Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts: A Literature Review and Quantitative Analysis.

Purpose: Use of the electronic health record (EHR) has motivated the need for data standardization. A gap in knowledge exists regarding variations in existing terminologies for defining diabetic retinopathy (DR) cohorts. This study aimed to review the literature and analyze variations regarding codified definitions of DR. Design: Literature review and quantitative analysis. Subjects: Published manuscripts. Methods: Four graders reviewed PubMed and Google Scholar for peer-reviewed studies. Studies were included if they used codified definitions of DR (e.g., billing codes). Data elements such as author names, publication year, purpose, data set type, and DR definitions were manually extracted. Each study was reviewed by ≥ 2 authors to validate inclusion eligibility. Quantitative analyses of the codified definitions were then performed to characterize the variation between DR cohort definitions. Main Outcome Measures: Number of studies included and numeric counts of billing codes used to define codified cohorts. Results: In total, 43 studies met the inclusion criteria. Half of the included studies used datasets based on structured EHR data (i.e., data registries, institutional EHR review), and half used claims data. All but 1 of the studies used billing codes such as the International Classification of Diseases 9th or 10th edition (ICD-9 or ICD-10), either alone or in addition to another terminology for defining disease. Of the 27 included studies that used ICD-9 and the 20 studies that used ICD-10 codes, the most common codes used pertained to the full spectrum of DR severity. Diabetic retinopathy complications (e.g., vitreous hemorrhage) were also used to define some DR cohorts. Conclusions: Substantial variations exist among codified definitions for DR cohorts within retrospective studies. Variable definitions may limit generalizability and reproducibility of retrospective studies. More work is needed to standardize disease cohorts. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

The Relationship Between Health Insurance Status and Diabetic Retinopathy Progression.

Objective: To determine if baseline diabetic retinopathy (DR) severity mediates the relationship between health insurance status and DR progression. Design: Retrospective cohort study. Subjects: Seven hundred sixteen patients aged ≥ 18 years with a diagnosis of type 1 or 2 diabetes mellitus, and a diagnosis of nonproliferative DR (NPDR) were identified from the electronic health record of a tertiary academic center between June 2012 and February 2022. Methods: NPDR severity at baseline was the proposed mediator in the relationship between insurance status and proliferative DR (PDR) progression. Logistic regression was used to determine the association between insurance status and NPDR severity at baseline, and Cox proportional hazards regression was used to assess the association between insurance status and time to PDR progression. To analyze the mediation effect of NPDR severity at baseline, a counterfactual approach, which decomposes a total effect into a natural direct effect and a natural indirect effect was applied. Main Outcome Measures: Time to progression from first NPDR diagnosis to first PDR diagnosis. Results: Of the 716 patients, 581 (81%) had Medicare or private insurance, 107 (15%) had Medicaid, and 28 (4.0%) were uninsured at their baseline eye visit. Uninsured or Medicaid patients had a higher proportion of moderate or severe NPDR at their baseline eye visit and a higher proportion of progression to PDR. After adjusting for confounders and NPDR severity at baseline, patients who were uninsured had significantly greater risk of progression to PDR compared with that of patients with Medicare/private insurance (hazard ratio [HR]: 2.63; 95% confidence interval [CI]: 1.10-6.25). Patients with Medicaid also had an increased risk of progression to PDR compared with that of patients with Medicare/private insurance, although not statistically significant (HR: 1.53; 95% CI: 0.81-2.89). NPDR severity at baseline mediated 41% of the effect of insurance status (uninsured vs. Medicare/private insurance) on PDR progression. Conclusions: Patients who were uninsured were more likely to have an advanced stage of NPDR at their baseline eye visit and were at significantly greater risk of progression to PDR compared with patients who had Medicare or were privately insured. Mediation analysis revealed that differences in baseline NPDR severity by insurance explained a significant proportion of the relationship between insurance status and DR progression. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Disparities in Eye Care Utilization Among Refugee and Migrant Populations.

