Interventional analytics in skilled nursing facilities associated with reduced readmissions
To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other...
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| Veröffentlicht in: | The American journal of managed care 2024-05, Vol.30 (6 Spec No.), p.SP478-SP482 |
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| container_issue | 6 Spec No. |
| container_start_page | SP478 |
| container_title | The American journal of managed care |
| container_volume | 30 |
| creator | Kaknes, Derek A Barbour, Tanner B Ji, Wenyan Stein, Steven M Naylor, Mary D Hanlon, Alexandra L |
| description | To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states.
Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data.
CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively.
LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P |
| doi_str_mv | 10.37765/ajmc.2024.89557 |
| format | Article |
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Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data.
CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively.
LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022.
SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.</description><identifier>ISSN: 1088-0224</identifier><identifier>ISSN: 1936-2692</identifier><identifier>EISSN: 1936-2692</identifier><identifier>DOI: 10.37765/ajmc.2024.89557</identifier><identifier>PMID: 38820191</identifier><language>eng</language><publisher>United States: MultiMedia Healthcare Inc</publisher><subject>Aged ; Cross-Sectional Studies ; Electronic health records ; Female ; Hospitals ; Humans ; Longitudinal Studies ; Male ; Medicare ; Nursing homes ; Patient Readmission - statistics & numerical data ; Peers ; Pennsylvania ; Quality Indicators, Health Care ; Retrospective Studies ; Skilled Nursing Facilities - statistics & numerical data ; United States</subject><ispartof>The American journal of managed care, 2024-05, Vol.30 (6 Spec No.), p.SP478-SP482</ispartof><rights>Copyright MultiMedia Healthcare Inc. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3062827511?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,12724,12753,21367,21371,27901,27902,33429,33430,33721,33722,34311,34312,36242,36243,43592,43781,44049,44380</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38820191$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kaknes, Derek A</creatorcontrib><creatorcontrib>Barbour, Tanner B</creatorcontrib><creatorcontrib>Ji, Wenyan</creatorcontrib><creatorcontrib>Stein, Steven M</creatorcontrib><creatorcontrib>Naylor, Mary D</creatorcontrib><creatorcontrib>Hanlon, Alexandra L</creatorcontrib><title>Interventional analytics in skilled nursing facilities associated with reduced readmissions</title><title>The American journal of managed care</title><addtitle>Am J Manag Care</addtitle><description>To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states.
Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data.
CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively.
LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022.
SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.</description><subject>Aged</subject><subject>Cross-Sectional Studies</subject><subject>Electronic health records</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicare</subject><subject>Nursing homes</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Peers</subject><subject>Pennsylvania</subject><subject>Quality Indicators, Health Care</subject><subject>Retrospective Studies</subject><subject>Skilled Nursing Facilities - statistics & numerical data</subject><subject>United States</subject><issn>1088-0224</issn><issn>1936-2692</issn><issn>1936-2692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkDtPwzAURi0EoqWwM6FILCwpfiS2MyLEo1IlFpgYLMexwSVNiq8D6r_HfcDA4od87ud7D0LnBE-ZELy81oulmVJMi6msylIcoDGpGM8pr-hhOmMpc0xpMUInAAuMGZcFP0YjJiXFpCJj9Drrog1ftou-73Sb6bSsozeQ-S6DD9-2tsm6IYDv3jKnjW999BYyDdAbr2N6_fbxPQu2GUy6BKubpQdIaXCKjpxuwZ7t9wl6ub97vn3M508Ps9ubeW4YpTGvtNPcUaNrWfHGaSud5ZIKm6Koq7mra-wIKUldCEmE44LUVWEKYksqDXZsgq52uavQfw4WokodGNu2urP9AIphzgqOmSgTevkPXfRDSDNvKZp-LQlJFN5RJvQAwTq1Cn6pw1oRrLbi1Ua82ohXW_Gp5GIfPNRL2_wV_JpmPwoygUE</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Kaknes, Derek A</creator><creator>Barbour, Tanner B</creator><creator>Ji, Wenyan</creator><creator>Stein, Steven M</creator><creator>Naylor, Mary D</creator><creator>Hanlon, Alexandra