Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients

Patient perceptions of remote patient monitoring program for hypertensive disorders of pregnancy

PURPOSE

The utilization of remote patient monitoring (RPM) with home blood pressure monitoring has shown improvement in blood pressure control and adherence with follow-up visits. Patient perceptions regarding its use in the obstetric population have not been widely studied. The aim of this study was to assess patients' knowledge about hypertensive disorders of pregnancy and perceptions and satisfaction of the RPM program.

METHODS

Descriptive analysis of survey responses of patients with PPHTN enrolled into the RPM program for 6 weeks after delivery between October 2021 and April 2022. Surveys were automatically administered at 1-, 3-, and 6-week postpartum. Responses were further compared between Black and non-Black patient-reported race.

RESULTS

545 patients received the RPM program. Of these, 306 patients consented to data collection. At 1 week, 88% of patients that responded reported appropriately that a blood pressure greater than 160/110 is abnormal. At 3 weeks, 87.4% of patients responded reported they were "very" or "somewhat" likely to attend their postpartum follow-up visits because of RPM. At 6 weeks, 85.5% of the patients that responded were "very" or "somewhat" satisfied with the RPM program. Responses were not statistically different between races.

CONCLUSIONS

Majority of postpartum patients enrolled in the RPM program had correct knowledge about hypertension. In addition, patients were highly satisfied with the RPM program and likely to attend postpartum follow-up based on responses. Further research is warranted to validate these findings and to address any barriers for patients who did not utilize the program.

Characteristics associated with perceived level of confidence managing diabetes among United States adults with diabetes: A retrospective cross-sectional study

Objectives

Identifying characteristics associated with patients' confidence managing diabetes may aid the primary care provider in offering diabetes self-management education and support to patients. This analysis assessed the relationship between demographic, health, economic, access to care, satisfaction with care, and healthcare utilization characteristics with patients' confidence managing diabetes.

Methods

United States adults with diabetes in the 2020 Medical Expenditure Panel Survey were included in this retrospective cross-sectional analysis. Characteristics related statistically to patients' confidence managing diabetes in multivariable logistic regression analysis were reported.

Results

Among the 1,516 eligible individuals, 76.3% stated they were very confident/confident with their diabetes management. Adults who perceived their health positively (odds ratio 2.3, 95% confidence interval [CI] 1.3-3.9), completed ≥30 min moderate/vigorous exercise five times weekly (odds ratio 1.6, 95% CI 1.0-2.6), had at least one inpatient discharge in 2020 (odds ratio 3.5, 95% CI 1.5-8.1), said it was not difficult to telephone their usual provider (odds ratio 3.3, 95% CI 1.4-7.8), and had no emergency room visits in 2020 (odds ratio 2, 95% CI 1.1-3.3) had higher odds of stating they were very confident or confident with their diabetes management.

Conclusion

The characteristics associated with being very confident/confident managing diabetes should be considered by primary healthcare physicians and other healthcare professionals when helping patients manage diabetes.

Predictors of Telehealth Utilization and Subsequent Inpatient Stays and Emergency Visits During the COVID-19 Pandemic Among Patients with Type 2 Diabetes: Evidence from Louisiana

Objective: To understand which types of Medicare patients with diabetes disproportionately used telehealth during the coronavirus disease 2019 pandemic and how their characteristics mediated their inpatient and emergency department (ED) utilization. Methods: Logistic regression analyses were used to measure the associations between patient characteristics and telehealth utilization using electronic health records among Medicare patients with diabetes (n = 31,654). Propensity score matching was used to examine the relative impact of telehealth use in conjunction with race, ethnicity, and age on inpatient and ED outcomes. Results: Telehealth was associated with age (75-84 vs. 65-74; odds ratio [OR] = 0.810, p < 0.01), gender (female: OR = 1.148, p < 0.01), and chronic diseases (e.g., lung disease: OR = 1.142; p < 0.01). Black patients using telehealth were less likely to visit the ED (estimate = -0.018; p = 0.08), whereas younger beneficiaries using telehealth were less likely to experience an inpatient stay (estimate = -0.017; p = 0.06). Conclusions: Telehealth expansion particularly benefited the clinically vulnerable but saw uneven use and uneven benefit along sociodemographic lines. Clinical Trial Registration Number: NCT03136471.

