| Title |
Connection between self-stigma, adherence to treatment, and discontinuation of medication
|
|---|---|
| Published in |
Patient preference and adherence, July 2016
|
| DOI | 10.2147/ppa.s99136 |
| Pubmed ID | |
| Authors |
Dana Kamaradova, Klara Latalova, Jan Prasko, Radim Kubinek, Kristyna Vrbova, Barbora Mainerova, Andrea Cinculova, Marie Ociskova, Michaela Holubova, Jarmila Smoldasova, Anezka Tichackova |
| Abstract |
Self-stigma plays a role in many areas of the patient's life. Furthermore, it also discourages therapy. The aim of our study was to examine associations between self-stigma and adherence to treatment and discontinuation of medication in patients from various diagnostic groups. This cross-sectional study involved outpatients attending the Department of Psychiatry, University Hospital Olomouc, Czech Republic. The level of self-stigma was measured with the Internalized Stigma of Mental Illness and adherence with the Drug Attitude Inventory. The patients also anonymously filled out a demographic questionnaire which included a question asking whether they had discontinued their medication in the past. We examined data from 332 patients from six basic diagnostic categories (substance abuse disorders, schizophrenia, bipolar disorders, depressive disorders, anxiety disorders, and personality disorders). The study showed a statistically significant negative correlation between self-stigma and adherence to treatment in all diagnostic groups. Self-stigma correlated positively and adherence negatively with the severity of disorders. Another important factor affecting both variables was partnership. Self-stigma positively correlated with doses of antidepressants and adherence with doses of anxiolytics. Self-stigma also negatively correlated with education, and positively with a number of hospitalizations and number of psychiatrists visited. Adherence was further positively correlated with age and age of onset of disorders. Regression analysis showed that self-stigma was an important factor negatively influencing adherence to treatment and significantly contributing to voluntary discontinuation of drugs. The level of self-stigma did not differ between diagnostic categories. Patients suffering from schizophrenia had the lowest adherence to treatment. The study showed a significant correlation between self-stigma and adherence to treatment. High levels of self-stigma are associated with discontinuation of medications without a psychiatrist's recommendation. This connection was present in all diagnostic groups. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Canada | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 250 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 14% |
| Student > Master | 30 | 12% |
| Researcher | 25 | 10% |
| Student > Ph. D. Student | 20 | 8% |
| Student > Doctoral Student | 14 | 6% |
| Other | 43 | 17% |
| Unknown | 82 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 39 | 16% |
| Medicine and Dentistry | 37 | 15% |
| Nursing and Health Professions | 28 | 11% |
| Social Sciences | 16 | 6% |
| Neuroscience | 11 | 4% |
| Other | 28 | 11% |
| Unknown | 91 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 16 August 2022.
All research outputs
#1,650,166
of 25,394,764 outputs
Outputs from Patient preference and adherence
#65
of 1,759 outputs
Outputs of similar age
#29,830
of 367,374 outputs
Outputs of similar age from Patient preference and adherence
#5
of 69 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,759 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 96% 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 367,374 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 91% of its contemporaries.
We're also able to compare this research output to 69 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 92% of its contemporaries.