Knowledge of and attitudes towards depression and adherence to treatment: The Antidepressant Adherence Scale (AAS)

Gabriel, Adel; Violato, Claudio

doi:10.1016/j.jad.2010.07.013

Cited by 27 publications

(20 citation statements)

References 44 publications

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“…We used a mixed method approach to generate structured data from unstructured text, evaluate the hypotheses, and model the relationship between attitude and the identified variables. Our findings showed that in line with the literature, "drug ineffectiveness" [24,25], "experience of ADR" [26][27][28], "lack of knowledge" [29,30] and "duration of treatment (usage)" were associated with negative attitude toward antidepressants. Association between variable "patient-physician interaction" and attitude was not tested in this study, because of low IAA and high rate of missing values.…”

Section: Summary Of the Findingssupporting

confidence: 89%

Utilizing Consumer Health Posts to Identify Underlying Factors Associated with Patients� Attitudes towards Antidepressants (Preprint)

Zolnoori¹,

Fung²,

Fontelo³

et al. 2018

Preprint

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BACKGROUND: Non-adherence to antidepressants is a major obstacle to antidepressants therapeutic benefits, resulting in a significant burden on individuals and the healthcare system. Several studies showed that non-adherence is weakly associated with personal and clinical variables, but strongly associated with patients' beliefs and attitudes towards medications. Patients' drug review posts in online healthcare communities may provide a significant insight into patients' attitudes towards antidepressants and address the challenges of self-report methods such as patients' recruitment.

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Section: Summary Of the Findingssupporting

confidence: 89%

Utilizing Consumer Health Posts to Identify Underlying Factors Associated with Patients� Attitudes towards Antidepressants (Preprint)

Zolnoori¹,

Fung²,

Fontelo³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Some relief of depressive symptoms can result from conventional treatment options including pharmacotherapy, psychotherapy, or the combination of these therapies; however, there are several limitations to these treatment options such as the cost and accessibility of services (Gabriel, & Violato, 2010), anticipated stigmatisation (Acosta, Rodríguez, & Cabrera, 2013), and adverse side-effects like insomnia, sedation and neurological or sexual dysfunction (American Psychiatric Association, 2013). As a result of these limitations, a large number of people with depression are not receiving help for symptoms.…”

mentioning

confidence: 99%

Web-Based Intervention Preferences and Physical Activity Motivation of People with Depressive Symptoms

Alley

Andersson

Burton

et al. 2017

HPB

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Physical activity is an effective method for managing depressive symptoms, and web-based interventions may be an effective tool for promoting physical activity within this population. People with depressive symptoms may experience condition-specific facilitators and barriers to be considered when developing physical activity interventions. This study provides insight into web-based physical activity intervention preferences and physical activity motivation of people with depressive symptoms. This study was part of a larger trial of a web-based physical activity intervention for people with depressive symptoms. Thematic analysis of participants ' (N = 20) written responses to open-ended survey questions was conducted. Preferences for web-based intervention features included social forums, self-monitoring, suggestions for types of physical activity in different circumstances and information targeted to people with depressive symptoms. When discussing physical activity motivation instrumental beliefs (i.e., beliefs of the benefits and cost of physical activity) and controllability (i.e., whether the behaviour is under their control) were discussed. Additionally, people reported condition-specific barriers of physical activity such as depressive symptoms of apathy, worthlessness, and pain. Further research is needed to test the effectiveness of web-based physical activity interventions targeting people with depressive symptoms, which incorporates these findings.

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“…Based on these findings, five factors were extracted from the risk factors questionnaire related to medication non-adherence including factors related to disease, patient and environment, attitude toward treatment and therapist, drug side effects, and previous experience toward treatment. Gabriel et al (19) referred to four aspects of factors influencing non-adherence, including amnesia, feeling of recovery, feeling of exacerbation, and carelessness. Some of the above-mentioned items are in line with the research in the present study.…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Medication Non-Adherence Questionnaire in Patients With Psychiatric Disorders

Bahreini

Rafiee

Pouladi

et al. 2015

Jundishapur J Chronic Dis Care

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Background: Non-adherence to medication in psychiatric patients and identification of related risk factors has provided serious challenges for care service providers. Objectives: The current study aims to determine the psychometrics of a questionnaire used to indicate risk factors related to nonadherence to medication in psychiatric patients. Patients and Methods: Four-hundred patients with psychiatric disorders in Bushehr and Shiraz were enrolled in this cross-sectional study using convenient sampling methods. An initial questionnaire was designed with 23 items. Following the confirmation of content and face validity of the questionnaire, the questionnaire was completed by the participants and 11 experts contributing to the administration. The item impact score, content validity index (CVI), and content validity ratio (CVR) were examined using exploratory factor analysis. In order to calculate the internal and external reliability, the Kuder-Richardson and re-test methods were used. Results: Factor analysis revealed five factors in the questionnaire. Five of 23 items had low content validity and were eliminated. The CVI and CVR of the questionnaire were 0.89 and 0.85, respectively. One statement was eliminated owing to a reduced factor load. Internal reliability was r = 0.86, estimated using the Kuder-Richardson method, and external reliability was r = 0.93, estimated via a Pearson correlation coefficient. Five factors resulting from the questionnaire had optimal reliability according to the Cronbach's alpha coefficient (0.79). Five factors were extracted, including factors related to disease, patient and environment, attitudes toward treatment and therapist, drug side effects, and previous experience to treatment. Conclusions: The questionnaire on risk factors related to medication non-adherence in patients with psychiatric disorders had acceptable psychometric characteristics, and is a useful tool to be implemented in medical centers and psychological clinics.

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Knowledge of and attitudes towards depression and adherence to treatment: The Antidepressant Adherence Scale (AAS)

Cited by 27 publications

References 44 publications

Utilizing Consumer Health Posts to Identify Underlying Factors Associated with Patients� Attitudes towards Antidepressants (Preprint)

Utilizing Consumer Health Posts to Identify Underlying Factors Associated with Patients� Attitudes towards Antidepressants (Preprint)

Web-Based Intervention Preferences and Physical Activity Motivation of People with Depressive Symptoms

Psychometric Properties of the Medication Non-Adherence Questionnaire in Patients With Psychiatric Disorders

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