Comparing the national economic burden of five chronic conditions

Letter to the editor: alarming prevalence of comorbid conditions in adults with type 2 diabetes in Iran

One of the key challenges that healthcare continues to face is the ongoing epidemiological transition from communicable diseases to non-communicable diseases. In Iran, it is expected that the number of patients with non-communicable diseases will increase because of the growing prevalence of the Western lifestyle, nutritional transition, and the aging of society. As the elderly population continues to grow, cardiovascular diseases have progressively replaced communicable diseases as the leading cause of mortality. In 2016, ischemic heart diseases, cerebrovascular accidents, hypertension, and diabetes were the first, second, fourth, and sixth leading causes of mortality respectively. Like many patients with a chronic disease, most Iranians with diabetes have at least one comorbid condition. Diabetes-related comorbidities increase the healthcare demands, cost, and risk of poor patient outcomes. Although a growing body of evidence indicates that the type and severity of the comorbid conditions matter, less attention has been paid to studying how they influence diabetes care. Further research should continue to focus on furthering our understanding of management strategies to enhance the quality of care for diabetes patients having comorbidities.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01254-w.

Cost-effectiveness of personalised telehealth intervention for chronic disease management: A pilot randomised controlled trial

OBJECTIVE

The study aims to assess the cost-effectiveness of a personalised telehealth intervention to manage chronic disease in the long run.

METHOD

The Personalised Health Care (PHC) pilot study was a randomised trial with an economic evaluation alongside over 12 months. From a health service perspective, the primary analysis compared the costs and effectiveness of PHC telehealth monitoring with usual care. An incremental cost-effectiveness ratio was calculated based on costs and health-related quality of life. The PHC intervention was implemented in the Barwon Health region, Geelong, Australia, for patients with a diagnosis of COPD and/or diabetes who had a high likelihood of hospital readmission over 12 months.

RESULTS

When compared to usual care at 12 months, the PHC intervention cost AUD$714 extra per patient (95%CI -4879; 6308) with a significant improvement of 0.09 in health-related quality of life (95%CI: 0.05; 0.14). The probability of PHC being cost-effective by 12 months was close to 65%, at willingness to pay a threshold of AUD$50,000 per quality-adjusted life year.

CONCLUSION

Benefits of PHC to patients and the health system at 12 months translated to a gain in quality-adjusted life years with a non-significant cost difference between the intervention and control groups. Given the relatively high set-up costs of the PHC intervention, the program may need to be offered to a larger population to achieve cost-effectiveness. Long-term follow-up is required to assess the real health and economic benefits over time.

The effects of aging and frailty on inpatient glycemic control by continuous glucose monitoring in patients with type 2 diabetes

BACKGROUND

Older adults with diabetes in the hospital are generally managed similarly to younger adults, however, it is unknown if the degree of frailty can affect glucose control among hospitalized patients.

METHODS

We examined glycemic parameters derived from continuous glucose monitoring (CGM) in older adults with type 2 diabetes and frailty who were hospitalized in non-acute settings. Data was pooled from 3 prospective studies using CGM including 97 patients wearing Libre CGM sensors and 166 patients wearing Dexcom G6 CGM. Glycemic parameters (time in range (TIR) 70-180; time below range (TBR) <70 and 54 mg/dl) by CGM were compared between 103 older adults ≥60 years and 168 younger adults <60 years. Frailty was assessed using validated laboratory and vital signs frailty index FI-LAB (n = 85), and its effect on hypoglycemia risk was studied.

RESULTS

Older adults, as compared to younger adults, had significantly lower admission HbA1c (8.76% ± 1.82 vs. 10.25% ± 2.29, p < 0.001), blood glucose (203.89 ± 88.65 vs. 247.86 ± 124.17 mg/dl, p = 0.003), mean daily BG (173.9 ± 41.3 vs. 183.6 ± 45.0 mg/dl, p = 0.07) and higher percent TIR 70-180 mg/dl (59.0 ± 25.6% vs. 51.0 ± 26.1%, p = 0.02) during hospital stay. There was no difference in hypoglycemia occurrence between older and younger adults. Higher FI-LAB score was associated with higher % CGM < 70 mg/dl (0.204) and % CGM < 54 mg/dl (0.217).

CONCLUSION

Older adults with type 2 diabetes have better glycemic control prior to admission and during hospital stay compared to younger adults. Frailty is associated with longer presence of hypoglycemia in non-acute hospital settings.

The role of physical and cognitive/emotional functioning in the associations between common health conditions and working

The degree to which functional abilities explain the negative associations between chronic disease and employment is not well understood. If functional limitations play an important role, then increasing access to accommodations and rehabilitation could facilitate employment among people with chronic illness. If not, other barriers related to living with chronic illness may be at play, calling for other interventions. The goal of this study was to 1) assess how health conditions were associated with employment for adults ages 30-69, and 2) test how much of these illness-employment associations was explained by physical and cognitive/emotional functioning. We fielded the state-of-the-art Work Disability Functional Assessment Battery (WD-FAB) in the nationally-representative RAND American Life Panel (N = 1774) in 2020, stratifying the sample by age and educational attainment. We found that mental health conditions, nervous system/sensory conditions, and cardiovascular conditions were significantly associated with large reductions in the probability of working, at -8, -10, and -19 percentage points (pp) respectively, while there were no significant associations for other conditions. Functional abilities were positively associated with employment to different degrees depending on education. Among those without college degrees, physical functioning (+16 pp) but not cognitive/emotional functioning was significantly associated with working. Among those with college degrees, both physical (+6 pp) and cognitive/emotional (+4 pp) functioning were associated with working. Older workers (ages 51-69) showed a larger association between physical functioning and work with no association between cognitive/emotional functioning and work. Importantly, accounting for functioning reduced the negative associations with employment for mental health and nervous system/sensory conditions but not for cardiovascular conditions. This implies that, for the former conditions, accommodating functional limitations could promote greater employment. However, broader accommodations, such as paid sick leave, increased control over work schedules, and other improvements to working conditions may be necessary to reduce work exits due to cardiovascular conditions.

Direct and indirect costs of heart failure in relation to diabetes status - A nationwide study

BACKGROUND AND AIM

Heart failure (HF) and diabetes mellitus (DM) are burdensome chronic diseases with high lifetime risks and numerous studies indicate associations between HF and DM. The objective of this study was to investigate the direct and indirect costs of HF patients with and without DM.

METHODS AND RESULTS

Patients with a first-time diagnosis of HF from 1998 to 2016 were identified through nationwide Danish registries and stratified according to DM status into HF with or without DM. The economic healthcare cost analysis was based on both direct costs, including hospitalization, procedures, medication and indirect costs including social welfare and lost productivity. The economic burden was investigated prior to, at, and following diagnosis of HF. Patients with concomitant HF and DM were younger (median age 74 vs. 77), had more comorbidities and fewer were female as compared to patients with HF but without DM. The socioeconomic burden of concomitant HF and DM compared to HF alone was substantially higher; 45% in direct costs (€16,237 vs. €11,184), 35% in home care costs (€3123 vs. €2320), 8% in social transfer income (€17,257 vs. €15,994) and they had 27% lower income (€10,136 vs. €13,845). The economic burden peaked at year of diagnosis, but the difference became increasingly pronounced in the years following the HF diagnosis.

CONCLUSION

Patients with concomitant HF and DM had a significantly higher economic burden compared to patients with HF but without DM.

A Literature Review of Productivity Loss Associated with Hypertension in the United States

A literature review of peer-reviewed articles published 2000-2019 was conducted to determine the types and extent of hypertension-associated productivity loss among adults in the United States. All monetary outcomes were standardized to 2019 $ by using the Employment Cost Index. Twenty-seven articles met the inclusion criteria. Nearly half of the articles (12 articles) presented monetary outcomes of productivity loss. Absenteeism (14 articles) and presenteeism (8 articles) were most frequently assessed. Annual absenteeism was estimated to cost more than $11 billion, nationally controlling for sociodemographic characteristics. The annual additional costs per person were estimated at $63 for short-term disability, $72-$330 for absenteeism, and $53-$156 for presenteeism, controlling for participant characteristics; and may be as high as $2362 for absenteeism and presenteeism when considered in combination. The annual additional time loss per person was estimated as 1.3 days for absenteeism, controlling for common hypertension comorbidities, including stroke and diabetes; and 15.6 days for work and home productivity loss combined, controlling for sociodemographic characteristics. The loss from absenteeism alone might be more than 20% of the total medical expenditure of hypertension. Although the differences in estimation methods and study populations make it challenging to synthesize the costs across the studies, this review provides detailed information on the various types of productivity loss. In addition, the ways in which methods could be standardized for future research are discussed. Accounting for the costs from productivity loss can help public health officials, health insurers, employers, and researchers better understand the economic burden of hypertension.

The Lifestyle Profile of Individuals with Cardiovascular and Endocrine Diseases in Cyprus: A Hierarchical, Classification Analysis

The study aims to explore the lifestyle profile of adult individuals with cardiovascular and endocrine diseases in Cyprus. Age and sex-specific analyses were applied. A representative sample of the general adult population was recruited during 2018–2019 using stratified sampling among the five government-controlled municipalities of the Republic of Cyprus. Data on Mediterranean diet adherence, quality of sleep, smoking status, physical activity, Body Mass Index, and the presence of cardiovascular and endocrine diseases were collected using a validated questionnaire. Diseases were classified according to the International Classification of Diseases, Tenth Revision (ICD-10). A total of 1140 men and women over 18 years old (range: 18–94) participated in the study. The prevalence of cardiovascular and endocrine diseases among the adult general population of Cyprus was 24.8% and 17.2%, respectively, with a higher prevalence of cardiovascular diseases in men, and a higher prevalence of endocrine diseases in women. Among individuals with cardiovascular disease, 23.3% were aged between 18–44 years old, while the corresponding percentage among endocrine disease individuals was 48%. The prevalence of smoking, physical activity, a low adherence to the Mediterranean diet, poor quality of sleep and obesity among the study population was 35.5%, 48.0%, 32.9%, 39.0% and 13.6%, respectively. Individuals with cardiovascular and endocrine diseases were characterized by poor quality of sleep, inadequate physical activity, and a higher BMI. This is the first study in Cyprus exploring the profile of individuals with cardiovascular and endocrine diseases in Cyprus. Health promotion and educational programs focusing on the importance of sleep quality, healthier dietary habits, physical activity, and lower BMIs among people with cardiovascular and endocrine diseases should be developed.

