"Purpose: Nonspecific factors such as therapy alliance and treatment motivation have been shown to be predictive of therapy outcome. However, research investigating these factors among patients with personality disorders, or studies in the context of mandated treatment showed mixed results. A new theory furthermore speculates there may be differences between early formed therapeutic alliance (trait-like) versus alliance formed on the longer term (state-like). This paper aims to investigate the effects of therapy alliance and treatment motivation in 103 Dutch male forensic psychiatric patients with Cluster B personality disorders. Design/methodology/approach: The authors used incidents as a measure of treatment outcome. They studied the effect of nonspecific factors on incidents in two phases, namely, 0 – 18 months and 18 – 36 months, along with known predictors of incidents (age, Historical items of the HCR-20 and psychopathy) as covariates. Findings: Regression models predicting incidents in the first 18 months of treatment were nonsignificant. Incidents in the second 18 months were significantly predicted by models including alliance and motivation measured at the start of treatment, but not measures at 18 months and covariates. Predictors, except for age, were all nonsignificant. Practical implications: These findings lend tentative support for the trait-like vs state-like theory of change through nonspecific factors. However, it may also be that other factors are more important in predicting therapy outcome in forensic psychiatric patients with Cluster B personality disorders. Originality/value: The current study represents the first effort to study the effects of non-specific factors on therapeutic discourse in hospitalized offenders with Cluster B personality disorders."
DOCUMENT
During the past decades deinstitutionalisation policies have led to a transition from inpatient towards community mental health care. Many European countries implement Assertive Community Treatment (ACT) as an alternative for inpatient care for “difficult to reach” children and adolescents with severe mental illness. ACT is a well-organized low-threshold treatment modality; patients are actively approached in their own environment, and efforts are undertaken to strengthen the patient’s motivation for treatment. The assumption is that ACT may help to avoid psychiatric hospital admissions, enhance cost-effectiveness, stimulate social participation and support, and reduce stigma. ACT has been extensively investigated in adults with severe mental illness and various reviews support its effectiveness in this patient group. However, to date there is no review available regarding the effectiveness of youth-ACT. It is unknown whether youth-ACT is as effective as it is in adults. This review aims to assess the effects of youth-ACT on severity of psychiatric symptoms, general functioning, and psychiatric hospital admissions.
DOCUMENT
Abstract Introduction: The factors influencing patients' motivation for undergoing electroconvulsive therapy (ECT) have not yet been subjected to a thorough study. Knowledge of these factors could improve the quality of care for patients with depression recommended to have ECT. Aim: To identify the factors that influence the motivation of patients diagnosed with depression to have ECT. Method: This qualitative study followed a grounded theory approach in which semistructured interviews were conducted with 18 patients from four different psychiatric hospitals to study their perspectives on factors influencing their motivation to have ECT. Results: The explanatory framework of factors influencing motivation for ECT comprises four main categories, starting with the most important category, psychological pain and distress, and continuing with the following categories: perceived need for treatment; perception of ECT as an effective treatment; environmental influences. Discussion: In this study, we found that the psychological pain and distress of depression, and their consequences in daily life, had been the primary experiences that motivated patients to start and continue ECT. Implications for Practice: This is the first study that has examined motivational factors for patients with severe depression to participate in ECT. Professionals appear to have a key role in motivating patients for ECT. They should explore factors that influence motivation for ECT, regularly assess their motivation and intervene on influential factors
DOCUMENT
The aim of this study is to obtain insight, from a patient's perspective, into the results and essential components of treatment in specialist settings for so-called ‘difficult’ patients in mental health care. In cases where usual hospital treatment is not successful, a temporary transfer to another, specialist hospital may provide a solution. We investigated which aspects of specialist treatment available to ‘difficult’ patients are perceived as essential by the patients and what are the results of this treatment in their perception. A qualitative research design based on the Grounded Theory method was used. To generate data, 14 semi-structured interviews were held with 12 patients who were admitted to a specialist hospital in the Netherlands. Almost all respondents rated the results of the specialist treatment as positive. The therapeutic climate was perceived as extremely strict, with a strong focus on structure, cooperation and safety. This approach had a stabilizing effect on the patients, even at times when they were not motivated. Most patients developed a motivation for change, marked by a growing and more explicit determination of their future goals. We concluded that a highly structured treatment environment aimed at patient stabilization is helpful to most ‘difficult’ patients.
