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Background. Non-medical medication switches can lead to difficult conversations. To support pharmacy staff, a communication training has been developed based on two strategies: (1) 'positive message framing' to emphasize positive elements of the message and (2) 'breaking bad news model' to break the news immediately and address emotions. Aim. To assess how patients and trained pharmacy staff experience the application of communication strategies for non-medical medication switch conversations and which are barriers and facilitators for the application. Method. The Kirkpatrick training evaluation model (level 3 (‘behavior’, including barriers and facilitators) and 4 (‘results’) was used. Trained pharmacy staff registered conversation characteristics and asked patients to fill in a questionnaire. Semi-structured interviews with trained participants were conducted. Quantitative data were analyzed using descriptive statistics and interview data was analyzed thematically. Results. Of the 39 trained participants, 21 registered characteristics of 71 conversations, 31 patients filled in questionnaires, and 13 trained participants were interviewed. Level 3: participants self-reported they applied (aspects of) the strategies, though indicated this was not (yet) a standard process. Interviewees indicated signs of increased patient contact and job satisfaction. Time, face-to-face conversations, colleague support, and patient cooperation were facilitators. Level 4: participants were satisfied with most conversations (89%) post-training, particularly with addressing emotions (74%). Patients were (very) positive (77%) about the communication, particularly about clear explanations about the switch. Conclusion. Pharmacy staff’s learned behavior includes being able to apply aspects of the strategies. The training results show first signs of better patient-pharmacy staff relationships and increased job satisfaction.

Background: Non-medical medication switches, a change to another medicine or medication label not motivated by medical reasons, occur frequently. Switches often lead to negative patient emotions, such as confusion and anger. Pharmacy staff's communication, i.e. delivering the message and addressing patients' emotions is crucial, but experienced as difficult.Objective: To develop and test a communication training for the pharmacy team to facilitate medication switch conversations.Methods: A communication training was developed based on the 'breaking bad news model' and 'positive message framing' strategies, and incorporating needs and preferences from practice. The training consisted of an e-learning with theory and reflective exercises, a half-day live training session, and an online reflection session. The Kirkpatrick training evaluation model (levels one 'reaction' and two 'learning') was used to evaluate the training. Quantitative data were analyzed using descriptive statistics and interview data was transcribed verbatim and analyzed thematically.Results: Twelve pharmacists and 27 pharmacy technicians from 15 Dutch pharmacies participated in the training. According to Kirkpatrick's model level one, the major learning outcome was to give space to patients to express their emotions and/or concerns (e.g. more silences in the conversations). For level two, most participants valued practicing the conversations, role-playing, and receiving feedback. The majority of the participants indicated that they had sufficient tools and practice during the live training to apply the strategies in daily practice. A few participants still needed time and practice, or missed examples to apply the strategies.Conclusion: The communication training based on the two strategies was well-received and participants felt well-equipped post-training. The take-away for participants was to give space to patients to express their emotions. Using these strategies and skills, pharmacy teams can tailor their medication counseling to patients' emotions and concerns during non-medical medication switches to better support patients in proper medication use.

IntroductionAbout 70% of patients with asthma and/or chronic obstructive pulmonary disease (COPD) use their inhaled medication incorrectly, leading to reduced disease control, higher healthcare use and costs. Adequate guidance from the pharmacy team from first dispense onwards can benefit patients in the long run. We propose an intervention (‘On TRACk’) to improve medication adherence and inhaler technique of adult patients with asthma and/or COPD. This intervention focuses on training pharmacy technicians (PTs) in patient-centred communication and inhalation instruction skills. In addition, patients are actively involved in refill consultations at the pharmacy. The aim of this study is to improve inhaler technique and better inhaled medication adherence among patients with asthma and/or COPD. This paper describes the study protocol.Methods and analysisA cluster randomised controlled trial (RCT) with an intervention and control group of 15 pharmacies each will be conducted. Per intervention pharmacy, two PTs will be trained online. Each PT will include five patients who will prepare their second and third dispense counselling sessions by selecting three topics they wish to discuss. Pharmacies in the control cluster provide usual care. In total, 300 patients (150 per group) will be included. Up to 12 months after inclusion, patients complete 3-monthly follow-up questionnaires. Both a process evaluation and a cost-effectiveness analysis will be performed alongside the trial. Trial effectiveness on the patient level will be evaluated after the 12-month follow-up period.Patient data will be collected through questionnaires and pharmacy refill data. Patients’ inhaler technique will be visually assessed by PTs. Semistructured interviews with PTs and patients will be conducted regarding implementation and fidelity. Direct and indirect health costs will be collected to assess cost-effectiveness.The primary outcome is adherence to inhalation maintenance medication measured with pharmacy refill data. Secondary outcomes are inhaler technique, persistence, patients’ attitudes towards medication, self-efficacy in medication use and communication with their PTs.Ethics and disseminationThe study was approved by the Vrije Universiteit Amsterdam Ethics Committee (number: 2020.358). Results will be presented at (inter)national conferences and published in peer-reviewed journals. If proven to be (cost-)effective, the intervention should be considered for reimbursement and implementation in Dutch community pharmacies.Trial registration numberNL9750.