Risk of pneumonia in asthmatic children using inhaled corticosteroids: a nested case-control study in a birth cohort

BACKGROUND

Inhaled corticosteroids (ICSs) are important in asthma management, but there are concerns regarding associated risk of pneumonia. While studies in asthmatic adults have shown inconsistent results, this risk in asthmatic children is unclear.

OBJECTIVE

Our aim was to determine the association of ICS use with pneumonia risk in asthmatic children.

METHODS

A nested case-control study was performed in the Mayo Clinic Birth Cohort. Asthmatic children (<18 years) with a physician diagnosis of asthma were identified from electronic medical records of children born at Mayo Clinic from 1997 to 2016 and followed until 31 December 2017. Pneumonia cases defined by Infectious Disease Society of America were 1:1 matched with controls without pneumonia by age, sex and asthma index date. Exposure was defined as ICS prescription at least 90 days prior to pneumonia. Associations of ICS use, type and dose (low, medium and high) with pneumonia risk were analysed using conditional logistic regression.

RESULTS

Of the 2108 asthmatic children eligible for the study (70% mild intermittent and 30% persistent asthma), 312 children developed pneumonia during the study period. ICS use overall was not associated with risk of pneumonia (adjusted OR: 0.94, 95% CI: 0.62 to 1.41). Poorly controlled asthma was significantly associated with the risk of pneumonia (OR: 2.03, 95% CI: 1.35 to 3.05; p<0.001). No ICS type or dose was associated with risk of pneumonia.

CONCLUSION

ICS use in asthmatic children was not associated with risk of pneumonia but poorly controlled asthma was. Future asthma studies may need to include pneumonia as a potential outcome of asthma management.

Multimorbidity patterns among rural adults with Type-2 diabetes mellitus: A cross-sectional study in Kerala, India

Objectives

The study evaluated the prevalence and pattern of multi-morbidity among rural adults with type-2 diabetes mellitus and explored the factors associated with multi-morbidity among 400 adult diabetic patients from rural areas of Thiruvananthapuram district in the Kerala state of India.

Materials and Methods

The presence of multi-morbidity was assessed using a semi-structured interview schedule based on the physician's confirmation. The reported chronic diseases were classified as concordant (conditions with a similar pathophysiologic risk profile as diabetes) and discordant (conditions whose treatments are not directly related to the pathogenesis for diabetes) co-morbidity. Multivariate analysis was done to find the factors associated with multi-morbidity.

Results

Prevalence of multi-morbidity among diabetic patients was 74% (95% Confidence Interval (CI): 69-77), around 66% reported at least one concordant co-morbidity, 30% reported at least one discordant co-morbidity and 21% reported both concordant and discordant co-morbidity with diabetes. Hypertension (59%) was the most frequent co-morbidity. Older adults (above 60 years of age) [Odds Ratio (OR):3.42, 95% CI:1.97-5.94] and women (OR:2.16, CI:1.13-3.51) were more likely to have multi-morbidity compared to their counterparts. Those using insulin and/or oral medication were more likely to have multi-morbidity compared to those using oral medication only (OR: 2.19, CI: 1.07-4.09).

Conclusion

Multi-morbidity among diabetic patients needs to be addressed by a comprehensive and integrated approach rather than a diabetes specific approach.

Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension

BACKGROUND

Type 2 diabetes mellitus (T2DM) and hypertension (HTN), both non-communicable diseases, are leading causes of death globally, with more imbalances in lower middle-income countries. Furthermore, poor treatment and management are known to lead to intensified healthcare utilization and increased medical care costs and impose a significant societal burden, in these countries, including Indonesia. Predicting future clinical outcomes can determine the line of treatment and value of healthcare costs, while ensuring effective patient care. In this paper, we present the prediction of length of stay (LoS) and mortality among hospitalized patients at a tertiary referral hospital in Tasikmalaya, Indonesia, between 2016 and 2019. We also aimed to determine how socio-demographic characteristics, and T2DM- or HTN-related comorbidities affect inpatient LoS and mortality.

METHODS

We analyzed insurance claims data of 4376 patients with T2DM or HTN hospitalized in the referral hospital. We used four prediction models based on machine-learning algorithms for LoS prediction, in relation to disease severity, physician-in-charge, room type, co-morbidities, and types of procedures performed. We used five classifiers based on multilayer perceptron (MLP) to predict inpatient mortality and compared them according to training time, testing time, and Area under Receiver Operative Curve (AUROC). Classifier accuracy measures, which included positive predictive value (PPV), negative predictive value (NPV), F-Measure, and recall, were used as performance evaluation methods.

RESULTS

A Random forest best predicted inpatient LoS (R2, 0.70; root mean square error [RMSE], 1.96; mean absolute error [MAE], 0.935), and the gradient boosting regression model also performed similarly (R2, 0.69; RMSE, 1.96; MAE, 0.935). For inpatient mortality, best results were observed using MLP with back propagation (AUROC 0.899; 69.33 and 98.61 for PPV and NPV, respectively). The other classifiers, stochastic gradient descent with regression loss function, Huber, and random forest models all showed an average performance.

CONCLUSIONS

Linear regression model best predicted LoS and mortality was best predicted using MLP. Patients with primary diseases such as T2DM or HTN may have comorbidities that can prolong inpatient LoS. Physicians play an important role in disseminating health related information. These predictions could assist in the development of health policies and strategies that reduce disease burden in resource-limited settings.

Effect of a smartphone application (Perx) on medication adherence and clinical outcomes: a 12-month randomised controlled trial

OBJECTIVE

To determine whether the Perx app improves medication adherence and clinical outcomes over 12 months compared with standard care in patients requiring polypharmacy.

DESIGN

Randomised controlled trial with 12-month follow-up.

SETTING

Outpatient clinics in three tertiary hospitals in Sydney, Australia.

PARTICIPANTS

Eligible participants were aged 18-75 years, with at least one chronic condition, taking ≥3 different medications (oral medications or injections), with smartphone accessibility. Participants were randomised in a 1:1 ratio.

INTERVENTIONS

The intervention group used the Perx app that contained customised reminders and gamified interactions to reward verified medication adherence.

MAIN OUTCOME MEASURES

The primary outcome was medication adherence over 12 months measured using pill counts. Secondary outcomes included clinical outcomes (haemoglobin A1c (HbA1c), cholesterol, blood glucose, triglycerides, creatinine, thyroid function, blood pressure and weight).

RESULTS

Of 1412 participants screened for eligibility, 124 participants were randomised; 45 in the Perx arm and 40 in the control arm completed the study. The average age was 59.5, 58.9% were women, chronic conditions were cardiovascular disease (78%), type 2 diabetes (75%), obesity (65%) or other endocrine disorders (18%). On average, participants were taking six medications daily. The Perx group had greater improvements in adherence at month 2 (Coef. 8%; 95% CI 0.01 to 0.15), month 3 (Coef. 7%; 95% CI 0.00 to 0.14) and month 12 (Coef. 7%; 95% CI 0.00 to 0.13). The probability of HbA1c ≤6.5% was greater in the Perx group at months 9 and 12 and cholesterol (total and low-density lipoprotein cholesterol) was lower in the Perx group at month 3. The intervention was particularly effective for those with obesity, taking medications for diabetes and taking ≤4 medications.

CONCLUSIONS

This study provides evidence that app-based behavioural change interventions can increase medication adherence and produce longer-term improvements in some clinical outcomes in adults managing multimorbidity. More trials are needed to build the evidence base.

TRIAL REGISTRATION NUMBER

ACTRN12617001285347.

Demographic stratification of Type 2 diabetes and comorbidities in district healthcare in KwaZulu-Natal

Background

Diabetes has been reported as the second leading cause of death and the top leading cause of death amongst women in South Africa; it is important to evaluate any epidemiological or demographic transition related to diabetes. This study evaluated the demographically stratified prevalence of type 2 diabetes mellitus (T2DM) and existing comorbidities amongst an outpatient population in a district healthcare facility in Kwazulu-Natal (KZN).

Methods

This retrospective cross-sectional study was conducted at a district hospital, and a retrospective record review of all outpatients who reported to the hospital to be treated for T2DM between the period, August 2018–January 2019, was used. Data, such as age, sex, ethnicity and any coexisting morbidity, were collected from outpatient hospital registers and electronically captured using a record review tool.

Results

There were significantly more female patients (3072) compared to male patients (1050) (p < 0.001) with a mean age of 59.21 years. Hypertension (77.9%) and cardiovascular problems (11.16%) were most frequent. Approximately 84% of women presented with T2DM and either one or two morbidities simultaneously. Female patients were at significantly higher risk of presenting with hypertension (odds ratio [OR] = 1.44, 95% confidence interval [CI]: 1.20;1.71), whilst their risk for cardiovascular problems was significantly lower compared to male patients (OR = 0.67, 95% CI: 0.54;0.83).

Conclusion

The prevalence of T2DM and comorbidities differed by demographic factors, such as sex, ethnicity and age. There is a need for flexible and adaptive approaches for the prevention and management of T2DM cases in order to allocate medical resources efficiently and according to the true burden of disease because of T2DM complications.

