Skip to main content
Top
Published in: Implementation Science 1/2017

Open Access 01-12-2017 | Study protocol

Protocol for the analysis of a natural experiment on the impact of the Affordable Care Act on diabetes care in community health centers

Authors: Nathalie Huguet, Heather Angier, Miguel Marino, K. John McConnell, Megan J. Hoopes, Jean P. O’Malley, Lewis A. Raynor, Sonja Likumahuwa-Ackman, Heather Holderness, Jennifer E. DeVoe

Published in: Implementation Science | Issue 1/2017

Login to get access

Abstract

Background

It is hypothesized that Affordable Care Act (ACA) Medicaid expansions could substantially improve access to health insurance and healthcare services for patients at risk for diabetes mellitus (DM), with pre-DM, or already diagnosed with DM. The ACA called for every state to expand Medicaid coverage by 2014. In a 2012 legal challenge, the US Supreme Court ruled that states were not required to implement Medicaid expansions. This 'natural experiment' presents a unique opportunity to learn whether and to what extent Medicaid expansion can affect healthcare access and services for patients with DM risk, pre-DM, or DM.

Methods/design

Data from electronic health records (EHRs) from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) clinical data research network, which has data from >700 community health centers (CHCs), was included in the study. EHR data will be linked to Oregon Medicaid claims data. Data collection will include information on changes in health insurance, service receipt, and health outcomes, spanning 9 years (pre- and post-expansion), comparing states that expanded Medicaid, and those that did not. Patients included in this study will be diagnosed with DM, be at risk for DM, or have pre-DM, between the ages of 19 and 64, with ≥1 ambulatory visit. Sample size is estimated to be roughly 275,000 patients. Biostatistical analyses will include the difference-in-differences (DID) methodology and a generalized linear mixed model. Econometric analyses will include a DID two-part method to calculate the difference in Medicaid expenditures in Oregon among newly insured CHC patients.

Discussion

Findings will have national relevance on DM health services and outcomes and will be shared through national conferences and publications. The findings will provide information needed to impact the policy as it is related to access to health insurance and receipt of healthcare among a vulnerable population.

