Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging
ABSTRACT Background Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined. Objective To evaluate the association between inpatient medicine service adoption of mobi...
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| Veröffentlicht in: | Journal of general internal medicine : JGIM 2016-08, Vol.31 (8), p.863-870 |
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| creator | Patel, Mitesh S. Patel, Neha Small, Dylan S. Rosin, Roy Rohrbach, Jeffrey I. Stromberg, Nathaniel Hanson, C. William Asch, David A. |
| description | ABSTRACT
Background
Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined.
Objective
To evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions.
Design
Observational study.
Participants
Patients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site;
n
= 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site;
n
= 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014.
Intervention
Mobile secure text messaging.
Main Measures
Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition.
Key Results
During the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (−0.77 days ; 95 % CI, −1.14, −0.40;
P
|
| doi_str_mv | 10.1007/s11606-016-3673-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4945559</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1804861166</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-c59ceddf0a5e78dd6618ae7437f79336baf5e9d285af3f49dd3615a43b10f5623</originalsourceid><addsrcrecordid>eNp1kctu1DAUhiMEokPhAdggS2zYBOz4mg1SNQJaaSoQLWvLEx9nXGXswU4q2hfp6-IopVwkVpZ8vvP7HH9V9ZLgtwRj-S4TIrCoMRE1FZLW8lG1IrzhNWGtfFytsFKsVpKyo-pZzlcYE9o06ml11Eg8d7JVdbfemdADOgtoA6Efdyg6dDGaG2SCRV_B2L3P2ceQkdnH0KPTmA9-NIO_BYvOwfrODOiLGT2EsTBuhFTCDsvFAvgA6ALSte8Andh4GEvc_Mx53PphLnVTAnQJP2Y-Z9P70D-vnjgzZHhxfx5X3z5-uFyf1pvPn87WJ5u6YxKPdcfbDqx12HCQylohiDIgGZVOtpSKrXEcWtsobhx1rLWWCsINo1uCHRcNPa7eL7mHabsH25Whkxn0Ifm9STc6Gq__rgS_03281qxlnPO2BLy5D0jx-wR51OXDOhgGEyBOWROFmRJFlCjo63_QqzilUNbTzexGKS5oochCdSnmnMA9DEOwnrXrRbsuCvWsXcvS8-rPLR46fnkuQLMAuZSK7_T76f-n_gSGxbrg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2001388563</pqid></control><display><type>article</type><title>Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Patel, Mitesh S. ; Patel, Neha ; Small, Dylan S. ; Rosin, Roy ; Rohrbach, Jeffrey I. ; Stromberg, Nathaniel ; Hanson, C. William ; Asch, David A.</creator><creatorcontrib>Patel, Mitesh S. ; Patel, Neha ; Small, Dylan S. ; Rosin, Roy ; Rohrbach, Jeffrey I. ; Stromberg, Nathaniel ; Hanson, C. William ; Asch, David A.</creatorcontrib><description>ABSTRACT
Background
Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined.
Objective
To evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions.
Design
Observational study.
Participants
Patients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site;
n
= 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site;
n
= 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014.
Intervention
Mobile secure text messaging.
Main Measures
Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition.
Key Results
During the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (−0.77 days ; 95 % CI, −1.14, −0.40;
P
< 0.001). There was no significant difference in the odds of readmission (OR, 0.97; 95 % CI: 0.81, 1.17;
P
= 0.77). These findings were supported by multiple sensitivity analyses.
