The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry

Working alliance in treating staff and patients with Schizophrenia Spectrum Disorder living in Residential Facilities

OBJECTIVES

Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies.

METHODS

Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning.

RESULTS

Pearson's correlation revealed a positive correlation (ρ = .314; p < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (β = -.50, p = .044), while not being engaged in work or study was associated with lower WAI-T scores (β = -4.17, p = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (β = 5.90, p = .008), while higher psychopathology severity negatively predicted WAI-T (β = -.10, p = .002) and WAI-P ratings (β = -.19, p < .001). Better functioning level positively foresaw WAI-T (β = .14, p < .001) and WAI-P ratings (β = .12, p < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy.

CONCLUSIONS

This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.

[Can intensive home care solve the problem of overcrowded psychiatric beds?]

The growing demand for psychiatric care raises questions about the place and value of alternatives to hospitalization. Community-based intensive care, such as home-based intensive care teams, are models that have been extensively studied and precisely described in international literature. They make it possible to avoid or shorten hospital stays, and have interesting variations for providing access to care in rural areas.

Measuring hospital spatial accessibility using the enhanced two-step floating catchment area method to assess the impact of spatial accessibility to hospital and non-hospital care on the length of hospital stay

Background

Optimal healthcare access improves the health status and decreases health inequalities. Many studies demonstrated the importance of spatial access to healthcare facilities in health outcomes, particularly using the enhanced two-step floating catchment area (E2SFCA) method. The study objectives were to build a hospital facility access indicator at a fine geographic scale, and then to assess the impact of spatial accessibility to inpatient hospital and non-hospital care services on the length of hospital stay (LOS).

Methods

Data concerning older adults (≥75 years) living in the Nord administrative region of France were used. Hospital spatial accessibility was computed with the E2SFCA method, and the LOS score was calculated from the French national hospital activity and patient discharge database. The relationship between LOS and spatial accessibility to inpatient hospital care and to three non-hospital care types (general practitioners, physiotherapists, and home-visiting nurses) was analyzed with linear regression models.

Results

The mean number (standard deviation) of beds per 10,000 inhabitants was 19.0 (10.69) in Medical, Surgical and Obstetrics (MCO) facilities and 5.58 (2.19) in Postoperative and Rehabilitation Care (SSR) facilities, highlighting important variations within the region. Accessibility to hospital services was higher in large urban areas, despite the dense population and higher demand. In 2014, the mean LOS scores were 0.26 for MCO and 0.85 for SSR, but their geographical repartition was non-homogeneous. The linear regression analysis revealed a strong negative and significant association between LOS and non-hospital care accessibility.

Conclusions

This is the first study to measure spatial accessibility to inpatient hospital care in France using the E2SFCA method, and to investigate the relationship between healthcare utilization (LOS score) and spatial accessibility to inpatient hospital care facilities and three types of non-hospital care services. Our findings might help to make decisions about deploying additional beds and to identify the best locations for non-hospital care services. They might also contribute to improve access, and to ensure the best coordination and sustainability of inpatient and outpatient services, in order to better cover the population’s healthcare needs. International studies using multiple consensual indicators of healthcare outcomes and accessibility and sophisticated modeling methods are needed.

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.

Retrospective Analysis of Factors Associated with Long-Stay Hospitalizations in an Acute Psychiatric Ward

Purpose

To evaluate the longest hospitalizations in an acute psychiatric ward [Service of Psychiatric Diagnosis and Treatment (SPDT)] and the related demographic, clinical and organizational variables to understand the factors that contribute to long-stay (LOS) phenomenon. The term “long stay” indicates clinical, social and organizational problems responsible for delayed discharges. In psychiatry, clinical severity, social dysfunction and/or health-care system organization appear relevant factors in prolonging stays.

Patients and Methods

We divided all the SPDT hospitalizations from 1 January 2010 to 31 December 2015 into two groups based on the 97.5^th percentile of duration: ≤36 day (n=3254) and >36 day (n=81) stays, in order to compare the two groups for the selected variables. Comparisons were made using Pearson’s chi-square for categorical data and t-test for continuous variables, the correlation between the LOS, as a dependent variable, and the selected variables was analyzed in stepwise multiple linear regression and in multiple logistic regression models.

Results

The longest hospitalizations were significantly related to the diagnosis of “schizophrenia and other psychosis” (Pearson Chi²=17.24; p=0.045), the presence of moderate and severe aggressiveness (Pearson chi²=29; p=0.000), compulsory treatment (Pearson Chi²=8.05; p=0.005), parenteral or other route administration of psycho-pharmacotherapy (Pearson Chi²=12.91; p=0.007), poli-therapy (Pearson Chi²=6.40; p=0.041), complex psychiatric activities (Pearson Chi²=12.26; p=0.002) and rehabilitative programs (Pearson Chi²=37.05; p=0.000) during the hospitalization and at discharge (Pearson Chi²=29.89; p=0.000). Many demographic and clinical variables were statistically significantly correlated to the LOS at our multiple linear and logistic regression model.

Conclusion

In our sample, clinical illness severity and need for complex therapeutic and rehabilitative treatments were associated with prolonged psychiatric hospitalizations. Understanding this phenomenon can have not only economic but also clinical, ethical and social relevance.

[Staffing levels and patient-related outcomes : Systematic literature review on international evidence]

The objective of this study was to systematically review the international literature with respect to significant links between staffing levels or qualification on the one hand and patient-related outcomes on the other. Of the initial 7778 abstracts identified by means of a complex search strand in PubMed and CINAHL, 51 could finally be included in a qualitative synthesis. A total of nine different patient-related outcome categories with significant associations on an at least ordinally scaled level were distinguished. None of the studies included had a (quasi-)experimental research design. Despite, in some instances, high numbers of cases at multiple sites and efforts to control obvious confounding variables by regression analysis, no evidence-based conclusions for health policy or clinical practice can be drawn from the available observational studies. There is therefore a considerable need for prospective randomized or at least quasi-experimental studies also as accompanying research on novel models of financing.

Do Home-Based Psychiatric Services for Patients in Medico-Social Institutions Reduce Hospitalizations? Pre-Post Evaluation of a French Psychiatric Mobile Team

World Health Organization recommends the implementation of alternatives to full-time hospitalizations. Psychiatric home-care has known a worldwide development in the last 20 years. The psychiatric mobile team for social and medico-social institutions in Saint-Etienne, France, (Equipe mobile d'intervention en établissements Sociaux et Médico-sociaux, ESMS) aims to support professionals from medico-social housing institutions (MSHI) in order to maintain people in housing. The objective of the study was to evaluate the efficiency of home-based interventions to reduce hospitalizations and improve collaboration between psychiatric hospital facilities and MSHI. We used a pre-post study design. A same cohort of patients living in a MSHI one year before intervention and one year after implementation of the ESMS was studied. Hospitalizations were compared between the two periods. A survey was conducted for qualitative evaluation among professionals in MHSI. Sixty-three patients were included. Most patients suffered from psychotic disorders (71%). We found a significant decrease in the mean number of admissions per year from 2,06 to 1,48 (Wilcoxon signed rank test; df64; p = 0,01). Mobile-team interventions included answering phone calls, home visits, coordination meetings, or clinical interviews with patients in inpatient and outpatient services, with an average of 9,3 interventions per patient (SD = 11,4). ESMS was evaluated as "essential" for 73% of 11 professionals from MSHI who answered the questionnaire in May 2017. Assertive Community Treatment and Crisis Resolution Teams are the most studied home-care models in psychiatry. Our results tend to show the efficiency of mobile-team interventions in MSHI, to enhance partnerships.