IntroductionThe Assessment of Burden of Chronic Conditions (ABCC) tool is developed and validated to support and facilitate a personalised approach to care for people with chronic conditions. The benefit of using the ABCC-tool greatly depends on how it is implemented. To enable a deeper understanding of when, how and by whom the ABCC-tool is used, this study protocol describes the design of an implementation study in which the context, experiences and implementation process of the ABCC-tool by primary care healthcare providers (HCPs) in the Netherlands will be investigated.Methods and analysisThis protocol describes an implementation study alongside an effectiveness trial, in which the ABCC-tool is evaluated in general practices. The implementation strategy of the tool in the trial confines to providing written information and an instruction video explaining the technical use of the ABCC-tool. The outcomes include a description of: (1) the barriers and facilitators of HCPs for implementation of the ABCC-tool, guided by the Consolidated Framework for Implementation Research (CFIR) and (2) the implementation outcomes guided by the Reach-Effect-Adoption-Implementation-Maintenance (RE-AIM) framework Carroll’s fidelity framework. All outcomes will be gathered through individual semistructured interviews throughout 12 months of use. Interviews will be audiorecorded and transcribed. Transcripts will be analysed using content analysis for identifying barriers and facilitators (based on CFIR) and thematic analyses of HCPs’ experiences (based on the RE-AIM and the fidelity frameworks).Ethics and disseminationThe presented study was approved by the Medical Ethics Committee of Zuyderland Hospital, Heerlen (METCZ20180131). Written informed consent is mandatory prior to participation in the study. The results from the study in this protocol will be disseminated through publication in peer-reviewed scientific journals and conference presentations.

Upscaling of medication adherence interventions to routine care is still challenging. This realist theory-inspired review aimed to assess which intervention aspects are potentially important for the scalability of effective cardiovascular disease (CVD) medication adherence interventions and how they are reported in effectiveness studies. A total of 4097 articles from four databases were screened of which ultimately 31 studies were included. Relevant information on scalability was extracted using a theoretic framework based on the scalability assessment tool used in the QUALIDEC study for the following domains: (i) innovation, (ii) implementers and patients, (iii) adopting organizations and health system, and (iv) socio-political context. Extracted articles were analysed for themes and chains of inference, which were grouped based on commonality and source of evidence to form new hypotheses. Six different domains relevant for scalability of adherence interventions were identified: (1) Complexity of the intervention; (2) training; (3) customization of the intervention; (4) drivers of the intervention; (5) technical interventions; and (6) stakeholder involvement. These six domains might be useful for the development of more scalable interventions by bridging the gap between research and practice. Data relevant for scalability is not well reported on in effectiveness trials for CVD medication adherence interventions and only limited data on scalability has been published in additional papers. We believe the adoption and reach of effective CVD medication adherence interventions will improve with increased awareness for the necessity of scalability in all phases of intervention development.

Background Compared to men, women have lower treatment rates for cardiovascular disease (CVD), are at higher risk for medication non-adherence and have different reasons for being non-adherent. The aim of this study was to synthesize and evaluate gender-specific adherence-promoting interventions for cardiovascular medication and gender-specific effects of gender-neutral interventions. Methods A systematic literature search was performed in PubMed, Embase, PsycINFO, CINAHL and Cochrane Library from January 2007 to October 2019. Intervention studies (with control group) aimed at improving cardiovascular medication adherence with minimally 14 weeks follow-up were included. Two reviewers independently screened titles and abstracts. Full text was obtained for selected abstracts and screened for final inclusion. Data extraction included gender-specific targeting or analysis. Results The search identified 6502 citations. After screening title and abstract, full text was obtained from 127 potentially eligible articles. Ultimately, 11 articles were included that analyzed gender differences in gender-neutral interventions. Two reported a gender-specific intervention effect. Using an electronic reminder device, one study increased statin adherence in women. The other found a larger increase in adherence to CVD medication following telephone counseling for men than women. Nine studies did not identify a gender-specific effect. Conclusion Despite differences in levels of and reasons for non-adherence, most studies addressing adherence did not analyze potential differences in effect by gender. Moreover, none of the identified studies used gender-specific adherence promoting interventions. Increasing awareness about gender differences in adherence might lead to better tailoring of interventions to gender-specific needs and better results in improving adherence.

Om patiënten met astma/COPD een goede start te geven bij het gebruik van inhalatiemedicatie ontwikkelde het Nivel de On TRACk-interventie. Hierin worden twee succesvolle interventies gecombineerd: online communicatietraining en gespreksvoorbereiding. Na een succesvolle pilot volgt nu een uitgebreider onderzoek, dat moet uitwijzen of therapietrouw en inhalatietechniek door On TRACk verbeteren.

Purpose The purpose of this feasibility study was to improve and implement an intervention aimed at enhancing medication adherence in sub-optimally controlled and non-adherent type 2 diabetes (T2DM) patients in primary care. Methods Four phases were completed: (1) context analysis, (2) collaboration protocol development, (3) digitalization, and (4) process evaluation. Two community pharmacies and seven general practices participated. In phase 1, two focus groups were conducted, of which one with healthcare providers (HCP, N = 5) and one with patients (N = 11). In phase 4, four semi-structured interviews and one focus group (N = 6) were conducted with healthcare providers. The goal of these focus groups and interviews was to obtain insights into current care to support medication adherence (phase 1), opportunities for collaboration (phase 2) and process evaluation (phase 4). Data were analyzed in Atlas.ti using thematic analyses. Results Both T2DM patients and HCPs considered medication adherence vital. Suboptimal collaboration between HCPs and unreliable ways to monitor medication non-adherence appeared important barriers for adequate care to support medication adherence (phase 1). The nurse practitioner (NP) was chosen as the interventionist with supportive roles for other HCPs (phase 2). All components of the intervention were digitalized (phase 3). The implementation of the digitalized intervention was reported to be suboptimal (phase 4). Main reasons were that pharmacy refill data were unreliable, NPs experienced difficulties addressing medication non-adherence adequately and collaboration between HCPs was suboptimal. Conclusions The medication adherence enhancing intervention was successfully digitalized, but implementation of the digitalized intervention appeared not feasible as of yet.

