A decision support tool for appropriate glucose-lowering therapy in patients with type 2 diabetes

Role of a Digital Clinical Decision-Support System in General Practitioners' Management of COPD in Norway

Background

The study investigated if a web-based clinical decision–support system (CDSS) tool would improve general practitioners’ (GPs) accuracy of diagnosis and classification of patients with chronic obstructive pulmonary disease (COPD), and whether nonpharmacological and pharmacological treatment would be better aligned with the COPD guidelines.

Methods

GPs were randomized to either a single use of the CDSS or continuing standard of care. The clinical recommendations of the CDSS were based on the GOLD guidelines and provided suggestions for treatment and management of COPD. Data were collected digitally from GPs and patients in both groups using a tablet computer. A follow-up questionnaire was sent to the GPs 1 year after the conclusion of the study.

Results

A total of 25 GPs (31% women, mean age 41 years) participated, 12 randomized to using the CDSS tool and 13 followed standard of care when assessing their next five to ten COPD patients. In sum, 149 patients with presumed COPD were included (88 CDSS group, 61 standard-of-care group). In the CDSS group, no COPD misdiagnoses occurred, 98% received vaccine recommendations, and all smokers (n=39) received smoking-cessation advice. The standard-of-care group had 23% misdiagnosis (P<0.001), only 67% received vaccine recommendations (P<0.001), and 87% smoking-cessation advice (P=0.022. All told, 31% of patients did not receive medication as recommended according to guidelines, with no significant differences between the groups. GPs rated the CDSS as very useful. Mean usage time was 3 minutes, 26 seconds. A majority (13 of 19, 68%) of the GPs continued using the CDSS after the conclusion of the study. CAT score identified twice as many patients as having more symptoms than the mMRC, indicating the added value of the multi-item questionnaire.

Conclusion

Use of the CDSS was associated with preventing misdiagnosis of COPD and improved adherence to recommended nonpharmacological measures, but a single use did not improve pharmacological treatment considerations.

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Guiding Glucose Management Discussions Among Adults With Type 2 Diabetes in General Practice: Development and Pretesting of a Clinical Decision Support Tool Prototype Embedded in an Electronic Medical Record

BACKGROUND

Managing type 2 diabetes (T2D) requires progressive lifestyle changes and, sometimes, pharmacological treatment intensification. General practitioners (GPs) are integral to this process but can find pharmacological treatment intensification challenging because of the complexity of continually emerging treatment options.

OBJECTIVE

This study aimed to use a co-design method to develop and pretest a clinical decision support (CDS) tool prototype (GlycASSIST) embedded within an electronic medical record, which uses evidence-based guidelines to provide GPs and people with T2D with recommendations for setting glycated hemoglobin (HbA1c) targets and intensifying treatment together in real time in consultations.

METHODS

The literature on T2D-related CDS tools informed the initial GlycASSIST design. A two-part co-design method was then used. Initial feedback was sought via interviews and focus groups with clinicians (4 GPs, 5 endocrinologists, and 3 diabetes educators) and 6 people with T2D. Following refinements, 8 GPs participated in mock consultations in which they had access to GlycASSIST. Six people with T2D viewed a similar mock consultation. Participants provided feedback on the functionality of GlycASSIST and its role in supporting shared decision making (SDM) and treatment intensification.

RESULTS

Clinicians and people with T2D believed that GlycASSIST could support SDM (although this was not always observed in the mock consultations) and individualized treatment intensification. They recommended that GlycASSIST includes less information while maintaining relevance and credibility and using graphs and colors to enhance visual appeal. Maintaining clinical autonomy was important to GPs, as they wanted the capacity to override GlycASSIST's recommendations when appropriate. Clinicians requested easier screen navigation and greater prescribing guidance and capabilities.

CONCLUSIONS

GlycASSIST was perceived to achieve its purpose of facilitating treatment intensification and was acceptable to people with T2D and GPs. The GlycASSIST prototype is being refined based on these findings to prepare for quantitative evaluation.

Potentially inappropriate prescribing for adults with diabetes mellitus: a scoping review protocol

OBJECTIVE

This scoping review aims to explore and map studies investigating potentially inappropriate prescribing (PIP) for adults with diabetes mellitus.

INTRODUCTION

Inappropriate prescribing for people with diabetes mellitus has been reported by various authors focusing on different aspects of inappropriateness. A preliminary search revealed no published reviews on PIP for adults with diabetes mellitus. As a result, it is difficult to obtain a comprehensive map of PIP in this patient group.

INCLUSION CRITERIA

This scoping review will consider all studies on PIP for adults with the diagnosis of type 1 or type 2 diabetes mellitus from any clinical setting. Studies conducted in pediatric populations or in adults with pre-diabetes or gestational diabetes will be excluded.

METHODS

A three-step search strategy (i.e. an initial limited search in PubMed and ProQuest Central databases, a main search of eight databases and gray literature, and manual searches of reference lists of included articles) will be utilized. No language restrictions will be applied. All retrieved articles will be screened against the inclusion/exclusion criteria at title, abstract, and full-text stages. Data to be extracted from each study will include, but not be limited to, country, objective, study population, study methodology, type of PIP studied, examples of PIP events, medications involved, and criteria used for PIP identification. Data will be extracted by study team members using an online application for conducting systematic synthesis of evidence.

Efficacy and Safety of Switching Patients Inadequately Controlled on Basal Insulin to Insulin Glargine 300 U/mL: The TRANSITION 2 Study

INTRODUCTION

This study aimed to determine, in close to real-life conditions, the efficacy and safety of switching from any basal insulin to insulin glargine 300 U/mL (Gla-300) in patients with uncontrolled type 2 diabetes (T2D).

METHODS

This was an interventional, multicenter, single-arm, prospective study with a 24-week treatment phase. Adult patients with T2D treated with basal insulin with or without other antidiabetics, HbA1c > 7.5%, and fasting self-monitored blood glucose (F-SMBG) > 130 mg/dL (mean of three measures) at baseline were included. Insulin dose was titrated to reach F-SMBG 90-130 mg/dL. Efficacy and safety were assessed at 12 weeks (W12) and 24 weeks (W24). The main outcome parameter was HbA1c change between baseline and W24. Safety parameters included self-reported hypoglycemia (any type). Patients' satisfaction with the treatment was assessed by the Diabetes Treatment Satisfaction Questionnaire (DTSQ).

RESULTS

A total of 140 patients were included and 137 were treated. Mean HbA1c decreased from 8.64% at baseline to 8.14% at W12 (mean difference [95% CI] - 0.51% [- 0.64; - 0.38]) and 8.01% at W24 (- 0.64% [- 0.81; - 0.46]). Target F-SMBG was reached in 35.0% of the patients at W12 and 38.4% at W24. The percentages of patients reaching HbA1c levels < 7.0%, < 7.5%, and < 8.0% at W24 were 11.4%, 29.5%, and 50.8%, respectively, while only 31.6% had an HbA1c value < 8.0% at baseline. HbA1c reduction was greater in patients with higher baseline levels. During the treatment phase, 46.0% of the participants had at least one hypoglycemia event; 31.4% documented symptomatic hypoglycemia, 2.2% severe hypoglycemia, and 12.2% nocturnal hypoglycemia. Treatment satisfaction increased by 20% between baseline and W24.

CONCLUSION

These data, derived from close to real-life practice in France, confirm the reassuring results of randomized trials on the efficacy and safety of Gla-300.

TRIAL REGISTRATION

EudraCT number 2015-002416-33.

A dashboard-based system for supporting diabetes care

Objective

To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice.

Methods

The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers.

Results

The use of the decision support component in clinical activities produced a reduction in visit duration (P ≪ .01) and an increase in the number of screening exams for complications (P < .01). We also observed a relevant, although nonstatistically significant, increase in the proportion of patients receiving lifestyle interventions (from 69% to 77%). Regarding the outcome assessment component, focus groups highlighted the system's capability of identifying and understanding the characteristics of patient subgroups treated at the center.

Conclusion

Our study demonstrates that decision support tools based on the integration of multiple-source data and visual and predictive analytics do improve the management of a chronic disease such as type 2 diabetes by enacting a successful implementation of the learning health care system cycle.

Individualised treatment targets in patients with type-2 diabetes and hypertension

Aim

Patients with type-2 diabetes mellitus (T2DM) are at high risk of cardiovascular events, accentuated in the presence of hypertension. At present, it is unclear to what extent the guidelines for the management of T2DM, advocating reduction in HbA1c levels to below target levels, are being adhered to in clinical practice.

Methods

DIALOGUE was a prospective, observational, non‐interventional registry performed across multiple centres in Germany. Patients aged 18 years or older who had T2DM and hypertension for whom the treating physician considered blood glucose lowering medication as inadequate and/or not safe/tolerable and chose to add a further oral drug or switch drug treatment were included. Patients were assigned a treatment target HbA1c value (≤ 6.5% [strict]; > 6.5 to ≤ 7.0% [intermediate]; > 7.0 to ≤ 7.5% [lenient]).

Results

8568 patients with T2DM and hypertension were enrolled. 6691 (78.1%) had 12-month follow-up. Patients who were assigned a strict HbA1c treatment target (n = 2644) were younger, had shorter diabetes duration, and less comorbidity in comparison to those with intermediate (n = 2912) or lenient targets (n = 1135). Only 53.1% of patients achieved their HbA1c treatment target (46.2% [strict], 56.8% [intermediate], 59.4% [lenient]). There was little sign of treatment intensification for patients that had not achieved their HbA1c target.

