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Siegel KR, Ali MK, Ackermann RT, Black B, Huguet N, Kho A, Mangione CM, Nauman E, Ross-Degnan D, Schillinger D, Shi L, Wharam JF, Duru OK. Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network. Curr Diab Rep 2022; 22:393-403. [PMID: 35864324 PMCID: PMC9303841 DOI: 10.1007/s11892-022-01480-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.
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Affiliation(s)
- Karen R Siegel
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Ronald T Ackermann
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Bernard Black
- Pritzker School of Law, Institute for Policy Research, and Kellogg School of Management, Northwestern University, Evanston, IL, USA
| | - Nathalie Huguet
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Abel Kho
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Carol M Mangione
- David Geffen School of Medicine at UCLA and Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | | | - Dennis Ross-Degnan
- Duke University Department of Medicine and Duke-Margolis Center for Health Policy, Duke University, Durham, NC, USA
| | - Dean Schillinger
- Division of General Internal Medicine and Center for Vulnerable Populations, San Francisco General Hospital and University of California San Francisco, San Francisco, CA, USA
| | - Lizheng Shi
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - J Frank Wharam
- Duke University Department of Medicine and Duke-Margolis Center for Health Policy, Duke University, Durham, NC, USA
| | - O Kenrik Duru
- David Geffen School of Medicine at UCLA and Fielding School of Public Health, UCLA, Los Angeles, CA, USA
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Siegel KR, Gregg EW, Duru OK, Shi L, Mangione CM, Thornton PL, Clauser S, Ali MK. Time to start addressing (and not just describing) the social determinants of diabetes: results from the NEXT-D 2.0 network. BMJ Open Diabetes Res Care 2021; 9:e002524. [PMID: 34933875 PMCID: PMC8679065 DOI: 10.1136/bmjdrc-2021-002524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Karen R Siegel
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Obidiugwu Kenrik Duru
- Division of General Internal Medicine and Health Services Research, University of California Los Angeles, Los Angeles, California, USA
| | - Lizheng Shi
- Tulane University School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Carol M Mangione
- Division of General Internal Medicine, Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Pamela L Thornton
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
| | - Steve Clauser
- Patient-Centered Outcomes Research Institute, Washington, DC, USA
| | - Mohammed K Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
- Department of Global Heatlh, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Mayer V, Mijanovich T, Egorova N, Flory J, Mushlin A, Calvo M, Deshpande R, Siscovick D. Impact of New York State's Health Home program on access to care among patients with diabetes. BMJ Open Diabetes Res Care 2021; 9:9/Suppl_1/e002204. [PMID: 34933873 PMCID: PMC8679110 DOI: 10.1136/bmjdrc-2021-002204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 07/04/2021] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION Access to care is essential for patients with diabetes to maintain health and prevent complications, and is important for health equity. New York State's Health Homes (HHs) provide care management services to Medicaid-insured patients with chronic conditions, including diabetes, and aim to improve quality of care and outcomes. There is inconsistent evidence on the impact of HHs, and care management programs more broadly, on access to care. RESEARCH DESIGN AND METHODS Using a cohort of patients with diabetes derived from electronic health records from the INSIGHT Clinical Research Network, we analyzed Medicaid data for HH enrollees and a matched comparison group of HH non-enrollees. We estimated HH impacts on several access measures using natural experiment methods. RESULTS We identified and matched 11 646 HH enrollees; patients were largely non-Hispanic Black (29.9%) and Hispanic (48.7%), and had high rates of dual eligibility (33.0%), Supplemental Security Income disability enrollment (49.1%), and multiple comorbidities. In the 12 months following HH enrollment, HH enrollees had one more month of Medicaid coverage (p<0.001) and 4.6 more outpatient visits than expected (p<0.001, evenly distributed between primary and specialty care). There were also positive impacts on the proportions of patients with follow-up visits within 7 days (4 percentage points (pp), p<0.001) and 30 days (6pp, p<0.001) after inpatient care, and on the proportion of patients with follow-up visits within 30 days after emergency department (ED) care (4pp, p<0.001). We did not find meaningful differences in continuity of care. We found small positive impacts on the proportion of patients with an inpatient visit and the proportion with an ED visit. CONCLUSIONS New York State's HH program improved access to care for Medicaid recipients with diabetes. These findings have implications for New York State Medicaid as well as other providers and care management programs.
