Beliefs about medications predict adherence to antidepressants in older adults

Adherence to Non-Antibiotic Prophylactic Regimens in Women with Recurrent Urinary Tract Infections

INTRODUCTION AND HYPOTHESIS

Non-antibiotic regimens such as methenamine hippurate, D-mannose, and vaginal estrogen are often prescribed as prevention for recurrent urinary tract infections (rUTIs). The objective of our study was to describe adherence rates in women prescribed non-antibiotic prophylaxis for rUTI and to explore factors associated with adherence.

METHODS

This was an ambispective cohort study describing and comparing adherence to non-antibiotic prophylactic regimens for rUTIs. Adult women who sought care from a Urogynecology clinic at a tertiary care center for rUTIs or frequent UTIs between January 2020 and December 2021 were included if they were prescribed a non-antibiotic prophylactic regimen. The Medication Adherence Questionnaire (MAQ) was administered to all eligible patients prospectively and then their charts were reviewed retrospectively for demographic and clinical factors. A score of 0 on the MAQ defined medication adherence. Any score ≥ 1 defined medication non-adherence.

RESULTS

A total of 90 patients met the inclusion criteria and completed the MAQ, with 33 (37%) in the adherent group and 57 (63%) in the non-adherent group. Mean age was 64.7 (± 14.7) years. Vaginal estrogen (81.1%) was the most commonly prescribed prophylactic regimen, followed by methenamine hippurate (26.7%). 73.3% of patients met criteria for rUTI at the index visit as per the American Urogynecologic Society best-practice statement. No demographic or clinical factors were associated with adherence to non-antibiotic prophylactic regimens.

CONCLUSIONS

Non-antibiotic prophylactic rUTI regimens are commonly prescribed; however, adherence remains low at 37%. There were no predictors associated with patient compliance. Clinicians should therefore inquire about adherence prior to escalating treatment.

Reasons for non-adherence with antidepressants using the Medication Adherence Reasons Scale in five European countries and United States

BACKGROUND

Depression affects approximately 280 million people worldwide. 50 % of individuals with depression discontinue antidepressant therapy within six months of initiation. The study objective was to determine the extent and reasons for non-adherence with antidepressants in the United States (US) and five European Countries (EU).

METHODS

Data from the National Health and Wellness Study (NHWS), a self-administered, internet-based cross-sectional survey of US adults in 2019 and 5 EU countries in 2020 was included. NHWS participants who self-reported taking daily prescription medication(s) to treat depression responded to the 19 reasons for non-adherence and one global item in the Medication Adherence Reasons Scale (MAR-Scale). Frequencies were used to identify the reasons for non-adherence.

RESULTS

Based on data from 7506 US patients and 4230 EU patients, 46.19 % of patients reported non-adherence to at least one reason in the EU, and 42.9 % in the US. The most common reason for non-adherence in the EU was concern about long-term effects and possible side effects from the medication; and in the US, it was simple forgetfulness. Non-adherence lasted longer due to lack of beliefs in needing medication anymore in both US and EU.

LIMITATIONS

The self-reported MAR-Scale can have recall bias and an underestimation of non-adherence. The cross-sectional study design captures the adherence behavior only at one point of time.

CONCLUSION

Individuals on antidepressants have to be educated about the need for the medication and their concerns about long term effects and possible side effects from the medication have to be addressed.

Baseline beliefs about medication are associated with outcomes of antidepressants in inpatients with first-diagnosed depression under supervised therapeutic compliance

The aim of the present study was to explore the effect of baseline beliefs about medication on therapeutic outcomes of antidepressants in inpatients with first-diagnosed depression under supervised therapeutic compliance. Ninety-seven inpatients with first-diagnosed depression were included to collect their baseline demographic data to evaluate the Hamilton depression rating scale (HAMD) scores and the beliefs about medicine questionnaire-specific (BMQ-S) scores at baseline and the end of the eight-week treatment. Additionally, we explored the relationship between inpatients’ medication beliefs and therapeutic effect of antidepressants. The inpatients were divided into remitted depression and unremitted depression groups according to outcomes at the end of the eight-week treatment. There was no significant difference in the baseline HAMD between the two groups (P > 0.050). The scores on the BMQ-S of the unremitted group were significantly lower than those of the remitted group (P < 0.001). The HAMD scores were significantly reduced in both groups after the eight-week treatment (P < 0.001). There was no significant difference in the BMQ-S scores before and after the treatment (P > 0.050). The medication beliefs of the unremitted inpatients after the treatment were still lower than those of the remitted inpatients (P < 0.001). Logistic-regression analysis showed that low BMQ-S scores at the baseline were an independent risk factor for antidepressant efficacy. Beliefs about medication at baseline may be correlated with the therapeutic efficacy in inpatients with first-diagnosed depression under supervised therapeutic compliance.

BEFRIENding for Depression, Anxiety and Social support in older adults living in Australian residential aged care facilities (BEFRIENDAS): randomised controlled trial protocol

BACKGROUND

This protocol describes an ongoing study of the impact of befriending on depression, anxiety and loneliness in older people living in residential aged care facilities in Australia. While systematic reviews of befriending have indicated positive benefits of befriending for people in a range of ages and settings, there have been no randomised controlled trials (RCTs) of befriending for older people living in residential aged care with depression and no studies of the cost effectiveness of befriending in residential aged care facilities (RACFs) in Australia.

