Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis-inspired systematic review.

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.

Provision of and trust in COVID-19 vaccines information: Perspectives of people who have had COVID-19.

AIM: The aim of this study was to understand the provision and need, quality of and trust in COVID-19 vaccines information from the perspectives of people who have had COVID-19 infection. METHOD: People who have had a COVID-19 infection were approached via their general practice and invited to participate in the Nivel Corona Cohort. They completed questionnaires at baseline (Q1), and at three months (Q2). Outcome measures were based on health information-seeking behaviour, as used in the Comprehensive Model of Information Seeking. Antecedents (i.e., gender, age, education level, health literacy) were used from Q1, and one's beliefs and experiences (i.e., trust in the information and healthcare system, how applicable the information is), information carrier factors (i.e., information quality perceptions and via which sources), health-information seeking actions (i.e., decision to vaccinate and information sufficiency) and vaccination status from Q2. Data were analysed using descriptive analyses, analysis of variance tests (F-tests) and χ2 tests with the statistical software STATA. RESULTS: Of the respondents (N = 314), 96% were vaccinated at least once, mostly after having had the virus. Most retrieved information about COVID-19 vaccines on the website of the National Institute for Public Health and the Environment (79%), broader via the internet (56%), or from family and friends (35%). Almost all had trust in the information (89%) and healthcare system (94%). Most found the information applicable to their situation (67%). Moreover, most perceived the information as correct (71%) and did not perceive the information to be misleading (85%), while fewer people found the information reliable (59%) and clear (58%). Overall, the majority indicated that the information met their expectations to make a well-informed decision to vaccinate (89%). CONCLUSION: Different characteristics of people who had COVID-19 and sought information were identified, which is important to offer tailored information. People who had COVID-19 in this study, mainly middle-aged, vaccinated and highly educated, were generally positive about the vaccines information, but overall the reliability and clarity could be improved. This is important for a high vaccination uptake, booster programs and coming pandemics. PATIENT OR PUBLIC CONTRIBUTION: The questionnaire was reviewed by patients who had COVID-19, one of whom is a health services researcher.

Implementing medication adherence interventions in four Dutch living labs; context matters.

BACKGROUND: Despite the abundant availability of effective medication adherence interventions, uptake of these interventions into routine care often lacks. Examples of effective medication adherence interventions include telephone counseling, consult preparation and the teach-back method. Assessing context is an important step in understanding implementation success of interventions, but context is often not reported or only moderately described. This study aims to describe context-specific characteristics in four living labs prior to the implementation of evidence-based interventions aiming to improve medication adherence. METHODS: A qualitative study was conducted within four living labs using individual interviews (n = 12) and focus groups (n = 4) with project leaders and involved healthcare providers. The four living labs are multidisciplinary collaboratives that are early adopters of medication adherence interventions in the Dutch primary care system. Context is defined as the environment or setting in which the proposed change is to be implemented. Interview topics to assess context were formulated based on the 'inner setting' and 'outer setting' domains of the Consolidated Framework for Implementation Research (CFIR). Interviews were recorded and transcribed verbatim. Transcripts were deductively analyzed. RESULTS: A total of 39 community pharmacists, pharmacy technicians, general practitioners and a home care employee participated in the (focus group) interviews. All four living labs proved to be pharmacy-driven and characterized by a high regard for innovation by staff members, a positive implementation climate, high levels of leadership engagement and high compatibility between the living labs and the interventions. Two living labs were larger in size and characterized by more formal communication. Two living labs were characterized by higher levels of cosmopolitanism which resulted in more adaptable interventions. Worries about external policy, most notably lack of reimbursement for sustainment and upscaling of the interventions, were shared among all living labs. CONCLUSIONS: Contextual characteristics of four living labs that are early adopters of medication adherence interventions provide detailed examples of a positive implementation setting. These can be used to inform dissemination of medication adherence interventions in settings less experienced in implementing medication adherence interventions.

