Population Health Management for Diabetes: Health Care System-Level Approaches for Improving Quality and Addressing Disparities

Improving outcomes of type 2 diabetes mellitus patients in primary care with Chronic Care Model: A narrative review

Designed and implemented over two decades ago, the Chronic Care Model is a well-established chronic disease management framework that has steered several healthcare systems in successfully improving the clinical outcomes of patients with type 2 diabetes mellitus. Research evidence cements the role of the Chronic Care Model (with its six key elements of organization of healthcare delivery system, self-management support, decision support, delivery system design, clinical information systems, and community resources and policies) as an integrated framework to revamp the type 2 diabetes mellitus-related clinical practice and care that betters the patient care and clinical outcomes. The current review is an evidence-lit summary of importance of use of Chronic Care Model in primary care and their impact on clinical outcomes for patients afflicted with one of the most debilitating metabolic diseases, type 2 diabetes mellitus.

Multidisciplinary proactive e-consults to improve guideline-directed medical therapies for patients with diabetes and chronic kidney disease: an implementation study

INTRODUCTION

We hypothesized that multidisciplinary, proactive electronic consultation (MPE) could overcome barriers to prescribing guideline-directed medical therapies (GDMTs) for patients with type 2 diabetes (T2D) and chronic kidney disease (CKD).

RESEARCH DESIGN AND METHODS

We conducted an efficacy-implementation pilot study of MPE for T2D and CKD for primary care provider (PCP)-patient dyads at an academic health system. MPE included (1) a dashboard to identify patients without a prescription for sodium-glucose cotransporter-2 inhibitors (SGLT2i) and without a maximum dose prescription for renin-angiotensin-aldosterone system inhibitors (RAASi), (2) a multidisciplinary team of specialists to provide recommendations using e-consult templates, and (3) a workflow to deliver timely e-consult recommendations to PCPs. In-depth interviews were conducted with PCPs and specialists to assess feasibility, acceptability, and appropriateness of MPE and were analyzed using an iterative qualitative analysis approach to identify major themes. Prescription data were extracted from the electronic health record to assess preliminary effectiveness to increase GDMT.

RESULTS

20 PCPs agreed to participate, 18 PCPs received MPEs for one of their patients with T2D and CKD, and 16 PCPs and 2 specialists were interviewed. Major themes were as follows: appropriateness of prioritization of GDMT for T2D and CKD, acceptability of the content of the recommendations, PCP characteristics impact experience with MPE, acceptability and appropriateness of multidisciplinary collaboration, feasibility of MPE to overcome patient-specific barriers to GDMT, and appropriateness of workflow. At 6 months postbaseline, 7/18 (39%) patients were newly prescribed an SGLT2i, and 7/18 (39%) patients were either newly prescribed or had increased dose of RAASi.

CONCLUSIONS

MPE was an acceptable and appropriate health system strategy to identify and address gaps in GDMT among patients with T2D and CKD. Adopting MPE could enhance GDMT, though PCPs raised feasibility concerns which could be improved with program enhancements, including follow-up e-consults for reinforcement, and administrative support for navigating system-level barriers.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at https://professional.diabetes.org/SOC.

Outcome of management based on "1+X" model in a health examination center

OBJECTIVE

To investigate the effect of management measures based on the "1+X" model in physical examination centers.

METHODS

This retrospective study was conducted on 5362 individuals who underwent physical examinations in Heping Hospital Affiliated to Changzhi Medical College from January 1, 2020 to December 31, 2022. These subjects were divided into an observation group (n=2681) and a control group (n=2681) according to the different management measures. Subjects from the control group were given routine management measures, while those from the observation group were given management measures based on the "1+X" model. The scores of negative emotions, waiting time for physical examination, acquisition of health knowledge, satisfaction for the physical examinations, and efficiency and degree of credibility in medical management were evaluated and compared between the two groups.

RESULTS

After management, the scores of anxiety and depression in both groups were significantly reduced in contrast to before management, and the two scores were significantly lower in the observation group than those in the control group (P<0.05). The observation group experienced significantly shorter waiting time for routine urination, blood sampling, internal and surgical examinations, and electrocardiogram than the control group (all P<0.001). The acquisition of health knowledge in the observation group was significantly better than that in the control group (P<0.05). The satisfaction rates of the observation group in the terms of service attitude, examination environment, health education, and follow-up services were significantly better than those in the control group (all P<0.05). Moreover, the efficiency and degree of credibility in medical management in the observation group were better than those in the control group.