METHODS AND ANALYSIS

We are conducting a single blind pragmatic RCT comparing two groups of older people living in RACFs, one receiving an intervention consisting of weekly befriending for 4 months from a trained volunteer and the other receiving treatment as usual. Participants undergo eligibility screening for depression (GDS-15 ≥ 4) and cognitive impairment (GPCog ≥ 4) and assessments at three measurement time points: baseline prior to randomisation, 2 months post-baseline and 4 months post-baseline. The primary outcome measure is depression, and secondary outcome measures are anxiety, loneliness, social isolation and quality of life. The economic evaluation will take the form of a cost-utility analysis based on the outcome of quality of life. The primary and secondary outcomes will be analysed using negative binomial and logistic regressions utilizing the Generalised Estimating Equations approach.

DISCUSSION

To our knowledge, this is the first RCT evaluating the effectiveness of befriending on older people with depression living in residential aged care. It is expected that the befriending intervention will reduce the severity of depression symptoms experienced by older people living in residential aged care. If the intervention proves effective it may be incorporated into volunteer training programs and adopted as a way of supporting older people's mental health.

TRIAL REGISTRATION

Trial registered with the Australian and New Zealand Clinical Trial Registry (ANZCTR) Number: ACTRN12619000676112 , registered 06/05/2019 - retrospectively registered.

Factors Associated with Antidepressant Medication Non-adherence

Medication non-adherence is one of the major problems in treating patients with depression. Non-adherence results in an increased risk of relapse and reduced quality of life. The objective of this review was to review and summarize studies that focused on the factors associated with antidepressant medication non-adherence in patients with depression. Literature searches were performed using PubMed/Medline and Google Scholar. The search was limited to articles published in the English language in peer-reviewed journals between January 2000 and December 2019. Studies that analyzed factors of non-compliance in patients with depressive disorders were included in the review. Patient-related factors such as forgetfulness, comorbidities, and misconceptions about the disease and medication, medication-related factors, polypharmacy, side effects, pill burden and cost, healthcare system-related factors, including physician-patient interactions, sociocultural factors such religious and cultural beliefs and stigma, and logistic factors were found to be the major factors associated with antidepressant non-adherence. Efforts should be made to increase patient adherence to antidepressants by strengthening physician-patient relationships, simplifying medication regimens, and rectifying myths and beliefs held by patients with scientific information and explanations.

Understanding barriers to prescription retrieval and attitudes toward mental health medications at a university student health services pharmacy

OBJECTIVES

To describe barriers affecting college students' ability to retrieve prescription medications for mental health conditions from a community pharmacy embedded within a student health center on a university campus and then describe beliefs and attitudes toward the use of those medications.

METHODS

We conducted a cross-sectional study of college students who were prescribed a medication(s) for a mental health condition(s) and left the medication(s) unclaimed at the pharmacy for at least 5 days. Eligible participants were identified through routine reminder telephone calls and then provided a link to an online survey via e-mail. The survey collected information on demographics, prescription retrieval barriers, and medication beliefs and attitudes using 2 validated questionnaires. Data were summarized using descriptive statistics and scoring methods specific to the validated questionnaires.

RESULTS

A total of 83 e-mails were distributed with 46 usable responses received (55.4% response rate). Participants were undergraduate students (n = 38, 82.6%) and most frequently prescribed a medication(s) for depression (n = 21, 45.7%) or anxiety (n = 16, 34.8%). Forgetting to pick up their medication was the most commonly cited reason for prescription nonretrieval (n = 32, 69.6%) followed by limited pharmacy hours (n = 21, 45.7%). Participants generally viewed the necessity of their medication(s) as outweighing their concerns about their medication(s), and they generally viewed themselves as medication adherent.

CONCLUSIONS

University students taking medications for mental health conditions identified forgetfulness and limited pharmacy hours as the most common reasons for not retrieving prescriptions. Students generally viewed their medication(s) as necessary and themselves as medication adherent, suggesting that attitudes and beliefs may play a smaller role in medication use behaviors in this population. Future research is needed to develop and evaluate interventions that improve medication adherence in college students, potentially focused on reminder-based interventions.

Behavioural activation therapy for depression in adults with non-communicable diseases

BACKGROUND

Depression is common in people with non-communicable diseases (NCDs) such as cardiovascular disease, diabetes, cancer, and chronic respiratory conditions. The co-existence of depression and NCDs may affect health behaviours, compliance with treatment, physiological factors, and quality of life. This in turn is associated with worse outcomes for both conditions. Behavioural activation is not currently indicated for the treatment of depression in this population in the UK, but is increasingly being used to treat depression in adults.

OBJECTIVES

To examine the effects of behavioural activation compared with any control group for the treatment of depression in adults with NCDs. To examine the effects of behavioural activation compared with each control group separately (no treatment, waiting list, other psychological therapy, pharmacological treatment, or any other type of treatment as usual) for the treatment of depression in adults with NCDs.

SEARCH METHODS

We searched CCMD-CTR, CENTRAL, Ovid MEDLINE, Embase, four other databases, and two trial registers on 4 October 2019 to identify randomised controlled trials (RCTs) of behavioural activation for depression in participants with NCDs, together with grey literature and reference checking. We applied no restrictions on date, language, or publication status to the searches.

SELECTION CRITERIA

We included RCTs of behavioural activation for the treatment of depression in adults with one of four NCDs: cardiovascular disease, diabetes, cancer, and chronic respiratory conditions. Only participants with a formal diagnosis of both depression and an NCD were eligible. Studies were included if behavioural activation was the main component of the intervention. We included studies with any comparator that was not behavioural activation, and regardless of reported outcomes.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane, including independent screening of titles/abstracts and full-text manuscripts, data extraction, and risk of bias assessments in duplicate. Where necessary, we contacted study authors for more information.

