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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of patient adherence: a review of systematic reviews
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2013
|
| DOI | 10.3389/fphar.2013.00091 |
| Pubmed ID | |
| Authors |
Przemyslaw Kardas, Pawel Lewek, Michal Matyjaszczyk |
| Abstract |
Purpose: A number of potential determinants of medication non-adherence have been described so far. However, the heterogenic quality of existing publications poses the need for the use of a rigorous methodology in building a list of such determinants. The purpose of this study was a systematic review of current research on determinants of patient adherence on the basis of a recently agreed European consensus taxonomy and terminology. Methods: MEDLINE, EMBASE, CINAHL, Cochrane Library, IPA, and PsycINFO were systematically searched for systematic reviews published between 2000/01/01 and 2009/12/31 that provided determinants on non-adherence to medication. The searches were limited to reviews having adherence to medication prescribed by health professionals for outpatient as a major topic. Results: Fifty-one reviews were included in this review, covering 19 different disease categories. In these reviews, exclusively assessing non-adherence to chronic therapies, 771 individual factor items were identified, of which most were determinants of implementation, and only 47-determinants of persistence with medication. Factors with an unambiguous effect on adherence were further grouped into 8 clusters of socio-economic-related factors, 6 of healthcare team- and system-related factors, 6 of condition-related factors, 6 of therapy-related factors, and 14 of patient-related factors. The lack of standardized definitions and use of poor measurement methods resulted in many inconsistencies. Conclusions: This study provides clear evidence that medication non-adherence is affected by multiple determinants. Therefore, the prediction of non-adherence of individual patients is difficult, and suitable measurement and multifaceted interventions may be the most effective answer toward unsatisfactory adherence. The limited number of publications assessing determinants of persistence with medication, and lack of those providing determinants of adherence to short-term treatment identify areas for future research. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Brazil | 1 | 10% |
| Netherlands | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 919 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Brazil | 2 | <1% |
| United States | 2 | <1% |
| Spain | 2 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 906 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 110 | 12% |
| Student > Ph. D. Student | 106 | 12% |
| Student > Bachelor | 97 | 11% |
| Researcher | 94 | 10% |
| Student > Postgraduate | 51 | 6% |
| Other | 178 | 19% |
| Unknown | 283 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 225 | 24% |
| Nursing and Health Professions | 86 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 80 | 9% |
| Psychology | 54 | 6% |
| Social Sciences | 49 | 5% |
| Other | 125 | 14% |
| Unknown | 300 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 13 July 2023.
All research outputs
#995,163
of 23,575,882 outputs
Outputs from Frontiers in Pharmacology
#336
of 17,199 outputs
Outputs of similar age
#8,621
of 284,677 outputs
Outputs of similar age from Frontiers in Pharmacology
#5
of 167 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,199 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 284,677 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.