Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions

Diabetes Complications Among Community-Based Health Center Patients with Varying Multimorbidity Patterns

BACKGROUND

Multimorbidity with diabetes mellitus (DM and ≥ 1 chronic disease) presents challenges to maintaining adequate DM control.

OBJECTIVE

This study evaluates the risk of DM-related complications associated with various multimorbidity/DM patterns for patients seen in community-based health centers (CHCs).

DESIGN

Retrospective cohort study from the ADVANCE multi-state practice-based clinical data network.

PARTICIPANTS

Study included data from 132,765 patients age ≥ 45 years with DM seen in 2493 CHCs across 26 states from 10/01/2015 to 12/31/2019.

MAIN MEASURES

We assessed accrual of conditions and risk of experiencing DM complications during follow-up. Primary outcome of DM complication was categorized into acute, microvascular, microvascular (end-stage), macrovascular, or other. Key exposures included mutually exclusive multimorbidity categories: (1) DM + cardiometabolic, (2) DM + other somatic, (3) DM + mental, (4) DM + mental + somatic.

KEY RESULTS

At baseline, 17.2% of patients had DM only, 55.0% had DM + cardiometabolic multimorbidity, 2.3% had DM + other somatic multimorbidity, 3.0% had DM + mental multimorbidity, and 22.5% had DM + mental + somatic multimorbidity. Most DM-only patients (76.5%) developed multimorbidity with DM by study end. Compared with DM-only, adjusted risk differences of DM complications ranged from 1.4% (acute) to 8.8% (microvascular). DM + mental + somatic multimorbidity was associated with 13.4% (95%CI 12.8-14.1%) higher adjusted risk of experiencing any DM complication.

CONCLUSIONS

CHCs care for increasingly complex populations of patients with DM. Tailoring disease management strategies to address comorbid cardiovascular and/or mental health conditions may be important to prevent acute, microvascular, and macrovascular complications in these settings.

Impact of Health Insurance Patterns on Chronic Health Conditions Among Older Patients

BACKGROUND

Patients have varying levels of chronic conditions and health insurance patterns as they become Medicare age-eligible. Understanding these dynamics will inform policies and reforms that direct capacity and resources for primary care clinics to care for these aging patients. This study 1) determined changes in chronic condition rates following Medicare age eligibility among patients with different insurance patterns and 2) estimated the number of chronically ill patients who remain inadequately insured post-Medicare eligibility among patients receiving care in community health centers.

METHOD

We used retrospective electronic health record data from 45,527 patients aged 62 to 68 from 990 community health centers in 25 states in 2014 to 2019. Insurance patterns (continuously insured, continuously uninsured, uninsured/discontinuously insured who gained insurance after age 65, lost insurance after age 65, discontinuously insured) and diagnosis of chronic conditions were defined at each visit pre- and post-Medicare eligibility. Difference-in-differences Poisson GEE models estimated changes of chronic condition rates by insurance groups pre- to post-Medicare age eligibility.

RESULTS

Post-Medicare eligibility, 72% patients were continuously insured, 14% gained insurance; and 14% were uninsured or discontinuously insured. The prevalence of multimorbidity (≥2 chronic conditions) was 77%. Those who gained insurance had a significantly larger increase in the rate of documented chronic conditions from pre- to post-Medicare (DID: 1.06, 95%CI:1.05-1.07) compared with the continuously insured group.

CONCLUSIONS

Post-Medicare age eligibility, a significant proportion of patients were diagnosed with new conditions leading to high burden of disease. One in 4 older adults continue to have inadequate health care coverage in their older age.

Sedative-hypnotic Co-prescribing with Opioids in a Large Network of Community Health Centers

OBJECTIVE

When prescribed with opioids, sedative-hypnotics substantially increase the risk of overdose. The objective of this paper was to describe characteristics and trends in opioid sedative-hypnotic co-prescribing in a network of safety-net clinics serving low-income, publicly insured, and uninsured individuals.