MAIN RESULTS

We included two studies, contributing data from 181 participants to the analyses. Both studies recruited participants from US hospital clinics; one included people who were recovering from a stroke and the other women with breast cancer. For both studies, the intervention consisted of eight weeks of face-to-face behavioural therapy, with one study comparing to poststroke treatment as usual and the other comparing to problem-solving therapy. Both studies were at risk of performance bias and potential conflict of interest arising from author involvement in the development of the intervention. For one study, risks of selection bias and reporting bias were unclear and the study was judged at high risk of attrition bias. Treatment efficacy (remission) was greater for behavioural activation than for comparators in the short term (risk ratio (RR) 1.53, 95% confidence interval (CI) 0.98 to 2.38; low-certainty evidence) and medium term (RR 1.76, 95% CI 1.01 to 3.08; moderate-certainty evidence), but these estimates lacked precision and effects were reduced in the long term (RR 1.42, 95% CI 0.91 to 2.23; moderate-certainty evidence). We found no evidence of a difference in treatment acceptability in the short term (RR 1.81, 95% CI 0.68 to 4.82) and medium term (RR 0.88, 95% CI 0.25 to 3.10) (low-certainty evidence). There was no evidence of a difference in depression symptoms between behavioural activation and comparators (short term: MD -1.15, 95% CI -2.71 to 0.41; low-certainty evidence). One study found no difference for quality of life (short term: MD 0.40, 95% CI -0.16 to 0.96; low-certainty evidence), functioning (short term: MD 2.70, 95% CI -6.99 to 12.39; low-certainty evidence), and anxiety symptoms (short term: MD -1.70, 95% CI -4.50 to 1.10; low-certainty evidence). Neither study reported data on adverse effects.

AUTHORS' CONCLUSIONS

Evidence from this review was not sufficient to draw conclusions on the efficacy and acceptability of behavioural activation for the treatment of depression in adults with NCDs. A future review may wish to include, or focus on, studies of people with subthreshold depression or depression symptoms without a formal diagnosis, as this may inform whether behavioural activation could be used to treat mild or undiagnosed (or both) depressive symptoms in people with NCDs. Evidence from low-resource settings including low- and middle-income countries, for which behavioural activation may offer a feasible alternative to other treatments for depression, would be of interest.

The association between side effects and adherence to antidepressants among primary care community-dwelling older adults

Aims: To evaluate the association between adherence to antidepressants and self-reported side effects while considering their tolerability among primary care community-dwelling older adults.Methods: This is a secondary analysis of data available for 137 individuals participating in the third wave of the Étude sur la Santé des Aînés - Services study (2015-2017) conducted among older adults aged 65 years and older. Adherence to antidepressants was assessed with the 4-item Medication Assessment Questionnaire. Side effects were also self-reported from a list of 20 potential side effects related to antidepressant use, while considering their tolerability (tolerable and non-tolerable) and were then grouped into seven categories specific to organ or function systems. Multilevel logistic regression analyses were carried out to assess the association between adherence and the presence of side effects accounting for participants nested within primary health clinics.Results: In this study, 69.3% of participants were adherent to their antidepressants and 30.7% were non-adherent. Participants reporting sleep disturbance (OR = 0.58, 95% CI = 0.47-0.72), gastrointestinal system (OR = 0.64, 95% CI = 0.45-0.92), and nervous system (OR = 0.60, 95% CI = 0.48-0.78) related side effects were less likely to be adherent to their antidepressants. Participants reporting palpitations were more likely to adhere to antidepressants (OR = 2.20, 95% CI = 1.03-4.67). With regards to severity, participants reporting non-tolerable nervous system related side effects were less likely to be adherent (OR = 0.37, 95% CI = 0.26-0.53) and those reporting non-tolerable gastrointestinal system related side effects reported higher adherence to antidepressants (OR = 1.82, 95% CI = 1.08-3.08).Conclusion: Adherence to antidepressants was associated with side effects, and more precisely with sleep disturbance, gastrointestinal and nervous systems side effects.

Behavioural activation therapy for depression in adults

BACKGROUND

Behavioural activation is a brief psychotherapeutic approach that seeks to change the way a person interacts with their environment. Behavioural activation is increasingly receiving attention as a potentially cost-effective intervention for depression, which may require less resources and may be easier to deliver and implement than other types of psychotherapy.

OBJECTIVES

To examine the effects of behavioural activation compared with other psychological therapies for depression in adults. To examine the effects of behavioural activation compared with medication for depression in adults. To examine the effects of behavioural activation compared with treatment as usual/waiting list/placebo no treatment for depression in adults.

SEARCH METHODS

We searched CCMD-CTR (all available years), CENTRAL (current issue), Ovid MEDLINE (1946 onwards), Ovid EMBASE (1980 onwards), and Ovid PsycINFO (1806 onwards) on the 17 January 2020 to identify randomised controlled trials (RCTs) of 'behavioural activation', or the main elements of behavioural activation for depression in participants with clinically diagnosed depression or subthreshold depression. We did not apply any restrictions on date, language or publication status to the searches. We searched international trials registries via the World Health Organization's trials portal (ICTRP) and ClinicalTrials.gov to identify unpublished or ongoing trials.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) of behavioural activation for the treatment of depression or symptoms of depression in adults aged 18 or over. We excluded RCTs conducted in inpatient settings and with trial participants selected because of a physical comorbidity. Studies were included regardless of reported outcomes.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened all titles/abstracts and full-text manuscripts for inclusion. Data extraction and 'Risk of bias' assessments were also performed by two review authors in duplicate. Where necessary, we contacted study authors for more information.