Purpose: In this cross-sectional study, we examined refugee/migrant participants' health and eye care utilization compared to controls in San Diego County. Methods: Data were collected from electronic health records (EHRs) at UCSD Health-affiliated medical centers. Through a manual review of EHRs, eligibility criteria to identify a cohort were developed. A total of 64 refugee/migrant participants and 95 control participants matched based on country of origin, age, and sex were included in the analysis. Demographic characteristics, insurance type, and vision/eye care utilization were compared between the two groups. Results: A greater proportion of refugee/migrant participants were more likely to be enrolled in government-sponsored insurance programs, predominantly Medicaid when compared to controls (55% vs. 24%, P = < 0.01). When adjusting for age, history of ophthalmic procedure, and surgery, refugee status was associated with fewer encounters with ophthalmologists in a multivariable linear regression model (coefficient = -1.66 [95% confidence interval [CI] = -2.89 to -0.44], P = 0.009). Conclusions: This study highlights disparities in eye care utilization for refugee/migrant populations. When compared to controls, a larger proportion of refugees/migrants had government-funded insurance, and refugee status was associated with fewer encounters with ophthalmologists. These findings underscore the need for further research on this population to better understand potential healthcare barriers these individuals may encounter. Translational Relevance: This analysis of EHR data illustrates disparities in eye care experienced by refugees/migrants, highlighting potential gaps in care in a vulnerable population.

Collaborative Learning Among Health Care Organizations to Improve Quality and Advance Racial Equity.

Background: The study examined stakeholder experiences of a statewide learning collaborative, sponsored and led by Blue Cross Blue Shield of Massachusetts (BCBSMA) and facilitated by the Institute for Healthcare Improvement (IHI) to reduce racial and ethnic disparities in quality of care. Methods: Interviews of key stakeholders (n=44) were analyzed to assess experiences of collaborative learning and interventions to reduce racial and ethnic disparities in quality of care. The interviews included BCBSMA, IHI, provider groups, and external experts. Results: Breast cancer screening, colorectal cancer screening, hypertension management, and diabetes management were focal areas for reducing disparities. Collaborative learning methods involved expert coaching, group meetings, and sharing of best practices. Interventions tested included pharmacist-led medication management, strategies to improve the collection of race, ethnicity, and language (REaL) data, transportation access improvement, and community health worker approaches. Stakeholder experiences highlighted three themes: (1) the learning collaborative enabled the testing of interventions by provider groups, (2) infrastructure and pilot funding were foundational investments, but groups needed more resources than they initially anticipated, and (3) expertise in quality improvement and health equity were critical for the testing of interventions and groups anticipated needing this expertise into the future. Conclusions: BCBSMA's learning collaborative and intervention funding supported contracted providers in enhancing REaL data collection, implementing equity-focused interventions on a small scale, and evaluating their feasibility and impact. The collaborative facilitated learning among groups on innovative approaches for reducing racial disparities in quality. Concerns about sustainability underscore the importance of expertise for implementing initiatives to reduce racial and ethnic disparities.

Use of the Whole Child Assessment to identify children at risk of poor outcomes.

BACKGROUND: Screening for Adverse Childhood Experiences (ACEs) in pediatric patients has the potential to prevent poor health outcomes associated with ACEs. Only a limited number of tools screen for all ten ACEs in all pediatric age groups, and none of these have demonstrated robust validity to date. OBJECTIVE: In order to evaluate the validity of the Whole Child Assessment, we examined associations between poor outcomes in pediatric patients and responses to questions about exposure to and risk of ACEs. METHODS: This cross-sectional study used medical record data from 499 children ages 5-11 years old who received care at one of two university-affiliated clinics in California. All Child-ACE measures were included on the Whole Child Assessment, which caregivers completed when they brought their child to a well-child visit. Medical charts were reviewed for current diagnoses and problems, current or past history of any developmental delay, and health care utilization. RESULTS: Compared to lower risk patients (0-1 reported ACE exposure), patients with 2 or more reported exposures were statistically significantly more likely to experience sadness, anger, sleep problems, bullying, school problems, and enuresis. The directionality of effects and the number of statistically significant associations improved when adding questions about risk of ACEs to the total Child-ACE score. CONCLUSION: We found strong relationships between Child-ACEs reported on the Whole Child Assessment and odds of poor child health and psychosocial outcomes in pediatric patients age 5-11 years old, which supports the validity of using the Whole Child Assessment at well-child visits.