CDC Diabetes Cost-effectiveness Group. Cost-effectiveness of intensive glycemic control, intensified hypertension control, and serum cholesterol level reduction for type 2 diabetes

Picking the low-hanging fruit: the cost-effectiveness of opportunistic diabetes screening during tuberculosis contact investigations on the Texas-Mexico border

Objective

There is a known association between type 2 diabetes (diabetes) and tuberculosis (TB), and TB clinics have become hubs for new diabetes diagnosis among active patients with TB. However, despite the potential to identify diabetes patients, resources limit diabetes screening opportunities to close TB contacts. We assessed the cost-effectiveness of adding opportunistic screening for diabetes during the routine TB contact investigations conducted at TB clinics.

Research design and methods

We used a Markov-based model to simulate the costs of diabetes screening, management and health outcomes, including the incidence of complications and death. All costs were considered from a health system perspective. One-way sensitivity analyses were conducted to assess the robustness of the results to various assumptions. Interventions that fall below US$50 000 per quality-adjusted life years (QALYs) are commonly considered very cost-effective, while those between $50 000 and $100 000 are considered moderately cost-effective.

Results

Simulation of diabetes screening among TB contacts resulted in not only increased survival and reduced complications but also increased costs of diabetes management. The resulting incremental cost-effectiveness ratio was $32 642 per QALY added, which is well within commonly used willingness-to-pay thresholds for cost-effectiveness. Compared with no screening, screening increased the costs by $8633 and resulted in an increase in QALYs by 0.26 per patient.

Conclusions

In the base case analysis, screening was very cost-effective given that none of the sensitivity analyses resulted in a cost-effectiveness ratio above $50 000 per QALY. Our results indicate that the expansion of diabetes screening in TB clinics is a cost-effective strategy to improve health outcomes.

A New Type 2 Diabetes Microsimulation Model to Estimate Long-Term Health Outcomes, Costs, and Cost-Effectiveness

OBJECTIVES

This study aimed to develop a microsimulation model to estimate the health effects, costs, and cost-effectiveness of public health and clinical interventions for preventing/managing type 2 diabetes.

METHODS

We combined newly developed equations for complications, mortality, risk factor progression, patient utility, and cost-all based on US studies-in a microsimulation model. We performed internal and external validation of the model. To demonstrate the model's utility, we predicted remaining life-years, quality-adjusted life-years (QALYs), and lifetime medical cost for a representative cohort of 10 000 US adults with type 2 diabetes. We then estimated the cost-effectiveness of reducing hemoglobin A1c from 9% to 7% among adults with type 2 diabetes, using low-cost, generic, oral medications.

RESULTS

The model performed well in internal validation; the average absolute difference between simulated and observed incidence for 17 complications was < 8%. In external validation, the model was better at predicting outcomes in clinical trials than in observational studies. The cohort of US adults with type 2 diabetes was projected to have an average of 19.95 remaining life-years (from mean age 61), incur $187 729 in discounted medical costs, and accrue 8.79 discounted QALYs. The intervention to reduce hemoglobin A1c increased medical costs by $1256 and QALYs by 0.39, yielding an incremental cost-effectiveness ratio of $9103 per QALY.

CONCLUSIONS

Using equations exclusively derived from US studies, this new microsimulation model achieves good prediction accuracy in US populations. The model can be used to estimate the long-term health impact, costs, and cost-effectiveness of interventions for type 2 diabetes in the United States.

Cost-effectiveness analysis of lifestyle interventions for preventing kidney disease in patients with type 2 diabetes

BACKGROUND

Lifestyle interventions in patients with type-2 diabetes contribute to reducing the incidence of chronic kidney disease. The cost-effectiveness of lifestyle interventions to prevent kidney disease in patients with type-2 diabetes remains undetermined. We aimed to develop a Markov model from a Japanese healthcare payer's perspective focusing on the development of kidney disease in patients with type-2 diabetes and examine the cost-effectiveness of lifestyle interventions.

METHODS

To develop the model, the parameters, including lifestyle intervention effect, were derived from results of the Look AHEAD trial and previously published literature. Incremental cost-effectiveness ratios (ICER) were calculated from the difference in cost and quality-adjusted life years (QALY) between lifestyle intervention and diabetes support education groups. We estimated lifetime costs and effectiveness assuming patient's life span to be 100 years. Costs and effectiveness were discounted by 2% annually.

RESULTS

ICER for lifestyle intervention compared to diabetes support education was JPY 1,510,838 (USD 13,031) per QALY. Cost-effectiveness acceptability curve showed that the probability that lifestyle intervention is cost-effective at the threshold of JPY 5,000,000 (USD 43,084) per QALY gained, compared to diabetes support education, is 93.6%.

CONCLUSIONS

Using a newly-developed Markov model, we illustrated that lifestyle interventions for preventing kidney disease in patients with diabetes would be more cost-effective from a Japanese healthcare payer's perspective compared to diabetes support education. The model parameters in the Markov model must be updated to adapt to the Japanese setting.

Cost-effectiveness analysis of once-daily insulin glargine 300 U/mL versus insulin degludec 100 U/mL using the BRAVO diabetes model

AIMS

A cost-effectiveness analysis was conducted to compare insulin glargine 300 U/mL (Gla-300) versus insulin degludec 100 U/mL (IDeg-100) in insulin-naïve adults with type 2 diabetes (T2D) sub-optimally controlled with oral anti-diabetic drugs (OADs).

METHODS

The BRAVO diabetes model was used to assess costs and outcomes for once-daily Gla-300 versus once-daily IDeg-100 from a US healthcare sector perspective. Baseline clinical data were based on BRIGHT, a 24-week, non-inferiority, randomised control trial comparing Gla-300 and IDeg-100 in adults with T2D sub-optimally controlled with OADs (with or without glucagon-like peptide-1 receptor agonists). Treatment costs were based on doses observed in BRIGHT as well as net prices. Costs associated with complications were based on published literature. Lifetime costs (US$) and quality-adjusted life-years (QALYs) were predicted and used to calculate incremental cost-effectiveness ratio estimates; extensive scenario and sensitivity analyses were conducted.

RESULTS

Overall lifetime medical costs were estimated to be $327,904 and $330,154 for people receiving Gla-300 and IDeg-100, respectively; insulin costs were $43,477 and $44,367, respectively. People receiving Gla-300 gained 8.024 QALYs and 18.55 life-years, while people receiving IDeg-100 gained 7.997 QALYs and 18.52 life-years. Because Gla-300 was associated with a cost-saving of $2250 and 0.027 additional QALYs, it was considered to be dominant compared with IDeg-100. Results of the scenario and sensitivity analyses confirmed the robustness of the base case results.

CONCLUSION

Gla-300 was the dominant treatment option compared with IDeg-100 based on the willingness-to-pay threshold of $50,000/QALY. Results remained robust against a wide range of alternative assumptions on key parameters.

Prediction of complications in health economic models of type 2 diabetes: a review of methods used

AIM

Diabetes health economic (HE) models play important roles in decision making. For most HE models of diabetes 2 diabetes (T2D), the core model concerns the prediction of complications. However, reviews of HE models pay little attention to the incorporation of prediction models. The objective of the current review is to investigate how prediction models have been incorporated into HE models of T2D and to identify challenges and possible solutions.

METHODS

PubMed, Web of Science, Embase, and Cochrane were searched from January 1, 1997, to November 15, 2022, to identify published HE models for T2D. All models that participated in The Mount Hood Diabetes Simulation Modeling Database or previous challenges were manually searched. Data extraction was performed by two independent authors. Characteristics of HE models, their underlying prediction models, and methods of incorporating prediction models were investigated.

RESULTS

The scoping review identified 34 HE models, including a continuous-time object-oriented model (n = 1), discrete-time state transition models (n = 18), and discrete-time discrete event simulation models (n = 15). Published prediction models were often applied to simulate complication risks, such as the UKPDS (n = 20), Framingham (n = 7), BRAVO (n = 2), NDR (n = 2), and RECODe (n = 2). Four methods were identified to combine interdependent prediction models for different complications, including random order evaluation (n = 12), simultaneous evaluation (n = 4), the 'sunflower method' (n = 3), and pre-defined order (n = 1). The remaining studies did not consider interdependency or reported unclearly.

CONCLUSIONS

The methodology of integrating prediction models in HE models requires further attention, especially regarding how prediction models are selected, adjusted, and ordered.

Rationale and design of the linking education, produce provision, and community referrals to improve diabetes care (LINK) study

BACKGROUND

Individuals with type 2 diabetes (T2D) experiencing food insecurity may have other non-medical, health-related social needs (e.g., transportation, housing instability) that decrease their ability to attain T2D control and impact other health outcomes.

METHODS

A pragmatic randomized controlled trial (pRCT) to test the effect of produce provision, diabetes and culinary skills training and education, and social needs screening, navigation, and resolution, on hemoglobin A1c (A1c) levels in individuals with T2D (A1c ≥7.5%) experiencing food insecurity; a cost-effectiveness evaluation of the interventions that comprise the pRCT; and a process evaluation to understand the contextual factors that impact the uptake, effectiveness, and sustainability of the interventions.

SETTING

Ambulatory care clinics (e.g., family medicine, general internal medicine, endocrinology) affiliated with an academic medical center in an urban environment in the Midwest.

DESIGN

2 × 2 factorial design.

INTERVENTIONS

Cooking Matters for Diabetes is a 6-week diabetes and culinary education intervention. The Health Impact Ohio Central Ohio Pathways Hub intervention is a community health worker model designed to evaluate and address participants' social needs. All participants will receive referral to the Mid-Ohio Farmacy to provide weekly access to fresh produce.

OUTCOMES

Primary outcome of the pRCT is change in A1c at 3 months; secondary outcomes include A1c at 6 months, and diabetes self-efficacy, food insecurity, and diet quality at 3 and 6 months.

DISCUSSION

Food insecurity, unmet social needs, diabetes education and self-efficacy are critical issues that must be addressed to improve T2D treatment, care, and health equity.

CLINICALTRIALS

gov: NCT05472441.

The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Prevent Diabetes in People With Prediabetes

Individuals with an elevated fasting glucose level, elevated glucose level after glucose challenge, or elevated hemoglobin A1c level below the diagnostic threshold for diabetes (collectively termed prediabetes) are at increased risk for type 2 diabetes. More than one-third of U.S. adults have prediabetes but fewer than one in five are aware of the diagnosis. Rigorous scientific research has demonstrated the efficacy of both intensive lifestyle interventions and metformin in delaying or preventing progression from prediabetes to type 2 diabetes. The National Clinical Care Commission (NCCC) was a federal advisory committee charged with evaluating and making recommendations to improve federal programs related to the prevention of diabetes and its complications. In this article, we describe the recommendations of an NCCC subcommittee that focused primarily on prevention of type 2 diabetes in people with prediabetes. These recommendations aim to improve current federal diabetes prevention activities by 1) increasing awareness of and diagnosis of prediabetes on a population basis; 2) increasing the availability of, referral to, and insurance coverage for the National Diabetes Prevention Program and the Medicare Diabetes Prevention Program; 3) facilitating Food and Drug Administration review and approval of metformin for diabetes prevention; and 4) supporting research to enhance the effectiveness of diabetes prevention. Cognizant of the burden of type 1 diabetes, the recommendations also highlight the importance of research to advance our understanding of the etiology of and opportunities for prevention of type 1 diabetes.

The transferability and validity of a population-level simulation model for the economic evaluation of interventions in diabetes: the MICADO model

AIMS

Valid health economic models are essential to inform the adoption and reimbursement of therapies for diabetes mellitus. Often existing health economic models are applied in other countries and settings than those where they were developed. This practice requires assessing the transferability of a model developed from one setting to another. We evaluate the transferability of the MICADO model, developed for the Dutch 2007 setting, in two different settings using a range of adjustment steps. MICADO predicts micro- and macrovascular events at the population level.

METHODS

MICADO simulation results were compared to observed events in an Italian 2000-2015 cohort (Casale Monferrato Survey [CMS]) and in a Dutch 2008-2019 (Hoorn Diabetes Care Center [DCS]) cohort after adjusting the demographic characteristics. Additional adjustments were performed to: (1) risk factors prevalence at baseline, (2) prevalence of complications, and (3) all-cause mortality risks by age and sex. Model validity was assessed by mean average percentage error (MAPE) of cumulative incidences over 10 years of follow-up, where lower values mean better accuracy.

RESULTS

For mortality, MAPE was lower for CMS compared to DCS (0.38 vs. 0.70 following demographic adjustment) and adjustment step 3 improved it to 0.20 in CMS, whereas step 2 showed best results in DCS (0.65). MAPE for heart failure and stroke in DCS were 0.11 and 0.22, respectively, while for CMS was 0.42 and 0.41.

CONCLUSIONS

The transferability of the MICADO model varied by event and per cohort. Additional adjustments improved prediction of events for MICADO. To ensure a valid model in a new setting it is imperative to assess the impact of adjustments in terms of model accuracy, even when this involves the same country, but a new time period.

The Association Between Sustained HbA1c Control and Long-Term Complications Among Individuals with Type 2 Diabetes: A Retrospective Study

INTRODUCTION

The prevalence of type 2 diabetes (T2D) represents a rising burden in the US and worldwide, with the condition shown to be associated with relatively large human and economic costs. Part of the reason for such high costs associated with T2D is that the condition is often accompanied by additional health-related complications. The goal of this research is to examine the association between glycemic control and diabetes-related complications for individuals with T2D.

METHODS

The Optum Clinformatics® Data Mart (CDM) database from 2007 to 2020 was used to identify adults with T2D. Individuals were classified as having sustained glycemic control (all hemoglobin A1c [HbA1c] < 7%) or poor glycemic control (all HbA1c ≥ 7%) over the 5-year post-period, and diabetes-related complications were identified based upon the Diabetes Complications Severity Index. Multivariable analyses examined the association between sustained glycemic control and diagnosis of a diabetes-related complication in the post-period.

RESULTS

Maintaining HbA1c < 7% over the 5-year post-period, compared to maintaining HbA1c ≥ 7%, was associated with reduced odds of the diabetes-related complications of cardiovascular disease (odds ratio [OR] = 0.76, 95% confidence interval [CI] 0.61-0.94), metabolic disease (OR = 0.37, 95% CI 0.22-0.600), neuropathy (OR = 0.62, 95% CI 0.45-0.84), nephropathy (OR = 0.81, 95% CI 0.69-0.94), and peripheral vascular disease (OR = 0.52, 95% CI 0.33-0.83). There was no statistically significant association between sustained glycemic control and cerebrovascular disease.

CONCLUSIONS

Sustained glycemic control was found to be associated with significant reductions in the odds of being diagnosed with diabetes-related complications over a 5-year post-period.

Modeling Chronic Kidney Disease in Type 2 Diabetes Mellitus: A Systematic Literature Review of Models, Data Sources, and Derivation Cohorts

INTRODUCTION

As novel therapies for chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) become available, their long-term benefits should be evaluated using CKD progression models. Existing models offer different modeling approaches that could be reused, but it may be challenging for modelers to assess commonalities and differences between the many available models. Additionally, the data and underlying population characteristics informing model parameters may not always be evident. Therefore, this study reviewed and summarized existing modeling approaches and data sources for CKD in T2DM, as a reference for future model development.

METHODS

This systematic literature review included computer simulation models of CKD in T2DM populations. Searches were implemented in PubMed (including MEDLINE), Embase, and the Cochrane Library, up to October 2021. Models were classified as cohort state-transition models (cSTM) or individual patient simulation (IPS) models. Information was extracted on modeled kidney disease states, risk equations for CKD, data sources, and baseline characteristics of derivation cohorts in primary data sources.

RESULTS

The review identified 49 models (21 IPS, 28 cSTM). A five-state structure was standard among state-transition models, comprising one kidney disease-free state, three kidney disease states [frequently including albuminuria and end-stage kidney disease (ESKD)], and one death state. Five models captured CKD regression and three included cardiovascular disease (CVD). Risk equations most commonly predicted albuminuria and ESKD incidence, while the most predicted CKD sequelae were mortality and CVD. Most data sources were well-established registries, cohort studies, and clinical trials often initiated decades ago in predominantly White populations in high-income countries. Some recent models were developed from country-specific data, particularly for Asian countries, or from clinical outcomes trials.

CONCLUSION

Modeling CKD in T2DM is an active research area, with a trend towards IPS models developed from non-Western data and single data sources, primarily recent outcomes trials of novel renoprotective treatments.

A review of simulation models for the long-term management of type 2 diabetes in low-and-middle income countries

INTRODUCTION

The burden of type 2 diabetes is steadily increasing in low-and-middle-income countries, thereby posing a major threat from both a treatment, and funding standpoint. Although simulation modelling is generally relied upon for evaluating long-term costs and consequences associated with diabetes interventions, no recent article has reviewed the characteristics and capabilities of available models used in low-and-middle-income countries. We review the use of computer simulation modelling for the management of type 2 diabetes in low-and-middle-income countries.

METHODS

A search for studies reporting computer simulation models of the natural history of individuals with type 2 diabetes and/or decision models to evaluate the impact of treatment strategies on these populations was conducted in PubMed. Data were extracted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and assessed using modelling checklists. Publications before the year 2000, from high-income countries, studies involving animals and analyses that did not use mathematical simulations were excluded. The full text of eligible articles was sourced and information about the intervention and population being modelled, type of modelling approach and the model structure was extracted.

RESULTS

Of the 79 articles suitable for full text review, 44 studies met the inclusion criteria. All were cost-effectiveness/utility studies with the majority being from the East Asia and Pacific region (n = 29). Of the included studies, 34 (77.3%) evaluated the cost-effectiveness of pharmacological interventions and approximately 75% of all included studies used HbA1c as one of the treatment effects of the intervention. 32 (73%) of the publications were microsimulation models, and 29 (66%) were state-transition models. Most of the studies utilised annual cycles (n = 29, 71%), and accounted for costs and outcomes over 20 years or more (n = 38, 86.4%).

CONCLUSIONS

While the use of simulation modelling in the management of type 2 diabetes has been steadily increasing in low-and-middle-income countries, there is an urgent need to invest in evaluating therapeutic and policy interventions related to type 2 diabetes in low-and-middle-income countries through simulation modelling, especially with local research data. Moreover, it is important to improve transparency and credibility in the reporting of input data underlying model-based economic analyses, and studies.

HOME DM-BAT: home-based diabetes-modified behavioral activation treatment for low-income seniors with type 2 diabetes-study protocol for a randomized controlled trial

BACKGROUND

About 13% of African Americans and 13% of Hispanics have diabetes, compared to 8% of non-Hispanic Whites (NHWs). This is more pronounced in the elderly where about 25-30% of those aged 65 and older have diabetes. Studies have found associations between social determinants of health (SDoH) and increased incidence, prevalence, and burden of diabetes; however, few interventions have accounted for the context in which the elderly live by addressing SDoH. Specifically, psychosocial factors (such as cognitive dysfunction, functional impairment, and social isolation) impacting this population may be under-addressed due to numerous medical concerns addressed during the clinical visit. The long-term goal of the project is to identify strategies to improve glycemic control and reduce diabetes complications and mortality in African Americans and Hispanics/Latinos with type 2 diabetes.

METHODS

This is a 5-year prospective, randomized clinical trial, which will test the effectiveness of a home-based diabetes-modified behavioral activation treatment for low-income, minority seniors with type 2 diabetes mellitus (T2DM) (HOME DM-BAT). Two hundred, aged 65 and older and with an HbA1c ≥8%, will be randomized into one of two groups: (1) an intervention using in-home, nurse telephone-delivered diabetes education, and behavioral activation or (2) a usual care group using in-home, nurse telephone-delivered, health education/supportive therapy. Participants will be followed for 12 months to ascertain the effect of the intervention on glycemic control, blood pressure, and low-density lipoprotein (LDL) cholesterol. The primary hypothesis is low-income, minority seniors with poorly controlled type 2 diabetes randomized to HOME DM-BAT will have significantly greater improvements in clinical outcomes at 12 months of follow-up compared to usual care.

DISCUSSION

Results from this study will provide important insight into the effectiveness of a home-based diabetes-modified behavioral activation treatment for low-income, minority seniors with uncontrolled type 2 diabetes mellitus and inform strategies to improve glycemic control and reduce diabetes complications in minority elderly with T2DM.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04203147 ). Registered on December 18, 2019, with the National Institutes of Health Clinical Trials Registry.

Decision models in type 2 diabetes mellitus: A systematic review

AIMS

To reduce the burden of type 2 diabetes (T2DM), the disease decision model plays a vital role in supporting decision-making. Currently, there is no comprehensive summary and assessment of the existing decision models for T2DM. The objective of this review is to provide an overview of the characteristics and capabilities of published decision models for T2DM. We also discuss which models are suitable for different study demands.

MATERIALS AND METHODS

Four databases (PubMed, Web of Science, Embase, and the Cochrane Library) were electronically searched for papers published from inception to August 2020. Search terms were: "Diabetes-Mellitus, Type 2", "cost-utility", "quality-of-life", and "decision model". Reference lists of the included studies were manually searched. Two reviewers independently screened the titles and abstracts following the inclusion and exclusion criteria. If there was insufficient information to include or exclude a study, then a full-text version was sought. The extracted information included basic information, study details, population characteristics, basic modeling methodologies, model structure, and data inputs for the included applications, model outcomes, model validation, and uncertainty.

RESULTS

Fourteen unique decision models for T2DM were identified. Markov chains and risk equations were utilized by four and three models, respectively. Three models utilized both. Except for the Archimedes model, all other models (n = 13) implemented an annual cycle length. The time horizon of most models was flexible. Fourteen models had differences in the division of health states. Ten models emphasized macrovascular and microvascular complications. Six models included adverse events. Majority of the models (n = 11) were patient-level simulation models. Eleven models simulated annual changes in risk factors (body mass index, glycemia, HbA1c, blood pressure (systolic and/or diastolic), and lipids (total cholesterol and/or high-density lipoprotein)). All models reported the main data sources used to develop health states of complications. Most models (n = 11) could deal with the uncertainty of models, which were described in varying levels of detail in the primary studies. Eleven studies reported that one or more validation checks were performed.

CONCLUSIONS

The existing decision models for T2DM are heterogeneous in terms of the level of detail in the classification of health states. Thus, more attention should be focused on balancing the desired level of complexity against the required level of transparency in the development of T2DM decision models.

Prevalence of hypertension and diabetes in the population of Kosovo

Objectives

To observe the prevalence of arterial pressure and glycemia in Kosovo and to provide free screening service through health promotion.

Methods

This prospective study was conducted over a 3-year period, during 2017–2019. All data were collected by AAB College staff in 11 Kosovo cities prior to a random sample with 7254 observations. Data included demographic information as well as blood pressure and glycemic level measurements.

Results

The overall prevalence of arterial pressure was registered at 27.6% and diabetes mellitus at 9.2%. Arterial pressure in females had a tendency to increase with age (r = 0.3552, P < 0.001), as well as the glycemic index (r = 0.1997, P < 0.001). Nevertheless, age had a stronger impact on males than in females, with regard to higher arterial pressure in the year 2017 (P < 0.001). In the following years, 2018 and 2019, the ratio had reversed. Glycemia had strong correlation with systolic arterial pressure value (P < 0.001). For a 1 mmol/L increase in glycemia, the diastolic value increased by 0.19 mmHg on average.

Conclusions

This study concluded that at younger ages the values of arterial pressure and glycemia remain within the commonly observed range, but over the years the probability for higher blood pressure or glicemia increases. Through continuous control of arterial pressure and glycemia at an early age, it is possible to identify abnormal diagnostics, in order to address them in time. Educational initiatives and screenings should take place in order to increase awareness of the citizens for checking themselves regularly.

Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases

(1) Background: A disease prediction model derived from real-world data is an important tool for managing type 2 diabetes mellitus (T2D). However, an appropriate prediction model for the Asian T2D population has not yet been developed. Hence, this study described construction details of the T2D Holistic Care model via estimating the probability of diabetes-related complications and the time-to-occurrence from a population-based database. (2) Methods: The model was based on the database of a Taiwan pay-for-performance reimbursement scheme for T2D between November 2002 and July 2017. A nonhomogeneous Markov model was applied to simulate multistate (7 main complications and death) transition probability after considering the sequential and repeated difficulties. (3) Results: The Markov model was constructed based on clinical care information from 163,452 patients with T2D, with a mean follow-up time of 5.5 years. After simulating a cohort of 100,000 hypothetical patients over a 10-year time horizon based on selected patient characteristics at baseline, a good predicted complication and mortality rates with a small range of absolute error (0.3–3.2%) were validated in the original cohort. Better and optimal predictabilities were further confirmed compared to the UKPDS Outcomes model and applied the model to other Asian populations, respectively. (4) Contribution: The study provides well-elucidated evidence to apply real-world data to the estimation of the occurrence and time point of major diabetes-related complications over a patient’s lifetime. Further applications in health decision science are encouraged.

Needs assessment for the creation of a community of practice in a community health navigator cohort

BACKGROUND

Community Health Navigators (CHNs) are members of a patient's care team that aim to reduce barriers in accessing healthcare. CHNs have been described in various healthcare settings, including chronic disease management. The ENhancing COMmunity health through Patient navigation, Advocacy, and Social Support (ENCOMPASS) program of research employs CHNs, who are trained to improve access to care and community resources for patients with multiple chronic diseases. With complex and demanding roles, it is essential that CHNs communicate with each other to maintain knowledge exchange and best practices. A Community of Practice (CoP) is a model of situated learning that promotes communication, dedication, and collaboration that can facilitate this communication. The objective of this study was to engage with CHNs to determine how a CoP could be implemented to promote consistency in practices and knowledge for CHNs across primary care sites.

METHODS

A needs assessment for a CHN CoP was conducted using sequential steps of inquiry. A preliminary focused literature review (FLR) was done to examine the ways in which other healthcare CoPs have been implemented. Results from the FLR guided the creation of an exploratory survey and group interview with key informants to understand best approaches for CoP creation. Political, economic, social, and technological (PEST) and strengths, weaknesses, opportunities, and threats (SWOT) analyses synthesized results in a comprehensive manner for strategic recommendations.

RESULTS

The FLR identified different approaches and components of healthcare CoPs and guided analyses of mitigatable risk factors and leverageable assets for the intervention. The survey and group interview revealed an informal and effective CoP amongst current CHNs, with preferred methods including coffee meetings, group trainings, and seminars. A well-maintained web platform with features such as an encrypted discussion forum, community resource listing, calendar of events, and semi-annual CHN conferences were suggested methods for creating an inter-regional, formal CoP.

CONCLUSION

The study findings recognise the presence of an informal CoP within the studied CHN cohort. Implementation of a formal CoP should complement current CoP approaches and aid in facilitating expansion to other primary care centres utilizing digital communication methods, such as a comprehensive web platform and online forum.

Patient Outcomes Associated With Utilization of Education, Case Management, and Advanced Practice Pharmacy Services by American Indian and Alaska Native Peoples With Diabetes

BACKGROUND

The burden of diabetes is exceptionally high among American Indian and Alaska Native (AI/AN) peoples. The Indian Health Service (IHS) and Tribal health programs provide education, case management, and advanced practice pharmacy (ECP) services for AI/ANs with diabetes to improve their health outcomes.

OBJECTIVE

The objective of this study was to evaluate patient outcomes associated with ECP use by AI/AN adults with diabetes.

RESEARCH DESIGN

This observational study included the analysis of IHS data for fiscal years (FY) 2011-2013. Using propensity score models, we assessed FY2013 patient outcomes associated with FY2012 ECP use, controlling for FY2011 baseline characteristics.

SUBJECTS

AI/AN adults with diabetes who used IHS and Tribal health services (n=28,578).

MEASURES

We compared health status and hospital utilization outcomes for ECP users and nonusers.

RESULTS

Among adults with diabetes, ECP users, compared with nonusers, had lower odds of high systolic blood pressure [odds ratio (OR)=0.85, P<0.001] and high low-density lipoprotein cholesterol (OR=0.89, P<0.01). Among adults with diabetes absent cardiovascular disease (CVD) at baseline, 3 or more ECP visits, compared with no visits, was associated with lower odds of CVD onset (OR=0.79, P<0.05). Among adults with diabetes and CVD, any ECP use was associated with lower odds of end-stage renal disease onset (OR=0.60, P<0.05). ECP users had lower odds of 1 or more hospitalizations (OR=0.80, P<0.001).

CONCLUSIONS

Findings on positive patient outcomes associated with ECP use by adults with diabetes may inform IHS and Tribal policies, funding, and enhancements to ECP services to reduce disparities between AI/ANs and other populations in diabetes-related morbidity and mortality.

Healthcare Costs Associated with Complications in Patients with Type 2 Diabetes among 1.85 Million Adults in Beijing, China

We aimed to provide reliable regression estimates of expenditures associated with various complications in type 2 diabetics in China. In total, 1,859,039 type 2 diabetes patients with complications were obtained from the Beijing Medical Claim Data for Employees database from 2008 to 2016. We estimated costs for complications using a generalized estimating equation model adjusted for age, sex, and the incidence of various complications. The average total cost for diabetic patients with complications was 17.12 thousand RMB. Prescribed drugs accounted for 63.4% of costs. We observed a significant increase in costs in the first year after the onset of complications. Compared with costs before the incidence of complications, the additional costs per person in the first year and >1 year after the event would be 10,631.16 RMB and 1150.71 RMB for cardiovascular disease, 1017.62 RMB and 653.82 RMB for cerebrovascular disease, and 301.14 RMB and 624.00 RMB for kidney disease, respectively. The estimated coefficients for outpatient visits were relatively lower than those of inpatient visits. Complications in diabetics exert a significant impact on total healthcare costs in the first year of their onset and in subsequent years. Our estimates may assist policymakers in quantifying the economic burden of diabetes complications.

Cost-Effectiveness of the New 2018 American College of Physicians Glycemic Control Guidance Statements Among US Adults With Type 2 Diabetes

OBJECTIVES

This study aims to estimate the national impact and cost-effectiveness of the 2018 American College of Physicians (ACP) guidance statements compared to the status quo.

METHODS

Survey data from the 2011-2016 National Health and Nutrition Examination were used to generate a national representative sample of individuals with diagnosed type 2 diabetes in the United States. Individuals with A1c <6.5% on antidiabetic medications are recommended to deintensify their A1c level to 7.0% to 8.0% (group 1); individuals with A1c 6.5% to 8.0% and a life expectancy of <10 years are recommended to deintensify their A1c level >8.0% (group 2); and individuals with A1c >8.0% and a life expectancy of >10 years are recommended to intensify their A1c level to 7.0% to 8.0% (group 3). We used a Markov-based simulation model to evaluate the lifetime cost-effectiveness of following the ACP recommended A1c level.

RESULTS

14.41 million (58.1%) persons with diagnosed type 2 diabetes would be affected by the new guidance statements. Treatment deintensification would lead to a saving of $363 600 per quality-adjusted life-year (QALY) lost for group 1 and a saving of $118 300 per QALY lost for group 2. Intensifying treatment for group 3 would lead to an additional cost of $44 600 per QALY gain. Nationally, the implementation of the guidance would add 3.2 million life-years and 1.1 million QALYs and reduce healthcare costs by $47.7 billion compared to the status quo.

CONCLUSIONS

Implementing the new ACP guidance statements would affect a large number of persons with type 2 diabetes nationally. The new guidance is cost-effective.

Training health professionals to provide physical activity counselling

There is strong evidence that physical activity (PA) counselling from a health professional (HPs) leads to increased PA of their patients. Despite this, there remains a large evidence-practice gap between HP knowledge of the contribution of physical inactivity to chronic disease prevention and management, and routine effective assessment and prescription of PA. This article will present evidence on the effectiveness of HP- PA counselling and suggested behaviour change frameworks that can be used by HP. Four case studies are provided as examples of programs integrated into current HP student and post-graduate training programs.

Lowering the impact of food insecurity in African American adults with type 2 diabetes mellitus (LIFT-DM) - Study protocol for a randomized controlled trial

BACKGROUND

There is strong evidence that disparities in the burden of diabetes exist by both race and poverty. Food insecurity, or an inability to or limitation in accessing nutritionally adequate food, is an important modifiable social determinant of health, particularly in adults with chronic disease. African Americans are more likely to be diagnosed with diabetes and more likely than whites to be food insecure.

METHODS

We describe a 4-year ongoing randomized controlled trial, which will test the separate and combined efficacy of monthly food vouchers and monthly food stock boxes layered upon diabetes education in improving glycemic control in low income, food insecure, African Americans with type 2 diabetes mellitus using a 2 × 2 factorial design. Three hundred African American adults with clinical diagnosis of diabetes and HbA1c ≥ 8% will be randomized into one of four groups: 1) diabetes education alone; 2) diabetes education plus food vouchers; 3) diabetes education plus stock boxes; and 4) diabetes education plus combined food vouchers and stock boxes. Our primary hypothesis is: among low-income, food insecure, African Americans with type 2 diabetes, those receiving diabetes education enhanced with food supplementation (food vouchers alone, stock boxes alone, or combination) will have significantly greater reduction in HbA1c at 12 months compared to those receiving diabetes education only.

DISCUSSION

Results from this study will yield valuable insight currently lacking on how best to design and deliver diabetes interventions to low-income, food insecure, African Americans with diabetes that takes into account both clinical and social determinants of health.

TRIAL REGISTRATION

This study was registered on November 29, 2019 with the United States National Institutes of Health Clinical Trials Registry (ClinicalTrials.gov identifier# NCT04181424).

Cost-effectiveness of Interventions to Manage Diabetes: Has the Evidence Changed Since 2008?

OBJECTIVE

To synthesize updated evidence on the cost-effectiveness (CE) of interventions to manage diabetes, its complications, and comorbidities.

RESEARCH DESIGN AND METHODS

We conducted a systematic literature review of studies from high-income countries evaluating the CE of diabetes management interventions recommended by the American Diabetes Association (ADA) and published in English between June 2008 and July 2017. We also incorporated studies from a previous CE review from the period 1985-2008. We classified the interventions based on their strength of evidence (strong, supportive, or uncertain) and levels of CE: cost-saving (more health benefit at a lower cost), very cost-effective (≤$25,000 per life year gained [LYG] or quality-adjusted life year [QALY]), cost-effective ($25,001-$50,000 per LYG or QALY), marginally cost-effective ($50,001-$100,000 per LYG or QALY), or not cost-effective (>$100,000 per LYG or QALY). Costs were measured in 2017 U.S. dollars.

RESULTS

Seventy-three new studies met our inclusion criteria. These were combined with 49 studies from the previous review to yield 122 studies over the period 1985-2017. A large majority of the ADA-recommended interventions remain cost-effective. Specifically, we found strong evidence that the following ADA-recommended interventions are cost-saving or very cost-effective: In the cost-saving category are 1) ACE inhibitor (ACEI)/angiotensin receptor blocker (ARB) therapy for intensive hypertension management compared with standard hypertension management, 2) ACEI/ARB therapy to prevent chronic kidney disease and/or end-stage renal disease in people with albuminuria compared with no ACEI/ARB therapy, 3) comprehensive foot care and patient education to prevent and treat foot ulcers among those at moderate/high risk of developing foot ulcers, 4) telemedicine for diabetic retinopathy screening compared with office screening, and 5) bariatric surgery compared with no surgery for individuals with type 2 diabetes (T2D) and obesity (BMI ≥30 kg/m²). In the very cost-effective category are 1) intensive glycemic management (targeting A1C <7%) compared with conventional glycemic management (targeting an A1C level of 8-10%) for individuals with newly diagnosed T2D, 2) multicomponent interventions (involving behavior change/education and pharmacological therapy targeting hyperglycemia, hypertension, dyslipidemia, microalbuminuria, nephropathy/retinopathy, secondary prevention of cardiovascular disease with aspirin) compared with usual care, 3) statin therapy compared with no statin therapy for individuals with T2D and history of cardiovascular disease, 4) diabetes self-management education and support compared with usual care, 5) T2D screening every 3 years starting at age 45 years compared with no screening, 6) integrated, patient-centered care compared with usual care, 7) smoking cessation compared with no smoking cessation, 8) daily aspirin use as primary prevention for cardiovascular complications compared with usual care, 9) self-monitoring of blood glucose three times per day compared with once per day among those using insulin, 10) intensive glycemic management compared with conventional insulin therapy for T2D among adults aged ≥50 years, and 11) collaborative care for depression compared with usual care.

CONCLUSIONS

Complementing professional treatment recommendations, our systematic review provides an updated understanding of the potential value of interventions to manage diabetes and its complications and can assist clinicians and payers in prioritizing interventions and health care resources.

Economic Simulation Modeling in Type 2 Diabetes

PURPOSE OF REVIEW

This paper provides an overview of type 2 diabetes economic simulation modeling and reviews current topics of discussion and major challenges in the field.

RECENT FINDINGS

Important challenges in the field include increasing the generalizability of models and improving transparency in model reporting. To identify and address these issues, modeling groups have organized through the Mount Hood Diabetes Challenge meetings and developed tools (i.e., checklist, impact inventory) to standardize modeling methods and reporting of results. Accordingly, many newer diabetes models have begun utilizing these tools, allowing for improved comparability between diabetes models. In the last two decades, type 2 diabetes simulation models have improved considerably, due to the collaborative work performed through the Mount Hood Diabetes Challenge meetings. To continue to improve diabetes models, future work must focus on clarifying diabetes progression in racial/ethnic minorities and incorporating equity considerations into health economic analysis.

Cardiovascular risk factor control in British adults with diabetes mellitus: Retrospective cohort study

Using primary care electronic medical records (the United Kingdom Health Improvement Network Database 2003-2015), we examined the control of cardiovascular risk factors in the first year after diagnosis in British adults with diabetes mellitus. Among 292 170 individuals with diabetes receiving frequent outpatient management (median of 16 primary care visits in the prior year), control of cardiovascular risk factors a median of 354 days after diagnosis was suboptimal: 14.7% had HbA1C < 7%, SBP < 140 mm Hg, LDL cholesterol ≤1.8 mmol/L or taking a statin, and were nonsmokers (the proportion dropped to 7.5% if the SBP target was defined as <130 mm Hg). While 90.4% had an LDL cholesterol ≤1.8 mmol/L or were taking a statin, and 86.0% were nonsmokers, only 52.0% had HbA1C < 7% and 53.1% had SBP < 140 mm Hg (29.8% had SBP < 130 mm Hg) despite 71.4% taking antihypertensive agents. Thus, there is still a need for quality improvement strategies that target all atherosclerotic risk factors in individuals with diabetes and not just glycaemic control.

Selecting the optimal risk threshold of diabetes risk scores to identify high-risk individuals for diabetes prevention: a cost-effectiveness analysis

AIMS

Although risk scores to predict type 2 diabetes exist, cost-effectiveness of risk thresholds to target prevention interventions are unknown. We applied cost-effectiveness analysis to identify optimal thresholds of predicted risk to target a low-cost community-based intervention in the USA.

METHODS

We used a validated Markov-based type 2 diabetes simulation model to evaluate the lifetime cost-effectiveness of alternative thresholds of diabetes risk. Population characteristics for the model were obtained from NHANES 2001-2004 and incidence rates and performance of two noninvasive diabetes risk scores (German diabetes risk score, GDRS, and ARIC 2009 score) were determined in the ARIC and Cardiovascular Health Study (CHS). Incremental cost-effectiveness ratios (ICERs) were calculated for increasing risk score thresholds. Two scenarios were assumed: 1-stage (risk score only) and 2-stage (risk score plus fasting plasma glucose (FPG) test (threshold 100 mg/dl) in the high-risk group).

RESULTS

In ARIC and CHS combined, the area under the receiver operating characteristic curve for the GDRS and the ARIC 2009 score were 0.691 (0.677-0.704) and 0.720 (0.707-0.732), respectively. The optimal threshold of predicted diabetes risk (ICER < $50,000/QALY gained in case of intervention in those above the threshold) was 7% for the GDRS and 9% for the ARIC 2009 score. In the 2-stage scenario, ICERs for all cutoffs ≥ 5% were below $50,000/QALY gained.

CONCLUSIONS

Intervening in those with ≥ 7% diabetes risk based on the GDRS or ≥ 9% on the ARIC 2009 score would be cost-effective. A risk score threshold ≥ 5% together with elevated FPG would also allow targeting interventions cost-effectively.

How valid are projections of the future prevalence of diabetes? Rapid reviews of prevalence-based and Markov chain models and comparisons of different models' projections for England

OBJECTIVES

To examine validity of prevalence-based models giving projections of prevalence of diabetes in adults, in England and the UK, and of Markov chain models giving estimates of economic impacts of interventions to prevent type 2 diabetes (T2D).

METHODS

Rapid reviews of both types of models. Estimation of the future prevalence of T2D in England by Markov chain models; and from the trend in the prevalence of diabetes, as reported in the Quality and Outcomes Framework (QOF), estimated by ordinary least squares regression analysis.

SETTING

Adult population in England and UK.

MAIN OUTCOME MEASURE

Prevalence of T2D in England and UK in 2025.

RESULTS

The prevalence-based models reviewed use sample estimates of past prevalence rates by age and sex and projected population changes. Three most recent models, including that of Public Health England (PHE), neither take account of increases in obesity, nor report Confidence Intervals (CIs). The Markov chain models reviewed use transition probabilities between states of risk and death, estimated from various sources. None of their accounts give the full matrix of transition probabilities, and only a minority report tests of validation. Their primary focus is on estimating the ratio of costs to benefits of preventive interventions in those with hyperglycaemia, only one reported estimates of those developing T2D in the absence of a preventive intervention in the general population.Projections of the prevalence of T2D in England in 2025 were (in millions) by PHE, 3.95; from the QOF trend, 4.91 and by two Markov chain models, based on our review, 5.64 and 9.07.

CONCLUSIONS

To inform national policies on preventing T2D, governments need validated models, designed to use available data, which estimate the scale of incidence of T2D and survival in the general population, with and without preventive interventions.

Cost-effectiveness of intensive interventions compared to standard care in individuals with type 2 diabetes: A systematic review and critical appraisal of decision-analytic models

AIMS

The objective of this systematic review is to identify and assess the quality of published decision-analytic models evaluating the long-term cost-effectiveness of target-driven intensive interventions for single and multifactorial risk factor control compared to standard care in people with type 2 diabetes.

METHODS

We searched the electronic databases MEDLINE, the National Health Service Economic Evaluation Database, Web of Science and the Cochrane Library from inception to October 31, 2019. Articles were eligible for inclusion if the studies had used a decision-analytic model evaluating both the long-term costs and benefits associated with intensive interventions for risk factor control compared to standard care in people with type 2 diabetes. Data were extracted using a standardised form, while quality was assessed using the decision-analytic model-specific Philips-criteria.

RESULTS

Overall, nine articles (11 models) were identified, four models evaluated intensive glycaemic control, three evaluated intensive blood pressure control, two evaluated intensive lipid control, and two evaluated intensive multifactorial interventions. Six reported using discrete-time simulations modelling approach, whereas five reported using a Markov modelling framework. The majority, seven studies, reported that the intensive interventions were dominant or cost-effective, given the assumptions and analytical perspective taken. The methodological and reporting quality of the studies was generally weak, with only four studies fulfilling more than 50% of their applicable Philips-criteria.

CONCLUSIONS

This is the first systematic review of decision-analytic models of target-driven intensive interventions for single and multifactorial risk factor control in individuals with type 2 diabetes. Identified shortcomings are lack of transparency in data identification and evidence synthesis as well as for the selection of the modelling approaches. Future models should aim to include greater evaluation of the quality of the data sources used and the assessment of uncertainty in the model.

Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design

BACKGROUND

Chronic kidney disease (CKD) is a progressive condition that leads to irreversible damage to the kidneys and is associated with an increased incidence of cardiovascular events and mortality. As novel interventions become available, estimates of economic and clinical outcomes are needed to guide payer reimbursement decisions.

OBJECTIVE

The aim of the present study was to systematically review published economic models that simulated long-term outcomes of kidney disease to inform cost-effectiveness evaluations of CKD treatments.

METHODS

The review was conducted across four databases (MEDLINE, Embase, the Cochrane library and EconLit) and health technology assessment agency websites. Relevant information on each model was extracted. Transition and mortality rates were also extracted to assess the choice of model parameterisation on disease progression by simulating patient's time with end-stage renal disease (ESRD) and time to ESRD/death. The incorporation of cardiovascular disease in a population with CKD was qualitatively assessed across identified models.

RESULTS

The search identified 101 models that met the criteria for inclusion. Models were classified into CKD models (n = 13), diabetes models with nephropathy (n = 48), ESRD-only models (n = 33) and cardiovascular models with CKD components (n = 7). Typically, published models utilised frameworks based on either (estimated or measured) glomerular filtration rate (GFR) or albuminuria, in line with clinical guideline recommendations for the diagnosis and monitoring of CKD. Generally, two core structures were identified, either a microsimulation model involving albuminuria or a Markov model utilising CKD stages and a linear GFR decline (although further variations on these model structures were also identified). Analysis of parameter variability in CKD disease progression suggested that mean time to ESRD/death was relatively consistent across model types (CKD models 28.2 years; diabetes models with nephropathy 24.6 years). When evaluating time with ESRD, CKD models predicted extended ESRD survival over diabetes models with nephropathy (mean time with ESRD 8.0 vs. 3.8 years).

DISCUSSION

This review provides an overview of how CKD is typically modelled. While common frameworks were identified, model structure varied, and no single model type was used for the modelling of patients with CKD. In addition, many of the current methods did not explicitly consider patient heterogeneity or underlying disease aetiology, except for diabetes. However, the variability of individual patients' GFR and albuminuria trajectories perhaps provides rationale for a model structure designed around the prediction of individual patients' GFR trajectories. Frameworks of future CKD models should be informed and justified based on clinical rationale and availability of data to ensure validity of model results. In addition, further clinical and observational research is warranted to provide a better understanding of prognostic factors and data sources to improve economic modelling accuracy in CKD.

The Impact of Biomarker Screening and Cascade Genetic Testing on the Cost-Effectiveness of MODY Genetic Testing

OBJECTIVE

In the U.S., genetic testing for maturity-onset diabetes of the young (MODY) is frequently delayed because of difficulty with insurance coverage. Understanding the economic implications of clinical genetic testing is imperative to advance precision medicine for diabetes. The objective of this article is to assess the cost-effectiveness of genetic testing, preceded by biomarker screening and followed by cascade genetic testing of first-degree relatives, for subtypes of MODY in U.S. pediatric patients with diabetes.

RESEARCH DESIGN AND METHODS

We used simulation models of distinct forms of diabetes to forecast the clinical and economic consequences of a systematic genetic testing strategy compared with usual care over a 30-year time horizon. In the genetic testing arm, patients with MODY received treatment changes (sulfonylureas for HNF1A- and HNF4A-MODY associated with a 1.0% reduction in HbA_1c; no treatment for GCK-MODY). Study outcomes included costs, life expectancy (LE), and quality-adjusted life years (QALY).

RESULTS

The strategy of biomarker screening and genetic testing was cost-saving as it increased average quality of life (+0.0052 QALY) and decreased costs (-$191) per simulated patient relative to the control arm. Adding cascade genetic testing increased quality-of-life benefits (+0.0081 QALY) and lowered costs further (-$735).

CONCLUSIONS

A combined strategy of biomarker screening and genetic testing for MODY in the U.S. pediatric diabetes population is cost-saving compared with usual care, and the addition of cascade genetic testing accentuates the strategy's benefits. Widespread implementation of this strategy could improve the lives of patients with MODY while saving the health system money, illustrating the potential population health benefits of personalized medicine.

Cost-Effectiveness and Challenges of Implementing Intensive Blood Pressure Goals and Team-Based Care

PURPOSE OF REVIEW

Review the effectiveness, cost-effectiveness, and implementation challenges of intensive blood pressure (BP) control and team-based care initiatives.

RECENT FINDINGS

Intensive BP control is an effective and cost-effective intervention; yet, implementation in routine clinical practice is challenging. Several models of team-based care for hypertension management have been shown to be more effective than usual care to control BP. Additional research is needed to determine the cost-effectiveness of team-based care models relative to one another and as they relate to implementing intensive BP goals. As a focus of healthcare shifts to value (i.e., cost, effectiveness, and patient preferences), formal cost-effectiveness analyses will inform which team-based initiatives hold the highest value in different healthcare settings with different populations and needs. Several challenges, including clinical inertia, financial investment, and billing restrictions for pharmacist-delivered services, will need to be addressed in order to improve public health through intensive BP control and team-based care.

