Evaluation of the transitional discharge model on use of psychiatric health services: An interrupted time series analysis

The Use of Multifamily Discharge Preparation Groups in the Discharge Process of Patients with Schizophrenia

Background

After acute treatment, patients with schizophrenia return to their original living environment for further rehabilitation, which not only determines the quality of life of the patients and their families but also has an important impact on society. However, patients often find it difficult to adapt to changes in the environment when they are discharged from the hospital. This may be related to the incompleteness of China's mental health service system, as many services for schizophrenia patients are only in the treatment stage. In China, schizophrenia is traditionally associated with poor moral quality, and patients find it difficult to obtain support. Many patients have trouble reintegrating into the community after treatment. Schizophrenic multifamily teams gather families affected by the same illness and pain together to promote healing together in an environment that allows mutual sharing, understanding and transparency, maximizes the use of family resources for support, improves discharge readiness, and better deals with post-discharge recovery.

Methods

The multifamily group intervention method was used to improve the motivation of the patients' family motivation as well as the discharge readiness and self-efficacy of the patient.

Results

After the intervention, the motivation of the family and discharge readiness of the patient were improved compared with that of the baseline period; however, the improvement was not significant. The self-efficacy of the patients was significantly improved (P=0.042).

Conclusions

In the discharge preparation of schizophrenia patients, multifamily teams can be used to help patients and their families share resources, enhance support and prepare for discharge. Patients will have better support following discharge for recovery in the community. Additional consideration should be given to the impact of the environment on patient services, and the evaluation of the service process is key to continuously improving the service effect.

The Consequences of Discontinuing a Home Care Service for Patients with Severe Mental Illness After the COVID-19 Pandemic

Continuity of care has been considered, as a key component of the treatment process, especially after discharge from the hospital. Establishing treatment continuity is critical to achieving successful treatment outcomes. Roozbeh Home Care Program was developed to ensure the continuity of care in patients with severe mental illness. This study aims to investigate the consequences of discontinuing a home care service including; relapse, readmission, service satisfaction, severity and disability, in patients with severe mental illness in Iran. Forty-three patients who received home care service for more than 6 months were included. They were assessed 3 and 6 months after receiving the service; and 12 months after the program discontinuation. There was a significant difference between the hospitalization rate during (0.42 ± 0.64) and 1 year after the program's discontinuation (0.65 ± 1.46). The majority of the caregivers (70%) were highly satisfied with the home care services. Among the patients who received the homecare services, 40.4% were highly satisfied; and 21.2% were moderately satisfied. There was no significant difference between disability (as measured by World Health Organization Disability Assessment Schedule), clinical improvement (as measured by Clinical Global Impression-Improvement Scale), or severity of illness (as measured by Clinical Global Impression Severity of the Illness Scale) during and 1 year after program's discontinuation. During the time of receiving the service, hospitalization rate was reduced. Patients and caregivers were satisfied with the service. Providing psychiatric services at home should be considered as a solution to maintain the continuity of care.

Human Rights of Persons With Mental Illness After the Korean Mental Health Act Revision: A Qualitative Study

After the Constitutional Court of Korea ruled that the provision of involuntary admissions was unconstitutional, as it violates personal freedom, the Mental Health and Welfare Act was amended in 2016. The current study explores involuntary admission and discharge experiences, after the law's revision, from a patient-centered perspective and suggests future directions to protect human rights. Data were collected from seven persons with mental illness and three family members through in-depth individual interviews and analyzed using thematic analysis. Persons with mental illness were still not guaranteed full autonomy and the right to receive proper treatment due to lack of mental health resources. The burden on family caregivers was amplified by stricter admission requirements. These results indicate the need for human rights-friendly emergency services, including peer crisis shelters and procedural assistance services. The government should develop community-based mental health services to ensure continuity of care without imposing public responsibility on family members. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].

Transitional discharge model for community mental health integration: A focused ethnographic study of clients' perspectives

Clients' perceptions of continuous support during the transition from hospital to the community have been understudied. The present study evaluated clients' perceptions of the benefits and potential adjustments to the implementation of a transitional discharge model (TDM), an intervention for community integration of clients with mental health issues. A focused ethnography methodology was used to investigate the effectiveness of the TDM. Data were collected using two sets of focus groups which involved 87 clients with mental illness seeking care from nine hospitals across the Province of Ontario, Canada. One focus group was conducted at six months and another at the one-year time point of the study. Data analysis followed a four-step ethnographic approach proposed by Leininger (1985) for thematic analysis in qualitative research. Four main themes emerged: (i) clients' perceived benefits of the TDM. These came in the form of reassurance about transitioning from hospitalization to community, reduced feelings of isolation, and enhanced continuity of care and recovery, (ii) TDM for community integration; clients believed that the intervention offered suitable friendships, was a tool for social connectedness, and helped to reduce stigma, (iii) encountered challenges, which included issues with trust, perceiving peer supporters as intruders, issues with communication, and initial fears about discharge and (4) suggestions for improving the TDM, such as, more in-person interactions, formalizing the TDM and raising awareness about community resources. The TDM implementation may facilitate the transition from hospital to the community by offering social support that enhances recovery.

