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Dove Medical Press

Validation of an instrument to measure patients’ experiences of medicine use: the Living with Medicines Questionnaire

Overview of attention for article published in Patient preference and adherence, March 2017
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
76 Mendeley
Title
Validation of an instrument to measure patients’ experiences of medicine use: the Living with Medicines Questionnaire
Published in
Patient preference and adherence, March 2017
DOI 10.2147/ppa.s126647
Pubmed ID
Authors

Janet Krska, Barbra Katusiime, Sarah A Corlett

Abstract

Medicine-related burden is an increasingly recognized concept, stemming from the rising tide of polypharmacy, which may impact on patient behaviors, including nonadherence. No instruments currently exist which specifically measure medicine-related burden. The Living with Medicines Questionnaire (LMQ) was developed for this purpose. This study validated the LMQ in a sample of adults using regular prescription medicines in the UK. Questionnaires were distributed in community pharmacies and public places in southeast England or online through UK health websites and social media. A total of 1,177 were returned: 507 (43.1%) from pharmacy distribution and 670 (56.9%) online. Construct validity was assessed by principal components analysis and item reduction undertaken on the original 60-item pool. Known-groups analysis assessed differences in mean total scores between participants using different numbers of medicines and between those who did or did not require assistance with medicine use. Internal consistency was assessed by Cronbach's alpha. Free-text comments were analyzed thematically to substantiate underlying dimensions. A 42-item, eight-factor structure comprising intercorrelated dimensions (patient-doctor relationships and communication about medicines, patient-pharmacist communication about medicines, interferences with daily life, practical difficulties, effectiveness, acceptance of medicine use, autonomy/control over medicines and concerns about medicine use) was derived, which explained 57.4% of the total variation. Six of the eight subscales had acceptable internal consistency (α>0.7). More positive experiences were observed among patients using eight or fewer medicines compared to nine or more, and those independent with managing/using their medicines versus those requiring assistance. Free-text comments, provided by almost a third of the respondents, supported the domains identified. The resultant LMQ-2 is a valid and reliable multidimensional measure of prescription medicine use experiences, which covers more diverse domains than existing questionnaires. However, further validation work is necessary.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Master 14 18%
Researcher 10 13%
Student > Bachelor 6 8%
Other 4 5%
Other 8 11%
Unknown 20 26%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 14 18%
Medicine and Dentistry 13 17%
Social Sciences 10 13%
Nursing and Health Professions 3 4%
Business, Management and Accounting 2 3%
Other 7 9%
Unknown 27 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 April 2022.
All research outputs
#3,139,768
of 25,382,440 outputs
Outputs from Patient preference and adherence
#162
of 1,757 outputs
Outputs of similar age
#55,758
of 324,443 outputs
Outputs of similar age from Patient preference and adherence
#9
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 90% 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 324,443 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 82% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.