Dataset Information

Predictors of Pharmacy-Based Measurement and Self-Report of Antidepressant Adherence: Are Individuals Overestimating Adherence?

ABSTRACT: This study considered various factors as predictors of antidepressant adherence over time as assessed by self-report and medication possession ratios (MPRs) derived from administrative pharmacy data.Adherence was assessed at six and 12 months among 443 veterans in ongoing treatment for depression in a trial of peer support. Logistic regression models were utilized to consider predictors of adequate adherence.At six and 12 months, respectively, 36% and 35% of patients had poor adherence on the basis of MPRs and 24% and 18% had poor adherence on the basis of self-report. MPRs indicating poor adherence were more likely among men, members of racial groups other than white, and patients with Hispanic ethnicity. Poor self-reported adherence was associated with increased depressive symptoms and unemployment.These adherence measures may be complementary. Strategies to improve adherence might target specific demographic groups, unemployed persons, and persons with higher levels of depressive symptoms.

SUBMITTER: Leggett A

PROVIDER: S-EPMC5796766 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predictors of Pharmacy-Based Measurement and Self-Report of Antidepressant Adherence: Are Individuals Overestimating Adherence?

Leggett Amanda A Ganoczy Dara D Zivin Kara K Valenstein Marcia M

Psychiatric services (Washington, D.C.) 20160214 7

<h4>Objective</h4>This study considered various factors as predictors of antidepressant adherence over time as assessed by self-report and medication possession ratios (MPRs) derived from administrative pharmacy data.<h4>Methods</h4>Adherence was assessed at six and 12 months among 443 veterans in ongoing treatment for depression in a trial of peer support. Logistic regression models were utilized to consider predictors of adequate adherence.<h4>Results</h4>At six and 12 months, respectively, 36 ...[more]

PMID: 26876656

Similar Datasets

Project description:BACKGROUND:Blended face-to-face and Web-based treatment is a promising way to deliver cognitive behavioral therapy. Since adherence has been shown to be a measure for treatment's acceptability and a determinant for treatment's effectiveness, in this study, we explored adherence to a new blended smoking cessation treatment (BSCT). OBJECTIVE:The objective of our study was to (1) develop an adequate method to measure adherence to BSCT; (2) define an adequate degree of adherence to be used as a threshold for being adherent; (3) estimate adherence to BSCT; and (4) explore the possible predictors of adherence to BSCT. METHODS:The data of patients (N=75) were analyzed to trace adherence to BSCT delivered at an outpatient smoking cessation clinic. In total, 18 patient activities (eg, using a Web-based smoking diary tool or responding to counselors' messages) were selected to measure adherence; the degree of adherence per patient was compared with quitting success. The minimum degree of adherence of patients who reported abstinence was examined to define a threshold for the detection of adherent patients. The number of adherent patients was calculated for each of the 18 selected activities; the degree of adherence over the course of the treatment was displayed; and the number of patients who were adherent was analyzed. The relationship between adherence and 33 person-, smoking-, and health-related characteristics was examined. RESULTS:The method for measuring adherence was found to be adequate as adherence to BSCT correlated with self-reported abstinence (P=.03). Patients reporting abstinence adhered to at least 61% of BSCT. Adherence declined over the course of the treatment; the percentage of adherent patients per treatment activity ranged from 82% at the start of the treatment to 11%-19% at the final-third of BSCT; applying a 61% threshold, 18% of the patients were classified as adherent. Marital status and social modeling were the best independent predictors of adherence. Patients having a partner had 11-times higher odds of being adherent (OR [odds ratio]=11.3; CI: 1.33-98.99; P=.03). For social modeling, graded from 0 (=partner and friends are not smoking) to 8 (=both partner and nearly all friends are smoking), each unit increase was associated with 28% lower odds of being adherent (OR=0.72; CI: 0.55-0.94; P=.02). CONCLUSIONS:The current study is the first to explore adherence to a blended face-to-face and Web-based treatment (BSCT) based on a substantial group of patients. It revealed a rather low adherence rate to BSCT. The method for measuring adherence to BSCT could be considered adequate because the expected dose-response relationship between adherence and quitting could be verified. Furthermore, this study revealed that marital status and social modeling were independent predictors of adherence. TRIAL REGISTRATION:Netherlands Trial Registry NTR5113; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5113 (Archived by WebCite at http://www.webcitation.org/71BAPwER8).

