Shared decision making, aggression, and coercion in inpatients with schizophrenia

A systematic review of interventions to reduce mechanical restraint in adult mental health inpatient settings

Mechanical restraint is a commonly used restrictive practice worldwide, although reducing its use is an international priority. Interventions to reduce mechanical restraint are needed if reducing mechanical restraint is to succeed. Therefore, this systematic review aimed to examine evaluated evidence-based interventions that seek to reduce the incidence of and/or time in mechanical restraint in adult mental health inpatient settings. The JBI framework was used to guide this systematic review. The search strategy included peer-reviewed primary research literature published between 1999 and 2023. Two authors independently conducted the systematic search, selection process and data extraction process. Forty-one studies were included in this review. Using content analysis, we grouped interventions into four categories: (I) calm-down methods, (II) staff resources, (III) legal and policy changes and (IV) changing staff culture. Interventions to reduce mechanical restraint in adult mental health inpatient settings have shown some promise. Evidence suggests that a range of interventions can reduce the incidence of and/or time in mechanical restraint. However, controlled trials were lacking and consensus was lacking across studies. Furthermore, specific findings varied widely, and reporting was inconsistent, hampering the development of interventions for this issue. Further research is needed to strengthen the evidence base for reducing mechanical restraint in mental health inpatient settings.

Premature termination, satisfaction with care, and shared decision-making during home treatment compared to inpatient treatment: A quasi-experimental trial

BACKGROUND

Inpatient equivalent home treatment (IEHT), implemented in Germany since 2018, is a specific form of home treatment. Between 2021 and 2022, IEHT was compared to inpatient psychiatric treatment in a 12-months follow-up quasi-experimental study with two propensity score matched cohorts in 10 psychiatric centers in Germany. This article reports results on the treatment during the acute episode and focuses on involvement in decision-making, patient satisfaction, and drop-out rates.

METHODS

A total of 200 service users receiving IEHT were compared with 200 matched statistical "twins" in standard inpatient treatment. Premature termination of treatment as well as reasons for this was assessed using routine data and a questionnaire. In addition, we measured patient satisfaction with care with a specific scale. For the evaluation of patient involvement in treatment decisions, we used the 9-item Shared Decision Making Questionnaire (SDM-Q-9).

RESULTS

Patients were comparable in both groups with regard to sociodemographic and clinical characteristics. Mean length-of-stay was 37 days for IEHT and 28 days for inpatient treatment. In both groups, a similar proportion of participants stopped treatment prematurely. At the end of the acute episode, patient involvement in decision-making (SDM-Q-9) as well as treatment satisfaction scores were significantly higher for IEHT patients compared to inpatients.

CONCLUSIONS

Compared to inpatient care, IEHT treatment for acute psychiatric episodes was associated with higher treatment satisfaction and more involvement in clinical decisions.

Shared decision making with schizophrenic patients: a randomized controlled clinical trial with booster sessions (DECIDE Study)

BACKGROUND

The treatment of schizophrenia requires a prolonged, multidimensional intervention that includes antipsychotic drugs. Treatment adherence is essential to effectively control the disorder. Shared decision-making (SDM) is a strategy, supported by numerous practical and ethical arguments, that seeks to involve patients in the therapeutic process to improve treatment adherence and satisfaction. The use of this model in mental health has been limited for many intrinsic and extrinsic reasons. The results of clinical trials conducted to date have largely been disappointing, potential due to study design-related limitations.

AIM/QUESTION

To evaluate the efficacy, in terms of treatment adherence and improvement in clinical variables, such as severity of symptoms, days of hospitalization or insight, of a carefully timed SDM model initiated immediately prior to hospital discharge in patients with schizophrenia.

METHODS

Single-blind, randomized clinical trial in an acute psychiatric care unit within the Andalusian Health Department to compare SDM (experimental group) to treatment as usual (TAU; control group) in a sample of patients hospitalized for an acute episode of schizophrenia or schizoaffective disorder. The study was performed between January 2014 and June 2017. The experimental group participated in SDM sessions prior to discharge with regular booster sessions over the one-year follow-up. The health care team responsible for SDM was predisposed to concordance (LatCon II scale) and received specific training in SDM. A hierarchical multiple linear regression analysis was performed to evaluate the factors independently associated with adherence, controlling for sociodemographic, clinical, and admission-related variables. Variables were assessed at admission, discharge and at 3, 6 and 12 months after discharge during the one year follow up. BARS, DAI, WAI-S, COMRADE and PANSS were used to evaluate adherence, attitude to treatment, therapeutic alliance, satisfaction and confidence with decision and clinical status, respectively.

RESULTS

A total of 227 schizophrenic patients hospitalized with acute decompensation were evaluated; of these, 102 met all inclusion criteria and were included in the study. Most patients (95%) had prior experience with antipsychotics and most (82%) had experienced related side effects. Despite randomization, psychopathologic severity was greater in the experimental group, with a mean (SD) PANSS score of 104.08 (80) vs. 93.45 (20.30) (p < 0.05). The final regression model to explain adherence was significant (adjusted R2 = 0.384; F [df= 6] = 4.386; p < 0.001), with a direct, significant and independent association with SDM mediated by the number of booster sessions.

DISCUSSION

Shared decision making with booster sessions appears to increase treatment adherence in patients with severe mental disorders.