Conclusions
Compared to a control group over time, hospitalized medical patients on inpatient services whose care providers and staff were offered mobile secure text messaging showed a relative decrease in length of stay and no change in readmissions.</description><identifier>ISSN: 0884-8734</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1007/s11606-016-3673-7</identifier><identifier>PMID: 27016064</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Cell Phone - trends ; Cell Phone - utilization ; Clinical Decision-Making - methods ; Demographics ; Demography ; Female ; Health care facilities ; Health Personnel - psychology ; Health Personnel - trends ; Health services ; Hospitalization - trends ; Humans ; Internal Medicine ; Intervention ; Length of Stay - trends ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Original Research ; Paging ; Patient Readmission - trends ; Patients ; Sensitivity analysis ; Short message service ; Text messaging ; Text Messaging - trends ; Text Messaging - utilization ; Trends</subject><ispartof>Journal of general internal medicine : JGIM, 2016-08, Vol.31 (8), p.863-870</ispartof><rights>Society of General Internal Medicine 2016</rights><rights>Journal of General Internal Medicine is a copyright of Springer, (2016). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-c59ceddf0a5e78dd6618ae7437f79336baf5e9d285af3f49dd3615a43b10f5623</citedby><cites>FETCH-LOGICAL-c470t-c59ceddf0a5e78dd6618ae7437f79336baf5e9d285af3f49dd3615a43b10f5623</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4945559/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4945559/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,27907,27908,41471,42540,51302,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27016064$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patel, Mitesh S.</creatorcontrib><creatorcontrib>Patel, Neha</creatorcontrib><creatorcontrib>Small, Dylan S.</creatorcontrib><creatorcontrib>Rosin, Roy</creatorcontrib><creatorcontrib>Rohrbach, Jeffrey I.</creatorcontrib><creatorcontrib>Stromberg, Nathaniel</creatorcontrib><creatorcontrib>Hanson, C. William</creatorcontrib><creatorcontrib>Asch, David A.</creatorcontrib><title>Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging</title><title>Journal of general internal medicine : JGIM</title><addtitle>J GEN INTERN MED</addtitle><addtitle>J Gen Intern Med</addtitle><description>ABSTRACT
Background
Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined.
Objective
To evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions.
Design
Observational study.
Participants
Patients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site;
n
= 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site;
n
= 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014.
Intervention
Mobile secure text messaging.
Main Measures
Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition.
Key Results
During the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (−0.77 days ; 95 % CI, −1.14, −0.40;
P
< 0.001). There was no significant difference in the odds of readmission (OR, 0.97; 95 % CI: 0.81, 1.17;
P
= 0.77). These findings were supported by multiple sensitivity analyses.
Conclusions
Compared to a control group over time, hospitalized medical patients on inpatient services whose care providers and staff were offered mobile secure text messaging showed a relative decrease in length of stay and no change in readmissions.</description><subject>Adult</subject><subject>Aged</subject><subject>Cell Phone - trends</subject><subject>Cell Phone - utilization</subject><subject>Clinical Decision-Making - methods</subject><subject>Demographics</subject><subject>Demography</subject><subject>Female</subject><subject>Health care facilities</subject><subject>Health Personnel - psychology</subject><subject>Health Personnel - trends</subject><subject>Health services</subject><subject>Hospitalization - trends</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Intervention</subject><subject>Length of Stay - trends</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Original Research</subject><subject>Paging</subject><subject>Patient Readmission - trends</subject><subject>Patients</subject><subject>Sensitivity analysis</subject><subject>Short message service</subject><subject>Text messaging</subject><subject>Text Messaging - trends</subject><subject>Text Messaging - utilization</subject><subject>Trends</subject><issn>0884-8734</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kctu1DAUhiMEokPhAdggS2zYBOz4mg1SNQJaaSoQLWvLEx9nXGXswU4q2hfp6-IopVwkVpZ8vvP7HH9V9ZLgtwRj-S4TIrCoMRE1FZLW8lG1IrzhNWGtfFytsFKsVpKyo-pZzlcYE9o06ml11Eg8d7JVdbfemdADOgtoA6Efdyg6dDGaG2SCRV_B2L3P2ceQkdnH0KPTmA9-NIO_BYvOwfrODOiLGT2EsTBuhFTCDsvFAvgA6ALSte8Andh4GEvc_Mx53PphLnVTAnQJP2Y-Z9P70D-vnjgzZHhxfx5X3z5-uFyf1pvPn87WJ5u6YxKPdcfbDqx12HCQylohiDIgGZVOtpSKrXEcWtsobhx1rLWWCsINo1uCHRcNPa7eL7mHabsH25Whkxn0Ifm9STc6Gq__rgS_03281qxlnPO2BLy5D0jx-wR51OXDOhgGEyBOWROFmRJFlCjo63_QqzilUNbTzexGKS5oochCdSnmnMA9DEOwnrXrRbsuCvWsXcvS8-rPLR46fnkuQLMAuZSK7_T76f-n_gSGxbrg</recordid><startdate>20160801</startdate><enddate>20160801</enddate><creator>Patel, Mitesh S.