The ACTIVATE Digital Health Pilot Program for Diabetes and Hypertension in an Underserved and Rural Community

BACKGROUND

Community health centers and patients in rural and agricultural communities struggle to address diabetes and hypertension in the face of health disparities and technology barriers. The stark reality of these digital health disparities were highlighted during the coronavirus disease 2019 pandemic.

OBJECTIVES

The objective of the ACTIVATE (Accountability, Coordination, and Telehealth in the Valley to Achieve Transformation and Equity) project was to codesign a platform for remote patient monitoring and program for chronic illness management that would address these disparities and offer a solution that fit the needs and context of the community.

METHODS

ACTIVATE was a digital health intervention implemented in three phases: community codesign, feasibility assessment, and a pilot phase. Pre- and postintervention outcomes included regularly collected hemoglobin A1c (A1c) for participants with diabetes and blood pressure for those with hypertension.

RESULTS

Participants were adult patients with uncontrolled diabetes and/or hypertension (n = 50). Most were White and Hispanic or Latino (84%) with Spanish as a primary language (69%), and the mean age was 55. There was substantial adoption and use of the technology: over 10,000 glucose and blood pressure measures were transmitted using connected remote monitoring devices over a 6-month period. Participants with diabetes achieved a mean reduction in A1c of 3.28 percentage points (standard deviation [SD]: 2.81) at 3 months and 4.19 percentage points (SD: 2.69) at 6 months. The vast majority of patients achieved an A1c in the target range for control (7.0-8.0%). Participants with hypertension achieved reductions in systolic blood pressure of 14.81 mm Hg (SD: 21.40) at 3 months and 13.55 mm Hg (SD: 23.31) at 6 months, with smaller reductions in diastolic blood pressure. The majority of participants also reached target blood pressure (less than 130/80).

CONCLUSION

The ACTIVATE pilot demonstrated that a codesigned solution for remote patient monitoring and chronic illness management delivered by community health centers can overcome digital divide barriers and show positive health outcomes for rural and agricultural residents.

Performance Measures for Physicians Providing Clinical Care Using Telemedicine: A Position Paper From the American College of Physicians

There has been an exponential growth in the use of telemedicine services to provide clinical care, accelerated by the COVID-19 pandemic. Clinical care delivered via telemedicine has become a major and accepted method of health care delivery for many patients. There is an urgent need to understand quality of care in the telemedicine environment. This American College of Physicians position paper presents 6 recommendations to ensure the appropriate use of performance measures to evaluate quality of clinical care provided in the telemedicine environment.

Factors Associated With Diabetes Distress Among Patients With Poorly Controlled Type 2 Diabetes

Objective

Examine factors associated with increased diabetes distress (DD) among patients with type 2 diabetes with DD assessed by Diabetes Distress Scale (DDS) total and subscale scores (emotional burden, physician-related distress, regimen-related distress, and interpersonal distress).

Methods

Cross-sectional analysis of data from veterans with persistently poorly controlled diabetes mellitus. Multivariable linear regression models included baseline patient characteristics (independent variables) and DDS total and subscale scores (dependent variable).

Results

The cohort's (N = 248) mean age was 58 years (SD 8.3); 21% were female, 79% were non-White, and 5% were Hispanic/Latinx. Mean hemoglobin A1c (HbA1c) was 9.8%, and 37.5% had moderate to high DD. Hispanic/Latinx ethnicity (β=0.41; 95% CI 0.01, 0.80), baseline HbA1c (0.07; 95% CI 0.01,0.13), and higher Personal Health Questionnaire-8 (PHQ-8) scores (0.07; 95% CI 0.05, 0.09) were associated with higher total DD. Hispanic/Latinx ethnicity (0.79; 95% CI 0.25, 1.34) and higher PHQ-8 (0.05; 95% CI 0.03, 0.08) were associated with higher interpersonal-related distress. Higher HbA1c (0.15; 95% CI 0.06, 0.23) and higher PHQ-8 scores (0.10; 95% CI 0.07, 0.13) were associated with higher regimen-related distress. The use of basal insulin (0.28; 95% CI 0.001, 0.56) and higher PHQ-8 (0.02; 95% CI 0.001, 0.05) were associated with higher physician-related distress. Higher PHQ-8 (0.10; 95% CI 0.07, 0.12) was associated with higher emotional burden.