Development and validation of a self-report measure of practical barriers to medication adherence: The medication practical barriers to adherence questionnaire (MPRAQ).

AIM: This study reports the development and validation of a new self-report measure, the Medication Practical barriers to Adherence Questionnaire (MPRAQ), which assesses practical barriers to medication adherence. METHODS: The MPRAQ comprises 15 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 BMQ-Specific), and the Medication Adherence Report Scale (MARS-5). The mTurk sample also completed the Perceived Sensitivity to Medicines questionnaire (PSM) and repeated the MPRAQ 2 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 the MPRAQ and BMQ-Specific Concerns (mTurk r = 0.546, P < .0001; COPA r = 0.370, P < .0001), BMQ-General Harm (mTurk r = 0.504, P < 0.0001; COPA r = 0.219, P < .0001), BMQ-General Overuse (mTurk r = 0.324, P < .0001; COPA r = 0.109, P = .047) and PSM (mTurk only r = 0.463, P < .0001), and a negative correlation with MARS-5 (mTurk r = -0.450, P < .0001; COPA r = -0.260, P < .0001). MPRAQ did not correlate with BMQ-Specific Necessity or BMQ-General Benefit. Correlation between MPRAQ baseline and 2-week follow-up scores confirmed test-retest reliability (r = 0.745, P < .0001; n = 52). CONCLUSION: MPRAQ is a reliable and valid self-report measure of practical adherence barriers.

Effect of Interactive eHealth Interventions on Improving Medication Adherence in Adults With Long-Term Medication: Systematic Review.

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<.05). Of these interventions, 9 had at least a small effect size (Cohen d ≥ 0.2) and 3 showed strong odds for becoming adherent in the intervention group (odds ratio > 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.

Communication skills-based training about medication switch encounters: pharmacy staff and patients' experiences.

BACKGROUND: Non-medical medication switches can lead to difficult conversations. To support pharmacy staff, a communication training has been developed based on two strategies: 'positive message framing' to emphasize positive elements of the message and '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 switch conversation characteristics and asked patients to complete a questionnaire. Semi-structured interviews with trained pharmacy staff members were conducted. Quantitative data were analyzed descriptively and interview data were analyzed thematically. RESULTS: Of the 39 trained pharmacy staff members, 21 registered characteristics of 71 conversations and 13 were interviewed; 31 patients completed questionnaires. Level 3: trained pharmacy staff 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 and colleague support were facilitators. Level 4: pharmacy staff members were satisfied with most switch conversations (89%), 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.

Communication during encounters about medication switching: Self-reported experiences of pharmacy technicians and patients.

Background: During conversations about medication switches, pharmacy staff often deliver a message to patients that may lead to negative emotions. In these situations, clear and patient-centered communication is important. Aim: To gain insight into pharmacy technician-patient experiences regarding the communication during medication switching encounters, and in specific to map the needs and preferences of patients and whether pharmacy technicians (PTs) meet these. Method: PTs were invited to fill in a questionnaire via the Dutch Panel on practical research for Pharmacy Employees. Online questionnaires were distributed to adult chronic mediation users in two patient panels. Questionnaires contained questions on how PTs and patients experience the medication switch conversations at the moment (i.e. type of information patients need/receive, timing of information, channel, communication style), and whether the needs and preferences of patients are met. Results: In total, 138 PTs and 4679 patients responded. PTs indicated that they regularly struggle with these conversations due to emotional or negative responses of patients. Most patients expressed the need for information about why the medication switch took place (68%) and about the (same) effect of the medication (61%), while fewer patients currently receive this information (21% and 39%, respectively). Patients also indicated they need verbal information during pick-up/delivery (45%), written information beforehand (29%) and during pick-up/delivery (25%), while patients more often receive verbal information during pick-up (58%), and less frequently receive written information beforehand (6%) and during pick-up/delivery (18%). Conclusion: Communication during medication switch conversations generally goes well. However, there is a difference between what PTs claim they do and what patients experience, e.g. space for questions and patients' satisfaction about this aspect. Dealing with patient emotions is also difficult for PTs. Patients emphasize they need more information than they currently receive, preferably before switching. Matching these needs and preferences can improve patient-centered communication.

