Adherence to Long-Term Interferon Beta-1b Injection Therapy in Patients with Multiple Sclerosis Using an Electronic Diary

Enhancing neurosurgical navigation operation flow management through personal digital assistant technology: a prospective cohort study

Purpose

This prospective cohort study aims to evaluate the impact of digital health technology especially Personal Digital Assistants (PDA) in neurosurgical procedure management, focusing on surgical safety check accuracy, efficiency, and patient satisfaction.

Methods

The study included 211 neurosurgical cases from January to December 2022. The control group of 106 patients followed traditional verification methods, while the experimental group of 105 patients used PDA. The PDA system facilitated real-time data collection, verification, and transmission. The study compared both groups in terms of check times, accuracy rates, and patient satisfaction, and used multivariate regression to assess the impact of baseline parameters on these outcomes.

Results

The study found that the experimental group using the PDA system reduced the average verification time by approximately 8 min, achieving 100.0% accuracy in preoperative and postoperative checks, significantly better than the control group (91.5% pre- and post-operation). Multivariate regression confirmed a 48.1% reduction in postoperative verification time due to the PDA system (p < 0.001), with the model showing high explanatory power (R2 = 0.911). Other examined factors, including patient age and nurse experience, had no significant effects. Similarly, the PDA's introduction markedly improved verification accuracy, with no significant impact from other variables (p = 0.010).

Conclusion

The application of the PDA system in neurosurgical operations significantly enhanced the accuracy and efficiency of surgical safety checks, reduced nursing errors, optimized nursing workflows, and improved patient satisfaction. These results provide valuable insights for the application of PDA technology in high-risk medical fields, demonstrating potential of digital health tools in enhancing surgical safety and efficiency.

The Adherence and Outcomes Benefits of Using a Connected, Reusable Auto-Injector for Self-Injecting Biologics: A Narrative Review

Many biologics are now self-administered by patients at home. A variety of self-injection devices are available, including vials and syringes, prefilled syringes, and spring-driven prefilled pens or auto-injectors. Each has advantages and drawbacks, and different devices suit different patients. For example, some patients have difficulty achieving consistent and successful self-injection due to poor manual dexterity, or experience anxiety at the prospect of self-injection or injection-site pain. These factors can reduce patients' medication adherence and overall experience. Furthermore, while self-injection brings patients many benefits, the proliferation of single-use injection devices has implications for environmental sustainability, including the reliance on single-use plastics, repeated freighting requirements, and need for incineration as hazardous waste. Recently developed, innovative electromechanical auto-injector devices offer technological enhancements over existing devices to overcome some of these issues. Features include customisable injection speeds or durations, consistent rate of injection, electronic injection logs and reminders, and step-by-step, real-time instructions. Indeed, a growing body of evidence points to higher adherence rates among patients using electromechanical devices compared with other devices. Further, with time, the reusability of electromechanical devices may prove to lighten the environmental impact compared with disposable devices, especially as research continues to optimise their sustainability, driven by increased consumer demands for environmental responsibility. This narrative review discusses the differences between prefilled syringes, spring-driven prefilled pens, and electromechanical devices. It also explores how these features may help reduce injection-associated pain and anxiety, improve patient experience, connectivity and adherence, and drive sustainability of biologic drugs in future.

Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis

Background

Consumer-grade fitness trackers offer exciting opportunities to study persons with chronic diseases in greater detail and in their daily-life environment. However, attempts to bring fitness tracker measurement campaigns from tightly controlled clinical environments to home settings are often challenged by deteriorating study compliance or by organizational and resource limitations.

Objectives

By revisiting the study design and patient-reported experiences of a partly remote study with fitness trackers (BarKA-MS study), we aimed to qualitatively explore the relationship between overall study compliance and scalability. On that account, we aimed to derive lessons learned on strengths, weaknesses, and technical challenges for the conduct of future studies.

Methods

The two-phased BarKA-MS study employed Fitbit Inspire HR and electronic surveys to monitor physical activity in 45 people with multiple sclerosis in a rehabilitation setting and in their natural surroundings at home for up to 8 weeks. We examined and quantified the recruitment and compliance in terms of questionnaire completion and device wear time. Furthermore, we qualitatively evaluated experiences with devices according to participants' survey-collected reports. Finally, we reviewed the BarKA-MS study conduct characteristics for its scalability according to the Intervention Scalability Assessment Tool checklist.

