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Biomedical subjects

Usha Subramanian

Publications and source records attributed to Usha Subramanian.

12 recordsLinked to original sources

Outcomes associated with a home care telehealth intervention.

To determine whether adding telehealth technology to traditional home care services increases health-related quality of life (HRQOL) and home care satisfaction, and decreases resource utilization among home care patients. This trial included 37 home care patients receiving services in a Veterans Affairs medical center, randomized into intervention and control groups. Outcome measures included patient satisfaction and HRQOL at baseline and 6-month follow- up, and the use of inpatient and outpatient services before and during the 6-month study period. Intervention group patients reported greater improvement in the mental health component of HRQOL, (t = 2.27; df = 15; p = 0.04). Satisfaction with the telehealth equipment was high (means exceeded 4.0 on six measures ranging from 1-5). However, no statistically significant differences were observed between intervention and control groups in terms of changes in physical health, inpatient admissions, bed days of care, emergency department visits, or general satisfaction with home care services. Intervention group members did show a trend (p = 0.10) toward fewer overall outpatient visits (mean = 29.1; standard deviation [SD] +/- 30.1) compared to those receiving traditional home care services (mean = 38.9; SD +/- 28.9) The use of telehealth services as an adjunct to traditional home care is associated with greater improvements in mental health status and a trend toward lower use of inpatient and outpatient healthcare services. Further work, utilizing larger sample sizes, is needed to investigate the relationship between telehealth services, the use of healthcare resources, and other outcomes.

Adult↗

Perspectives from the Veterans Health Administration about opportunities and barriers in telemedicine.

We used qualitative interviews to examine the perceptions of direct providers of telemedicine services, primary care providers (PCPs) and hospital administrators about opportunities and barriers to the implementation of telemedicine services in a network of Veterans Health Administration hospitals. A total of 37 interviews were conducted (response rate of 28%) with 17 direct telemedicine providers, nine PCPs and 11 administrators. The overall inter-coder reliability across all themes was high (Scott's pi = 0.94). Direct telemedicine providers generally agreed that telemedicine improved rapport with patients, and respondents in all three groups generally agreed that telemedicine improves access, productivity, and the quality and coordination of care. Respondents mentioned several benefits to home telemedicine, including the ability to better manage chronic diseases, provide frequent clinician contact, facilitate quick responses to patient needs and provide care in patient's homes. Most respondents anticipated future growth in telemedicine services. Barriers to telemedicine implementation included technical challenges, the need for more education and training for patients and staff, preferences for in-person care, the need for programme improvement and the need for additional staff time to provide telemedicine services.

Attitude of Health Personnel↗

Decreased survival in diabetic patients with heart failure due to systolic dysfunction.

BACKGROUND: Prognosis of patients with heart failure (HF) has improved in recent years due to advances in therapy. Whether this is also true for diabetic subjects with HF in clinical practice has not been studied in a prospective manner. METHODS: All patients with HF and left ventricular systolic dysfunction attending the outpatient clinic at our Veteran's Hospital between October 1999 and November 2000 were enrolled in our study and followed prospectively. Electronic medical records were accessed for data on comorbid conditions, medications, echocardiogram results and mortality information. Mean follow-up was 2.7 years. RESULTS: Of 495 patients with HF due to systolic dysfunction enrolled in the study, 293 (59%) had diabetes. Prevalence of hypertension, diuretic use and angiotensin converting enzyme inhibitor use was higher among diabetics. Beta-blocker usage was equal and high in both groups (60%). On follow-up, 109/273 (37%) patients in the diabetic group died, compared with 49/202 (24%) in the non-diabetic group. Independent predictors of death were diabetes (p<0.005, OR=1.73), age at enrollment (p<0.0001, OR=1.06), serum creatinine (p<0.01, OR=1.44) and diuretic use (p=0.038, OR=1.85). Beta-blocker use was associated with a decreased risk of death on univariate analysis only. CONCLUSIONS: Our results show that diabetic patients with HF continue to have higher mortality than non-diabetic patients with HF despite advances in therapy.

