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dc.contributor.authorTrisolini, Michael G.
dc.contributor.authorThomas, Cindy Parks
dc.contributor.authorCashman, Suzanne B
dc.contributor.authorPayne, Susan M. C.
dc.date2022-08-11T08:08:35.000
dc.date.accessioned2022-08-23T16:00:08Z
dc.date.available2022-08-23T16:00:08Z
dc.date.issued1994-01-01
dc.date.submitted2010-03-17
dc.identifier.citationHome Health Care Serv Q. 1994;15(1):19-41.
dc.identifier.issn0162-1424 (Linking)
dc.identifier.pmid10139287
dc.identifier.urihttp://hdl.handle.net/20.500.14038/30817
dc.description.abstractResource utilization in home health care has become an issue of concern due to rising costs and recent initiatives to develop prospective payment systems for home health care. A number of issues remain unresolved for the development of prospective reimbursement in this sector, including the types of variables to be included as payment variables and appropriate measures of resource use. This study supplements previous work on home health case-mix by analyzing the factors affecting one aspect of resource use for skilled nursing visits--visit length--and explores the usefulness of several specially collected variables which are not routinely available in administrative records. A data collection instrument was developed with a focus group of skilled nurses, identifying a range of variables hypothesized to affect visit length. Five categories of variables were studied using multiple regression analysis: provider-related; patient's socio-economic status; patient's clinical status; patient's support services; and visit-specific. The final regression model identifies 9 variables which significantly affect visit time. Five of the 9 are visit-specific variables, a significant finding since these are not routinely collected. Case-mix systems which include visit time as a measure of resource use will need to investigate visit-specific variables, as this study indicates they could have the largest influence on visit time. Two other types of resources used in home health care, supplies and security drivers, were also investigated in less detail.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=10139287&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1300/J027v15n01_03
dc.subjectBoston
dc.subjectCommunity Health Nursing
dc.subjectData Collection
dc.subjectDiagnosis-Related Groups
dc.subjectFocus Groups
dc.subjectHealth Resources
dc.subjectHome Care Services
dc.subjectHouse Calls
dc.subjectNurses
dc.subjectProspective Studies
dc.subjectRegression Analysis
dc.subjectTime and Motion Studies
dc.subjectCommunity Health
dc.subjectOther Medical Specialties
dc.subjectPreventive Medicine
dc.titleResource utilization in home health care: results of a prospective study
dc.typeJournal Article
dc.source.journaltitleHome health care services quarterly
dc.source.volume15
dc.source.issue1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/fmch_articles/145
dc.identifier.contextkey1228950
html.description.abstract<p>Resource utilization in home health care has become an issue of concern due to rising costs and recent initiatives to develop prospective payment systems for home health care. A number of issues remain unresolved for the development of prospective reimbursement in this sector, including the types of variables to be included as payment variables and appropriate measures of resource use. This study supplements previous work on home health case-mix by analyzing the factors affecting one aspect of resource use for skilled nursing visits--visit length--and explores the usefulness of several specially collected variables which are not routinely available in administrative records. A data collection instrument was developed with a focus group of skilled nurses, identifying a range of variables hypothesized to affect visit length. Five categories of variables were studied using multiple regression analysis: provider-related; patient's socio-economic status; patient's clinical status; patient's support services; and visit-specific. The final regression model identifies 9 variables which significantly affect visit time. Five of the 9 are visit-specific variables, a significant finding since these are not routinely collected. Case-mix systems which include visit time as a measure of resource use will need to investigate visit-specific variables, as this study indicates they could have the largest influence on visit time. Two other types of resources used in home health care, supplies and security drivers, were also investigated in less detail.</p>
dc.identifier.submissionpathfmch_articles/145
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.source.pages19-41


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