MAIN RESULTS

Fifty-three studies with 5495 participants were included; 51 parallel group RCTs and two cluster-RCTs. We found moderate-certainty evidence that behavioural activation had greater short-term efficacy than treatment as usual (risk ratio (RR) 1.40, 95% confidence interval (CI) 1.10 to 1.78; 7 RCTs, 1533 participants), although this difference was no longer evident in sensitivity analyses using a worst-case or intention-to-treat scenario. Compared with waiting list, behavioural activation may be more effective, but there were fewer data in this comparison and evidence was of low certainty (RR 2.14, 95% CI 0.90 to 5.09; 1 RCT, 26 participants). No evidence on treatment efficacy was available for behavioural activation versus placebo and behavioural activation versus no treatment. We found moderate-certainty evidence suggesting no evidence of a difference in short-term treatment efficacy between behavioural activation and CBT (RR 0.99, 95% CI 0.92 to 1.07; 5 RCTs, 601 participants). Fewer data were available for other comparators. No evidence of a difference in short term-efficacy was found between behavioural activation and third-wave CBT (RR 1.10, 95% CI 0.91 to 1.33; 2 RCTs, 98 participants; low certainty), and psychodynamic therapy (RR 1.21, 95% CI 0.74 to 1.99; 1 RCT,60 participants; very low certainty). Behavioural activation was more effective than humanistic therapy (RR 1.84, 95% CI 1.15 to 2.95; 2 RCTs, 46 participants; low certainty) and medication (RR 1.77, 95% CI 1.14 to 2.76; 1 RCT; 141 participants; moderate certainty), but both of these results were based on a small number of trials and participants. No evidence on treatment efficacy was available for comparisons between behavioural activation versus interpersonal, cognitive analytic, and integrative therapies. There was moderate-certainty evidence that behavioural activation might have lower treatment acceptability (based on dropout rate) than treatment as usual in the short term, although the data did not confirm a difference and results lacked precision (RR 1.64, 95% CI 0.81 to 3.31; 14 RCTs, 2518 participants). Moderate-certainty evidence did not suggest any difference in short-term acceptability between behavioural activation and waiting list (RR 1.17, 95% CI 0.70 to 1.93; 8 RCTs. 359 participants), no treatment (RR 0.97, 95% CI 0.45 to 2.09; 3 RCTs, 187 participants), medication (RR 0.52, 95% CI 0.23 to 1.16; 2 RCTs, 243 participants), or placebo (RR 0.72, 95% CI 0.31 to 1.67; 1 RCT; 96 participants; low-certainty evidence). No evidence on treatment acceptability was available comparing behavioural activation versus psychodynamic therapy. Low-certainty evidence did not show a difference in short-term treatment acceptability (dropout rate) between behavioural activation and CBT (RR 1.03, 95% CI 0.85 to 1.25; 12 RCTs, 1195 participants), third-wave CBT (RR 0.84, 95% CI 0.33 to 2.10; 3 RCTs, 147 participants); humanistic therapy (RR 1.06, 95% CI 0.20 to 5.55; 2 RCTs, 96 participants) (very low certainty), and interpersonal, cognitive analytic, and integrative therapy (RR 0.84, 95% CI 0.32 to 2.20; 4 RCTs, 123 participants). Results from medium- and long-term primary outcomes, secondary outcomes, subgroup analyses, and sensitivity analyses are summarised in the text.

AUTHORS' CONCLUSIONS

This systematic review suggests that behavioural activation may be more effective than humanistic therapy, medication, and treatment as usual, and that it may be no less effective than CBT, psychodynamic therapy, or being placed on a waiting list. However, our confidence in these findings is limited due to concerns about the certainty of the evidence. We found no evidence of a difference in short-term treatment acceptability (based on dropouts) between behavioural activation and most comparison groups (CBT, humanistic therapy, waiting list, placebo, medication, no treatment or treatment as usual). Again, our confidence in all these findings is limited due to concerns about the certainty of the evidence. No data were available about the efficacy of behaioural activation compared with placebo, or about treatment acceptability comparing behavioural activation and psychodynamic therapy, interpersonal, cognitive analytic and integrative therapies. The evidence could be strengthened by better reporting and better quality RCTs of behavioural activation and by assessing working mechanisms of behavioural activation.

Illness Beliefs, Treatment Beliefs and Information Needs as Starting Points for Patient Information: The Evaluation of an Intervention for Patients with Depression

Patients with depression are often dissatisfied with disease- and therapy-related information. The objective of this study was to evaluate an intervention that applied the Common Sense Model to the provision of information during inpatient rehabilitation for patients with depression. The intervention was evaluated in a sequential control group design. Analyses of covariance were used to assess differences between the control and intervention groups. Changes with respect to illness and treatment beliefs (personal control, treatment control, coherence and concerns about medicines), satisfaction with information about medicines, illness and rehabilitation, and depressive burden were selected as primary outcome measures. We observed significant between-group differences indicating the intervention group's superiority in terms of satisfaction with information regarding medicines. However, the two groups' changes during rehabilitation did not differ in terms of the other outcomes. The intervention resulted in patients judging that their medication information needs had been more thoroughly fulfilled than those patients who received care-as-usual information. However, the intervention did not prove to be effective when the other outcome variables are considered. Taken together and bearing in mind the limitations of our study-particularly the non-randomised design-our results should be replicated in a randomised controlled trial.

Assessing Cognitive Representations of Antidepressants: Development and Validation of the Attitudes Toward Medication–Depression Inventory

Antidepressant drugs represent the mainstay of treatment for depression; however, nonadherence is a major problem. Attitudes are predictors of long-term adherence and drive medication use. The Attitudes Toward Medication–Depression (ATM-D) Inventory was developed and tested with 131 patients in primary care settings who reported a diagnosis of depression. Content validity was assessed by experts with a 94.4% agreement on item relevancy. Exploratory factor analysis showed three factors (course of medication treatment, identity, and control) that accounted for 57% of the total variance in the final 17-item scale. The instrument demonstrated good internal consistency reliability (α = .76-.84) and test–retest reliability (α = .74-.83). Results support the construct validity and reliability of the instrument and revealed unique insights into patients’ cognitive representations of their antidepressants. This study supported that patients have cognitive representations related to depression and antidepressants that go beyond simple concerns about the effects of the medication.

