Factors affecting frequency of patient use of Internet-based telemedicine to manage cardiovascular disease risk.

We examined the frequency of use by patients of a web-based reporting system to monitor and control cardiovascular disease (CVD) risk factors. A total of 192 patients with intermediate or high CVD risk were categorized into four quartiles based on their frequency of use of the telemedicine reporting system over one year. The lowest frequency users (Quartile I) averaged 17 reporting days in one year and the highest frequency users (Quartile IV) averaged 211 reporting days in one year. Factors associated with more frequent use were overall knowledge of CVD (P = 0.014), blood lipids (P = 0.017), smoking (P = 0.036), higher scores in medication self-efficacy (P = 0.016) and higher income (P = 0.002). All quartiles showed trends of decreasing systolic blood pressure from hypertensive (≥140 mm Hg) to pre-hypertensive (<140) ranges. Patients were able to lower CVD risk with as few as two transmissions per month using the telemedicine system. Telemedicine reporting coupled with self-assessment of health status can promote a strong patient-provider partnership for managing the chronic risk factors of CVD.

Managing hypertension in urban underserved subjects using telemedicine--a clinical trial.

BACKGROUND: We evaluated an Internet- and telephone-based telemedicine system for reducing blood pressure (BP) in underserved subjects with hypertension. METHODS: A total of 241 patients with systolic BP ≥140 mm Hg were randomized to usual care (C; n = 121) or telemedicine (T; n = 120). The T group reported BP, heart rate, weight, steps/day, and tobacco use twice weekly. The primary outcome was BP control at 6 months. RESULTS: Average age was 59.6 years, average body mass index was 33.7 kg/m(2), 79% were female, 81% were African American, 15% were white, 53% were at or below the federal poverty level, 18% were smokers, and 32% had diabetes. Six-month follow-up was achieved in 206 subjects (C: 107, T: 99). Goal BP was achieved in 52.3% in C and 54.5% in T (P = .43). Systolic BP change (C: -13.9 mm Hg, T: -18.2; P = .118) was similar in both groups. Subjects in the T group reported BP 7.7 ± 6.9 d/mo. Results were not affected by age, sex, ethnicity, education, or income. In nondiabetic T subjects, goal BP was achieved in 58.2% compared with 45.2% of diabetic T subjects (P = .024). Nondiabetic T subjects demonstrated a greater reduction in systolic BP (T: -19 ± 20 mm Hg, C: -12 ± 19 mm Hg; P = .037). No difference in BP response between C and T was noted in patients with diabetes. CONCLUSION: In hypertensive subjects, engagement in a system of care with or without telemedicine resulted in significant BP reduction. Telemedicine for nondiabetic patients resulted in a greater reduction in systolic BP compared with usual care. Telemedicine may be a useful tool for managing hypertension particularly among nondiabetic subjects.

Impact of a telemedicine system with automated reminders on outcomes in women with gestational diabetes mellitus.

BACKGROUND: Health information technology has been proven to be a successful tool for the management of patients with multiple medical conditions. The purpose of this study was to examine the impact of an enhanced telemedicine system on glucose control and pregnancy outcomes in women with gestational diabetes mellitus (GDM). SUBJECTS AND METHODS: We used an Internet-based telemedicine system to also allow interactive voice response phone communication between patients and providers and to provide automated reminders to transmit data. Women with GDM were randomized to either the telemedicine group (n=40) or the control group (n=40) and asked to monitor their blood glucose levels four times a day. Women in the intervention group transmitted those values via the telemedicine system, whereas women in the control group maintained paper logbooks, which were reviewed at prenatal visits. Primary outcomes were infant birth weight and maternal glucose control. Data collection included blood glucose records, transmission rates for the intervention group, and chart review. RESULTS: There were no significant differences between the two groups (telemedicine vs. controls) in regard to maternal blood glucose values or infant birth weight. However, adding telephone access and reminders increased transmission rates of data in the intervention group compared with the intervention group in our previous study (35.6±32.3 sets of data vs.17.4±16.9 sets of data; P<0.01). CONCLUSIONS: Our enhanced telemedicine monitoring system increased system utilization and contact between women with GDM and their healthcare providers but did not impact upon pregnancy outcomes.

