Use of medication reminders in patients with rheumatoid arthritis

Predicting the individualized risk of nonadherence to zoledronic acid among osteoporosis patients receiving the first infusion of zoledronic acid: development and validation of new predictive nomograms

Introduction:

Achieving optimal adherence to zoledronic acid (ZOL) among osteoporosis (OP) patients is a challenging task. Here, we aimed to develop and validate a precise and efficient prediction tool for ZOL nonadherence risk in OP patients.

Methods:

We prospectively collected and analyzed survey data from a clinical registry. A total of 1010 OP patients treated for the first time with ZOL in two separate hospitals were selected for nonadherence analysis. The evaluation included a 16-item ZOL Nonadherence Questionnaire and potential risk factors for ZOL nonadherence were assessed via univariate and multivariate analyses. We next developed and validated two distinct-stage nomograms. Discrimination, calibration, and clinical usefulness of the predicting models were assessed using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA).

Results:

The total nonadherence rate was 20.30% after the first ZOL infusion. To generate a model predicting ZOL nonadherence risk, six predictors of 16 items were retained. Model 2 (AUC, 0.8486; 95% confidence interval [CI], 0.8171–0.8801) exhibited considerably more discrimination in desirable functional outcomes, relative to Model 1 (AUC, 0.7644; 95% CI, 0.7265–0.8024). The calibration curves displayed good calibration. DCA revealed that a cutoff probability of 5–54% (Model 1) and 1–85% (Model 2) indicated that the models were clinically useful. External validation also exhibited good discrimination and calibration.

Conclusions:

This study developed and validated two novel, distinct-stage prediction nomograms that precisely estimate nonadherence risk among OP patients receiving the first infusion of ZOL. However, additional evaluation and external validation are necessary prior to widespread implementation.

A randomized controlled trial to assess the influence of a picture-based antiemetic medication calendar on medication-taking behavior in adults receiving chemotherapy

OBJECTIVE

A prospective open-label randomized controlled trial to assess the role of a picture-based medication calendar on adherence to antiemetic regimens for adult patients receiving chemotherapy and assess the effect on other medication taking behaviors as well as patient satisfaction with the tool.

METHODS

Participants were randomly assigned 1:1 to routine care with or without calendar.

RESULTS

Adherence, stratified by education (university or postgraduate, p = 0.09; grade school, high school or college p = 0.32), was non-significantly different between study arms. At least 70% of intervention arm participants moderately or completely agreed that the calendar helped with medication taking behaviors. There was no statistical difference between study arms for perceived regimen complexity (p = 0.16). Medication Use and Self Efficacy score (adjusted for age) used to assess perceived self-efficacy with medication taking behaviors were not statistically significant between study arms (p = 0.09).

CONCLUSION

The picture-based medication calendar did not statistically affect adherence to scheduled antiemetics among outpatients receiving chemotherapy for solid organ tumor origins. However, participants indicated that the calendar was effective for keeping track of medications, had an easy-to-understand layout, and provided help around when and how to take medications related to the oncology regimen.

What are the risk factors of poor medication adherence in the target-to-treat era?

Objectives

This study aims to identify adherence rate and risk factors of poor adherence in patients with tightly controlled rheumatoid arthritis (RA) based on the treat-to-target (TTT) strategy.

Patients and methods

In this cross-sectional, observational study, a total of 103 patients (22 males, 81 females; mean age 58.6±9.5 years; range, 35 to 76 years) with tightly controlled RA between November 2016 and May 2017 were included. The patients were evaluated in terms of sociodemographic features, smoking and alcohol drinking status, body mass index (BMI), Disease Activity Score 28 (DAS28), and clinical and medication data. They filled out a series of standardized questionnaires including the Morisky 8-item Medication Adherence Scale (MMAS-8), Beck Depression Inventory (BDI), Mini-Mental State Examination (MMSE), and Health Assessment Questionnaire-Disability Index (HAQ-DI). Multiple multivariate linear regression analysis was used to identify variables which were possibly associated with the MMAS-8.

Results

Of the patients, 53 (51.5%) were non-adherent and 50 (48.5%) were adherent to medication. The DAS28-erythrocyte sedimentation rate, mean DAS28, HAQ, BDI scores, and the number of visits were higher and the MMSE scores were lower in non-adherent patients than adherent patients. In the linear multivariate analysis, significant associations were found between the MMAS-8 and MMSE, BDI, DAS28, and mean DAS28 scores.

Conclusion

Our study results show that the medication adherence rate is significantly higher compared to previous studies and high disease activity, depression, and cognitive dysfunction significantly affect medication adherence in this patient population.

Effect of patient education on medication adherence of patients with rheumatoid arthritis: a randomized controlled trial

PURPOSE

There is a general understanding that patient educational interventions for enhancing medication adherence are important. However, their success at improving adherence is debatable. This study aimed to assess the influence of different modes of patient education on medication adherence in patients with rheumatoid arthritis (RA).

MATERIALS AND METHODS

One hundred and twenty RA patients with non-adherence, defined as pill count ≥80% or medication-taking behavior questionnaire for Thai patient ≥23, were randomized by block randomization and assigned in a 1:1 allocation ratio to two study arms: multi-component intervention group or single intervention group. The multi-component intervention group received 30-minute directed counseling and a disease information pamphlet. The single intervention group received only a disease information pamphlet. The primary outcomes were an improvement in an adherence rate measured by pill count after 12 weeks. The Thai Clinical Trial Registry number is TCTR20171207003.