METHODS

This retrospective longitudinal analysis of prescription orders examined opioid sedative-hypnotic co-prescribing rates between 2009 and 2018 in the OCHIN network of safety-net community health centers. Sedative-hypnotics included benzodiazepine and non-benzodiazepine sedatives (eg, zolpidem). Co-prescribing patterns were assessed overall and across patient demographic and co-morbidity characteristics.

RESULTS

From 2009 to 2018, 240 587 patients had ≥1 opioid prescriptions. Most were White (65%), female (59%), and had Medicaid insurance (43%). One in 4 were chronic opioid users (25%). During this period, 55 332 (23%) were co-prescribed a sedative-hypnotic. The prevalence of co-prescribing was highest for females (26% vs 19% for males), non-Hispanic Whites (28% vs 13% for Hispanic to 20% for unknown), those over 44 years of age (25% vs 20% for <44 years), Medicare insurance (30% vs 21% for uninsured to 22% for other/unknown), and among those on chronic opioid therapy (40%). Co-prescribing peaked in 2010 (32%) and declined steadily through 2018 (20%). Trends were similar across demographic subgroups. Co-prescribed sedative-hypnotics remained elevated for those with chronic opioid use (27%), non-Hispanic Whites (24%), females (23%), and those with Medicare (23%) or commercial insurance (22%).

CONCLUSIONS

Co-prescribed sedative-hypnotic use has declined steadily since 2010 across all demographic subgroups in the OCHIN population. Concurrent use remains elevated in several population subgroups.

Prevalent Multimorbidity Combinations Among Middle-Aged and Older Adults Seen in Community Health Centers

BACKGROUND

Multimorbidity (≥ 2 chronic diseases) is associated with greater disability and higher treatment burden, as well as difficulty coordinating self-management tasks for adults with complex multimorbidity patterns. Comparatively little work has focused on assessing multimorbidity patterns among patients seeking care in community health centers (CHCs).

OBJECTIVE

To identify and characterize prevalent multimorbidity patterns in a multi-state network of CHCs over a 5-year period.

DESIGN

A cohort study of the 2014-2019 ADVANCE multi-state CHC clinical data network. We identified the most prevalent multimorbidity combination patterns and assessed the frequency of patterns throughout a 5-year period as well as the demographic characteristics of patient panels by prevalent patterns.

PARTICIPANTS

The study included data from 838,642 patients aged ≥ 45 years who were seen in 337 CHCs across 22 states between 2014 and 2019.

MAIN MEASURES

Prevalent multimorbidity patterns of somatic, mental health, and mental-somatic combinations of 22 chronic diseases based on the U.S. Department of Health and Human Services Multiple Chronic Conditions framework: anxiety, arthritis, asthma, autism, cancer, cardiac arrhythmia, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), congestive heart failure, coronary artery disease, dementia, depression, diabetes, hepatitis, human immunodeficiency virus (HIV), hyperlipidemia, hypertension, osteoporosis, post-traumatic stress disorder (PTSD), schizophrenia, substance use disorder, and stroke.

KEY RESULTS

Multimorbidity is common among middle-aged and older patients seen in CHCs: 40% have somatic, 6% have mental health, and 24% have mental-somatic multimorbidity patterns. The most frequently occurring pattern across all years is hyperlipidemia-hypertension. The three most frequent patterns are various iterations of hyperlipidemia, hypertension, and diabetes and are consistent in rank of occurrence across all years. CKD-hyperlipidemia-hypertension and anxiety-depression are both more frequent in later study years.

CONCLUSIONS

CHCs are increasingly seeing more complex multimorbidity patterns over time; these most often involve mental health morbidity and advanced cardiometabolic-renal morbidity.