L</creator><general>MultiMedia Healthcare Inc</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>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88M</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20240501</creationdate><title>Interventional analytics in skilled nursing facilities associated with reduced readmissions</title><author>Kaknes, Derek A ; Barbour, Tanner B ; Ji, Wenyan ; Stein, Steven M ; Naylor, Mary D ; Hanlon, Alexandra L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c322t-9afa6f2cab896dfae8fe6827eead2fb6fbb0f1151b47817f671b94c41e528c0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Cross-Sectional Studies</topic><topic>Electronic health records</topic><topic>Female</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicare</topic><topic>Nursing homes</topic><topic>Patient Readmission - 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Academic</collection><jtitle>The American journal of managed care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaknes, Derek A</au><au>Barbour, Tanner B</au><au>Ji, Wenyan</au><au>Stein, Steven M</au><au>Naylor, Mary D</au><au>Hanlon, Alexandra L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interventional analytics in skilled nursing facilities associated with reduced readmissions</atitle><jtitle>The American journal of managed care</jtitle><addtitle>Am J Manag Care</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>30</volume><issue>6 Spec No.</issue><spage>SP478</spage><epage>SP482</epage><pages>SP478-SP482</pages><issn>1088-0224</issn><issn>1936-2692</issn><eissn>1936-2692</eissn><abstract>To assess differences in longitudinal profiles for 30-day risk-adjusted readmission rates in skilled nursing facilities (SNFs) associated with Penn Medicine's Lancaster General Hospital (LGH) that implemented an interventional analytics (IA) platform vs other LGH facilities lacking IA vs other SNFs in Pennsylvania vs facilities in all other states.
Retrospective longitudinal analysis of CMS readmissions data from 2017 through 2022, and cross-sectional analysis using CMS quality metrics data.
CMS SNF quality performance data were aggregated and compared with risk-adjusted readmissions by facility and time period. Each SNF was assigned to a cohort based on location, referral relationship with LGH, and whether it had implemented IA. Multivariable mixed effects modeling was used to compare readmissions by cohort, whereas quality measures from the fourth quarter of 2022 were compared descriptively.
LGH profiles differed significantly from both state and national profiles, with LGH facilities leveraging IA demonstrating an even greater divergence. In the most recent 12 months ending in the fourth quarter of 2022, LGH SNFs with IA had estimated readmission rates that were 15.24, 12.30, and 13.06 percentage points lower than the LGH SNFs without IA, Pennsylvania, and national cohorts, respectively (all pairwise P < .0001). SNFs with IA also demonstrated superior CMS claims-based quality metric outcomes for the 12 months ending in the fourth quarter of 2022.
SNFs implementing the studied IA platform demonstrated statistically and clinically significant superior risk-adjusted readmission rate profiles compared with peers nationally, statewide, and within the same SNF referral network (P < .0001). A more detailed study on the use of IA in this setting is warranted.</abstract><cop>United States</cop><pub>MultiMedia Healthcare Inc</pub><pmid>38820191</pmid><doi>10.37765/ajmc.2024.89557</doi><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1088-0224 |
| ispartof | The American journal of managed care, 2024-05, Vol.30 (6 Spec No.), p.SP478-SP482 |
| issn | 1088-0224 1936-2692 1936-2692 |
| language | eng |
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| source | Research Library; MEDLINE; Research Library (Alumni Edition); Research Library Prep; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; ProQuest Central |
| subjects | Aged Cross-Sectional Studies Electronic health records Female Hospitals Humans Longitudinal Studies Male Medicare Nursing homes Patient Readmission - statistics & numerical data Peers Pennsylvania Quality Indicators, Health Care Retrospective Studies Skilled Nursing Facilities - statistics & numerical data United States |
| title | Interventional analytics in skilled nursing facilities associated with reduced readmissions |
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