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.
DOCUMENT
Motivational interviewing (MI) may be an effective intervention to improve medication adherence in patients with schizophrenia. However, for this patient group, mixed results have been found in randomized controlled trials. Furthermore, the process of becoming (more) motivated for long-term medication adherence in patients with schizophrenia is largely unexplored
DOCUMENT
Aims: Medication non-adherence post-discharge is common among patients, especially those suffering from chronic medical conditions, and contributes to hospital admissions and mortality. This study aimed to evaluate the effect of the Cardiac Care Bridge (CCB) intervention on medication adherence post-discharge. Methods: We performed a secondary analysis of the CCB randomized single-blind trial, a study in patients ≥70 years, at high risk of functional loss and admitted to cardiology departments in six hospitals. In this multi-component intervention study, community nurses performed medication reconciliation and observed medication-related problems (MRPs) during post-discharge home visits, and pharmacists provided recommendations to resolve MRPs. Adherence to high-risk medications was measured using the proportion of days covered (PDC), using pharmacy refill data. Furthermore, MRPs were assessed in the intervention group. Results: For 198 (64.7%) of 306 CCB patients, data were available on adherence (mean age: 82 years; 58.9% of patients used a multidose drug dispensing [MDD] system). The mean PDC before admission was 92.3% in the intervention group (n = 99) and 88.5% in the control group (n = 99), decreasing to 85.2% and 84.1% post-discharge, respectively (unadjusted difference: -2.6% (95% CI -9.8 to 4.6, P = .473); adjusted difference -3.3 (95% CI -10.3 to 3.7, P = .353)). Post-hoc analysis indicated that a modest beneficial intervention effect may be restricted to MDD non-users (Pinteraction = .085). In total, 77.0% of the patients had at least one MRP post-discharge. Conclusions: Our findings indicate that a multi-component intervention, including several components targeting medication adherence in older cardiac patients discharged from hospital back home, did not benefit their medication adherence levels. A modest positive effect on adherence may potentially exist in those patients not using an MDD system. This finding needs replication.
LINK
AimsMedication non-adherence post-discharge is common among patients, especially those suffering from chronic medical conditions, and contributes to hospital admissions and mortality. This study aimed to evaluate the effect of the Cardiac Care Bridge (CCB) intervention on medication adherence post-discharge.MethodsWe performed a secondary analysis of the CCB randomized single-blind trial, a study in patients ≥70 years, at high risk of functional loss and admitted to cardiology departments in six hospitals. In this multi-component intervention study, community nurses performed medication reconciliation and observed medication-related problems (MRPs) during post-discharge home visits, and pharmacists provided recommendations to resolve MRPs. Adherence to high-risk medications was measured using the proportion of days covered (PDC), using pharmacy refill data. Furthermore, MRPs were assessed in the intervention group.ResultsFor 198 (64.7%) of 306 CCB patients, data were available on adherence (mean age: 82 years; 58.9% of patients used a multidose drug dispensing [MDD] system). The mean PDC before admission was 92.3% in the intervention group (n = 99) and 88.5% in the control group (n = 99), decreasing to 85.2% and 84.1% post-discharge, respectively (unadjusted difference: −2.6% (95% CI −9.8 to 4.6, P = .473); adjusted difference −3.3 (95% CI −10.3 to 3.7, P = .353)). Post-hoc analysis indicated that a modest beneficial intervention effect may be restricted to MDD non-users (P interaction = .085). In total, 77.0% of the patients had at least one MRP post-discharge.ConclusionsOur findings indicate that a multi-component intervention, including several components targeting medication adherence in older cardiac patients discharged from hospital back home, did not benefit their medication adherence levels. A modest positive effect on adherence may potentially exist in those patients not using an MDD system. This finding needs replication.
DOCUMENT
Results: We observed a variation of factors which seemed to contribute to the active ingredients. Most prevalent was (eliciting) ‘change talk’, but also factors such as ‘experiencing competency’ and ‘changing sense making’. Since mechanisms of change refer to psychological processes within the patient’s mind, it is impossible to observe these. But we recognised clues for mechanisms of change, the most prevalent mechanism was ‘arguing oneself into change’. The most important conversational techniques are reflections and questions addressing medication adherent behaviour or intentions, which was often (in 74% and 69% of the time respectively) followed by change talk. Conclusions: Active ingredients of MI seem to consist of a sufficient combination of factors, to which both patient and therapist contribute. This combination may act as an active ingredient and can trigger mechanisms of change. Our study suggests that in particular the patient factors are a pool of factors from which, after proper activation by therapist factors, different combinations can form active ingredients.