Trial registration

This project is registered with ClinicalTrials.gov (NCT02685384). Registered 18 May 2016.
Literature
2.
go back to reference Centers for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2011. Centers for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2011.
3.
go back to reference National Center for Chronic Disease Prevention and Health Promotion. National diabetes statistics report, 2014. Atlanta, GA: Centers for Disease Control and Prevention; 2014. National Center for Chronic Disease Prevention and Health Promotion. National diabetes statistics report, 2014. Atlanta, GA: Centers for Disease Control and Prevention; 2014.
6.
go back to reference Gold R, DeVoe J, Shah A, Chauvie S. Insurance continuity and receipt of diabetes preventive care in a network of federally qualified health centers. Med Care. 2009;47(4):431–9.CrossRefPubMedPubMedCentral Gold R, DeVoe J, Shah A, Chauvie S. Insurance continuity and receipt of diabetes preventive care in a network of federally qualified health centers. Med Care. 2009;47(4):431–9.CrossRefPubMedPubMedCentral
9.
go back to reference Levine DA, Allison JJ, Cherrington A, Richman J, Scarinci IC, Houston TK. Disparities in self-monitoring of blood glucose among low-income ethnic minority populations with diabetes. United States Ethn Dis. 2009;19(2):97–103.PubMed Levine DA, Allison JJ, Cherrington A, Richman J, Scarinci IC, Houston TK. Disparities in self-monitoring of blood glucose among low-income ethnic minority populations with diabetes. United States Ethn Dis. 2009;19(2):97–103.PubMed
11.
14.
go back to reference The Henry J. Kaiser Family Foundation. Menlo Park, CA: Summary of the Affordable Care Act; 2013. Contract No.: 8061-02. The Henry J. Kaiser Family Foundation. Menlo Park, CA: Summary of the Affordable Care Act; 2013. Contract No.: 8061-02.
19.
go back to reference Davis MM, Keller S, DeVoe JE, Cohen J. Characteristics and lessons learned from practice-based research networks (PBRNs) in the United States. J Health Care Leadership. 2012;4:107–16. Davis MM, Keller S, DeVoe JE, Cohen J. Characteristics and lessons learned from practice-based research networks (PBRNs) in the United States. J Health Care Leadership. 2012;4:107–16.
20.
go back to reference Mayer K, Appelbaum J, Rogers T, Lo W, Bradford J, Boswell S. The evolution of the Fenway Community Health model. Am J Public Health. 2001;91(6):892–4.CrossRefPubMedPubMedCentral Mayer K, Appelbaum J, Rogers T, Lo W, Bradford J, Boswell S. The evolution of the Fenway Community Health model. Am J Public Health. 2001;91(6):892–4.CrossRefPubMedPubMedCentral
25.
go back to reference DeVoe JE, Marino M, Angier H, O’Malley J, Crawford C, Nelson C, et al. Effect of expanding Medicaid for parents on children’s health insurance coverage: lessons from the Oregon experiment. JAMA Peds. 2015;169(1):e143145.CrossRef DeVoe JE, Marino M, Angier H, O’Malley J, Crawford C, Nelson C, et al. Effect of expanding Medicaid for parents on children’s health insurance coverage: lessons from the Oregon experiment. JAMA Peds. 2015;169(1):e143145.CrossRef
27.
go back to reference Mooy JM, Grootenhuis PA, de Vries H, Kostense PJ, Popp-Snijders C, Bouter LM, et al. Intra-individual variation of glucose, specific insulin and proinsulin concentrations measured by two oral glucose tolerance tests in a general Caucasian population: the Hoorn Study. Diabetologia. 1996;39(3):298–305.CrossRefPubMed Mooy JM, Grootenhuis PA, de Vries H, Kostense PJ, Popp-Snijders C, Bouter LM, et al. Intra-individual variation of glucose, specific insulin and proinsulin concentrations measured by two oral glucose tolerance tests in a general Caucasian population: the Hoorn Study. Diabetologia. 1996;39(3):298–305.CrossRefPubMed
30.
go back to reference American Diabetes Assocation. Standards of Medical Care-2013. Diabetes Care. 2013;36 Suppl 1:S11–66.CrossRef American Diabetes Assocation. Standards of Medical Care-2013. Diabetes Care. 2013;36 Suppl 1:S11–66.CrossRef
31.
go back to reference Heintzman J, Marino M, Hoopes M, Bailey SR, Gold R, O'Malley J, et al. Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data? J Am Med Inform Assoc. 2015;22(4):909-13. doi:10.1093/jamia/ocv033. Heintzman J, Marino M, Hoopes M, Bailey SR, Gold R, O'Malley J, et al. Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data? J Am Med Inform Assoc. 2015;22(4):909-13. doi:10.​1093/​jamia/​ocv033
32.
go back to reference Expert Panel on Detection E, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol in ddults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef Expert Panel on Detection E, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol in ddults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef
33.
go back to reference Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo Jr JL, et al. The seventh report of the joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72. doi:10.1001/jama.289.19.2560.CrossRefPubMed Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo Jr JL, et al. The seventh report of the joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72. doi:10.​1001/​jama.​289.​19.​2560.CrossRefPubMed