Treatment of patients with intermediate cardiovascular risk: Are clinical measures enough?

AIM: Clinical measures of cardiovascular disease risk (CVD) are important tools for establishing therapy to lower CVD risk. Risk assessment has come under criticism because clinical measures can underestimate or overestimate CVD risk. We assessed CVD risk in 252 subjects without evidence of CVD to establish therapy of one or more risk factors from clinical indications. The subjects all had intermediate CVD risk using the Framingham score. RESULTS: Average age was 59.1 years. 23.8% were smokers, 59.1% were hypertensive, 65.1% had hyperlipidemia. BMI was greater than 30 kg/M(2) in 56% and diabetes was present in 43.7%. In this cohort, 86.9% required therapy for hypertension or hyperlipidemia, and this proportion increased to 95.6% when subjects with diabetes were included. Of the remaining 4.4% (11 subjects), 7 reached intermediate risk based on cigarette smoking and 4 based on age >65 years old. Among diabetics, 94/110 had another risk factor and would require statin and ACE or ARB therapy. CONCLUSIONS: Of subjects at intermediate risk for CVD, 98.4% would not require further testing to decide on therapy to lower CVD risk. Although 16 diabetic subjects had no other risk factors, current guidelines suggest that these subjects should be treated to reduce CVD risk.

Reducing cardiovascular disease risk in medically underserved urban and rural communities.

OBJECTIVES: The aim of this study is to evaluate methods for lowering cardiovascular disease (CVD) risk in asymptomatic urban and rural underserved subjects. BACKGROUND: Medically underserved populations are at increased CVD risk, and systems to lower CVD risk are needed. Nurse management (NM) and telemedicine (T) systems may provide low-cost solutions for this care. METHODS: We randomized 465 subjects without overt CVD, with Framingham CVD risk >10% to NM with 4 visits over 1 year, or NM plus T to facilitate weight, blood pressure (BP), and physical activity reporting. The study goal was to reduce CVD risk by 5%. RESULTS: Three hundred eighty-eight subjects completed the study. Cardiovascular disease risk fell by ≥ 5% in 32% of the NM group and 26% of the T group (P, nonsignificant). In hyperlipidemic subjects, total cholesterol decreased (NM -21.9 ± 39.4, T -22.7 ± 41.3 mg/dL) significantly. In subjects with grade II hypertension (systolic BP ≥ 160 mm Hg, 24% of subjects), both NM and T groups had a similar BP response (average study BP: NM 147.4 ± 17.5, T 145.3. ± 18.4, P is nonsignificant), and for those with grade I hypertension (37% of subjects), T had a lower average study BP compared to NM (NM 140.4 ± 16.9, T 134.6 ± 15.0, P = .058). In subjects at high risk (Framingham score ≥ 20%), risk fell 6.0% ± 9.9%; in subjects at intermediate risk (Framingham score ≥ 10, < 20), risk fell 1.3% ± 4.5% (P < .001 compared to high-risk subjects). Medication adherence was similar in both high- and intermediate-risk subjects. CONCLUSIONS: In 2 underserved populations, CVD risk was reduced by a nurse intervention; T did not add to the risk improvement. Reductions in BP and blood lipids occurred in both high- and intermediate-risk subjects with greatest reductions noted in the high-risk subjects. Frequent communication using a nurse intervention contributes to improved CVD risk in asymptomatic, underserved subjects with increased CVD risk. Telemedicine did not change the effectiveness of the nurse intervention.

Rural and urban characteristics impact cardiovascular risk reduction.