CONCLUSION

The application of management measures based on the "1+X" model has a good effect in our physical examination center. On the one hand, it can significantly reduce the waiting time for various physical examinations and alleviate the negative emotions of physical examinees. On the other hand, it can effectively enhance the overall acquisition of health knowledge, the satisfaction of physical examination, and the efficiency and degree of credibility in medical management. This management model is worthy of clinical promotion and application.

Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system

BACKGROUND

Mental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes.

METHODS

Since diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014-2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions.

RESULTS

Substantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on total costs.

CONCLUSIONS

The current MH care system in Italy lacks evidence of coordination of physical and mental health and matching services to patient needs, with high variation between regions. Using available assessment tools and administrative data, implementation of an episodic approach to funding MH could account for differences in disease phase and physical health for patients with SMDs and introduce performance measurement to improve outcomes and provide oversight.

Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study

BACKGROUND

Diabetes mellitus (DM) imposes a significant disease burden in economically transitioning regions. Most transitioning regions share similar experience in urbanization processes. Shanghai's Pudong district serves as a representative area of such regions.

OBJECTIVE

We aimed to assess the burden of and trends in DM mortality in Shanghai's Pudong district and analyze the impact of aging and multimorbidity.

METHODS

A longitudinal, population-based study was conducted to analyze DM mortality in Pudong from 2005 to 2020. We used joinpoint regression to analyze epidemiological features and long-term trends in crude mortality rate (CMR), age-standardized mortality rate worldwide (ASMRW), and years of life lost (YLL). Furthermore, the decomposition method was used to evaluate the contribution of demographic and nondemographic factors associated with mortality.

RESULTS

There were 49,414 deaths among individuals with DM, including 15,512 deaths due to DM. The CMR and ASMRW were 109.55/105 and 38.01/105 person-years, respectively. Among the mortality associated with and due to DM, the total annual ASMRW increased by 3.65% (95% CI 3.25%-4.06%) and 1.38% (95% CI 0.74%-2.02%), respectively. Additionally, the total annual YLL rate increased by 4.98% (95% CI 3.92%-6.05%) and 2.68% (95% CI 1.34%-4.04%). The rates of YLL increase in persons aged 30 to 44 years (3.98%, 95% CI 0.32%-7.78%) and 45 to 59 years (4.31%, 95% CI 2.95%-5.69%) were followed by the increase in persons aged 80 years and older (10.53%, 95% CI 9.45%-11.62%) for deaths associated with DM. The annual CMR attributable to demographic factors increased by 41.9% (95% CI 17.73%-71.04%) and 36.72% (95% CI 16.69%-60.2%) for deaths associated with and due to DM, respectively. Hypertension, cerebrovascular disease, and ischemic heart disease were the top 3 comorbidities.

CONCLUSIONS

Aging and multimorbidity played essential roles in changing the burden of DM in an urbanizing and transitioning region. There is an increasing disease burden among young and middle-aged people, emphasizing the need for greater attention to these groups. Health management is an emerging method that holds important implications for alleviating the future burden of DM.

[Indicators of diabetes mellitus after liraglutide, sitagliptin/metformin, linagliptin, and sitagliptin]

Background

The control of diabetes mellitus is multifactorial, the different therapeutic options make it necessary to compare the effectiveness with previous therapeutic schemes.

Objective

Analize the indicators of control of diabetes mellitus after incorporating liraglutide, sitagliptin/metformin, linagliptin, and sitagliptin.

Methods

Observational, analytical, longitudinal study. Glucose, glycosylated hemoglobin, and blood pressure were compared after the inclusion of new cues in patients with diabetes mellitus; in addition to the control indicators reported in the unit in october, november, and december 2000, with those of 2021 in the same months. A descriptive analysis was performed, T for related samples and McNemar, a value of < .05 was considered significant, a confidence level of 95%, with the IBM-SPSS 24 software.

Results

352 files were analyzed, 59% women, aged 26 to 88 years, and the percentage of control decreased after the change of scheme (38.4% vs 35.8%) without a statistical difference (p .503). There was no statistical difference between the levels of glucose, glycated hemoglobin, weight, and blood pressure before and six months after the change. In the unit, the regimen glycemic control indicator improved in October, November, and December 2020 compared to the same months in 2021, it increased (from 17.2, 18.7, and 16.3, to 41.6, 47.2, and 46.5%). Blood pressure control went from 64.5, 66.7, and 67 to 82.4, 85.1, and 83.1%.