Clinical features related to hospital expenses for non-cystic fibrosis bronchiectasis in China

Objective

Bronchiectasis is a common chronic airway disease. We investigated the economic burden and associated factors of bronchiectasis in China.

Methods

In this multicenter retrospective cohort study, we reviewed medical records of patients admitted to 18 tertiary hospitals during 2010 to 2014 with a bronchiectasis-related diagnosis.

Results

A total 5469 patients with bronchiectasis were admitted, accounting for 3.13% ± 1.80% of all discharged patients with any diagnosis during the same period; 13 patients died upon discharge. The median hospitalization cost was RMB 8421.52 (RMB 5849.88–12,294.47). Risk factors associated with hospitalization costs included age at admission (>70 vs. <40 years, odds ratio (OR) = 1.221, 95% confidence interval (CI) = 1.082–1.379; >80 vs. <40 years, OR = 1.251, 95% CI = 1.089–1.438), smoking (≤15 packs/year vs. non-smokers, OR = 1.125, 95% CI = 1.006–1.271; >15 packs/year vs. non-smokers, OR = 1.127, 95% CI = 1.062–1.228), length of hospitalization (OR = 1.05, 95% CI = 1.046–1.054), combination antibiotic treatment (OR = 1.089, 95% CI = 1.033–1.148), cough (OR = 0.851, 95% CI = 0.751–0.965), dyspnea (OR = 0.93, 95% CI = 0.878–0.984), chronic obstructive pulmonary disease (OR = 0.935, 95% CI = 0.878–0.996), respiratory failure (OR = 0.923, 95% CI = 0.862–0.989), cor pulmonale (OR = 0.919, 95% CI = 0.859–0.982), and death (OR = 1.816, 95% CI = 1.113–2.838).

Conclusions

Age, smoking status, symptoms, and respiratory comorbidities were associated with hospitalization costs of bronchiectasis.

Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation

Background

Diabetes is a medical and economic burden in the United States. In this study, a machine learning predictive model was developed to predict unplanned medical visits among patients with diabetes, and findings were used to design a clinical intervention in the sponsoring healthcare organization. This study presents a case study of how predictive analytics can inform clinical actions, and describes practical factors that must be incorporated in order to translate research into clinical practice.

Methods

Data were drawn from electronic medical records (EMRs) from a large healthcare organization in the Northern Plains region of the US, from adult (≥ 18 years old) patients with type 1 or type 2 diabetes who received care at least once during the 3-year period. A variety of machine-learning classification models were run using standard EMR variables as predictors (age, body mass index (BMI), systolic blood pressure (BP), diastolic BP, low-density lipoprotein, high-density lipoprotein (HDL), glycohemoglobin (A1C), smoking status, number of diagnoses and number of prescriptions). The best-performing model after cross-validation testing was analyzed to identify strongest predictors.

Results

The best-performing model was a linear-basis support vector machine, which achieved a balanced accuracy (average of sensitivity and specificity) of 65.7%. This model outperformed a conventional logistic regression by 0.4 percentage points. A sensitivity analysis identified BP and HDL as the strongest predictors, such that disrupting these variables with random noise decreased the model’s overall balanced accuracy by 1.3 and 1.4 percentage points, respectively. These recommendations, along with stakeholder engagement, behavioral economics strategies, and implementation science principles helped to inform the design of a clinical intervention targeting behavioral changes.

Conclusion

Our machine-learning predictive model more accurately predicted unplanned medical visits among patients with diabetes, relative to conventional models. Post-hoc analysis of the model was used for hypothesis generation, namely that HDL and BP are the strongest contributors to unplanned medical visits among patients with diabetes. These findings were translated into a clinical intervention now being piloted at the sponsoring healthcare organization. In this way, this predictive model can be used in moving from prediction to implementation and improved diabetes care management in clinical settings.

College student sleep quality and mental and physical health are associated with food insecurity in a multi-campus study

Objective:

To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.

Design:

An online survey was administered. Food insecurity was assessed using the ten-item Adult Food Security Survey Module. Sleep was measured using the nineteen-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health.

Setting:

Twenty-two higher education institutions.

Participants:

College students (n 17 686) enrolled at one of twenty-two participating universities.

Results:

Compared with food-secure students, those classified as food insecure (43·4 %) had higher PSQI scores indicating poorer sleep quality (P < 0·0001) and reported more days with poor mental (P < 0·0001) and physical (P < 0·0001) health as well as days when mental and physical health prevented them from completing daily activities (P < 0·0001). Food-insecure students had higher adjusted odds of having poor sleep quality (adjusted OR (AOR): 1·13; 95 % CI 1·12, 1·14), days with poor physical health (AOR: 1·01; 95 % CI 1·01, 1·02), days with poor mental health (AOR: 1·03; 95 % CI 1·02, 1·03) and days when poor mental or physical health prevented them from completing daily activities (AOR: 1·03; 95 % CI 1·02, 1·04).

Conclusions:

College students report high food insecurity which is associated with poor mental and physical health, and sleep quality. Multi-level policy changes and campus wellness programmes are needed to prevent food insecurity and improve student health-related outcomes.

Economic burden of asthma in Singapore

Background and objective

Up-to-date economic burden of asthma in Singapore is currently unknown.

Methods

We quantify the per capita and total annual costs of asthma for adults and children by level of symptom control (uncontrolled, partly controlled, and well controlled) via a cross-sectional online survey administered to a national web panel. Participants were asked about healthcare utilisation, days missed from work, and reduced productivity due to their symptoms. These values were then monetised and multiplied by prevalence estimates of adult and child asthmatics to generate total costs.

Results

A total of 300 adults and 221 parents of children with asthma were included in analysis. The total annual cost of adult asthma was estimated to be SGD 1.74 billion (US$1.25 billion) with 42% coming from the uncontrolled group, 45% from the partly controlled group, and 13% from the well-controlled group. For children, the total cost is SGD 0.35 billion (US$0.25 billion), with 64%, 26% and 10% coming from each group respectively. Combined, the annual economic burden of asthma in Singapore is SGD 2.09 billion (US$1.50 billion) with 79% due to productivity losses.

Conclusion

Poorly controlled asthma imposes a significant economic burden. Therefore, better control of disease has the potential to generate not only health improvements, but also medical expenditure savings and productivity gains.

Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records

Background

Comorbid chronic conditions are common among people with type 2 diabetes. We developed an artificial intelligence algorithm, based on reinforcement learning (RL), for personalized diabetes and multimorbidity management, with strong potential to improve health outcomes relative to current clinical practice.

Methods

We modeled glycemia, blood pressure, and cardiovascular disease (CVD) risk as health outcomes, using a retrospective cohort of 16,665 patients with type 2 diabetes from New York University Langone Health ambulatory care electronic health records in 2009–2017. We trained an RL prescription algorithm that recommends a treatment regimen optimizing patients’ cumulative health outcomes using their individual characteristics and medical history at each encounter. The RL recommendations were evaluated on an independent subset of patients.

Results

The single-outcome optimization RL algorithms, RL–glycemia, RL–blood pressure, and RL–CVD, recommended consistent prescriptions as that observed by clinicians in 86.1%, 82.9%, and 98.4% of the encounters, respectively. For patient encounters in which the RL recommendations differed from the clinician prescriptions, significantly fewer encounters showed uncontrolled glycemia (A1c > 8% in 35% of encounters), uncontrolled hypertension (blood pressure > 140 mmHg in 16% of encounters), and high CVD risk (risk > 20% in 25% of encounters) under RL algorithms compared with those observed under clinicians (43%, 27%, and 31% of encounters, respectively; all p < 0.001).

Conclusions

A personalized RL prescriptive framework for type 2 diabetes yielded high concordance with clinicians’ prescriptions, and substantial improvements in glycemia, blood pressure, and CVD risk outcomes.

Electronic supplementary material

The online version of this article (10.1007/s40265-020-01435-4) contains supplementary material, which is available to authorized users.

Comparison Between Automated Office Blood Pressure Measurements and Manual Office Blood Pressure Measurements-Implications in Individual Patients: a Systematic Review and Meta-analysis

PURPOSE OF REVIEW

Automated office blood pressure (AOBP) measurements may provide more accurate estimation of blood pressure (BP) than manual office blood pressure (MOBP) measurements. This systematic review investigated the diagnostic performance of AOBP and MOBP using ambulatory blood pressure measurement (ABPM) as reference. Several databases including MEDLINE, Embase, Scopus, and China Academic Journals were searched. Data were extracted, double-checked by two investigators, and were analysed using a random effects model.

RECENT FINDINGS

A total of 26 observational studies were included. The mean systolic/diastolic BP obtained by AOBP was not significantly different from that obtained by ABPM. The sensitivity and specificity of AOBP to detect elevated BP were approximately 70%. Fewer participants had white-coat hypertension on AOBP measurement than on MOBP measurement (7% versus 14%); however, about 13% had masked hypertension on AOBP measurement. The width of the limit of agreement comparing (i) AOBP and ABPM and (ii) MOBP and ABPM was comparable. AOBP may reduce the rate of the observed white-coat effect but undermine masked hypertension. The current recommendation, however, is limited by the absence of high-quality studies and the high heterogeneity of our results. More high-quality studies using different AOBP machines and in different population are therefore needed.

Prevalence of comorbidities and their associated factors in patients with type 2 diabetes at a tertiary care department in Ningbo, China: a cross-sectional study

OBJECTIVES

To determine the prevalence of comorbidities in patients with type 2 diabetes mellitus (T2DM) and identify the factors independently associated with comorbidities in a tertiary care department in Ningbo, China.

DESIGN

A computerised medical records database was used to conduct a cross-sectional study.

SETTING

The study was conducted in a tertiary care department in Ningbo, China.

PARTICIPANTS

The study was conducted on adult patients with T2DM, and it included 8 years of data, from 1 January 2012 to 31 December 2019.