PURPOSE: Our aim was to provide a descriptive analysis of specific differences between rural and urban residents and the interaction between these differences and those who reduced cardiovascular disease (CVD) risk in response to intervention versus those who did not. METHODS: This study is a descriptive analysis comparing rural groups with urban groups and those who decreased CVD risk with those who did not. Two hundred five rural (median age = 64.0 years [interquartile = 57.0, 71.0], 56% men) and 183 urban (median age = 58.0 years [interquartile = 50.0, 65.0], 53% men) residents were included. RESULTS: Rural and urban groups differed (P < .05) for demographic, anthropometric, physiological, and health-related variables. Those who decreased CVD risk, regardless of rural or urban, had greater blood pressure, greater low-density lipoprotein cholesterol, lower walking distance, greater CVD risk score, greater metabolic syndrome score, and greater internal health locus of control (all P < .05). Interestingly, there were differences between those who decreased risk and those who did not within the rural and urban groups. Triglycerides, C-reactive protein, diabetes knowledge, risk perception, and outcome expectations were greater for the rural group who decreased their CVD risk versus those who did not (all P < .05). For the urban group, there was a greater powerful others locus of control for those who decreased CVD risk (P < .05). CONCLUSIONS: To maximize the likelihood of success, risk reduction intervention and educational strategies for urban and rural groups must be tailored to address unique demographic, physiological, and health-related characteristics.

Gender differences in cardiovascular risk factors and risk perception among individuals with diabetes.

PURPOSE: The purpose of this study was to examine gender-based differences in cardiovascular risk factors and risk perception among individuals with diabetes. METHODS: The sample consisted of patients with an established history of diabetes who were enrolled in a telemedicine trial to reduce cardiovascular disease (CVD) risk. All subjects had a 10% or greater risk on the Framingham risk index. Assessments included blood pressure, A1C, lipid profile, medication history, and knowledge and risk perception surveys. RESULTS: Data were available for 211 individuals with type 2 diabetes (88 men and 123 women). The women and men did not differ in age, body mass index, or Framingham risk. Only 37.4% of women and 40.9% of men were at an A1C target of <7%. Total cholesterol levels were significantly higher among women, and fewer women were at low-density lipoprotein or blood pressure targets. Knowledge of CVD was similar between the 2 sexes. However, women perceived their risk for CVD to be significantly higher than did men. CONCLUSION: Less favorable cardiovascular risk profiles are observed among women with diabetes as compared with their male counterparts. Multifaceted approaches to both diabetes management and education are needed to target CVD risk reduction among individuals with diabetes.

Cardiovascular disease knowledge and risk perception among underserved individuals at increased risk of cardiovascular disease.

BACKGROUND: Cardiovascular disease (CVD) risk factor awareness and knowledge are believed to be prerequisites for adopting healthy lifestyle behaviors. The purpose of this study was to examine knowledge of CVD risk factors and risk perception among individuals with high CVD risk. METHODS: The sample consisted of inner city and rural medically underserved patients at high risk of CVD. To be eligible for the trial, subjects were required to have a 10% or greater CVD risk on the Framingham risk score. Knowledge of CVD was assessed with a 29-item questionnaire created for this study. Subjects also rated their perception of risk as compared with individuals of their own sex and age. RESULTS: Data were collected from 465 subjects (mean [SD] age, 60.5 [10.1] years; mean [SD] Framingham risk score, 17.3% [9.5%]). The mean (SD) CVD knowledge score was 63.7% (14.6%), and mean (SD) level of risk perception was 0.35 (1.4). Men and women had similar Framingham risk scores, but women perceived their risk to be significantly higher than that of their male counterparts. Women were also more knowledgeable than men about CVD. Urban participants had significantly higher actual risks than did their rural counterparts (18.2% [10.7%] vs 16.0% [8.9%], respectively; P = .01) but were significantly less knowledgeable about heart disease and also perceived their risk to be lower. CONCLUSIONS: These results indicate a low perception of risk and cardiovascular knowledge especially among men and inner city residents. Innovative educational strategies are needed to increase risk factor knowledge and awareness among at-risk individuals.