Conclusions

Achievement of treatment targets was poor, leaving many patients with sub-optimal blood glucose levels. The apparent reluctance of physicians to intensify antidiabetic drug therapy is alarming, especially considering the evidence pointing to an association of hyperglycaemia and microvascular complications in patients with T2DM.

Electronic supplementary material

The online version of this article (10.1186/s12933-018-0661-8) contains supplementary material, which is available to authorized users.

Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis

Introduction

Although a number of researchers have considered the positive potential of Clinical Decision Support System (CDSS), they did not consider that patients' attitude which leads to active treatment strategies or HbA1c targets.

Materials and Methods

We adopted the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) published to propose an HbA1c target and antidiabetic medication recommendation system for patients. Based on the antidiabetic medication profiles, which were presented by the American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE), we use TOPSIS to calculate the ranking of antidiabetic medications.

Results

The endocrinologist set up ten virtual patients' medical data to evaluate a decision support system. The system indicates that the CDSS performs well and is useful to 87%, and the recommendation system is suitable for outpatients. The evaluation results of the antidiabetic medications show that the system has 85% satisfaction degree which can assist clinicians to manage T2DM while selecting antidiabetic medications.

Conclusions

In addition to aiding doctors' clinical diagnosis, the system not only can serve as a guide for specialty physicians but also can help nonspecialty doctors and young doctors with their drug prescriptions.

Combination SGLT2 inhibitor and GLP-1 receptor agonist therapy: a complementary approach to the treatment of type 2 diabetes

Among persons with type 2 diabetes (t2d), the development of glucose intolerance involves dysfunction in several organs and tissues, including the muscle, liver, pancreas, kidney, gastrointestinal tract, adipose tissue, and brain. individuals with t2d typically have a number of comorbidities, including hypertension, hyperlipidemia, and being overweight or obese, and are, consequently, at high cardiovascular risk. guidelines recommend a comprehensive care strategy that includes treatment of diabetes-related complications and comorbidities beyond those related to hyperglycemia. use of glucose-lowering therapies with complementary activities that address multiple facets of the disease may improve long-term outcomes for patients with t2d. two recent drug classes developed for use in t2d, glucagon-like peptide-1 receptor agonists (glp-1ras) and sodium glucose cotransporter 2 (sglt2) inhibitors, have been shown in clinical trials to have beneficial effects on glycemic control, body weight, cardiovascular risk factors, and (for liraglutide, semaglutide, and empagliflozin) cardiovascular outcomes, while having an acceptable safety profile. between them, these drug classes directly or indirectly affect many of the organs and tissues involved in the pathogenesis of t2d, and their beneficial effects on glycemic- and cardiovascular-related parameters are likely to be complementary and potentially additive. in the largest clinical trial of a glp-1ra and an sglt2 inhibitor in combination (duration-8), patients with t2d (n = 685) who received exenatide plus dapagliflozin added to their treatment regimen for 28 weeks had significantly greater reductions from baseline in glycated hemoglobin, body weight, and systolic blood pressure compared with patients who received either drug as monotherapy. this review summarizes the complementary aspects of these drug classes and presents the available data among patients receiving dual therapy with a glp-1ra and an sglt2 inhibitor.

Progressing From Metformin to Sulfonylureas or Meglitinides

The article provides an overview of sulfonylureas and meglitinides as second-line agents for treating type 2 diabetes mellitus (T2DM). Implications for occupational health clinicians who work with these individuals when they take either of these medications to achieve target glycemic indices are emphasized.

Development of a clinical decision support system for diabetes care: A pilot study

Management of complex chronic diseases such as diabetes requires the assimilation and interpretation of multiple laboratory test results. Traditional electronic health records tend to display laboratory results in a piecemeal and segregated fashion. This makes the assembly and interpretation of results related to diabetes care challenging. We developed a diabetes-specific clinical decision support system (Diabetes Dashboard) interface for displaying glycemic, lipid and renal function results, in an integrated form with decision support capabilities, based on local clinical practice guidelines. The clinical decision support system included a dashboard feature that graphically summarized all relevant laboratory results and displayed them in a color-coded system that allowed quick interpretation of the metabolic control of the patients. An alert module informs the user of tests that are due for repeat testing. An interactive graph module was also developed for better visual appreciation of the trends of the laboratory results of the patient. In a pilot study involving case scenarios administered via an electronic questionnaire, the Diabetes Dashboard, compared to the existing laboratory reporting interface, significantly improved the identification of abnormal laboratory results, of the long-term trend of the laboratory tests and of tests due for repeat testing. However, the Diabetes Dashboard did not significantly improve the identification of patients requiring treatment adjustment or the amount of time spent on each case scenario. In conclusion, we have developed and shown that the use of the Diabetes Dashboard, which incorporates several decision support features, can improve the management of diabetes. It is anticipated that this dashboard will be most helpful when deployed in an outpatient setting, where physicians can quickly make clinical decisions based on summarized information and be alerted to pertinent areas of care that require additional attention.