Predicting Treatment Discontinuation Among Patients with Multiple Sclerosis: Application of the Transtheoretical Model of Change

Factors Associated With Disease-Modifying Therapy Adherence and Persistence in Multiple Sclerosis: A Scoping Literature Review

BACKGROUND

Patients with multiple sclerosis (MS) receiving disease-modifying therapies (DMT) show published adherence rates of 27.0% to 93.8% and published persistence rates of 49.7% to 96.5%. Improvements in DMT adherence and persistence are key to optimizing MS care, and enhanced understanding could improve MS disease management and identify research gaps. This scoping literature review aims to examine the nature and findings of the literature evaluating factors associated with DMT adherence and persistence in patients with MS.

METHODS

Eligible articles included in the literature review were quantitative clinical studies written in English, included adherence or persistence as primary outcomes, and accounted for covariates/confounders. The articles were assessed to identify factors associated with adherence/persistence and analyzed according to DMT type (self-injectable, oral, infusion).

RESULTS

Fifty-eight studies (103,450 patients) were included. Study distribution by DMT type was self-injectable only (n = 41), oral only (n = 2), infusion only (n = 1), and more than 1 type (n = 14). Older age and previous DMT use were associated with increased adherence and/or persistence. Increased alcohol consumption, DMT adverse events, higher education, and higher body mass index were negatively associated with adherence and/or persistence. Greater number and severity of relapses was associated with increased adherence but decreased persistence.

CONCLUSIONS

Most studies examined factors associated with adherence and persistence to self-injectable DMTs. These factors should be evaluated further for oral and infusion DMTs. Insights into the modifiable factors associated with adherence and persistence could guide treatment decisions and help improve adherence and clinical outcomes.

Treatment Switching and Discontinuation Over 20 Years in the Big Multiple Sclerosis Data Network

Background: Although over a dozen disease modifying treatments (DMTs) are available for relapsing forms of multiple sclerosis (MS), treatment interruption, switching and discontinuation are common challenges. The objective of this study was to describe treatment interruption and discontinuation in the Big MS data network. Methods: We merged information on 269,822 treatment episodes in 110,326 patients from 1997 to 2016 from five clinical registries in this cohort study. Treatment stop was defined as a clinician recorded DMT end for any reason and included treatment interruptions, switching to alternate DMTs and long-term or permanent discontinuations. Results: The incidence of DMT stopping cross the full observation period was lowest in FTY (19.7 per 100 person-years (PY) of treatment; 95% CI 19.2-20.1), followed by NAT (22.6/100 PY; 95% CI 22.2-23.0), IFNβ (23.3/100 PY; 95% CI 23.2-23.5). Of the 184,013 observed DMT stops, 159,309 (86.6%) switched to an alternate DMT within 6 months. Reasons for stopping a drug were stable during the observation period with lack of efficacy being the most common reason followed by lack of tolerance and side effects. The proportion of patients continuing on most DMTs were similarly stable until 2014 and 2015 when drop from 83 to 75% was noted. Conclusions: DMT stopping reasons and rates were mostly stable over time with a slight increase in recent years, with the availability of more DMTs. The overall results suggest that discontinuation of MS DMTs is mostly due to DMT properties and to a lesser extent to risk management and a competitive market.

Teaching motivational interviewing in a blended learning environment

BACKGROUND AND PURPOSE

To describe the implementation of blended learning in teaching motivational interviewing (MI) to third-year pharmacy students and evaluate changes in MI knowledge by assessing students' abilities to recognize and formulate responses using MI skills after the training and, for a subset of students, one year later.

EDUCATIONAL ACTIVITY AND SETTING

The comMIt e-learning program was integrated into a third-year pharmacy communication course. Skills learned in the program were applied and assessed using e-learning quizzes, three in-class practice sessions and a 5-minute final assessment video. In addition, students completed a 22-item pre- and post-survey addressing their abilities to recognize and formulate statements using MI skills. This survey was voluntarily completed again one year later.