IMPLICATION ON PRACTICE

Ethical, practical, and clinical reasons support the use of strategies designed promote the use of long-term, shared decision-making in psychiatric patients, especially in schizophrenia spectrum disorder.

Impact of clinical decision-making participation and satisfaction on outcomes in mental health practice: results from the CEDAR European longitudinal study

The present study aimed to assess: (1) whether a more active involvement of patients is associated with an improvement of clinical symptoms, global functioning, and quality-of-life; and (2) how patients' satisfaction with clinical decisions can lead to better outcome after 1 year. Data were collected as part of the study 'Clinical decision-making and outcome in routine care for people with severe mental illness (CEDAR)', a longitudinal observational study, funded by the European Commission and carried out in six European countries. Patients' inclusion criteria were: (a) aged between 18 and 60 years; (b) diagnosis of a severe mental illness of any kind according to the Threshold Assessment Grid (TAG) ≥ 5 and duration of illness ≥ 2 years; (c) expected contact with the local mental health service during the 12-month observation period; (d) adequate skills in the language of the host countries; and (e) the ability to provide written informed consent. The clinical decision-making styles of clinicians and the patient satisfaction with decisions were assessed using the Clinical Decision Making Style and the Clinical Decision Making Involvement and Satisfaction scales, respectively. Patients were assessed at baseline and 1 year after the recruitment. The sample consisted of 588 patients with severe mental illness, mainly female, with a mean age of 41.69 (±10.74) and a mean duration of illness of 12.5 (±9.27) years. The majority of patients were diagnosed with psychotic (45.75%) or affective disorders (34.01%). At baseline, a shared CDM style was preferred by 70.6% of clinicians and about 40% of patients indicated a high level of satisfaction with the decision and 31% a medium level of satisfaction. Higher participation in clinical decisions was associated with improved social functioning and quality-of-life, and reduced interpersonal conflicts, sense of loneliness, feelings of inadequacy, and withdrawal in friendships after 1 year (p < 0.05). Moreover, a higher satisfaction with decisions was associated with a better quality-of-life (p < 0.0001), reduced symptom severity (p < 0.0001), and a significantly lower illness burden associated with symptoms of distress (p < 0.0001), interpersonal difficulties (p < 0.0001), and problems in social roles (p < 0.05). Our findings clearly show that a higher involvement in and satisfaction of patients with clinical decision-making was associated with better outcomes. More efforts have to be made to increase the involvement of patients in clinical decision-making in routine care settings.

Implementation and staff understanding of shared decision-making in the context of recovery-oriented care across US Veterans Health Administration (VHA) inpatient mental healthcare units: a mixed-methods evaluation

OBJECTIVES

To examine the understanding and practice of shared decision-making (SDM) within the context of recovery-oriented care across Veterans Health Administration (VHA) inpatient mental healthcare units.

DESIGN

VHA inpatient mental health units were scored on the Recovery-Oriented Acute Inpatient Scale (RAIN). Scores on the RAIN item for medication SDM were used to rank each site from lowest to highest. The top 7 and bottom 8 sites (n=15) were selected for additional analyses using a mixed-methods approach, involving qualitative interviews, observation notes and quantitative data.

SETTING

34 VHA inpatient mental health units located in every geographical region of the USA.

PARTICIPANTS

55 treatment team members.

RESULTS

Our results identified an overarching theme of 'power-sharing' that describes participants' conceptualisation and practice of medication decision-making. Three levels of power sharing emerged from both interview and observational data: (1) No power sharing: patients are excluded from treatment decisions; (2) Limited power sharing: patients are informed of treatment decisions but have limited influence on the decision-making process; and (3) Shared-power: patients and providers work collaboratively and contribute to medication decisions. Comparing interview to observational data, only observational data indicating those themes differentiate top from bottom scoring sites on the RAIN SDM item scores. All but one top scoring sites indicated shared power medication decision processes, whereas bottom sites reflected mostly no power sharing. Additionally, our findings highlight three key factors that facilitate the implementation of SDM: inclusion of veteran in treatment teams, patient education and respect for patient autonomy.

CONCLUSIONS

Implementation of SDM appears feasible in acute inpatient mental health units. Although most participants were well informed about SDM, that knowledge did not always translate into practice, which supports the need for ongoing implementation support for SDM. Additional contextual factors underscore the value of patients' self-determination as a guiding principle for SDM, highlighting the role of a supporting, empowering and autonomy-generating environment.

Psychiatry in the Digital Age: A Blessing or a Curse?

Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are catalyzing the development and implementation of new technologies and digital services in psychiatry. Is this transformation a blessing or a curse for psychiatry? To answer this question, we conducted a literature review covering a broad range of new technologies and eHealth services, including telepsychiatry; computer-, internet-, and app-based cognitive behavioral therapy; virtual reality; digital applied games; a digital medicine system; omics; neuroimaging; machine learning; precision psychiatry; clinical decision support; electronic health records; physician charting; digital language translators; and online mental health resources for patients. We found that eHealth services provide effective, scalable, and cost-efficient options for the treatment of people with limited or no access to mental health care. This review highlights innovative technologies spearheading the way to more effective and safer treatments. We identified artificially intelligent tools that relieve physicians from routine tasks, allowing them to focus on collaborative doctor-patient relationships. The transformation of traditional clinics into digital ones is outlined, and the challenges associated with the successful deployment of digitalization in psychiatry are highlighted.