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Published in: Ophthalmology and Therapy 1/2017

Open Access 01-06-2017 | Original Research

Payment Reform Needed to Address Health Disparities of Undiagnosed Diabetic Retinopathy in the City of Chicago

Authors: Dustin D. French, Jess J. Behrens, Kathryn L. Jackson, Abel N. Kho, Theresa L. Walunas, Charlesnika T. Evans, Michael Mbagwu, Curtis E. Margo, Paul J. Bryar

Published in: Ophthalmology and Therapy | Issue 1/2017

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Abstract

Introduction

The Affordable Care Act (ACA) has expanded health coverage for thousands of Illinois residents. Expanded coverage, however, does not guarantee appropriate health care. Diabetes and its ocular complications serve as an example of how providers in underserved urban areas may not be able to keep up with new demand for labor- and technology-intensive health care unless changes in reimbursement policies are instituted.

Methods

A retrospective cohort study was conducted using medical encounter information from the Chicago HealthLNK Data Repository (HDR), an assembly of non-duplicated and de-identified patient medical records. We used a method of estimating the geographic distribution of undiagnosed diabetic retinopathy in the city of Chicago to illustrate the magnitude of potentially preventable eye disease. All rates were calculated for all ZIP Codes within Chicago (Cook County), and statistical differences between observed and geographically adjusted expected rates (p < 0.10, p < 0.05, p < 0.01) were highlighted as underserved areas.

Results

This analysis included 150,661 patients with diabetes identified from a total of nearly two million patients in Chicago. High rates of undetected diabetic retinopathy were found in low-income and minority areas. Within these areas, 37% of the identified diabetics were uninsured, with rates ranging widely from 20% to 68.6%. Among those with insurance, 32.8% were covered by Medicare and only 10% by Medicaid. Most patients with untreated diabetic retinopathy were found to reside in areas where primary health care is provided through Federally Qualified Health Centers.