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Secular trends in prevalence of diabetes among younger patients admitted with acute myocardial infarction.

BACKGROUND: Diabetes prevalence is increasing in the population, both in the young and the elderly. We assessed the impact of increasing prevalence of diabetes on admissions for acute myocardial infarctions (MI) from 1990 through 1997. METHODS AND RESULTS: We retrospectively identified all patients discharged with the primary diagnosis of MI from any Veteran's Affairs Medical Center (VAMC) in the country between October 1990 and September 1997. Patients were classified as having diabetes from the ICD-9-CM codes and stratified by age. Demographic data were extracted from the patient treatment files. Prevalence of diabetes among MI patients for the years 1990 through 1997 was compared to that in the general population obtained from the Center for Disease Control. We identified 67,889 patients with MI of whom 17,756 (26%) had diabetes. In the age group < or =44 years, the prevalence of diabetes remained at approximately 11.5% from 1991 to 1998. In the age group 45-64 years, the increase was from 23% to 28%--a 23% increase (p<0.001), while in the older age group over 65 years, it increased from 25% to 33.5%--a 34% increase (p<0.001). In the general population, prevalence of diabetes increased by 50%, 63% and 44% in the three age groups. CONCLUSIONS: Despite substantial increase in prevalence of diabetes among the younger population, it does not appear to be predisposing them to increased risk for MI. The prevalence of diabetes among older patients with MI paralleled the increase seen in the general population with the steepest increase seen in the group > or =65 years. These data are important in focusing our resources for preventive measures.

Adult↗

Diabetes status and racial differences in post-myocardial infarction mortality.

BACKGROUND: Prior studies regarding the effect of racial status on post-myocardial infarction (MI) in subjects with diabetes have yielded conflicting results. We evaluated the effect of diabetes status on racial differences in post-MI mortality and morbidity for a 7-year period, from 1990 through 1997. METHODS: All patients discharged with the primary diagnosis of acute MI from any Veterans Affairs Medical Center in the country between October 1990 and September 1997 were identified. Demographic, comorbid conditions, inpatient, outpatient, mortality, and readmission data were extracted. Mortality, revascularization, readmissions, and length of hospital stay for MI were compared for the group with diabetes and that without diabetes. Comparison was made between black and white patients. Independent predictors of survival using a Cox regression model were examined. RESULTS: We identified 67,889 patients with MI of whom 17,756 (26%) had diabetes. Race status was known for 66,506 subjects of whom 55,731 (84%) were white and 8437 (13%) were black. Regardless of the race, the diabetic patients tended to have higher mortality than nondiabetic patients. The post-MI mortality during the entire follow-up period tended to be similar between blacks and whites for the nondiabetic patients, whereas the mortality tended to be lower in blacks than in whites in diabetic patients. CONCLUSIONS: Mortality from post-MI is significantly lower in blacks with diabetes than in whites with diabetes. In contrast, no racial difference in long-term mortality was seen among subjects without diabetes. Thus, it appears that diabetes status determines racial variation in post-MI mortality. The reasons for better survival post-MI of blacks in general and among subjects with diabetes in particular need to be further investigated.

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Similar decline in post-myocardial infarction mortality among subjects with and without diabetes.

BACKGROUND: Data from the 1970s and 1980s suggest that the rate of mortality from coronary disease for patients with diabetes has changed less than that for patients without diabetes. We evaluated trends in post-myocardial infarction mortality and morbidity in patients with and without diabetes over a 7-year period from 1990 through 1997, when substantial changes occurred in the management of coronary disease. METHODS: All patients discharged with the primary diagnosis of acute myocardial infarction (MI) from any Veterans Affairs Medical Center in the country between October 1990 and September 1997 were identified. Demographic, comorbid conditions, inpatient, outpatient, mortality, and readmission data were extracted. Mortality, trends in mortality over time, revascularization, readmissions, and length of hospital stay for MI were compared for the group with diabetes and the group without diabetes. Independent predictors of survival using a Cox regression model were examined. RESULTS: We identified 67,889 patients with MI, of whom 17,756 (26%) had diabetes. At 60 days post-MI, there was a 29% higher mortality rate in the group with diabetes (5.2% versus 4.0%, P < 0.001), which increased to 35% at 1 year (16.1% versus 11.9%, P < 0.001). Diabetes was independently associated with increased overall mortality. Age-adjusted 1-year post-MI mortality from 1991 to 1998 had a significant downward trend (4.9% decrease in odds of mortality per year, P < 0.001) regardless of diabetes status. CONCLUSIONS: Patients with diabetes showed a trend toward declining 1-year post-MI mortality rate that was not significantly different from that seen in patients without diabetes. Further work needs to be done to narrow the gap between the two groups.