Facilitating pharmacy staff's conversations about non-medical medication switches: Development and testing of a communication training.

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.

The impact of trust in healthcare and medication, and beliefs about medication on medication adherence in a Dutch medication-using population.

INTRODUCTION: Trust in healthcare and medication, defined as feelings of reassurance and confidence in the healthcare system or medication, may be a key prerequisite before engaging in the use of medication. However, earlier studies have focussed on beliefs about medication rather than trust as predictors of medication adherence. This study therefore aims to simultaneously explore the relationship of trust in healthcare, medication and beliefs about medication, with medication adherence. METHODS: In a cross-sectional study, an online questionnaire was sent out to 1500 members of the Dutch Health Care Consumer Panel of Nivel in November 2018. Respondents were asked to grade their level of trust in healthcare and medication (scale 1-10). The Beliefs About Medicines Questionnaire (BMQ) for general and specific medication beliefs was used to address beliefs, the Medication Adherence Report Scale (MARS-5) to measure medication adherence. Data were analysed using structural equation modelling (SEM) with a backward stepwise approach. Out of 753 people that completed the questionnaire, 407 people used prescription medication and were included in the analyses. RESULTS: A positive association between trust in medication and medication adherence was found (0.044, p < 0.05). BMQ subscales Overuse (-0.083, p < 0.05), Necessity (0.075, p < 0.05) and Concerns (-0.134, p < 0.01) related with medication adherence. BMQ subscale Harm did not relate to medication adherence. CONCLUSION: Trust in medication and beliefs about medication were both individually associated with medication adherence. Healthcare providers should therefore not only focus on patients' medication beliefs, but also on strengthening patients' trust in medication to improve medication adherence.

Exploration of the effects of an innovative mentalization-based training on patient-centered communication skills of pharmacy staff: A video-observation study.

OBJECTIVE: To explore whether a mentalization-based communication training for pharmacy staff impacts their ability to elicit and recognize patients' implicit and explicit medication related needs and concerns. METHODS: A single-arm intervention pilot study was conducted, in which pre-post video-recordings of pharmacy counter-conversations on dispensed-medication (N = 50 and N = 34, respectively; pharmacy staff: N = 22) were coded. Outcome measures included: detecting needs and concerns, and implicitly and explicitly eliciting and recognizing them. Descriptive statistics and a multi-level logistic regression were conducted. Excerpts of videos with needs or concerns were analyzed thematically on mentalizing attitude aspects. RESULTS: Indications show that patients more often express their concerns in an explicit way post-measurement, just as pharmacy staffs' explicit recognition and elicitation of needs and concerns. This was not seen for patients' needs. No statistically significant differences were found for determinants for detecting needs or concerns (i.e., measurement-, professional-type, or interaction). Differences in mentalizing attitude were observed between pre-post-measurements, e.g., more attention for patients. CONCLUSION: This mentalizing training shows the potential of mentalizing to improve pharmacy staff members' explicit elicitation and recognition of patients' medication-related needs and concerns. PRACTICE IMPLICATIONS: The training seems promising for improving patient-oriented communication skills in pharmacy staff. Future studies should confirm this result.

Factors Associated with Patient Trust in the Pharmacy Team: Findings from a Mixed Method Study Involving Patients with Asthma & COPD.