THE PRIMARY OUTCOME MEASURE

Comorbidity was defined as the coexistence of at least one other chronic condition, that is, either a physical non-communicable disease (duration ≥3 months), a mental health condition (duration ≥3 months) or an infectious disease (duration ≥3 months).

RESULTS

In total, 4777 patients with T2DM satisfied the eligibility criteria. Over 8 years, the prevalence of comorbidities was 93.7%. The odds of comorbidities increased with the age of patients (18 to 39 years: 1; 40 to 59 years: OR 2.80, 95% CI 1.98 to 3.96; 60 to 69 years: OR 4.43, 95% CI 3.04 to 6.44; and ≥70 years: OR 10.97, 95% CI 7.17 to 16.77). The odds were lower in female patients (OR 0.66, 95% CI 0.51 to 0.84), patients residing in rural areas (OR 0.75, 95% CI 0.59 to 0.95) and patients without health insurance (OR 0.62, 95% CI 0.46 to 0.83). The odds were higher in single/divorced/widowed patients compared with those in married patients (OR 1.95, 95% CI 1.21 to 3.12).

CONCLUSIONS

A large percentage of patients with T2DM in the tertiary care department in Ningbo, China, had comorbidities, and the factors associated with comorbidities were identified. The findings could be used in developing, evaluating and implementing interventions aimed at improving outcomes in patients with T2DM with comorbidities.

Use of Data-Driven Methods to Predict Long-term Patterns of Health Care Spending for Medicare Patients

Importance

Current approaches to predicting health care costs generally rely on a single composite value of spending and focus on short time horizons. By contrast, examining patients' spending patterns using dynamic measures applied over longer periods may better identify patients with different spending and help target interventions to those with the greatest need.

Objective

To classify patients by their long-term, dynamic health care spending patterns using a data-driven approach and assess the ability to predict spending patterns, particularly using characteristics that are potentially modifiable through intervention.

Design, Setting, and Participants

This cohort study used a retrospective cohort design from a random nationwide sample of Medicare fee-for-service administrative claims data to identify beneficiaries aged 65 years or older with continuous eligibility from 2011 to 2013. Statistical analysis was performed from August 2018 to December 2019.

Main Outcomes and Measures

Group-based trajectory modeling was applied to the claims data to classify the Medicare beneficiaries by their total health care spending patterns over a 2-year period. The ability to predict membership in each trajectory spending group was assessed using generalized boosted regression, a data mining approach to model building and prediction, with split-sample validation. Models were estimated using (1) prior-year predictors and (2) prior-year predictors potentially modifiable through intervention measured in the claims data. These models were evaluated using validated C-statistics. The relative influence of individual predictors in the models was evaluated.

Results

Among the 329 476 beneficiaries, the mean (SD) age was 76.0 (7.2) years and 190 346 (57.8%) were female. This final 5-group model included a minimal-user group (group 1, 37 572 individuals [11.4%]), a low-cost group (group 2, 48 575 individuals [14.7%]), a rising-cost group (group 3, 24 736 individuals [7.5%]), a moderate-cost group (group 4, 83 338 individuals [25.3%]), and a high-cost group (group 5, 135 255 individuals [41.2%]). Potentially modifiable characteristics strongly predicted these patterns (C-statistics range: 0.68-0.94). For groups with progressively increasing spending in particular, the most influential factors were number of medications (relative influence: 29.2), number of office visits (relative influence: 30.3), and mean medication adherence (relative influence: 33.6).

Conclusions and Relevance

Using a data-driven approach, distinct spending patterns were identified with high accuracy. The potentially modifiable predictors of membership in the rising-cost group represent important levers for early interventions that may prevent later spending increases. This approach could be adapted by organizations to target quality improvement interventions, particularly because numerous health care organizations are increasingly using these routinely collected data.

Prevalence of comorbidities in patients with type-2 diabetes mellitus

AIMS

The prevalence of diabetes mellitus is gradually increasing in Turkey and it is becoming a serious public health problem. Other diseases which accompany diabetes becloud its treatment and bring additional problems. Until now, there have been no studies investigating the prevalence of co-morbidities in Turkish diabetic patients. With this study, we aimed to resolve the deficiency on this subject.

METHODS

This cross-sectional descriptive epidemiological study was conducted between 2018 and 2019. Patients who had been regularly admitted to our diabetes center in the past 3 years were included in this study. Co-morbidities including hypertension, hyperlipidemia, obesity, coronary heart disease, cerebrovascular disease, diabetic retinopathy, and diabetic nephropathy were investigated. Factors relating to these co-morbidities were assessed.

RESULTS

After exclusion from analysis, 1024 patients were included in the study. The female/male ratio was found to be 1.7. The mean age of these patients was 69.3 ± 9.8. The mean diabetes duration was 22.2 ± 7.0. The most common co-morbidities were hypertension and hyperlipidemia by the rate of 84.9% and 65.6%. Obesity prevalence was 54.4%, nephropathy was 36.6%, coronary heart disease 22.8%, retinopathy 18.5% and stroke prevalence was found to be 4.8%. Age, diabetes duration and insulin usage were found to be significantly related to all co-morbidities.

CONCLUSIONS

This study is significant in that it is the widest Turkish diabetic co-morbidity analysis study to date. When compared to other worldwide studies, co-morbidities were seen to be a little bit higher in Turkish diabetic patients. Clinicians need to not only focus on anti-diabetic treatment but also on other co-morbidities in terms of decreasing mortality and morbidity.

Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes

BACKGROUND

Diabetes is a leading cause of Medicare spending; predicting which individuals are likely to be costly is essential for targeting interventions. Current approaches generally focus on composite measures, short time-horizons, or patients who are already high utilizers, whose costs may be harder to modify. Thus, we used data-driven methods to classify unique clusters in Medicare claims who were initially low utilizers by their diabetes spending patterns in subsequent years and used machine learning to predict these patterns.

METHODS

We identified beneficiaries with type 2 diabetes whose spending was in the bottom 90% of diabetes care spending in a one-year baseline period in Medicare fee-for-service data. We used group-based trajectory modeling to classify unique clusters of patients by diabetes-related spending patterns over a two-year follow-up. Prediction models were estimated with generalized boosted regression, a machine learning method, using sets of all baseline predictors, diabetes predictors, and predictors that are potentially-modifiable through interventions. Each model was evaluated through C-statistics and 5-fold cross-validation.

RESULTS

Among 33,789 beneficiaries (baseline median diabetes spending: $4153), we identified 5 distinct spending patterns that could largely be predicted; of these, 68.1% of patients had consistent spending, 25.3% had spending that rose quickly, and 6.6% of patients had spending that rose progressively. The ability to predict these groups was moderate (validated C-statistics: 0.63 to 0.87). The most influential factors for those with progressively rising spending were age, generosity of coverage, prior spending, and medication adherence.

CONCLUSIONS

Patients with type 2 diabetes who were initially low spenders exhibit distinct subsequent long-term patterns of diabetes spending; membership in these patterns can be largely predicted with data-driven methods. These findings as well as applications of the overall approach could potentially inform the design and timing of diabetes or cost-containment interventions, such as medication adherence or interventions that enhance access to care, among patients with type 2 diabetes.

A New Paradigm for Addressing Health Disparities in Inner-City Environments: Adopting a Disaster Zone Approach

Inner cities are characterized by intergenerational poverty, limited educational opportunities, poor health, and high levels of segregation. Human capital, defined as the intangible, yet integral economically productive aspects of individuals, is limited by factors influencing inner-city populations. Inner-city environments are consistent with definitions of disasters causing a level of suffering that exceeds the capacity of the affected community. This article presents a framework for improving health among inner-city populations using a multidisciplinary approach drawn from medicine, economics, and disaster response. Results from focus groups and photovoice conducted in Milwaukee, WI are used as a case study for a perspective on using this approach to address health disparities. A disaster approach provides a long-term focus on improving overall health and decreasing health disparities in the inner city, instead of a short-term focus on immediate relief of a single symptom. Adopting a disaster approach to inner-city environments is an innovative way to address the needs of those living in some of the most marginalized communities in the country.

"Not Alone Anymore": The Experiences of Adults With Diabetes in New York's Medicaid Health Home Program

BACKGROUND

New York State Medicaid's Health Home program is an example of a natural experiment that could affect individuals with diabetes. While evaluations of interventions such as the Health Home program are generally based solely on clinical and administrative data and rarely examine patients' experience, patients may add to the understanding of the intervention's implementation and mechanisms of impact.

OBJECTIVE

The objective of this study was to qualitatively examine the health and nonmedical challenges faced by Medicaid-insured patients with diabetes and their experiences with the services provided by New York's Health Homes to address these challenges.

RESEARCH DESIGN

We performed 10 focus groups and 23 individual interviews using a guide developed in collaboration with a stakeholder board. We performed a thematic analysis to identify cross-cutting themes.

SUBJECTS

A total of 63 Medicaid-insured individuals with diabetes, 31 of whom were enrolled in New York's Health Home program.

RESULTS

While participants were not generally familiar with the term "Health Home," they described and appreciated services consistent with Health Home enrollment delivered by care managers. Services addressed challenges in access to care, especially by facilitating and reminding participants about appointments, and nonmedical needs, such as transportation, housing, and help at home. Participants valued their personal relationships with care managers and the psychosocial support they provided.

CONCLUSIONS

From the perspective of its enrollees, the Health Home program primarily addressed access to care, but also addressed material and psychosocial needs. These findings have implications for Health Home entities and for research assessing their impact.

