ArticleSystematic reviews2021
Predictors of the length of stay of psychiatric inpatients: protocol for a systematic review and meta-analysis.
Article in Systematic reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Crisis versus extended care: bimodal distribution of length of stay in psychiatric inpatients.BMC psychiatry · 2025Article
- A network approach to lifestyle behaviors and health outcomes in people with mental illness: the MULTI+ study III.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- The profile of long-stay patients in a psychiatric hospital in KwaZulu-Natal, South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025Article
- Factors Affecting Length of Stay of Patients in a General Psychiatric Hospital in Bahrain: A Retrospective Study.Cureus · 2024Article
- Reducing wait times and avoiding unnecessary use of high-cost mental health services through a Rapid Access and Stabilization Program: protocol for a program evaluation study.BMC health services research · 2024Article
- Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group.Frontiers in psychiatry · 2024Article
- A multisite comparison using electronic health records and natural language processing to identify the association between suicidality and hospital readmission amongst patients with eating disorders.The International journal of eating disorders · 2023Article
- Rules and ward climate in acute psychiatric setting: Comparison of staff and patient perceptions.International journal of mental health nursing · 2022Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLength 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.
methodsWe 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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