FINDINGS

Sixty students completed the training and showed a statistically significant improvement between the pre- and post-surveys. Twenty-seven students voluntarily responded to the survey one year later. While overall performance dropped between the post-survey and the one-year follow-up, students sustained their ability to formulate appropriate MI responses to the open-response questions.

SUMMARY

This study demonstrates that students can successfully learn and retain MI skills using blended learning via the comMIt e-learning program and in-class practice activities.

An evaluation of adherence in patients with multiple sclerosis newly initiating treatment with a self-injectable or an oral disease-modifying drug

OBJECTIVE

As the multiple sclerosis (MS) disease-modifying drug (DMD) treatment options have expanded to include oral therapies, it is important to understand whether route of administration is associated with DMD adherence. The objective of this study was to compare adherence to DMDs in patients with MS newly initiating treatment with a self-injectable versus an oral DMD.

METHODS

This retrospective database study used IMS Health Real World Data Adjudicated Claims - US data between July 1, 2010 and June 30, 2014. Adherence was measured by medication possession ratio (MPR), calculated as the total number of treated days divided by the total number of days from the first treated day until the end of 12-month follow-up. A binary measure representing adherence (MPR ≥0.8) versus nonadherence (MPR <0.8) to therapy was used. Logistic regression evaluated the likelihood of adherence to index DMD type (self-injectable vs oral). Covariates included patient baseline characteristics (ie, age, sex, comorbidities) and index DMD type.

RESULTS

The analysis included 7,207 self-injectable and 1,175 oral DMD-treated patients with MS. In unadjusted analyses, the proportion of patients adherent to therapy (MPR ≥0.8) did not differ significantly between the self-injectable (54.1%) and the oral DMD cohorts (53.0%; P=0.5075). After controlling for covariates, index DMD type was not a significant predictor of adherence (odds ratio [OR] 1.062; 95% confidence interval [CI]: 0.937-1.202; P=0.3473). Higher likelihood of adherence was associated with male sex (OR 1.20; 95% CI: 1.085-1.335; P=0.0005) and age groups older than 18-34 years (ORs 1.220-1.331; P<0.01). Depression was associated with a lower likelihood of adherence (OR 0.618; 95% CI: 0.511-0.747; P<0.0001).

CONCLUSION

Male sex and age older than 18-34 years were significantly associated with a higher likelihood of adherence, while depression was associated with a lower likelihood of adherence. Index DMD type, stratified by the route of administration (self-injectable vs oral DMD), was not a significant predictor of DMD adherence.

Patient barriers to and enablers of deprescribing: a systematic review

BACKGROUND

Inappropriate medication use is common in the elderly and the risks associated with their use are well known. The term deprescribing has been utilised to describe the complex process that is required for the safe and effective cessation of inappropriate medications. Given the primacy of the consumer in health care, their views must be central in the development of any deprescribing process.

OBJECTIVES

The aim of this study was to identify barriers and enablers that may influence a patient's decision to cease a medication.

DATA SOURCES

A systematic search of MEDLINE, International Pharmaceutical Abstracts, EMBASE, CINAHL, Informit and Scopus was conducted and augmented with a manual search. Numerous search terms relating to withdrawal of medications and consumers' beliefs were utilised.

STUDY ELIGIBILITY CRITERIA

Articles were included if the barriers or enablers were directly patient/carer reported and related to long-term medication(s) that they were currently taking or had recently ceased.

STUDY APPRAISAL AND SYNTHESIS METHODS

Determination of relevance and data extraction was performed independently by two reviewers. Content analysis with coding was utilised for synthesis of results.

RESULTS

Twenty-one articles met the criteria and were included in the review. Three themes, disagreement/agreement with 'appropriateness' of cessation, absence/presence of a 'process' for cessation, and negative/positive 'influences' to cease medication, were identified as both potential barriers and enablers, with 'fear' of cessation and 'dislike' of medications as a fourth barrier and enabler, respectively. The most common barrier/enabler identified was 'appropriateness' of cessation, with 15 studies identifying this as a barrier and 18 as an enabler.

CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS

The decision to stop a medication by an individual is influenced by multiple competing barriers and enablers. Knowledge of these will aid in the development of a deprescribing process, particularly in approaching the topic of cessation with the patient and what process should be utilised. However, further research is required to determine if the proposed patient-centred deprescribing process will result in improved patient outcomes.

Adherence to first-line disease-modifying therapy for multiple sclerosis in kuwait

The aim of this retrospective study was to determine the rate of nonadherence to disease-modifying therapies (DMTs) among multiple sclerosis (MS) patients in Kuwait and to identify reasons for patient discontinuation of long-term therapy. Using a newly established MS registry at our institution, we collected data on MS patients' demographics, clinical characteristics, disability measures, and continuation or discontinuation of first-line DMTs. Reasons for nonadherence were divided into four categories: adverse events, inconvenience, perceived lack of efficacy, and physician-documented disease progression. Of 212 eligible patients, 40.1% were found to be nonadherent to first-line DMTs. In the nonadherent group, the female-to-male ratio was 1.75:1 and the mean age at disease onset was 26.8 years. Of this group, 69.4% of patients had a relapsing-remitting course, 18.8% had a secondary progressive course, and 11.8% had clinically isolated syndrome. Compared with the adherent group, the nonadherent group had a shorter mean disease duration (P = .014) and a greater likelihood of having Expanded Disability Status Scale (EDSS) scores of 3 or lower (67.1% vs. 48.0%; P = .007). Inconvenience was the most common reason for nonadherence (32.9%), followed by perceived lack of efficacy (25.9%), adverse events (23.5%), and physician-documented disease progression (17.7%). In summary, the rate of nonadherence to first-line DMTs in MS patients at our institution is considered high. Most nonadherent patients had a short disease duration and low EDSS scores. Inconvenience and perceived lack of efficacy were the most common reasons for nonadherence. The results demonstrate a need to improve treatment adherence among MS patients in Kuwait through providing better patient education, improving communication between patients and health-care providers, defining therapy expectations, and instituting new therapeutic techniques.

The Global Adherence Project (GAP): a multicenter observational study on adherence to disease-modifying therapies in patients with relapsing-remitting multiple sclerosis

BACKGROUND

most disease-modifying therapies (DMTs) for multiple sclerosis (MS) are self-injectable medications that must be taken on an ongoing basis to reduce disease activity. Thus, adherence to therapy becomes an important challenge that must be addressed to maximize benefits of therapy. This study evaluated rates of adherence to prescribed treatment and explored factors affecting adherence amongst patients with relapsing-remitting MS.

METHODS

this was an observational, multicenter, multinational, phase 4 study. Patients and physicians received paper questionnaires regarding adherence to DMTs approved at the time of the study, including intramuscular interferon beta-1a (IFNβ-1a), subcutaneous IFNβ-1a, IFNβ-1b, and glatiramer acetate. Quality of life and cognition data also were collected. Multivariate analysis was conducted to identify factors associated with adherence to long-term DMTs.

RESULTS

two thousand six hundred and forty-eight patients were studied, revealing an average treatment duration of 31 months. Seventy-five percent of patients (n = 1923) were adherent to therapy. The most common reasons for non-adherence were forgetting to administer the injection (50.2%) and other injection-related reasons (32.0%). Adherent patients reported better quality of life (P < 0.05) and fewer neuropsychological issues (P < 0.001) than non-adherent patients. Adherent patients had significantly shorter duration of disease (P < 0.001) and shorter duration of therapy (P = 0.005) than non-adherent patients. Women were more likely than men to adhere to treatment.

CONCLUSION

identifying factors that affect adherence to prescribed treatments is the first step in improving adherence of patients with MS to therapy, thereby helping maximize the benefits of long-term DMTs.