Impact of Incident Cancer on Short-Term Coronary Artery Disease-Related Healthcare Expenditures Among Medicare Beneficiaries

Background: Healthcare spending for coronary artery disease (CAD)-related services is higher than for other chronic conditions. Diagnosis of incident cancer may impede management of CAD, thereby increasing the risk of CAD-related complications and associated healthcare expenditures. This study examined the relationship between incident cancer and CAD-related expenditures among elderly Medicare beneficiaries. Patients and Methods: A retrospective longitudinal study was conducted using the SEER-Medicare linked registries and a 5% noncancer random sample of Medicare beneficiaries. Elderly fee-for-service Medicare beneficiaries with preexisting CAD and with incident breast, colorectal, or prostate cancer (N=12,095) or no cancer (N=34,237) were included. CAD-related healthcare expenditures comprised Medicare payments for inpatient, home healthcare, and outpatient services. Expenditures were measured every 120 days during the 1-year preindex and 1-year postindex periods. Adjusted relationship between incident cancer and expenditures was analyzed using the generalized linear mixed models. Results: Overall, CAD-related mean healthcare expenditures in the preindex period accounted for approximately 32.6% to 39.5% of total expenditures among women and 41.5% to 46.8% among men. All incident cancer groups had significantly higher CAD-related expenditures compared with noncancer groups (P<.0001). Men and women with colorectal cancer (CRC) had 166% and 153% higher expenditures, respectively, compared with their noncancer counterparts. Furthermore, men and women with CRC had 57% and 55% higher expenditures compared with those with prostate or breast cancer, respectively. Conclusions: CAD-related expenditures were higher for elderly Medicare beneficiaries with incident cancer, specifically for those with CRC. This warrants the need for effective programs and policies to reduce CAD-related expenditures. Close monitoring of patients with a cancer diagnosis and preexisting CAD may prevent CAD-related events and expenditures.

Type 2 Diabetes and Chronic Conditions Disparities in Medicare Beneficiaries in the State of Michigan

BACKGROUND

This study aimed to describe the prevalence of type 2 diabetes and combinations of multiple chronic conditions (MCCs) that are leading causes of death (LCD) and confirm that disparities exist between groups based on race and sex.

MATERIALS AND METHODS

We conducted a retrospective cohort study using 2012 Medicare claims data from beneficiaries with type 2 diabetes over the age of 65 in the state of Michigan.

RESULTS

Female beneficiaries have type 2 diabetes and 1 or more MCCs that are LCD more often than males. Most type 2 diabetes patients have diabetes alone without MCCs, while a large proportion have at least 1 additional chronic condition that is a LCD. One in 3 patients have 3 or more chronic conditions. The most prevalent type 2 diabetes coexisting MCCs are congestive heart failure (CHF), chronic obstructive pulmonary disease and chronic kidney disease. Asian/Pacific Islanders have the highest prevalence of type 2 diabetes without MCCs, and the highest prevalence of diabetes plus CHF. While fewer black beneficiaries have diabetes alone or 1 additional MCC, the prevalence of 3 or more MCCs in blacks generally exceeds the prevalence in other races. In beneficiaries with newly diagnosed type 2 diabetes, chronic obstructive pulmonary disease and CHF are the first new chronic conditions to be diagnosed after an initial type 2 diabetes diagnosis.

CONCLUSIONS

Race and sex disparities occur in the prevalence of type 2 diabetes and MCCs that are LCD in Medicare beneficiaries in the state of Michigan.

Peer-Delivered Cognitive Behavioral Training to Improve Functioning in Patients With Diabetes: A Cluster-Randomized Trial

PURPOSE

Cognitive behavioral therapy (CBT)-based programs delivered by trained community members could improve functioning and pain in individuals who lack access to such programs. We tested the effectiveness of a peer-delivered diabetes self-management program integrating CBT principles in improving physical activity, functional status, pain, quality of life (QOL), and health outcomes in individuals with diabetes and chronic pain.

METHODS

In this community-based, cluster-randomized controlled trial, intervention participants received a 3-month, peer-delivered, telephone-administered program. Attention control participants received a peer-delivered general health advice program. Outcomes were changes in functional status and pain (Western Ontario and McMaster Universities Osteoarthritis Index), QOL (Short Form 12), and physiologic measures (hemoglobin A_1c, systolic blood pressure, body mass index); physical activity was the explanatory outcome.

RESULTS

Of 195 participants with follow-up data, 80% were women, 96% African Americans, 74% had annual income <$20,000, and 64% had high school education or less. At follow-up, compared with controls, intervention participants had greater improvement in functional status (-10 ± 13 vs -5 ± 18, P = .002), pain (-10.5 ± 19 vs -4.8 ± 21, P = .01), and QOL (4.8 ± 8.8 vs 3.8 ± 8.8, P = .001). Physiologic measures did not change significantly in either group. At 3 months, a greater proportion of intervention than control participants reported no pain or did other forms of exercise when pain prevented them from walking for exercise.

CONCLUSION

This peer-delivered CBT-based intervention improved functioning, pain, QOL, and self-reported physical activity despite pain in individuals with diabetes and chronic pain. Trained community members can deliver effective CBT-based interventions in rural and under-resourced communities.

Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images

Deep learning and, specifically, convoltional neural networks (CNN) represent a class of powerful models that facilitate the understanding of many problems in computer vision. When combined with a reasonable amount of data, CNNs can outperform traditional models for many tasks, including image classification. In this work, we utilize these powerful tools with imagery data collected through Google Street View images to perform virtual audits of neighborhood characteristics. We further investigate different architectures for chronic disease prevalence regression through networks that are applied to sets of images rather than single images. We show quantitative results and demonstrate that our proposed architectures outperform the traditional regression approaches.

Trends in Treatment and Spending for Patients Receiving Outpatient Treatment of Depression in the United States, 1998-2015

CONTEXT

After marked increases from 1987 to 1997, trends in depression treatment in the United States increased modestly from 1998 to 2007. However, multiple policy changes that expanded insurance coverage for mental health conditions may have shifted these trends again since 2007.

OBJECTIVE

To examine national trends in outpatient treatment of depression from 1998 to 2015, with particular focus on 2007 to 2015.

DESIGN, SETTING, AND PARTICIPANTS

This analysis of the use of health services and spending for treatment of depression in the United States assessed data from the 1998 (n = 22 953), 2007 (n = 29 370), and 2015 (n = 33 893) Medical Expenditure Panel Surveys (MEPSs). Participants included respondent households to the nationally representative survey. Data were analyzed from June 15 through December 18, 2018.

MAIN OUTCOMES AND MEASURES

Rates of outpatient and pharmaceutical treatment of depression; counts of outpatient visits, psychotherapy visits, and prescriptions; and expenditures.

RESULTS

The analysis included 86 216 individuals from the 1998, 2007, and 2015 MEPSs. Respondents' mean (SD) age was 37.2 (22.7) years; 45 086 (52.3%) were female, 24 312 (28.2%) were Hispanic, 15 463 (17.9%) were black, and 62 926 (72.9%) were white. Rates of outpatient treatment of depression increased from 2.36 (95% CI, 2.12-2.61) per 100 population in 1998 to 3.47 (95% CI, 3.16-3.79) per 100 population in 2015. The proportion of respondents who were treated for depression using psychotherapy decreased from 53.7% (95% CI, 48.3%-59.1%) in 1998 to 43.2% (95% CI, 39.0%-47.4%) in 2007 and then increased to 50.4% (95% CI, 46.0%-54.9%) in 2015, whereas the proportion receiving pharmacotherapy remained steady at 81.9% (95% CI, 77.9%-85.9%) in 1998, 82.4% (95% CI, 79.3%-85.4%) in 2007, and 80.8% (95% CI, 77.9%-83.7%) in 2015. After adjusting for inflation using 2015 US dollars, prescription expenditures for these individuals decreased from $848 (95% CI, $713-$984) per year in 1998 to $603 (95% CI, $484-$722) per year in 2015, whereas the mean number of prescriptions decreased from 7.64 (95% CI, 6.61-8.67) in 1998 to 7.03 (95% CI, 6.51-7.56) in 2015. National expenditures for outpatient treatment of depression increased from $12 430 000 000 in 1997 to $15 554 000 000 in 2007 and then to $17 404 000 000 in 2015, consistent with a slowing growth in national outpatient expenditures for depression. The percentage of this spending that came from self-pay (uninsured) individuals decreased from 32% in 1998 to 29% in 2007 and then to 20% in 2015. This decrease was largely associated with increasing Medicaid coverage, because the percentage of this spending covered was 19% in 1998, 15% in 2007, and 36% in 2015.

CONCLUSIONS AND RELEVANCE

Recent policy changes that increased insurance coverage for depression may be associated with reduced uninsured burden and with modest increases in the prevalence of and overall spending for outpatient treatment of depression. The lower-than-expected rate of treatment suggests that substantial barriers remain to individuals receiving treatment for their depression.

An Overview and Proposed Research Framework for Studying Co-Occurring Mental- and Physical-Health Dysfunction

Mental- and physical-health conditions co-occur at a rate much higher than chance. Of patients who have a mental-health condition, more than half also have a physical disease, and these cases are associated with increased human suffering and societal cost. Comorbidity research to date has focused on co-occurring mental- and physical-health disorders separately, and relatively little research has examined the co-occurrence of mental- and physical-health dysfunction. In addition, even less is known about why mental- and physical-health dysfunction co-occurs or how to treat these cases. Thus, the aims of this article are to highlight the need for research at the intersection of physical- and mental-health dysfunction and to provide guidance on how to research cases of comorbidity. Toward these ends, we begin by presenting a selective overview of the possible role of biological processes in the co-occurrence of physical- and mental-health dysfunction using specific illustrative examples. Specifically, we outline how biological processes within the immune system and gastrointestinal system could underlie depression, irritable bowel syndrome, and their co-occurrence. We then advance and discuss a proposed research framework, including methodological and analytic guidance, that researchers could use when studying the phenomenon of co-occurring physical- and mental-health dysfunction.