Accuracy of blood pressure measurements transmitted through a telemedicine system in underserved populations.

In underserved populations, inadequate surveillance and treatment allows hypertension to persist until actual cardiovascular events occur. Thus, we developed an Internet-based telemedicine system to address the suboptimal control of hypertension and other modifiable risk factors. To minimize cost, the subjects used home monitors for blood pressure (BP) measurements and entered these values into the telemedicine system. We hypothesized that patients could accurately measure their BP and transmit these values via a telemedicine system. Inner city and rural subjects (N = 464; 42% African-American or Hispanic) with 10% or greater 10-year risk of cardiovascular disease and with treatable risk factors were randomized into two groups, control group (CG) and telemedicine group (TG). Each subject received a home sphygmomanometer with memory. The TG recorded and entered BP at least weekly. During office visits, the BP meters were downloaded and recorded BP compared to BP values transmitted via telemedicine. The telemedicine (T) BP values were similar to the meter recorded (R) values (T: systolic/diastolic BP 133.4 +/- 11.1/77.5 +/- 6.8 mm Hg, and R: systolic/diastolic BP 136.4 +/- 11.9.4/79.7 +/- 7.5 mm Hg). The percent error was <1% for both systolic (-0.02 +/- 0.04%) and diastolic (-0.03 +/- 0.04%) BP. Lastly, the telemedicine BP values were similar to the office (O) BP values for systolic and diastolic BP (T: systolic/diastolic BP 133.4 +/- 11.1/77.5 +/- 6.8 mm Hg, and O: systolic/diastolic BP 136.3 +/- 20.5/78.1 +/- 10.5 mm Hg). In underserved populations, this inexpensive approach of patients using a home monitor and entering these values into a telemedicine system provided accurate BP data.

Managing heart failure care using an internet-based telemedicine system.

BACKGROUND: Managing patients with heart failure (HF) is labor intensive, and follow-up is often inadequate to detect day-to-day changes that ultimately lead to decompensation. We tested the effect of an Internet-based telemedicine (T) system that provides frequent surveillance and increased communicate between HF patients and their provider on frequency of hospitalization in a cohort of patients with advanced HF. METHODS AND RESULTS: HF patients in NYHA Class II-IV were randomized to usual care (UC, n = 24) or T (T plus UC, n = 24) and followed for 1 year. Office visits, emergency department visits, hospitalizations, telephone calls, and number of Internet communications were measured over the 1-year period. Left ventricular ejection fraction (EF) was assessed by echocardiography in both groups. For T, mean age was 53.2 +/- 2.0 years (72% male, 61% Caucasian, 39% African American). For UC, mean age was 54.1 +/- 2.6 years (76% male, 72% Caucasian, 14% African American, and 14% Hispanic). HF etiologies and EF were similar in both groups. During the 12-month period, UC had 74 total phone calls to the practice, whereas T had 88 telephone calls plus 1887 telemedicine data messages (6.5 messages/patient/month). ER visits were lower in the T group (T 5, UC 12; P < .05). Hospital admissions (T 24, C 40; P = .025) and total hospital days (T 84, UC 226 days; P < .005) were lower in T. Unscheduled clinic visits (T 13, UC 13; P = NS) and scheduled clinic visits (T 78, UC 94; P = NS) were similar in both groups. CONCLUSIONS: Frequent monitoring and patient management using a telemedicine system may help to reduce hospitalizations, hospital days, and emergency department visits.

Using a telemedicine system to decrease cardiovascular disease risk in an underserved population: design, use, and interim results.

Cardiovascular disease is the leading cause of morbidity and mortality in the USA. Disease management programs, while successful, are intensive and expensive. Follow-up is often inadequate, incomplete, and inconsistent. To address these problems, we developed an Internet-Telemedicine system. Patients send/receive data to/from their care provider via the Internet. The system optimizes function and minimizes cost (all hardware is off the shelf and FDA approved). We are currently using this Telemedicine system in a prospective, randomized clinical trial, to reduce CVD risk in medically underserved populations. Over an 8-month time interval, we found very high rates of usage of the Telemedicine system (92%). This rate of self-monitoring greatly exceeded the self-monitoring rate in controls (48%). The patient-entered Telemedicine blood pressure values were similar to the meter recorded values and to the office values.