DOCUMENT
Abstract: This case study examines the use of an eHealth application for improving preoperative rehabilitation (prehabilitation). We have analysed healthcare professionals' motivators and drivers for adopting eHealth for a surgical procedure at academic medical facilities. The research focused on when and why healthcare professionals are inclined to adopt eHealth applications in their way of working? For this qualitative study, we selected 12 professionals involved in all levels of the organisation and stages of the medical process and conducted semi-structured interviews. Kotter’s transformational change model and the Technology Acceptance Model were used as analytical frameworks for the identification of the motivation of eHealth adoption. The findings suggest that contrary to Kotter’s change model, which argues that adoption of change is based on perceptions and feelings, the healthcare drivers are rational when it comes to deciding whether or not to adopt eHealth apps. This study further elaborates the observation made by the Dutch expertise centre on eHealth, Nictiz, that when the value of an eHealth pplication is clear for a stakeholder, the adoption process accelerates. Analysis of the motivations and drivers of the healthcare professionals show a strong relationship with an evidence-based grounding of usefulness and the responsibility these professionals have towards their patients. We found that healthcare professionals respond to the primary goal of improving healthcare. This is true if the eHealth application will innovate their work, but mainly when the application will improve the patient care they are responsible for. When eHealth applications are implemented, rational facts need to be collected in a study before deployment of eHealth applications on how these applications will improve the patient's health or wellbeing throughout their so-called medical journey for their treatment. Furthermore, the preference to learn about new eHealth applications from someone who speaks from authority through expertise on the subject matter, suggests adoption by healthcare professionals may be accelerated through peers. The result of this study may provide healthcare management with a different approach to their eHealth strategy. Future research is needed to validate the findings in different medical organisational settings such as regional healthcare facilities or for-profit centers which do not necessarily have an innovation focus but are driven by other strategic drivers.
DOCUMENT
Background: Research into termination of long-term psychosocial treatment of mental disorders is scarce. Yearly 25% of people in Dutch mental health services receive long-term treatment. They account for many people, contacts, and costs. Although relevant in different health care systems, (dis)continuation is particularly problematic under universal health care coverage when secondary services lack a fixed (financially determined) endpoint. Substantial, unaccounted, differences in treatment duration exist between services. Understanding of underlying decisional processes may result in improved decision making, efficient allocation of scarce resources, and more personalized treatment.
DOCUMENT
Introduction: Although some adults with autism spectrum disorder (ASD) require intensive and specialized ASD treatment, there is little research on how these adults experience the recovery process. Recovery is defined as the significant improvement in general functioning compared to the situation prior to treatment. Methods: This qualitative study describes the recovery process from the perspective of adults on the autism spectrum during intensive inpatient treatment. Semi-structured interviews (n = 15) were carried out and analyzed according to the principles of grounded theory. Results: Our results indicate that, given the specific characteristics of autism, therapeutic interventions and goal-oriented work cannot be carried out successfully, and the recovery process cannot begin, if no good working relationship has been established, and if care is not organized in ways that a person on the autism spectrum finds clear and predictable.
DOCUMENT
Unhealthy eating behaviors and low levels of physical activity are major problems in adolescents and young adults in vocational education. To develop effective intervention programs, more research is needed to understand how different types of motivation contribute to health behaviors. In the present study, Self-Determination Theory is used to examine how motivation contributes to dietary and physical activity behaviors in vocational students. This cross-sectional study included 809 students (mean age 17.8 ± 1.9 years) attending vocational education in the Netherlands. Linear multilevel regression analyses were used to investigate the association between types of motivation and dietary and physical activity behaviors. Amotivation was negatively associated with breakfast frequency and positively associated with diet soda consumption and high-calorie between-meal snacks. A positive association was found between autonomous motivation and water intake, breakfast frequency, fruit intake, and moderate-to-vigorous physical activity. Autonomous motivation was negatively associated with the consumption of unhealthy products. Controlled motivation was not associated with physical activity or dietary behaviors. Different types of motivation seem to explain either healthy or unhealthy dietary behaviors in vocational students. Autonomous motivation, in particular, was shown to be associated with healthy behaviors and could therefore be a valuable intervention target.
