Loading…

The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality

IMPORTANCE: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models. OBJECTIVE: To test whether CPC+ was associated with lowe...

Full description

Saved in:
Bibliographic Details
Published in:JAMA : the journal of the American Medical Association 2024-01, Vol.331 (2), p.132-146
Main Authors: Singh, Pragya, Fu, Ning, Dale, Stacy, Orzol, Sean, Laird, Jessica, Markovitz, Amanda, Shin, Eunhae, O’Malley, Ann S, McCall, Nancy, Day, Timothy J
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3
cites cdi_FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3
container_end_page 146
container_issue 2
container_start_page 132
container_title JAMA : the journal of the American Medical Association
container_volume 331
creator Singh, Pragya
Fu, Ning
Dale, Stacy
Orzol, Sean
Laird, Jessica
Markovitz, Amanda
Shin, Eunhae
O’Malley, Ann S
McCall, Nancy
Day, Timothy J
description IMPORTANCE: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models. OBJECTIVE: To test whether CPC+ was associated with lower health care spending and utilization and improved quality of care. DESIGN, SETTING, AND PARTICIPANTS: Difference-in-differences regression models compared changes in outcomes between the year before CPC+ and 5 intervention years for Medicare fee-for-service beneficiaries attributed to CPC+ and comparison practices. Participants included 1373 track 1 (1 549 585 beneficiaries) and 1515 track 2 (5 347 499 beneficiaries) primary care practices that applied to start CPC+ in 2017 and met minimum care delivery and other eligibility requirements. Comparison groups included 5243 track 1 (5 347 499 beneficiaries) and 3783 track 2 (4 507 499 beneficiaries) practices, matched, and weighted to have similar beneficiary-, practice-, and market-level characteristics as CPC+ practices. INTERVENTIONS: Two-track design involving enhanced (higher for track 2) and alternative payments (track 2 only), care delivery requirements (greater for track 2), data feedback, learning, and health information technology support. MAIN OUTCOMES AND MEASURES: The prespecified primary outcome was annualized Medicare Part A and B expenditures per beneficiary per month (PBPM). Secondary outcomes included expenditure categories, utilization (eg, hospitalizations), and claims-based quality-of-care process and outcome measures (eg, recommended tests for patients with diabetes and unplanned readmissions). RESULTS: Among the CPC+ patients, 5% were Black, 3% were Hispanic, 87% were White, and 5% were of other races (including Asian/Other Pacific Islander and American Indian); 85% of CPC+ patients were older than 65 years and 58% were female. CPC+ was associated with no discernible changes in the total expenditures (track 1: $1.1 PBPM [90% CI, –$4.3 to $6.6], P = .74; track 2: $1.3 [90% CI, −$5 to $7.7], P = .73), and with increases in expenditures including enhanced payments (track 1: $13 [90% CI, $7 to $18], P 
doi_str_mv 10.1001/jama.2023.24712
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10777250</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ama_id>2813197</ama_id><sourcerecordid>2902968231</sourcerecordid><originalsourceid>FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3</originalsourceid><addsrcrecordid>eNpdkd1L5DAUxcOi7Iy6zwv7IAVf9sGOuUmbpE8iw_oBii4z8yaEtL11OvRjTNoB_3tTq-JuXi7h_M7lHg4hP4HOgFI425jazBhlfMYiCewbmULMVcjjRO2RKaWJCmWkogk5cG5D_QMuv5MJV94dCTolj8s1BvO23lpcY-PKHQYPtqyNfQnmxvpP1bvgrs2xCkyTB9doqm49SostNnnZPJ0GC7S7MsNg5fD0Dfvbm6rsXo7IfmEqhz_e5yFZXf5Zzq_D2_urm_nFbWgiSrtQIZhCYBpHmb8pETFAKlDkQjCRCgUJA1mkEMk4iblQOaSSC8mLLBdgjCn4ITkf9277tMY8w6azptLbMYhuTan_VZpyrZ_anQYqpWQx9Rt-v2-w7XOPrtN16TKsKtNg2zvNEsoSoRgHj578h27a3jY-n6dAScVkPFBnI5XZ1jmLxec1QPVQnR6q00N1-q067zj-GuKT_-jKA79GYDB-qEwBh0TyV7Ebm_U</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918782751</pqid></control><display><type>article</type><title>The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality</title><source>American Medical Association Journals</source><creator>Singh, Pragya ; Fu, Ning ; Dale, Stacy ; Orzol, Sean ; Laird, Jessica ; Markovitz, Amanda ; Shin, Eunhae ; O’Malley, Ann S ; McCall, Nancy ; Day, Timothy J</creator><creatorcontrib>Singh, Pragya ; Fu, Ning ; Dale, Stacy ; Orzol, Sean ; Laird, Jessica ; Markovitz, Amanda ; Shin, Eunhae ; O’Malley, Ann S ; McCall, Nancy ; Day, Timothy