Purpose To describe nurses' support interventions for medication adherence, and patients' experiences and desired improvements with this care. Patients and methods A two-phase study was performed, including an analysis of questionnaire data and conducted interviews with members of the care panel of the Netherlands Patients Federation. The questionnaire assessed 14 types of interventions, satisfaction (score 0-10) with received interventions, needs, experiences, and desired improvements in nurses' support. Interviews further explored experiences and improvements. Data were analyzed using descriptive statistics and a thematic analysis approach. Results Fifty-nine participants completed the questionnaire, and 14 of the 59 participants were interviewed. The satisfaction score for interventions was 7.9 (IQR 7-9). The most common interventions were: "noticing when I don't take medication as prescribed" (n = 35), "helping me to find solutions to overcome problems with using medications" (n = 32), "helping me with taking medication" (n = 32), and "explaining the importance of taking medication at the right moment" (n = 32). Fifteen participants missed ≥1 of the 14 interventions. Most mentioned the following: "regularly asking about potential problems with medication use" (33%), "regularly discussing whether using medication is going well" (29%), and "explaining the importance of taking medication at the right moment" (27%). Twenty-two participants experienced the following as positive: improved self-management of adequate medication taking, a professional patient-nurse relationship to discuss adherence problems, and nurses' proactive attitude to arrange practical support for medication use. Thirteen patients experienced the following as negative: insufficient timing of home visits, rushed appearance of nurses, and insufficient expertise about side effects and taking medication. Suggested improvements included performing home visits on time, more time for providing support in medication use, and more expertise about side effects and administering medication. Conclusion Overall, participants were satisfied, and few participants wanted more interventions. Nurses' support improved participants' self-management of medication taking and enabled patients to discuss their adherence problems. Adequately timed home visits, more time for support, and accurate medication-related knowledge are desired.

Background: Although patients have different treatment preferences, these individual preferences could often be grouped in subgroups with shared preferences. Knowledge of these subgroups as well as factors associated with subgroup membership supports health care professionals in the understanding of what matters to patients in clinical decision-making. Objectives: To identify subgroups of patients with rheumatoid arthritis (RA) based on their shared preferences toward disease-modifying antirheumatic drugs (DMARDs), and to identify factors associated with subgroup membership. Methods: A discrete choice experiment to determine DMARD preferences of adult patients with RA was designed based on a literature review, expert recommendations, and focus groups. In this multicenter study, patients were asked to state their preferred choice between two different hypothetical treatment options, described by seven DMARD characteristics with three levels within each characteristic. Latent class analyses and multinomial logistic regressions were used to identify subgroups and the characteristics (patient characteristics, disease-related variables, and beliefs about medicines) associated with subgroup membership. Results: Among 325 participating patients with RA, three subgroups were identified: an administration-driven subgroup (45.6%), a benefit-driven subgroup (29.7%), and a balanced subgroup (24.7%). Patients who were currently using biologic DMARDs were significantly more likely to belong to the balanced subgroup than the administration-driven subgroup (relative risk ratio (RRR): 0.50, 95% CI: 0.28–0.89). Highly educated patients were significantly more likely to belong to the benefit-driven subgroup than the balanced subgroup (RRR: 11.4, 95% CI: 0.97–133.6). Patients’ medication-related concerns did not contribute significantly to subgroup membership, whereas a near-significant association was found between patients’ beliefs about medication necessity and their membership of the benefit-driven subgroup (RRR: 1.12, 95% CI: 1.00–1.23). Conclusion: Three subgroups with shared preferences were identified. Only biologic DMARD use and educational level were associated with subgroup membership. Integrating patient’s medication preferences in pharmacotherapy decisions may improve the quality of decisions and possibly medication adherence.

Background Medication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited. Objective The aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions. Methods MEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient’s caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group. Results Of the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (P 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies “to teach medication management skills,” “to improve health care quality by coordinating medication adherence care between professionals,” and “to facilitate communication or decision making between patients and health care providers” also showed strong evidence for a positive effect. Conclusions Overall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients’ treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.

Aim: This study reports the development and validation of a new self-report measure (MPRAQ) that assesses practical barriers to medication adherence. Methods: MPRAQ comprises fifteen statements describing practical barriers. Responses are scored on a 5-point Likert scale; higher scores indicate more practical barriers. Initial face validity was evaluated by cognitive testing with patients from a diabetes support group. Following refinement, internal reliability and construct validity were assessed in two samples: patients recruited via Amazon mTurk and the Nivel Dutch Healthcare Consumer Panel (COPA). Respondents completed the Beliefs about Medicines Questionnaire (BMQ - general and specific), and Medication Adherence Report Scale (MARS-5). The mTurk sample also completed the Perceived Sensitivity to Medicines questionnaire (PSM), and repeated MPRAQ two weeks later to assess test-retest reliability. Results: Face validity was evaluated in 15 patients (46% female; mean (SD) age 64(12) years). A total of 184 mTurk participants completed the questionnaire (in English) and 334 in COPA (in Dutch). Internal reliability was acceptable (mTurk α=0.89; COPA α=0.94). Construct validity was confirmed, with significant correlation between MPRAQ and BMQ-Specific Concerns (mTurk r=0.546, p

