Total hip arthroplasty (THA) is an orthopedic intervention that generates substantial costs to national healthcare systems due to the number of interventions and the cost per intervention. We performed a cost comparison analysis in Austria and Switzerland.

Data from the national joint arthroplasty register in Switzerland and internal information from the national healthcare services in Austria and Switzerland were compared for patient demographics, interventional characteristics, and costs adjusted for inflation and purchasing power from 2015 to 2021.

The average age for primary THA in Austria was from 67.4 to 67.8 years with 55.9–57.2 percent female patients and from 68.5 to 69.3 years with 52.4–53.8 percent female patients in Switzerland. The annual incidence rate for primary THA rose from 210.28/100k to 216.6/100k in Austria and from 212/100k to 250/100k in Switzerland. After correction for inflation, costs were −1.91 percent lower in Austria in 2021 than in 2015 and −2.57 percent lower in Switzerland. After correction for purchasing power, costs were higher in Austria. The average hospital stay after THA in Austria was reduced by 20 percent (11.7 days/2015 vs. 9.4 days/2021) and 25 percent in Switzerland (8.4 days/2015 vs. 6.4 days/2021). Revision rate was 2.5–3.2 percent in Austria and 2.8–3.2 percent in Switzerland.

The patient population was comparable while patients undergoing primary THA in Austria stay longer in hospital and have relatively higher costs when adjusted for currency, purchasing power, and inflation. The use of standardized registers would be helpful to compare outcomes and costs.

To consider how self-reported physical function measures relate to adverse clinical outcomes measured over 20 years of follow-up in a community-dwelling cohort (aged 59–73 at baseline) as compared with hand grip strength, a well-validated predictor of adverse events.

Recent evidence has emphasized the significant association of physical activity, physical performance, and muscle strength with hospital admissions in older people. However, physical performance tests require staff availability, training, specialized equipment, and space to perform them, often not feasible or realistic in the context of a busy clinical setting.

In total, 2997 men and women were analyzed. Baseline predictors were measured grip strength (Jamar dynamometer) and the following self-reported measures: physical activity (Dallosso questionnaire); physical function score (SF-36 Health Survey); and walking speed. Participants were followed up from baseline (1998–2004) until December 2018 using UK Hospital Episode Statistics and mortality data, which report clinical outcomes using ICD-10 coding. Predictors in relation to the risk of mortality and hospital admission events were examined using Cox regression with and without adjustment for sociodemographic and lifestyle characteristics.

The mean age at baseline was 65.7 and 66.6 years among men and women, respectively. Over follow-up, 36% of men and 26% of women died, while 93% of men and 92% of women were admitted to hospital at least once. Physical activity, grip strength, SF-36 physical function, and walking speed were all strongly associated with adverse health outcomes in both sex- and fully adjusted analyses; poorer values for each of the predictors were related to greater risk of mortality (all-cause, cardiovascular-related) and any, neurological, cardiovascular, respiratory, any fracture, and falls admissions. SF-36 physical function and grip strength were similarly associated with the adverse health outcomes considered.

Although COVID-19 has been associated with psychiatric symptoms in patients, no study to date has examined the risk of hospitalization for psychiatric disorders after hospitalization for this disease.

We aimed to compare the proportions of hospitalizations for psychiatric disorders in the 12 months following either hospitalization for COVID-19 or hospitalization for another reason in the adult general population in France during the first wave of the current pandemic.

We conducted a retrospective longitudinal nationwide study based on the national French administrative healthcare database.

Among the 2,894,088 adults hospitalized, 96,313 (3.32%) were admitted for COVID-19. The proportion of patients subsequently hospitalized for a psychiatric disorder was higher for COVID-19 patients (11.09 vs. 9.24%, OR = 1.20 95%CI 1.18–1.23). Multivariable analyses provided similar results for a psychiatric disorder of any type and for psychotic and anxiety disorders (respectively, aOR = 1.06 95%CI 1.04–1.09, aOR = 1.09 95%CI 1.02–1.17, and aOR = 1.11 95%CI 1.08–1.14). Initial hospitalization for COVID-19 in intensive care units and psychiatric history were associated with a greater risk of subsequent hospitalization for any psychiatric disorder than initial hospitalization for another reason.

Compared with hospitalizations for other reasons, hospitalizations for COVID-19 during the first wave of the pandemic in France were associated with a higher risk of hospitalization for a psychiatric disorder during the 12 months following initial discharge. This finding should encourage clinicians to increase the monitoring and assessment of psychiatric symptoms after hospital discharge for COVID-19, and to propose post-hospital care, especially for those treated in intensive care.

Patients with schizophreniform disorder(SD) and schizophrenia present similar symptoms, however, SD has a shorter duration, varying between at least 1 month and 6 months.

To describe and analyse Schizophreniform disorder related hospitalizations in a national hospitalization database.

