Subjective evaluation of admission and first days of hospitalization at a psychiatric ward from the perspective of patients

Błądziński, Piotr; Hat, Marta; Daren, Artur; Kruk, Dawid; Depukat, Anna; Cichocki, Łukasz; Wojtasik-Bakalarz, Krzysztof; Bryła, Małgorzata; Wronkowicz, Kamila; Dudek, Małgorzata; Prus-Piotrowicz, Małgorzata; Łukawska, Magdalena; Kędziora-Wysocka, Martyna; Woszczenko, Aleksandra; Cechnicki, Andrzej

doi:10.5114/ppn.2020.94694

Cited by 4 publications

(4 citation statements)

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“…Hospitalization remains a vital intervention for patients with severe mental disorders [1]. In spite of its benefits, the experience of staying in a psychiatric hospital frequently is associated with low satisfaction [2], which may influence the patients' attitude towards further mental healthcare [3]. One of the core determinants of this experience is the length of stay (LOS), defined as the number of days between discharge and admission.…”

Section: Introductionmentioning

confidence: 99%

Predictors of the length of stay of psychiatric inpatients: protocol for a systematic review and meta-analysis

et al. 2021

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Background Length of stay (LOS) for inpatient psychiatric services is an important factor with serious drawbacks when it is extended more than needed. Impacts on economy, social functioning, and stigma can hamper improvement and affect the patients’ experiences on future mental healthcare. Predictions of which patients have a higher chance for prolonged LOS have been extensively researched. Previous systematic reviews found consistent predictors of both longer and shorter LOS. However, they do not provide an estimate from the pooled effect sizes. Furthermore, to our knowledge, there is no meta-analysis on the influence of these factors. The primary objective of this study will be to provide point estimates on the effect sizes of all studied predictors of the LOS of psychiatric inpatients. Methods We will conduct a systematic search in PubMed, MEDLINE, EMBASE, and PsycINFO for observational studies evaluating the effect size of independent factors on the length of stay of psychiatric inpatients. Prospective and retrospective cohorts that assess the influence of predictors through the reporting of standardized regression coefficients will be included. We will provide a qualitative synthesis of the findings from each study and perform a meta-analysis from pooled regression coefficients that were adjusted for other variables or confounders in order to obtain a point estimate and confidence interval for all factors extracted from the included studies. Discussion The results from this study may provide more accurate predictions for mental health institutions, psychiatrists, mental health service providers, patients, and families on the prognosis regarding the length of stay for needed inpatient care. This information may be used to anticipate individuals with a higher chance for prolonged hospitalization to plan the necessary interventions for these specific situations. Considering both the benefits and disadvantages of longer and shorter stays, the pooled estimates for independent factors may be used by mental healthcare providers and patients for informed decision-making. The results from this study will also update results presented in previous studies and identify the strengths and limitations from the current available evidence. Systematic review registration PROSPERO ID CRD42020172840

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Section: Introductionmentioning

confidence: 99%

Predictors of the length of stay of psychiatric inpatients: protocol for a systematic review and meta-analysis

et al. 2021

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“…Background Hospitalization remains a vital intervention for patients with severe mental disorders (1). In spite of its bene ts, the experience of staying in a psychiatric hospital frequently is associated with low satisfaction (2), which may in uence the patients' attitude towards further mental healthcare (3). One of the core determinants of this experience is the length of stay (LOS), de ned as the number of days between discharge and admission.…”

Section: Systematic Review Registration: Prospero Id Crd42020172840mentioning

confidence: 99%

Predictors of the Length of Stay of Psychiatric Inpatients: Protocol for a Systematic Review and Meta-Analysis