Three Statistical Approaches for Assessment of Intervention Effects: A Primer for Practitioners

INTRODUCTION

Statistical methods to assess the impact of an intervention are increasingly used in clinical research settings. However, a comprehensive review of the methods geared toward practitioners is not yet available.

METHODS AND MATERIALS

We provide a comprehensive review of three methods to assess the impact of an intervention: difference-in-differences (DID), segmented regression of interrupted time series (ITS), and interventional autoregressive integrated moving average (ARIMA). We also compare the methods, and provide illustration of their use through three important healthcare-related applications.

RESULTS

In the first example, the DID estimate of the difference in health insurance coverage rates between expanded states and unexpanded states in the post-Medicaid expansion period compared to the pre-expansion period was 5.93 (95% CI, 3.99 to 7.89) percentage points. In the second example, a comparative segmented regression of ITS analysis showed that the mean imaging order appropriateness score in the emergency department at a tertiary care hospital exceeded that of the inpatient setting with a level change difference of 0.63 (95% CI, 0.53 to 0.73) and a trend change difference of 0.02 (95% CI, 0.01 to 0.03) after the introduction of a clinical decision support tool. In the third example, the results from an interventional ARIMA analysis show that numbers of creatinine clearance tests decreased significantly within months of the start of eGFR reporting, with a magnitude of drop equal to -0.93 (95% CI, -1.22 to -0.64) tests per 100,000 adults and a rate of drop equal to 0.97 (95% CI, 0.95 to 0.99) tests per 100,000 per adults per month.

DISCUSSION

When choosing the appropriate method to model the intervention effect, it is necessary to consider the structure of the data, the study design, availability of an appropriate comparison group, sample size requirements, whether other interventions occur during the study window, and patterns in the data.

"People just don't understand their role in it." Collaboration and coordination of care for service users with complex and severe mental health problems

PURPOSE

To explore professionals' and service users' experiences and perceptions of interprofessional collaboration and coordination for service users with complex and severe mental health issues.

DESIGN AND METHODS

A qualitative study involving semi-structured interviews of professionals and individual interviews of service users. Data were analyzed by thematic analysis.

FINDINGS

Participants described challenges and suggested improvements concerning Distribution of roles, responsibilities, and tasks; Communication; and Knowledge and attitudes.

PRACTICE IMPLICATIONS

Mental health nurses and other professional helpers should have a particular focus on common aims, clear division of roles, planning and timing of interventions, and communication with other professionals and service users.

What is the impact of psychiatric decision units on mental health crisis care pathways? Protocol for an interrupted time series analysis with a synthetic control study

BACKGROUND

The UK mental health system is stretched to breaking point. Individuals presenting with mental health problems wait longer at the ED than those presenting with physical concerns and finding a bed when needed is difficult - 91% of psychiatric wards are operating at above the recommended occupancy rate. To address the pressure, a new type of facility - psychiatric decision units (also known as mental health decision units) - have been introduced in some areas. These are short-stay facilities, available upon referral, targeted to help individuals who may be able to avoid an inpatient admission or lengthy ED visit. To advance knowledge about the effectiveness of this service for this purpose, we will examine the effect of the service on the mental health crisis care pathway over a 4-year time period; the 2 years proceeding and following the introduction of the service. We use aggregate service level data of key indicators of the performance of this pathway.

METHODS

Data from four mental health Trusts in England will be analysed using an interrupted time series (ITS) design with the primary outcomes of the rate of (i) ED psychiatric presentations and (ii) voluntary admissions to mental health wards. This will be supplemented with a synthetic control study with the same primary outcomes, in which a comparable control group is generated for each outcome using a donor pool of suitable National Health Service Trusts in England. The methods are well suited to an evaluation of an intervention at a service delivery level targeting population-level health outcome and the randomisation or 'trialability' of the intervention is limited. The synthetic control study controls for national trends over time, increasing our confidence in the results. The study has been designed and will be carried out with the involvement of service users and carers.

DISCUSSION

This will be the first formal evaluation of psychiatric decision units in England. The analysis will provide estimates of the effect of the decision units on a number of important service use indicators, providing much-needed information for those designing service pathways.

TRIAL REGISTRATION

primary registry: isrctn.com Identifying number: ISRCTN77588384 Link: Date of registration in primary registry: 27/02/2020.

PRIMARY SPONSOR

St George's, University of London, Cramner Road, Tooting, SW17 ORE. Primary contact: Joe Montebello.