Frequency of and reasons for medication non-fulfillment and non-persistence among American adults with chronic disease in 2008

OBJECTIVE To identify self-reported reasons why adults with chronic disease do not fill a new prescription (medication non-fulfillment) and/or stop taking a medication without their physician telling them to do so (lack of medication persistence). METHODS Participants were sampled in 2008 from a national, internet-based panel of American adults with chronic disease. A total of 19 830 respondents answered questions about medication non-fulfillment and medication non-persistence and reasons for non-fulfillment and non-persistence. Among persons self-identified as non-fulfillers and non-persisters, statistical analyses assessed the association between reported reasons for non-fulfillment and non-persistence and chronic disease. A subsample of respondents completed an additional survey which included multi-item scales assessing matched constructs of most of the reasons for non-fulfillment and non-persistence. The convergent validity of the self-reported reasons was assessed against the multi-item scales. RESULTS The same four reasons were most commonly reported for both medication non-fulfillment and medication non-persistence: paying for the medication a financial hardship (56 and 43%, respectively); fear or experience of side effects (46 and 35%, respectively); generic concerns about medications (32 and 23%, respectively); and lack of perceived need for the medication (25 and 23%, respectively). The frequency with which the reasons were reported varied somewhat by chronic disease. The convergent validity of most of the self-reported reasons was confirmed against multi-item scales measuring matched constructs. CONCLUSIONS The same top reasons for medication non-fulfillment and non-adherence were observed in a large internet-based sample of American adults with chronic disease. Future efforts to improve medication adherence should address patients' medication concerns, perceived need for medications, and perceived medication affordability.

Objective adherence monitoring in multiple sclerosis: initial validation and association with self-report

Poor adherence to medication is commonplace and contributes to poor health outcomes among numerous patient populations. Studies that have examined treatment adherence in multiple sclerosis focus exclusively on retrospective self-reports and/or imprecise measures of treatment discontinuation. To help address these methodological limitations, the present longitudinal study compared adherence outcomes for patients with multiple sclerosis using retrospective self-reports, adherence diaries, and a novel electronic monitoring device. Sixty-seven patients with relapsing—remitting multiple sclerosis were followed for a period of eight weeks during which they used a medication diary and a sharps container that captured electronically the time and date of each needle disposal. The patients also reported at the outset and conclusion of the study how frequently they missed doses. All measures of adherence were highly correlated. Patients reported better adherence than was indicated by medication diaries and electronic monitoring of needle disposals. Nearly one-fifth of the sample exhibited poor adherence, missing more than 20% of their prescribed medication. The results support the validity of electronic monitoring of needle disposal as an effective means of measuring adherence to disease modifying therapies in multiple sclerosis. In contrast, studies employing only self-report may underestimate poor adherence. Larger scale studies that employ prospective objective methods are necessary to gain a better understanding of adherence patterns in multiple sclerosis.

Compliance, adherence, and the treatment of multiple sclerosis

With the availability of disease-modifying, immunomodulatory therapies (DMT) for multiple sclerosis (MS) and the first long-term studies, it became obvious that problems of compliance to complex treatment regimens under chronic conditions would also apply to these approaches. In a selective overview, problems and findings of adherence research are depicted. Based on a discussion of basic concepts, issues of operationally defining and measuring adherence are outlined. Descriptive findings on adherence to DMTs and empirical predictors of nonadherence are then discussed. Referring to theoretical models of treatment motivation, selected problems (e. g., indication) and strategies of promoting adherence are described. Finally, implications of modern concepts of the patient-therapist relationship for the issue of patient adherence are considered.

The Adherence Estimator: a brief, proximal screener for patient propensity to adhere to prescription medications for chronic disease

OBJECTIVE

To conceptualize, develop, and provide preliminary psychometric evidence for the Adherence Estimator--a brief, three-item proximal screener for the likelihood of non-adherence to prescription medications (medication non-fulfillment and non-persistence) for chronic disease.

