Research output per year
Research output per year
Abstract
Length-of-stay (LOS) for inpatient mental health care is a major driver of variation in resource use internationally. We explore determinants of LOS in England, focusing on the impact of emergency readmission rates which can serve as a measure of the quality of care. Data for 2009/2010 and 2010/2011 are analysed using hierarchical and non-hierarchical models. Unexplained residual variation among providers is quantified using Empirical Bayes techniques. Diagnostic, treatment and patient-level demographic variables are key drivers of LOS. Higher emergency readmission rates are associated with shorter LOS. Ranking providers by residual variation reveals significant differences, suggesting some providers can improve performance.
| Original language | English |
|---|---|
| Pages (from-to) | 188-200 |
| Number of pages | 13 |
| Journal | Administration and Policy in Mental Health and Mental Health Services Research |
| Volume | 44 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2017 |
| Externally published | Yes |
Keywords
- Bayes Theorem
- Emergency Medical Services/statistics & numerical data
- England
- Female
- Humans
- Length of Stay/statistics & numerical data
- Male
- Mental Health Services/statistics & numerical data
- Patient Readmission/statistics & numerical data
- Quality of Health Care/statistics & numerical data
- State Medicine/statistics & numerical data
Research output
- 1 Article
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Erratum to: Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay
Moran, V., Jacobs, R. & Mason, A., Mar 2017, In: Administration and Policy in Mental Health and Mental Health Services Research. 44, 2, p. 201-202 2 p.Research output: Contribution to journal › Article › peer-review