Results

Weekly electronic surveys completion reached 96%. On average, the Fitbit data revealed 99% and 97% valid wear days at the rehabilitation clinic and in the home setting, respectively. Positive experiences with the device were predominant: only 17% of the feedbacks had a negative connotation, mostly pertaining to perceived measurement inaccuracies. Twenty-five major topics and study characteristics relating to compliance were identified. They broadly fell into the three categories: "effectiveness of support measures", "recruitment and compliance barriers", and "technical challenges". The scalability assessment revealed that the highly individualized support measures, which contributed greatly to the high study compliance, may face substantial scalability challenges due to the strong human involvement and limited potential for standardization.

Conclusion

The personal interactions and highly individualized participant support positively influenced study compliance and retention. But the major human involvement in these support actions will pose scalability challenges due to resource limitations. Study conductors should anticipate this potential compliance-scalability trade-off already in the design phase.

Associated factors of potential drug-drug interactions and drug-food interactions in patients with multiple sclerosis

Background:

Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs) as they take numerous medications to treat MS, associated symptoms and comorbidities. Knowledge about pDDIs and pDFIs can increase treatment success and reduce side effects.

Objective:

We aimed at determining the frequency and severity of pDDIs and pDFIs in PwMS, with regard to polypharmacy.

Methods:

In the cross-sectional study, we analysed pDDIs and pDFIs of 627 PwMS aged ⩾18 years. Data collection was performed through patient record reviews, clinical examinations and structured patient interviews. pDDIs and pDFIs were identified using two DDI databases: Drugs.com Interactions Checker and Stockley’s Interactions Checker.

Results:

We identified 2587 pDDIs (counted with repetitions). Of 627 PwMS, 408 (65.1%) had ⩾ 1 pDDI. Polypharmacy (concomitant use of ⩾ 5 drugs) was found for 334 patients (53.3%). Patients with polypharmacy (Pw/P) were found to have a 15-fold higher likelihood of having ⩾ 1 severe pDDI compared with patients without polypharmacy (Pw/oP) (OR: 14.920, p < 0.001). The most frequently recorded severe pDDI was between citalopram and fingolimod. Regarding pDFIs, ibuprofen and alcohol was the most frequent severe pDFI.

Conclusion:

Pw/P were particularly at risk of severe pDDIs. Age and educational level were found to be factors associated with the occurrence of pDDIs, independent of the number of medications taken. Screening for pDDIs/pDFIs should be routinely done by the clinical physician to increase drug safety and reduce side effects.

Electronic Health Diary Campaigns to Complement Longitudinal Assessments in Persons With Multiple Sclerosis: Nested Observational Study (Preprint)

Background

Electronic health diaries hold promise in complementing standardized surveys in prospective health studies but are fraught with numerous methodological challenges.

Objective

The study aimed to investigate participant characteristics and other factors associated with response to an electronic health diary campaign in persons with multiple sclerosis, identify recurrent topics in free-text diary entries, and assess the added value of structured diary entries with regard to current symptoms and medication intake when compared with survey-collected information.

Methods

Data were collected by the Swiss Multiple Sclerosis Registry during a nested electronic health diary campaign and during a regular semiannual Swiss Multiple Sclerosis Registry follow-up survey serving as comparator. The characteristics of campaign participants were descriptively compared with those of nonparticipants. Diary content was analyzed using the Linguistic Inquiry and Word Count 2015 software (Pennebaker Conglomerates, Inc) and descriptive keyword analyses. The similarities between structured diary data and follow-up survey data on health-related quality of life, symptoms, and medication intake were examined using the Jaccard index.

Results

Campaign participants (n=134; diary entries: n=815) were more often women, were not working full time, did not have a higher education degree, had a more advanced gait impairment, and were on average 5 years older (median age 52.5, IQR 43.25-59.75 years) than eligible nonparticipants (median age 47, IQR 38-55 years; n=524). Diary free-text entries (n=632; participants: n=100) most often contained references to the following standard Linguistic Inquiry and Word Count word categories: negative emotion (193/632, 30.5%), body parts or body functioning (191/632, 30.2%), health (94/632, 14.9%), or work (67/632, 10.6%). Analogously, the most frequently mentioned keywords (diary entries: n=526; participants: n=93) were “good,” “day,” and “work.” Similarities between diary data and follow-up survey data, collected 14 months apart (median), were high for health-related quality of life and stable for slow-changing symptoms such as fatigue or gait disorder. Similarities were also comparatively high for drugs requiring a regular application, including interferon beta-1a (Avonex) and glatiramer acetate (Copaxone), and for modern oral therapies such as fingolimod (Gilenya) and teriflunomide (Aubagio).

