Inpatient length of stay measures: Statistical and conceptual issues
| dc.contributor.author | Fisher, William H. | |
| dc.contributor.author | Altaffer, Fred | |
| dc.date | 2022-08-11T08:10:23.000 | |
| dc.date.accessioned | 2022-08-23T17:06:49Z | |
| dc.date.available | 2022-08-23T17:06:49Z | |
| dc.date.issued | 1992-05-01 | |
| dc.date.submitted | 2011-01-05 | |
| dc.identifier.citation | Administration and Policy in Mental Health and Mental Health Services Research, Volume 19, Number 5, 311-320, DOI: 10.1007/BF00707137 | |
| dc.identifier.doi | 10.1007/BF00707137 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/45190 | |
| dc.description.abstract | This paper examines the combined use of a prospective view of length of stay (LOS) using life table analysis and examinations of point-in-time data measuring the LOS of individuals hospitalized on a given day. This approach can provide a more detailed and comprehensive view of trends and differences in LOS across facilities over time and can be particularly useful in assessing the impact of changes in policy and service delivery strategies. | |
| dc.language.iso | en_US | |
| dc.relation.url | http://dx.doi.org/10.1007/BF00707137 | |
| dc.subject | Mental Health Services | |
| dc.subject | Inpatients | |
| dc.subject | Hospitalization | |
| dc.subject | Length of Stay | |
| dc.subject | Health Services Research | |
| dc.subject | Mental and Social Health | |
| dc.subject | Psychiatric and Mental Health | |
| dc.subject | Psychiatry | |
| dc.subject | Psychiatry and Psychology | |
| dc.title | Inpatient length of stay measures: Statistical and conceptual issues | |
| dc.type | Journal Article | |
| dc.source.journaltitle | Administration and Policy in Mental Health and Mental Health Services Research | |
| dc.source.volume | 19 | |
| dc.source.issue | 5 | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/psych_cmhsr/293 | |
| dc.identifier.contextkey | 1718161 | |
| html.description.abstract | <p>This paper examines the combined use of a prospective view of length of stay (LOS) using life table analysis and examinations of point-in-time data measuring the LOS of individuals hospitalized on a given day. This approach can provide a more detailed and comprehensive view of trends and differences in LOS across facilities over time and can be particularly useful in assessing the impact of changes in policy and service delivery strategies.</p> | |
| dc.identifier.submissionpath | psych_cmhsr/293 | |
| dc.contributor.department | Department of Psychiatry | |
| dc.source.pages | 311-320 |