</creator><creator>Patel, Neha</creator><creator>Small, Dylan S.</creator><creator>Rosin, Roy</creator><creator>Rohrbach, Jeffrey I.</creator><creator>Stromberg, Nathaniel</creator><creator>Hanson, C. William</creator><creator>Asch, David A.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160801</creationdate><title>Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging</title><author>Patel, Mitesh S. ; Patel, Neha ; Small, Dylan S. ; Rosin, Roy ; Rohrbach, Jeffrey I. ; Stromberg, Nathaniel ; Hanson, C. William ; Asch, David A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-c59ceddf0a5e78dd6618ae7437f79336baf5e9d285af3f49dd3615a43b10f5623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Cell Phone - trends</topic><topic>Cell Phone - utilization</topic><topic>Clinical Decision-Making - methods</topic><topic>Demographics</topic><topic>Demography</topic><topic>Female</topic><topic>Health care facilities</topic><topic>Health Personnel - psychology</topic><topic>Health Personnel - trends</topic><topic>Health services</topic><topic>Hospitalization - trends</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Intervention</topic><topic>Length of Stay - trends</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Original Research</topic><topic>Paging</topic><topic>Patient Readmission - trends</topic><topic>Patients</topic><topic>Sensitivity analysis</topic><topic>Short message service</topic><topic>Text messaging</topic><topic>Text Messaging - trends</topic><topic>Text Messaging - utilization</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patel, Mitesh S.</creatorcontrib><creatorcontrib>Patel, Neha</creatorcontrib><creatorcontrib>Small, Dylan S.</creatorcontrib><creatorcontrib>Rosin, Roy</creatorcontrib><creatorcontrib>Rohrbach, Jeffrey I.</creatorcontrib><creatorcontrib>Stromberg, Nathaniel</creatorcontrib><creatorcontrib>Hanson, C. William</creatorcontrib><creatorcontrib>Asch, David A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of general internal medicine : JGIM</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patel, Mitesh S.</au><au>Patel, Neha</au><au>Small, Dylan S.</au><au>Rosin, Roy</au><au>Rohrbach, Jeffrey I.</au><au>Stromberg, Nathaniel</au><au>Hanson, C. William</au><au>Asch, David A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging</atitle><jtitle>Journal of general internal medicine : JGIM</jtitle><stitle>J GEN INTERN MED</stitle><addtitle>J Gen Intern Med</addtitle><date>2016-08-01</date><risdate>2016</risdate><volume>31</volume><issue>8</issue><spage>863</spage><epage>870</epage><pages>863-870</pages><issn>0884-8734</issn><eissn>1525-1497</eissn><abstract>ABSTRACT
Background
Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined.
Objective
To evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions.
Design
Observational study.
Participants
Patients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site;
n
= 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site;
n
= 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014.
Intervention
Mobile secure text messaging.
Main Measures
Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition.
Key Results
During the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (−0.77 days ; 95 % CI, −1.14, −0.40;
P
< 0.001). There was no significant difference in the odds of readmission (OR, 0.97; 95 % CI: 0.81, 1.17;
P
= 0.77). These findings were supported by multiple sensitivity analyses.
Conclusions
Compared to a control group over time, hospitalized medical patients on inpatient services whose care providers and staff were offered mobile secure text messaging showed a relative decrease in length of stay and no change in readmissions.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27016064</pmid><doi>10.1007/s11606-016-3673-7</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0884-8734 |
| ispartof | Journal of general internal medicine : JGIM, 2016-08, Vol.31 (8), p.863-870 |
| issn | 0884-8734 1525-1497 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4945559 |
| source | MEDLINE; SpringerLink Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Adult Aged Cell Phone - trends Cell Phone - utilization Clinical Decision-Making - methods Demographics Demography Female Health care facilities Health Personnel - psychology Health Personnel - trends Health services Hospitalization - trends Humans Internal Medicine Intervention Length of Stay - trends Male Medicine Medicine & Public Health Middle Aged Original Research Paging Patient Readmission - trends Patients Sensitivity analysis Short message service Text messaging Text Messaging - trends Text Messaging - utilization Trends |
| title | Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging |
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