Conclusions

The control indicators in the unit improved, however, the patients who used the new keys did not show any difference.

Association of Diabetic Retinopathy with Chronic Kidney Disease Progression in Latinos with Type 2 Diabetes

Aims

Diabetes remains a leading cause of blindness and kidney failure in the United States. Latinos are at increased risk for type 2 diabetes, and microvascular complications such as diabetic retinopathy (DR) and chronic kidney disease (CKD). We evaluated the association of DR with decline in kidney function in Latinos with type 2 diabetes with or without CKD in a multispecialty clinic.

Methods

This is a retrospective cohort study of 351 self-identified Latino individuals with type 2 diabetes enrolled in the Latino Diabetes Initiative at Joslin Diabetes Center. Baseline demographic factors including age, sex, comorbidities, and laboratory values such as A1c and albuminuria were evaluated as predictors of kidney outcomes. The annualized change in estimated glomerular filtration rate (eGFR) was evaluated with a linear regression model. We used logistic regression to evaluate whether DR was associated with development of rapid progressors (>3 mL/min/y eGFR loss) and 30% change in eGFR per year.

Results

DR was present in 39.2% of the cohort with mild nonproliferative DR (NPDR) in 57.1%, moderate to severe NPDR in 27.8%, and proliferative DR in 15.0%. Those with DR had a longer duration of type 2 diabetes (P<.001), higher albuminuria (P=.003), and lower baseline eGFR (P=.001). We found that individuals with moderate to severe NPDR and proliferative DR had a significant decline in GFR (coefficient -6.32; 95% CI, -11.40 to -1.23) and -7.82 (-14.99 to -0.65), compared with individuals without DR.

Conclusions

The presence of DR is a marker for increased eGFR loss, emphasizing the need for routine retinal examinations as part of comprehensive diabetes care. Individuals with DR should be considered at high risk for GFR loss.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

A Quality Measurement Framework for Emergency Department Care of Psychiatric Emergencies

As a primary access point for crisis psychiatric care, the emergency department (ED) is uniquely positioned to improve the quality of care and outcomes for patients with psychiatric emergencies. Quality measurement is the first key step in understanding the gaps and variations in emergency psychiatric care to guide quality improvement initiatives. Our objective was to develop a quality measurement framework informed by a comprehensive review and gap analysis of quality measures for ED psychiatric care. We conducted a systematic literature review and convened an expert panel in emergency medicine, psychiatry, and quality improvement to consider if and how existing quality measures evaluate the delivery of emergency psychiatric care in the ED setting. The expert panel reviewed 48 measures, of which 5 were standardized, and 3 had active National Quality Forum endorsement. Drawing from the measure appraisal, we developed a quality measurement framework with specific structural, process, and outcome measures across the ED care continuum. This framework can help shape an emergency medicine roadmap for future clinical quality improvement initiatives, research, and advocacy work designed to improve outcomes for patients presenting with psychiatric emergencies.

A Risk Stratification Approach to Allocating Diabetes Education and Support Services

The objective of this study was to describe a predictive modeling approach to risk stratify people with type 2 diabetes for diabetes self-management education and support (DSMES) services. With data from a large health system, a predictive model including age, glycated hemoglobin (HbA1c), and insulin use among other factors, was developed to assess risk of future high HbA1c. The model was retrospectively applied to a cohort of people who received DSMES over a 2-year period to assess the impact of DSMES on glycemia by risk strata. Of 6934 eligible people, 4014 (58%) were in the composite low-risk group and 2604 (38%) were in the composite high-risk group. Mean HbA1c change after DSMES was -0.38% in the low-risk group and -0.84% in the high-risk group. This analysis demonstrates the potential application of predictive modeling as one approach to target DSMES resources to people who will benefit most.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

New Horizons-Addressing Healthcare Disparities in Endocrine Disease: Bias, Science, and Patient Care