Knowledge and Preferences Regarding Antidepressant Medication Among Depressed Latino Patients in Primary Care

US Latinos are less likely to utilize mental health services than non-Latino whites and to take antidepressant medications. This mixed-method study followed a subset (N = 28) of a research sample of depressed Latino immigrant primary care patients, who took depression medication, with a telephone interview to study their knowledge about and experiences with antidepressant medications. Most (82%) reported taking medication for 2 months or more, and 75% reported feeling better, whereas more than half reported side effects. Most (61%) agreed that antidepressants are generally safe and helpful in treating depression (68%); however, many believed they could be addictive (39%). Fifty percent of patients who discontinued their medication did not inform their providers. Twelve of the 28 patients also participated in focus groups about interactions with providers and made suggestions for conveying information about antidepressants. Patients suggested videos as a format to disseminate medication information because they do not require written comprehension. Other patient recommendations are presented.

Sensory Processing Disorders are Associated with Duration of Current Episode and Severity of Side Effects

OBJECTIVE

Longer duration of untreated illness, longer duration of current episode, and the severity of medication side effects may negatively impact on the perceived disability and psychosocial impairment of patients with major affective and anxiety disorders. Studies also suggested the involvement of sensory perception in emotional and psychopathological processes. The present study aimed to examine the relationship between Sensory Processing Disorders (SPD), duration of untreated illness and current illness episode, and the severity of side effects related to psychoactive medications.

METHODS

The sample included 178 participants with an age ranging from 17 to 85 years (mean=53.84±15.55). Participants were diagnosed with unipolar Major Depressive Disorder (MDD) (50%), Bipolar Disorder (BD) (33.7%), and Anxiety disorders (16.3%). They completed a socio-demographic questionnaire, the Udvalg for Kliniske Undersøgelser (UKU), and Adolescent/Adult Sensory Profile (AASP) questionnaire.

RESULTS

Longer duration of current episode correlated with greater registration of sensory input and lower avoidance from sensory input among unipolar patients; with lower registration of sensory input, and higher tendency for sensory sensitivity/avoidance among bipolar participants; with lower sensory sensitivity/avoidance among anxiety participants, respectively. Also, mean UKU total scores correlated with lower sensory sensitivity among bipolar individuals.

CONCLUSION

SPD expressed in either hypo/hyper sensitivity may serve to clinically characterize subjects with major affective and anxiety disorders.

Core Concepts Involving Adverse Psychotropic Drug Effects: Assessment, Implications, and Management

Adverse effects from psychiatric drugs can profoundly influence treatment adherence and outcomes. Good care involves addressing adverse effects no differently than any other component of treatment. Knowledge about adverse effect assessment and management fosters a proper context that helps clinicians not sacrifice a drug's potential therapeutic benefits because of greater concerns about its tolerability. This article provides an overview of basic concepts related to the assessment and management of suspected adverse effects from psychotropic drugs. Key points are discussed regarding clinical, pharmacogenetic, pharmacokinetic, and pharmacodynamic risk factors for treatment-emergent adverse effects, alongside recommendations for their systematic assessment.

The necessity-concerns framework predicts adherence to medication in multiple illness conditions: A meta-analysis

OBJECTIVE

This meta-analysis investigated whether beliefs in the necessity and concerns of medicine and the necessity-concerns differential are correlated with medication adherence on a population level and in different conditions.

METHODS

An electronic search of Web of Science, EMBASE, PubMed and CINAHL was conducted for manuscripts utilising the Beliefs about Medicines Questionnaire and comparing it to any measure of medication adherence. Studies were pooled using the random-effects model to produce a mean overall effect size correlation. Studies were stratified for condition, adherence measure, power and study design.

RESULTS

Ninety-four papers were included in the meta-analysis. The overall effect size(r) for necessity, concerns, and necessity-concerns differential was 0.17, -0.18 and 0.24 respectively and these were all significant (p<0.0001). Effect size for necessity was stronger in asthma and weaker in the cardiovascular group compared to the overall effect size.

CONCLUSION

Necessity and concerns beliefs and the necessity-concerns differential were correlated with medication adherence on a population level and across the majority of included conditions. The effect sizes were mostly small with a magnitude comparable to other predictors of adherence.

PRACTICE IMPLICATIONS

This meta-analysis suggests that necessity and concern beliefs about medicines are one important factor to consider when understanding reasons for non-adherence.

Beliefs about antidepressant medication and associated adherence among older Chinese patients with major depression: A cross-sectional survey

Antidepressant non-adherence among people with depressive disorder is a major, ongoing public health issue, yet few studies have focused on older adults and their medication adherence. Although treatment adherence is determined by multiple factors, one of the important and modifiable predictors are patients' attitudes and beliefs about medication. We explored a sample of 135 older Chinese people with major depression, and the relationship between beliefs about antidepressants and medication adherence. Sociodemographic and illness variables were also examined. In all, high antidepressant adherence was reported in 37.8%, moderate adherence in 39.2%, and low adherence in 23%. Ordinal regression analysis showed perceived necessity (P < 0.01) and concern (P < 0.01) about antidepressants were significant influencing factors. Other variables with a positive association with higher adherence were lower average income (P < 0.05), fewer number of prior episodes of depression (P < 0.01), and comorbid anxiety (P < 0.05). The present study highlights low adherence in a sample of older depressed Chinese people, and highlights how beliefs about medication affect adherence. Therefore, more attention should be focused on non-adherence in older patients, and there is a need to establish accessible and systematic education programmes to correct misconceptions to improve their adherence.

