Pharmaceutical cost and multimorbidity with type 2 diabetes mellitus using electronic health record data

Catastrophic out-of-pocket payments related to non-communicable disease multimorbidity and associated factors, evidence from a public referral hospital in Addis Ababa Ethiopia

BACKGROUND

In low and middle-income countries (LMICs), non-communicable diseases (NCDs) are on the rise and have become a significant cause of mortality. Unfortunately, accessing affordable healthcare services can prove to be challenging for individuals who are unable to bear the expenses out of their pockets. For NCDs, the treatment costs are already high, and being multimorbid further amplifies the economic burden on patients and their families. The present study seeks to bridge the gap in knowledge regarding the financial risks that come with NCD multimorbidity. It accomplishes this by examining the catastrophic out-of-pocket (OOP) expenditure levels and the factors that contribute to it at Tikur Anbesa Specialized Hospital, Addis Ababa, Ethiopia.

METHODS

A facility-based cross-sectional study was conducted at Tikur Anbesa Specialized Hospital between May 18 and July 22, 2020 and 392 multimorbid patients participated. The study participants were selected from the hospital's four NCD clinics using systematic random sampling. Patients' direct medical and non-medical out-of-pocket (OOP) expenditures were recorded, and the catastrophic OOP health expenditure for NCD care was estimated using various thresholds as cutoff points (5%, 10%, 15%, 20%, 25%, and 40% of both total household consumption expenditure and non-food expenditure). The collected data was entered into Epi Data version 3.1 and analyzed using STATA V 14. Descriptive statistics were utilized to present the study's findings, while logistic regression was used to examine the associations between variables.

RESULTS

A study was conducted on a sample of 392 patients who exhibited a range of socio-demographic and economic backgrounds. The annual out-of-pocket spending for the treatment of non-communicable disease multimorbidity was found to be $499.7 (95% CI: $440.9, $558.6) per patient. The majority of these expenses were allocated towards medical costs such as medication, diagnosis, and hospital beds. It was found that as the threshold for spending increased from 5 to 40% of total household consumption expenditure, the percentage of households facing catastrophic health expenditures (CHE) decreased from 77.55 to 10.46%. Similarly, the proportion of CHE as a percentage of non-food household expenditure decreased from 91.84 to 28.32% as the threshold increased from 5 to 40%. The study also revealed that patients who traveled to Addis Ababa for healthcare services (AOR = 7.45, 95% CI: 3.41-16.27), who were not enrolled in an insurance scheme (AOR = 4.97, 95% CI: 2.37, 10.4), who had more non-communicable diseases (AOR = 2.05, 95% CI: 1.40, 3.01), or who had more outpatient visits (AOR = 1.46, 95%CI: 1.31, 1.63) had a higher likelihood of incurring catastrophic out-of-pocket health expenditures at the 40% threshold.

CONCLUSION AND RECOMMENDATION

This study has revealed that patients with multiple non-communicable diseases (NCDs) frequently face substantial out-of-pocket health expenditures (CHE) due to both medical and non-medical costs. Various factors, including absence from an insurance scheme, medical follow-ups necessitating travel to Addis Ababa, multiple NCDs and outpatient visits, and utilization of both public and private facilities, increase the likelihood of incurring CHE. To mitigate the incidence of CHE for individuals with NCD multimorbidity, an integrated NCD care service delivery approach, access to affordable medications and diagnostic services in public facilities, expanded insurance coverage, and fee waiver or service exemption systems should be explored.

DiabeText, a mobile health intervention to support medication taking and healthy lifestyle in adults with type 2 diabetes: Study protocol for a randomized controlled trial

AIM

To evaluate the effectiveness of DiabeText, a low-intensity, multifaceted, mobile health (mHealth) intervention to support medication taking and lifestyle change targeted to people with type 2 diabetes (T2D).

DESIGN

Phase III, 12-months, two-arm (1:1 allocation ratio), randomized parallel-group trial.

METHODS

We will recruit 740 adults with glycated hemoglobin (A1c) >8% (>64 mmol/mol) and with at least one prescription of a non-insulin antidiabetic drug. They will be allocated to a control (usual care) group or an intervention (DiabeText messaging intervention) group. The primary outcome measure will be A1c at 12 months follow-up. Secondary outcomes will include medication possession ratio and behavioral and psychological outcomes.