The pharmacy counter is a good place to identify and discuss medication-related problems. However, there is a lack of practical communication tools to support pharmacy technicians (PTs) in initiating a conversation with patients. This study aimed to develop and test a practical set of questions for PTs, called TRIAGE, to identify problems during encounters. TRIAGE was developed based on insight from the literature, focus groups with PTs and pharmacists, and input from patients and experts. In 10 community pharmacies, 17 PTs used TRIAGE during encounters with patients who collected their cardiovascular medication. For each encounter, PTs registered the identified problems and suggested solutions. A total of 105 TRIAGE conversations were held, 66 for first refill and 39 for follow-up refill prescriptions. In 15 (23%) first refill prescription encounters, a problem was identified. These problems concerned forgetting to take the medication, a complex medication regime or (fear of) side effects. In three (8%) follow-up refill prescription encounters, a problem was identified. Most of the problems were solved on the spot. Pharmacy technicians indicated that they identified medication-related problems with TRIAGE that otherwise would be left unnoticed. They appreciated TRIAGE as a useful instrument for starting the conversation with patients about medication use.

BACKGROUND Medication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited. OBJECTIVE The aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions. METHODS MEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient’s caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group. RESULTS Of the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (P 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies “to teach medication management skills,” “to improve health care quality by coordinating medication adherence care between professionals,” and “to facilitate communication or decision making between patients and health care providers” also showed strong evidence for a positive effect. CONCLUSIONS Overall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients’ treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.

Background Low inhaled corticosteroid (ICS) adherence is associated with increased asthma burden. This relationship is likely bidirectional, and may vary across adherence stages (initiation, implementation, and persistence). Studies rarely examine reciprocal influences. Objective To investigate the relationship between ICS implementation and asthma-related outcomes over 2 years, considering bidirectionality and temporal sequence. Methods Primary care records (1987-2012) from the Optimum Patient Care Research Database, United Kingdom, were used. Eligible patients were 6 years or older and had 3 or more years of continuous registration starting 1 year before ICS initiation (index date), physician-diagnosed asthma, 2 or more ICS and/or short-acting β-agonist prescriptions each follow-up year, and no long-acting β-agonists, leukotriene receptor antagonists, or maintenance oral corticosteroids in the preceding year. ICS implementation (percentage of days covered) and risk domain asthma control (RDAC; no asthma-related hospitalizations, emergency visits, or outpatient visits and no oral corticosteroid or antibiotic prescriptions with evidence of respiratory review) were estimated for each prescription interval (period between 2 successive prescriptions). Multilevel analyses modeled bidirectional relationships between ICS implementation and RDAC (and its components), controlling for sociodemographic and clinical characteristics. Results In prescription data from 10,472 patients, ICS implementation in the preceding interval did not predict RDAC, but was weakly positively associated with simultaneous RDAC. Being male, non–current smoker, without chronic obstructive pulmonary disease diagnosis, and with fewer than 4 comorbidities significantly increased odds of RDAC. Asthma-related antibiotics and outpatient visits in the same interval and short-acting β-agonist overuse in the preceding and same interval predicted lower ICS implementation. Conclusions Patients may adapt their ICS use to their current needs without this impacting later RDAC.

Background Although patients have different treatment preferences, these individual preferences could often be grouped in subgroups with shared preferences. Knowledge of these subgroups as well as factors associated with subgroup membership supports health care professionals in the understanding of what matters to patients in clinical decision-making. Objectives To identify subgroups of patients with rheumatoid arthritis (RA) based on their shared preferences toward disease-modifying antirheumatic drugs (DMARDs), and to identify factors associated with subgroup membership. Methods A discrete choice experiment to determine DMARD preferences of adult patients with RA was designed based on a literature review, expert recommendations, and focus groups. In this multicenter study, patients were asked to state their preferred choice between two different hypothetical treatment options, described by seven DMARD characteristics with three levels within each characteristic. Latent class analyses and multinomial logistic regressions were used to identify subgroups and the characteristics (patient characteristics, disease-related variables, and beliefs about medicines) associated with subgroup membership. Results Among 325 participating patients with RA, three subgroups were identified: an administration-driven subgroup (45.6%), a benefit-driven subgroup (29.7%), and a balanced subgroup (24.7%). Patients who were currently using biologic DMARDs were significantly more likely to belong to the balanced subgroup than the administration-driven subgroup (relative risk ratio (RRR): 0.50, 95% CI: 0.28–0.89). Highly educated patients were significantly more likely to belong to the benefit-driven subgroup than the balanced subgroup (RRR: 11.4, 95% CI: 0.97–133.6). Patients’ medication-related concerns did not contribute significantly to subgroup membership, whereas a near-significant association was found between patients’ beliefs about medication necessity and their membership of the benefit-driven subgroup (RRR: 1.12, 95% CI: 1.00–1.23). Conclusion Three subgroups with shared preferences were identified. Only biologic DMARD use and educational level were associated with subgroup membership. Integrating patient’s medication preferences in pharmacotherapy decisions may improve the quality of decisions and possibly medication adherence.