Unacceptable healthcare disparities in endocrine disease have persisted for decades, and 2021 presents a difficult evolving environment. The COVID-19 pandemic has highlighted the gross structural inequities that drive health disparities, and antiracism demonstrations remind us that the struggle for human rights continues. Increased public awareness and discussion of disparities present an urgent opportunity to advance health equity. However, it is more complicated to change the behavior of individuals and reform systems because societies are polarized into different factions that increasingly believe, accept, and live different realities. To reduce health disparities, clinicians must (1) truly commit to advancing health equity and intentionally act to reduce health disparities; (2) create a culture of equity by looking inwards for personal bias and outwards for the systemic biases built into their everyday work processes; (3) implement practical individual, organizational, and community interventions that address the root causes of the disparities; and (4) consider their roles in addressing social determinants of health and influencing healthcare payment policy to advance health equity. To care for diverse populations in 2021, clinicians must have self-insight and true understanding of heterogeneous patients, knowledge of evidence-based interventions, ability to adapt messaging and approaches, and facility with systems change and advocacy. Advancing health equity requires both science and art; evidence-based roadmaps and stories that guide the journey to better outcomes, judgment that informs how to change the behavior of patients, providers, communities, organizations, and policymakers, and passion and a moral mission to serve humanity.

Polypharmacy and Potentially Inappropriate Medication Use in Older Blacks with Diabetes Mellitus Presenting to the Emergency Department

Background: Medication-related problems in older Blacks with diabetes mellitus (DM) are not well established. Objectives: To describe the frequency of medication-related problems in older Blacks with DM presenting to the emergency department (ED). Methods: The study was a cross-sectional analysis of baseline data from a randomized controlled trial evaluating Blacks aged ≥60 years of age presenting to the ED. Polypharmacy, potentially inappropriate medication (PIM) use, and anticholinergic score were evaluated. Results: Of 168 patients (median age = 68, range 60-92), most (n = 164, 98%) were taking ≥5 medications, and 67 (39.9%) were taking a PIM. A majority (n = 124, 74%) were taking a medication with an anticholinergic score ≥1. Number of medications was correlated with number of PIMs (r = .22, p = .004) and anticholinergic score (r = .50, p < .001). Conclusion: Polypharmacy and PIM use was common in older Blacks with DM.

A Guideline-Based Decision Tree Achieves Better Glucose Control with Less Hypoglycemia at 3 Months in Chinese Diabetic Patients

INTRODUCTION

China has the world's largest diabetes epidemic and has been facing a serious shortage of primary care providers for chronic diseases including diabetes. To help primary care physicians follow guidelines and mitigate the workload in primary care communities in China, we developed a guideline-based decision tree. This study aimed to validate it at 3 months with real-world data.

METHODS

The decision tree was developed based on the 2017 Chinese Type 2 Diabetes (T2DM) guideline and 2018 guideline for primary care. It was validated with the data from two registry studies: the NEW2D and ORBIT studies. Patients' data were divided into two groups: the compliance and non-compliance group, depending on whether the physician's prescription was consistent with the decision tree or not. The primary outcome was the difference of change in HbA1c from baseline to 3 months between the two groups. The secondary outcomes included the difference in the proportion of patients achieving HbA1c < 7% at 3 months between the two groups, the incidence of self-reported hypoglycemia at 3 months, and the proportion of patients (baseline HbA1c ≥ 7%) with a HbA1c reduction ≥ 0.3%. The statistical analysis was performed using linear or logistic regression with inverse probability of treatment weighting with adjustments of confounding factors.

RESULTS

There was a 0.9% reduction of HbA1c in the compliance group and a 0.8% reduction in the non-compliance group (P < 0.001); 61.1% of the participants in the compliance group and 44.3% of the participants in the non-compliance group achieved a HbA1c level < 7% at 3 months (P < 0.001). The hypoglycemic events occurred in 7.1% of patients in the compliance group vs. 9.4% in the non-compliance group (P < 0.001).

CONCLUSION

The decision tree can help physicians to treat their patients so that they achieve their glycemic targets with fewer hypoglycemic risks. ( http://www.clinicaltrials.gov NCT01525693 & NCT01859598).

Predictors of glycosylated haemoglobin A1C trend among type 2 diabetes patients in a multi-ethnic country

Good control of glycosylated haemoglobin A1C in diabetes patients prevents cardiovascular complications. We aim to describe the A1C trend and determine the predictors of the trend among type 2 diabetes patients in Malaysia. Longitudinal data in the National Diabetes Registry from 2013 to 2017 were analysed using linear mixed-effects modelling. Among 17,592 patients, 56.3% were females, 64.9% Malays, and the baseline mean age was 59.1 years. The U-shaped A1C trend changed marginally from 7.89% in 2013 to 8.07% in 2017. The A1C excess of 1.07% as reported in 2017 represented about 22% higher risk of diabetes-related death, myocardial infarction, and stroke, which are potentially preventable. The predictors for higher baseline A1C were non-Chinese ethnicity, younger age groups, longer diabetes duration, patients on insulin treatment, polypharmacy use, patients without hypertension, and patients who were not on antihypertensive agents. Younger age groups predicted a linear increase in the A1C trend, whereas patients on insulin treatment predicted a linear decrease in the A1C trend. Specifically, the younger adults and patients of Indian and Malay ethnicities had the poorest A1C trends. Targeted interventions should be directed at these high-risk groups to improve their A1C control.