Conclusions

Diary campaign participation seemed dependent on time availability and symptom burden and was enhanced by reminder emails. Electronic health diaries are a meaningful complement to regular structured surveys and can provide more detailed information regarding medication use and symptoms. However, they should ideally be embedded into promotional activities or tied to concrete research study tasks to enhance regular and long-term participation.

Objective medication adherence and persistence in people with multiple sclerosis: a systematic review, meta-analysis, and meta-regression

BACKGROUND: Medication adherence is critical for the realization of pharmacotherapy benefits and reduced healthcare expenditure. Studies have shown up to 60% of people with Multiple sclerosis (MS) experience suboptimal medication adherence, which is associated with poorer health outcomes and subsequent discontinuation. The current systematic review reported on objectively measured adherence and discontinuation rates for self-administered oral and injectable disease-modifying therapies (DMTs). OBJECTIVES: To identify whether, in people with MS, the introduction of oral DMTs has improved medication adherence when compared with injectable DMTs. The secondary aim was to report synthesized objectively measured medication adherence and persistence rates for both oral and injectable DMTs in MS across varying study durations. METHODS: Literature searches were conducted through PubMed, Web of Science, Scopus, and PsycINFO. Inclusion criteria were limited to English, peer-reviewed, objective, self-administered DMT articles, published between July 1993 to December 2019. Publications reporting combined intravenous and self-administered DMT data, or that did not account for DMT switching in discontinuation rates, were excluded. Data were synthesized into observation lengths ranging from less than 8 months to greater than 36 months. Meta-analysis and meta-regression were undertaken on both oral and injectable 12-month adherence and discontinuation data. RESULTS: In total, 61 articles were included; 46 articles examined adherence and 26 examined discontinuation. Twelve-month adherence ranged between 53.0% to 89.2% for oral (N = 7) and 47.0% to 77.4% for injectable DMTs (N = 7). Results from the meta-analysis and meta-regression show significantly higher pooled mean medication possession ratio (MPR) adherence for oral DMTs (91.0%) when compared to injectable DMTs (77.0%) over 12 months (β = -0.146; 95% CI: -0.263 to -0.029). Results indicate major asymmetry across studies (LFK index: -5.18), proposing the presence of significant publication bias. Mean discontinuation over 12 months was between 10.5% to 33.3% for oral (N = 7) and 15.2% to 50.8% for injectable DMTs (N = 10), with meta-analysis results indicating the presence of significant heterogeneity (I2 Injectable: 99.5%; I2 Oral: 93.1%) between studies included in each subgroup. However, no appreciable difference in mean discontinuation rates across groups (Injectable: 27%; 95% Cl: 19.0%-34.0%; Oral: 24%; 95% CI: 17.0%-31.0%) was found. CONCLUSIONS: Medication adherence for oral DMTs suggests a significant improvement compared to adherence for injectable DMTs. No significant difference in discontinuation rates between oral and injectable DMTs was found. Oral DMT adherence and persistence studies are limited, given their relatively recent introduction. Suboptimal medication adherence and discontinuation issues remain present for both oral and injectable DMTs. Future studies would benefit from improved consistency in methodology, such as comparable adherence and persistence definitions. DISCLOSURES: The authors did not receive any funding for this study. Mardan and Hussain have nothing to disclose. Grech reports grants from Merck Pharmaceutical, outside the submitted work. Allan reports grants received from Merck Pharmaceutical outside the submitted work. Allan holds advisory board and consulting positions with Merck and advisory board positions for Bristol Myers Squibb and Novartis, for which Monash Institute of Neurological Diseases receives consulting fees.

Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review

OBJECTIVES

Persons with multiple sclerosis (MS) can face a number of potential healthcare-related barriers, for which mobile health (mHealth) technology can be potentially beneficial. This review aimed to understand the frequency, current uses, and potential barriers with mHealth usage among persons with MS.