A randomized control trial of primary care-based management of type 2 diabetes by a pharmacist in Pakistan

Background

The role of a pharmacist in primary health care settings of Pakistan is still obscure. Thus, we aimed to demonstrate the pharmacist-led improvements in glycemic, blood pressure and lipid controls in type 2 diabetes mellitus (T2DM) patients of Lahore, Pakistan.

Methods

The first open label, randomized control trial conducted at a primary health care facility of Lahore, Pakistan by enrolling 244 uncontrolled type 2 diabetes (hemoglobin A1 c, (HbA1c); 10.85 ± 1.74) patients. The pharmacological intervention included identification of drug related problems, drug interactions, change in dose, frequency and therapy switches in collaboration with physician, while non-pharmacological intervention consisted of diet, lifestyle and behavior counseling. Outcome measures were glycemic (HbA1c), blood pressure and lipid controls.

Results

In intra-group comparison, compared to control arm (C, n = 52), subjects in the intervention arm (I, n = 83) demonstrated significant differences in process outcome measures; baseline vs final, such as HbA1c (C; 10.3 ± 1.3 vs 9.7 ± 1.3, p <  0.001, I; 10.9 ± 1.7 vs 7.7 ± 0.9, p <  0.0001), systolic blood pressure (SBP) (C; 129.9 ± 13.9 vs 136 ± 7.1, p = 0.0001, I; 145 ± 20.4 vs 123.9 ± 9.9 mmHg, p <  0.0001), diastolic blood pressure (DBP) (C; + 4, p = 0.03, I; − 7 mmHg, p <  0.0001), cholesterol (C; 235.8 ± 57.7 vs 220.9 ± 53.2, p = 0.15, I; 224 ± 55.2 vs 153 ± 25.9 mg/dL, p < 0.0001), triglycerides (C; 213.2 ± 86.6 vs 172.4 ± 48.7, p = 0.001, I; 273 ± 119.4 vs 143 ± 31.6 mg/dL, p < 0.0001) and estimated glomerular filtration rate (eGFR) (C; 77.5 ± 18.6 vs 76 ± 14.2, p = 0.5, I; 69.4 ± 21.3 vs 93.8 ± 15.2 ml/min/1.73m², p < 0.0001). Likewise, inter-group improvements were more significant in the subjects of intervention group at final follow up in comparison to control for various process outcome measures; HbA1c (p < 0.001), SBP (p < 0.0001), DBP (p = 0.02), cholesterol (p < 0.0001), triglycerides (p < 0.0001), SCr (p < 0.001), eGFR (p < 0.001). Moreover, both male and female subjects exhibited similar responses towards intervention with similar improvements in outcome measures.

Conclusion

These data suggested that pharmacist intervention in collaboration with physician in primary health care settings may result in significant improvements in glycemic, blood pressure and lipid controls in Pakistani population.

Trial registration

The trial was registered retrospectively with International Standard Registered Clinical/soCial sTudy Number (ISRCTN) registry on July 26, 2017 under nutritional, metabolic, endocrine category with assigned registration # ISRCTN22657497 and can be assessed at 10.1186/ISRCTN22657497

Electronic supplementary material

The online version of this article (10.1186/s12913-019-4274-z) contains supplementary material, which is available to authorized users.

A challenge to all. A primer on inter-country differences of high-need, high-cost patients

BACKGROUND

Across countries, a small group of patients accounts for the majority of health care spending. These patients are more likely than other patients to experience problems with quality and safety in their care, suggesting that efforts targeting efficiency and quality among this population might have significant payoffs for health systems. Better understanding of similarities and differences in patient characteristics and health care use in different countries may ultimately inform further efforts to improve care for HNHC patients in these health systems.

METHODS

We conducted a cross-sectional descriptive study using one year of patient-level data on high-cost patients in seven high-income OECD member countries. Countries were selected based on availability of detailed information (large enough samples of claims, administrative, and survey data of high-cost patients). We studied concentration of spending among high-cost patients, characteristics of high-cost patients, and per capita spending on high-cost patients.

FINDINGS

Cost-concentration of the top 5% of patients varied across countries, from 41% in Japan to 60% in Canada, driven primarily by variation in the top 1% of spenders. In general, high-cost patients were more likely to be female (57.7% on average), had a significant number of multi-morbidities (up to on average 10 major diagnostic categories (ICD chapters), and had a lower socioeconomic status. Characteristics of high-cost patients varied as well: median age ranged from 62 in the Netherlands to 75 in Germany and the difference in socioeconomic status is particularly stark in the US. Lastly, utilization, particularly for inpatient care, varied with an average number of inpatient days ranging from 6.6 nights (US) to 97.7 nights in Japan.

INTERPRETATION

In this descriptive study, there is substantial variation in the cost concentration, characteristics, and per capita spending on high-cost patient populations across high-income countries. Differences in the way that health systems are structured likely explains some of this variation, which suggests the potential of cross-system learning opportunities. Our findings highlight the need for further studies including comparable performance metrics and institutional analysis.

Quantifying Social Reinforcement Among Family Members on Adherence to Medications for Chronic Conditions: a US-Based Retrospective Cohort Study

BACKGROUND

More than 50% of patients are non-adherent to medications, often without an easily identifiable reason to clinicians. No study has quantified the extent to which health behaviors like medication-taking are correlated within families using national or routinely collected data for a range of conditions.

OBJECTIVE

To examine how an individual's health behaviors are influenced by those of their family members, particularly in adherence to medications for chronic conditions.

DESIGN

Retrospective cohort study.

PATIENTS

Using claims from a large nationwide insurer, we identified patients initiating medications for one of five chronic conditions with a family member who also recently filled one of these medications.

MAIN MEASURES

The primary exposure was whether family members were fully adherent (defined as a proportion of days covered ≥ 80%) before the patient's date of initiation. The outcome of interest was whether patients were fully adherent in the 12 months after initiation. Baseline demographic and clinical characteristics were also measured before initiation. We used multivariable modified Poisson regression to examine the association between prior family adherence and subsequent patient adherence.

KEY RESULTS

Among 254,144 patients, rates of full adherence among patients whose family members were and were not fully adherent were 37.3% and 26.9%, respectively (adjusted relative risk [aRR] 1.29, 95%CI 1.28-1.31). The association was stronger when both used cardiometabolic medications (aRR 1.35, 95%CI 1.32-1.37). Similarly, patients were also 38% more likely to be adherent if they and their family members used a medication for the same condition (aRR 1.38, 95%CI 1.35-1.40).

CONCLUSIONS

Adherence among family members appeared to be highly correlated, suggesting positive reinforcement by family or the sharing of unmeasured behaviors or characteristics associated with better adherence. Regardless, information about prior adherence among family members from routinely collected data could potentially inform adherence prediction or intervention efforts.

Progression of Aphasia Severity in the Chronic Stages of Stroke

Background and Purpose The severity of aphasic impairment in chronic stroke survivors is typically thought to be stable by 6 months postonset. However, a recent study showed that stroke survivors with aphasia experience language improvement or decline in the chronic phase, years beyond onset. Little is known about why some individuals improve whereas others remain stable or decline. Additionally, no study has tracked changes in aphasia from assessments completed at multiple time points across many years. The current study offers a comprehensive analysis of potential predictive demographic and health information to determine which factors predict dynamic changes in aphasia severity in chronic stroke. Methods Individuals in the chronic stage of a single-event, left-hemisphere ischemic stroke were identified from an archival database and included for study ( N = 39). Participants were included if they had undergone 2 or more standardized language assessments acquired at time points at least 6 months apart, with the 1st assessment at least 6 months postinjury. A linear mixed-effects model was used to determine the impact of treatment and a variety of demographic and health factors on language change. Results Over time, half of the participants improved (51%), whereas approximately a quarter (26%) decreased, and a quarter (23%) remained stable. A greater number of aphasia treatment hours significantly predicted language improvement ( p = .03), whereas older stroke age was associated with long-term decline ( p = .04). Two interactions were found to be significant in predicting improvement in individuals with diabetes: Increased exercise and younger age at stroke were significant in predicting outcomes ( p < .05). Conclusions Factors that significantly influence language recovery in chronic aphasia include stroke age and receiving aphasia treatment. For those with diabetes, increased exercise was shown to improve outcomes. Results from this study offer clinicians greater insight into the influence of patient factors on long-term recovery from stroke aphasia while suggesting a potential adjunct to language therapy: exercise. Supplemental Material https://doi.org/10.23641/asha.7849304.

Factors Associated With High-Quality Guidelines for the Pharmacologic Management of Chronic Diseases in Primary Care: A Systematic Review

IMPORTANCE

As the rate of publication of new and sometimes conflicting medical research increases, clinicians rely heavily on clinical practice guidelines (CPGs) to inform practice. However, CPGs are of widely variable quality, and there are no existing objective measures to rate the quality of CPGs.

OBJECTIVE

To systematically assess 421 CPGs for the management of common noncommunicable diseases in primary care using the validated Appraisal of Guidelines for Research and Evaluation Instrument, version II (AGREE-II) tool and elucidate the factors associated with quality of CPGs.

EVIDENCE REVIEW

MEDLINE, Embase, the Cochrane Library, and 12 websites for CPGs were searched for CPGs for the management of common noncommunicable diseases in primary care published between January 1, 2011, and August 30, 2017. The assessment of the quality of CPGs was performed by 3 appraisers using the 6 domains of the AGREE-II instrument. A multiple logistic regression was performed to identify factors associated with quality of CPGs.

FINDINGS

Of the 421 CPGs reviewed, 23.5% (99) were classified as high quality. Among included guidelines, clarity of presentation (70%) and scope and purpose (61%) had the highest median AGREE-II scores. The domains with the lowest median scores were applicability (22%) and rigor of development (33%). Factors associated with high-quality CPGs included having more than 20 authors (odds ratio, 9.08; 95% CI, 3.35-24.62), development at governmental institutions (odds ratio, 10.38; 95% CI, 2.72-39.60), and reporting funding (odds ratio, 10.34; 95% CI, 4.77-22.39). Year of publication, region, guideline version, and scope were not associated with quality among included CPGs.

CONCLUSIONS AND RELEVANCE

Primary care professionals and policymakers should be aware that CPGs in primary care are of widely variable quality, with less than 25% of included CPGs rated as high quality. High-quality CPGs were associated with a higher number of authors, governmental institutions, and the report of funding. Region of origin was not associated with quality of CPGs, which suggests that the improvement of the quality of CPGs should be an international concern.

New Health Care Reform and Impoverishment among Chronic Households in China: A Random-Intercept Approach

High out-of-pocket (OOP) payments for chronic disease care often contribute directly to household poverty. Although previous studies have explored the determinants of impoverishment in China, few published studies have compared levels of impoverishment before and after the New Health Care Reform (NHCR) in households with members with chronic diseases (hereafter referred to as chronic households). Our study explored this using data from the fourth and fifth National Health Service Surveys conducted in Shaanxi Province. In total, 1938 households in 2008 and 7700 households in 2013 were included in the analysis. Rates of impoverishment were measured using a method proposed by the World Health Organization. Multilevel logistic modeling was used to explore the influence of the NHCR on household impoverishment. Our study found that the influence of NHCR on impoverishment varied by residential location. After the reform, in rural areas, there was a significant decline in impoverishment, although the impoverishment rate remained high. There was little change in urban areas. In addition, impoverishment in the poorest households did not decline after the NHCR. Our findings are important for policy makers in particular for evaluating reform effectiveness, informing directions for health policy improvement, and highlighting achievements in the efforts to alleviate the economic burden of households that have members with chronic diseases.

Interventions to Support Behavioral Self-Management of Chronic Diseases

A majority of the US adult population has one or more chronic conditions that require medical intervention and long-term self-management. Such conditions are among the 10 leading causes of mortality; an estimated 86% of the nation's $2.7 trillion in annual health care expenditures goes toward their treatment and management. Patient self-management of chronic diseases is increasingly essential to improve health behaviors, health outcomes, and quality of life and, in some cases, has demonstrated effectiveness for reducing health care utilization and the societal cost burden of chronic conditions. This review synthesizes the current state of the science of chronic disease self-management interventions and the evidence for their effectiveness, especially when applied with a systematic application of theories or models that account for a wide range of influences on behavior. Our analysis of selected outcomes from randomized controlled trials of chronic disease self-management interventions contained in 10 Cochrane systematic reviews provides additional evidence to demonstrate that self-management can improve quality of life and reduce utilization across several conditions.

Association between different types of comorbidity and disease burden in patients with diabetes

BACKGROUND

This study examined the association between different types of comorbidities and the quality of diabetes care, health-related quality of life (HRQoL), and total health care expenditure.

METHODS

Adult patients with diabetes were identified from the 2011 to 2013 Medical Expenditure Panel Survey, a nationally representative survey of the civilian non-institutionalized US population. Twenty different chronic conditions were captured and categorized as: (i) diabetes only; (ii) diabetes plus concordant (diabetes-related) comorbidity only; and (iii) diabetes plus one or more discordant (non-diabetes-related) comorbidities. Disease burden outcomes included the process of diabetes care (eye and foot examinations, HbA1c and cholesterol tests, influenza vaccination), HRQoL, and total health care expenditure. Multivariable models were used to examine associations between the type of comorbidity and outcomes.

RESULTS

A sample of 8292 patients with diabetes was identified, of which 11.4% had diabetes only, 40.5% had concordant comorbidity only, and 48.1% reported one or more discordant comorbidities. Patients with diabetes and either type of comorbidity received better quality of diabetes care than those without a comorbidity. However, patients with discordant comorbidity showed significantly lower HRQoL measures and higher health care expenditure than those with concordant comorbidity. Adjusted total mean annual expenditure was US$4891, $6326, and $9210 for those with diabetes only and those with diabetes with one concordant or one discordant comorbidity, respectively.

CONCLUSIONS

Higher disease burden in patients with diabetes was associated with discordant rather than concordant comorbidity. Future interventional studies evaluating patient-centered care models addressing different types of comorbidity are necessary to better manage these complex patients.

Evidence-Based Management of Diabetes in Older Adults

The number of older adults with diabetes is rapidly increasing worldwide. A variety of factors contribute to the age-related increase in the incidence of diabetes. The lack of empiric evidence in the field has limited the management guidelines to mostly expert opinion. Given uncertainty over the rate at which to lower blood glucose levels and the optimal method of doing so, the goals of diabetes control in older people must be individualized. If the patient requires insulin therapy, the newer insulins, with their improved pharmacodynamic consistency and reduced risk of hypoglycemia, should be preferred. Several oral agents are preferable for people with sufficient endogenous insulin because they do not cause hypoglycemia when used as monotherapy. Some of these oral agents have been found to have cardioprotective effects. Older people with diabetes also require management of the other risk factors for cardiovascular disease, with antihypertensive drugs, cholesterol-lowering agents and low-dose aspirin. However, the precise targets for blood pressure control and low-density lipoprotein (LDL) cholesterol levels continue to evolve as more data become available. Diabetes care in older adults should focus on enhancing the individual's quality of life rather than trying to normalize blood glucose levels or reach predetermined blood pressure and LDL cholesterol targets.

Economic Burden of Cardiovascular Disease in Type 2 Diabetes: A Systematic Review

BACKGROUND

Cardiovascular diseases (CVDs) constitute major comorbidities in type 2 diabetes mellitus (T2DM), contributing substantially to treatment costs for T2DM. An updated overview of the economic burden of CVD in T2DM has not been presented to date.

OBJECTIVE

To systematically review published articles describing the costs associated with treating CVD in people with T2DM.

METHODS

Two reviewers searched MEDLINE, Embase, and abstracts from scientific meetings to identify original research published between 2007 and 2017, with no restrictions on language. Studies reporting direct costs at either a macro level (e.g., burden of illness for a country) or a micro level (e.g., cost incurred by one patient) were included. Extracted costs were inflated to 2016 values using local consumer price indexes, converted into US dollars, and presented as cost per patient per year.

RESULTS

Of 81 identified articles, 24 were accepted for analysis, of which 14 were full articles and 10 abstracts. Cardiovascular comorbidities in patients with T2DM incurred a significant burden at both the population and patient levels. From a population level, CVD costs contributed between 20% and 49% of the total direct costs of treating T2DM. The median annual costs per patient for CVD, coronary artery disease, heart failure, and stroke were, respectively, 112%, 107%, 59%, and 322% higher compared with those for T2DM patients without CVD. On average, treating patients with CVD and T2DM resulted in a cost increase ranging from $3418 to $9705 compared with treating patients with T2DM alone.

CONCLUSIONS

Globally, CVD has a substantial impact on direct medical costs of T2DM at both the patient and population levels.

Evaluation of a Diabetes Self-Management Program: Claims Analysis on Comorbid Illnesses, Health Care Utilization, and Cost

Background

An estimated 30.3 million Americans have diabetes mellitus. The US Department of Health and Human Services created national objectives via its Healthy People 2020 initiative to improve the quality of life for people who either have or are at risk for diabetes mellitus, and hence, lower the personal and national economic burden of this debilitating chronic disease. Diabetes self-management education interventions are a primary focus of this initiative.

Objective

The aim of this study was to evaluate the impact of the Better Choices Better Health Diabetes (BCBH-D) self-management program on comorbid illness related to diabetes mellitus, health care utilization, and cost.

Methods

A propensity score matched two-group, pre-post design was used for this study. Retrospective administrative medical and pharmacy claims data from the HealthCore Integrated Research Environment were used for outcome variables. The intervention cohort included diabetes mellitus patients who were recruited to a diabetes self-management program. Control cohort subjects were identified from the HealthCore Integrated Research Environment by at least two diabetes-associated claims (International Classification of Diseases-Ninth Revision, ICD-9 250.xx) within 2 years before the program launch date (October 1, 2011-September 30, 2013) but did not participate in BCBH-D. Controls were matched to cases in a 3:1 propensity score match. Outcome measures included pre- and postintervention all-cause and diabetes-related utilization and costs. Cost outcomes are reported as least squares means. Repeated measures analyses (generalized estimating equation approach) were conducted for utilization, comorbid conditions, and costs.

Results

The program participants who were identified in HealthCore Integrated Research Environment claims (N=558) were matched to a control cohort of 1669 patients. Following the intervention, the self-management cohort experienced significant reductions for diabetes mellitus–associated comorbid conditions, with the postintervention disease burden being significantly lower (mean 1.6 [SD 1.6]) compared with the control cohort (mean 2.1 [SD 1.7]; P=.001). Postintervention all-cause utilization was decreased in the intervention cohort compared with controls with −40/1000 emergency department visits vs +70/1000; P=.004 and −5780 outpatient visits per 1000 vs −290/1000; P=.001. Unadjusted total all-cause medical cost was decreased by US $2207 in the intervention cohort compared with a US $338 decrease in the controls; P=.001. After adjustment for other variables through structural equation analysis, the direct effect of the BCBH-D was –US $815 (P=.049).

Conclusions

Patients in the BCBH-D program experienced reduced all-cause health care utilization and costs. Direct cost savings were US $815. Although encouraging, given the complexity of the patient population, further study is needed to cross-validate the results.