Purpose: The pharmacy team has been shifting its role from primarily dispensing medications to providing patient-centred pharmaceutical care. Establishing a trust relation between the pharmacy team and their patients is fundamental for this new role. This study aimed to (i) identify the level of trust in the pharmacy team among patients with asthma and/or COPD, (ii) assess whether the level of trust patients have in pharmacists differs from their trust in pharmacy technicians, and (iii) identify factors that contribute to building trust in the pharmacy team. Patients and Methods: First, a focus group with six patients with asthma and/or COPD was conducted to explore which aspects they considered significant for establishing trust in the pharmacy team. Subsequently, these insights were used to develop an online questionnaire. A link to the online questionnaire was distributed among patients with asthma and/or COPD. Data were analysed using exploratory factor analyses to identify underlying constructs for trust. Regression analyses were conducted to evaluate whether these constructs affected trust (scale 1-10) in the pharmacy team. Results: A total of 290 patients completed the questionnaire. On average, they rated their trust in the pharmacy team with a score of 7.4 out of 10 (SD: 1.5), almost identical to their trust in the pharmacist and pharmacy technician. Patient trust in pharmacy teams is influenced by their perception of engagement, expertise in medication-related matters, and effective communication. Conclusion: Trust in the pharmacy team was observed as moderately high, indicating that there is room for improvement. Due to the changing role of the pharmacy team, its members should strive to enhance their patient-centred skills ensuring ongoing efforts to build and maintain trust with patients.

Understanding the healthcare providers' perspective for bringing the assessment of burden of chronic conditions tool to practice: a protocol for an implementation study.

INTRODUCTION: The 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 ANALYSIS: This 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 DISSEMINATION: The 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.

Implementation of a Patient Questionnaire in Community Pharmacies to Improve Care for Patients Using Combined Antithrombotic Therapy: A Qualitative Study.

For several indications or combinations of indications the use of more than one antithrombotic agent is required. The duration of combined antithrombotic therapy depends on indication and patient characteristics. This study investigated the use of an antithrombotic questionnaire tool that had been developed for pharmacists to detect patients with possible incorrect combined antithrombotic therapy. The objective of this study was to identify potential barriers and facilitators that could influence the implementation of the developed antithrombotic questionnaire tool in daily community pharmacy practice. A qualitative study was conducted at 10 Dutch community pharmacies in which the antithrombotic questionnaire tool had been used with 82 patients. Semi-structured interviews were conducted with pharmacy staff who used the antithrombotic questionnaire tool. The interview questions to identify barriers and facilitators were based on the Consolidated Framework for Implementation Research. The interview data were analysed using a deductive thematic analysis. Ten staff members from nine different pharmacies were interviewed. Facilitators for implementation were that the questionnaire was easily adaptable and easy to use, as well as the relative short duration to administer the questionnaire. A possible barrier for using the questionnaire was a lower priority for using the questionnaire at moments when the workload was high. The pharmacists estimated that the questionnaire could be used for 70-80% of the patient population and they thought that it was a useful addition to regular medication surveillance. The antithrombotic questionnaire tool can be easily implemented in pharmacy practice. To implement the tool, the focus should be on integrating its use into daily activities. Pharmacists can use this tool in addition to regular medication surveillance to improve medication safety in patients who use combined antithrombotic therapy.

Comprehensibility of a personalized medication overview compared to usual-care prescription drug labels.