Factors Influencing Healthcare Utilization Among Patients at Three Free Clinics

Despite improvements in healthcare for uninsured persons, health disparities remain. We surveyed patients at three free clinics in an urban Florida community to better understand the factors that influence where they seek healthcare. Survey questions were developed based on factors previously demonstrated to affect healthcare utilization. A focus group validated the instrument. Patients self-administered written surveys over a 6-week period at three free clinics, including a student-run free clinic (SRFC). Results were compiled and analyzed using Chi-square and Fisher-Freeman-Halton Exact tests, Kruskal-Wallis test, Mann-Whitney U test, and Spearman's rho, as appropriate. Odds ratios were calculated for significant findings (p < 0.05). Patients completed 323 surveys. Free clinic visit frequency was positively related to female gender, Hispanic ethnicity, higher income, and poorer health. Black race was related to less frequent visits. Visit frequency differed among the clinic sites. Patients attending a SRFC were more likely to utilize another clinic. Patient satisfaction was not related to visit frequency. Seeking care at other clinics was related to employment. Emergency room utilization was positively related to male gender. Patients listed proximity and ability to receive care not offered at the free clinic as the primary reasons for seeking care at another clinic. In this sample, free clinic utilization was related to demographic and community factors. Free clinics should consider these factors when designing their care delivery. SRFC's should further evaluate how they function in the safety net.

Association of State Medicaid Expansion Status With Hypertensive Disorders of Pregnancy in a Singleton First Live Birth

BACKGROUND

Incidence of hypertensive disorders of pregnancy is increasing in the United States. Early detection is important to prevent adverse maternal and offspring outcomes. This ecological study evaluated changes in rates of hypertensive disorders of pregnancy among states that expanded Medicaid compared with states that did not expand Medicaid.

METHODS

A quasi-experimental analysis using difference-in-differences models compared changes in rates of hypertensive disorders of pregnancy in Medicaid expansion states relative to non-Medicaid expansion states from 2012 to 2019. Maternal data from singleton first live births to individuals aged 20 to 39 years were obtained from the National Center for Health Statistics. Outcomes of interest included age-adjusted rates of de novo hypertension in pregnancy (gestational hypertension or preeclampsia) and prepregnancy hypertension.

RESULTS

Data from 7 764 965 individuals with a singleton first live birth were analyzed from 17 states and Washington, DC that expanded Medicaid and 15 states that did not. Rates of de novo hypertension in pregnancy increased over the study period in both expansion (54.34 [95% CI, 48.25-60.43] to 74.87 [95% CI, 71.20-78.55] per 1000 births) and nonexpansion states (68.32 [95% CI, 61.02-75.62] to 84.79 [95% CI, 80.67-88.91] per 1000 births). In adjusted difference-in-differences analyses, expansion status was associated with a greater increase in rates of de novo hypertension in pregnancy (difference-in-differences coefficient, +8.18 [95% CI, 4.00-12.36] per 1000 live births) but a decline in rates of de novo hypertension in pregnancy complicated by low birth weight (-7.20 [95% CI, -13.71 to -0.70] per 1000 births with hypertensive disorders of pregnancy). In adjusted difference-in-differences analyses, there were no significant changes in rates of prepregnancy hypertension in expansion relative to nonexpansion states (+1.13 [95% CI, -0.09 to +2.35] per 1000 live births).

CONCLUSIONS

Between 2012 and 2019, states that expanded Medicaid had a significantly greater increase in rates of de novo hypertension, with some evidence of better outcomes among those with de novo hypertension diagnosed in pregnancy.

Rates of Undiagnosed Hypertension and Diagnosed Hypertension Without Anti-hypertensive Medication Following the Affordable Care Act

BACKGROUND

The Affordable Care Act (ACA) Medicaid expansion improved access to health insurance and health care services. This study assessed whether the rate of patients with undiagnosed hypertension and the rate of patients with hypertension without anti-hypertensive medication decreased post-ACA in community health center (CHC).

METHODS

We analyzed electronic health record data from 2012 to 2017 for 126,699 CHC patients aged 19-64 years with ≥1 visit pre-ACA and ≥1 post-ACA in 14 Medicaid expansion states. We estimated the prevalence of patients with undiagnosed hypertension (high blood pressure reading without a diagnosis for ≥1 day) and the prevalence of patients with hypertension without anti-hypertensive medication by year and health insurance type (continuously uninsured, continuously insured, gained insurance, and discontinuously insured). We compared the time to diagnosis or to anti-hypertensive medication pre- vs. post-ACA.