Project description:BackgroundAdherence to antihypertensive drugs in patients with diabetes is important. To support adherence, attention should be paid to the dynamic process of implementation, persistence and reinitiation of these drugs. We assessed non-adherence, non-persistence and reinitiation patterns for antihypertensive drugs in patients on oral diabetes drugs and identified pharmacy-based predictors of these processes.MethodsWe conducted a cohort study in patients on oral diabetes drugs who initiated antihypertensive drugs between 1995-2015, as registered in the IADB.nl pharmacy database. Non-adherence was defined as a medication possession ratio < 80% and non-persistence as a gap > 180 days. We defined reinitiation as the dispensing of an antihypertensive drug within one year following discontinuation. We provide descriptive statistics for different time periods and applied logistic and Cox regressions to assess associations with sociodemographic and drug-related factors.ResultsOf 6,669 initiators, non-adherence rates in persistent patients decreased from 11.0% in the first year to 8.5% and 7.7% in the second and third years, respectively. Non-persistence rates decreased from 18.0% in the first year to 3.7% and 2.9% in the second and third years, respectively. Of the 1,201 patients who discontinued in the first year, 22.0% reinitiated treatment within one year. Non-adherence and non-persistence rates were lower in the more recent time period. Predictors of non-adherence were secondary prevention (OR: 1.45; 95% CI: 1.10-1.93) and diuretics as initial drug class (OR: 1.37; 95% CI: 1.08-1.74). Predictors of non-persistence were female gender (HR: 1.18; 95% CI: 1.05-1.32), older age (HR: 1.33; 95% CI: 1.08-1.63) and diuretics, beta-blocking agents or calcium channel blockers as initial drug class. Longer duration of persistence was a predictor of reinitiation.ConclusionsAdherence to antihypertensive drugs in patients on oral diabetes drugs has improved over time. The first year after initiation is the most crucial with regard to non-adherence and non-persistence, and the risk groups are different for both processes. Early non-persistence is a risk factor for not reinitiating treatment.

Project description:Sleep-wake disturbance (SWD) results from sport-related concussion (SRC) and may increase risk of protracted post-injury symptoms. However, methodological limitations in the extant literature limit our understanding of the role of SWD in SRC. This study examined the association between acute/subacute SRC and two sleep behaviors-sleep duration and efficiency-as measured by self-report and commercially available actigraphy (CA) in a sample of football players enrolled in a larger prospective longitudinal study of concussion. Fifty-seven high school and Division 3 male football players with SRC (mean [M] age = 18.00 years, standard deviation [SD] = 1.44) and 26 male teammate controls (M age = 18.54 years, SD = 2.21) were enrolled in this prospective pilot study. Sleep duration and sleep efficiency were recorded nightly for 2 weeks (starting 24-48 h post-injury in the SRC group) via CA and survey delivered via mobile application. There was no significant relationship between SRC and objectively recorded sleep measures, a null finding. However, the SRC group reported a brief (3-day) reduction in sleep efficiency after injury (M SRC = 82.18, SD = 12.24; M control = 89.2, SD = 4.25; p = 0.013; Cohen's d = 0.77), with no change in sleep duration. Self-reported and actigraph-assessed hours of sleep were weakly and insignificantly correlated in the SRC group (r = -0.21, p = 0.145), whereas they were robustly correlated in the non-injured control group (r = 0.65, p = 0.004). SWD post-SRC was not observed in objectively measured sleep duration or sleep efficiency and was modest and time-limited based on self-reported sleep efficiency. The weak correlation between self-reported and objective sleep behavior measures implies that subjective experience of SWD post-SRC may be due to factors other than actual changes in these observable sleep behaviors. Clinically, SWD in the early-subacute stages of recovery from SRC may not be adequately measurable via current CA. Subjective SWD may require alternative methods of evaluation (e.g., clinical actigraph or sleep study).

Dataset Information

Predictors of Pharmacy-Based Measurement and Self-Report of Antidepressant Adherence: Are Individuals Overestimating Adherence?

Publications

Predictors of Pharmacy-Based Measurement and Self-Report of Antidepressant Adherence: Are Individuals Overestimating Adherence?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets