Care pathways, engagement and outcomes associated with a recovery-oriented intermediate stay mental health program

Improvements in Hope, Engagement and Functioning Following a Recovery-Focused Sub-Acute Inpatient Intervention: a Six-Month Evaluation

Few studies have examined the post-discharge benefits associated with recover-oriented programs delivered in inpatient and sub-acute mental health settings. The aim of this study was to evaluate the medium-term outcomes of a 6-week sub-acute inpatient intervention program for 27 service users with a diagnosis of serious mental illness (mean age = 33.22 years, 70.4% with a psychosis diagnosis). Recovery data were collected on admission, at discharge, and at 3- and 6-months post-discharge using self-report, collaborative and clinical measures. The three clinician-rated measures (assessing therapeutic engagement, functioning, and life skills) revealed linear improvements from admission to 6-month follow-up (with mean z-change ranging from 0.72 to 1.35), as did the self-reported social connection measure (Mental Health Recovery Star, MHRS; mean z-change: 1.05). There were also curvilinear improvements in self-determination and self-reported MHRS symptom management and functioning scores; however, only modest changes were detected in hope (Herth Hope Index) and MHRS self-belief scores. Change scores based on self-reported and clinician-rated measures tended to be uncorrelated. An exploration of client-level outcomes revealed three recovery trajectory subgroups: transient (21.7%), gradual (34.8%), or sustained (43.5%) improvement; with members of the latter group tending to have longer illness durations. The study's findings are encouraging, to the extent that they demonstrate recovery-focused sub-acute inpatient programs can promote clinical recovery and aspects of personal recovery. However, they also suggest that recovery perspectives differ between clients and clinicians, and that far more work is required to understand the psychological factors that generate and sustain the hope that recovery is possible.

Efficiency of fine scale and spatial regression in modelling associations between healthcare service spatial accessibility and their utilization

BACKGROUND

Healthcare accessibility, a key public health issue, includes potential (spatial accessibility) and realized access (healthcare utilization) dimensions. Moreover, the assessment of healthcare service potential access and utilization should take into account the care provided by primary and secondary services. Previous studies on the relationship between healthcare spatial accessibility and utilization often used conventional statistical methods without addressing the scale effect and spatial processes. This study investigated the impact of spatial accessibility to primary and secondary healthcare services on length of hospital stay (LOS), and the efficiency of using a geospatial approach to model this relationship.

METHODS

This study focused on the ≥ 75-year-old population of the Nord administrative region of France. Inpatient hospital spatial accessibility was computed with the E2SFCA method, and then the LOS was calculated from the French national hospital activity and patient discharge database. Ordinary least squares (OLS), spatial autoregressive (SAR), and geographically weighted regression (GWR) were used to analyse the relationship between LOS and spatial accessibility to inpatient hospital care and to three primary care service types (general practitioners, physiotherapists, and home-visiting nurses). Each model performance was assessed with measures of goodness of fit. Spatial statistical methods to reduce or eliminate spatial autocorrelation in the residuals were also explored.

RESULTS

GWR performed best (highest R2 and lowest Akaike information criterion). Depending on global model (OLS and SAR), LOS was negatively associated with spatial accessibility to general practitioners and physiotherapists. GWR highlighted local patterns of spatial variation in LOS estimates. The distribution of areas in which LOS was positively or negatively associated with spatial accessibility varied when considering accessibility to general practitioners and physiotherapists.

CONCLUSIONS

Our findings suggest that spatial regressions could be useful for analysing the relationship between healthcare spatial accessibility and utilization. In our case study, hospitalization of elderly people was shorter in areas with better accessibility to general practitioners and physiotherapists. This may be related to the presence of effective community healthcare services. GWR performed better than LOS and SAR. The identification by GWR of how these relationships vary spatially could bring important information for public healthcare policies, hospital decision-making, and healthcare resource allocation.