Beliefs about antidepressants among persons aged 70 years and older in treatment after a suicide attempt

BACKGROUND

The use of antidepressants is associated with decreased suicide risk in late life, and these drugs are often prescribed after a suicide attempt. Yet little is known about attitudes to antidepressants in older persons with suicidal behavior. The aim of this study was to assess beliefs about antidepressant medicines in older persons in treatment one year after a suicide attempt.

METHODS

Forty-four individuals aged 70 years and older, who were treated in emergency wards at five hospitals in western Sweden in connection with a suicide attempt, were interviewed at index attempt and one year later. Beliefs about medicines questionnaire (BMQ) specific for antidepressants were analyzed one year after index attempt, in relation to sociodemographic variables, medication use, psychiatric evaluation, and personality traits.

RESULTS

The majority of participants perceived the necessity of their antidepressant medicine to outweigh their concerns. Lower perceived necessity of antidepressants was observed in those who were not on antidepressants at the time of the attempt as well as those with no prior history of suicide attempt before the index attempt. Individuals reporting hopelessness at follow-up had a higher perceived concern about using medication.

CONCLUSIONS

Beliefs about antidepressants tended to be more positive than negative in older persons taking these drugs in the aftermath of a suicide attempt. Further studies are called for, and should include objective measures of medication adherence.

[Attitudes towards anti-depressive therapy: acceptance vs. stigmatization]

OBJECTIVE

The current study investigates the attitude towards antidepressant treatment among general public.

METHODS

A total of 234 probands (139 women and 95 men) were asked to complete individually provided questionnaires examining socio-demographic data, psychoeducational levels, as well as personal beliefs concerning antidepressant treatment and levels of present stigmatisation. Three scales were used to quantify stigmatisation levels-"Revised Perceived Devaluation Discrimination Scale"/"Revised Internalized Stigma of Mental Illness Scale"/"Attitudes Toward Mental Health Treatment Scale", "Revised Perceived Devaluation Discrimination Scale".

RESULTS

65 people (27.8 %) reported to have had one or more episodes of depression during their lifetime; 169 people (72.2 %) indicated to have never had any episode of that type before. The words "sickness" and "anxiety" were the terms primarily associated with the word "depression". It was a common belief among interviewees that lonely individuals or those not receiving social support have a higher risk of becoming depressed. We further found that people experience higher levels of internalized stigma when talking about their antidepressant drug-therapy, than the level of perceived stigma would suggest. Opposed to those not indicating depression depressed people indicated that they considered the use of antidepressant medication helpful and a good option, if necessary. Stigma can still be found among those not indicating depression as well as among those with symptoms of depression. Based on the current study we conclude that work in the field of destigmatisation is of great importance.

Factors predicting adherence to antidepressant treatment

PURPOSE OF REVIEW

Poor adherence and discontinuation of treatment are the major challenges of pharmacotherapy among patients with depression. This article reviews the factors predicting adherence to and persistence of antidepressant treatment identified in recent years.

RECENT FINDINGS

Study populations have been extended to subgroups of patients with depression or depressive patients with comorbid medical conditions. Some studies have investigated the issues by analysing medical claims databases. Socio-demographic variables, clinical features of depression, comorbidities, pharmacological factors, attitudes towards antidepressants, previous experiences of antidepressant treatment, patient-professional relationship and genes were found to be common factors. An older age, positive attitudes to antidepressants and previous experiences and vicarious experiences of depression or treatment were found to be factors predicting better adherence or persistence. Conversely, patients in minority groups, those with a low family income, pregnancy, experience of side effects, dissatisfaction with treatment and a poor patient-professional relationship were found to be associated with poorer adherence or persistence.

SUMMARY

The factors predicting adherence and persistence are complex and interactive. Different methods of studies have limitations in terms of exploring all these factors. Future studies should integrate these factors simultaneously and explore specific factors predicting adherence and persistence among subgroups of patients with depression.

Beliefs About Medicines and Self-reported Adherence Among Patients with Chronic Illness: A Study in Palestine

BACKGROUND

Identifying factors associated with adherence is of great value in clinical practice. The objective of this study was to investigate medication adherence, beliefs about medicines held by people with chronic illness and whether beliefs influence medication adherence.

METHODS

The study was carried out at primary health care clinic of the Palestinian Medical Military Services in Nablus, Palestine. The beliefs about medicines questionnaire was used to assess beliefs and Morisky medication adherence scale was used to assess adherence.

RESULTS

A total of 187 patients were interviewed. Most participants (79.6%) agreed or strongly agreed that their medications were necessary for their current health. However, 58.2% of the participants were concerned about having to take their medicines on a regular basis and 57.8% were concerned about becoming dependent on their medicines. None of the demographic and clinical variables was significantly associated with medication adherence. However, multivariate analysis showed that patients who had higher beliefs about medication necessity had higher odds (1.107 [1.023-1.197]) of being adherent. On the other hand, patients who had higher concern beliefs had lower odds (0.908 [0.845-0.975]) of being adherent.

CONCLUSIONS

Beliefs about medicines are a major contributing factor to medication adherence.

What are validated self-report adherence scales really measuring?: a systematic review

AIMS

Medication non-adherence is a significant health problem. There are numerous methods for measuring adherence, but no single method performs well on all criteria. The purpose of this systematic review is to (i) identify self-report medication adherence scales that have been correlated with comparison measures of medication-taking behaviour, (ii) assess how these scales measure adherence and (iii) explore how these adherence scales have been validated.