RESULTS

Overall, 37.3% of patients had undiagnosed hypertension and 27.0% of patients with diagnosed hypertension were without a prescribed anti-hypertensive medication for ≥1 day during the study period. The rate of undiagnosed hypertension decreased from 2012 through 2017. Those who gained insurance had the lowest rates of undiagnosed hypertension (2012: 14.8%; 2017: 6.1%). Patients with hypertension were also more likely to receive anti-hypertension medication during this period, especially uninsured patients who experienced the largest decline (from 47.0% to 8.1%). Post-ACA, among patients with undiagnosed hypertension, time to diagnosis was shorter for those who gained insurance than other insurance types.

CONCLUSIONS

Those who gained health insurance were appropriately diagnosed with hypertension faster and more frequently post-ACA than those with other insurance types.

CLINICAL TRIALS REGISTRATION

Trial Number NCT03545763.

The future of physician advocacy: a survey of U.S. medical students

BACKGROUND

Advocacy is a core component of medical professionalism. It is unclear how educators can best prepare trainees for this professional obligation. We sought to assess medical students' attitudes toward advocacy, including activities and issues of interest, and to determine congruence with professional obligations.

METHODS

A cross-sectional, web-based survey probed U.S. medical students' attitudes around 7 medical issues (e.g. nutrition/obesity, addiction) and 11 determinants of health (e.g. housing, transportation). Descriptive statistics, Kruskal-Wallis tests, and regression analysis investigated associations with demographic characteristics.

RESULTS

Of 240 students completing the survey, 53% were female; most were white (62%) or Asian (28%). Most agreed it is very important that physicians encourage medical organizations to advocate for public health (76%) and provide health-related expertise to the community (57%). More participants rated advocacy for medical issues as very important, compared to issues with indirect connections to health (p < 0.001). Generally, liberals and non-whites were likelier than others to value advocacy.

CONCLUSIONS

Medical students reported strong interest in advocacy, particularly around health issues, consistent with professional standards. Many attitudes were associated with political affiliation and race. To optimize future physician advocacy, educators should provide opportunities for learning and engagement in issues of interest.

Health insurance coverage and self-employment

BACKGROUND

Self-employed workers are 10% of the US labor force, with growth projected over the next decade. Whether existing policy mechanisms are sufficient to ensure health insurance coverage for self-employed workers, who do not have access to employer-sponsored coverage, is unclear.

OBJECTIVE

To determine whether self-employment is associated with lack of health insurance coverage.

DATA SOURCES

Secondary analysis of Medical Expenditure Panel Survey (MEPS) data collected 2014-2017.

STUDY DESIGN

Participants were working age (18-64 years), employed, civilian noninstitutionalized US adults with two years of Medical Expenditure Panel Survey (MEPS) participation in 2014-2017. We compared those who were employees vs those who were self-employed. Key outcomes were self-report of health insurance coverage, and of delaying needed medical care.

DATA EXTRACTION METHODS

Longitudinal design among individuals who were employees during study year 1, comparing health insurance coverage among those who did vs did not transition to self-employment in year 2.

PRINCIPAL FINDINGS

16 335 individuals, representing 121 473 345 working-age adults, met inclusion criteria; of these, 147, representing 1 097 582 individuals, transitioned to self-employment. In unadjusted analyses, 25.7% of those who became self-employed were uninsured in year 2, vs 8.1% of those who remained employees (P < .0001). In adjusted models, self-employment was associated with greater risk of being uninsured (26.1% vs 8.0%, risk difference 18.0%, 95% confidence interval [CI] 9.2% to 26.9%, P = .0001). A time-by-employment type product term suggests that 10.0 percentage points (95%CI 0.3 to 19.7 percentage points, P = .04) of the risk difference may be attributable to the change to self-employment. Self-employment was also associated with delaying needed medical care (12.0% vs 3.1%, risk difference: 8.9%, 95% CI 3.1% to 14.6%, P = .003).

CONCLUSIONS

One in four self-employed workers lack health insurance coverage. Given the rise in self-employment, it is imperative to identify ways to improve health care insurance access for self-employed working-age US adults.

