Dataset Information

Medication Adherence Improvement By Using Administration Timing Simplification Protocol (ATSP) in Cardiovascular Disease Patients.

ABSTRACT: In chronic diseases, keeping adherence to medication is very difficult. The objective of this study was to evaluate the impact of administration timing simplification protocol (ATSP) on medication adherence and clinical parameters of cardiovascular diseases.210 out-patients with cardiovascular disease, who were taking two or more pills of any type of medication per day for more than one year, were enrolled and randomized. The intervention group followed the simplified administration schedule of ATSP with two main strategies: 1) moving medication from "pc" (30 minute after meal) to "stat. pc" (immediately after meal); and 2) moving medication time from "at evening" to "at morning." In contrast, the control group maintained the same medication schedule. Both patient groups were equally educated about the names and effects of the medication.The intervention group had more pills than the control group with marginal statistical significance (5.1±2.3 vs 4.6±1.8, p=0.05). The total frequency of administration was significantly higher in the intervention group than that of the control group (2.9±1.0 vs 2.6±0.9, p=0.03) at the baseline. In the intervention group, the frequency was significantly decreased to 1.5±0.6 times per day after following ATSP application (p＜0.01). In both patient groups, knowledge about the medication was significantly improved by education. However, medication adherence was only improved in the intervention group. Interestingly, total cholesterol was significantly decreased in the intervention group (p＜0.01). The decrease in serum cholesterol concentration was significantly correlated with the improvement in medication adherence evaluated with Morisky Medication Adherence Scale (MMAS)-8 items (r=0.507, p＜0.01).ATSP was shown to be an effective strategy to improve medication adherence in chronic cardiovascular disease patients.

SUBMITTER: Jung SH

PROVIDER: S-EPMC5556191 | biostudies-other | 2017 Aug

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Medication nonadherence is a known risk factor for adverse outcomes in the general population. However, little is known about the association of predialysis medication adherence among patients with advanced chronic kidney disease and mortality following their transition to dialysis.Observational study.32,348 US veterans who transitioned to dialysis during 2007 to 2011.Adherence to treatment with cardiovascular drugs, ascertained from pharmacy database records using proportion of days covered (PDC) and persistence during the predialysis year.Post-dialysis therapy initiation all-cause and cardiovascular mortality, using Cox models with adjustment for confounders.Mean age of the cohort was 72±11 (SD) years; 96% were men, 74% were white, 23% were African American, and 69% had diabetes. During a median follow-up of 23 (IQR, 9-36) months, 18,608 patients died. Among patients with PDC>80%, there were 14,006 deaths (mortality rate, 283 [95% CI, 278-288]/1,000 patient-years]); among patients with PDC>60% to 80%, there were 3,882 deaths (mortality rate, 294 [95% CI, 285-304]/1,000 patient-years); among patients with PDC?60%, there were 720 deaths (mortality rate, 291 [95% CI, 271-313]/1,000 patient-years). Compared with patients with PDC>80%, the adjusted HR for post-dialysis therapy initiation all-cause mortality for patients with PDC>60% to 80% was 1.12 (95% CI, 1.08-1.16), and for patients with PDC?60% was 1.21 (95% CI, 1.11-1.30). In addition, compared with patients showing medication persistence, adjusted HR risk for post-dialysis therapy initiation all-cause mortality for patients with nonpersistence was 1.11 (95% CI, 1.05-1.16). A similar trend was detected for cardiovascular mortality and in subgroup analyses.Large number of missing values; results may not be generalizable to women or the general US population.Predialysis cardiovascular medication nonadherence is an independent risk factor for postdialysis mortality in patients with advanced chronic kidney disease transitioning to dialysis therapy. Further studies are needed to assess whether interventions targeting adherence improve survival after dialysis therapy initiation.