Diabetes Complications in Racial and Ethnic Minority Populations in the USA

PURPOSE OF REVIEW

Racial and ethnic minority populations have a higher burden of diabetes-related complications. There have been many epidemiologic studies to better define these racial/ethnic disparities in diabetes outcomes with additional studies offering interventions to mitigate them. This narrative review highlights the epidemiologic trends in diabetes complications specific to racial and ethnic minorities and underscores differences in microvascular and macrovascular complications of diabetes, health care utilization, and diabetes prevention efforts and also reviews interventions aimed to reduce racial/ethnic disparities and their limitations.

RECENT FINDINGS

While we have seen in general an overall improvement in complication rates for all people with diabetes, the disparities between Black and Hispanic compared to non-Hispanic White people with diabetes seem to persist. There is a continued need to better understand the underlying causes of and strategies to mitigate race/ethnicity disparities in diabetes complications in the USA.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Social Determinants of Poor Management of Type 2 Diabetes Among the Insured

PURPOSE OF REVIEW

Even with insurance coverage increasing over time among the population with diabetes, a large proportion continues to have poorly controlled disease. The purpose of this narrative literature review is to describe the social determinants of poor management of type 2 diabetes among the insured population and illustrate drivers of poor outcomes beyond insurance coverage.

RECENT FINDINGS

Despite the provision of health insurance, social determinants play a significant role in shaping diabetes outcomes, especially for economic instability (employment, out-of-pocket expenses associated with diabetes management), food insecurity, education and literacy, access to quality health care (health systems designed to effectively manage chronic disease), neighborhood and the built environment (segregated neighborhoods, socioeconomic conditions of communities, housing), and social and community context (discrimination, social support). Multiple social determinants shape poor diabetes outcomes among the insured. These determinants are now being further exacerbated by the COVID-19 pandemic, which has created the worst economic crisis for US families since the Great Depression. The evidence of this review points to the imperative need for more multilevel intervention approaches to address these determinants in the management of diabetes.

Population Health Management in Diabetes Care: Combining Clinical Audit, Risk Stratification, and Multidisciplinary Virtual Clinics in a Community Setting to Improve Diabetes Care in a Geographically Defined Population. An Integrated Diabetes Care Pilot in the North East Locality, Oxfordshire, UK

Background:

Disparities in diabetes care are prevalent, with significant inequalities observed in access to, and outcomes of, healthcare. A population health approach offers a solution to improve the quality of care for all with systematic ways of assessing whole population requirements and treating and monitoring sub-groups in need of additional attention.

Description of the care practice:

Collaborative working between primary, secondary and community care was introduced in seven primary care practices in one locality in England, UK, caring for 3560 patients with diabetes and sharing the same community and secondary specialist diabetes care providers. Three elements of the intervention included 1) clinical audit, 2) risk stratification, and 3) the multi-disciplinary virtual clinics in the community.

Methods:

This paper evaluates the acceptability, feasibility and short-term impact on primary care of implementing a population approach intervention using direct observations of the clinics and surveys of participating clinicians.

Results and discussion:

Eighteen virtual clinics across seven teams took place over six months between March and July 2017 with organisation, resources, policies, education and approximately 150 individuals discussed. The feedback from primary care was positive with growing knowledge and confidence managing people with complex diabetes in primary care.

Conclusion:

Taking a population health approach helped to identify groups of people in need of additional diabetes care and deliver a collaborative health intervention across traditional organisational boundaries.

Racial and Ethnic Disparities in Diabetes Care Quality among Women of Reproductive Age in an Integrated Delivery System

BACKGROUND

Diabetes is increasingly prevalent among women of reproductive age, yet little is known about quality of diabetes care for this population at increased risk of diabetes complications and poor maternal and infant health outcomes. Previous studies have identified racial/ethnic disparities in diabetes care, but patterns among women of reproductive age have not been examined.