METHODS

A query string was used to identify articles on PubMed, MEDLINE, CINAHL, and IEEE Xplore that were published in English between January 2010 and December 2019. Abstracts were reviewed and selected based on a priori inclusion and exclusion criteria. Fifty-nine peer-reviewed research studies related to the study questions are summarized.

RESULTS

The majority of persons with MS were reported as using smartphones, although rates of mHealth utilization varied widely. mHealth usage was grouped into 3 broad categories: (1) disability and symptom measurement; (2) interventions and symptom management; and (3) tracking and promoting adherence. While there have been an increasing number of mHealth options, certain limitations associated with MS (eg, poor dexterity, memory problems) may affect usage, although including persons with MS in the design process can address some of these issues.

DISCUSSION

Given the increased attention to mHealth in this population and the current need for telehealth and at home devices, it is important that persons with MS and healthcare providers are involved in the development of new mHealth tools to ensure that the end product meets their needs. Considerations for addressing the potential mHealth use barriers in persons with MS are discussed.

What are the important design features of personal health records to improve medication adherence for patients with long-term conditions? A systematic literature review

OBJECTIVES

This systematic literature review aims to identify important design features of the electronic personal health record (PHR) that may improve medication adherence in the adult population with long-term conditions.

DATA SOURCES

PubMed (including MEDLINE), CINAHL, Science Direct (including EMBASE), BioMed Central, ACM digital, Emerald Insight, Google Scholar and Research Gate.

METHODS

Studies that were published between 1 January 2002 and 31 May 2018 in English were included if the participants were adults, with at least one long-term condition, were able to self-administer their medication and were treated in primary care settings. The quality of evidence was assessed with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system and the risk of bias was appraised using the Cochrane risk of bias tool.

RESULTS

From a total of 27 studies that matched the inclusion criteria, 12 were excluded due to low quality of evidence, 10 were rated moderate and 5 were rated high quality. All the included studies had low sample size and limited follow-up duration. Thirteen of the included studies found that the use of a PHR has increased medication adherence. The identified design features are reminders, education, personalisation and tailoring, feedback and alerts, gamification, medication management, medical appointment management, diary and self-monitoring, health condition management, set goals, patient's blog and tethered. It was impossible to draw conclusions as to which feature is important to what group of patients and why. The most frequently identified conditions were HIV and diabetes. This review did not identify any papers with negative results. It was not possible to numerically aggregate the PHR effect due to high heterogeneity of the medication adherence measurement, study type, participants and PHRs used.

CONCLUSION

Although we found recurrent evidence that PHRs can improve medication adherence, there is little evidence to date to indicate which design features facilitate this process.

PROSPERO REGISTRATION NUMBER

CRD42017060542.

Polypharmacy in patients with multiple sclerosis: a gender-specific analysis

Background

Multiple sclerosis (MS) affects about three times more women than men. Due to variable MS courses, multiple therapies are necessary in clinical practice.

Objective

We aimed at conducting sex-specific analyses of MS patients regarding polypharmacy (≥ 5 drugs) and at identifying differences in the medication spectrum.

Methods

Clinico-demographic data were gathered from 306 patients using clinical examinations, structured patient interviews, and patient records. Statistical data analyses were performed to evaluate whether the same or different factors are associated with polypharmacy in both genders.

Results

Women (N = 218) and men (N = 88) showed similar polypharmacy rates (56.0% vs. 58.0%; p = 0.799). For both genders, higher age, severe disability degrees, comorbidities, and inpatient treatment were significantly associated with a higher polypharmacy risk. Low educational levels were predictors of polypharmacy only in women. Fampridine (p < 0.021) and antispasmodics (p < 0.010) were used more often by men, while women took more frequently thyroid medications (p < 0.001) and contraceptives (p < 0.001). The age-related increase in medication use was much stronger in women (p < 0.001).

Conclusion

Male and female MS patients with older age, comorbidities, higher disability degree, and inpatient treatment are at greater risk of polypharmacy. Future studies should examine the occurrence of clinically relevant drug interactions in MS patients stratified by sex.

