| Title |
Variation in medication adherence across patient behavioral segments: a multi-country study in hypertension
|
|---|---|
| Published in |
Patient preference and adherence, October 2015
|
| DOI | 10.2147/ppa.s91284 |
| Pubmed ID | |
| Authors |
Robert Sandy, Ulla Connor |
| Abstract |
This study determines the following for a hypertensive patient population: 1) the prevalence of patient worldview clusters; 2) differences in medication adherence across these clusters; and 3) the adherence predictive power of the clusters relative to measures of patients' concerns over their medication's cost, side effects, and efficacy. Members from patient panels in the UK, Germany, Italy, and Spain were invited to participate in an online survey that included the Medication Adherence Report Scale-5 (MARS-5) adherence instrument and a patient segmentation instrument developed by CoMac Analytics, Inc, based on a linguistic analysis of patient talk. Subjects were screened to have a diagnosis of hypertension and treatment with at least one antihypertensive agent. A total of 353 patients completed the online survey in August/September 2011 and were categorized against three different behavioral domains: 1) control orientation (n=176 respondents [50%] for I, internal; n=177 respondents [50%] for E, external); 2) emotion (n=100 respondents [28%] for P, positive; n=253 respondents [72%] for N, negative); and 3) agency or ability to act on choices (n=227 respondents [64%] for H, high agency; n=126 [36%] for L, low agency). Domains were grouped into eight different clusters with EPH and IPH being the most prevalent (88 respondents [25%] in each cluster). The prevalence of other behavior clusters ranged from 6% (22 respondents, INH) to 12% (41 respondents, IPL). The proportion of patients defined as perfectly adherent (scored 25 on MARS-5) varied sharply across the segments: 51% adherent (45 of 88 respondents) for the IPH vs 8% adherent (2 of 25 respondents) classified as INL. Side effects, being employed, and stopping medicine because the patient got better were all significant determinants of adherence in a probit regression model. By categorizing patients into worldview clusters, we identified wide differences in adherence that can be used to prioritize interventions and to customize adherence messages. Also, the predictive power of segments was greater than that for variables measuring concerns over cost, side effects, and efficacy. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 9 | 13% |
| Other | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 15% |
| Nursing and Health Professions | 9 | 13% |
| Social Sciences | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Business, Management and Accounting | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 25 | 35% |
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 October 2015.
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#20,553,433
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Outputs from Patient preference and adherence
#1,434
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#206,127
of 281,610 outputs
Outputs of similar age from Patient preference and adherence
#50
of 51 outputs
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