METHODS

This retrospective cohort study analyzed 2016 data from Kaiser Permanente Northern California, a large integrated delivery system. Outcomes were quality of diabetes care measures-glycemic testing, glycemic control, and medication adherence-among women ages 18 to 44 with type 1 or type 2 diabetes (N = 9,923). Poisson regression was used to estimate the association between patient race/ethnicity and each outcome, adjusting for other patient characteristics and health care use.

RESULTS

In this cohort, 83% of participants had type 2 diabetes; 31% and 36% of women with type 2 and type 1 diabetes, respectively, had poor glycemic control (hemoglobin A1c of ≥9%), and approximately one-third of women with type 2 diabetes exhibited nonadherence to diabetes medications. Compared with non-Hispanic White women with type 2 diabetes, non-Hispanic Black women (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3) and Hispanic women (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3) were more likely to have poor control. Findings among women with type 1 diabetes were similar.

CONCLUSIONS

Our findings indicate opportunities to decrease disparities and improve quality of diabetes care for reproductive-aged women. Elucidating the contributing factors to poor glycemic control and medication adherence in this population, particularly among Black, Hispanic, and Asian women, should be a high research and practice priority.

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

Introduction: Despite growing documentation of the efficacy of telemedicine in diabetes management, racial disparities in telemedicine-facilitated diabetes management remain underexplored. This study examined disparities in diabetes management outcomes between black and white patients with type 2 diabetes (T2D) in a remote monitoring program. Methods: The analysis sample included 914 white T2D patients and 365 black T2D patients in Nebraska who completed a 3-month remote patient monitoring and coaching after hospital discharge from 2014 to 2017. Ordinary least squares regression was estimated to examine racial differences in hemoglobin A1c (HbA1c), and logistic regression was used to determine the odds of HbA1c > 9% at the end of the program, controlling for demographics, baseline health conditions, and patient activation and engagement with the program. Results: The proportion of white patients with HbA1c > 9% was reduced from 16% at the baseline to 7% at program completion, and the corresponding reduction among black patients was from 30% to 18%. After adjusting for the effects of baseline HbA1c and other covariates, the average HbA1c among black patients at the end of the program was 0.23 points higher than that among white patients (p < 0.01), and the adjusted odds of black patients having HbA1c > 9% was 1.68 times that of white patients (95% confidence interval [1.07-2.63]). Discussion: The remote patient monitoring and coaching program reduced the absolute gap between black and white T2D patients. However, substantial racial disparities in HbA1c still remained at the end of the program and warranted further research.

Patient and primary care physician characteristics associated with billing incentives for chronic diseases in British Columbia: a retrospective cohort study

BACKGROUND

Incentive payments for chronic diseases in British Columbia were intended to support primary care physicians in providing more comprehensive care, but research shows that not all physicians bill incentives and not all eligible patients have them billed on their behalf. We investigated patient and physician characteristics associated with billing incentives for chronic diseases in BC.

METHODS

We conducted a retrospective cohort analysis using linked administrative health data to examine community-based primary care physicians and patients with eligible chronic conditions in BC during 2010-2013. Descriptive analyses of patients and physicians compared 3 groups: no incentives in any of the 4 years, incentives in all 4 years, and incentives in any of the study years. We used hierarchical logistic regression models to identify the patient- and physician-level characteristics associated with billing incentives.

RESULTS

Of 428 770 eligible patients, 142 475 (33.2%) had an incentive billed on their behalf in all 4 years, and 152 686 (35.6%) never did. Of 3936 physicians, 2625 (66.7%) billed at least 1 incentive in each of the 4 years, and 740 (18.8%) billed no incentives during the study period. The strongest predictors of having an incentive billed were the number of physician contacts a patient had (odds ratio [OR] for > 48 contacts 134.77, 95% confidence interval [CI] 112.27-161.78) and whether a physician had a large number of patients in his or her practice for whom incentives were billed (OR 42.38 [95% CI 34.55-52.00] for quartile 4 v. quartile 1).

INTERPRETATION

The findings suggest that primary care physicians bill incentives for patients based on whom they see most often rather than using a population health management approach to their practice.