Conclusions

With 150,661 diabetics identified in the city of Chicago, and this number continuing to rise each year, a manpower approach with ophthalmologist screening for diabetic retinopathy is not realistic. The ability to identify the growing number of diabetic patients with retinopathy in low-income areas will likely require the adoption of cost-effective screening technologies that are currently not funded by Medicare and Medicaid.
Literature
3.
go back to reference Geissler KH, Lubin B, Marzilli Ericson KM. Access is not enough: characteristics of physicians who treat medicaid patients. Med Care. 2016;54:350–8.CrossRefPubMed Geissler KH, Lubin B, Marzilli Ericson KM. Access is not enough: characteristics of physicians who treat medicaid patients. Med Care. 2016;54:350–8.CrossRefPubMed
5.
go back to reference Zhang X, Saaddine JB, Chou CF, Cotch MF, Cheng YJ, Geiss LS, et al. Prevalence of diabetic retinopathy in the United States, 2005–2008. JAMA. 2010;304:649–56.CrossRefPubMedPubMedCentral Zhang X, Saaddine JB, Chou CF, Cotch MF, Cheng YJ, Geiss LS, et al. Prevalence of diabetic retinopathy in the United States, 2005–2008. JAMA. 2010;304:649–56.CrossRefPubMedPubMedCentral
7.
go back to reference Ryskulova A, Turczyn K, Makuc DM, Cotch MF, Klein RJ, Janiszewski R. Self-reported age-related eye diseases and visual impairment in the United States: results of the 2002 national health interview survey. Am J Public Health. 2008;98:454–61.CrossRefPubMedPubMedCentral Ryskulova A, Turczyn K, Makuc DM, Cotch MF, Klein RJ, Janiszewski R. Self-reported age-related eye diseases and visual impairment in the United States: results of the 2002 national health interview survey. Am J Public Health. 2008;98:454–61.CrossRefPubMedPubMedCentral
8.
go back to reference Tanna AP, Kaye HS. Trends in self-reported visual impairment in the United States: 1984 to 2010. Ophthalmology. 2012;119:2028–32.CrossRefPubMed Tanna AP, Kaye HS. Trends in self-reported visual impairment in the United States: 1984 to 2010. Ophthalmology. 2012;119:2028–32.CrossRefPubMed
9.
go back to reference Zhang X, Saaddine JB, Lee PP, Grabowski DC, Kanjilal S, Duenas MR, et al. Eye care in the United States: do we deliver to high risk people who can benefit the most from it? Arch Ophthalmol. 2007;25:411–8. Zhang X, Saaddine JB, Lee PP, Grabowski DC, Kanjilal S, Duenas MR, et al. Eye care in the United States: do we deliver to high risk people who can benefit the most from it? Arch Ophthalmol. 2007;25:411–8.
10.
go back to reference French DD, Margo CE, Tanna AP, Volpe NJ, Rubenstein LZ. Associations of Injurious Falls and Self-Reported Incapacities: Analysis of the National Health Interview Survey. J Patient Saf. 2014 (Epub ahead of print). French DD, Margo CE, Tanna AP, Volpe NJ, Rubenstein LZ. Associations of Injurious Falls and Self-Reported Incapacities: Analysis of the National Health Interview Survey. J Patient Saf. 2014 (Epub ahead of print).
11.
go back to reference Kho AN, Cashy JP, Jackson KL, Pah AR, Goel S, Boehnke J. Design and implementation of a privacy preserving electronic health record linkage tool in Chicago. J Am Med Inform Assoc. 2015;22:1072–80.CrossRefPubMedPubMedCentral Kho AN, Cashy JP, Jackson KL, Pah AR, Goel S, Boehnke J. Design and implementation of a privacy preserving electronic health record linkage tool in Chicago. J Am Med Inform Assoc. 2015;22:1072–80.CrossRefPubMedPubMedCentral
12.
go back to reference Luo W, Qui Y. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health Place. 2009;15:1100–7.CrossRefPubMed Luo W, Qui Y. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health Place. 2009;15:1100–7.CrossRefPubMed
13.
go back to reference Nqui AN, Apparicio P. Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal. BMC Health Serv Res. 2011;11:166.CrossRef Nqui AN, Apparicio P. Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal. BMC Health Serv Res. 2011;11:166.CrossRef
14.
go back to reference McGrail MR, Humphrey JS. Measuring spatial accessibility to primary care in rural areas: improving the effectiveness of the two-step floating catchment area method. Appl Geogr. 2009;29:533–41.CrossRef McGrail MR, Humphrey JS. Measuring spatial accessibility to primary care in rural areas: improving the effectiveness of the two-step floating catchment area method. Appl Geogr. 2009;29:533–41.CrossRef
15.
go back to reference McGrail MR. Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements. Int J Health Geogr. 2012;11:50.CrossRefPubMedPubMedCentral McGrail MR. Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements. Int J Health Geogr. 2012;11:50.CrossRefPubMedPubMedCentral
16.
go back to reference Field KS, Briggs DJ. Socio-economic and locational determinants of accessibility and utilization of primary health-care. Health Soc Care Community. 2001;9:294–308.CrossRefPubMed Field KS, Briggs DJ. Socio-economic and locational determinants of accessibility and utilization of primary health-care. Health Soc Care Community. 2001;9:294–308.CrossRefPubMed
17.
go back to reference Fryer GE Jr, Drisko J, Krugman RD, Vojir CP, Prochazka A, Miyoshi TJ, et al. Multi-method assessment of access to primary medical care in rural Colorado. J Rural Health. 1999;15:113–21.CrossRefPubMed Fryer GE Jr, Drisko J, Krugman RD, Vojir CP, Prochazka A, Miyoshi TJ, et al. Multi-method assessment of access to primary medical care in rural Colorado. J Rural Health. 1999;15:113–21.CrossRefPubMed
18.
go back to reference Ricketts TC, Goldsmith LJ, Holmes GM, Randolph RM, Lee R, Taylor DH, et al. Designating places and populations as medically underserved: a proposal for a new approach. J Health Care Poor Underserved. 2007;18:567–89.CrossRefPubMed Ricketts TC, Goldsmith LJ, Holmes GM, Randolph RM, Lee R, Taylor DH, et al. Designating places and populations as medically underserved: a proposal for a new approach. J Health Care Poor Underserved. 2007;18:567–89.CrossRefPubMed