36.
go back to reference Bertrand M, Duflo E, Mullainathan S. How much should we trust differences-in-differences estimates? Q J Econ. 2004;119(1):249–75.CrossRef Bertrand M, Duflo E, Mullainathan S. How much should we trust differences-in-differences estimates? Q J Econ. 2004;119(1):249–75.CrossRef
37.
go back to reference Friedberg MW, Schneider EC, Rosenthal MB, Volpp KG, Werner RM. Association between participation in a multipayer medical home intervention and changes in quality, utilization, and costs of care. JAMA. 2014;311(8):815–25. doi:10.1001/jama.2014.353.CrossRefPubMed Friedberg MW, Schneider EC, Rosenthal MB, Volpp KG, Werner RM. Association between participation in a multipayer medical home intervention and changes in quality, utilization, and costs of care. JAMA. 2014;311(8):815–25. doi:10.​1001/​jama.​2014.​353.CrossRefPubMed
38.
go back to reference Higgins S, Chawla R, Colombo C, Snyder R, Nigam S. Medical homes and cost and utilization among high-risk patients. Am J Manag Care. 2014;20(3):e61–71.PubMed Higgins S, Chawla R, Colombo C, Snyder R, Nigam S. Medical homes and cost and utilization among high-risk patients. Am J Manag Care. 2014;20(3):e61–71.PubMed
39.
go back to reference Guo S, Fraser MW. Propensity score analysis: statistical methods and applications advanced quantitative techniques in the social sciences series. Thousand Oaks, CA: Sage Publications, Inc; 2014. Guo S, Fraser MW. Propensity score analysis: statistical methods and applications advanced quantitative techniques in the social sciences series. Thousand Oaks, CA: Sage Publications, Inc; 2014.
40.
go back to reference Duan NH, Manning WG, Morris CN, Newhouse JP. A comparison of alternative models for demand for medical care. J Bus Econ Stat. 1983;1(2):115–26. Duan NH, Manning WG, Morris CN, Newhouse JP. A comparison of alternative models for demand for medical care. J Bus Econ Stat. 1983;1(2):115–26.
41.
go back to reference Manning WG. The logged dependent variable, heteroscedasticity, and the retransformation problem. J Health Econ. 1998;17(3):283–95.CrossRefPubMed Manning WG. The logged dependent variable, heteroscedasticity, and the retransformation problem. J Health Econ. 1998;17(3):283–95.CrossRefPubMed
42.
go back to reference Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20(4):461–94.CrossRefPubMed Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20(4):461–94.CrossRefPubMed
43.
go back to reference Gold R, Muench J, Hill C, Turner A, Mital M, Milano C, et al. Collaborative development of a randomized study to adapt a diabetes quality improvement initiative for federally qualified health centers. J Health Care Poor Underserved. 2012;23 Suppl 3:236–46. doi:10.1353/hpu.2012.0132.CrossRefPubMedPubMedCentral Gold R, Muench J, Hill C, Turner A, Mital M, Milano C, et al. Collaborative development of a randomized study to adapt a diabetes quality improvement initiative for federally qualified health centers. J Health Care Poor Underserved. 2012;23 Suppl 3:236–46. doi:10.​1353/​hpu.​2012.​0132.CrossRefPubMedPubMedCentral
44.
go back to reference Cowburn S, Carlson MJ, Lapidus JA, DeVoe JE. The association between insurance status and cervical cancer screening in community health centers: exploring the potential of electronic health records for population-level surveillance, 2008-2010. Prev Chronic Dis. 2013;10:E173. doi:10.5888/pcd10.130034.CrossRefPubMedPubMedCentral Cowburn S, Carlson MJ, Lapidus JA, DeVoe JE. The association between insurance status and cervical cancer screening in community health centers: exploring the potential of electronic health records for population-level surveillance, 2008-2010. Prev Chronic Dis. 2013;10:E173. doi:10.​5888/​pcd10.​130034.CrossRefPubMedPubMedCentral
45.
go back to reference Little TD, Schnabel KU, Baumert J. Modeling longitudinal and multilevel data 2000. New Jersey: Lawrence Earlbaum Associates; 2000. Little TD, Schnabel KU, Baumert J. Modeling longitudinal and multilevel data 2000. New Jersey: Lawrence Earlbaum Associates; 2000.
46.
go back to reference Little RJA, Rubin DB. Statistical analysis with missing data. Hoboken, NJ: John Wiley & Sons; 2002.CrossRef Little RJA, Rubin DB. Statistical analysis with missing data. Hoboken, NJ: John Wiley & Sons; 2002.CrossRef
Metadata
Title
Protocol for the analysis of a natural experiment on the impact of the Affordable Care Act on diabetes care in community health centers
Authors
Nathalie Huguet
Heather Angier
Miguel Marino
K. John McConnell
Megan J. Hoopes
Jean P. O’Malley
Lewis A. Raynor
Sonja Likumahuwa-Ackman
Heather Holderness
Jennifer E. DeVoe
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Implementation Science / Issue 1/2017
Electronic ISSN: 1748-5908
DOI
https://doi.org/10.1186/s13012-017-0543-6

Other articles of this Issue 1/2017

Implementation Science 1/2017 Go to the issue