Disseminating Strengths-Oriented Best Practices in Diabetes Care Utilizing a Standardized Language within a Global Community

Diabetes is a manageable chronic condition that contributes significantly to the global health burden of diseases and mandates a global collective effort to create an effective solution. This paper describes a community diabetes care pathway built upon a Strengths-Oriented Global Health Informatics Framework and an interdisciplinary standardized terminology, the Omaha System, along with a related translational process to disseminate best practices in diabetes care in China. This project demonstrates a novel strengths-oriented collaborative approach to disseminate best practices of diabetes management in global health communities and offers a potential to bring person-centered coordinated care to multi-levels of engagement that generate actionable and measurable results. Such collaboration opens a continued dialogue in the discourse for constructing global health informatics principles and practice to reduce the burden of diseases around the world.

Therapeutic Inertia: Still a Long Way to Go That Cannot Be Postponed

In the context of type 2 diabetes, the definition of therapeutic inertia should include the failure not only to intensify therapy, but also to deintensify treatment when appropriate and should be distinguished from appropriate inaction in cases justified by particular circumstances. Therapy should be intensified when glycemic control deteriorates to prevent long periods of hyperglycemia, which increase the risk of complications. Strategic plans to overcome therapeutic inertia must include actions focused on patients, prescribers, health systems, and payers. Therapeutic inertia affects the management of glycemia, hypertension, and lipid disorders, all of which increase the risk for cardiovascular diseases. Thus, multifactorial interventions that act on additional therapeutic goals beyond glycemia are needed.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2020

The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes the ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA’s clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Delivering family planning and preconception care to women with diabetes: Implementation challenges and promising strategies

Diabetes is increasingly prevalent among women of reproductive age and during pregnancy. The American Diabetes Association, which has called for improvements in the patient-centeredness of care, recommends preconception counseling and care for women of reproductive age with diabetes. However, data suggests this care is not sufficiently delivered. In this article, we describe demographic shifts in the need for preconception care and outline several changes at the clinical encounter as well as the health system- and community-levels that can help improve the delivery of diabetes-specific preconception care.

Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes

IN BRIEF Diabetes continues to represent a substantial individual and societal burden for those affected by the disease and its complications in the United States, and especially for racial/ethnic minorities, the socioeconomically disadvantaged, and the underinsured. Although tools and strategies are now available to manage the condition and its associated comorbidities at the patient level, we continue to struggle to gain control of this health burden at the population health level. Most patients are not achieving desired clinical goals and thus continue to be exposed to preventable risks and complications. As the U.S. health system moves toward a more value-based system of reimbursement, there are opportunities to rethink our approaches to patient and population health management and to harness the available tools and technologies to better understand the disease burden, stratify our patient populations by risk, redirect finite resources to high-impact initiatives, and facilitate better diabetes care management for patients and providers alike.

Advancing Pharmacist Collaborative Care within Academic Health Systems

Introduction: The scope of pharmacy practice has evolved over the last few decades to focus on the optimization of medication therapy. Despite this positive impact, the lack of reimbursement remains a significant barrier to the implementation of innovative pharmacist practice models. Summary: We describe the successful development, implementation and outcomes of three types of pharmacist collaborative care models: (1) a pharmacist with physician oversight, (2) pharmacist–interprofessional teams and (3) physician–pharmacist teams. The outcome measurement of these pharmacist care models varied from the design phase to patient volume measurement and to comprehensive quality dashboards. All of these practice models have been successfully funded by affiliated health systems or grants. Conclusions: The expansion of pharmacist services delivered by clinical faculty has several benefits to affiliated health systems: (1) significant improvements in patient care quality, (2) access to experts in specialty areas, and (3) the dissemination of outcomes with national and international recognition, increasing the visibility of the health system.

Prompting Patients with Poorly Controlled Diabetes to Identify Visit Priorities Before Primary Care Visits: a Pragmatic Cluster Randomized Trial

BACKGROUND

Most patients with diabetes do not meet all evidence-based goals of care, and many patients report poor communication and lack of involvement in decision-making during primary care visits.

OBJECTIVE

To test the hypothesis that a "Pre-Visit Prioritization" secure email message could improve visit communication and glycemic control among patients with type 2 diabetes.

DESIGN

We conducted a pragmatic, provider-randomized, multi-site clinical trial from March 2015 to October 2016 across 30 primary care practices within Kaiser Permanente Northern California (KPNC), a large integrated care delivery system.

PARTICIPANTS

Eligible patients had at least 1 year of KPNC membership, type 2 diabetes with most recently measured hemoglobin A1c (HbA1c) > = 8.0%, and were registered users of the KPNC online patient portal.

INTERVENTIONS

Patients in the intervention arm, upon booking an appointment, received a secure email through the KPNC online portal with a link to the EHR allowing them to submit their top one or two priorities prior to the visit. Control patients received usual care.