DOCUMENT
Abstract Background: Approximately one-third of all patients with schizophrenia are treatment resistant. Worldwide, undertreatment with clozapine and other effective treatment options exist for people with treatment-resistant schizophrenia (TRS). In this respect, it appears that regular health care models do not optimally fit this patient group. The Collaborative Care (CC) model has proven to be effective for patients with severe mental illness, both in primary care and in specialized mental health care facilities. The key principles of the CC model are that both patients and informal caregivers are part of the treatment team, that a structured treatment plan is put in place with planned evaluations by the team, and that the treatment approach is multidisciplinary in nature and uses evidence-based interventions. We developed a tailored CC program for patients with TRS. Objective: In this paper, we provide an overview of the research design for a potential study that seeks to gain insight into both the process of implementation and the preliminary effects of the CC program for patients with TRS. Moreover, we aim to gain insight into the experiences of professionals, patients, and informal caregivers with the program. Methods: This study will be underpinned by a multiple case study design (N=20) that uses a mixed methods approach. These case studies will focus on an Early Psychosis Intervention Team and 2 Flexible Assertive Community treatment teams in the Netherlands. Data will be collected from patient records as well as through questionnaires, individual interviews, and focus groups. Patient recruitment commenced from October 2020. Results: Recruitment of participants commenced from October 2020, with the aim of enrolling 20 patients over 2 years. Data collection will be completed by the end of 2023, and the results will be published once all data are available for reporting. Conclusions: The research design, framed within the process of developing and testing innovative interventions, is discussed in line with the aims of the study. The limitations in clinical practice and specific consequences of this study are explained.
LINK
BACKGROUND: Blended face-to-face and web-based treatment is a promising way to deliver smoking cessation treatment. Since adherence has been shown to be an indicator of treatment acceptability and a determinant for effectiveness, we explored and compared adherence and predictors of adherence to blended and face-to-face alone smoking cessation treatments with similar content and intensity. OBJECTIVE: The objectives of this study were (1) to compare adherence to a blended smoking cessation treatment with adherence to a face-to-face treatment; (2) to compare adherence within the blended treatment to its face-to-face mode and web mode; and (3) to determine baseline predictors of adherence to both treatments as well as (4) the predictors to both modes of the blended treatment. METHODS: We calculated the total duration of treatment exposure for patients (N=292) of a Dutch outpatient smoking cessation clinic who were randomly assigned either to the blended smoking cessation treatment (n=130) or to a face-to-face treatment with identical components (n=162). For both treatments (blended and face-to-face) and for the two modes of delivery within the blended treatment (face-to-face vs web mode), adherence levels (ie, treatment time) were compared and the predictors of adherence were identified within 33 demographic, smoking-related, and health-related patient characteristics. RESULTS: We found no significant difference in adherence between the blended and the face-to-face treatments. Participants in the blended treatment group spent an average of 246 minutes in treatment (median 106.7% of intended treatment time, IQR 150%-355%) and participants in the face-to-face group spent 238 minutes (median 103.3% of intended treatment time, IQR 150%-330%). Within the blended group, adherence to the face-to-face mode was twice as high as that to the web mode. Participants in the blended group spent an average of 198 minutes (SD 120) in face-to-face mode (152% of the intended treatment time) and 75 minutes (SD 53) in web mode (75% of the intended treatment time). Higher age was the only characteristic consistently found to uniquely predict higher adherence in both the blended and face-to-face groups. For the face-to-face group, more social support for smoking cessation was also predictive of higher adherence. The variability in adherence explained by these predictors was rather low (blended R2=0.049; face-to-face R2=0.076). Within the blended group, living without children predicted higher adherence to the face-to-face mode (R2=0.034), independent of age. Higher adherence to the web mode of the blended treatment was predicted by a combination of an extrinsic motivation to quit, a less negative attitude toward quitting, and less health complaints (R2=0.164). CONCLUSIONS: This study represents one of the first attempts to thoroughly compare adherence and predictors of adherence of a blended smoking cessation treatment to an equivalent face-to-face treatment. Interestingly, although the overall adherence to both treatments appeared to be high, adherence within the blended treatment was much higher for the face-to-face mode than for the web mode. This supports the idea that in blended treatment, one mode of delivery can compensate for the weaknesses of the other. Higher age was found to be a common predictor of adherence to the treatments. The low variance in adherence predicted by the characteristics examined in this study suggests that other variables such as provider-related health system factors and time-varying patient characteristics should be explored in future research. TRIAL REGISTRATION: Netherlands Trial Register NTR5113; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5113.
DOCUMENT