ObjectiveThis study aims to explore the contribution of implicit attitudes and associations towards conventional disease-modifying antirheumatic drugs (cDMARDs), alongside explicit measures, on medication-taking behaviour and clinical outcomes in adult patients with rheumatoid arthritis (RA).MethodsIn this observational study, implicit attitudes (positive-negative) and health-related associations (health-sickness) were measured with Single Category Implicit Association Tests, whereas explicit outcomes were measured with a bipolar evaluative adjective scale and the Beliefs about Medicines Questionnaire Specific. The primary outcome of this study was medication-taking behaviour subjectively measured by self-report (i.e. validated Compliance Questionnaire on Rheumatology) and objectively measured with electronic drug monitors over a 3 month period. Spearman rank correlations were used to describe correlations between implicit and explicit outcomes. Nested linear regression models were used to assess the additional value of implicit measures over explicit measures and patient-, clinical-, and treatment-related characteristics.ResultsOf the 1659 initially-invited patients, 254 patients with RA agreed to participate in this study. Implicit attitudes correlated significantly with necessity-concerns differential (NCD) scores (ρ = 0.13, P = 0.05) and disease activity scores (ρ = -0.17, P = 0.04), whereas implicit health-related associations correlated significantly with mean scores for explicitly reported health-related associations (ρ = 0.18, P = 0.004). Significant differences in age, number of DMARDs, biologic DMARD use, NCD-scores, and self-reported correct dosing were found between the four attitudinal profiles. Nested linear regression models revealed no additional value of implicit measures in explaining self-reported medication-taking behaviour and clinical outcomes, over and above all other variables.ConclusionImplicit attitudes and associations had no additional value in explaining medication-taking behaviour and clinical outcomes over and above often used explicitly measured characteristics, attitudes and outcomes in the studied population. Only age and NCD scores contributed significantly when the dependent variable was correct dosing measured with self-report

Elke GE Mathijssen,1 Milou van Heuckelum,2 Liset van Dijk,3 Marcia Vervloet,3 Simone MT Zonnenberg,1 Johanna E Vriezekolk,1 Bart JF van den Bemt2 1Department of Rheumatology, Sint Maartenskliniek, Nijmegen, the Netherlands; 2Department of Rheumatology and Pharmacy, Sint Maartenskliniek, Nijmegen, the Netherlands; 3Netherlands Institute for Health Services Research (NIVEL), Utrecht, the Netherlands Objective: To comprehensively describe the identification, refinement, and selection of attributes and levels for a discrete choice experiment (DCE) on preferences of patients with rheumatoid arthritis (RA) regarding disease-modifying antirheumatic drugs (DMARDs). Methods: A mixed-methods approach, consisting of three consecutive steps: a literature review, expert recommendations, and focus groups. Attributes and levels were identified by a scoping review and compiled into a list that was evaluated on its relevance by an expert panel. The list that resulted thereafter was used to inform three focus groups, including 23 patients with RA. New attributes and levels could be identified during the focus groups. Also, a ranking exercise was performed. The patients individually ranked the attributes (ie, the ones on the list and newly identified attributes) by relevance. The patients’ individual rankings were summed to derive a ranking at group level and make an a priori selection of the most relevant attributes. The group discussions were transcribed for qualitative analysis. Results: Nineteen attributes, each specified by two to seven levels, were identified by the scoping review. The expert recommendations resulted in the removal of one attribute. Furthermore, two new attributes and levels were identified and two attributes were split into two. One new attribute was identified during the focus groups. The results of the ranking exercise and qualitative analysis led to the refinement and selection of the following attributes: route of administration, frequency of administration, chance of efficacy, onset of action, risk of serious infections, risk of liver injury, and risk of cancer. Each attribute was specified by three levels. Conclusion: This study contributes to the limited literature on the development of attributes and levels. Future research should pay more attention to a comprehensive description of this process. It ensures transparency and thereby allows researchers to judge a DCE’s quality and generalizability. Keywords: discrete choice experiment, mixed-methods, patient preferences, rheumatoid arthritis, disease-modifying antirheumatic drugs

Background Adherence to disease modifying anti-rheumatic drugs (DMARDs) is suboptimal in rheumatoid arthritis (RA) patients. Adherence rates vary from 30% to 90%,1 which may be partly due to patients‘ preferences regarding treatment benefits and drawbacks of DMARD therapy. Tailoring treatment options to these preferences might motivate patients to adhere to their drugs and eventually improve adherence. Objectives The primary objective is to identify subgroups in RA patients based on their preferences towards DMARD characteristics. The secondary objective is to identify characteristics associated with subgroup membership. Methods A discrete choice experiment (DCE) based on a literature review, expert recommendations and focus groups was used to elicit preferences in RA patients. Patients were asked to state their choice over two different hypothetical treatment options, which were described by seven DMARD characteristics and three levels within each characteristic (e.g. route of administration with the levels: oral, subcutaneous and intravenous). Patients were eligible to participate if they were diagnosed with RA according to the ACR/EULAR 2010 criteria, current user of at least one DMARD, and aged ≥18 years. Latent class analysis was used to identify subgroups based on stated preferences towards DMARD characteristics and multinomial logistic regression was used to identify characteristics (i.e. beliefs about medicines, patient- and disease-related variables) associated with subgroup membership. Results A total of 1317 RA patients were invited to participate in this study with an overall response rate of 24.8% (n=326). Three subgroups with segment sizes of 46.5% (SG1), 24.6% (SG2) and 28.9% (SG3) were found. SG1 was most strongly influenced by chance of efficacy, which contributed for 43.6% in their choice for a DMARD. In contrast with SG1, route of administration, risk of cancer and frequency of administration contributed most in SG2 (relative importance (RI) of 22.3%, 17.0% and 16.2% respectively). In SG3, route of administration (RI:38.2%) contributed most in their choice for a DMARD with a strong preference for tablets/capsules. Current and previous use of other cDMARDs (i.e. leflunomide, azathioprine, ciclosporin or gold therapy) and indifferent (low necessity, low concerns) beliefs were significantly associated with assignment to SG2 (Relative Risk Ratio (RRR) 6.03, p=0.0012, RRR=3.64, p=0.013 and RRR:14.91, p=0.003 respectively). Current and previous use of sulfasalazine, other cDMARDs, medium educational level and (early) retirement were significantly associated with assignment to SG3 (RRR:3.91, p=0.009; RRR:0.34, p=0.010, RRR:3.38, p=0.020, RRR:3.12, p=0.005 and RRR:0.358, p=0.034). Conclusions DCE data revealed that RA patients had different preferences for DMARD characteristics, which resulted in the identification of three subgroups. Integrating preferences of these subgroups in patient-tailored treatment decisions and the effect on medication adherence should be part of future research. Reference [1] Pasma A, et al. Arthritis Res Ther2015;1–10. doi:10.1186/s13075-015-0801-4 Disclosure of Interest None declared