MAIN MEASURES

Glycemic control; change in HbA1c 6 and 12 months after the initial visit; patient-reported outcomes related to patient-provider communication and patient care experiences.

KEY RESULTS

During the study period, 1276 patients had at least one eligible visit. In post-visit surveys (n = 457), more intervention arm patients reported preparing questions for their visit (72% vs 63%, p = 0.048) and being given treatment choices to consider (81% vs 73%, p = 0.041). Patients in both arms had similar reductions in HbA1c over the 12-month study period (0.56% ± 1.45%), with no significant differences between arms.

CONCLUSIONS

A "light touch" email-based pre-visit intervention resulted in improved measures of visit interaction but did not significantly improve glycemic control relative to usual care. Improving diabetes clinical outcomes through more effective primary care visits may require more intensive approaches to patient visit preparation.

TRIAL REGISTRY

NCT02375932.

Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention

BACKGROUND

Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support.

OBJECTIVE

This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States.

METHODS

Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention.

RESULTS

Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls.

CONCLUSION

We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).

A Quality Framework for Emergency Department Treatment of Opioid Use Disorder

Emergency clinicians are on the front lines of responding to the opioid epidemic and are leading innovations to reduce opioid overdose deaths through safer prescribing, harm reduction, and improved linkage to outpatient treatment. Currently, there are no nationally recognized quality measures or best practices to guide emergency department quality improvement efforts, implementation science researchers, or policymakers seeking to reduce opioid-associated morbidity and mortality. To address this gap, in May 2017, the National Institute on Drug Abuse's Center for the Clinical Trials Network convened experts in quality measurement from the American College of Emergency Physicians' (ACEP's) Clinical Emergency Data Registry, researchers in emergency and addiction medicine, and representatives from federal agencies, including the National Institute on Drug Abuse and the Centers for Medicare & Medicaid Services. Drawing from discussions at this meeting and with experts in opioid use disorder treatment and quality measure development, we developed a multistakeholder quality improvement framework with specific structural, process, and outcome measures to guide an emergency medicine agenda for opioid use disorder policy, research, and clinical quality improvement.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2019

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Building Toward a Population-Based Approach to Diabetes Screening and Prevention for US Adults

PURPOSE OF REVIEW

Evidence-based treatments for prediabetes can prevent and delay the development of type 2 diabetes in adults. In this review, we propose a framework for population-based diabetes prevention that links screening and prevention activities across key stakeholders. We also discuss gaps in current practice, while highlighting opportunities to improve diabetes screening and prevention efforts population-wide.

RECENT FINDINGS

Awareness of diabetes risk is low, and many adults with prediabetes are not identified through existing screening efforts. Accumulating evidence and policies support expansion of the Diabetes Prevention Program (DPP) into clinical and community settings. However, the infrastructure to facilitate referrals and promote data exchange among patients, clinical settings, and community-based DPP programs is lacking. Development of evidence-driven, scalable processes for assessing diabetes risk, screening eligible adults, and delivering preventive treatments are needed to effectively improve the glycemic health of the US adult population.

The Impact of the Patient-Centered Medical Home on Health Care Disparities: Exploring Stakeholder Perspectives on Current Standards and Future Directions

Over the past decade, the Patient-Centered Medical Home (PCMH) has become a preeminent model for primary care delivery. Simultaneously, health care disparities have gained increasing attention. There has been limited research on whether and how the PCMH can or should affect health care disparities. The authors conducted qualitative interviews with key stakeholders and experts on the PCMH model and health care disparities, including grant and policy makers, accreditors, researchers, patient advocates, primary care practices, practice transformation organizations, and payers, to assess perspectives on the role of the PCMH in addressing health care disparities. The application of grounded theory and thematic analysis elucidated best practice recommendations for the PCMH model's role in addressing health care disparities. Although the majority of stakeholders support greater integration of efforts to reduce health care disparities into the PCMH model, most stakeholders view the current PCMH model as having minimal or indirect influence on health care disparities. The majority supported greater integration of efforts to reduce health care disparities into the PCMH model. As the PCMH model continues to be refined, and as the health care system strives toward improving population health, there must be reflection on the policies and delivery systems that impact health care disparities.

1. Improving Care and Promoting Health in Populations: Standards of Medical Care in Diabetes-2018

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multi-disciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/content/clinical-practice-recommendations.