DISCUSSION

Recent trials suggest that digital health interventions can effectively support diabetes self-management improving T2D control and reducing important T2D complications. In Spain this type of interventions is understudied.

IMPACT

This trial will strengthen the evidence base of the impact of mHealth interventions to support diabetes self-management. If effective, DiabeText may offer a low-cost and highly scalable strategy to improve health at the population level in a sustainable way.

TRIAL REGISTRATION

ClinicalTrials.gov identifier NCT05006872; Official Title: Supporting People with Type 2 Diabetes in Effective Use of their Medicine Through a System Comprising Mobile Health Technology Integrated with Clinical Care.

Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge

Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.

Simplification of Complex Insulin Regimens with IdegLira in People with Type 2 Diabetes: Literature Review and Clinical Recommendations

INTRODUCTION

This study developed a simple algorithm based on clinical results described in medical literature and which allows one to simplify complex insulin regimes with IdegLira to avoid adverse events related to the complexity of some insulin treatments.

METHODS

We conducted a systematic review of the literature that allowed us to identify studies that evaluated the clinical result of simplifying complex insulin regimes. The authors reviewed the common factors these simpler regimes had, including the type of patients who used them.

RESULTS

We found nine clinical studies published between 2017 and 2022, eight performed in Europe and one in Latin America. The monitoring time of the studies ranged between 3 and 18 months. The size of the study populations was between 61 and 611 patients (the latter was in five countries). In all studies, HbA1c decreased by 0.6-1.7% and the weight decreased by 0.1-3.11 kg.

CONCLUSIONS

On the basis of the findings of these studies, we made some recommendations for clinical practice to simplify treatment. The results of these studies support an algorithm that simplifies the treatment of complex insulin regimens.

Racial differences in healthcare expenditures for prevalent multimorbidity combinations in the USA: a cross-sectional study

BACKGROUND

We aimed to model total charges for the most prevalent multimorbidity combinations in the USA and assess model accuracy across Asian/Pacific Islander, African American, Biracial, Caucasian, Hispanic, and Native American populations.

METHODS

We used Cerner HealthFacts data from 2016 to 2017 to model the cost of previously identified prevalent multimorbidity combinations among 38 major diagnostic categories for cohorts stratified by age (45-64 and 65 +). Examples of prevalent multimorbidity combinations include lipedema with hypertension or hypertension with diabetes. We applied generalized linear models (GLM) with gamma distribution and log link function to total charges for all cohorts and assessed model accuracy using residual analysis. In addition to 38 major diagnostic categories, our adjusted model incorporated demographic, BMI, hospital, and census division information.

RESULTS

The mean ages were 55 (45-64 cohort, N = 333,094) and 75 (65 + cohort, N = 327,260), respectively. We found actual total charges to be highest for African Americans (means $78,544 [45-64], $176,274 [65 +]) and lowest for Hispanics (means $29,597 [45-64], $66,911 [65 +]). African American race was strongly predictive of higher costs (p < 0.05 [45-64]; p < 0.05 [65 +]). Each total charge model had a good fit. With African American as the index race, only Asian/Pacific Islander and Biracial were non-significant in the 45-64 cohort and Biracial in the 65 + cohort. Mean residuals were lowest for Hispanics in both cohorts, highest in African Americans for the 45-64 cohort, and highest in Caucasians for the 65 + cohort. Model accuracy varied substantially by race when multimorbidity grouping was considered. For example, costs were markedly overestimated for 65 + Caucasians with multimorbidity combinations that included heart disease (e.g., hypertension + heart disease and lipidemia + hypertension + heart disease). Additionally, model residuals varied by age/obesity status. For instance, model estimates for Hispanic patients were highly underestimated for most multimorbidity combinations in the 65 + with obesity cohort compared with other age/obesity status groupings.

CONCLUSIONS

Our finding demonstrates the need for more robust models to ensure the healthcare system can better serve all populations. Future cost modeling efforts will likely benefit from factoring in multimorbidity type stratified by race/ethnicity and age/obesity status.

Main drivers of diabetes pharmaceuticals expenditures: evidence from OECD countries and Iran

Purpose

This study aimed to identify the impact of prominent drivers on drug expenditure for diabetes.

Method

Following the examination of previous studies, this study identified possible factors contributing to diabetes pharmaceutical expenditures. The explanatory variables for the study were the median population age, access to innovative drugs, GDP per capita, prevalence, price, and consumption of diabetes drugs. Then, to estimate the per capita expenditure among diabetic patients, this study developed the panel data model and two time-series regression models for OECD countries and Iran, respectively.

Results

In the panel data regression model, R2 was 0.43. The influence of the age, prevalence, consumption volume and GDP per capita coefficients were + 1.79, + 0.704, + 3.86057, + 0.00054, respectively. Also, the probability level of all variables was less than 0.05. In Iran's comparative time-series regression model, R2 was 0.9, and the only significant influence coefficient was the age (β=+0.91). In the another model for Iran, R2 was 0.99, the influence coefficient of age was + 0.249, the prevalence was + 0.131, innovation was + 0.029, and the price was + 0.00054; all the probability levels were less than 0.05.

Conclusion

Pharmaceutical per capita expenditure is affected by several factors. These factors are not the same in various counties. Passing a judgment on drug utilization only based on pharmaceutical per capita expenditure cannot be perfect. Also, judging whether the per capita drug expenditure in one country is desirable without attention to the affecting factors and only relying on the value of utilized medicines is defective.

Osteolytic metatarsal osteomyelitis regenerated by combined treatment of artificial carbon dioxide foot bathing and povidone-iodine sugar ointment: a case report

BACKGROUND

In recent years, the number of patients with ischemic skin ulcers due to diabetes mellitus and arteriosclerosis obliterans are increasing. Accordingly, endovascular therapy, drugs, and various wound dressings have been developed and applied to diabetic foot ulcers, and negative-pressure wound therapy, which often requires expensive and burdensome procedures for medical personnel, has also become popular. So simple and minimal invasive home treatment by the patient or their caregiver is required.

CASE PRESENTATION

The present patient (77 years old, male, Asian) had developed left sole ulcers with draining pus that were resistant to conventional treatment, and he suffered from gait disturbance. We report a case of metatarsal osteomyelitis in a patient with diabetes mellitus and arteriosclerosis obliterans, in whom artificial carbon dioxide foot bathing and povidone-iodine sugar ointment were used continuously to promote bone and joint regeneration, and skin ulcer healing.

CONCLUSIONS

A simple therapeutic intervention with artificial carbon dioxide foot bathing and povidone-iodine sugar ointment can improve not only ischemic skin ulcers, but also the bone and joint regeneration of ischemic limbs. This therapy can lead to a reduction in healthcare costs for a huge number of diabetic patients.

Foot self-care behaviour in type 2 diabetes adults with and without comorbid heart failure

AIMS

To compare the correlates of foot self-care behaviours among type 2 diabetes mellitus (T2D) adults with and without comorbid heart failure (HF).

DESIGN

Cross-sectional, correlational, comparative design.

METHODS

A 210 T2D adults (105 with HF and 105 without HF) participated from August-December 2020. Foot self-care behaviour was measured using the foot care subscale of the Summary of Diabetes Self-Care Activities (SDSCA) instrument. A stepwise logistic regression analysis was used to explore variables predicting foot self-care behaviour.

RESULTS

The participants' mean age was 58.7 ± 10.9 years. Poor foot self-care behaviour was reported in T2D adults both with (53.3%) and without (54.3%) HF. Participants with HF-comorbidity were statistically significantly older and had higher total daily medication intake. Household income and the total number of daily medications statistically significantly predicted foot self-care behaviour in HF-comorbid T2D adults. Marital status, social support and body mass index predicted foot self-care behaviour in the non-HF group.

Multimorbidity Patterns among People with Type 2 Diabetes Mellitus: Findings from Lima, Peru

BACKGROUND

Type 2 diabetes (T2DM) is a chronic condition with a high disease burden worldwide, and individuals with T2DM often have other morbidities. Understanding the local multimorbidity profile of patients with T2DM will inform precision medicine and public health, so that tailored interventions can be offered according to the different profiles.

METHODS

An analysis was conducted of electronic health records (2016-2021) in one hospital in Lima, Peru. Based on ICD-10 codes and the available measurements (e.g., body mass index), we identified all T2DM cases and quantified the frequency of the most common comorbidities (those in ≥1% of the sample). We also conducted k-means analysis that was informed by the most frequent comorbidities, to identify clusters of patients with T2DM and other chronic conditions.

RESULTS

There were 9582 individual records with T2DM (mean age 58.6 years, 61.5% women). The most frequent chronic conditions were obesity (29.4%), hypertension (18.8%), dyslipidemia (11.3%), hypothyroidism (6.4%), and arthropathy (3.6%); and 51.6% had multimorbidity: 32.8% had only one, 14.1% had two, and 4.7% had three or more extra chronic conditions in addition to T2DM. The cluster analysis revealed four unique groups: T2DM with no other chronic disease, T2DM with obesity only, T2DM with hypertension but without obesity, and T2DM with all other chronic conditions.

CONCLUSIONS

More than one in two people with T2DM had multimorbidity. Obesity, hypertension, and dyslipidemia were the most common chronic conditions that were associated with T2DM. Four clusters of chronic morbidities were found, signaling mutually exclusive profiles of patients with T2DM according to their multimorbidity profile.

The Impact of Multimorbidities on Catastrophic Health Expenditures among Patients Suffering from Hypertension in China: An Analysis of Nationwide Representative Data

Background: Patients with hypertension are sensitive to multimorbidities (i.e., the existence of ≥2 chronic diseases), and the related treatment can create enormous economic burdens. We sought to examine the distribution of multimorbidities, the prevalence and factors of catastrophic health expenditure (CHE), the impact of multimorbidities on CHE, and the variation in this relationship across age groups, work status, and combinations of socioeconomic status and health insurance types. Methods: Socioeconomic-related inequality associated with CHE was estimated by concentration curve and concentration index. We examined the determinants of CHE and the impact of age groups, work status, and combinations of socioeconomic groups and health insurance schemes against the relationship with multimorbidities and CHE using logistic regression. Results: 5693 (83.3%) participants had multimorbidities. In total, 49.8% of families had experienced CHE, and the concentration index was −0.026 (95% confidence interval [CI], −0.032 to −0.020). Multimorbidities were related to the increased odds of CHE (odds ratio [OR], 1.21; 95% CI, 1.18–1.25). The relationship between multimorbidities and CHE persisted across age groups, work status, and combinations of socioeconomic status and health insurance schemes. Conclusions: More than 80% of patients with hypertension had multimorbidities. The protection of health insurance schemes against financial risks is very limited.

Multimorbidity and catastrophic health expenditure among patients with diabetes in China: a nationwide population-based study

INTRODUCTION

Multimorbidity is common among patients with diabetes and can lead to catastrophic health expenditure (CHE) for their families. This study aims to investigate the prevalence of multimorbidity and CHE among people with diabetes in China, and the association between multimorbidity and CHE and whether this is influenced by socioeconomic status and health insurance type.

METHODS

A national survey was conducted in China in 2013 that included 8471 people aged ≥18 years who were living with diabetes. The concentration curve and concentration index were used to measure socioeconomic-related inequalities. Factors influencing CHE and the impact of multimorbidity on CHE according to socioeconomic status and health insurance type were examined by logistic regression.

RESULTS

There were 5524 (65.2%) diabetes patients with multimorbidity. The prevalence of CHE was 56.6%, with a concentration index of -0.030 (95% CI -0.035 to -0.026). For each additional chronic disease, the probability of CHE increased by 39% (OR=1.39, 95% CI 1.31 to 1.47). Factors that were positively associated (p<0.05) with CHE included older age; male sex; lower educational level; being retired, unemployed or jobless; being a non-smoker and non-drinker; having had no physical examination; lower socioeconomic status; being in an impoverished family; and residing in the central or western regions. Among participants with Urban Employee Basic Medical Insurance, Urban Resident Basic Medical Insurance, and New Rural Cooperative Medical Scheme, the probability of CHE increased by 32% (OR=1.32, 95% CI 1.23 to 1.43), 43% (OR=1.43, 95% CI 1.24 to 1.65) and 47% (OR=1.47, 95% CI 1.33 to 1.63), respectively, with each additional chronic disease. The association between multimorbidity and CHE was observed across all health insurance types irrespective of socioeconomic status.

CONCLUSIONS

Multimorbidity affects about two-thirds of Chinese patients with diabetes. Current health insurance schemes offer limited protection against CHE to patients' families.

Cost of Type 2 Diabetes Patients with Chronic Kidney Disease Based on Real-World Data: An Observational Population-Based Study in Spain

This study analyzed the prevalence, costs and economic impact of chronic kidney disease CKD in patients with T2D in a Spanish Health District using real-world data. Observational cross-sectional study in adult patients with T2D was through data extracted from the information systems of the Valencia Clínico–La Malvarrosa Health District in the year 2015. Patients were stratified with the KDIGO classification for CKD. Additionally, patients were assigned to Clinical Risk Groups (CRGs) according to multimorbidity. Direct costs of primary and specialized care, and medication were estimated. The prevalence of T2D in the database population (n = 28,345) was 10.8% (mean age (SD) = 67.8 years (13.9); 51.5% male). Up to 14.935 patients (52.6%) had data on kidney function. According to the KDIGO classification, 66.2% of the patients were at low risk of CKD, 20.6% at moderately increased risk, 7.9% at high risk, and 5.2% at very high risk. The average healthcare costs associated with these four risk groups were EUR 3437, EUR 4936, EUR 5899 and EUR 7389, respectively. The large number of T2D patients with CKD in the early stages of the disease generated a significant increase in direct healthcare costs. The economic impact could be mitigated by early and comprehensive therapeutic approaches.

Rates and estimated cost of primary care consultations in people diagnosed with type 2 diabetes and comorbidities: A retrospective analysis of 8.9 million consultations

AIMS

To determine whether telephone and face-to-face primary care consultation rates, costs, and temporal trends during 2000 to 2018 differed by the number of comorbidities in people with type 2 diabetes (T2DM).

METHODS

A total of 120 409 adults with newly diagnosed T2DM between 2000 and 2018 were classified by the number of prevalent and incident comorbidities. Data on face-to-face and telephone primary care consultations with a nurse or physician were obtained. Crude and sex- and age-adjusted annual consultation rates and associated costs were calculated based on the number of comorbidities at the time of consultation.

RESULTS

The crude rate of face-to-face primary care consultations for patients without comorbidities was 10.3 (95% confidence interval [CI] 10.3-10.4) per person-year, 12.7 (95% CI 12.7-12.7) for patients with one comorbidity, 15.1 (95% CI 15.1-15.2) for those with two comorbidities, and 18.7 (95% CI 18.7-18.8) for those with three or more comorbidities. The mean annual inflation-adjusted cost for face-to-face consultations was £412.70 per patient without comorbidities, £516.80 for one comorbidity, £620.75 for two comorbidities, and £778.83 for three or more comorbidities. The age- and sex-adjusted face-to-face consultation rate changed by an average of -3.3% (95% CI -4.4 to -2.3) per year from 2000 to 2018 for patients without comorbidities, -2.7% (95% CI -4.0 to -1.3) for those with one comorbidity, -2.2% (95% CI -3.3 to -1.2) for those with two comorbidities, and -4.3% (95% CI -8.7 to +0.3) for those with three or more comorbidities.

CONCLUSIONS

Although consultation rates for all patients decreased from 2000 to 2018, there was a significant disparity between the rate for patients with and without comorbidities. Patients with T2DM and comorbidities may require different models of service delivery.

Epidemiology and Economic Burden of Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus in Spain: A Systematic Review

INTRODUCTION

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in people with type 2 diabetes mellitus (T2DM). The objectives of this systematic literature review were to identify and synthesize published data describing the epidemiology and mortality of CVD in the T2DM population and the associated economic burden.

METHODS

We conducted a systematic review searching the PubMed and MEDES databases from 2009 to 2019 using predefined selection criteria. Peer-reviewed observational studies reporting primary or secondary data on CVD prevalence, incidence, mortality, resource use and costs in patients with T2DM in Spain, written in English and Spanish, were included. Data were tabulated and summarized descriptively.

RESULTS

Of 706 articles identified, 52 were included in the review. Most studies were based on data from hospital discharge databases and registries. The reported prevalence of CVD among patients with T2DM ranged from 6.9 to 40.8%. The prevalence of coronary heart disease ranged from 4.7 to 37%, stroke from 3.5 to 19.6%, peripheral artery disease from 2.5 to 13.0%, and heart failure from 4.3 to 20.1%. In-hospital CVD mortality rates ranged from 5.6 to 10.8%. Direct costs due to CVD in hospitalized patients with T2DM were increased (> 50%) compared with patients without CVD. No studies analysed indirect costs of CVD in patients with T2DM.

CONCLUSIONS

The burden of CVD among patients with T2DM, combined with the elevated costs of care, highlights the importance of early prevention as part of integrated management of the disease to improve clinical and economic outcomes.

Health care service use and costs for a cohort of high-needs elderly diabetic patients

AIMS

To describe the impact of diabetes comorbidities on the health care services use and costs of a cohort of elderly patients with diabetes and high health care needs (HHCN), based on real-world data.

METHODS

We focused on a cohort of diabetic patients with HHCN belonging to Resource Utilization Bands 4 and 5 according to the Adjusted Clinical Group (ACG) system. Their comorbidities were assessed using the clinical diagnoses that the ACG system assigns to single patients by combining different information flows. Regression models were applied to analyze the associations between comorbidities and health care service use or costs, adjusting for age and sex.

RESULTS

Our analyses showed that all health care service usage measures (e.g. access to emergency care; number of outpatient visits) and the total annual costs and pharmacy costs are associated significantly with comorbidity class. Instead, no differences in hospitalization rates by comorbidity class were revealed.

CONCLUSION

The association between a larger number of comorbidities and higher total health care service usage and costs was seen mainly for primary care services. This underscores the need to strengthen primary care for today's aging and multimorbid population.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

High-dimensionality Data Analysis of Pharmacological Systems Associated with Complex Diseases

It is widely accepted that molecular reductionist views of highly complex human physiologic activity, e.g., the aging process, as well as therapeutic drug efficacy are largely oversimplifications. Currently some of the most effective appreciation of biologic disease and drug response complexity is achieved using high-dimensionality (H-D) data streams from transcriptomic, proteomic, metabolomics, or epigenomic pipelines. Multiple H-D data sets are now common and freely accessible for complex diseases such as metabolic syndrome, cardiovascular disease, and neurodegenerative conditions such as Alzheimer's disease. Over the last decade our ability to interrogate these high-dimensionality data streams has been profoundly enhanced through the development and implementation of highly effective bioinformatic platforms. Employing these computational approaches to understand the complexity of age-related diseases provides a facile mechanism to then synergize this pathologic appreciation with a similar level of understanding of therapeutic-mediated signaling. For informative pathology and drug-based analytics that are able to generate meaningful therapeutic insight across diverse data streams, novel informatics processes such as latent semantic indexing and topological data analyses will likely be important. Elucidation of H-D molecular disease signatures from diverse data streams will likely generate and refine new therapeutic strategies that will be designed with a cognizance of a realistic appreciation of the complexity of human age-related disease and drug effects. We contend that informatic platforms should be synergistic with more advanced chemical/drug and phenotypic cellular/tissue-based analytical predictive models to assist in either de novo drug prioritization or effective repurposing for the intervention of aging-related diseases. SIGNIFICANCE STATEMENT: All diseases, as well as pharmacological mechanisms, are far more complex than previously thought a decade ago. With the advent of commonplace access to technologies that produce large volumes of high-dimensionality data (e.g., transcriptomics, proteomics, metabolomics), it is now imperative that effective tools to appreciate this highly nuanced data are developed. Being able to appreciate the subtleties of high-dimensionality data will allow molecular pharmacologists to develop the most effective multidimensional therapeutics with effectively engineered efficacy profiles.

Resource use and costs in patients with poorly controlled type 2 diabetes mellitus and obesity in routine clinical practice in Spain

OBJECTIVE

To compare healthcare resource use (HRU) and annual costs in type 2 diabetes mellitus (T2DM) patients with poor glycaemic control and obesity versus good glycaemic control without obesity.

METHODS

Observational retrospective study based on the analysis of electronic medical records from the BIG-PAC database, with one year of follow-up. T2DM patients aged ≥30 years who requested medical care during 2013 were included. Annual HRU and costs per patient were compared between a reference group (HbA1c ≥ 8%, BMI ≥30 kg/m², receiving ≥2 oral antidiabetic drugs [OADs]) and a control group (HbA1c < 7% and BMI <30 kg/m²). Direct and indirect costs (lost productivity) were analysed. Cost comparisons across groups were made using the analysis of covariance (ANCOVA) for each cost component, with age, sex, time from diagnosis, Charlson comorbidity index, OAD number and sex by group interaction as covariates.

RESULTS

During the follow-up, patients in the reference group (N = 2709) had a greater HRU than those in the control group (N = 5266), especially in the number of primary care (PC) visits (11.8 vs. 9.8; 95%CI: 11.5-12.1 vs. 9.6-10.0) and days of hospitalization (1.1 vs 0.6; 95%CI: 1.0-1.2 vs. 0.5-0.7). The main components of the total cost were hospital admissions (24.5%), productivity losses (16.3%), complementary tests (14.4%), PC visits (14.2%) and medication (13.6%) in the reference group and medication (19.6%), hospital admissions (18.7%) and PC visits (18.2%) in the control group. The corrected mean annual cost per patient was higher in the reference than in the control group: €1804 vs. €1309; p < .001.

CONCLUSIONS

Poor glycaemic control and obesity in T2DM patients were associated with increased HRU and costs in routine clinical practice.

Burden of disease and costs associated with type 2 diabetes in emerging and established markets: systematic review analyses

Objectives: To estimate the clinical and economic burden of type 2 diabetes (T2D) in established (EST) and emerging markets (EMG).Methods: Three systematic literature reviews were conducted in MEDLINE and Embase to capture all relevant publications reporting 1) the epidemiology of T2D and complications in T2D and 2) the economic burden of T2D and associated complications.Results: In total, 294 studies were included in this analysis. Evidence indicates a high and increasing overall prevalence of T2D globally, ranging up to 23% in EMG markets and 14% in EST markets. Undiagnosed cases were higher in EMG versus EST markets (up to 67% vs 38%), potentially due to a lack of education and disease awareness in certain regions, that could lead to important clinical and economic consequences. Poor glycemic control was associated with the development of several complications (e.g. retinopathy, cardiovascular diseases and nephropathy) that increase the risk of morbidity and mortality. Direct costs were up to 9-fold higher in patients with vs without T2D-related complications.Conclusions: The burden of T2D, related complications and inherent costs are higher in emerging versus established market countries. This review explores potential strategies to reduce costs and enhance outcomes of T2D treatment in developing countries.

Medical Costs of Patients with Type 2 Diabetes in a Single Payer System: A Classification and Regression Tree Analysis

BACKGROUND AND OBJECTIVES

Many studies and systematic reviews have estimated the healthcare costs of diabetes using a cost-of-illness approach. However, in the studies based on this approach patients' heterogeneity is rarely taken into account. The aim of this study was to stratify patients with type 2 diabetes into homogeneous cost groups based on demographic and clinical characteristics.

METHODS

We conducted a retrospective cost-of-illness study by linking individual data on health services utilization retrieved from the administrative databases of Emilia-Romagna Region (Italy). Direct medical costs (either all-cause or diabetes-related) were calculated from the perspective of the regional health service, using tariffs for hospitalizations and outpatient services and the unit costs of prescriptions for drugs. The determinants of costs identified in a generalized linear regression model were used to characterize subgroups of patients with homogeneous costs in a classification and regression tree analysis.

RESULTS

The study population consisted of a cohort of 101,334 patients with type 2 diabetes, followed up for 1 year, with a mean age of 70.9 years. Age, gender, complications, comorbidities and living area accounted significantly for cost variability. The classification tree identified ten patient subgroups with different costs, ranging from a median of €483 to €39,578. The two subgroups with highest costs comprised dialysis patients, and the largest subgroup (57.9%) comprised patients aged ≥ 65 years without renal, cardiovascular and cerebrovascular complications.

CONCLUSIONS

Classification of patients into homogeneous cost subgroups can be used to improve the management of, and budget allocation for, patients with type 2 diabetes.

Promises and pitfalls of electronic health record analysis

Routinely collected electronic health records (EHRs) are increasingly used for research. With their use comes the opportunity for large-scale, high-quality studies that can address questions not easily answered by randomised clinical trials or classical cohort studies involving bespoke data collection. However, the use of EHRs generates challenges in terms of ensuring methodological rigour, a potential problem when studying complex chronic diseases such as diabetes. This review describes the promises and potential of EHRs in the context of diabetes research and outlines key areas for caution with examples. We consider the difficulties in identifying and classifying diabetes patients, in distinguishing between prevalent and incident cases and in dealing with the complexities of diabetes progression and treatment. We also discuss the dangers of introducing time-related biases and describe the problems of inconsistent data recording, missing data and confounding. Throughout, we provide practical recommendations for good practice in conducting EHR studies and interpreting their results.

Women with atrial fibrillation and type 2 diabetes have a higher incidence of hospitalization and undergo ablation or pacemaker implantation less frequently than men

BACKGROUND

We reviewed trends from 2004 to 2013 in the incidence and outcomes for atrial fibrillation (AF) in Spanish patients with type 2 diabetes mellitus (T2DM) comparing women and men.

METHODS

We used national hospital discharge data including all T2DM patients discharged from the hospital after AF. Patients with AF in the primary diagnosis field were selected. Discharges were grouped by sex. Incidence was calculated overall and stratified by sex. We analyzed diagnostic and therapeutic procedures, patient comorbidities, CHA2DS2-VASc score, length of hospital stay, readmission rates and in-hospital mortality (IHM).

RESULTS

We identified a total of 214,457 admissions for AF. Patients with T2DM accounted for 21.1% (19,505 men and 25,954 women). Women with T2DM had a significantly higher incidence of AF compared to men over the study period (IRR 1.33;95%CI 1.31-1.35). Women were significantly older (77.24±8.69years) than men (72.62±10.28years), had higher prevalences of obesity and hypertension, and higher CHA2DS2-VASc score. Women less frequently underwent ablation (3.21% vs. 1.54%; p<0.001) and received an implanted pacemaker (14.3% vs. 8.16%; p<0.001) than men. Crude IHM was 2.81% for women and 2.48% for men (p=0.030). Sex was not associated with a higher IHM after multivariable adjustment.

CONCLUSIONS

Our study demonstrates an increase in hospitalization for AF in diabetic women. Women were older, had a higher comorbidity index and had CHAD2DS2-VASc score than men. Women with AF and T2DM undergo ablation or pacemaker implantation less frequently than their male counterparts. After multivariable adjustment sex did not predict mortality during admissions for AF.

Costs of Managing Patients with Diabetes in a Large Health Maintenance Organization in Israel: A Retrospective Cohort Study

INTRODUCTION

The aim of this study was to evaluate the direct costs of patients with diabetes ensured in a large health maintenance organization, Maccabi Health Services (MHS), in order to compare the medical costs of these patients to the medical costs of other patients insured by MHS and to assess the impact of poorly controlled diabetes on medical costs.

METHODS

A retrospective analysis of patients insured in MHS during 2012 was performed. Data were extracted automatically from the electronic database. A glycated hemoglobin (HbA1c) level of >9% (75 mmol/mol) was considered to define poorly controlled diabetes, and that of <7% (53 mmol/mol) and <8% (64 mmol/mol) to define controlled diabetes for patients aged <75 and ≥75 years, respectively. Multivariate analysis analyses were done to assess factors affecting cost.

RESULTS

Data on a total of 99,017 patients with diabetes were obtained from the MHS database for 2012. Of these, 54% were male and 72% were aged 45-75 years. The median annual cost of treating diabetes was 4420 cost units (CU), with hospitalization accounting for 56% of the total costs. The median annual cost per patient in the age groups 35-44 and 75-84 years was 2836 CU and 7033 CU, respectively. Differences between costs for patients with diabetes and those for patients without diabetes was 85% for the age group 45-54 years but only 24% for the age group 75-84 years. Medical costs increased similarly with age for patients with controlled diabetes and those with poorly controlled diabetes costs, as did additional co-morbidities. Costs were significantly impacted by kidney disease. The costs for patients with an HbA1c level of 8.0-8.99% (64-74 mmol/mol) and 9.0-9.99% (75-85 mmol/mol) were 5722 and 5700 CU, respectively. In a multivariate analysis the factors affecting all patients' costs were HbA1C level, male gender, chronic diseases, complications of diabetes, disease duration, and stage of kidney function.

CONCLUSIONS

The direct medical costs of patients with diabetes were significantly higher than those of patients without diabetes. The main drivers of these higher costs were hospitalizations and renal function. In poorly controlled patients the effect of HbA1c on costs was limited. These findings suggest that it is cost effective to identify patients with diabetes early in the course of the disease.

FUNDING

The work was sponsored by internal funds of the authors. Article processing charges for this study was funded by Novo Nordisk.