Conclusion

Hispanic/Latinx ethnicity, depressive symptoms, uncontrolled hyperglycemia, and insulin use were associated with higher risk for DD. Future research should explore these relationships, and interventions designed to reduce diabetes distress should consider accounting for these factors.

Ethnic disparities in medication adherence? A systematic review examining the association between ethnicity and antidiabetic medication adherence

OBJECTIVES

Adherence to prescribed medication is an essential component of diabetes management to obtain optimal outcomes. Understanding the relationship between medication adherence and ethnicity is key to optimising treatment for all people with different chronic illnesses, including those with diabetes. The aim of this review is to examine whether the adherence to antidiabetic medications differed by ethnicity among people with diabetes.

METHODS

A systematic review was conducted of studies reporting adherence to antidiabetic medication amongst people from different ethnic groups. MEDLINE, Embase, CINAHL, and PsycINFO were searched from their inception to June 2022 for quantitative studies with a specific focus on studies assessing adherence to antidiabetic medications (PROSPERO: CRD42021278392). The Joanna Briggs Institute critical appraisal checklist and a second checklist designed for studies using retrospective databases were used to assess study quality. A narrative synthesis approach was used to summarize the results based on the medication adherence measures.

RESULTS

Of 17,410 citations screened, 41 studies that included observational retrospective database research and cross-sectional studies were selected, each of which involved diverse ethnic groups from different settings. This review identified a difference in the adherence to antidiabetic medications by ethnicity in 38 studies, despite adjustment for several confounding variables that may otherwise explain these differences.

CONCLUSION

This review revealed that adherence to antidiabetic medication differed by ethnicity. Further research is needed to explore the ethnicity-related factors that may provide an explanation for these disparities.

Factors associated with telehealth use among adults in the United States: Findings from the 2020 National Health Interview Survey

INTRODUCTION

During the COVID-19 pandemic, health care shifted to virtual interactions with health professionals. The aim of this study was to examine the determinants of telehealth use in a nationally representative sample of the United States adult population.

METHODS

The study used data from the 2020 National Health Interview Survey of 17,582 respondents aged ≥18. Andersen's model of health services utilization was employed to examine predisposing, enabling, and needs factors associated with past-year telehealth use. Multivariable logistic regression was conducted to examine statistical associations.

RESULTS

32.5% of adults (n = 6402; mean age 51.6, SE = 0.4) reported telehealth use. Predisposing factors: Women and married/partnered adults and those with higher levels of education had greater odds of using telehealth. Adults living in Midwest and South and adults living in medium-small and non-metropolitan areas had decreased odds of using telehealth. Enabling factors: Income and having a usual source of care were positively associated with telehealth use. A negative association was found for those with no insurance and telehealth use, whereas a positive association was found for military insurance. Needs factors: Odds of using telehealth were increased for adults who had well-visits and ER visits in the past 12 months. Mental health services quadrupled the odds of telehealth use. Odds of using telehealth increased with each additional chronic disease, including COVID-19.

CONCLUSION

There are disparities in telehealth use according to sex, education, rurality, access to care, and health needs. Tackling these disparities is pivotal to ensure barriers to telehealth use are not exacerbated post-pandemic.

Factors Associated with Arkansans' First Use of Telehealth during the COVID-19 Pandemic

Objective

To examine the factors associated with the first use of telehealth during the COVID-19 pandemic using Andersen's Model of Healthcare Utilization. Andersen's Model of Healthcare Utilization allowed the categorization of the independent variables into the following: (1) predisposing factors, including sociodemographic variables and health beliefs; (2) enabling factors, including socioeconomic status and access to care; and (3) need for care, including preexisting or newly diagnosed conditions and reasons to seek out care or to utilize a new mode of care.

Methods

Potential respondents (n = 4,077) were identified for recruitment from a volunteer registry in Arkansas. Recruitment emails provided a study description, the opportunity to verify meeting the study's inclusion criteria and to consent for participation, and a link to follow to complete the survey online. The online survey responses were collected between July and August of 2020 (n = 1,137).