The effect of Medicaid expansion among adults from low-income communities on stage at diagnosis in those with screening-amenable cancers

BACKGROUND

Several states have opted to expand Medicaid under the Patient Protection and Affordable Care Act (ACA), which offers insurance coverage to low-income individuals up to 138% of the federal poverty level. This expansion of Medicaid to a medically vulnerable population potentially can reduce cancer outcome disparities, especially among patients with screening-amenable cancers. The objective of the current study was to estimate the effect of Medicaid expansion on the percentage of adults from low-income communities with screening-amenable cancers who present with metastatic disease.

METHODS

Using state cancer registry data linked with block group-level income data, a total of 12,760 individuals aged 30 to 64 years who were diagnosed with incident invasive breast (female), cervical, colorectal, or lung cancer from 2011 through 2016 and who were uninsured or had Medicaid insurance at the time of diagnosis were identified. This sample was probability weighted based on income to reflect potential Medicaid eligibility under the ACA's Medicaid expansion. A multivariable logistic model then was fitted to examine the independent association between the exposure (pre-expansion [years 2011-2013] vs postexpansion [years 2014-2016]) and the outcome (metastatic vs nonmetastatic disease at the time of diagnosis).

RESULTS

After adjusting for potential confounders, individuals who were diagnosed postexpansion were found to have 15% lower odds of having metastatic disease compared with those who were diagnosed pre-expansion (adjusted odds ratio, 0.85; 95% confidence interval, 0.77-0.93). As a control, a separate analysis that focused on individuals with private insurance who resided in high-income communities found nonsignificant postexpansion (vs pre-expansion) changes in the outcome (adjusted odds ratio, 1.02; 95% confidence interval, 0.96-1.09).

CONCLUSIONS

Medicaid expansion is associated with a narrowing of a critical cancer outcome disparity in adults from low-income communities.

Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs

OBJECTIVES

To identify the unmet information needs of clinical teams delivering care to patients with complex medical, social, and economic needs; and to propose principles for redesigning electronic health records (EHR) to address these needs.

MATERIALS AND METHODS

In this observational study, we interviewed and observed care teams in 9 community health centers in Oregon and Washington to understand their use of the EHR when caring for patients with complex medical and socioeconomic needs. Data were analyzed using a comparative approach to identify EHR users' information needs, which were then used to produce EHR design principles.

RESULTS

Analyses of > 300 hours of observations and 51 interviews identified 4 major categories of information needs related to: consistency of social determinants of health (SDH) documentation; SDH information prioritization and changes to this prioritization; initiation and follow-up of community resource referrals; and timely communication of SDH information. Within these categories were 10 unmet information needs to be addressed by EHR designers. We propose the following EHR design principles to address these needs: enhance the flexibility of EHR documentation workflows; expand the ability to exchange information within teams and between systems; balance innovation and standardization of health information technology systems; organize and simplify information displays; and prioritize and reduce information.

CONCLUSION

Developing EHR tools that are simple, accessible, easy to use, and able to be updated by a range of professionals is critical. The identified information needs and design principles should inform developers and implementers working in community health centers and other settings where complex patients receive care.

The Affordable Care Act Medicaid Expansion Positively Impacted Community Health Centers and Their Patients

Community health centers (CHCs) provide primary care for underserved children and adults. The Patient Protection and Affordable Care Act (ACA) aimed to strengthen the CHC network by increasing federal funds and expanding Medicaid eligibility. The ACA also aimed to boost preventive and mental health services and to reduce health and healthcare disparities. Here, we summarize our results to-date as experts in investigating the impact of ACA Medicaid expansion on CHCs and the patients they serve. We found the ACA Medicaid expansion increased access to care and preventive services, primarily in Medicaid expansion states. Rates of physical and mental health conditions rose substantially from pre- to post-ACA in expansion states, suggesting underdiagnosis pre-ACA. Disparities in health insurance coverage by race/ethnicity decreased at CHCs, yet some remain. These findings indicate that the ACA Medicaid expansion significantly helped CHCs and patients. Insurance expansion buoyed CHCs' financial viability by increasing reimbursement. Therefore, the ACA Medicaid expansion enhanced the health of underserved patients and repeal would jeopardize these advances for CHCs and their patients.