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Provider response to computer-based care suggestions for chronic heart failure.

OBJECTIVES: We sought to assess the responses of providers to recommendations generated by a computer-management system for chronic heart failure (CHF). METHODS: This study is an analysis of primary care providers' responses to evidence-based computer-generated suggestions regarding patients with CHF at one center of a randomized trial. The trial randomized primary care providers from 2 VA Medical Centers to receive care suggestions regarding patients with CHF, with or without inclusion of patient symptom data obtained from pre-visit questionnaires. At one center, providers were asked to respond to the suggestions with hand-written comments and a numerical agreement scale. RESULTS: Providers responded to 774 care suggestions (62% of the 1246 delivered). They agreed with 41%, had major disagreements with 12%, and had minor disagreements with 22%. For 7% of the care suggestions, providers asked to not see it again for that patient. The most common reasons for major or minor disagreements were a belief that the suggestion was wrong or unnecessary (45%) or would not be tolerated by the patient (32%). External barriers to implementation of guidelines, lack of guideline awareness, or disagreement with guidelines were uncommon reasons cited by providers in this study. CONCLUSIONS: Providers agreed with less than half of computer-generated care suggestions from evidence-based CHF guidelines, most often because the suggestions were felt to be inapplicable to their patients or unlikely to be tolerated.

Attitude of Health Personnel↗

A controlled trial of including symptom data in computer-based care suggestions for managing patients with chronic heart failure.

BACKGROUND: Heart failure is common and associated with considerable morbidity and cost, yet physician adherence to treatment guidelines is suboptimal. We conducted a randomized controlled study to determine if adding symptom information to evidence-based, computer-generated care suggestions would affect treatment decisions among primary care physicians caring for outpatients with heart failure at two Veterans Affairs medical centers. METHODS: Physicians were randomly assigned to receive either care suggestions generated with electronic medical record data and symptom data obtained from questionnaires mailed to patients within 2 weeks of scheduled outpatient visits (intervention group) or suggestions generated with electronic medical record data alone (control group). Patients had to have a diagnosis of heart failure and objective evidence of left ventricular systolic dysfunction. We assessed physician adherence to heart failure guidelines, as well as patients' New York Heart Association (NYHA) class, quality of life, satisfaction with care, hospitalizations, and outpatient visits, at 6 and 12 months after enrollment. RESULTS: Patients in the intervention (n = 355) and control (n = 365) groups were similar at baseline. At 12 months, there were no significant differences in adherence to care suggestions between physicians in the intervention and control groups (33% vs. 30%, P = 0.4). There were also no significant changes in NYHA class (P = 0.1) and quality-of-life measures (P >0.1), as well as no differences in the number of outpatient visits between intervention and control patients (6.7 vs. 7.1 visits, P = 0.48). Intervention patients were more satisfied with their physicians (P = 0.02) and primary care visit (P = 0.02), but had more all-cause hospitalizations at 6 months (1.5 vs. 0.7 hospitalizations, P = 0.0002) and 12 months (2.3 vs. 1.7 hospitalizations, P = 0.05). CONCLUSION: Adding symptom information to computer-generated care suggestions for patients with heart failure did not affect physician treatment decisions or improve patient outcomes.

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Research in home-care telemedicine: challenges in patient recruitment.