Results

Telehealth utilization included two categories: (1) utilizers reported the first use of telehealth services during the pandemic, and (2) nonutilizers reported they had never used telehealth. Lower odds of reporting telehealth utilization during the pandemic were associated with race (Black; OR = 0.57, CI [0.33, 0.96]) and education (high School or less; OR = 0.45, CI [0.25, 0.83]). Higher odds of reporting telehealth utilization included having more than one provider (OR = 2.33, CI [1.30, 4.18]), more physical (OR = 1.12, CI [1.00, 1.25]) and mental (OR 1.53, CI [1.24, 1.88]) health conditions, and changes in healthcare delivery during the pandemic (OR = 3.49, CI [2.78, 4.38]).

Conclusions

The results illustrate that disparities exist in Arkansans' utilization of telehealth services during the pandemic. Future research should explore the disparities in telehealth utilization and how telehealth may be used to address disparities in care for Black Arkansans and those with low socioeconomic status.

Continuous glucose monitoring in primary care - are we there?

PURPOSE OF REVIEW

In this review, we examine the expanding role of continuous glucose monitoring in glycaemic management in primary care.

RECENT FINDINGS

Improving technology and decreasing cost have increased the uptake of use of continuous glucose monitoring (CGM) for glycaemic management in primary care, wherein most diabetes is managed. Optimized use of this technology, however, will require a convergence of several factors. Availability of devices for people with diabetes, availability of data at the time of clinical interactions, and expertise in interpretation of CGM and ambulatory glucose profile (AGP) data, as well as optimization of therapies, will be required. Significant progress has been made in all three areas in recent years, yet creating systems of support for widespread use of CGM in primary care remains an area of active investigation.

SUMMARY

There has been significant uptake in the use of CGM in the management of diabetes in primary care. Optimized use, however, requires both access to CGM data and the expertise to use the data. Although promising strategies have emerged, the task of generalizing these strategies to the broad population of primary care in America is ongoing. CGM technology holds significant potential for improving glycaemic management in primary care, yet important work remains to leverage the full potential of this promising technology.

Diabetes Self-Care Behaviors and Barriers to Clinical Care During COVID-19 Pandemic for Marshallese Adults

PURPOSE

The purpose of the study was to explore experiences of Marshallese adults related to diabetes self-care behaviors during the COVID-19 pandemic.

METHODS

A qualitative descriptive design was utilized to understand participants' diabetes self-care behaviors during the pandemic. Nine focus groups with 53 participants were held via videoconference and conducted in English, Marshallese, or a mixture of both languages. A priori codes based on diabetes self-care behaviors provided a framework for analyzing and summarizing participant experiences.

RESULTS

Both increases and decreases in healthy eating and exercise were described, with improvements in health behaviors attributed to health education messaging via social media. Participants reported increased stress and difficulty monitoring and managing glucose. Difficulty obtaining medication and difficulty seeing their health care provider regularly was reported and attributed to health care provider availability and lack of insurance due to job loss.

CONCLUSIONS

The study provides significant insight into the reach of health education campaigns via social media and provides important information about the reasons for delays in care, which extend beyond fear of contracting COVID-19 to structural issues.

Health information technology and equity: Applying history's lessons to tomorrow's innovations

Health and health care disparities are widespread with major impacts on outcomes for children and families. Inequitable care is poor quality care. Though health IT has the potential to improve disparities, health IT implementation can have unintended consequences of widening, maintaining, or creating disparities by disproportionately benefiting advantaged children, adolescents, and their caregivers. Narrowing disparities can be achieved by embracing an approach that places marginalized patients at the center of health IT design and implementation. Health care systems can leverage the disparity-reducing potential of health information technologies by housing innovation within an equity framework. Initial steps include evaluating for disparities exacerbated by health IT, implementing universal precautions to prevent health IT intervention-generated inequalities, and co-designing future innovations with marginalized communities. By directly addressing community needs, health IT systems designed to effectively benefit underserved children, adolescents, and their caregivers have the potential to yield more equitable health care IT, and better outcomes for our young patients.

