An Attempt to Stem the Tide: Exploring the Effect of a 90-Day Transitional Care Intervention on Readmissions to an Acute Male Psychiatric Unit in South Africa

Everyday Life after the First Psychiatric Admission: A Portuguese Phenomenological Research

Returning to daily life after psychiatric admission can be difficult and complex. We aimed to explore, describe and interpret the lived experience of returning to everyday life after the first psychiatric admission. We designed this research as a qualitative study, using van Manen's phenomenology of practice. We collected experiential material through phenomenological interviews with 12 participants, from 5 June 2018 to 18 December 2018. From the thematic and hermeneutic analysis, we captured seven themes: (1) (un)veiling the imprint within the self; (2) the haunting memories within the self; (3) from disconnection to the assimilation of the medicated body in the self; (4) from recognition to overcoming the fragility within the self; (5) the relationship with health professionals: from expectation to response; (6) the relationship with others: reformulating the bonds of alterity; (7) the relationship with the world: reconnecting as a sense of self. The results allow us to establish the phenomenon as a difficult, complex, demanding and lengthily transitional event that calls into question the person's stability and ability for well-being and more-being. Thus, implementing structured transitional interventions by health services seems crucial. Mental health specialist nurses can present a pivotal role in establishing a helping relationship with recovery-oriented goals, coordinating patients' transitional care, and assuring continuity of care sensitive to the person's subjective experiences, volitions, and resources.

Measurement of unnecessary psychiatric readmissions in the context of care transition interventions: a scoping review

OBJECTIVE

The objective of this study was to examine how published studies of inpatient to outpatient mental healthcare transition processes have approached measuring unnecessary psychiatric readmissions.

DESIGN

Scoping review using Levac et al's enhancement to Arksey and O'Malley's framework for conducting scoping reviews.

DATA SOURCES

Medline (Ovid), Embase (Ovid), PsycINFO, CINAHL, Cochrane and ISI Web of Science article databases were searched from 1 January 2009 through 28 February 2019.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We included studies that (1) are about care transition processes associated with unnecessary psychiatric readmissions and (2) specify use of at least one readmission time interval (ie, the time period since previous discharge from inpatient care, within which a hospitalisation can be considered a readmission).

DATA EXTRACTION AND SYNTHESIS

We assessed review findings through tabular and content analyses of the data extracted from included articles.

RESULTS

Our database search yielded 3478 unique articles, 67 of which were included in our scoping review. The included articles varied widely in their reported readmission time intervals used. They provided limited details regarding which readmissions they considered unnecessary and which risks they accounted for in their measurement. There were no perceptible trends in associations between the variation in these findings and the included studies' characteristics (eg, target population, type of care transition intervention).

CONCLUSIONS

The limited specification with which studies report their approach to unnecessary psychiatric readmissions measurement is a noteworthy gap identified by this scoping review, and one that can hinder both the replicability of conducted studies and adaptations of study methods by future investigations. Recommendations stemming from this review include (1) establishing a framework for reporting the measurement approach, (2) devising enhanced guidelines regarding which approaches to use in which circumstances and (3) examining how sensitive research findings are to the choice of the approach.

Improving evidence-based grouping of transitional care strategies in hospital implementation using statistical tools and expert review

BACKGROUND

As health systems transition to value-based care, improving transitional care (TC) remains a priority. Hospitals implementing evidence-based TC models often adapt them to local contexts. However, limited research has evaluated which groups of TC strategies, or transitional care activities, commonly implemented by hospitals correspond with improved patient outcomes. In order to identify TC strategy groups for evaluation, we applied a data-driven approach informed by literature review and expert opinion.

METHODS

Based on a review of evidence-based TC models and the literature, focus groups with patients and family caregivers identifying what matters most to them during care transitions, and expert review, the Project ACHIEVE team identified 22 TC strategies to evaluate. Patient exposure to TC strategies was measured through a hospital survey (N = 42) and prospective survey of patients discharged from those hospitals (N = 8080). To define groups of TC strategies for evaluation, we performed a multistep process including: using ACHIEVE'S prior retrospective analysis; performing exploratory factor analysis, latent class analysis, and finite mixture model analysis on hospital and patient survey data; and confirming results through expert review. Machine learning (e.g., random forest) was performed using patient claims data to explore the predictive influence of individual strategies, strategy groups, and key covariates on 30-day hospital readmissions.

RESULTS

The methodological approach identified five groups of TC strategies that were commonly delivered as a bundle by hospitals: 1) Patient Communication and Care Management, 2) Hospital-Based Trust, Plain Language, and Coordination, 3) Home-Based Trust, Plain language, and Coordination, 4) Patient/Family Caregiver Assessment and Information Exchange Among Providers, and 5) Assessment and Teach Back. Each TC strategy group comprises three to six, non-mutually exclusive TC strategies (i.e., some strategies are in multiple TC strategy groups). Results from random forest analyses revealed that TC strategies patients reported receiving were more important in predicting readmissions than TC strategies that hospitals reported delivering, and that other key co-variates, such as patient comorbidities, were the most important variables.

CONCLUSION

Sophisticated statistical tools can help identify underlying patterns of hospitals' TC efforts. Using such tools, this study identified five groups of TC strategies that have potential to improve patient outcomes.

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

WHAT IS KNOWN ON THE SUBJECT?: The period between hospital discharge and community reintegration is a vulnerable time for people with mental illness due to a lack of continuity of care. They are at a high risk of undesired outcomes, including return to hospital. Many transitional models have been developed. It is important to continue evaluating models for improvement and adaptability to different contexts. The transitional discharge model (TDM) is an intervention that incorporates both continued support from hospital staff after discharge and peer support to facilitate a smooth transition. Previous studies have reported positive outcomes such as increased discharges, decreased readmissions, reduced inpatient length of stay and improved quality of life. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Health service use outcomes were examined separately for acute and tertiary care psychiatric units. Previous TDM studies in Canada only examined tertiary care units, but many patients also receive care in acute care units. Although recent studies of different interventions generally reported decreased readmissions, the current study found readmissions increased after TDM and then decreased over time for acute care units, whereas no change was observed for tertiary care units. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Transitional discharge model evidence supports nursing practice based on interpersonal relations and strategies. Nurses need to be aware of peer support resources to facilitate this part of the model. The effectiveness of TDM may be increased by considering the differences in needs of distinct patient groups, such as those discharged from acute versus tertiary care units. ABSTRACT: Introduction The transitional discharge model (TDM) bridges hospital discharge and community living for people receiving psychiatric services. TDM, based on Peplau's theory of interpersonal relations, ensures continued support from hospital staff until a therapeutic relationship is established with community providers and formal peer support. Aim To compare temporal trends in psychiatric health services use before and after TDM implementation within acute and tertiary care psychiatric units in Ontario, Canada. Method Using health administrative databases, monthly discharges from psychiatric units 3 years prior to 2 years after TDM implementation were identified. Median inpatient length of stay (LOS), psychiatric readmission rates and mental health-related emergency department visit rates were compared using segmented regression analyses. Results Among acute care units, median LOS decreased significantly below the projected historical trend following TDM implementation, while readmissions increased significantly and declined thereafter. No significant changes were found for tertiary care units. Discussion Studies on various interventions have shown decreased readmission rates, whereas the trend differed between acute and tertiary care units in this study. Possible reasons include different patient needs and staff practices. Implications for Practice Needs of people from different unit types should be considered when implementing TDM. Nurses should recognize the development of therapeutic relationships and availability of peer support resources.

Interventions to improve discharge from acute adult mental health inpatient care to the community: systematic review and narrative synthesis

Background

The transition from acute mental health inpatient to community care is often a vulnerable period in the pathway, where people can experience additional risks and anxiety. Researchers globally have developed and tested a number of interventions that aim to improve continuity of care and safety in these transitions. However, there has been little attempt to compare and contrast the interventions and specify the variety of safety threats they attempt to resolve.

Methods

The study aimed to identify the evidence base for interventions to support continuity of care and safety in the transition from acute mental health inpatient to community services at the point of discharge. Electronic Databases including PsycINFO, MEDLINE, Embase, HMIC, CINAHL, IBSS, Cochrane Library Trials, ASSIA, Web of Science and Scopus, were searched between 2000 and May 2018. Peer reviewed papers were eligible for inclusion if they addressed adults admitted to an acute inpatient mental health ward and reported on health interventions relating to discharge from the acute ward to the community. The results were analysed using a narrative synthesis technique.

Results

The total number of papers from which data were extracted was 45. The review found various interventions implemented across continents, addressing problems related to different aspects of discharge. Some interventions followed a distinct named approach (i.e. Critical Time Intervention, Transitional Discharge Model), others were grouped based on key components (i.e. peer support, pharmacist involvement). The primary problems interventions looked to address were reducing readmission, improving wellbeing, reducing homelessness, improving treatment adherence, accelerating discharge, reducing suicide. The 69 outcomes reported across studies were heterogeneous, meaning it was difficult to conduct comparative quantitative meta-analysis or synthesis.

Conclusions

The interventions reviewed are spread across a spectrum ranging from addressing a single problem within a single agency with a single solution, to multiple solutions addressing multi-agency problems. We recommend that future research attempts to improve homogeneity in outcome reporting.