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Is it possible to predict hospitalisation during intensive home treatment? A retrospective cohort study.

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Title: Is it possible to predict hospitalisation during intensive home treatment? A retrospective cohort study.
Authors: Martín-Blanco, A., González-Fernández, A., Vieira, S., Farré, A., Isern, C., Avila-Parcet, A., Gausachs, E., Patrizi, B., Cardoner, N., Portella, M.J.
Source: International Journal of Psychiatry in Clinical Practice. Sep-Nov2024, Vol. 28 Issue 3/4, p211-217. 7p.
Subjects: Substance abuse treatment, Home care services, Prediction models, Hospital care, Hospitals, Retrospective studies, Descriptive statistics, Longitudinal method, Odds ratio, Medical records, Acquisition of data, Confidence intervals, Transportation of patients
Abstract: Objective: Intensive Home Treatment (IHT) is an alternative to acute inward treatment. The objective of this study was to assess which variables predict that a patient admitted to IHT required transfer to hospital for inward management. Methods: We included the first 1000 episodes admitted to IHT and looked for crude associations between potential predictive factors and transfer to hospital. Then, we built a predictive model for this outcome. Results: The patients with a higher risk of transfer to hospital were those who had previous hospitalisations (OR = 2.6; 95% CI = 1.4–4.7), more admissions in the previous 5 years (median= 0, IQR = 0–1 vs. median = 0, IQR = 0–1.5; p = 0.0011) and a higher clinical severity at IHT admission (mean difference = 0.36; p50 = 0, IQR = 0–1.5 vs. p50 = 0, IQR = 0–1; p = 0.0011). The predictive model included age, previous admissions, clinical severity at IHT admission, and substance use at the beginning of the episode but had a low performance (R2 = 0.115; AUC = 0.752, 95% CI: 0.690–0.814). Conclusion: Our results are consistent with those from previous studies in countries with different mental health systems. Far from cautioning us against using IHT in patients with severe symptoms or previous hospitalisations, these results should encourage us to find ways to offer them greater support at home. Keypoints: Patients with previous hospitalisations and severe symptoms are at a higher risk of requiring inpatient treatment while receiving intensive home treatment. These results are in accordance with those from previous studies in different countries with different structures of mental health systems. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Psychiatry in Clinical Practice is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Is it possible to predict hospitalisation during intensive home treatment? A retrospective cohort study.
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  Data: <searchLink fieldCode="AR" term="%22Martín-Blanco%2C+A%2E%22">Martín-Blanco, A.</searchLink><br /><searchLink fieldCode="AR" term="%22González-Fernández%2C+A%2E%22">González-Fernández, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Vieira%2C+S%2E%22">Vieira, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Farré%2C+A%2E%22">Farré, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Isern%2C+C%2E%22">Isern, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Avila-Parcet%2C+A%2E%22">Avila-Parcet, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Gausachs%2C+E%2E%22">Gausachs, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Patrizi%2C+B%2E%22">Patrizi, B.</searchLink><br /><searchLink fieldCode="AR" term="%22Cardoner%2C+N%2E%22">Cardoner, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Portella%2C+M%2EJ%2E%22">Portella, M.J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Psychiatry+in+Clinical+Practice%22">International Journal of Psychiatry in Clinical Practice</searchLink>. Sep-Nov2024, Vol. 28 Issue 3/4, p211-217. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Substance+abuse+treatment%22">Substance abuse treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Home+care+services%22">Home care services</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+care%22">Hospital care</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Retrospective+studies%22">Retrospective studies</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+records%22">Medical records</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation+of+patients%22">Transportation of patients</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: Intensive Home Treatment (IHT) is an alternative to acute inward treatment. The objective of this study was to assess which variables predict that a patient admitted to IHT required transfer to hospital for inward management. Methods: We included the first 1000 episodes admitted to IHT and looked for crude associations between potential predictive factors and transfer to hospital. Then, we built a predictive model for this outcome. Results: The patients with a higher risk of transfer to hospital were those who had previous hospitalisations (OR = 2.6; 95% CI = 1.4–4.7), more admissions in the previous 5 years (median= 0, IQR = 0–1 vs. median = 0, IQR = 0–1.5; p = 0.0011) and a higher clinical severity at IHT admission (mean difference = 0.36; p50 = 0, IQR = 0–1.5 vs. p50 = 0, IQR = 0–1; p = 0.0011). The predictive model included age, previous admissions, clinical severity at IHT admission, and substance use at the beginning of the episode but had a low performance (R2 = 0.115; AUC = 0.752, 95% CI: 0.690–0.814). Conclusion: Our results are consistent with those from previous studies in countries with different mental health systems. Far from cautioning us against using IHT in patients with severe symptoms or previous hospitalisations, these results should encourage us to find ways to offer them greater support at home. Keypoints: Patients with previous hospitalisations and severe symptoms are at a higher risk of requiring inpatient treatment while receiving intensive home treatment. These results are in accordance with those from previous studies in different countries with different structures of mental health systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Psychiatry in Clinical Practice is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13651501.2025.2461798
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 7
        StartPage: 211
    Subjects:
      – SubjectFull: Substance abuse treatment
        Type: general
      – SubjectFull: Home care services
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Hospital care
        Type: general
      – SubjectFull: Hospitals
        Type: general
      – SubjectFull: Retrospective studies
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Longitudinal method
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      – SubjectFull: Odds ratio
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      – SubjectFull: Medical records
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      – SubjectFull: Acquisition of data
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Transportation of patients
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      – TitleFull: Is it possible to predict hospitalisation during intensive home treatment? A retrospective cohort study.
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              M: 09
              Text: Sep-Nov2024
              Type: published
              Y: 2024
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