Right atrial effects on right ventricular ejection fraction derived from thermodilution measurements.

OBJECTIVE: The thermodilution technique provides a convenient means to monitor cardiac output, right ventricular (RV) ejection fraction (EF), and volumes at the bedside. To calculate RVEF from the pulmonary artery temperature curve, the bolus thermodilution technique assumes that right atrial (RA) temperature returns to baseline value within 1 beat following the cold saline injection. The authors hypothesized that this assumption is the reason why the thermodilution technique consistently underestimates RVEF. DESIGN: A theoretical analysis and animal study. SETTING: Laboratory, university, multi-institutional. PARTICIPANTS: Animals. INTERVENTIONS: Cold saline injections. MEASUREMENTS AND MAIN RESULTS: In 2 porcine experiments, after a rapid injection of cold saline into right atrium, RA temperature took several heartbeats to return to baseline. In a theoretical analysis, if after the cold saline injection RA temperature returned to baseline in 1 beat (RAEF = 1), then thermodilution-derived RVEF(T) = actual RVEF(A). In contrast, if RA temperature took several beats to return to baseline (RAEF = RVEF), then RVEF(T) consistently underestimated RVEF(A). A least square fit of RVEF(A) versus RVEF(T) resulted in RVEF(A) = 1.0 x RVEF(T) + 0.11. Applying this correction (adding 0.11 to RVEF(T)) to the data gave relatively small errors in estimating RVEF over a wide EF range. CONCLUSIONS: After injecting cold saline into the right atrium, RA temperature takes several heart beats to return to baseline temperature, leading to underestimating RVEF and overestimating RV volumes. The pulsed thermal energy approach by injecting heat into the RV avoids these problems, but the impact of its small temperature signal on RVEF measurements needs to be determined.

Cardiovascular simulation toolbox.

A toolbox for Matlab Simulink (trademark of Mathworks corp. etc.) was developed to simulate various models of flow in the cardiovascular system and study effects of different pathological conditions. The toolbox was based on well-known analog lumped models of blood flow in vessels, the varying elastance heart model, blood flow through vessels, shunts, and valves as well as models of oxygen exchange at lungs and tissue. The toolbox is modular providing the basic building blocks of the cardiovascular system. Parameters for the individual components may be set by the user to adapt the component to the simulated system. Several examples are shown. This modeling system is described and is also available for downloading as an open source for free use. The authors see this as the basis for wide collaboration and standardization in modeling. A web site will be available for accepting contributions from other researchers and to create a free exchange.

Use of an internet-based telemedicine system to manage underserved women with gestational diabetes mellitus.

BACKGROUND: Internet technology has been proven to be a successful tool for the management of patients with multiple medical conditions. The purpose of this study was to demonstrate the feasibility of monitoring glucose control in indigent women with gestational diabetes mellitus (GDM) over the Internet. METHODS: Women with GDM were randomized to either the Internet group (n = 32) or the control group (n = 25). Patients in the Internet group were provided with computers and/or Internet access if needed. A website was established for documentation of glucose values and communication between the patient and the health care team. Women in the control group maintained paper logbooks, which were reviewed at each prenatal visit. Maternal feelings of diabetes self-efficacy were assessed at study entry and again before delivery. RESULTS: Women in the Internet group accessed the system and sent on average 21.8 (+/- 16.9) sets of data. There was no difference between the two groups in regards either fasting or post-prandial blood glucose values, although more women in the Internet group received insulin therapy (31% vs. 4%; P <0.05). There were also no significant differences in pregnancy and neonatal outcomes between the two groups. Women in the Internet group demonstrated significantly higher feelings of self-efficacy at the study's end. CONCLUSIONS: The benefit of monitoring blood glucose in indigent women with GDM via the Internet was limited by their infrequent use of the telemedicine system. Although system use was not associated with improved pregnancy outcomes, women in the telemedicine group did experience enhanced feelings of diabetes psychosocial self-efficacy.