Project description:BackgroundPoor prescribing and incomplete medication administration have been linked to increased lengths of hospitalization for patients with Parkinson disease. The Institute for Safe Medication Practices (ISMP) has recommended that patients with Parkinson disease receive a pharmacy consultation within 2 h of admission to hospital.ObjectivesTo examine whether the time for a pharmacy team member to obtain a best possible medication history (BPMH) was associated with administration-related medication errors. The primary outcome was the proportion of doses with a medication error during a patient's admission in relation to the time to completion of the initial BPMH by a registered pharmacist (RPh) or registered pharmacy technician (RPhT). The secondary objective was to compare the proportion of doses with a medication error in relation to whether the BPMH was completed by an RPh or an RPhT.MethodsThis retrospective chart review involved patients with Parkinson disease who were admitted to the medicine services at London Health Sciences Centre from September 30, 2014, to September 30, 2018. Patients were included if they had Parkinson disease and a medication regimen that included levodopa-carbidopa. For all patients, an RPhT or RPh conducted the initial BPMH or updated the BPMH. Pearson correlation analysis was used to determine whether a correlation existed between administration-related errors and completion of the BPMH by a pharmacy staff member.ResultsA total of 84 patients with 104 admissions were included. There was no significant correlation between the time to completion of the initial BPMH by a pharmacy team member and the proportion of doses with medication errors (p = 0.32). Although RPhTs completed the BPMHs more quickly than RPhs (p < 0.001), there was no significant difference between pharmacy team members in terms of the proportion of doses with medication errors (p = 0.86).ConclusionsCompleting a BPMH within 2 h of a patient's admission, as per the ISMP recommendation, is unlikely to affect administration-related medication errors, given that no correlation was identified. Expediting BPMH without addressing other factors is insufficient, and initiatives are required to improve the medication administration process.

Project description:INTRODUCTION:The growing number of smartphone health applications available in the app stores makes these apps a promising tool to help reduce the global problem of non-adherence to long-term medications. However, to date, there is limited evidence that available medication reminder apps are effective. This study aims to determine the impact of medication reminder apps on adherence to cardiovascular medication when compared with usual care for people with coronary heart disease (CHD) and to determine whether an advanced app compared with a basic app is associated with higher adherence. METHODS AND ANALYSIS:Randomised controlled trial with follow-up at 3 months to evaluate the feasibility and effectiveness of medication reminder apps on medication adherence compared with usual care. An estimated sample size of 156 patients with CHD will be randomised to one of three groups (usual care group, basic medication reminder app group and advanced medication reminder app group). The usual care group will receive standard care for CHD with no access to a medication reminder app. The basic medication reminder app group will have access to a medication reminder app with a basic feature of providing simple daily reminders with no interactivity. The advanced medication reminder app group will have access to a medication reminder app with additional interactive and customisable features. The primary outcome is medication adherence measured by the eight-item Morisky Medication Adherence Scale at 3 months. Secondary outcomes include clinical measurements of blood pressure and cholesterol levels, and medication knowledge. A process evaluation will also be performed to assess the feasibility of the intervention by evaluating the acceptability, utility and engagement with the apps. ETHICS AND DISSEMINATION:Ethical approval has been obtained from the Western Sydney Local Health Network Human Research Ethics Committee (AU/RED/HREC/1/WMEAD/3). Study findings will be disseminated via usual scientific forums. TRIAL REGISTRATION NUMBER:ACTRN12616000661471; Pre-results.

Project description:BackgroundSuboptimal patient adherence to pharmacological therapy of type 2 diabetes may be due in part to pill burden. One way to reduce pill burden in patients who need multiple medications is to use fixed-dose combinations. Our study aimed to compare the effects of fixed-dose combination versus loose-dose combination therapy on medication adherence and persistence, health care utilization, therapeutic safety, morbidities, and treatment modification in patients with type 2 diabetes over three years.MethodsUsing administrative data, we conducted a retrospective controlled cohort study comparing type 2 diabetes patients who switched from monotherapy to either a fixed-dose combination or a loose-dose combination. Adherence was assessed as the primary endpoint and calculated as the proportion of days covered with medication. After using entropy balancing to eliminate differences in observable baseline characteristics between the two groups, we applied difference-in-difference estimators for each outcome to account for time-invariant unobservable heterogeneity.ResultsOf the 990 type 2 diabetes patients included in our analysis, 756 were taking a fixed-dose combination and 234 were taking a loose-dose combination. We observed a statistically significantly higher change in adherence (year one: 0.22, p<0.001, year two: 0.25, p<0.001, and year three: 0.29, p<0.001) as well as higher persistence and a smaller change in the number of drug prescriptions in each of the three years in the fixed-dose combination group compared to the loose-dose combination group. The differences were most pronounced in patients who were poorly adherent, had a high pill burden, or did not have a severe concomitant disease.ConclusionOur results indicate that taking a fixed-dose combination can lead to a significant improvement in adherence to pharmacological therapy of type 2 diabetes compared to a loose-dose combination. In particular, these findings suggest that reducing pill burden may improve disease management among patients with more complex medication demand and patients who have demonstrated poor medication adherence.