Carranza

Álvarez

Contreras

et al. 2021

Preprint

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Background: Length of stay (LOS) for inpatient psychiatric services is an important factor with serious drawbacks when it is extended more than needed. Impacts on economy, social functioning and stigma can hamper improvement and affect the patients’ experiences on future mental healthcare. Predictions of which patients have a higher chance for prolonged LOS have been extensively researched. Previous systematic reviews found consistent predictors of both longer and shorter LOS. However, they do not provide an estimate from the pooled effect sizes. Furthermore, to our knowledge, there are no meta-analysis on the influence of these factors. The primary objective of this study will be to provide point estimates on the effect sizes of all studied predictors of the LOS of psychiatric inpatients.Methods: We will conduct a systematic search in PubMed, MEDLINE, EMBASE and PsycINFO for observational studies evaluating the effect size of independent factors on the length of stay of psychiatric inpatients. Prospective and retrospective cohorts that assess the influence of predictors through the reporting of standardized regression coefficients will be included. We will provide a qualitative synthesis of the findings from each study and perform a meta-analysis from pooled regression coefficients that were adjusted for other variables or confounders in order to obtain a point estimate and confidence interval for all factors extracted from the included studies.Discussion: The results from this study may provide more accurate predictions for mental health institutions, psychiatrists, mental health service providers, patients, and families on the prognosis regarding the length of stay for needed inpatient care. This information may be used to anticipate individuals with a higher chance for prolonged hospitalization to plan the necessary interventions for these specific situations. Considering both the benefits and disadvantages of longer and shorter stays, the pooled estimates for independent factors may be used by mental healthcare providers and patients for informed decision-making. The results from this study will also update results presented in previous studies and identify the strengths and limitations from the current available evidence. Systematic Review Registration: PROSPERO ID CRD42020172840

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“…Despite the benefits of inpatient treatment, a longer length of stay (LOS) may be counterproductive. Longer LOS is frequently associated with more negative outcomes, such as low patient satisfaction (Bird et al, 2020), mental illness stigma, deterioration of social relationships, and threats to the living situation and career opportunities (Gopalakrishna et al, 2015), which may impact patients' attitudes toward further psychiatric care (Shi, 2019;Bła ¸dziński et al, 2020). China has a significant population of people with BD, but psychiatric ward beds are limited (Que et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study

Wang

Du²,

Li³

et al. 2023

Front. Hum. Neurosci.

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Introduction: Many patients with bipolar disorder (BD) need hospitalization, while the number of hospital beds for these patients is limited. Managing the length of stay (LOS) is an effective solution to this issue. Research on LOS and its influencing factors in BD is limited in China. This study aimed to identify the factors relevant to LOS in different polarities in Chinese patients with BD.Method: This was a real-world, cross-sectional study. Data were obtained from the electronic medical record system. Patients admitted to Beijing Anding Hospital between Jan 2014 and Dec 2017 and diagnosed with BD were included. Demographic information, clinical characteristics, and biochemical variables were collected. Patients were classified into short and long LOS groups based on a cutoff value. A univariate study and a multivariate logistic regression analysis were performed to identify variables related to LOS in various BD polarities. The receiver operating characteristic (ROC) analysis was utilized to evaluate the discrimination accuracy of the regression model.Result: Four thousand six hundred and seventy-five visits from 4,451 individuals were included in the analysis. For the whole sample, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). There was an additive interaction between a family history of mental disorders and polarities (p < 0.05). For manic episodes, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). For depressive episodes, psychotic features and high-density lipoprotein cholesterol (HDLC) levels were positively associated with long LOS (all p < 0.05). For mixed states, unmarried status was positively associated with long LOS, while low-density lipoprotein cholesterol (LDLC) levels were negatively associated with LOS (all p < 0.05). The area under the curve (AUC) values for depressive episodes, manic episodes, and mixed states in the combined model were 0.587, 0.553, and 0.619, respectively (all p < 0.05).Discussion: The findings suggested that LOS correlates differed by polarity, with marital status, psychotic features, a family history of mental disorders, and lipid levels strongly linked with LOS in patients with BD.

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Subjective evaluation of admission and first days of hospitalization at a psychiatric ward from the perspective of patients

Cited by 4 publications

References 13 publications

Predictors of the length of stay of psychiatric inpatients: protocol for a systematic review and meta-analysis

Predictors of the length of stay of psychiatric inpatients: protocol for a systematic review and meta-analysis

Predictors of the Length of Stay of Psychiatric Inpatients: Protocol for a Systematic Review and Meta-Analysis

Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study

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