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Culhane-Pera KA, Pergament SL, Kasouaher MY, Pattock AM, Dhore N, Kaigama CN, Alison M, Scandrett M, Thao MS, Satin DJ. Diverse community leaders' perspectives about quality primary healthcare and healthcare measurement: Qualitative community-based participatory research. Int J Equity Health 2021; 20:226. [PMID: 34663330 PMCID: PMC8521261 DOI: 10.1186/s12939-021-01558-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 09/23/2021] [Indexed: 11/18/2022] Open
Abstract
Background Healthcare quality measurements in the United States illustrate disparities by racial/ethnic group, socio-economic class, and geographic location. Redressing healthcare inequities, including measurement of and reimbursement for healthcare quality, requires partnering with communities historically excluded from decision-making. Quality healthcare is measured according to insurers, professional organizations and government agencies, with little input from diverse communities. This community-based participatory research study aimed to amplify the voices of community leaders from seven diverse urban communities in Minneapolis-Saint Paul Minnesota, view quality healthcare and financial reimbursement based on quality metric scores. Methods A Community Engagement Team consisting of one community member from each of seven urban communities —Black/African American, Lesbian-Gay-Bisexual-Transgender-Queer-Two Spirit, Hmong, Latino/a/x, Native American, Somali, and White—and two community-based researchers conducted listening sessions with 20 community leaders about quality primary healthcare. Transcripts were inductively analyzed and major themes were identified. Results Listening sessions produced three major themes, with recommended actions for primary care clinics. #1: Quality Clinics Utilize Structures and Processes that Support Healthcare Equity. #2: Quality Clinics Offer Effective Relationships, Education, and Health Promotion. #3: Funding Based on Current Quality Measures Perpetuates Health Inequities. Conclusion Community leaders identified ideal characteristics of quality primary healthcare, most of which are not currently measured. They expressed concern that linking clinic payment with quality metrics without considering social and structural determinants of health perpetuates social injustice in healthcare.
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Affiliation(s)
| | | | - Maiyia Y Kasouaher
- Program in Health Disparities Research, University of Minnesota, 717 Delaware St. SE, Minneapolis, MN, 55414, USA
| | - Andrew M Pattock
- Department of Family and Community Medicine, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
| | - Naima Dhore
- Minnesota Community Care, Inc., 895 E 7th, St. Saint Paul, MN, 55106, USA
| | - Cindy N Kaigama
- Minnesota Community Care, Inc., 895 E 7th, St. Saint Paul, MN, 55106, USA
| | - Marcela Alison
- Minnesota Community Care, Inc., 895 E 7th, St. Saint Paul, MN, 55106, USA
| | - Michael Scandrett
- Minnesota Health Care Safety Net Coalition, 1113 East Franklin Ave #202B, Minneapolis, MN, 55404, USA
| | - Mai See Thao
- Department of Anthropology, Global Religions and Cultures, University of Wisconsin-Oshkosh, 800 Algoma Blvd, Oshkosh, WI, 54901, USA
| | - David J Satin
- Department of Family and Community Medicine, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN, 55455, USA
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Fakeye OA, Khanna N, Hsu YJ, Marsteller JA. Impact of a Statewide Multi-Payer Patient-Centered Medical Home Program on Antihypertensive Medication Adherence. Popul Health Manag 2021; 25:309-316. [PMID: 34609933 DOI: 10.1089/pop.2021.0172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Evidence suggests that the patient-centered medical home (PCMH) model of primary care improves management of chronic disease, but there is limited research contrasting this model's effect when financed by a single payer versus multiple payers, and among patients with different types of health insurance. This study evaluates the impact of a statewide medical home demonstration, the Maryland Multi-Payer PCMH Program (MMPP), on adherence to antihypertensive medication therapy relative to non-PCMH primary care and to the PCMH model when financed by a single payer. The authors used a difference-in-differences analytic design to analyze changes in medication possession ratio for antihypertensive medications among Medicaid-insured and privately insured non-elderly adult patients attributed to primary care practices in the MMPP ("multi-payer PCMHs"), medical homes in Maryland that participated in a regional PCMH program funded by a single private payer ("single-payer PCMHs"), and non-PCMH practices in Maryland. Comparison sites were matched to multi-payer PCMHs using propensity scores based on practice characteristics, location, and aggregated provider characteristics. Multi-payer PCMHs performed better on antihypertensive medication adherence for both Medicaid-insured and privately insured patients relative to single-payer PCMHs. Statistically significant effects were not observed consistently until the second year of the demonstration. There were negligible differences in outcome trends between multi-payer medical homes and matched non-PCMH practices. Findings indicate that health care delivery innovations may yield superior population health outcomes under multi-payer financing compared to when such initiatives are financed by a single payer.
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Affiliation(s)
- Oludolapo A Fakeye
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Niharika Khanna
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Yea-Jen Hsu
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jill A Marsteller
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Khanna N, Gritzer L, Klyushnenkova E, Montgomery R, Dark M, Shah S, Shaya F. Practice Transformation Analytics Dashboard for Clinician Engagement. Ann Fam Med 2019; 17:S73-S76. [PMID: 31405880 PMCID: PMC6827660 DOI: 10.1370/afm.2382] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 11/21/2018] [Accepted: 01/31/2019] [Indexed: 01/08/2023] Open
Abstract
PURPOSE Practice transformation in primary care is a movement toward data-driven redesign of care, patient-centered care delivery, and practitioner activation. A critical requirement for achieving practice transformation is availability of tools to engage practices. METHODS A total of 48 practices with 109 practice sites participate in the Garden Practice Transformation Network in Maryland (GPTN-Maryland) to work together toward practice transformation and readiness for the Quality Payment Program implemented by the Centers for Medicare & Medicaid Services. Practice-specific data are collected in GPTN-Maryland by practices themselves and by practice transformation coaches, and are provided by the Centers for Medicare & Medicaid Services. These data are overwhelming to practices when presented piecemeal or together, a barrier to practices taking action to ensure progress on the transformation spectrum. The GPTN-Maryland team therefore created a practice transformation analytics dashboard as a tool to present data that are actionable in care redesign. RESULTS When practices reviewed their data provided by the Centers for Medicare & Medicaid Services using the dashboard, they were often seeing, for the first time, cost data on their patients, trends in their key performance indicator data, and their practice transformation phase. Overall, 72% of practices found the dashboard engaging, and 48% found the data as presented to be actionable. CONCLUSIONS The practice transformation analytics dashboard encourages practices to advance in practice transformation and improvement of patient care delivery. This tool engaged practices in discussions about data, care redesign, and costs of care, and about how to develop sustainable change within their practices. Research is needed to study the impact of the dashboard on costs and quality of care delivery.
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Affiliation(s)
- Niharika Khanna
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Lauren Gritzer
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Elena Klyushnenkova
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | | | - Michael Dark
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Savyasachi Shah
- University of Maryland School of Pharmacy, Baltimore, Maryland
| | - Fadia Shaya
- University of Maryland School of Pharmacy, Baltimore, Maryland
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