Vervloet M, Meulepas MA, Cals JWL, Eimers M, Van der Hoek LS, Van Dijk L. Minder antibiotica door interventie in FTO. Huisarts Wet 2016;59(12):546-50. Irrationeel antibioticagebruik voor luchtweginfecties is een belangrijke risicofactor voor antibioticaresistentie. Het doel van dit onderzoek is het evalueren van het effect van een interventie met meer componenten gericht op het verminderen van het aantal antibioticavoorschriften voor luchtwegklachten in de huisartsenpraktijk. Dit is een clustergerandomiseerde gecontroleerde trial met een voor- en nameting. We hebben de interventie geimplementeerd via het Farmacotherapeutisch Overleg (FTO), waarin huisartsen met apothekers samenwerken om de farmacotherapie te optimaliseren. We hebben de interventie in vier FTO-groepen (met in totaal 39 huisartsen) uitgezet, bestaande uit de volgende componenten: 1) een communicatietraining voor huisartsen, onder andere betreffende het communiceren over een uitgesteld recept; 2) implementatie van formulariumafspraken over het voorschrijven van antibiotica in het Elektronisch Voorschrijf Systeem (EVS) van huisartsen; 3) elk kwartaal feedback op basis van voorschrijfcijfers voor huisartsen. Vier andere FTO-groepen (met in totaal 38 huisartsen) vormden gematchte controlegroepen. De primaire uitkomstmaat was het aantal antibioticavoorschriften na de interventie (gecontroleerd voor het aantal voorschriften in de voormeting), dat we hebben geanalyseerd met multilevel-regressieanalyses. We analyseerden het totale aantal voorschriften en het aantal voorschriften gestratificeerd naar leeftijd (afkappunt 12 jaar). Bij de voormeting was het gemiddeld aantal antibioticavoorschriften voor luchtwegklachten 207,9 en 176,7 per 1000 patienten in respectievelijk de interventie-FTO-groepen en controle-FTO-groepen. Bij de nameting schreven huisartsen in zowel de interventie- als controlegroepen significant minder antibiotica voor. Voor adolescenten en volwassenen was de afname in het aantal antibioticavoorschriften significant groter in de interventiegroepen (–27,8 per 1000 patienten) dan in de controlegroepen (–7,2 per 1000 patienten; p < 0,05); voor kinderen was er geen verschil. Deze uit meer componenten bestaande interventie was effectief in het terugdringen van het aantal antibioticavoorschriften voor luchtwegklachten voor adolescenten en volwassenen. Om het voorschrijfgedrag van huisartsen voor kinderen te veranderen zullen we naar andere methoden moeten zoeken.

Background Poor adherence to oral antidiabetics has a negative influence on glycaemic control in type 2 diabetes patients. Real Time Medication Monitoring (RTMM) combines real time monitoring of patients' medication use with SMS reminders sent only if patients forget their medication, aiming to improve adherence. This study aimed to investigate the effect of these SMS reminders on adherence to oral antidiabetics in patients using RTMM and investigate patients' experiences with RTMM. Methods Data were collected in a RCT involving 104 type 2 diabetes patients with suboptimal adherence to oral antidiabetics. Fifty-six patients were randomised to receive SMS reminders if they forgot their medication, 48 patients received no reminders. Primary outcome measure was adherence to oral antidiabetics registered with RTMM, measured as: (1) days without dosing; (2) missed doses; (3) doses taken within predefined standardized time windows. Patients' experiences were assessed with written questionnaires. Results Over the six-month study period, patients receiving SMS reminders took significantly more doses within predefined time windows than patients receiving no reminders: 50% vs. 39% within a 1-h window ( p =0.003) up to 81% vs. 70% within a 4-h window ( p =0.007). Reminded patients tended to miss doses less frequently than patients not reminded (15% vs. 19%, p =0.065). Days without dosing were not significantly different between the groups. The majority of patients reported positive experiences with RTMM and SMS reminders. Conclusion RTMM with SMS reminders improves adherence of type 2 diabetes patients, especially the precision with which patients follow their prescribed regimen, and is well accepted by patients. Trial registration Netherlands Trial Register NTR1882.