19.
go back to reference Fortney J, Rost K, Warren J. Comparing alternative methods of measuring geographic access to health services. Health Serv Outcomes Res Method. 2000;1:173–84.CrossRef Fortney J, Rost K, Warren J. Comparing alternative methods of measuring geographic access to health services. Health Serv Outcomes Res Method. 2000;1:173–84.CrossRef
20.
go back to reference Wright RA, Andres TL, Davidson AJ. Finding the medically underserved: a need to revise the federal definition. J Health Care Poor Underserved. 1996;7:296–307.CrossRefPubMed Wright RA, Andres TL, Davidson AJ. Finding the medically underserved: a need to revise the federal definition. J Health Care Poor Underserved. 1996;7:296–307.CrossRefPubMed
21.
go back to reference Joseph AE, Phillips DR. Accessibility and utilization: Geographical perspectives on health care delivery. New York: Harper and Row; 1984. Joseph AE, Phillips DR. Accessibility and utilization: Geographical perspectives on health care delivery. New York: Harper and Row; 1984.
22.
go back to reference Lee DJ, Lam BL, Arora S, Arheart KL, McCollister KE, Zheng DD, et al. Reported eye care utilization and health insurance status among US adults. Arch Ophthalmol. 2009;127:303–10.CrossRefPubMed Lee DJ, Lam BL, Arora S, Arheart KL, McCollister KE, Zheng DD, et al. Reported eye care utilization and health insurance status among US adults. Arch Ophthalmol. 2009;127:303–10.CrossRefPubMed
23.
go back to reference Chou CF, Barker LE, Crews JE, Primo SA, Zhang X, Elliott AF, et al. Disparities in eye care utilization among the United States adults with visual impairment: findings from the behavioral risk factor surveillance system 2006–2009. Am J Ophthalmol. 2012;154:S45–52.CrossRefPubMed Chou CF, Barker LE, Crews JE, Primo SA, Zhang X, Elliott AF, et al. Disparities in eye care utilization among the United States adults with visual impairment: findings from the behavioral risk factor surveillance system 2006–2009. Am J Ophthalmol. 2012;154:S45–52.CrossRefPubMed
24.
go back to reference Lam BL, Lee DJ, Zheng DD, Davila EP, Christ SL, Arheart KL. Disparity in prevalence of self-reported visual impairment in older adults among US race-ethnic subgroups. Ophthalmic Epidemiol. 2009;16:144–50.CrossRefPubMedPubMedCentral Lam BL, Lee DJ, Zheng DD, Davila EP, Christ SL, Arheart KL. Disparity in prevalence of self-reported visual impairment in older adults among US race-ethnic subgroups. Ophthalmic Epidemiol. 2009;16:144–50.CrossRefPubMedPubMedCentral
25.
go back to reference Zambelli-Weiner A, Crews JE, Friedman DS. Disparities in adult vision health in the United States. Am J Ophthalmol. 2012;154:S23–30.CrossRefPubMed Zambelli-Weiner A, Crews JE, Friedman DS. Disparities in adult vision health in the United States. Am J Ophthalmol. 2012;154:S23–30.CrossRefPubMed
32.
go back to reference Zhang W, Nicholas P, Schuman SG, et al. Screening for diabetic retinopathy using a portable, noncontact, nonmydriatic handheld retinal camera. J Diabetes Sci Technol. 2016. pii:1932296816658902. (Epub ahead of print). Zhang W, Nicholas P, Schuman SG, et al. Screening for diabetic retinopathy using a portable, noncontact, nonmydriatic handheld retinal camera. J Diabetes Sci Technol. 2016. pii:1932296816658902. (Epub ahead of print).
33.
go back to reference Shi L, Wu H, Dong J, et al. Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis. Br J Ophthalmol. 2015;99(6):823–31.CrossRefPubMedPubMedCentral Shi L, Wu H, Dong J, et al. Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis. Br J Ophthalmol. 2015;99(6):823–31.CrossRefPubMedPubMedCentral
36.
go back to reference Cavallerano AA, Conlin PR. Teleretinal imaging to screen for diabetic retinopathy in the Veterans Health Administration. J Diabetes Sci Technol. 2008;2:33–9.CrossRefPubMedPubMedCentral Cavallerano AA, Conlin PR. Teleretinal imaging to screen for diabetic retinopathy in the Veterans Health Administration. J Diabetes Sci Technol. 2008;2:33–9.CrossRefPubMedPubMedCentral
37.
go back to reference Conlin PR, Fisch BM, Orcutt JC, Hetrick BJ, Darkins AW. Framework for national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patients. J Rehabil Res Dev. 2006;43:741–8.CrossRefPubMed Conlin PR, Fisch BM, Orcutt JC, Hetrick BJ, Darkins AW. Framework for national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patients. J Rehabil Res Dev. 2006;43:741–8.CrossRefPubMed
39.
go back to reference Owsley C, McGwin G Jr, Lee DJ, Lam BL, Friedman DS, Gower EW, et al. Diabetes eye screening in urban settings serving minority populations: detection of diabetic retinopathy and other ocular findings using telemedicine. JAMA Ophthalmol. 2015;133:174–81.CrossRefPubMedPubMedCentral Owsley C, McGwin G Jr, Lee DJ, Lam BL, Friedman DS, Gower EW, et al. Diabetes eye screening in urban settings serving minority populations: detection of diabetic retinopathy and other ocular findings using telemedicine. JAMA Ophthalmol. 2015;133:174–81.CrossRefPubMedPubMedCentral
Metadata
Title
Payment Reform Needed to Address Health Disparities of Undiagnosed Diabetic Retinopathy in the City of Chicago
Authors
Dustin D. French
Jess J. Behrens
Kathryn L. Jackson
Abel N. Kho
Theresa L. Walunas
Charlesnika T. Evans
Michael Mbagwu
Curtis E. Margo
Paul J. Bryar
Publication date
01-06-2017
Publisher
Springer Healthcare
Published in
Ophthalmology and Therapy / Issue 1/2017
Print ISSN: 2193-8245
Electronic ISSN: 2193-6528
DOI
https://doi.org/10.1007/s40123-016-0072-4

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