METHODS

Cinahl and PubMed databases were used to search articles written in English on the development or validation of medication adherence scales dating to August 2012. The search terms used were medication adherence, medication non-adherence, medication compliance and names of each scale. Data such as barriers identified and validation comparison measures were extracted and compared.

RESULTS

Sixty articles were included in the review, which consisted of 43 adherence scales. Adherence scales include items that either elicit information regarding the patient's medication-taking behaviour and/or attempts to identify barriers to good medication-taking behaviour or beliefs associated with adherence. The validation strategies employed depended on whether the focus of the scale was to measure medication-taking behaviour or identify barriers or beliefs.

CONCLUSIONS

Supporting patients to be adherent requires information on their medication-taking behaviour, barriers to adherence and beliefs about medicines. Adherence scales have the potential to explore these aspects of adherence, but currently there has been a greater focus on measuring medication-taking behaviour. Selecting the 'right' adherence scale(s) requires consideration of what needs to be measured and how (and in whom) the scale has been validated.

Influence of patients' disease knowledge and beliefs about medicines on medication adherence: findings from a cross-sectional survey among patients with type 2 diabetes mellitus in Palestine

BACKGROUND

Diabetes mellitus (DM) is a common serious health problem. Medication adherence is a key determinant of therapeutic success in patients with diabetes mellitus. The purpose of this study was to assess medication adherence and its potential association with beliefs and diabetes - related knowledge in patients with type II DM.

METHODS

This study was carried out at Al-Makhfia governmental diabetes primary healthcare clinic in Nablus, Palestine. Main outcome of interest in the study was medication adherence. The Beliefs about Medicines Questionnaire (BMQ) was used to assess beliefs. Morisky Medication Adherence Scale (MMSA-8©) was used to assess medication adherence. The Michigan diabetes knowledge test (MDKT) was used to assess diabetes - related knowledge. Univariate and multivariate analysis were carried out using Statistical Package for Social Sciences (SPSS 20).

RESULTS

Four hundred and five patients were interviewed. The mean ± SD age of the participants was 58.3 ± 10.4 (range = 28 - 90) years. More than half (53.3%) of the participants were females. Approximately 42.7% of the study sample were considered non-adherent (MMAS-8© score of < 6). Multivariate analysis showed that the following variables were significantly associated with non-adherence: disease-related knowledge, beliefs about necessity of anti-diabetic medications, concerns about adverse consequences of anti-diabetic medications and beliefs that medicines in general are essentially harmful. Diabetic patients with high knowledge score and those with strong beliefs in the necessity of their anti-diabetic medications were less likely to be non-adherent ([O.R = 0.87, 95% CI of 0.78 - 0.97] and [O.R = 0.93, 95% of 0.88 - 0.99] respectively). However, diabetic patients with high concerns about adverse consequences of anti-diabetic medications and those with high belief that all medicines are harmful were more likely to be non-adherent ([O.R = 1.09; 95% C.I of 1.04 - 1.16] and [O.R = 1.09, 95% C.I of 1.02 - 1.16] respectively).

CONCLUSIONS

Beliefs and knowledge are important factors in understanding variations in medication adherence among diabetic patients. The BMQ can be used as a tool to identify people at higher risk of non-adherence. Improving knowledge of patients about their illness might positively influence their medication adherence.

Understanding patients' adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the Necessity-Concerns Framework

BACKGROUND

Patients' beliefs about treatment influence treatment engagement and adherence. The Necessity-Concerns Framework postulates that adherence is influenced by implicit judgements of personal need for the treatment (necessity beliefs) and concerns about the potential adverse consequences of taking it.

OBJECTIVE

To assess the utility of the NCF in explaining nonadherence to prescribed medicines.

DATA SOURCES

We searched EMBASE, Medline, PsycInfo, CDSR/DARE/CCT and CINAHL from January 1999 to April 2013 and handsearched reference sections from relevant articles.

STUDY ELIGIBILITY CRITERIA

Studies using the Beliefs about Medicines Questionnaire (BMQ) to examine perceptions of personal necessity for medication and concerns about potential adverse effects, in relation to a measure of adherence to medication.

PARTICIPANTS

Patients with long-term conditions.

STUDY APPRAISAL AND SYNTHESIS METHODS

Systematic review and meta-analysis of methodological quality was assessed by two independent reviewers. We pooled odds ratios for adherence using random effects models.

RESULTS

We identified 3777 studies, of which 94 (N = 25,072) fulfilled the inclusion criteria. Across studies, higher adherence was associated with stronger perceptions of necessity of treatment, OR = 1.742, 95% CI [1.569, 1.934], p<0.0001, and fewer Concerns about treatment, OR = 0.504, 95% CI: [0.450, 0.564], p<0.0001. These relationships remained significant when data were stratified by study size, the country in which the research was conducted and the type of adherence measure used.

LIMITATIONS

Few prospective longitudinal studies using objective adherence measures were identified.

CONCLUSIONS

The Necessity-Concerns Framework is a useful conceptual model for understanding patients' perspectives on prescribed medicines. Taking account of patients' necessity beliefs and concerns could enhance the quality of prescribing by helping clinicians to engage patients in treatment decisions and support optimal adherence to appropriate prescriptions.

Why do patients discontinue antidepressant therapy early? A qualitative study

BACKGROUND

Current guidelines for antidepressant prescribing are that treatment should be continued following the resolution of symptoms: six months after a first episode and for at least two years for those with previous episodes. Despite this, sub-optimal treatment duration still predominates. Patients have negative and positive views on antidepressants, which change throughout their treatment journey.