J</creatorcontrib><description>IMPORTANCE: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models. OBJECTIVE: To test whether CPC+ was associated with lower health care spending and utilization and improved quality of care. DESIGN, SETTING, AND PARTICIPANTS: Difference-in-differences regression models compared changes in outcomes between the year before CPC+ and 5 intervention years for Medicare fee-for-service beneficiaries attributed to CPC+ and comparison practices. Participants included 1373 track 1 (1 549 585 beneficiaries) and 1515 track 2 (5 347 499 beneficiaries) primary care practices that applied to start CPC+ in 2017 and met minimum care delivery and other eligibility requirements. Comparison groups included 5243 track 1 (5 347 499 beneficiaries) and 3783 track 2 (4 507 499 beneficiaries) practices, matched, and weighted to have similar beneficiary-, practice-, and market-level characteristics as CPC+ practices. INTERVENTIONS: Two-track design involving enhanced (higher for track 2) and alternative payments (track 2 only), care delivery requirements (greater for track 2), data feedback, learning, and health information technology support. MAIN OUTCOMES AND MEASURES: The prespecified primary outcome was annualized Medicare Part A and B expenditures per beneficiary per month (PBPM). Secondary outcomes included expenditure categories, utilization (eg, hospitalizations), and claims-based quality-of-care process and outcome measures (eg, recommended tests for patients with diabetes and unplanned readmissions). RESULTS: Among the CPC+ patients, 5% were Black, 3% were Hispanic, 87% were White, and 5% were of other races (including Asian/Other Pacific Islander and American Indian); 85% of CPC+ patients were older than 65 years and 58% were female. CPC+ was associated with no discernible changes in the total expenditures (track 1: $1.1 PBPM [90% CI, –$4.3 to $6.6], P = .74; track 2: $1.3 [90% CI, −$5 to $7.7], P = .73), and with increases in expenditures including enhanced payments (track 1: $13 [90% CI, $7 to $18], P &lt; .001; track 2: $24 [90% CI, $18 to $31], P &lt; .001). Among secondary outcomes, CPC+ was associated with decreases in emergency department visits starting in year 1, and in acute hospitalizations and acute inpatient expenditures in later years. Associations were more favorable for practices also participating in the Medicare Shared Savings Program and independent practices. CPC+ was not associated with meaningful changes in claims-based quality-of-care measures. CONCLUSIONS AND RELEVANCE: Although the timing of the associations of CPC+ with reduced utilization and acute inpatient expenditures was consistent with the theory of change and early focus on episodic care management of CPC+, CPC+ was not associated with a reduction in total expenditures over 5 years. Positive interaction between CPC+ and the Shared Savings Program suggests transformation models might be more successful when provider cost-reduction incentives are aligned across specialties. Further adaptations and testing of primary care transformation models, as well as consideration of the larger context in which they operate, are needed.</description><identifier>ISSN: 0098-7484</identifier><identifier>ISSN: 1538-3598</identifier><identifier>EISSN: 1538-3598</identifier><identifier>DOI: 10.1001/jama.2023.24712</identifier><identifier>PMID: 38100460</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Aged ; Beneficiaries ; Comprehensive Health Care ; Delivery of Health Care ; Diabetes mellitus ; Emergency medical care ; Emergency medical services ; Expenditures ; Fee-for-Service Plans ; Female ; Government programs ; Health care ; Health Expenditures ; Humans ; Information technology ; Male ; Medicare ; Model testing ; Online First ; Original Investigation ; Patients ; Primary care ; Primary Health Care - organization &amp; administration ; Regression analysis ; Regression models ; Transformations ; United States ; Utilization</subject><ispartof>JAMA : the journal of the American Medical Association, 2024-01, Vol.331 (2), p.132-146</ispartof><rights>Copyright American Medical Association Jan 9, 2024</rights><rights>Copyright 2023 American Medical Association. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3</citedby><cites>FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27898,27899</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38100460$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Singh, Pragya</creatorcontrib><creatorcontrib>Fu, Ning</creatorcontrib><creatorcontrib>Dale, Stacy</creatorcontrib><creatorcontrib>Orzol, Sean</creatorcontrib><creatorcontrib>Laird, Jessica</creatorcontrib><creatorcontrib>Markovitz, Amanda</creatorcontrib><creatorcontrib>Shin, Eunhae</creatorcontrib><creatorcontrib>O’Malley, Ann S</creatorcontrib><creatorcontrib>McCall, Nancy</creatorcontrib><creatorcontrib>Day, Timothy J</creatorcontrib><title>The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality</title><title>JAMA : the journal of the American Medical Association</title><addtitle>JAMA</addtitle><description>IMPORTANCE: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models. OBJECTIVE: To test whether CPC+ was associated with lower health care spending and utilization and improved quality of care. DESIGN, SETTING, AND PARTICIPANTS: Difference-in-differences regression models compared changes in outcomes between the year before CPC+ and 5 intervention years for Medicare fee-for-service beneficiaries attributed to CPC+ and comparison practices. Participants included 1373 track 1 (1 549 585 beneficiaries) and 1515 track 2 (5 347 499 beneficiaries) primary care practices that applied to start CPC+ in 2017 and met minimum care delivery and other eligibility requirements. Comparison groups included 5243 track 1 (5 347 499 beneficiaries) and 3783 track 2 (4 507 499 beneficiaries) practices, matched, and weighted to have similar beneficiary-, practice-, and market-level characteristics as CPC+ practices. INTERVENTIONS: Two-track design involving enhanced (higher for track 2) and alternative payments (track 2 only), care delivery requirements (greater for track 2), data feedback, learning, and health information technology support. MAIN OUTCOMES AND MEASURES: The prespecified primary outcome was annualized Medicare Part A and B expenditures per beneficiary per month (PBPM). Secondary outcomes included expenditure categories, utilization (eg, hospitalizations), and claims-based quality-of-care process and outcome measures (eg, recommended tests for patients with diabetes and unplanned readmissions). RESULTS: Among the CPC+ patients, 5% were Black, 3% were Hispanic, 87% were White, and 5% were of other races (including Asian/Other Pacific Islander and American Indian); 85% of CPC+ patients were older than 65 years and 58% were female. CPC+ was associated with no discernible changes in the total expenditures (track 1: $1.1 PBPM [90% CI, –$4.3 to $6.6], P = .74; track 2: $1.3 [90% CI, −$5 to $7.7], P = .73), and with increases in expenditures including enhanced payments (track 1: $13 [90% CI, $7 to $18], P &lt; .001; track 2: $24 [90% CI, $18 to $31], P &lt; .001). Among secondary outcomes, CPC+ was associated with decreases in emergency department visits starting in year 1, and in acute hospitalizations and acute inpatient expenditures in later years. Associations were more favorable for practices also participating in the Medicare Shared Savings Program and independent practices. CPC+ was not associated with meaningful changes in claims-based quality-of-care measures. CONCLUSIONS AND RELEVANCE: Although the timing of the associations of CPC+ with reduced utilization and acute inpatient expenditures was consistent with the theory of change and early focus on episodic care management of CPC+, CPC+ was not associated with a reduction in total expenditures over 5 years. Positive interaction between CPC+ and the Shared Savings Program suggests transformation models might be more successful when provider cost-reduction incentives are aligned across specialties. Further adaptations and testing of primary care transformation models, as well as consideration of the larger context in which they operate, are needed.</description><subject>Aged</subject><subject>Beneficiaries</subject><subject>Comprehensive Health Care</subject><subject>Delivery of Health Care</subject><subject>Diabetes mellitus</subject><subject>Emergency medical care</subject><subject>Emergency medical services</subject><subject>Expenditures</subject><subject>Fee-for-Service Plans</subject><subject>Female</subject><subject>Government programs</subject><subject>Health care</subject><subject>Health Expenditures</subject><subject>Humans</subject><subject>Information technology</subject><subject>Male</subject><subject>Medicare</subject><subject>Model testing</subject><subject>Online First</subject><subject>Original