Project description:BackgroundAdherence rates of preventative medication for cardiovascular disease (CVD) have been reported as 57%, and approximately 9% of all CVD events in Europe are attributable to poor medication adherence. Mobile health technologies, particularly mobile apps, have the potential to improve medication adherence and clinical outcomes.ObjectiveThe objective of this study is to assess the effects of mobile health care apps on medication adherence and health-related outcomes in patients with CVD. This study also evaluates apps' functionality and usability and the involvement of health care professionals in their use.MethodsElectronic databases (MEDLINE [Ovid], PubMed Central, Cochrane Library, CINAHL Plus, PsycINFO [Ovid], Embase [Ovid], and Google Scholar) were searched for randomized controlled trials (RCTs) to investigate app-based interventions aimed at improving medication adherence in patients with CVD. RCTs published in English from inception to January 2020 were reviewed. The Cochrane risk of bias tool was used to assess the included studies. Meta-analysis was performed for clinical outcomes and medication adherence, with meta-regression analysis used to evaluate the impact of app intervention duration on medication adherence.ResultsThis study included 16 RCTs published within the last 6 years. In total, 12 RCTs reported medication adherence as the primary outcome, which is the most commonly self-reported adherence. The duration of the interventions ranged from 1 to 12 months, and sample sizes ranged from 24 to 412. Medication adherence rates showed statistically significant improvements in 9 RCTs when compared with the control, and meta-analysis of the 6 RCTs reporting continuous data showed a significant overall effect in favor of the app intervention (mean difference 0.90, 95% CI 0.03-1.78) with a high statistical heterogeneity (I2=93.32%). Moreover, 9 RCTs assessed clinical outcomes and reported an improvement in systolic blood pressure, diastolic blood pressure, total cholesterol, and low-density lipoprotein cholesterol levels in the intervention arm. Meta-analysis of these clinical outcomes from 6 RCTs favored app interventions, but none were significant. In the 7 trials evaluating app usability, all were found to be acceptable. There was a great variation in the app characteristics. A total of 10 RCTs involved health care professionals, mainly physicians and nurses, in the app-based interventions. The apps had mixed functionality: 2 used education, 7 delivered reminders, and 7 provided reminders in combination with educational support.ConclusionsApps tended to increase medication adherence, but interventions varied widely in design, content, and delivery. Apps have an acceptable degree of usability; yet the app characteristics conferring usability and effectiveness are ill-defined. Future large-scale studies should focus on identifying the essential active components of successful apps.Trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42019121385; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=121385.

Project description:BackgroundMany glaucoma patients do not adhere to their medication regimens because they fail to internalize the (health) costs of non-adherence, which may not occur until years or decades later. Behavioural economic theory suggests that adherence rates can be improved by offering patients a near-term benefit. Our proposed strategy is to offer adherence-contingent rebates on medication and check-up costs. This form of value pricing (VP) ensures that rebates are granted only to those most likely to benefit. Moreover, by leveraging loss aversion, rebates are expected to generate a stronger behavioural response than equivalent financial rewards.Methods/designThe main objective of the Study on Incentives for Glaucoma Medication Adherence (SIGMA) is to test the VP approach relative to usual care (UC) in improving medication adherence. SIGMA is a randomized, controlled, open-label, single-centre superiority trial with two parallel arms. A total of 100 non-adherent (Morisky Medication Adherence Scale ≤6) glaucoma patients from the Singapore National Eye Centre are block-randomized (blocking factor: single versus multiple medications users) into the VP and UC arms in a 1:1 ratio. The treatment received by VP patients will be strictly identical to that received by UC patients, with the only exception being that VP patients can earn either a 50 % or 25 % rebate on their glaucoma-related healthcare costs conditional on being adherent on at least 90 % or 75 % of days as measured by a medication event monitoring system. Masking the arm allocation will be precluded by the behavioural nature of the intervention but blocking size will not be disclosed to protect concealment. The primary outcome is the mean change from baseline in percentage of adherent days at month 6. A day will be counted as adherent when the patients take all their medication(s) within the appropriate dosing windows.DiscussionThis trial will provide evidence on whether adherence-contingent rebates can improve medication adherence among non-adherent glaucoma patients, and more generally whether this approach represents a promising strategy to cost-effectively improve chronic disease management.Trial registrationNCT02271269 . Registered on 19 October 2014.

Dataset Information

Medication Adherence Improvement By Using Administration Timing Simplification Protocol (ATSP) in Cardiovascular Disease Patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets