Translating What Works: A New Approach to Improve Diabetes Management

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

Strategies to Overcome Therapeutic Inertia in Type 2 Diabetes Mellitus: A Scoping Review

The objectives of this review were to: 1) examine recent strategies and component interventions used to overcome therapeutic inertia in type 2 diabetes mellitus (T2DM), 2) map strategies to the causes of therapeutic inertia they target and 3) identify causes of therapeutic inertia in T2DM that have not been targeted by recent strategies. A systematic search of the literature published from January 2014 to December 2019 was conducted to identify strategies targeting therapeutic inertia in T2DM, and key strategy characteristics were extracted and summarized. The search identified 46 articles, employing a total of 50 strategies aimed at overcoming therapeutic inertia. Strategies were composed of an average of 3.3 interventions (range, 1 to 10) aimed at an average of 3.6 causes (range, 1 to 9); most (78%) included a type of educational strategy. Most strategies targeted causes of inertia at the patient (38%) or health-care professional (26%) levels only and 8% targeted health-care-system-level causes, whereas 28% targeted causes at multiple levels. No strategies focused on patients' attitudes toward disease or lack of trust in health-care professionals; none addressed health-care professionals' concerns over costs or lack of information on side effects/fear of causing harm, or the lack of a health-care-system-level disease registry. Strategies to overcome therapeutic inertia in T2DM commonly employed multiple interventions, but novel strategies with interventions that simultaneously target multiple levels warrant further study. Although educational interventions are commonly used to address therapeutic inertia, future strategies may benefit from addressing a wider range of determinants of behaviour change to overcome therapeutic inertia.

Advancing Health Policy and Program Research in Diabetes: Findings from the Natural Experiments for Translation in Diabetes (NEXT-D) Network

PURPOSE OF REVIEW

To advance our understanding of the impacts of policies and programs aimed at improving detection, engagement, prevention, and clinical diabetes management in the USA, we synthesized findings from a network of studies that used natural experiments to evaluate diabetes health policies and programs.

FINDINGS

Studies from the Natural EXperiments for Translation in Diabetes (NEXT-D) network used rigorous longitudinal quasi-experimental study designs (e.g., interrupted time series) and analytical methods (e.g., difference-in-differences) to augment causal inference. Investigators partnered with health system stakeholders to evaluate whether glucose testing rates changed from before-to-after clinic interventions (e.g., integrating electronic screening decision prompts in New York City) or employer programs (e.g., targeted messaging and waiving copayments for at-risk employees). Other studies examined participation and behavior change in low- (e.g., wellness coaching) or high-intensity lifestyle modification programs (e.g., diabetes prevention program-like interventions) offered by payers or employers. Lastly, studies assessed how employer health insurance benefits impacted healthcare utilization, adherence, and outcomes among people with diabetes. NEXT-D demonstrated that low-intensity interventions to facilitate glucose testing and enhance engagement in lifestyle modification were associated with small improvements in weight but large improvements in screening and testing when supported by electronic health record-based decision-support. Regarding high-intensity diabetes prevention program-like lifestyle programs offered by payers or employers, enrollment was modest and led to weight loss and marginally lower short-term health expenditures. Health plans that incentivize patient behaviors were associated with increases in medication adherence. Meanwhile, shifting patients to high-deductible health plans was associated with no change in medication use and preventive screenings, but patients with diabetes delayed accessing healthcare for acute complications (e.g., cellulitis). Findings were more pronounced among lower-income patients, who experienced increased rates and acuity of emergency department visits for diabetes complications and other high-severity conditions. Findings from NEXT-D studies provide informative data that can guide programs and policies to facilitate detection, prevention, and treatment of diabetes in practice.

Addressing Clinical Inertia in Type 2 Diabetes Mellitus: A Review

The current epidemic of type 2 diabetes (T2D) represents a significant global and national health concern. Globally, the prevalence of diabetes has doubled between 1980 and 2014. In 2014 the World Health Organization estimated that there were 422 million adults living with diabetes worldwide. In the USA, the number of people diagnosed with T2D is estimated to increase to over 70 million by 2050, putting an immense strain on the US healthcare system. Achieving glycemic control is widely acknowledged as the key goal of treatment in T2D and is critical for reducing the onset and progression of diabetes-related complications such as cardiovascular diseases, neuropathies, retinopathies, and nephropathies. Despite the increase in the availability of antihyperglycemic medications and evidence-based treatment guidelines, the proportion of people with T2D who fail to achieve glycemic goals continues to rise. One major contributor is a delay in treatment intensification despite suboptimal glycemic control, referred to as clinical or therapeutic inertia. Clinical inertia prolongs the duration of patients' hyperglycemia which subsequently puts them at increased risk of diabetes-associated complications and reduced life expectancy. Clinical inertia results from a complex interaction between patient, healthcare providers, and healthcare system barriers that need to be addressed together, rather than as separate entities. In this article we provide an overview of clinical inertia in the clinical management of T2D and provide suggestions for overcoming aspects that may have a negative impact on patient care.Funding: Sanofi US, Inc.

Glycemia management in a Slovenian general hospital

BACKGROUND

In-hospital hyperglycemia is common and associated with an increased risk of in-hospital mortality and extensive length of stay but there are only few studies on real-life hyperglycemia and diabetes management.

METHODS

In this cross-sectional, non-interventional, prospective study we analyzed medical charts on glycemia status at our internal medicine department for 5 consecutive months. Patients were grouped by departments and divided into subgroups by diabetes type, etiology and duration. Physicians answered a questionnaire regarding knowledge on national guidelines and personal opinions on the subject.

RESULTS

A total of 7080 capillary blood glucose measurements from 308 patients were included in the study. Patients were of Caucasian origin with a mean age 72.7 ± 10.7 years and 50.3% were male. Of the measurements 63.3% were within glycemia goals, 2.7% in the range of hypoglycemia and 0.3% of hyperglycemic syndromes. The mean value was 8.88 ± 3.5 mmol/l (159.84 ± 63 mg/dl). There were no differences in mean glucose measurements but significant differences in reaching glycemia target goals and frequency of acute complications between intensive care, general ward and palliative care patients. Subgroup analysis confirmed the association between glycemia management and newly discovered diabetes, type 1 diabetes, steroid use and disrupted food intake (p < 0.05 for all).

CONCLUSIONS

Our results on in-hospital glycemia management seem comparable to previously published data. Patients with newly discovered diabetes, type 1 diabetes, treated with steroids and those eating improperly should be closely monitored. Additional education on guidelines and steroid-induced hyperglycemia accompanied by updated medical charts represent possible improvements. Quality standards for in-hospital glycemia management should be established.