Collaborating toward equity in Pennsylvania: The Age‐Friendly Care, PA project

Objective To collaboratively implement the age‐friendly health systems framework, known as the 4Ms: What Matters, Medication, Mentation, and Mobility, at The Primary Health Network (PHN), a federally qualified health center. Data Sources Data were collected from PHN electronic medical records (EMRs)...

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Veröffentlicht in:Health services research 2023-02, Vol.58 (1), p.78-88
Hauptverfasser: Berish, Diane, Husser, Erica, Knecht‐Fredo, Jenny, Sabol, Jacqueline, Garrow, George, Hupcey, Judith, Fick, Donna
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container_end_page 88
container_issue 1
container_start_page 78
container_title Health services research
container_volume 58
creator Berish, Diane
Husser, Erica
Knecht‐Fredo, Jenny
Sabol, Jacqueline
Garrow, George
Hupcey, Judith
Fick, Donna
description Objective To collaboratively implement the age‐friendly health systems framework, known as the 4Ms: What Matters, Medication, Mentation, and Mobility, at The Primary Health Network (PHN), a federally qualified health center. Data Sources Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys. Study Design The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data. Data Collection Methods EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups. Principal Findings All nine process outcomes increased from baseline to follow‐up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p 
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Data Sources Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys. Study Design The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data. Data Collection Methods EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups. Principal Findings All nine process outcomes increased from baseline to follow‐up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p &lt; 0.0001), Advance Care Planning (New on file, pilot 8%, comparison 2%; Discussed with patient, pilot 18%, comparison 13%; Patient declined, pilot 0%, comparison 0%; p = 0.0001), Dementia Screening (pilot 24%, comparison 12%; p &lt; 0.0001), Fall Risk Management (pilot 43%, comparison 10%; p &lt; 0.0001), and Mobility Goal (pilot 19%, comparison 9%; p &lt; 0.0001); and lower rates on High‐Risk Medication Elimination (pilot 54%, comparison, 63%, p &lt; 0.02). Conclusions Access to high‐quality geriatric care for rural older adults can be improved by increasing health care professionals' knowledge of the 4Ms, beginning with its incorporation into the AWV.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.14073</identifier><identifier>PMID: 36129432</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Age ; Aged ; Care plans ; Clinical outcomes ; Computerized medical records ; Data capture ; Data collection ; Delivery of Health Care ; Dementia ; Dementia disorders ; Drugs ; Educational programs ; Elderly ; Electronic health records ; Electronic medical records ; Elimination ; Evaluation ; Forecasts and trends ; Health aspects ; Health care ; Health care facilities ; Health care reform ; health care systems ; Health education ; health equity ; Health facilities ; Health Personnel ; health services for older adults ; Humans ; Market trend/market analysis ; Medical personnel ; Medical records ; Medical screening ; Mobility ; Older people ; Patient communication ; Patients ; Pennsylvania ; Primary care ; Quality assurance ; Quality control ; Quality of Health Care ; Risk management ; Rural areas ; Rural communities ; rural population ; Surveys and Questionnaires</subject><ispartof>Health services research, 2023-02, Vol.58 (1), p.78-88</ispartof><rights>2022 Health Research and Educational Trust.</rights><rights>COPYRIGHT 2023 Health Research and Educational Trust</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7133-df2eba2f3408003ec572943eefcf999886baf94175dfbe84c40d5d61da3ee98a3</citedby><cites>FETCH-LOGICAL-c7133-df2eba2f3408003ec572943eefcf999886baf94175dfbe84c40d5d61da3ee98a3</cites><orcidid>0000-0001-9224-5950</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843075/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843075/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27901,27902,30976,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36129432$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berish, Diane</creatorcontrib><creatorcontrib>Husser, Erica</creatorcontrib><creatorcontrib>Knecht‐Fredo, Jenny</creatorcontrib><creatorcontrib>Sabol, Jacqueline</creatorcontrib><creatorcontrib>Garrow, George</creatorcontrib><creatorcontrib>Hupcey, Judith</creatorcontrib><creatorcontrib>Fick, Donna</creatorcontrib><title>Collaborating toward equity in Pennsylvania: The Age‐Friendly Care, PA project</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective To collaboratively implement the age‐friendly health systems framework, known as the 4Ms: What Matters, Medication, Mentation, and Mobility, at The Primary Health Network (PHN), a federally qualified health center. Data Sources Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys. Study Design The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data. Data Collection Methods EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups. Principal Findings All nine process outcomes increased from baseline to follow‐up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p &lt; 0.0001), Advance Care Planning (New on file, pilot 8%, comparison 2%; Discussed with patient, pilot 18%, comparison 13%; Patient declined, pilot 0%, comparison 0%; p = 0.0001), Dementia Screening (pilot 24%, comparison 12%; p &lt; 0.0001), Fall Risk Management (pilot 43%, comparison 10%; p &lt; 0.0001), and Mobility Goal (pilot 19%, comparison 9%; p &lt; 0.0001); and lower rates on High‐Risk Medication Elimination (pilot 54%, comparison, 63%, p &lt; 0.02). Conclusions Access to high‐quality geriatric care for rural older adults can be improved by increasing health care professionals' knowledge of the 4Ms, beginning with its incorporation into the AWV.