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Affiliation(s)
- Victoria Mayer
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Tod Mijanovich
- Department of Applied Statistics, Social Sciences, and Humanities, Steinhardt School, New York University, New York City, New York, USA
| | - Natalia Egorova
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - James Flory
- Endocrinology Service, Department of Subspecialty Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Alvin Mushlin
- Departments of Population Health Sciences and Medicine, Weill Cornell Medicine, New York City, New York, USA
| | - Michele Calvo
- Research, Evaluation & Policy, New York Academy of Medicine, New York City, New York, USA
| | - Richa Deshpande
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - David Siscovick
- Research, Evaluation & Policy, New York Academy of Medicine, New York City, New York, USA
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Forthal S, Choi S, Yerneni R, Zhang Z, Siscovick D, Egorova N, Mijanovich T, Mayer V, Neighbors C. Substance Use Disorders and Diabetes Care: Lessons From New York Health Homes. Med Care 2021; 59:881-887. [PMID: 34149016 PMCID: PMC8446308 DOI: 10.1097/mlr.0000000000001602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Individuals that have both diabetes and substance use disorder (SUD) are more likely to have adverse health outcomes and are less likely to receive high quality diabetes care, compared with patients without coexisting SUD. Care management programs for patients with chronic diseases, such as diabetes and SUD, have been associated with improvements in the process and outcomes of care. OBJECTIVE The aim was to assess the impact of having coexisting SUD on diabetes process of care metrics. RESEARCH DESIGN Preintervention/postintervention triple difference analysis. SUBJECTS Participants in the New York State Medicaid Health Home (NYS-HH) care management program who have diabetes and a propensity-matched comparison group of nonparticipants (N=37,260). MEASURES Process of care metrics for patients with diabetes: an eye (retinal) exam, HbA1c test, medical attention (screening laboratory measurements) for nephropathy, and receiving all 3 in the past year. RESULTS Before enrollment in NYS-HH, individuals with comorbid SUD had fewer claims for eye exams and HbA1c tests compared with those without comorbid SUD. Diabetes process of care improvements associated with NYS-HH enrollment were larger among those with comorbid SUD [eye exam: adjusted odds ratio (AOR)=1.08; 95% confidence interval (CI): 1.01-1.15]; HbA1c test: AOR=1.20 (95% CI: 1.11-1.29); medical attention for nephropathy: AOR=1.21 (95% CI: 1.12-1.31); all 3: AOR=1.09 (95% CI: 1.02-1.16). CONCLUSIONS Individuals with both diabetes and SUD may benefit moderately more from care management than those without comorbid SUD. Individuals with both SUD and diabetes who are not enrolled in care management may be missing out on crucial diabetes care.
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Affiliation(s)
- Sarah Forthal
- Department of Data Science, Partnership to End Addiction*, New York, NY
| | - Sugy Choi
- Department of Data Science, Partnership to End Addiction*, New York, NY
- Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA
| | - Rajeev Yerneni
- Department of Data Science, Partnership to End Addiction*, New York, NY
| | - Zhongjie Zhang
- Department of Data Science, Partnership to End Addiction*, New York, NY
| | | | - Natalia Egorova
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Todor Mijanovich
- Department of Applied Statistics, Social Science, and Humanities, NYU Steinhardt School of Culture, Education and Human Development, New York, NY
| | - Victoria Mayer
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Charles Neighbors
- Department of Data Science, Partnership to End Addiction*, New York, NY
- Department of Population Health, NYU Grossman School of Medicine, New York, NY
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Filling the Public Health Science Gaps for Diabetes With Natural Experiments. Med Care 2020; 58 Suppl 6 Suppl 1:S1-S3. [PMID: 32412947 DOI: 10.1097/mlr.0000000000001330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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