| Title |
Improving adherence to gout therapy: an expert review
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, May 2018
|
| DOI | 10.2147/tcrm.s162956 |
| Pubmed ID | |
| Authors |
Fernando Perez-Ruiz, Giovambattista Desideri |
| Abstract |
Gout is the most common form of inflammatory arthritis and is a considerable burden to patients and health care systems worldwide. Despite its clinical, economic, and social impact, patient persistence and adherence to prescribed urate-lowering therapies (ULT), ranging from 20% to 70%, is considered to be among the poorest of all chronic conditions. The majority of gout patients consequently receive suboptimal benefits of their prescribed pharmacotherapies. As gout is associated with several comorbidities along with an increased risk of premature mortality, achieving improved outcomes through adherence to ULT is crucial. Adherence to medication is complex and multidimensional and includes a combination of treatment-, patient-, and physician-related factors. This review explores the factors related to ULT adherence with the overall aim of helping health care providers better understand the barriers to adherence. Several interventions targeting pharmacists, nurses, and patients are being investigated to improve adherence. Furthermore, enhanced awareness and understanding of the need to treat-to-target in order to improve patient outcomes is needed among health care professionals. Greater understanding of the multidimensional nature of non-adherence can help physicians to treat gout more effectively and empower patients to improve self-management of this long-term disease. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 16% |
| Student > Ph. D. Student | 11 | 10% |
| Researcher | 10 | 9% |
| Student > Bachelor | 8 | 7% |
| Other | 6 | 6% |
| Other | 22 | 21% |
| Unknown | 33 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 21% |
| Nursing and Health Professions | 18 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 11% |
| Social Sciences | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 38 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 April 2021.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#926
of 1,323 outputs
Outputs of similar age
#219,253
of 339,234 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#20
of 32 outputs
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