This study reports challenges in recruiting patients for a randomized controlled trial of homecare telemedicine. Descriptive statistics on patient eligibility for home-care telemedicine services and patient refusals for participation are provided. Frequency counts of reasons for study exclusion and participant refusal and Chi-square tests to compare race and age-related differences are given. Of 302 home-care patients reviewed, 197 (65.2%) did not meet inclusion criteria. The most common reasons for study exclusion were patients either needing <2 visits per month (n = 59, 30%) or >3 skilled nurse visits per week (n = 46, 23.4%). Of the eligible patients (n = 105), 79 persons (75.2%) refused participation. The most common reasons for refusals were lack of perceived addition benefit of telemedicine (n = 27, 34.2%), and that routine health care was sufficient (n = 23, 29.1%). Higher than expected proportions of patients did not meet chosen eligibility criteria or refused to participate. These results should be helpful in designing home-care telemedicine programs and clinical trials.

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Geographic variation in health care utilization and outcomes in veterans with acute myocardial infarction.

OBJECTIVES: To examine regional variation in health care utilization and outcomes during acute and chronic care of veterans following acute myocardial infarction (AMI), identifying potentially modifiable variables and processes of care that influence patient outcomes. METHODS: Using national VA databases, we identified all veterans hospitalized at any VA Medical Center (VAMC) for AMI between October 1990 and September 1997. Demographic, inpatient, outpatient, mortality, and readmission data were extracted for 4 regions: Northeast, South, Midwest and West. Multivariable Cox proportional hazards regression models, controlled for comorbidity, were used to assess predictors of time to death and readmission. RESULTS: We identified 67,889 patients with AMI. Patient demographic characteristics by region were similar. Patients in the Northeast had more comorbid conditions and longer lengths of stay during the index AMI hospitalization. Region of the country independently predicted time to death, with lower risk of death in the Northeast (hazard ratio [HR] = 0.875; 95% confidence interval [95% CI], 0.834 to 0.918; P < .0001) and West (HR = 0.856; 95%CI, 0.818 to 0.895; P = .0001) than in the South. Patients in the Northeast and West also had more cardiology or primary care follow-up within 60 days and at 1 year post-discharge than patients in the South and Midwest. Outpatient follow-up accounted for a significant portion of the variation in all-cause mortality. CONCLUSION: Substantial geographic variation exists in subsequent clinical care and outcomes among veterans hospitalized in VAMCs for AMIs. Outpatient follow-up was highly variable and associated with decreased mortality. Further studies are needed to explore the causes of regional variation in processes of care and to determine the most effective strategies for improving outcomes after AMI.

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Patient perception and provider assessment of severity of heart failure as predictors of hospitalization.

OBJECTIVE: To assess the agreement between 2 methods of assigning New York Heart Association (NYHA) functional class to patients with chronic heart failure (CHF): deriving NYHA class from self-report interview data versus clinician assignment. To then determine the ability of each method to predict all-cause hospitalization. METHODS: Adults with CHF > or = 50 years old from an urban health system in Indianapolis, Indiana, were administered the Kansas City Cardiomyopathy Questionnaire (a validated CHF symptom questionnaire) at baseline. Patient self-reported functional data were then used to derive NYHA class. Clinical providers who were blinded to patients' questionnaire data independently assessed NYHA functional class. We used a weighted kappa statistic to evaluate the agreement between the NYHA class from patient-derived and that from provider-assigned methods. We then assessed the ability of patient and provider NYHA to predict time to hospitalization using Cox proportional hazards models. RESULTS: Of 156 patients with complete 6-month follow-up (mean age 63 years +/- 9 SD, 53% African American, and 68% women), the correlation coefficient was 0.43 between the patient-derived and provider-assigned NYHA methods. The weighted kappa statistic was 0.278, and the 95% confidence interval was 0.18 to 0.37, indicating only slight agreement. Patients classified themselves in worse categories than did their providers. Provider-assigned NYHA was a better predictor of hospitalization (P = .06). CONCLUSIONS: There is only slight agreement between patient-derived and clinician-assigned NYHA functional class. A different approach with patients may be needed if providers hope to use patients' reports to identify those at risk for hospitalization.

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