The Dutch national guideline for Cardiovascular Risk Management advised in 2006 initiation of statin therapy in new patients with simvastatin. After the introduction of this guideline several measures were taken to increase the prescription of simvastatin in general practice. The aim of this paper is to describe the trend and interpractice variation in the relative share of simvastatin in statin prescription over a 7-year period (2003-2009) in Dutch general practices.Data were used from the National Registration Network of General Practice (LINH) in the Netherlands. We used multilevel logistic regression analysis with individuals nested within practices. We evaluated the variance at different time points by the intra-class correlation (ICC).The share of simvastatin prescriptions of all statin prescriptions increased from 40% in 2003 to 82% in 2009. While the ICC was above 20% during the periods 2005 to 2007, it decreased rapidly from 25% in 2007 to only 9% in 2009.Our results indicate that a combination of several intervention measures seems to have been successful. While it seems like the implementation of the guidelines alone had some effect, there was an additional effect when reimbursement measures were implemented. Furthermore, the practice seemed to have affected the adoption of the national CVRM guideline as the variation initially increased after the guideline implementation. By including information on both the proportion of simvastatin prescribed and interpractice variation, we achieved a more complete evaluation of how simvastatin prescription developed over time and how it was related to the different measures taken.

Irrational antibiotic use for respiratory tract infections (RTI) is a major driver of bacterial resistance. The aim of this study was to evaluate the effect of a multifaceted peer-group based intervention aiming to reduce RTI-related antibiotic prescriptions in family practice. This was a cluster randomized controlled trial with pre- and follow-up measurement. The intervention was implemented through PharmacoTherapy Audit Meetings (PTAM) in which family physicians (FPs) and pharmacists collaborate. Four PTAM groups received the intervention consisting of: (1) FP communication skills training, including communication about delayed prescribing; (2) implementation of antibiotic prescribing agreements in FPs’ Electronic Prescribing Systems; (3) quarterly feedback figures for FPs. Four other PTAM groups were matched controls. Primary outcome measure was the number of RTI-related antibiotic prescriptions after the intervention, assessed with multilevel linear regression analyses. Total number and number of prescriptions stratified by age (under/over 12 years) were analysed. At baseline, the average total number of RTI-related antibiotic prescriptions per 1,000 patients was 207.9 and 176.7 in the intervention and control PTAM groups, respectively. At follow-up, FPs in both the intervention and control groups prescribed significantly less antibiotics. For adolescents and adults, the drop in number of antibiotic prescription was significantly larger in the intervention groups (−27.8 per 1,000 patients) than the control groups (−7.2 per 1,000 patients; P

PurposeConsiderable variability in adherence over time exists. The aim of this study was to investigate to what extent deviations from the prescribed regimen in type 2 diabetes patients can be explained by characteristics of the individual ‘medication intake moments’ and the patient.MethodsMedication intake of 104 non-adherent type 2 diabetes patients from 37 community pharmacies was electronically monitored for 6 months. The primary outcome measures were: (1) whether or not the intake occurred and (2) whether or not the intake occurred within the agreed-upon time period (correct timing). Multilevel logistic regression analyses were performed to account for the nested structure of the data.ResultsMedication intakes in the evening and during weekends and holidays were more likely to be incorrectly timed and also more likely to be completely missed. Irrespective of timing, most intakes occurred in the mornings of Monday through Thursday (96 %), and least intakes occurred on Saturday evening (82 %). Correctly timed intakes most often occurred on Monday and Tuesday mornings (61 %) in contrast to Sunday evenings (33 %). A patient’s medication regimen was significantly associated with adherence.ConclusionBased on our results, among patients who already have difficulties in taking their oral antidiabetic medication, interruptions in the daily routine negatively influence the intake of their medication. Professionals need to be aware of this variation in adherence within patients. As regular medication intake is important to maintain glycaemic control, healthcare professionals and patients should work together to find strategies that prevent deviations from the prescribed regimen at these problematic dosing times.Keywords: Medication adherence, Oral antidiabetics, Multilevel modelling, Electronic monitoring

Jacqueline G Hugtenburg,1 Lonneke Timmers,1 Petra JM Elders,2 Marcia Vervloet,3 Liset van Dijk31EMGO+ Institute and Department of Clinical Pharmacology and Pharmacy, VU University Medical Center, Amsterdam, 2ANH-VUmc, VU University Medical Center, Amsterdam, 3NIVEL, Netherlands Institute for Health Services Research, Utrecht, The NetherlandsBackground: Nonadherence with medication is a complex and multidimensional health care problem. The causes may be related to the patient, treatment, and/or health care provider. As a consequence, substantial numbers of patients do not benefit optimally from pharmacotherapy, resulting in increased morbidity and mortality as well as increased societal costs. Several interventions may contribute to improved adherence. However, most interventions have only a modest effect. Thus, despite the many efforts made, there has been little progress made as yet in tackling the problem of nonadherence.Methods: This paper summarizes the definitions and taxonomy of adherence with medication, as well as types and causes of nonadherence. In addition, interventions aimed at improvement of adherence are discussed.Conclusion: There is not just one solution for the nonadherence problem that fits all patients. Most interventions to improve adherence are aimed at all patients regardless of whether they are adherent or not. Recently, a number of tailored interventions have been described in the literature. Modern techniques are useful. Electronic pill boxes combined with Short Message Service reminders are specifically designed to improve unintentional adherence and have resulted in an increase in refill adherence in diabetic patients with suboptimal adherence. Tailored Internet interventions are a possibility for influencing patient drug-taking behavior and show promising results. Tailored counseling interventions targeted at the underlying causes of nonadherence seem an attractive method for supporting patients with their use of drugs. However, despite the plausible theoretical framework, data on long-term health effects of the various interventions are not available. To improve adherence effectively, there is a need for a tailored approach based on the type and cause of nonadherence and the specific needs of the patient.Keywords: adherence, compliance, concordance, tailored intervention