Web-based Internet telemedicine management of patients with heart failure.

An Internet-based store-and-retrieval telemedicine system to communicate between patients and their healthcare provider was tested. The system requires no specialized equipment, is Web-based, and allows frequent surveillance of the health status of the patients with heart failure (HF). Thirty six patients were recruited to evaluate a Web-based telemedicine system for reducing care encounters. Eighteen patients were randomized to the telemedicine arm (group T), and 18 were given usual clinical care (group C) in our HF center. Patients in group T reported three times weekly via a secure Internet site for telemedicine intervention. We studied patients with HF with New York Heart Association (NYHA) class 2 to 4 with hospitalization within past 6 months. Mean age was 56.1 +/- 12.6 years (66.7% male; 66.7% Caucasian, 27.8% African American, and 5.6% Hispanic). Mean ejection fraction (EF) was 23.9% +/- 17.6% in group T and 26.6% +/- 16.4% in group C. Over an 8-month period, unscheduled (group T-3; group C-5), and scheduled clinic visits (group T-11, group C-7) were similar (p = NS); one group T patient was transplanted, one group C patient died. Total hospital days were lower with group T (44 days) compared to group C (133 days), p < 0.05. An Internet-based telemedicine system was able to closely monitor patients with HF. Surveillance through Internet-based telemedicine resulted in less hospitalization compared to control patients. This system may be helpful in reducing the cost of HF patient care.

Cardiovascular disease prevention for underserved patients using the Internet: bridging the digital divide.

For underserved populations, telemedicine can address the high prevalence and suboptimal control of cardiovascular disease (CVD) risk factors. However, Internet access issues may limit the successful application of telemedicine. We tested the hypothesis that computer skills, and not access per se, was the main obstacle to using the Internet for health care. After informed consent, 44 participants with little or no computer experience received 2 hours of training covering 14 basic computer use skills, Internet access, and our telemedicine system. The telemedicine system enables reporting blood pressure, weight, physical activity, cigarette use, provider feedback, personal medication information, and educational information about CVD risk factors. The patient population included 12 males and 32 females. Of this total were 23 African Americans. The average patient age was 60.4 +/- 3 years, and 64% had annual family incomes under 25,000 dollars. Eighty-two percent of the participants averaged 4 or higher (on a scale of 1 to 5) on basic computer skills. Only 11% had an average score below 3. Thirty-seven of 44 participants reported on their health status from a local Internet access site within 10 days. Participants' successful use of the telemedicine system was not correlated with age, gender, education level, or ownership of a computer. Computer skill score had a positive effect on system use. Underserved populations without computer experience or skills and at increased risk for CVD can be educated to use an Internet telemedicine system to communicate health status to their health care providers. Ownership of a computer was not a factor that predicted system use.

Management of heart failure patients using telemedicine communication systems.

Heart failure (HF) continues to place significant demands on health care resources because of the large number of hospital admissions for HF, the growth of the elderly population with HF, and the improved survival of patients with chronic heart disease who develop HF that requires continuous care. Because HF is best managed using a disease management approach, frequent communication is an important component of care. A variety of studies using the telephone to maintain communication have demonstrated reduced hospital admissions and improved morbidity rate. Hardware monitoring systems that can record vital signs and transmit information from the home to a data center have also demonstrated their value in HF care, but such systems become expensive when considered for large populations of HF patients. Most HF patients can transmit their vital signs, weight, and symptoms to a practice data center using the Internet with no specialized hardware other than a sphygmomanometer and a scale. We have used such a system to monitor HF patients and have provided care instructions using the same system. With use of an Internet communication system, it is possible to reduce hospitalizations and maintain a stable HF status without frequent office visits.