Advancing health promotion through massage therapy practice: A cross-sectional survey study

The human resources needed to provide health promotion services to improve health behaviors in populations are currently limited. Health promotion and education is included in the definition of massage therapy, and many within the massage therapy profession understand that health promotion and education are a part of massage therapy practice. However, the amounts and types of health promotion activities in massage therapy practice have not been thoroughly explored. The objective of this study was to investigate the current attitudes, practices, and barriers toward providing health promotion in a national sample of practicing massage therapists. A descriptive cross-sectional survey disseminated May to August 2016 to practicing massage therapists in the United States. The majority (90.2%) of the 182 participants agree or strongly agree that it is important for massage therapists to provide health promotion. Therapists with less favorable attitudes about providing health promotion reported more barriers to providing the messages to their patients. Barriers to providing health promotion included a lack of guidelines, knowledge, and skills. Training and guidelines for massage therapists regarding health promotion would be a reasonable next step for future research development. Utilizing massage therapists as health promoters may provide opportunities to deliver more prevention messages to patients which may impact public health.

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Most massage therapists feel health promotion is an important part of massage therapy practice.

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Massage therapists report providing health promotion on approximately 10 specific topics.

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The greatest barrier for health promotion in massage therapy practice is lack of guidelines.

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Those with higher levels of education report greater barriers to health promotion.

Is Depression a Modifiable Risk Factor for Diabetes Burden?

The purpose of this review article was to examine the empirical evidence supporting depression as a risk factor for diabetes complications and associated burden. A database search using keywords located recent clinical and population studies addressing the association between depression and type 2 diabetes. Both cross-sectional and cohort studies were reviewed. Depression appears to exacerbate the progression of type 2 diabetes. The evidence is strong supporting the hypothesis that depression in persons with diabetes increases the risk of diabetes-related burden, including suboptimal glycemic control, complications, functionality, mortality, and health care utilization. Screening for depression among patients with diabetes should be increased in primary care. Newer approaches to diabetes care management may help to slow the progression of diabetes.

Association between multimorbidity and mean platelet volume in diabetic patients with acute myocardial infarction

AIMS

Diabetes mellitus (DM) is one of the most frequently detected conditions in multimorbid disease clusters. Platelet activation is one of the key mechanisms underlying atherothrombosis in acute myocardial infarction. Available data link mean platelet volume (MPV) to poor prognosis not only in cardiovascular and non-cardiovascular disease. Given the lack of research data on the association between disease clusters and MPV, we have set out to investigate the link between multimorbidity and MPV in diabetic patients with acute myocardial infarction.

METHODS

A total of 277 patients with DM and STEMI undergoing primary percutaneous coronary intervention were enrolled. Based on the number of comorbidities the study population was divided into two groups: group 1 (N = 58) with ≤ 1 comorbidity and group 2 (N = 219) with ≥ 2 comorbidities. A subanalysis was performed within the multimorbidity group: group 2A with two or three comorbidities (N = 156) and group 2B with at least four comorbidities (N = 63).

RESULTS

In the study population, 15.9% of patients had one comorbidity, and 22.0, 34.3, and 22.7% of patients had two, three, or at least four comorbid conditions, respectively. Both MPV and PDW were elevated in multimorbid patients (9.3 vs 10.8 fl and 9.5 vs 10.3 fl, respectively). The highest platelet volume indices were observed in patients with at least four comorbid conditions. There was a moderate positive correlation between MPV and the total number of comorbidities, the number of CVD comorbidities, and the number of non-CVD comorbidities.

CONCLUSIONS

These findings indicate that multimorbidity is associated with an increase in platelet volume indices. MPV values increased with the increasing number of comorbid conditions. Importantly, MPV values were elevated in some, but not all CVD and non-CVD conditions.

Effects of different aerobic exercise frequencies on streptozotocin-nicotinamide-induced type 2 diabetic rats: Continuous versus short bouts and weekend warrior exercises

BACKGROUND

Exercise training is known to have multiple beneficial effects on type 2 diabetes mellitus (T2DM). The aim of this study was to explore the effects of aerobic exercise frequency on diabetic parameters, the histopathological structure of skeletal muscle, diabetic myopathy, and mitochondrial enzyme activity in an experimental model of T2DM.

METHODS

Sprague-Dawley rats (n = 35) were rendered diabetic by injection of nicotinamide (110 mg/kg) and streptozotocin (65 mg/kg). Rats with blood glucose concentrations between 7 and 17 mmol/L were used. Diabetic rats were randomly allocated to one of the following groups: (i) control sedentary; (ii) diabetic sedentary; (iii) diabetic with continuous exercise (30 min/day, 5 days/week); (iv) diabetic with short bouts of exercise (3 × 10 min/day, 5 days/week); and (v) diabetic rats as "weekend warriors" (35 + 40 min/day, 2 days/week). After 6 weeks swimming exercise (total duration 150 min/week), biochemical tests were performed to measure insulin, glucose, cytokines, serum and muscle myeloperoxidase (MPO), and malondialdehyde (MDA) levels. Histologic analysis (histomorphometric and mitochondrial enzyme analysis) was also performed.

RESULTS

Compared with diabetic sedentary rats, significant improvements were observed in all exercise groups in terms of glucose levels, weight loss, tissue MPO and MDA levels, muscular connective tissue, muscle atrophy, mitochondrial enzyme, and all histomorphometric analyses.

CONCLUSIONS

The results of the study emphasize the effects of training on inflammation, increased oxidative stress, myopathy, and mitochondrial damage in a rat model of T2DM, and demonstrate that there is no major difference between exercise modalities provided that the total duration of exercise remains the same.

Prognostic impact of multimorbidity in patients with type 2 diabetes and ST-elevation myocardial infarction

Introduction

There is an increasing body of evidence on the clinical importance of multimorbidity, which is defined as the coexistence of two or more chronic conditions. Type 2 diabetes (T2DM) is one of the most frequent chronic conditions. Most adults with type 2 diabetes have at least 1 coexisting chronic condition and approximately 40% have 3 or more. Prior studies have suggested that cardiovascular (CVD) and non-CVD comorbid conditions yield worse outcomes in patients hospitalized with ST-elevation myocardial infarction (STEMI). It is unclear, however, the extent to which multimorbidity has a cumulative effect on long-term risk. Therefore we have set out to determine the prognostic value of multiple comorbidity on long-term outcomes in this population of patients.

Methods

A total of 277 patients with T2DM and STEMI undergoing primary percutaneous coronary intervention (PCI) were enrolled. Based on the number of comorbidities the study population was divided into two groups: group 1 (N=58) with ≤ 1 comorbidity and group 2 (N=219) with ≥ 2 comorbidities.

Results

Comorbid conditions were prevalent among study participants (Figure 1). The median number of comorbidities was three. 15.9% of patients had one comorbidity and 22.0%, 34.3%, and 22.7% of patients had two, three or at least four comorbid conditions respectively. A majority of patients had at least one CVD comorbidity (6.1% of patients had none), whereas 53.1% of patients did not have any non-CVD comorbidity. During hospitalization 3 out of 58 patients (5.2%) died in group 1 and 25 of 219 patients (11.4%) died in group 2. The number of comorbid conditions was not an independent predictor of in-hospital death. During 12-month follow-up, 5 of 58 patients (8.6%) and 42 of 219 patients (19.9%) died, respectively in group 1 and 2 (P=0.05). The number of comorbid conditions proved in ROC analysis that for 12-month mortality, the prognostic value was modest, but for 12-month acute coronary syndromes the prognostic value was good. Increase in the number of comorbid conditions by one was associated with a 15% increase in the relative risk of 12-month mortality and a 41% increase in the relative risk of 12-month acute coronary syndromes (ACS).

Conclusions

Comorbid conditions are highly prevalent among these groups of patients. Majority of patients have at least 2 other cardiovascular comorbidities and one or two non-cardiovascular comorbidities. In terms of long-term follow-up, multimorbidity was associated with worse outcomes. The risk of both long-term mortality and ACS increased with the increasing number of comorbidities. In summary, our findings highlight the importance of indentifying patients with multimorbidity. This, in turn, could allow for provision of better care to these high-risk and complex group of patients.

Prevalence and pattern of co morbidity among type2 diabetics attending urban primary healthcare centers at Bhubaneswar (India)

OBJECTIVE

India has the second largest diabetic population in the world. The chronic nature of the disease and high prevalence of co-existing chronic medical conditions or "co morbidities" makes diabetes management complex for the patient and for health care providers. Hence a strong need was felt to explore the problem of co morbidity among diabetics and its dimensions in primary health care practices.

METHOD

This cross sectional survey was carried out on 912 type 2 diabetes patients attending different urban primary health care facilities at Bhubaneswar. Data regarding existence of co morbidity and demographical details were elicited by a predesigned, pretested questionnaire"Diabetes Co morbidity Evaluation Tool in Primary Care (DCET- PC)". Statistical analyses were done using STATA.

RESULTS

Overall 84% had one ormore than one comorbid condition. The most frequent co morbid conditions were hypertension [62%], acid peptic disease [28%], chronic back ache [22%] and osteoarthritis [21%]. The median number of co morbid conditions among both males and females is 2[IQR = 2]. The range of the number of co morbid conditions was wider among males [0-14] than females [0-6]. The number of co morbidities was highest in the age group > = 60 across both sexes. Most of the male patients below 40 years of age had either single [53%] or three co morbidities [11%] whereas among female patients of the same age group single [40%] or two co morbidities [22%] were more predominantly present. Age was found to be a strong independent predictor for diabetes co morbidity. The odds of having co morbidity among people above poverty line and schedule caste were found to be[OR = 3.50; 95%CI 1.85-6.62]and [OR = 2.46; CI 95%1.16-5.25] respectively. Odds were increased for retired status [OR = 1.21; 95% CI 1.01-3.91] and obesity [OR = 3.96; 95%CI 1.01-15.76].

CONCLUSION

The results show a high prevalence of co morbidities in patients with type 2 diabetes attending urban primary health care facilities. Hypertension, acid peptic disease, chronic back ache and arthritis being the most common, strategies need to be designed taking into account the multiple demands of co morbidities.