Investigation</subject><subject>Patients</subject><subject>Primary care</subject><subject>Primary Health Care - organization &amp; administration</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Transformations</subject><subject>United States</subject><subject>Utilization</subject><issn>0098-7484</issn><issn>1538-3598</issn><issn>1538-3598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdkd1L5DAUxcOi7Iy6zwv7IAVf9sGOuUmbpE8iw_oBii4z8yaEtL11OvRjTNoB_3tTq-JuXi7h_M7lHg4hP4HOgFI425jazBhlfMYiCewbmULMVcjjRO2RKaWJCmWkogk5cG5D_QMuv5MJV94dCTolj8s1BvO23lpcY-PKHQYPtqyNfQnmxvpP1bvgrs2xCkyTB9doqm49SostNnnZPJ0GC7S7MsNg5fD0Dfvbm6rsXo7IfmEqhz_e5yFZXf5Zzq_D2_urm_nFbWgiSrtQIZhCYBpHmb8pETFAKlDkQjCRCgUJA1mkEMk4iblQOaSSC8mLLBdgjCn4ITkf9277tMY8w6azptLbMYhuTan_VZpyrZ_anQYqpWQx9Rt-v2-w7XOPrtN16TKsKtNg2zvNEsoSoRgHj578h27a3jY-n6dAScVkPFBnI5XZ1jmLxec1QPVQnR6q00N1-q067zj-GuKT_-jKA79GYDB-qEwBh0TyV7Ebm_U</recordid><startdate>20240109</startdate><enddate>20240109</enddate><creator>Singh, Pragya</creator><creator>Fu, Ning</creator><creator>Dale, Stacy</creator><creator>Orzol, Sean</creator><creator>Laird, Jessica</creator><creator>Markovitz, Amanda</creator><creator>Shin, Eunhae</creator><creator>O’Malley, Ann S</creator><creator>McCall, Nancy</creator><creator>Day, Timothy J</creator><general>American Medical Association</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>7QL</scope><scope>7QP</scope><scope>7TK</scope><scope>7TS</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240109</creationdate><title>The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality</title><author>Singh, Pragya ; Fu, Ning ; Dale, Stacy ; Orzol, Sean ; Laird, Jessica ; Markovitz, Amanda ; Shin, Eunhae ; O’Malley, Ann S ; McCall, Nancy ; Day, Timothy J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Beneficiaries</topic><topic>Comprehensive Health Care</topic><topic>Delivery of Health Care</topic><topic>Diabetes mellitus</topic><topic>Emergency medical care</topic><topic>Emergency medical services</topic><topic>Expenditures</topic><topic>Fee-for-Service Plans</topic><topic>Female</topic><topic>Government programs</topic><topic>Health care</topic><topic>Health Expenditures</topic><topic>Humans</topic><topic>Information technology</topic><topic>Male</topic><topic>Medicare</topic><topic>Model testing</topic><topic>Online First</topic><topic>Original Investigation</topic><topic>Patients</topic><topic>Primary care</topic><topic>Primary Health Care - organization &amp; administration</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Transformations</topic><topic>United States</topic><topic>Utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singh, Pragya</creatorcontrib><creatorcontrib>Fu, Ning</creatorcontrib><creatorcontrib>Dale, Stacy</creatorcontrib><creatorcontrib>Orzol, Sean</creatorcontrib><creatorcontrib>Laird, Jessica</creatorcontrib><creatorcontrib>Markovitz, Amanda</creatorcontrib><creatorcontrib>Shin, Eunhae</creatorcontrib><creatorcontrib>O’Malley, Ann S</creatorcontrib><creatorcontrib>McCall, Nancy</creatorcontrib><creatorcontrib>Day, Timothy J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>JAMA : the journal of the American Medical Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singh, Pragya</au><au>Fu, Ning</au><au>Dale, Stacy</au><au>Orzol, Sean</au><au>Laird, Jessica</au><au>Markovitz, Amanda</au><au>Shin, Eunhae</au><au>O’Malley, Ann S</au><au>McCall, Nancy</au><au>Day, Timothy J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality</atitle><jtitle>JAMA : the journal of the American Medical Association</jtitle><addtitle>JAMA</addtitle><date>2024-01-09</date><risdate>2024</risdate><volume>331</volume><issue>2</issue><spage>132</spage><epage>146</epage><pages>132-146</pages><issn>0098-7484</issn><issn>1538-3598</issn><eissn>1538-3598</eissn><abstract>IMPORTANCE: Implemented in 18 regions, Comprehensive Primary Care Plus (CPC+) was the largest US primary care delivery model ever tested. Understanding its association with health outcomes is critical in designing future transformation models. OBJECTIVE: To test whether CPC+ was associated with lower health care spending and utilization and improved quality of care. DESIGN, SETTING, AND PARTICIPANTS: Difference-in-differences regression models compared changes in outcomes between the year before CPC+ and 5 intervention years for Medicare fee-for-service beneficiaries attributed to CPC+ and comparison practices. Participants included 