OBJECTIVES

To explore views and experiences of patients recently initiated on antidepressants (within six months), and to consider the influences on early discontinuation.

METHODS

A qualitative interview study was used in four general practices in the North East of Scotland. A purposive sample of primary care patients, newly initiated on antidepressants, was interviewed to explore views and experiences with antidepressant therapy. Interviews were audio-recorded and transcribed verbatim. Thematic analysis was conducted using a consensus coding frame developed by two researchers.

RESULTS

Twenty-nine patients participated. Three main factors influencing discontinuation were identified: ownership, knowledge and support. The treatment journey was characterized by four important time points where health care intervention may be helpful.

CONCLUSION

Health care professionals would benefit from exploring patient knowledge and views on depression and antidepressants at an early stage in treatment. Patients would welcome active involvement in treatment decision making, the provision of information and ongoing support.

Risk factors for non-adherence to antidepressant treatment in patients with mood disorders

PURPOSE

Adherence to antidepressant therapy by patients with depressive disorders is essential not only to achieve a positive patient outcome but also to prevent a relapse. The aim of this study was to identify potential modelling factors influencing adherence to antidepressant treatment by patients with mood disorders in the community mental health care setting

METHODS

A total of 160 consecutive psychiatric outpatients attending two Community Mental Health Centres on Tenerife Island between September 2011 and May 2012 were asked to participate in the study; of these, 145 accepted. The Morisky self-report scale was used to assess adherence. The potential predictors examined included socio-demographic, clinical and therapeutic variables. The Clinical Global Impression-Severity and -Improvement scales and the Beck Depression Inventory were used for clinical assessment. Drug treatment side-effects were assessed using the "Self-report Antidepressant Side-Effect Checklist." All participants were also asked to complete the "Drug Attitude Inventory" (DAI), "Beliefs about Medicine Questionnaire" (BMQ), and "Leeds Attitude towards concordance Scale". Discriminant analyses were performed to predict non-adherence.

RESULTS

There was no clear correlation between adherence and the socio-demographic variables examined, but adherence was related to a positive attitude of the patients towards his/her treatment (DAI) and low scores in the BMQ-Harm and -Concern subscales. Non-adherence was also related to an increasing severity of depression and to the presence and severity of side-effects.

CONCLUSIONS

Among our study cohort, the profiles of adherent patients to antidepressant treatment were more closely associated with each patient's attitudes and beliefs than to objective socio-demographic variables. The severity of depression played a relevant role in adherence, but whether this role is direct or an interaction with several concurrent factors is not yet clear. Side-effects were also closely related to adherence, as conditioned by frequent polypharmacy.

What are validated self-report adherence scales really measuring?: a systematic review

AIMS

Medication non-adherence is a significant health problem. There are numerous methods for measuring adherence, but no single method performs well on all criteria. The purpose of this systematic review is to (i) identify self-report medication adherence scales that have been correlated with comparison measures of medication-taking behaviour, (ii) assess how these scales measure adherence and (iii) explore how these adherence scales have been validated.

METHODS

Cinahl and PubMed databases were used to search articles written in English on the development or validation of medication adherence scales dating to August 2012. The search terms used were medication adherence, medication non-adherence, medication compliance and names of each scale. Data such as barriers identified and validation comparison measures were extracted and compared.

RESULTS

Sixty articles were included in the review, which consisted of 43 adherence scales. Adherence scales include items that either elicit information regarding the patient's medication-taking behaviour and/or attempts to identify barriers to good medication-taking behaviour or beliefs associated with adherence. The validation strategies employed depended on whether the focus of the scale was to measure medication-taking behaviour or identify barriers or beliefs.

CONCLUSIONS

Supporting patients to be adherent requires information on their medication-taking behaviour, barriers to adherence and beliefs about medicines. Adherence scales have the potential to explore these aspects of adherence, but currently there has been a greater focus on measuring medication-taking behaviour. Selecting the 'right' adherence scale(s) requires consideration of what needs to be measured and how (and in whom) the scale has been validated.

Beliefs about depression and its treatments: associated variables and the influence of beliefs on adherence to treatment

Beliefs and attitudes about treatment in patients with depression are significant factors related to treatment adherence. Despite their importance, few studies have evaluated the determining factors of these beliefs, and the positive or negative attitudes towards treatment. This review looks at areas such as, adherence to antidepressants and psychotherapy, influence of beliefs and attitudes on adherence to treatment, beliefs and attitudes about depression and its treatment, their assessment, variables associated with these beliefs, and limitations of available studies. Acknowledging the importance of patient beliefs about depression and treatment, and their assessment are essential to optimize the chances of success of therapy by identifying and addressing misconceptions, prejudices and negative attitudes, as well as the consideration of these aspects in order to improve treatment choice.

Older adults with severe, treatment-resistant depression

Depression is a common, disabling, and costly condition encountered in older patients. Effective strategies for detection and treatment of late-life depression are summarized based on a case of a 69-year-old woman who struggled with prolonged depression. Clinicians should screen older patients for depression using a standard rating scale, initiate treatment such as antidepressant medications or evidence-based psychotherapy, and monitor depression symptoms. Patients who are not improving should be considered for psychiatric consultation and treatment changes including electroconvulsive therapy. Several changes in treatment approaches are usually needed before patients achieve complete remission. Maintenance treatment and relapse-prevention planning (summarization of early warning signs for depression, maintenance treatments such as medications, and other strategies to reduce the risk of relapse [eg, regular physical activity or pleasant activities]) can reduce the risk of relapse. Collaborative programs, in which primary care clinicians work closely with mental health specialists following a measurement-based treatment-to-target approach, are significantly more effective than typical primary care treatment.