Background: Many patients experience difficulties in adhering to long-term treatment. Although patients' reasons for not being adherent are diverse, one of the most commonly reported barriers is forgetfulness. Reminding patients to take their medication may provide a solution. Electronic reminders (automatically sent reminders without personal contact between the healthcare provider and patient) are now increasingly being used in the effort to improve adherence.Objective: To examine the effectiveness of interventions using electronic reminders in improving patients' adherence to chronic medication.Methods: A comprehensive literature search was conducted in PubMed, Embase, PsycINFO, CINAHL and Cochrane Central Register of Controlled Trials. Electronic searches were supplemented by manual searching of reference lists and reviews. Two reviewers independently screened all citations. Full text was obtained from selected citations and screened for final inclusion. The methodological quality of studies was assessed.Results: Thirteen studies met the inclusion criteria. Four studies evaluated short message service (SMS) reminders, seven audiovisual reminders from electronic reminder devices (ERD), and two pager messages. Best evidence synthesis revealed evidence for the effectiveness of electronic reminders, provided by eight (four high, four low quality) studies showing significant effects on patients' adherence, seven of which measured short-term effects (follow-up period Conclusion: This review provides evidence for the short-term effectiveness of electronic reminders, especially SMS reminders. However, long-term effects remain unclear.

Contains fulltext : 97026.pdf (Publisher’s version ) (Open Access) BACKGROUND: Innovative approaches are needed to support patients' adherence to drug therapy. The Real Time Medication Monitoring (RTMM) system offers real time monitoring of patients' medication use combined with short message service (SMS) reminders if patients forget to take their medication. This combination of monitoring and tailored reminders provides opportunities to improve adherence. This article describes the design of an intervention study aimed at evaluating the effect of RTMM on adherence to oral antidiabetics. METHODS/DESIGN: Randomised Controlled Trial (RCT) with two intervention arms and one control arm involving diabetes type 2 patients with suboptimal levels of adherence to oral antidiabetics (less than 80% based on pharmacy refill data). Patients in the first intervention arm use RTMM including SMS reminders and a personal webpage where they can monitor their medication use. Patients in the second intervention arm use RTMM without SMS reminders or webpage access. Patients in the control arm are not exposed to any intervention. Patients are randomly assigned to one of the three arms. The intervention lasts for six months. Pharmacy refill data of all patients are available from 11 months before, until 11 months after the start of the intervention. Primary outcome measure is adherence to oral antidiabetics calculated from: 1) data collected with RTMM, as a percentage of medication taken as prescribed, and as percentage of medication taken within the correct time interval, 2) refill data, taking the number of days for which oral antidiabetics are dispensed during the study period divided by the total number of days of the study period. Differences in adherence between the intervention groups and control group are studied using refill data. Differences in adherence between the two intervention groups are studied using RTMM data. DISCUSSION: The intervention described in this article consists of providing RTMM to patients with suboptimal adherence levels. This system combines real time monitoring of medication use with SMS reminders if medication is forgotten. If RTMM proves to be effective, it can be considered for use in various patient populations to support patients with their medication use and improve their adherence. TRIAL REGISTRATION: Netherlands Trial Register NTR1882.

BackgroundSince medication nonadherence is considered to be an important health risk, numerous interventions to improve adherence have been developed. During the past decade, the use of Internet-based interventions to improve medication adherence has increased rapidly. Internet interventions have the potential advantage of tailoring the interventions to the needs and situation of the patient. ObjectiveThe main aim of this systematic review was to investigate which tailored Internet interventions are effective in improving medication adherence. MethodsWe undertook comprehensive literature searches in PubMed, PsycINFO, EMBASE, CINAHL, and Communication Abstracts, following the guidelines of the Cochrane Collaboration. The methodological quality of the randomized controlled trials and clinical controlled trials and methods for measuring adherence were independently reviewed by two researchers. ResultsA total of 13 studies met the inclusion criteria. All included Internet interventions clearly used moderately or highly sophisticated computer-tailored methods. Data synthesis revealed that there is evidence for the effectiveness of Internet interventions in improving medication adherence: 5 studies (3 high-quality studies and 2 low-quality studies) showed a significant effect on adherence; 6 other studies (4 high-quality studies and 2 low-quality studies) reported a moderate effect on adherence; and 2 studies (1 high-quality study and 1 low-quality study) showed no effect on patients’ adherence. However, most studies used self-reported measurements to assess adherence, which is generally perceived as a low-quality measurement. In addition, we did not find a clear relationship between the quality of the studies or the level of sophistication of message tailoring and the effectiveness of the intervention. This might be explained by the great difference in study designs and the way of measuring adherence, which makes results difficult to compare. There was also large variation in the measured interval between baseline and follow-up measurements. ConclusionThis review shows promising results on the effectiveness of Internet interventions to enhance patients’ adherence to prescribed long-term medications. Although there is evidence according to the data synthesis, the results must be interpreted with caution due to low-quality adherence measurements. Future studies using high-quality measurements to assess medication adherence are recommended to establish more robust evidence for the effectiveness of eHealth interventions on medication adherence.