Drug-use patterns and severe adverse events with disease-modifying drugs in patients with multiple sclerosis: a cohort study based on German claims data

Purpose: To describe drug-use patterns in patients with multiple sclerosis (MS) using disease-modifying drugs (DMDs) and to estimate the incidence of severe adverse events (SAEs) of treatment. Methods: We conducted a cohort study within the German Pharmacoepidemiological Research Database between January 1, 2006 and December 31, 2013. MS patients on DMDs were described in terms of clinical characteristics and drug-use patterns. Next, we assessed the incidence of AEs in new users of fingolimod, natalizumab, glatiramer acetate, and IFNβ_1a. Results: Among approximately 11 million insured members of German Statutory Health Insurance, the DMD-user cohort comprised 15,377 patients with MS, with a mean age of 39.6 years and 68% females. Nearly half of all DMD users had a diagnosis of depression, with prevalence ranging from 40.1% for IFNβ_1a to 62.3% for immunoglobulins. The overall rate of MS relapses per patient and year was 0.34 (95% CI 0.33-0.34). During an average follow-up of 1,650 days, the majority (42.4%) of MS patients were adherent to DMD treatment ("continuous single users"), followed by patients interrupting treatment (39.5%, "interrupters"). Switch of DMD treatment (11.9%) was less frequent, and only 5.6% discontinued treatment. Treatment discontinuation was most common in users of natalizumab (7.5%) and IFNβ_1b (7.0%). The most frequent SAE was hospitalization for depression, followed by any infectious disease and any malignancy. The incidence rate of all adverse events did not significantly differ across different DMDs. Conclusion: Treatment discontinuation with DMDs and treatment switch were rare. Causes of rather frequent DMD-treatment interruption have to be evaluated in further studies based on primary data collection. Active safety monitoring of new DMDs based on claims data requires large data sets to detect rare AEs and availability of up-to-date data.

Bayesian hierarchical vector autoregressive models for patient-level predictive modeling

Predicting health outcomes from longitudinal health histories is of central importance to healthcare. Observational healthcare databases such as patient diary databases provide a rich resource for patient-level predictive modeling. In this paper, we propose a Bayesian hierarchical vector autoregressive (VAR) model to predict medical and psychological conditions using multivariate time series data. Compared to the existing patient-specific predictive VAR models, our model demonstrated higher accuracy in predicting future observations in terms of both point and interval estimates due to the pooling effect of the hierarchical model specification. In addition, by adopting an elastic-net prior, our model offers greater interpretability about the associations between variables of interest on both the population level and the patient level, as well as between-patient heterogeneity. We apply the model to two examples: 1) predicting substance use craving, negative affect and tobacco use among college students, and 2) predicting functional somatic symptoms and psychological discomforts.

Improving multiple sclerosis management and collecting safety information in the real world: the MSDS3D software approach

INTRODUCTION

For safety evaluation, randomized controlled trials (RCTs) are not fully able to identify rare adverse events. The richest source of safety data lies in the post-marketing phase. Real-world evidence (RWE) and observational studies are becoming increasingly popular because they reflect usefulness of drugs in real life and have the ability to discover uncommon or rare adverse drug reactions.

AREAS COVERED

Adding the documentation of psychological symptoms and other medical disciplines, the necessity for a complex documentation becomes apparent. The collection of high-quality data sets in clinical practice requires the use of special documentation software as the quality of data in RWE studies can be an issue in contrast to the data obtained from RCTs. The MSDS3D software combines documentation of patient data with patient management of patients with multiple sclerosis. Following a continuous development over several treatment-specific modules, we improved and expanded the realization of safety management in MSDS3D with regard to the characteristics of different treatments and populations.

EXPERT OPINION

eHealth-enhanced post-authorisation safety study may complete the fundamental quest of RWE for individually improved treatment decisions and balanced therapeutic risk assessment. MSDS3D is carefully designed to contribute to every single objective in this process.

Baseline predictors of persistence to first disease-modifying treatment in multiple sclerosis

OBJECTIVES

Patients with multiple sclerosis (MS) require lifelong therapy. However, success of disease-modifying therapies is dependent on patients' persistence and adherence to treatment schedules. In the setting of a large multicenter observational study, we aimed at assessing multiple parameters for their predictive power with respect to discontinuation of therapy.

MATERIALS AND METHODS

We analyzed 13 parameters to predict discontinuation of interferon beta-1b treatment during a 2-year follow-up period based on data from 395 patients with MS who were treatment-naïve at study onset. Besides clinical characteristics, patient-related psychosocial outcomes were assessed as well.

