| Literature DB >> 35276633 |
Carly Amon1, Jennifer King2, Jordan Colclasure3, Kim Hodge4, C Annette DuBard5.
Abstract
BACKGROUND: Population risk segmentation and technology-enabled preventive care workflows are core competencies for Accountable Care Organizations (ACOs) that may also have relevance for public health emergencies.Entities:
Keywords: Accountable care organization; COVID-19; Population health
Mesh:
Year: 2022 PMID: 35276633 PMCID: PMC8903517 DOI: 10.1016/j.hjdsi.2022.100623
Source DB: PubMed Journal: Healthc (Amst) ISSN: 2213-0764
Components of the Stay Well at Home initiative and visit.
| Key Components | Toolkit Resources |
|---|---|
| Patient education: COVID precautions | CDC guidance and COVID-19 fact sheets available in 30 languages |
| Medications and Durable Medical Equipment | Tips for identifying barriers to medication adherence and assuring uninterrupted access to medications and supplies |
| Chronic Condition Management | Guidance and resources for patient self-monitoring of chronic conditions including blood pressure, diabetes, heart failure, and COPD Strategies for telehealth physical exam Evaluating appropriateness of upcoming specialist visits, testing, or procedures, and establishing safest plan of care |
| Advance Care Planning | COVID-19 specific conversation starters for discussing end of life care State-specific legal documents for advance care planning |
| Social Needs and Behavioral Health | Assessments for food security, housing, and safety at home Resources for combating loneliness and anxiety Tobacco and substance use screening, counseling, and treatment options |
Description of study patient population.
| Study Population Demographics and COVID-19 Risk Factors Prevalence (N = 302,125) | |
|---|---|
| Age | |
| Mean | 76 |
| Sex | |
| Female | 57% |
| Male | 43% |
| Race | |
| White | 84% |
| Black | 11% |
| Other | 2% |
| Unknown | 3% |
| COVID-19 Vulnerability | |
| High | 64% |
| Very High | 36% |
| Chronic Disease Diagnoses | |
| Cancer | 22% |
| Chronic Obstructive Pulmonary Disease | 25% |
| Cardiovascular Disease | 37% |
| Diabetes | 41% |
| Hypertension | 90% |
| BP Control | |
| Controlled | 75% |
| Uncontrolled (>160/100) | 5% |
| Unknown | 20% |
| Study Population Practice Characteristics (N = 302,125) | |
| ACO Start Year | |
| 2014 | 2% |
| 2015 | 2% |
| 2016 | 11% |
| 2017 | 19% |
| 2018 | 11% |
| 2019 | 27% |
| 2020 | 27% |
| Practice Type | |
| Private Practice | 50% |
| FQHC/RHC | 20% |
| Multispecialty | 16% |
| Other | 14% |
| Metropolitan Statistical Area (MSA) Status | |
| Metropolitan | 70% |
| Non-metropolitan | 30% |
| Practice Size (MSSP Lives Under Management) | |
| Small (0–500) | 14% |
| Medium (501–2000) | 52% |
| Large (>2000) | 34% |
| Value Based Care Penetration (mean) | 27% |
| Baseline AWV Rate (mean) | 64% |
| Local Prevalence of Influenza-like-Illness (mean) | 6% |
Fig. 1Distribution of Practice Reach Rate.