Poor understanding of prescription drug label (PDL) instructions can lead to medication errors, suboptimal treatment (side) effects, and non-adherence. A personalized medication hard-copy overview listing PDL instructions and visual information may support patients in their medication use. This study aimed to investigate the comprehensibility of PDL instructions on a personalized medication overview compared to usual-care PDL instructions presented on a medication box. A hypothetical-online-experiment was set up, comparing groups of respondents exposed vs not exposed to the medication overview and who received PDL instructions for three, five, or eight medications. Participants were divided randomly in six groups. Online questionnaires were sent to a stratified sample of 900 members from the Nivel Dutch Healthcare Consumer Panel. Outcome measures included comprehension of instructions for medication use, e.g. how often, dose timing, usage advice and warnings for a medication with simple use instructions (omeprazol) and more complex use instructions (levodopa/carbidopa (L/C)). To analyze differences between experimental conditions ANOVA testing was used. 604 respondents (net response 67%) completed the questionnaires. Respondents exposed (E) to the overview gave a higher proportion of correct answers compared to non-exposed (NE) respondents for usage advice (L/C: mean 0.83, SD 0.4 E; 0.03, SD 0.2 NE, p < 0.001; omeprazol: mean 0.85, SD 0.4 E; 0.10, SD 0.3 NE, p < 0.001). Both groups gave the same proportion of correct answers (mean 0.80, SD 0.4, p = 1.0) for dose timing of omeprazol. More NE respondents gave correct answers for how often (mean 0.85, SD 0.4 NE; mean 0.76, SD 0.4 E, p = 0.02) and dose timing (mean 0.92, SD 0.3 NE; mean 0.86, SD 0.4 E, p = 0.04) of L/C. No differences were found regarding number of medications nor were interaction effects found between the number of medications and information type. As a medication overview contains additional information, it can be a good addition in supporting patients in their medication use compared to usual-care PDLs. Future research should focus on identifying patient groups who might benefit more from a medication overview, by testing the effect of such overview on this group.

Understanding relationships between asthma medication use and outcomes in a SABINA primary care database study.

Adherence to inhaled corticosteroids (ICS) in asthma is suboptimal. Patients may rely more on their short-acting beta-agonist (SABA) to control symptoms, which may increase their risk of exacerbations and uncontrolled asthma. Our objective is to describe ICS adherence and SABA use among Dutch primary care patients with asthma, and how these are related to exacerbations and self-reported asthma control. Patients aged ≥12 years diagnosed with asthma who received ≥2 inhalation medication prescriptions in 2016 were selected from the Nivel Primary Care Database. ICS adherence (continuous measure of medication availability), SABA use (number of prescriptions), exacerbations (short courses of oral corticosteroids with daily dose ≥20 mg), and asthma control (self-reported with the Asthma Control Questionnaire; ACQ) were computed. Multilevel logistic regression analyses, to account for clustering of patients within practices, were used to model associations between ICS adherence, SABA use, and asthma outcomes. Prescription data of 13,756 patients were included. ICS adherence averaged 62% (SD: 32.7), 14% of patients received ≥3 SABA prescriptions, and 13% of patients experienced ≥1 exacerbation. Self-reported asthma control was available for 2183 patients of whom 51% reported controlled asthma (ACQ-5 score <0.75). A higher number of SABA prescriptions was associated with a higher risk of exacerbations and uncontrolled asthma, even with high ICS adherence (>90%). ICS adherence was not associated with exacerbations, whilst poor ICS adherence (≤50%) was associated with uncontrolled asthma. In conclusion, increased SABA use is an important and easily identifiable signal for general practitioners to discuss asthma self-management behavior with their patients.

Better use of inhaled medication in asthma and COPD through training, preparation and counselling: the On TRACk study protocol for a cluster randomised controlled trial.

INTRODUCTION: About 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 ANALYSIS: A 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 DISSEMINATION: The 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 NUMBER: NL9750.

Practice variation in a longitudinal perspective: a multilevel analysis of the prescription of simvastatin in general practices between 2003 and 2009.

PURPOSE: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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.

Improving medication adherence in diabetes type 2 patients through Real Time Medication Monitoring: a randomised controlled trial to evaluate the effect of monitoring patients' medication use combined with short message service (SMS) reminders.

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.

Effects of eHealth interventions on medication adherence: a systematic review of the literature.

BACKGROUND: Since 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. OBJECTIVE: The main aim of this systematic review was to investigate which tailored Internet interventions are effective in improving medication adherence. METHODS: We 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. RESULTS: A 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. CONCLUSION: This 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.

Feasibility study of a digitalized nurse practitioner-led intervention to improve medication adherence in type 2 diabetes patients in Dutch primary care.

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.