1373 track 1 (1 549 585 beneficiaries) and 1515 track 2 (5 347 499 beneficiaries) primary care practices that applied to start CPC+ in 2017 and met minimum care delivery and other eligibility requirements. Comparison groups included 5243 track 1 (5 347 499 beneficiaries) and 3783 track 2 (4 507 499 beneficiaries) practices, matched, and weighted to have similar beneficiary-, practice-, and market-level characteristics as CPC+ practices. INTERVENTIONS: Two-track design involving enhanced (higher for track 2) and alternative payments (track 2 only), care delivery requirements (greater for track 2), data feedback, learning, and health information technology support. MAIN OUTCOMES AND MEASURES: The prespecified primary outcome was annualized Medicare Part A and B expenditures per beneficiary per month (PBPM). Secondary outcomes included expenditure categories, utilization (eg, hospitalizations), and claims-based quality-of-care process and outcome measures (eg, recommended tests for patients with diabetes and unplanned readmissions). RESULTS: Among the CPC+ patients, 5% were Black, 3% were Hispanic, 87% were White, and 5% were of other races (including Asian/Other Pacific Islander and American Indian); 85% of CPC+ patients were older than 65 years and 58% were female. CPC+ was associated with no discernible changes in the total expenditures (track 1: $1.1 PBPM [90% CI, –$4.3 to $6.6], P = .74; track 2: $1.3 [90% CI, −$5 to $7.7], P = .73), and with increases in expenditures including enhanced payments (track 1: $13 [90% CI, $7 to $18], P &lt; .001; track 2: $24 [90% CI, $18 to $31], P &lt; .001). Among secondary outcomes, CPC+ was associated with decreases in emergency department visits starting in year 1, and in acute hospitalizations and acute inpatient expenditures in later years. Associations were more favorable for practices also participating in the Medicare Shared Savings Program and independent practices. CPC+ was not associated with meaningful changes in claims-based quality-of-care measures. CONCLUSIONS AND RELEVANCE: Although the timing of the associations of CPC+ with reduced utilization and acute inpatient expenditures was consistent with the theory of change and early focus on episodic care management of CPC+, CPC+ was not associated with a reduction in total expenditures over 5 years. Positive interaction between CPC+ and the Shared Savings Program suggests transformation models might be more successful when provider cost-reduction incentives are aligned across specialties. Further adaptations and testing of primary care transformation models, as well as consideration of the larger context in which they operate, are needed.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>38100460</pmid><doi>10.1001/jama.2023.24712</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0098-7484
ispartof JAMA : the journal of the American Medical Association, 2024-01, Vol.331 (2), p.132-146
issn 0098-7484
1538-3598
1538-3598
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10777250
source American Medical Association Journals
subjects Aged
Beneficiaries
Comprehensive Health Care
Delivery of Health Care
Diabetes mellitus
Emergency medical care
Emergency medical services
Expenditures
Fee-for-Service Plans
Female
Government programs
Health care
Health Expenditures
Humans
Information technology
Male
Medicare
Model testing
Online First
Original Investigation
Patients
Primary care
Primary Health Care - organization & administration
Regression analysis
Regression models
Transformations
United States
Utilization
title The Comprehensive Primary Care Plus Model and Health Care Spending, Service Use, and Quality
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-26T12%3A35%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Comprehensive%20Primary%20Care%20Plus%20Model%20and%20Health%20Care%20Spending,%20Service%20Use,%20and%20Quality&rft.jtitle=JAMA%20:%20the%20journal%20of%20the%20American%20Medical%20Association&rft.au=Singh,%20Pragya&rft.date=2024-01-09&rft.volume=331&rft.issue=2&rft.spage=132&rft.epage=146&rft.pages=132-146&rft.issn=0098-7484&rft.eissn=1538-3598&rft_id=info:doi/10.1001/jama.2023.24712&rft_dat=%3Cproquest_pubme%3E2902968231%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a400t-8e1af6eb54c46096511b6e6d6626b6819217fb147595368d1b73673fcd61aaaf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2918782751&rft_id=info:pmid/38100460&rfr_iscdi=true