Benefits and harms of intensive glycemic control in patients with type 2 diabetes

Diabetes is a major and costly health concern worldwide, with high morbidity, disability, mortality, and impaired quality of life. The vast majority of people living with diabetes have type 2 diabetes. Historically, the main strategy to reduce complications of type 2 diabetes has been intensive glycemic control. However, the body of evidence shows no meaningful benefit of intensive (compared with moderate) glycemic control for microvascular and macrovascular outcomes important to patients, with the exception of reduced rates of non-fatal myocardial infarction. Intensive glycemic control does, however, increase the risk of severe hypoglycemia and incurs additional burden by way of polypharmacy, side effects, and cost. Additionally, data from cardiovascular outcomes trials showed that cardiovascular, kidney, and mortality outcomes may be improved with use of specific classes of glucose lowering drugs largely independently of their glycemic effects. Therefore, delivering evidence based, patient centered care to people with type 2 diabetes requires a paradigm shift and departure from the predominantly glucocentric view of diabetes management. Instead of prioritizing intensive glycemic control, the focus needs to be on ensuring access to adequate diabetes care, aligning glycemic targets to patients' goals and situations, minimizing short term and long term complications, reducing the burden of treatment, and improving quality of life.

Influence of Diabetes Complications on HbA1c Treatment Goals Among Older U.S. Adults: A Cost-effectiveness Analysis

OBJECTIVE

Guidelines on the standard care of diabetes recommend that glycemic treatment goals for older adults consider the patient's complications and life expectancy. In this study, we examined the influence of diabetes complications and associated life expectancies on the cost-effectiveness (CE) of HbA_1c treatment goals.

RESEARCH DESIGN AND METHODS

We used data from the 2011-2016 National Health and Nutrition Examination Survey (NHANES) to generate nationally representative subgroups of older individuals with diabetes with various health states. We used the Centers for Disease Control and Prevention-RTI International diabetes CE model to estimate the long-term consequences of two treatment goals-a stringent control goal (HbA_1c <7.5%) and a moderate control goal (HbA_1c <8.5%)-on health and cost. Our simulation population represented typical patients, and all individuals in each health subgroup had average characteristics, which did not account for person-level variations. The CE study was conducted from a health system perspective and followed the study samples over a lifetime. We used $50,000 per quality-adjusted life year (QALY) as the incremental CE threshold.

RESULTS

A stringent goal was, on average, cost-effective for individuals with no complications ($10,007 per QALY) or only microvascular complications (excluding renal failure; $19,621 per QALY), but it was not cost-effective for individuals with one or more macrovascular complications (all >$82,413 per QALY). Further, a stringent goal was not cost-effective when an individual had less than 7 years of life remaining.

CONCLUSIONS

Our findings support the guideline recommendation that glycemic goals for older adults should consider the complexity of their complications and their life expectancy from a CE perspective.

Attributable Burden and Expenditure of Cardiovascular Diseases and Associated Risk Factors in Mexico and other Selected Mega-Countries

BACKGROUND

This paper describes the health and economic burden of cardiovascular diseases (CVD) in Mexico and other mega-countries through a review of literature and datasets.

METHODS

Mega-countries with a low (Nigeria), middle (India), high (China/Brazil/Mexico), and very high (the U.S.A./Japan) human development index were included. The review was focused on prevalence of dyslipidemias and CVD economic impact and conducted according to the PRISMA statement. Public datasets of CVD indicators were explored.

RESULTS

Heterogeneity in economic data and limited information on dyslipidemias were found. Hypertriglyceridemia and hypercholesterolemia were higher in Mexico compared with other countries. Higher contribution of dietary risk factors for cardiovascular mortality and greater probability of dying prematurely from CVD were observed in developing countries. From 1990-2016, a greater decrease in cardiovascular mortality in developed countries was registered. In 2015, a CVD expense equivalent to 4% of total health expenditure was reported in Mexico. CVD ranked first in health expenditures in almost all these nations and the economic burden will remain significant for decades to come.

CONCLUSIONS

Resources should be assured to optimize CVD risk monitoring. Educational and medical models must be improved to enhance CVD diagnosis and the prescription and adherence to treatments. Long-term benefits could be attained by modifying the food system.

[Diagnosis, treatment and monitoring of diabetic eye disease (Update 2019)]

Diabetes mellitus can cause diabetic retinopathy, diabetic macular edema, optic neuropathy, cataract or dysfunction of the eye muscles. The incidence of these defects correlates with disease duration and quality of metabolic control. Recommendations of the Austrian Diabetes Association for diagnosis, therapeutic procedures and requirements for adequate follow-up depending on stage of diabetic eye disease are summarized.

Medicaid Eligibility Expansions May Address Gaps In Access To Diabetes Medications

Diabetes is a top contributor to the avoidable burden of disease. Costly diabetes medications, including insulin and drugs from newer medication classes, can be inaccessible to people who lack insurance coverage. In 2014 and 2015 twenty-nine states and the District of Columbia expanded eligibility for Medicaid among low-income adults. To examine the impacts of Medicaid expansion on access to diabetes medications, we analyzed data on over ninety-six million prescription fills using Medicaid insurance in the period January 2008-December 2015. Medicaid eligibility expansions were associated with thirty additional Medicaid diabetes prescriptions filled per 1,000 population in 2014-15, relative to states that did not expand Medicaid eligibility. Age groups with higher prevalence of diabetes exhibited larger increases. The increase in prescription fills grew significantly over time. Overall, fills for insulin and for newer medications increased by 40 percent and 39 percent, respectively. Our findings suggest that Medicaid eligibility expansions may address gaps in access to diabetes medications, with increasing effects over time.

Assessing the Effect of Clinical Inertia on Diabetes Outcomes: a Modeling Approach

BACKGROUND

There are an increasing number of newer and better therapeutic options in the management of diabetes. However, a large proportion of diabetes patients still experience delays in intensification of treatment to achieve appropriate blood glucose targets-a phenomenon called clinical inertia. Despite the high prevalence of clinical inertia, previous research has not examined its long-term effects on diabetes-related health outcomes and mortality.

OBJECTIVE

We sought to examine the impact of clinical inertia on the incidence of diabetes-related complications and death. We also examined how the impact of clinical inertia would vary by the length of treatment delay and population characteristics.

DESIGN

We developed an agent-based model of diabetes and its complications. The model was parameterized and validated by data from health surveys, cohort studies, and trials.

SUBJECTS

We studied a simulated cohort of patients with diabetes in San Antonio, TX.

MAIN MEASURES

We examined 25-year incidences of diabetes-related complications, including retinopathy, neuropathy, nephropathy, and cardiovascular disease.

KEY RESULTS

One-year clinical inertia could increase the cumulative incidences of retinopathy, neuropathy, and nephropathy by 7%, 8%, and 18%, respectively. The effects of clinical inertia could be worse for populations who have a longer treatment delay, are aged 65 years or older, or are non-Hispanic whites.

CONCLUSION

Clinical inertia could result in a substantial increase in the incidence of diabetes-related complications and mortality. A validated agent-based model can be used to study the long-term effect of clinical inertia and, thus, inform clinicians and policymakers to design effective interventions.

Exploring Different Strategies of Assessing the Economic Impact of Multiple Diabetes-Associated Complications and Their Interactions: A Large Claims-Based Study in Germany

BACKGROUND

In the context of an aging population with increasing diabetes prevalence, people are living longer with diabetes, which leads to increased multimorbidity and economic burden.

OBJECTIVE

The primary aim was to explore different strategies that address the economic impact of multiple type 2 diabetes-related complications and their interactions.

METHODS

We used a generalized estimating equations approach based on nationwide statutory health insurance data from 316,220 patients with type 2 diabetes (baseline year 2012, 3 years of follow-up). We estimated annual total costs (in 2015 euros) for type 2 diabetes-related complications and, in addition, explored different strategies to assess diabetes-related multimorbidity: number of prevalent complications, co-occurrence of micro- and macrovascular complications, disease-disease interactions of prevalent complications, and interactions between prevalent/incident complications.

RESULTS

The increased number of complications was significantly associated with higher total costs. Further assessment of interactions showed that macrovascular complications (e.g., chronic heart failure) and high-cost complications (e.g., end-stage renal disease, amputation) led to significant positive effects of interactions on costs, whereas early microvascular complications (e.g., retinopathy) caused negative interactions. The chronology of the onset of these complications turned out to have an additional impact on the interactions and their effect on total costs.

CONCLUSIONS

Health economic diabetes models and evaluations of interventions in patients with diabetes-related complications should pay more attention to the economic effect of specific disease interactions. Politically, our findings support the development of more integrated diabetes care programs that take better account of multimorbidity. Further observational studies are needed to elucidate the shared pathogenic mechanisms of diabetes complications.

Simulating the impact of targeting lower systolic blood pressure and LDL-cholesterol levels on type 2 diabetes complication rates

AIMS

There are few data available on the incremental benefits of risk factor modification in type 2 diabetes mellitus (T2DM). We simulated the potential benefits of achieving lower systolic blood pressure (SBP) and LDL-cholesterol targets.

METHODS

We used the UKPDS Outcomes Model v2.0 to estimate 10-year event rates for complications using baseline data from 5717 participants with T2DM in the Trial Evaluating Cardiovascular Outcomes with Sitagliptin Study. All risk factor values were held constant over 10 years. In separate analyses, different levels of SBP between 160 and 120 mm Hg and LDL-cholesterol between 5.0 and 1.0 mmol/l were imposed on the cohort. Cumulative relative risk reductions (CRRR) at each 10 mm Hg and 1.0 mmol/l decrements respectively were compared using Kruskal-Wallis tests.

RESULTS

CRRRs for each 10 mm Hg SBP decrement from 160 mm Hg were 2.2%, 4.5%, 7.0% and 10.0% for myocardial infarction (MI); 12.5%, 24.8%, 35.6% and 44.9% for stroke; 5.4%, 10.9%, 16.2% and 20.9% for blindness; 7.4%, 14.7%, 21.6% and 27.4% for amputation, respectively. CRRRs for each 1.0 mmol/l LDL-cholesterol decrement from 5.0 mmol/l were 16.9%, 30.8%, 41.2% & 51.0% for MI; 9.2%, 19.7%, 29.6% & 38.8% for stroke (p < 0.001 in all cases).

CONCLUSIONS

These simulated outcomes illustrate the potential benefits of targeting progressively lower SBP and LDL-cholesterol values.

Prognostic tools for cardiovascular disease in patients with type 2 diabetes: A systematic review and meta-analysis of C-statistics

BACKGROUND

Diabetes is associated with an increased risk for cardiovascular diseases (CVD). Risk prediction models are tools widely used to identify individuals at particularly high-risk of adverse events. Many CVD risk prediction models have been developed but their accuracy and consistency vary.

OBJECTIVE

This study reviews the literature on available CVD risk prediction models specifically developed or validated in patients with diabetes and performs a meta-analysis of C-statistics to assess and compare their predictive performance.

METHODS

The online databases and manual reference checks of all identified relevant publications were searched.

RESULTS

Fifteen CVD prediction models developed for patients with diabetes and 11 models developed in a general population but later validated in diabetes patients were identified. Meta-analysis of C-statistics showed an overall pooled C-statistic of 0.67 and 0.64 for validated models developed in diabetes patients and in general populations respectively. This small difference in the C-statistic suggests that CVD risk prediction for diabetes patients depends little on the population the model was developed in (p = 0.068).

CONCLUSIONS

The discriminative ability of diabetes-specific CVD prediction models were modest. Improvements in the predictive ability of these models are required to understand both short and long-term risk before implementation into clinical practice.

Comorbidity Type and Health Care Costs in Type 2 Diabetes: A Retrospective Claims Database Analysis

INTRODUCTION

Previous studies suggest that the type and combination of comorbidities may impact diabetes care, but their cost implications are less clear. This study characterized how diabetes patients' health care utilization and costs may vary according to comorbidity type classified on the basis of the Piette and Kerr framework.

METHODS

We conducted a retrospective observational study of privately insured US adults newly diagnosed with type 2 diabetes (n = 138,466) using the 2014-2016 Optum Clinformatics^® Data Mart. Diabetes patients were classified into five mutually exclusive comorbidity groups: concordant only, discordant only, both concordant and discordant, any dominant, and none. We estimated average health care costs of each comorbidity group by using generalized linear models, adjusting for patient demographics, region, insurance type, and prior-year costs.

RESULTS

Most type 2 diabetes patients had discordant conditions only (27%), dominant conditions (25%), or both concordant and discordant conditions (24%); 7% had concordant conditions only. In adjusted analyses, comorbidities were significantly associated with higher health care costs (p < 0.0001) and the magnitude of the association varied with comorbidity type. Diabetes patients with dominant comorbidities incurred substantially higher costs ($38,168) compared with individuals with both concordant and discordant conditions ($20,401), discordant conditions only ($9173), concordant conditions only ($9000), and no comorbidities ($3365). More than half of the total costs in our sample (53%) were attributable to 25% of diabetes patients who had dominant comorbidities.

CONCLUSIONS

Diabetes patients with both concordant and discordant conditions and with clinically dominant conditions incurred substantially higher health costs than other diabetes patients. Our findings suggest that diabetes management programs must explicitly address concordant, discordant, and dominant conditions because patients may have distinctly different health care needs and utilization patterns depending on their comorbidity profiles. The Piette and Kerr framework may serve as a screening tool to identify high-need, high-cost diabetes patients and suggest targets for tailored interventions.

FUNDING

Sanofi.

Novel Risk Engine for Diabetes Progression and Mortality in USA: Building, Relating, Assessing, and Validating Outcomes (BRAVO)

BACKGROUND

There is an urgent need to update diabetes prediction, which has relied on the United Kingdom Prospective Diabetes Study (UKPDS) that dates back to 1970 s' European populations.

OBJECTIVE

The objective of this study was to develop a risk engine with multiple risk equations using a recent patient cohort with type 2 diabetes mellitus reflective of the US population.

METHODS

A total of 17 risk equations for predicting diabetes-related microvascular and macrovascular events, hypoglycemia, mortality, and progression of diabetes risk factors were estimated using the data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (n = 10,251). Internal and external validation processes were used to assess performance of the Building, Relating, Assessing, and Validating Outcomes (BRAVO) risk engine. One-way sensitivity analysis was conducted to examine the impact of risk factors on mortality at the population level.

RESULTS

The BRAVO risk engine added several risk factors including severe hypoglycemia and common US racial/ethnicity categories compared with the UKPDS risk engine. The BRAVO risk engine also modeled mortality escalation associated with intensive glycemic control (i.e., glycosylated hemoglobin < 6.5%). External validation showed a good prediction power on 28 endpoints observed from other clinical trials (slope = 1.071, R² = 0.86).

CONCLUSION

The BRAVO risk engine for the US diabetes cohort provides an alternative to the UKPDS risk engine. It can be applied to assist clinical and policy decision making such as cost-effective resource allocation in USA.

Modeling of Diabetes and Its Clinical Impact

Understanding all aspects of diabetes treatment is hindered by the complexity of this chronic disease and its multifaceted complications and comorbidities, including social and financial impacts. In vivo studies as well as clinical trials provided invaluable information for unraveling not only metabolic processes but also risk estimations of, for example, complications. These approaches are often time- and cost-consuming and have frequently been supported by simulation models. Simulation models provide the opportunity to investigate diabetes treatment from additional viewpoints and with alternative objectives. This review presents selected models focusing either on metabolic processes or risk estimations and financial outcomes to provide a basic insight into this complex subject. It also discusses opportunities and challenges of modeling diabetes.

Development and validation of a Health Policy Model of Type 2 diabetes in Chinese setting

Aim: Due to the difference in epidemiology and outcomes between eastern and western populations with Type 2 diabetes mellitus (T2DM), an important challenge is determining how useful the outcomes from diabetes models based on western populations are for eastern patients. Consequently, the principal aim of this study was to develop and validate a Health Policy Model (Chinese Outcomes Model for T2DM [COMT]) for supporting Chinese medical and health economic studies. Methods: The model is created to simulate a series of important complications of T2DM diabetes based on the latest Risk Equations for Complications of Type 2 Diabetes, which was adjusted by adding the adjustment regulator to the linear predictor within the risk equation. The validity of the model was conducted by using a total of 171 validation outcomes from seven studies in eastern populations and ten studies in western populations. The simulation cohorts in the COMT model were generated by copying each validation study's baseline characteristics. Concordance was tested by assessing the difference between the identity (45°) line and the best-fitting regression of the scatterplots for the predicted versus observed outcomes. Results: The slope coefficients of the best-fitting regression line between the predicted and corresponding observed actual outcomes was 0.9631 and the R² was 0.8701. There were major differences between western and eastern populations. The slope and R² of predictions were 0.9473 and 0.9272 in the eastern population and 1.0566 and 0.8863 in the western population, which showed more perfect agreement with the observed values in the eastern population than the western populations. The subset of macro-vascular and micro-vascular outcomes in the eastern population showed an identical tendency (the slope coefficient was close to 1), and mortality outcomes showed a slight tendency toward overestimation (the slope coefficient was close to 0.9208). Some degree of underprediction of macro-vascular and micro-vascular end points and overprediction of mortality end point was found in the western population. Conclusion: The COMT diabetes model simulated the long-term patient outcomes observed in eastern Asian T2DM patients with prediction accuracy. This study supports the COMT as a credible tool for Chinese healthcare decision makers. Further work is necessary to incorporate new local data to improve model validity and credibility.

Cost-effectiveness analysis of real-time continuous monitoring glucose compared to self-monitoring of blood glucose for diabetes mellitus in Spain

RATIONALE, AIMS AND OBJECTIVES

Self-monitoring of blood glucose (SMBG) is recommended to monitor glycaemic levels. The recent development of real-time continuous glucose monitoring (RT-CGM) enables continuous display of glucose concentration alerting patients in the event of relevant glucose fluctuations, potentially avoiding hypoglycaemic events and reducing long-term complications related to glycosylated haemoglobin (HbA1c) levels. This paper aims to evaluate the cost-effectiveness of RT-CGM compared to SMBG in patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) which should support decision-making on public funding of RT-CGM in Spain.

METHODS

We performed a systematic review and meta-analyses on the effectiveness of RT-CGM in the reduction of HbA1c levels and severe hypoglycaemic events. A cost-effectiveness analysis was conducted using a Markov model which simulates the costs and health outcomes of individuals treated under these alternatives for a lifetime horizon from the perspective of the Spanish Health Service. The effectiveness measure was quality-adjusted life years (QALYs). We ran extensive sensitivity analyses, including a probabilistic sensitivity analysis.

RESULTS

Real-time continuous glucose monitoring provides a significant reduction of HbA1c for T1DM (13 studies; weighted mean difference (WMD) = -0.23%, 95% CI: -0.35, -0.11) and T2DM (5 studies; WMD = -0.48%, 95% CI: -0.79, -0.17). There were no statistically significant differences in the rate of severe hypoglycaemic events in T1DM (9 studies; OR = 1.16, 95% CI: 0.78, 1.72) or T2DM (no severe hypoglycaemic events were reported in any study). In the base case analysis, RT-CGM led to higher QALYs and health care costs with an estimated incremental cost-effectiveness ratio of €2 554 723 and €180 553 per QALY for T1DM and T2DM patients respectively. Sensitivity analyses revealed that the study results were robust.