We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of schizophreniform diso72.1-der were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) code of diagnosis 295.4x. Birth date, sex, residence address, primary and secondary diagnoses, admission date, discharge date, length of stay (LoS), discharge status, and hospital charges were obtained. Comorbidities were analysed using the Charlson Index Score. Independent Sample T tests were performed to assess differences in continuous variables with a normal distribution and Mann-Whitney-U tests when no normal distribution was registered.

In Portuguese public hospitals, a total of 594 hospitalizations with a primary diagnosis of Schizophreniform disorder were registered during the 8-year study period. Most were associated to the male sex patients, 72.1% (n=428). The mean age at admission was 35.99 years and differed significantly between sexes (males - 34.44; females- 40.19; p<0.001). The median LoS was 17.00 days and the in-hospital mortality was 0.5% (n=3). Only 6.1% (n=36) of the hospitalization episodes had 1 or more registered comorbidities.

Hospitalizations with a primary diagnosis of Schizophreniform disorder occur more frequently in young male patients. This is the first nationwide study analysing all hospitalization episodes in Portugal.

No significant relationships.

Elderly people have always presented physiological changes and suffered from many diseases. There are few studies focused on this growing particular population, especially with mental pathologies. Thus, psychiatric hospitalization of the elderly population is more frequent nowadays.

The aim of this study is to establish the socio-demographic characteristics of elderly patients hospitalized in psychiatry.

Retrospective and descriptive study over a period of 20 years and 6 months on patients aged over 65 years old hospitalized in the psychiatry “B” department of the Hedi Chaker University hospital in Sfax, Tunisia, for a psychiatric disorder, selected according to the DSM 5 diagnosis criteria.

The number of records identified was 62, out of 4019 patients (15.4%). The mean age of patients was 71.1 years old and the sex ratio (Male / Female) = 0.67. Patients were originally from Sfax in 58.1% and from rural areas in 58.1% of cases. Most of patients (78.4%) were living at least with one member of their family. They were married in 53.2% of cases. The average number of children was 5.21. The majority of patients were illiterate (61.3%) and never had a professional activity in 45.2% of cases. Social coverage concerned 96.8% of our sample.

Elderly patients hospitalized in our department were mainly illiterate, females and living with their family. Despite everything, family involvement in care is still necessary for this category of patients.

No significant relationships.

It is important to determine those clinical factors that imply a greater risk of rehospitalization in psychotic patients

To determine the rate and predictors of rehospitalization in psychotic patients after their first hospitalization

We include all Psychotic patients admitted for first time in their life in our Psychiatric Unit between 2009 and 2019 (N=359) , including all diagnosed according DSM-IV of Schizophrenia or other Psychotic disorders -Multiple clinical, sociodemographic and biological variables of the basal hospitalization were recorded With the SPSS program we compared the variables between patients who needed any hospitalization in the follow-up until 31th December 2019 and those who do not. We use the Chi square ( qualitative variables) and the Student T ( quantitative variables)

109 psychotic inpatients had at least one rehospitalizations (30,4%). The qualitative variables significantly associated with rehospitalization were : cannabis in urine at admission (P<0.03), and treatment with risperidone (P<0.014). Instead treatment with long acting paliperidone was associated with absence of rehospitalization (P<0.005) .The quantitative variables relationed significantly with multiple rehospitalization were : lower age (P<0,015) lower HDL cholesterol levels (P<0.02) and higher years of follow-up after discharge (P<0.000)

1-More of 30% of psychotic patients need rehospitalization after their first hospitalization in a mean of follow up of 5,8 years 2-Lower age, longer follow-up period and treatment with risperidone are significantly associated with rehospitalization , instead treatment with long acting paliperidone are significantly associated with absence of rehospitalization

No significant relationships.

Maternal suicide attempts are associated with adverse psychosocial outcomes in children, but the association with chronic morbidity is poorly understood. We examined the relationship between maternal suicide attempt and risk of hospitalization for potentially preventable conditions in offspring.

We analyzed a longitudinal cohort of 1 032 210 children born in Quebec, Canada between 2006 and 2019. The main exposure measure was maternal suicide attempt before or during pregnancy. Outcomes included child hospitalizations for potentially preventable conditions, including infectious diseases, dental caries, atopy, and injury up to 14 years after birth. We used adjusted Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of maternal suicide attempt with risk of hospitalization for these outcomes.

Compared with no suicide attempt, children whose mothers attempted suicide had an increased risk of hospitalization for infectious diseases (HR 1.11, 95% CI 1.06–1.16), dental caries (HR 1.31, 95% CI 1.15–1.48), and injury (HR 1.16, 95% CI 1.03–1.31). Risk of hospitalization for any of these outcomes was greater if mothers attempted suicide by hanging (HR 1.46, 95% CI 1.22–1.75), had their first attempt between the age of 25 and 34 years (HR 1.27, 95% CI 1.13–1.42), and had 3 or more attempts (HR 1.56, 95% CI 1.27–1.91). Maternal suicide attempts were more strongly associated with child hospitalization before 10 years of age.

Children whose mothers have a history of suicide attempt have an elevated risk of hospitalization for potentially preventable conditions.

Discontinuation of antipsychotic medication may be linked to high risk of relapse, hospitalization and mortality. This study investigated the use and discontinuation of antipsychotics in individuals with first-episode schizophrenia in relation to cohabitation, living with children, employment, hospital admission and death.

Danish registers were used to establish a nationwide cohort of individuals ⩾18 years with schizophrenia included at the time of diagnosis in1995–2013. Exposure was antipsychotic medication calculated using defined daily dose and redeemed prescriptions year 2–5. Outcomes year 5–6 were analysed using binary logistic, negative binomial and Cox proportional hazard regression.

Among 21 351, 9.3% took antipsychotics continuously year 2–5, 38.6% took no antipsychotics, 3.4% sustained discontinuation and 48.7% discontinued and resumed treatment. At follow-up year 6, living with children or employment was significantly higher in individuals with sustained discontinuation (OR 1.98, 95% CI 1.53–2.56 and OR 2.60, 95% CI 1.91–3.54), non-sustained discontinuation (OR 1.25, 95% CI 1.05–1.48 and 2.04, 95% CI 1.64–2.53) and no antipsychotics (OR 2.00, 95% CI 1.69–2.38 and 5.64, 95% CI 4.56–6.97) compared to continuous users. Individuals with non-sustained discontinuation had more psychiatric hospital admissions (IRR 1.27, 95% CI 1.10–1.47) and longer admissions (IRR 1.68, 95% CI 1.30–2.16) year 5–6 compared to continuous users. Mortality during year 5–6 did not differ between groups.

Most individuals with first-episode schizophrenia discontinued or took no antipsychotics the first years after diagnosis and had better functional outcomes. Non-sustained discontinuers had more, and longer admissions compared to continuous users. However, associations found could be either cause or effect.

COVID-19 has caused tremendous death and suffering since it first emerged in 2019. Soon after its emergence, models were developed to help predict the course of various disease metrics, and these models have been relied upon to help guide public health policy.

Here we present a method called COVIDNearTerm to “forecast” hospitalizations in the short term, two to four weeks from the time of prediction. COVIDNearTerm is based on an autoregressive model and utilizes a parametric bootstrap approach to make predictions. It is easy to use as it requires only previous hospitalization data, and there is an open-source R package that implements the algorithm. We evaluated COVIDNearTerm on San Francisco Bay Area hospitalizations and compared it to models from the California COVID Assessment Tool (CalCAT).

We found that COVIDNearTerm predictions were more accurate than the CalCAT ensemble predictions for all comparisons and any CalCAT component for a majority of comparisons. For instance, at the county level our 14-day hospitalization median absolute percentage errors ranged from 16 to 36%. For those same comparisons, the CalCAT ensemble errors were between 30 and 59%.

COVIDNearTerm is a simple and useful tool for predicting near-term COVID-19 hospitalizations.

The coronavirus disease 2019 (COVID-19) pandemic has been a global challenge. High mortality rates have been reported in some risk groups, including patients with pre-existing mental disorders.

We used electronic health records to retrospectively identify people infected due to COVID-19 (between March 2020 and March 2021) in the three territories of the Basque Country. COVID-19 cases were defined as individuals who had tested positive on a reverse transcription-polymerase chain reaction (PCR) test. Univariate and multivariate logistic regression models and multilevel analyses with generalized estimated equations were used to determine factors associated with COVID-19-related mortality and hospital admission.

The COVID-19 mortality rate was increased for patients with psychotic disorders [odds ratio (OR) adjusted: 1.45, 95% confidence interval (CI) (1.09–1.94), p = 0.0114] and patients with substance abuse [OR adjusted: 1.88, 95% CI (1.13–3.14, p < 0.0152)]. The mortality rate was lower for patients with affective disorders [OR adjusted: 0.80, 95% CI (0.61–0.99), p = 0.0407]. Hospital admission rates due to COVID-19 were higher in psychosis [OR adjusted: 2.90, 95% CI (2.36–3.56), p < 0.0001] and anxiety disorder groups [OR adjusted: 1.54, 95% CI (1.37–1.72), p < 0.0001]. Among admitted patients, COVID-19 mortality rate was decreased for those with affective disorders rate [OR adjusted: 0.72, 95% CI (0.55–0.95), p = 0.0194].

COVID-19-related mortality and hospitalizations rates were higher for patients with a pre-existing psychotic disorder.

The COVID-19 pandemic entailed several changes in health and medical assistance, economy, and lifestyle. In the Acute Psychiatric Ward of the Hospital Clínic of Barcelona, the implementation of restrictive measures was necessary in order to ensure patients’ safety.

To compare clinical profiles and course of hospitalization of patients admitted before and during the COVID-19 lockdown in our Acute Psychiatric Ward.

All patients admitted from January 7th to February 25th and from March 19th to May 7th of 2020 in the Acute Psychiatric Hospitalization Unit of Hospital Clínic of Barcelona, Spain, were retrospectively included for analysis and divided into two groups according to the period when they were admitted. Statistical analyses were performed using SPSS, 23.0 version.

A total of 117 inpatients were included (73 admitted before lockdown and 44 during lockdown), being 50.4% male, with a mean age of 42.4 (SD 15.73). Patients from the first group presented a significantly higher proportion of antidepressants prescription at discharge (p<0.05) and more substance use disorders (p<0.05). Regarding the lockdown group, 51% of patients manifested COVID-19-related stress. Time of hospitalization was significantly lower in the lockdown group (p<0.05), even though a significantly higher proportion of patients were discharged at home (p<0.05) compared with the first group.

The situation of lockdown led to a series of changes in our unit and also in the profile of patients admitted, having shorter admissions, lower prescription of antidepressants, and often COVID-related stress. These differences should be considered in future situations in which restrictive measures may be necessary.

No significant relationships.

Simulation is a deliberate counterfeiting of physical or psychological symptoms in order to obtain a secondary gain or external incentive, like evading from military service, scape from work, obtain economic compensations or avoid criminal responsibility. It is estimated that prevalence is roughly 1% in mental health patients, with higher prevalence in young males and middle aged. Male with 52 years attends to emergency service. Erratic tracking in Mental Health Service from two years ago with unfavorable progress. He goes to emergency service referring aggravation of discomforted state of mind even with readjustment a week ago. Addiction to benzodiazepines and clinophilia. Currently with temporary inability to work of large data.

To set a differential diagnose between depression, factitious disorder and malingering.

Examination shows moderated sad mood with despair, reactive to disability and progression of his illness. Sparing in words speech, focused on life or work problems. Autolytic verbalizations and self-control inability.

Mmpi2 that shows: Gough’s F-K. Dissimulation index, 34. Cut-off point to consider simulation/ pretending being ill varies among authors. A conservative cut-off point is 15, showing a severe exaggeration of its discomfort and dissimulation.

It is important to make an appropriate anamnesis and psychopathological exploration, as well as observation to reach a correct diagnose. In this case, clearly secondary gain was founded, therefore diagnose was malingering.

No significant relationships.

Bipolar Disorder (BD) is a mental disorder characterized by long hospitalizations and frequent need for acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in BD.

The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research.

We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x).

A total of 20,807 hospitalizations were registered belonging to 13,300 patients. 33.4% of the hospitalizations occurred in male patients and the median LoS was 16.0 days. Mean age was 47.9 years and male patients were younger(46.6 vs. 48.6; p< 0.001). 59 hospitalizations had a deadly outcome (0.3%). The most common cause of hospitalization in BD was the diagnosis code 296.4x (Bipolar I disorder, most recent episode (or current) manic) representing 34.3% of all hospitalizations, followed by the code 296.5x (Bipolar I disorder, most recent episode (or current) depressed) with 21.4%. The mean hospitalization charges were 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study.

This is a nationwide study using BigData analysis giving a broad perspective of BD hospitalization panorama at a nationwide level. We found differences in hospitalization characteristics by gender, age and primary diagnosis.

No significant relationships.

Bipolar disorder, especially Bipolar II subtype, is a mental disorder that has one of the greatest risk of completed suicide (CS).

Determine the rate and the risk factors of CS in a cohort of Bipolar II patients followed after their first hospitalization

We choose all Bipolar II patients (DSM-IV) who were hospitalized for first time in our Psychiatric unit between 1996 and 2016. We reviewed the charts of first hospitalization and recorded multiple baseline variables. In the follow-up we updated the database recording all patients who CS. We compared the different baseline variables between Bipolar II patients who CS and the rest

Of a total of 59 bipolar II patients 6 (10 %) CS in the mean of 13 years of follow up (rate 120 times higher than General Population). The average age at CS was 45.3 years (range between 33 and 57 years old) so there was a 2 years gap on average between the first psychiatric hospitalization and suicide. CS was characterized by a violent act (5 out of 6 cases, 83 %). When we compared BP II patients who CS with the rest, only history of previous violent suicide attempt was detected as a risk factor significantly associated (P<0.04) with CS.

Bipolar II patients CS early after their first hospitalization and at very high rate (120 times than GP) almost always by violent method. History of previous violent suicide attempt is predictor of completed suicide

No significant relationships.