RESULTS

Among patients without clinically relevant fatigue, males showed a higher persistence rate than females (80.3% vs 64.7%). Clinically relevant fatigue scores decreased the persistence rate in men and especially in women (71.4% and 51.2%). Besides gender and fatigue, univariable and multivariable analyses revealed further factors associated with interferon beta-1b therapy discontinuation, namely lower quality of life, depressiveness, and higher relapse rate before therapy initiation, while higher education, living without a partner, and higher age improved persistence.

CONCLUSIONS

Patients with higher grades of fatigue and depressiveness are at higher risk to prematurely discontinue MS treatment; especially, women suffering from fatigue have an increased discontinuation rate.

Autoinjector preference among patients with multiple sclerosis: results from a national survey

PURPOSE

Autoinjectors are well-established in supporting multiple sclerosis (MS) therapy. This market survey was aimed at investigating patients' rating of three devices for subcutaneous interferon beta formulations: the electronic autoinjectors Betaconnect^® and RebiSmart™ as well as the mechanical ExtaviPro™ device.

PATIENTS AND METHODS

Organization and conduction of structured face-to-face interviews in five German cities were managed through an independent external market research company. After questionnaire validation (n=15), 85 participants currently either using the Betaconnect (n=39), the RebiSmart (n=36) or the ExtaviPro injector (n=10) were asked 22 questions in the same order. First, patients named their current device in use, watched the corresponding instruction video, and were queried about their device. Second, patients were asked about their opinion of an ideal autoinjector. Third, instruction videos for the two non-used devices were presented and participants could dummy-inject into a pillow. Last, patients evaluated device features and indicated their preferred autoinjector.

RESULTS

Before having been presented the two other autoinjectors not in use, evaluation of patients' satisfaction with their own device revealed that 82% of the Betaconnect users, 67% of the RebiSmart and 60% of the ExtaviPro users were highly satisfied. All patients desired some improvement of their own device particularly concerning optimization of size and handling. Subsequent to testing and watching instruction videos of all devices, the Betaconnect received the best rating regarding different functions. Finally, participants indicated their preferred autoinjector, provided their own medication was suitable for all three devices: 56.5% of the participants (n=48/85) chose the Betaconnect, 36.5% the RebiSmart (n=31/85), and 5% the ExtaviPro device (n=4/85); 2% did not answer (n=2/85).

CONCLUSION

In this survey, the Betaconnect device was the preferred autoinjector and may currently best meet patients' needs. As it was closest to participants' opinion of an ideal device, the Betaconnect might contribute to treatment adherence. Our results need to be confirmed in further studies.

Comparative evaluation of patients' and physicians' satisfaction with interferon beta-1b therapy

Background

Due to the preventive nature of disease-modifying therapies for multiple sclerosis, treatment success particularly depends on adherence to therapeutic regimens and patients’ perception of treatment efficacy. The latter is strongly influenced by the confidence in the involved health care professionals and the relationship to the treating physician.

Methods

In this report, we considered physicians’ and patients’ evaluation of satisfaction with interferon beta-1b treatment efficacy for assessing the congruence in ratings. Data were queried in a study conducted between 2009 and 2013.

Results

After 6 months of therapy, > 80 % of the patients and physicians (N = 445) showed high degrees of satisfaction regarding interferon beta-1b treatment, with only few physicians and patients (≤2.0 %) rating “not satisfied”. The proportion of patients rating with the same category as their physicians was similar after 6 months (47 % congruence) and at the 24 months/study end visit (49 %). Discrepancies between ratings were observed with respect to study end: for patients with premature study end, more patients and physicians rated being not satisfied with the therapy, accompanied by a considerably lower congruence of 33 % compared to 54 % for patients receiving the therapy for at least 2 years and completing the study regularly.

Conclusions

Regular communication between physicians and patients about their perception of therapy might improve alignment of treatment evaluation and could result in increased therapy persistence. In addition, patients’ willingness to perform a long-term therapy − even in the absence of disease symptoms − might be promoted by repeated exchange between health care providers and patients with regard to realistic treatment expectations.

Trial registration

ClinicalTrials.gov NCT00902135 (registered May 13, 2009).

Electronic supplementary material

The online version of this article (doi:10.1186/s12883-016-0705-1) contains supplementary material, which is available to authorized users.