Racial and Socioeconomic Disparities in Utilization of Telehealth in Patients with Liver Disease During COVID-19

BACKGROUND AND AIMS

The coronavirus disease 2019 (COVID-19) pandemic resulted in a rapid expansion of telehealth services in hepatology. However, known racial and socioeconomic disparities in internet access potentially translate into barriers for the use of telehealth, particularly video technology. The specific aim of this study was to determine if disparities in race or socioeconomic status exist among patients utilizing telehealth visits during COVID-19.

METHODS

We performed a retrospective cohort study of all adult patients evaluated in hepatology clinics at Duke University Health System. Visit attempts from a pre-COVID baseline period (January 1, 2020 through February 29, 2020; n = 3328) were compared to COVID period (April 1, 2020 through May 30, 2020; n = 3771).

RESULTS

On multinomial regression modeling, increasing age was associated with higher odds of a phone or incomplete visit (canceled, no-show, or rescheduled after May 30,2020), and non-Hispanic Black race was associated with nearly twice the odds of completing a phone visit instead of video visit, compared to non-Hispanic White patients. Compared to private insurance, Medicaid and Medicare were associated with increased odds of completing a telephone visit, and Medicaid was associated with increased odds of incomplete visits. Being single or previously married (separated, divorced, widowed) was associated with increased odds of completing a phone compared to video visit compared to being married.

CONCLUSIONS

Though liver telehealth has expanded during the COVID-19 pandemic, disparities in overall use and suboptimal use (phone versus video) remain for vulnerable populations including those that are older, non-Hispanic Black, or have Medicare/Medicaid health insurance.

Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?

Background: One lesson from the current COVID-19 pandemic is the need to optimize health care provision outside of traditional settings, and potentially over longer periods of time. An important strategy is remote patient monitoring (RPM), allowing patients to remain at home, while they transmit health data and receive follow-up services. Materials and Methods: We conducted an overview of the latest systematic reviews that had included randomized controlled trials with adult patients with chronic diseases. We summarized results and displayed these in forest plots, and used GRADE (Grading of Recommendations Assessment, Development, and Evaluation) to assess our certainty of the evidence. Results: We included 4 systematic reviews that together reported on 11 trials that met our definition of RPM, each including patients with diabetes and/or hypertension. RPM probably makes little to no difference on HbA1c levels. RPM probably leads to a slight reduction in systolic blood pressure, with questionable clinical meaningfulness. RPM probably has a small negative effect on the physical component of health-related quality of life, but the clinical significance of this reduction is uncertain. We have low confidence in the finding that RPM makes no difference to the remaining five primary outcomes. Conclusion: Most of our findings are consistent with reviews of other, broader definitions of RPM. The type of RPM examined in this review is as effective as standard treatment for patients with diabetes/hypertension. If this or other types of RPM are to be used for "long covid" patients or for other chronic disease groups post-pandemic, we need to understand why RPM may negatively affect quality of life.

Factors Associated with First-Time Telehealth Utilization for Marshallese Living in the United States

Background: Mitigation efforts to prevent the spread of COVID-19 included the robust utilization of telehealth. However, racial/ethnic minority populations have demonstrated low telehealth utilization in the past. The aim of this study was to examine the first-time use of telehealth by Marshallese adults during the COVID-19 pandemic, using online survey data collected from 109 Marshallese respondents between July and November of 2020. Methods: To evaluate the relationships between sociodemographic characteristics, health care access, physical/mental health, and COVID-19-specific measures and the decision to use telehealth, we use bivariate analyses, including t-tests and chi-square analysis. Results: Eighteen respondents (16.5%) indicated they utilized telehealth for the first time during the pandemic. The number of chronic conditions reported was positively associated with the first-time use of telehealth (p = 0.013). Although not statistically significant, a higher proportion of Marshallese first-time telehealth users reported limited English proficiency, changes in health status, and changes in health insurance. Discussion: Although telehealth has been shown to reduce the absolute gaps in health disparities for minority populations, there is limited utilization by Marshallese communities. Conclusions: Significant research remains on the utilization of telehealth by Marshallese during the COVID-19 pandemic and to increase utilization in the future.