CONCLUSIONS

Real-time continuous glucose monitoring is not a cost-effective technology when compared to SMBG in Spain.

Health Care Costs Associated With Incident Complications in Patients With Type 2 Diabetes in Germany

OBJECTIVE

The aim of this study is to provide reliable regression-based estimates of costs associated with different type 2 diabetes complications.

RESEARCH DESIGN AND METHODS

We used nationwide statutory health insurance (SHI) data from 316,220 patients with type 2 diabetes. Costs for inpatient and outpatient care, pharmaceuticals, rehabilitation, and nonmedical aids and appliances were assessed in the years 2013-2015. Quarterly observations are available for each year. We estimated costs (in 2015 euro) for complications using a generalized estimating equations model with a normal distribution adjusted for age, sex, occurrence of different complications, and history of complications at baseline, 2012. Two- and threefold interactions were included in an extended model.

RESULTS

The base case model estimated total costs in the quarter of event for the example of a 60- to 69-year-old man as follows: diabetic foot €1,293, amputation €14,284, retinopathy €671, blindness €2,933, nephropathy €3,353, end-stage renal disease (ESRD) €22,691, nonfatal stroke €9,769, fatal stroke €11,176, nonfatal myocardial infarction (MI)/cardiac arrest (CA) €8,035, fatal MI/CA €8,700, nonfatal ischemic heart disease (IHD) €6,548, fatal IHD €20,942, chronic heart failure €3,912, and angina pectoris €2,695. In the subsequent quarters, costs ranged from €681 for retinopathy to €6,130 for ESRD.

CONCLUSIONS

Type 2 diabetes complications have a significant impact on total health care costs in the SHI system, not only in the quarter of event but also in subsequent years. Men and women from different age-groups differ in their costs for complications. Our comprehensive estimates may support the parametrization of diabetes models and help clinicians and policy makers to quantify the economic burden of diabetes complications in the context of new prevention and treatment programs.

Costs and effectiveness of pharmacist-led group medical visits for type-2 diabetes: A multi-center randomized controlled trial

OBJECTIVES

The effectiveness and costs associated with addition of pharmacist-led group medical visits to standard care for patients with Type-2 Diabetes Mellitus (T2DM) is unknown.

METHODS

Randomized-controlled-trial in three US Veteran Health Administration (VHA) Hospitals, where 250 patients with T2DM, HbA1c >7% and either hypertension, active smoking or hyperlipidemia were randomized to either (1) addition of pharmacist-led group-medical-visits or (2) standard care alone for 13 months. Group (4-6 patients) visits consisted of 2-hour, education and comprehensive medication management sessions once weekly for 4 weeks, followed by quarterly visits. Change from baseline in cardiovascular risk estimated by the UKPDS-risk-score, health-related quality-of-life (SF36v) and institutional healthcare costs were compared between study arms.

RESULTS

After 13 months, both groups had similar and significant improvements from baseline in UKPDS-risk-score (-0.02 ±0.09 and -0.04 ±0.09, group visit and standard care respectively, adjusted p<0.05 for both); however, there was no significant difference between the study arms (adjusted p = 0.45). There were no significant differences on improvement from baseline in A1c, systolic-blood-pressure, and LDL as well as health-related quality-of-life measures between the study arms. Compared to 13 months prior, the increase in per-person outpatient expenditure from baseline was significantly lower in the group visit versus the standard care arm, both during the study intervention period and at 13-months after study interventions. The overall VHA healthcare costs/person were comparable between the study arms during the study period (p = 0.15); then decreased by 6% for the group visit but increased by 13% for the standard care arm 13 months post-study (p<0.01).

CONCLUSIONS

Addition of pharmacist-led group medical visits in T2DM achieved similar improvements from baseline in cardiovascular risk factors than usual care, but with reduction in the healthcare costs in the group visit arm 13 months after completion compared to the steady rise in cost for the usual care arm.

TRIAL REGISTRATION

NCT00554671 ClinicalTrials.gov.

Effect of peer support interventions on cardiovascular disease risk factors in adults with diabetes: a systematic review and meta-analysis

BACKGROUND

Peer support by persons affected with diabetes improves peer supporter's diabetes self-management skills. Peer support interventions by individuals who have diabetes or are affected by diabetes have been shown to improve glycemic control; however, its effects on other cardiovascular disease risk factors in adults with diabetes are unknown. We aimed to estimate the effect of peer support interventions on cardiovascular disease risk factors other than glycemic control in adults with diabetes.

METHODS

We conducted a systematic review and meta-analysis of randomized controlled trials comparing peer support interventions to a control condition in adults affected by diabetes that measured any cardiovascular disease risk factors [Body Mass Index, smoking, diet, physical activity, cholesterol level, glucose control and blood pressure]. Quality was assessed by Cochrane's risk of bias tool. We calculated standardized mean difference effect sizes using random effects models.

RESULTS

We retrieved 438 citations from multiple databases including OVID MEDLINE, Cochrane database and Scopus, and author searches. Of 233 abstracts reviewed, 16 articles met inclusion criteria. A random effects model in a total of 3243 participants showed a positive effect of peer support interventions on systolic BP with a pooled effect size of 2.07 mmHg (CI 0.35 mmHg to 3.79 mmHg, p = 0.02); baseline pooled systolic blood pressure was 137 mmHg. There was a non-significant effect of peer support interventions on diastolic blood pressure, cholesterol, body mass index, diet and physical activity. Cardiovascular disease risk factors other than glycemic control outcomes were secondary outcomes in most studies and baseline values were normal or mildly elevated. Only one study reported smoking outcomes.

CONCLUSIONS

We found a small (2 mmHg) positive effect of peer support interventions on systolic blood pressure in adults with diabetes whose baseline blood pressure was on average minimally elevated. Additional studies need to be conducted to further understand the effect of peer support interventions on high-risk cardiovascular disease risk factors in adults with diabetes.

Patient navigators for people with chronic disease: A systematic review

BACKGROUND

People with chronic diseases experience barriers to managing their diseases and accessing available health services. Patient navigator programs are increasingly being used to help people with chronic diseases navigate and access health services.

OBJECTIVE

The objective of this review was to summarize the evidence for patient navigator programs in people with a broad range of chronic diseases, compared to usual care.

METHODS

We searched MEDLINE, EMBASE, CENTRAL, CINAHL, PsycINFO, and Social Work Abstracts from inception to August 23, 2017. We also searched the reference lists of included articles. We included original reports of randomized controlled trials of patient navigator programs compared to usual care for adult and pediatric patients with any one of a defined set of chronic diseases.

RESULTS

From a total of 14,672 abstracts, 67 unique studies fit our inclusion criteria. Of these, 44 were in cancer, 8 in diabetes, 7 in HIV/AIDS, 4 in cardiovascular disease, 2 in chronic kidney disease, 1 in dementia and 1 in patients with more than one condition. Program characteristics varied considerably. Primary outcomes were most commonly process measures, and 45 of 67 studies reported a statistically significant improvement in the primary outcome.

CONCLUSION

Our findings indicate that patient navigator programs improve processes of care, although few studies assessed patient experience, clinical outcomes or costs. The inability to definitively outline successful components remains a key uncertainty in the use of patient navigator programs across chronic diseases. Given the increasing popularity of patient navigators, future studies should use a consistent definition for patient navigation and determine which elements of this intervention are most likely to lead to improved outcomes.

TRIAL REGISTRATION

PROSPERO #CRD42013005857.

Control of glycemia and blood pressure in British adults with diabetes mellitus and subsequent therapy choices: a comparison across health states

Background

To examine the intensity of glycemic and blood pressure control in British adults with diabetes mellitus and whether control levels or treatment deintensification rates differ across health states.

Methods

Retrospective cohort study using primary care electronic medical records (the United Kingdom Health Improvement Network Database) for adults with diabetes diagnosed at least 6 months before the index HbA1C and systolic blood pressure (SBP) measurements (to give their primary care physicians time to achieve treatment goals). We used prescribing records for 6 months pre/post the index measurements to determine who had therapy subsequently deintensified (based on “glycemic therapy score” and “antihypertensive therapy score” derived from number and dosage of medications).

Results

Of 292,170 individuals with diabetes, HbA1C < 6% or SBP < 120 mmHg after at least 6 months of management was less common in otherwise fit patients (15.0 and 12.7%) than in those who were mildly frail (16.6 and 13.2%) or moderately–severely frail (20.2 and 17.0%, both p < 0.0001). In the next 6 months, only 44.7% of those with HbA1C < 6% had glycemic therapy reduced (44.4% of fit, 47.1% of mildly frail, and 41.5% of moderate-severely frail patients) and 39.8% of those with SBP < 120 had their antihypertensives decreased (39.3% of fit, 43.0% of mildly frail, and 46.7% of moderate-severely frail patients). On the other hand, more individuals exhibited higher than recommended levels for HbA1C or SBP after the first 6 months of therapy (37.3, 33.4, and 31.3% of fit, mildly frail, and moderately–severely frail patients had HbA1C > 7.5% and 46.6, 51.4, and 48.5% had SBP > 140 mmHg). The proportions of patients with HbA1C or SBP out of recommended treatment ranges changed little 6 months later despite frequent (median 14 per year) primary care visits.

Conclusions

Glycemic and hypertensive control exhibited statistically significant but small magnitude differences across frailty states. Medication deintensification was uncommon, even in frail patients below SBP and HbA1C targets. SBP levels were more likely to be outside recommended treatment ranges than glycemic levels.

Trial registration As this study is a retrospective secondary analysis of electronic medical record data and not a health care intervention trial it was not registered

Electronic supplementary material

The online version of this article (10.1186/s12933-018-0673-4) contains supplementary material, which is available to authorized users.