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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of the Adherence Barriers Questionnaire – an instrument for identifying potential risk factors associated with medication-related non-adherence
|
|---|---|
| Published in |
BMC Health Services Research, April 2015
|
| DOI | 10.1186/s12913-015-0809-0 |
| Pubmed ID | |
| Authors |
Sabrina Müller, Thomas Kohlmann, Thomas Wilke |
| Abstract |
Medication non-adherence is a major challenge in the real-life treatment of chronically ill patients. To meet this challenge, adherence interventions with a tailored approach towards patient-specific adherence barriers that are identified with a reliable and practicable questionnaire are needed. The aim of this investigation was to develop and validate such a questionnaire, the "Adherence Barriers Questionnaire (ABQ)". The German ABQ was developed and tested in 432 patients with atrial fibrillation in a multicentre observational cohort study. Evaluation of the questionnaire included an assessment of internal consistency as well as factor analysis. Criterion-related external validity was assessed by comparing the ABQ score with (1) the degree of self-reported adherence and (2) the time in therapeutic range which describes the anticoagulation quality achieved by patients treated with oral anticoagulation. The final 14-item ABQ scale demonstrated high internal consistency (Cronbach's alpha = 0.820). Factor analysis identified a three-factor solution, representing intentional adherence barriers with 5 items (31.9% of the variance), medication-/health care system-related adherence barriers with 5 items (13.3% of the variance) and unintentional adherence barriers with 4 items (7.7% of the variance). The ABQ correlated significantly with self-reported non-adherence (Spearman's rho = 0.438, p < 0.001) as well as time in therapeutic range (Spearman's rho = - 0.161, p < 0.010). Patients with above-average ABQ scores (increased number and/or strength of existing adherence barriers) were significantly (p < 0.005, Pearson Chi-Square) more likely to have a poor anticoagulation quality (TTR < 60%) than patients with a lower ABQ score (44.6% versus 27.3%). The ABQ is a practicable, reliable and valid instrument for identifying patient-specific barriers to medication-related adherence. Future research is required to examine the ability of the ABQ to identify patient perception/behaviour changes over time which may be important for the measurement of success of adherence interventions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Bangladesh | 1 | <1% |
| Argentina | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 194 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 15% |
| Student > Bachelor | 26 | 13% |
| Student > Ph. D. Student | 23 | 12% |
| Researcher | 18 | 9% |
| Student > Doctoral Student | 18 | 9% |
| Other | 44 | 22% |
| Unknown | 39 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 28% |
| Nursing and Health Professions | 29 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 23 | 12% |
| Social Sciences | 9 | 5% |
| Psychology | 8 | 4% |
| Other | 24 | 12% |
| Unknown | 49 | 25% |
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 14 April 2015.
All research outputs
#18,405,972
of 22,799,071 outputs
Outputs from BMC Health Services Research
#6,469
of 7,629 outputs
Outputs of similar age
#192,918
of 264,200 outputs
Outputs of similar age from BMC Health Services Research
#70
of 87 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 264,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.