DOCUMENT
Artikel proefschrift Jos Dobber verschenen in Frontiers in Psychiatry 24 maart 2020: Background: Trials studying Motivational Interviewing (MI) to improve medication adherence in patients with schizophrenia showed mixed results. Moreover, it is unknown which active MI-ingredients are associated with mechanisms of change in patients with schizophrenia. To enhance the effect of MI for patients with schizophrenia, we studied MI's active ingredients and its working mechanisms. Methods: First, based on MI literature, we developed a model of potential active ingredients and mechanisms of change of MI in patients with schizophrenia. We used this model in a qualitative multiple case study to analyze the application of the active ingredients and the occurrence of mechanisms of change. We studied the cases of fourteen patients with schizophrenia who participated in a study on the effect of MI on medication adherence. Second, we used the Generalized Sequential Querier (GSEQ 5.1) to perform a sequential analysis of the MI-conversations aiming to assess the transitional probabilities between therapist use of MI-techniques and subsequent patient reactions in terms of change talk and sustain talk. Results: We found the therapist factor “a trusting relationship and empathy” important to enable sufficient depth in the conversation to allow for the opportunity of triggering mechanisms of change. The most important conversational techniques we observed that shape the hypothesized active ingredients are reflections and questions addressing medication adherent behavior or intentions, which approximately 70% of the time was followed by “patient change talk”. Surprisingly, sequential MI-consistent therapist behavior like “affirmation” and “emphasizing control” was only about 6% of the time followed by patient change talk. If the active ingredients were embedded in more comprehensive MI-strategies they had more impact on the mechanisms of change. Conclusions: Mechanisms of change mostly occurred after an interaction of active ingredients contributed by both therapist and patient. Our model of active ingredients and mechanisms of change enabled us to see “MI at work” in the MI-sessions under study, and this model may help practitioners to shape their MI-strategies to a potentially more effective MI.
DOCUMENT
This planned sub-study was part of a prospective intervention study in patients on hemodialysis with a high serum phosphate concentration and high PBM pill burden. Functional, communicative, and critical medication-related HL were assessed using the Recognizing and Addressing Limited Pharmaceutical Literacy interview guide, and self-reported PBM adherence was evaluated using the MARS-5 (Medication Adherence Report Scale-5) questionnaire. Primary outcome was the proportion of patients who perceived difficulties in ≥ 1 HL domain, secondary outcome was the prevalence of perceived difficulties within the HL domains. Exploratory outcome was the association between medication-related HL and self-reported adherence to PBM. Data analysis was performed using descriptive statistics and univariable and multivariable logistic regression. Covariates for logistic regression were age, gender, number of medications, and PBM and total pill burden.
MULTIFILE
Background Medication self-management is complicated for older people. Little is known about older persons’ considerations and decisions concerning medication therapy at home. Objective (s): To explore how older people living at home self-manage their medication and what considerations and decisions underpin their medication self-management behavior. Methods Semi-structured interviews with consenting participants (living at home, aged ≥65, ≥5 different prescription medications daily) were recorded and transcribed with supporting photographs. Content was analyzed with a directed approach and presented according to three phases of medication self-management (initiation, execution, and discontinuation). Results Sixty people were interviewed. In the initiation phase, participants used different techniques to inform healthcare professionals and to fill and check prescriptions. Over-the-counter medication was seldom discussed, and potential interactions were unknown to the participants. Some participants decided to not start treatment after reading the patient information leaflets for fear of side effects. In the execution phase, participants had various methods for integrating the use of new and chronic medication in daily life. Usage problems were discussed with healthcare professionals, but side effects were not discussed, since the participants were not aware that the signs and symptoms of side effects could be medication-related. Furthermore, participants stored medication in various (sometimes incorrect) ways and devised their own systems for ordering and filling repeat prescriptions. In the discontinuation phase, some participants decided to stop or change doses by themselves (because of side effects, therapeutic effects, or a lack of effect). They also mentioned different considerations regarding medication disposal and disposed their medication (in)correctly, stored it for future use, or distributed it to others. Conclusions Participants’ considerations and decisions led to the following: problems in organizing medication intake, inadequate discussion of medication-related information with healthcare professionals, and incorrect and undesirable medication storage and disposal. There is a need for medication self-management observation, monitoring, and assistance by healthcare professionals.
LINK
Risk assessment instruments are widely used to predict risk of adverse outcomes, such as violence or victimization, and to allocate resources for managing these risks among individuals involved in criminal justice and forensic mental health services. For risk assessment instruments to reach their full potential, they must be implemented with fidelity. A lack of information on administration fidelity hinders transparency about the implementation quality, as well as the interpretation of negative or inconclusive findings from predictive validity studies. The present study focuses on adherence, a dimension of fidelity. Adherence denotes the extent to which the risk assessment is completed according to the instrument’s guidelines. We developed an adherence measure, tailored to the ShortTerm Assessment of Risk and Treatability: Adolescent Version (START:AV), an evidence-based risk assessment instrument for adolescents. With the START:AV Adherence Rating Scale, we explored the degree to which 11 key features of the instrument were adhered to in 306 START:AVs forms, completed by 17 different evaluators in a Dutch residential youth care facility over a two-year period. Good to excellent interrater reliability was found for all adherence items. We identified differences in adherence scores on the various START:AV features, as well as significant improvement in adherence for those who attended a START:AV refresher workshop. Outcomes of risk assessment instruments potentially impact decision-making, for example, whether a youth’s secure placement should be extended. Therefore, we recommend fidelity monitoring to ensure the risk assessment practice was delivered as intended.
DOCUMENT