RESEARCH DESIGN AND METHODS

Qualitative focus groups with 140 healthcare consumers and two internet-based surveys of adults with chronic disease, comprising a total of 1772 respondents, who were self-reported medication adherers, non-persisters, and non-fulfillers. Psychometric tests were performed on over 150 items assessing 14 patient beliefs and skills hypothesized to be related to medication non-adherence along a proximal-distal continuum. Psychometric tests included, but were not limited to, known-groups discriminant validity at the scale and item level. The psychometric analyses sought to identify: (1) the specific multi-item scales that best differentiated self-reported adherers from self-reported non-adherers (non-fulfillers and non-persisters) and, (2) the single best item within each prioritized multi-item scale that best differentiated self-reported adherers from self-reported non-adherers (non-fulfillers and non-persisters).

RESULTS

The two rounds of psychometric testing identified and cross-validated three proximal drivers of self-reported adherence: perceived concerns about medications, perceived need for medications, and perceived affordability of medications. One item from each domain was selected to include in the Adherence Estimator using a synthesis of psychometric results gleaned from classical and modern psychometric test theory. By simple summation of the weights assigned to the category responses of the three items, a total score is obtained that is immediately interpretable and completely transparent. Patients can be placed into one of three segments based on the total score--low, medium, and high risk for non-adherence. Sensitivity was 88%--of the non-adherers, 88% would be accurately classified as medium or high risk by the Adherence Estimator. The three risk groups differed on theoretically-relevant variables external to the Adherence Estimator in ways consistent with the hypothesized proximal-distal continuum of adherence drivers.

CONCLUSIONS

The three-item Adherence Estimator measures three proximal beliefs related to intentional non-adherence (medication non-fulfillment and non-persistence). Preliminary evidence of the validity of the Adherence Evidence supports its intended use to segment patients on their propensity to adhere to a newly-prescribed prescription medication. The Adherence Estimator is readily scored and is easily interpretable. Due to its brevity and transparency, it should prove to be practical for use in everyday clinical practice and in disease management for adherence quality improvement. Study limitations related to sample representation and self reports of chronic disease and adherence behaviors were discussed.

Use of the transtheoretical model in the medication use process

OBJECTIVE

To review articles published during the past 10 years relating to the transtheoretical model (TTM) and the medication use process, focusing on prescribing, dispensing, and using prescription and nonprescription medications for legitimate purposes.

DATA SOURCES

MEDLINE, Cochrane database, PsychINFO, International Pharmaceutical Abstracts, and PubMed were searched from 1995 to August 2004 using the key terms models, psychological; prescriptions, drug; drugs, nonprescription; models, theoretical; self medication; patient compliance; medication compliance; decision making; drug therapy and behavior change. Additional searches included the following terms: pharmacists, community; TTM; transtheoretical model, pharmacy services, new practice patterns and physician practice patterns.

STUDY SELECTION AND DATA EXTRACTION

Studies with empirical application of any aspect of TTM were included. Abstracts were reviewed by both authors, and data were independently abstracted including, for example, specific aspects of TTM used or tested, context for model use or setting, and results and authors' suggestions for future use of TTM. The reviewers came to consensus on all abstracted information.

DATA SYNTHESIS

Eleven articles were identified that contained TTM and drug use; however, only 5 were empirical applications. There were 2 types of applications of TTM in medication use: measurement of stage of change regarding adherence and prediction of adherence using TTM concepts. A 1- and 2-item measure of adherence stage of change have been validated. Medication adherence stage of change varied by type of drug. The pros and cons of taking the medicine and stage of change were useful in predicting adherence. No intervention studies to improve adherence were identified.

CONCLUSIONS

TTM has not been used extensively to examine the medication use process. Without further research, no clear recommendation can be provided as to the effectiveness of TTM in improving the drug use process, but it remains promising.