Searching across hundreds of databases
Background: Over the past 20 years, hospitalists have assumed a greater portion of healthcare service for hospitalized patients. This was mainly due to reducing the length of stay (LOS) and hospital costs shown by many studies. In contrast, other studies suggested increased cost and resources utilization associated with hospitalist-run care models. Aim: We aimed to provide class 1 evidence regarding the effect of hospitalist-run care models on the efficiency of care and patient satisfaction. Design: Meta-analysis. Methods: Four electronic medical databases were searched to retrieve all relevant studies. Two authors screened titles and abstracts of search results for eligibility according to predefined criteria. Initially eligible studies were screened for full text inclusion. Included studies were reviewed for data on LOS, hospital cost, readmission, mortality, and patient satisfaction. Available data were abstracted and analyzed using Comprehensive Meta-Analysis. Results: Sixty-one studies were included for analysis. The overall effect size favored hospitalist-run care models in terms of LOS (MD = -0.67 day, 95% CI [-0.78, -0.56], p < 0.001). There was no significant difference in terms of hospital cost (MD = $92.1, 95% CI [-910.4, 1094.6], p = 0.86) whereas patient satisfaction was similar or even better in hospitalist compared to non-hospitalist (NH) service. Conclusion: Our analysis showed that hospitalist care is associated with decreased LOS and increased patient satisfaction compared to NH. This indicates an increase in the efficiency of care that does not come at the expense of care quality.
Pubmed ID: 31044043 RIS Download
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
A premier bibliographic database that contains over 18 million references to journal articles in life sciences with a concentration on biomedicine. A distinctive feature is that the records are indexed with NLM Medical Subject Headings (MeSH). PubMed provides free access to MEDLINE and links to full text articles when possible. The great majority of journals are selected for MEDLINE based on the recommendation of the Literature Selection Technical Review Committee (LSTRC), an NIH-chartered advisory committee of external experts analogous to the committees that review NIH grant applications. Some additional journals and newsletters are selected based on NLM-initiated reviews, e.g., history of medicine, health services research, AIDS, toxicology and environmental health, molecular biology, and complementary medicine, that are special priorities for NLM or other NIH components. These reviews generally also involve consultation with an array of NIH and outside experts or, in some cases, external organizations with which NLM has special collaborative arrangements. MEDLINE is the primary component of PubMed, part of the Entrez series of databases provided by the NLM National Center for Biotechnology Information (NCBI). MEDLINE may also be searched via the NLM Gateway. Time coverage: generally 1946 to the present, with some older material. Source: Currently, citations from approximately 5,516 worldwide journals in 39 languages; 60 languages for older journals. Citations for MEDLINE are created by the NLM, international partners, and collaborating organizations.
View all literature mentionsPublic bibliographic database that provides access to citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites. PubMed citations and abstracts include fields of biomedicine and health, covering portions of life sciences, behavioral sciences, chemical sciences, and bioengineering. Provides access to additional relevant web sites and links to other NCBI molecular biology resources. Publishers of journals can submit their citations to NCBI and then provide access to full-text of articles at journal web sites using LinkOut.
View all literature mentionsThe SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
scicrunch.org