RESULTS

After 12 weeks, the pill count adherence rate increased significantly from baseline in both study groups. In the multi-component intervention group, adherence rate increased from 92.21±14.05 to 97.59±10.07 (P=0.002) and in the single intervention group, it increased from 88.60±19.66 to 92.42±14.27 (P=0.044). However, the mean difference between the multi-component intervention group and the single intervention group was not significant (5.38±12.90 vs 3.18±14.23, P=0.531). Clinical outcomes, including disease activity score 28, EuroQoL-5D, EuroQol visual analog scale, pain score, and physician global assessment were unchanged from baseline in both groups.

CONCLUSION

Patient education significantly improved adherence. However, there were no differences between single education intervention and multi-component education intervention in improving medication adherence. Provision of a disease information pamphlet with or without directed counseling can equally enhance medication adherence of patients with RA.

Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

PURPOSE

The aim of this study was to develop and internally validate a medication nonadherence risk nomogram in a Chinese population of patients with inflammatory rheumatic diseases.

PATIENTS AND METHODS

We developed a prediction model based on a training dataset of 244 IRD patients, and data were collected from March 2016 to May 2016. Adherence was evaluated using 19-item Compliance Questionnaire Rheumatology. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the medication nonadherence risk model. Multivariable logistic regression analysis was applied to build a predicting model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the predicting model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using the bootstrapping validation.

RESULTS

Predictors contained in the prediction nomogram included use of glucocorticoid (GC), use of nonsteroidal anti-inflammatory drugs, number of medicine-related questions, education level, and the distance to hospital. The model displayed good discrimination with a C-index of 0.857 (95% confidence interval: 0.807-0.907) and good calibration. High C-index value of 0.847 could still be reached in the interval validation. Decision curve analysis showed that the nonadherence nomogram was clinically useful when intervention was decided at the nonadherence possibility threshold of 14%.

CONCLUSION

This novel nonadherence nomogram incorporating the use of GC, the use of nonsteroidal anti-inflammatory drugs, the number of medicine-related questions, education level, and distance to hospital could be conveniently used to facilitate the individual medication nonadherence risk prediction in IRD patients.

A systematic review of the barriers affecting medication adherence in patients with rheumatic diseases

Medication adherence is a crucial part in the management of rheumatic diseases, especially with many such patients requiring long-term medications. In this paper, we aim to systematically review the literature for the factors associated with medication adherence in the rheumatic patient population. We carried out a systematic literature search using PubMed^®, PsychInfo^® and Embase ^® with relevant keywords and employed the PRISMA^® criteria. We included English peer-reviewed articles that studied the factors affecting medication adherence in patients with rheumatic diseases, which were assessed by two independent reviewers. Hand searches were conducted and relevant factors were extracted and classified using the World Health Organization (WHO)'s five dimensions of medication adherence. A simple diagram was drawn to summarise the factors extracted. 1977 articles were identified and reviewed and 90 articles were found to be relevant. A total of 17 factors and 38 sub-factors were identified and categorized based on the WHO's five dimensions of medication adherence. A hand model for medication adherence was developed to succinctly summarise these dimension to remind clinicians the importance of medication adherence in daily practice. We conducted a systematic review on the various factors including patient, therapy, condition, health system and socioeconomic-related factors that affected medication adherence in rheumatic patients. We found 17 factors and 38 sub-factors that affected medication adherence in this population. This systematic review can facilitate future focused research in unexplored dimensions.

Treatment adherence and disease burden of individuals with rheumatic diseases admitted as outpatients to a large rheumatology center in Shanghai, China

PURPOSE

The purpose of this study was to determine treatment adherence and disease burden, analyze detailed medication problems experienced by patients, and identify factors associated with adherence in patients with rheumatic diseases in China.

PATIENTS AND METHODS

Patients with confirmed diagnoses of ankylosing spondylitis (AS), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE) were recruited, regardless of demographics, disease severity, and treatment characteristics. Adherence was assessed using the Compliance Questionnaire for Rheumatology and interview-based self-reports. A backwards-stepwise multivariate regression analysis was used to identify factors associated with adherence.

RESULTS

We collected data on 252 patients who had a rheumatic disease and visited our outpatient clinic in January or February of 2017. There were 121 patients with SLE, 70 with RA, and 61 with AS. The overall adherence rate was 41.7%, with 48.7% for SLE patients, 38.6% for RA patients, and 31.1% for AS patients. The overall EuroQol (EQ)-index was 0.761; AS patients had the best EQ-index (0.792), followed by those with SLE (0.780) and RA (0.700). SLE patients also had greater annual direct costs (US$5,103.58) than RA or AS patients.

CONCLUSION

Overall, 41.7% of our rheumatic disease patients were adherent to treatment, lower than in many other parts of the world. This indicates that it is important to identify methods that improve adherence in this population. It is particularly important to improve the health status and reduce the disease burden of patients with SLE, the most common of the three rheumatic diseases we analyzed. Our results suggest that reminder tools may improve adherence. Further prospective research is needed to confirm whether reminder tools and other measures can improve patient compliance.