Secondary analysis of merged American Hospital Association data and U.S. Census data: Beginning to understand the supply-demand chain in pediatric inpatient care
| dc.contributor.author | Lacey, Susan R. | |
| dc.contributor.author | Kilgore, Meredith | |
| dc.contributor.author | Yun, Huifeng | |
| dc.contributor.author | Hughes, Rhonda | |
| dc.contributor.author | Allison, Jeroan J. | |
| dc.contributor.author | Cox, Karen S. | |
| dc.date | 2022-08-11T08:10:43.000 | |
| dc.date.accessioned | 2022-08-23T17:17:45Z | |
| dc.date.available | 2022-08-23T17:17:45Z | |
| dc.date.issued | 2008-05-22 | |
| dc.date.submitted | 2010-08-05 | |
| dc.identifier.citation | J Pediatr Nurs. 2008 Jun;23(3):161-8. <a href="http://dx.doi.org/10.1016/j.pedn.2007.08.019">Link to article on publisher's site</a> | |
| dc.identifier.issn | 0882-5963 (Linking) | |
| dc.identifier.doi | 10.1016/j.pedn.2007.08.019 | |
| dc.identifier.pmid | 18492545 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14038/47700 | |
| dc.description.abstract | Much attention has been focused on how the nursing shortage will impact the growing number of aging Americans. This study was conducted as a first step in understanding nursing supply relative to potential pediatric demand using merged data from the American Hospital Association's annual survey and Census data by state from the year 2000. Findings indicate that there is tremendous variability among reporting states related to estimated pediatric nurses (registered nurse full-time equivalents), potential pediatric demand (persons from birth to 18 years), and allocated pediatric beds. Future research will examine how this supply-demand chain impacts clinical and cost outcomes for pediatric patients. | |
| dc.language.iso | en_US | |
| dc.relation | <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=18492545&dopt=Abstract">Link to Article in PubMed</a> | |
| dc.relation.url | http://dx.doi.org/10.1016/j.pedn.2007.08.019 | |
| dc.subject | *American Hospital Association | |
| dc.subject | *Censuses | |
| dc.subject | Child | |
| dc.subject | Community Health Planning | |
| dc.subject | Data Interpretation, Statistical | |
| dc.subject | Forecasting | |
| dc.subject | Health Planning | |
| dc.subject | Health Services Research | |
| dc.subject | Hospital Bed Capacity | |
| dc.subject | Humans | |
| dc.subject | Inpatients | |
| dc.subject | Needs Assessment | |
| dc.subject | Nursing Administration Research | |
| dc.subject | Nursing Staff, Hospital | |
| dc.subject | Pediatric Nursing | |
| dc.subject | Personnel Staffing and Scheduling | |
| dc.subject | Research Design | |
| dc.subject | United States | |
| dc.subject | Bioinformatics | |
| dc.subject | Biostatistics | |
| dc.subject | Epidemiology | |
| dc.subject | Health Services Research | |
| dc.title | Secondary analysis of merged American Hospital Association data and U.S. Census data: Beginning to understand the supply-demand chain in pediatric inpatient care | |
| dc.type | Journal Article | |
| dc.source.journaltitle | Journal of pediatric nursing | |
| dc.source.volume | 23 | |
| dc.source.issue | 3 | |
| dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/qhs_pp/824 | |
| dc.identifier.contextkey | 1426298 | |
| html.description.abstract | <p>Much attention has been focused on how the nursing shortage will impact the growing number of aging Americans. This study was conducted as a first step in understanding nursing supply relative to potential pediatric demand using merged data from the American Hospital Association's annual survey and Census data by state from the year 2000. Findings indicate that there is tremendous variability among reporting states related to estimated pediatric nurses (registered nurse full-time equivalents), potential pediatric demand (persons from birth to 18 years), and allocated pediatric beds. Future research will examine how this supply-demand chain impacts clinical and cost outcomes for pediatric patients.</p> | |
| dc.identifier.submissionpath | qhs_pp/824 | |
| dc.contributor.department | Department of Quantitative Health Sciences | |
| dc.source.pages | 161-8 |