GRACE is a promising new tool to guide medication regimen simplification in aged care. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 9 | 41% |
| Spain | 3 | 14% |
| Portugal | 2 | 9% |
| Curaçao | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 4 | 18% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 18 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 16% |
| Nursing and Health Professions | 6 | 14% |
| Unspecified | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 22 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 08 November 2019.
All research outputs
#2,458,003
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#263
of 1,968 outputs
Outputs of similar age
#49,731
of 339,234 outputs
Outputs of similar age from Clinical Interventions in Aging
#11
of 47 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 86% 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 339,234 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 85% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.