</description><subject>Age</subject><subject>Aged</subject><subject>Care plans</subject><subject>Clinical outcomes</subject><subject>Computerized medical records</subject><subject>Data capture</subject><subject>Data collection</subject><subject>Delivery of Health Care</subject><subject>Dementia</subject><subject>Dementia disorders</subject><subject>Drugs</subject><subject>Educational programs</subject><subject>Elderly</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Elimination</subject><subject>Evaluation</subject><subject>Forecasts and trends</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Health care facilities</subject><subject>Health care reform</subject><subject>health care systems</subject><subject>Health education</subject><subject>health equity</subject><subject>Health facilities</subject><subject>Health Personnel</subject><subject>health services for older adults</subject><subject>Humans</subject><subject>Market trend/market analysis</subject><subject>Medical personnel</subject><subject>Medical records</subject><subject>Medical screening</subject><subject>Mobility</subject><subject>Older people</subject><subject>Patient communication</subject><subject>Patients</subject><subject>Pennsylvania</subject><subject>Primary care</subject><subject>Quality assurance</subject><subject>Quality control</subject><subject>Quality of Health Care</subject><subject>Risk management</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>rural population</subject><subject>Surveys and Questionnaires</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkt9u0zAUxi0EYl3hmjsUCQmBtHR2nDgJF0hVtT9IlVbBuLYc5yR1ldqdnWzrHY_AM_IkuLSUBlXgSLZ08jtfvvh8CL0ieET8OidxmoQsTemIxDilT9BgX3mKBhiTNMxJFJ-gU-cWGOOMZvFzdEIZifKYRgM0m5imEYWxolW6DlrzIGwZwF2n2nWgdDADrd26uRdaiQ_B7RyCcQ0_vn2_tAp02ayDibBwFszGwcqaBcj2BXpWicbBy905RF8vL24n1-H05urTZDwNZUooDcsqgkJEFY1xhjEFmaQbRwCVrPI8zzJWiCqPSZqUVQFZLGNcJiUjpfBMngk6RB-3uquuWEIpQbdWNHxl1VLYNTdC8f4brea8Nvc8z2KK08QLvNsJWHPXgWv5UjkJ_jY0mM7xKCUsiRjzdofozV_ownRW-9_zFEtyL8fYH6oWDXClK-O_KzeifJzSjOSZl_NUeISqQYM3aTRUypd7_OgI758SlkoebXjfa_BMC49tLTrneHY1_ZeZHSt9JqAG7gc2uenzbw_4OYimnTvTdK0y2vXBswOw6JzS4PzmVD1v3dZLDz_f4tIa5yxU-zkSzDdB55tY802s-a-g-47Xh-Pf87-T7QG2BR78_az_p8evL7583ir_BJJwBD0</recordid><startdate>202302</startdate><enddate>202302</enddate><creator>Berish, Diane</creator><creator>Husser, Erica</creator><creator>Knecht‐Fredo, Jenny</creator><creator>Sabol, Jacqueline</creator><creator>Garrow, George</creator><creator>Hupcey, Judith</creator><creator>Fick, Donna</creator><general>Blackwell Publishing Ltd</general><general>Health Research and Educational Trust</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>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9224-5950</orcidid></search><sort><creationdate>202302</creationdate><title>Collaborating toward equity in Pennsylvania: The Age‐Friendly Care, PA project</title><author>Berish, Diane ; 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Data Sources Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys. Study Design The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data. Data Collection Methods EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups. Principal Findings All nine process outcomes increased from baseline to follow‐up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p &lt; 0.0001), Advance Care Planning (New on file, pilot 8%, comparison 2%; Discussed with patient, pilot 18%, comparison 13%; Patient declined, pilot 0%, comparison 0%; p = 0.0001), Dementia Screening (pilot 24%, comparison 12%; p &lt; 0.0001), Fall Risk Management (pilot 43%, comparison 10%; p &lt; 0.0001), and Mobility Goal (pilot 19%, comparison 9%; p &lt; 0.0001); and lower rates on High‐Risk Medication Elimination (pilot 54%, comparison, 63%, p &lt; 0.02). Conclusions Access to high‐quality geriatric care for rural older adults can be improved by increasing health care professionals' knowledge of the 4Ms, beginning with its incorporation into the AWV.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>36129432</pmid><doi>10.1111/1475-6773.14073</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9224-5950</orcidid><oa>free_for_read</oa></addata></record>
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects Age
Aged
Care plans
Clinical outcomes
Computerized medical records
Data capture
Data collection
Delivery of Health Care
Dementia
Dementia disorders
Drugs
Educational programs
Elderly
Electronic health records
Electronic medical records
Elimination
Evaluation
Forecasts and trends
Health aspects
Health care
Health care facilities
Health care reform
health care systems
Health education
health equity
Health facilities
Health Personnel
health services for older adults
Humans
Market trend/market analysis
Medical personnel
Medical records
Medical screening
Mobility
Older people
Patient communication
Patients
Pennsylvania
Primary care
Quality assurance
Quality control
Quality of Health Care
Risk management
Rural areas
Rural communities
rural population
Surveys and Questionnaires
title Collaborating toward equity in Pennsylvania: The Age‐Friendly Care, PA project
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