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      A multidisciplinary stroke clinic for outpatient care of veterans with cerebrovascular disease

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          Abstract

          Background:

          Managing cerebrovascular risk factors is complex and difficult. The objective of this program evaluation was to assess the effectiveness of an outpatient Multidisciplinary Stroke Clinic model for the clinical management of veterans with cerebrovascular disease or cerebrovascular risk factors.

          Methods:

          The Multidisciplinary Stroke Clinic provided care to veterans with cerebrovascular disease during a one-half day clinic visit with interdisciplinary evaluations and feedback from nursing, health psychology, rehabilitation medicine, internal medicine, and neurology. We conducted a program evaluation of the clinic by assessing clinical care outcomes, patient satisfaction, provider satisfaction, and costs.

          Results:

          We evaluated the care and outcomes of the first consecutive 162 patients who were cared for in the clinic. Patients had as many as six clinic visits. Systolic and diastolic blood pressure decreased: 137.2 ± 22.0 mm Hg versus 128.6 ± 19.8 mm Hg, P = 0.007 and 77.9 ± 14.8 mm Hg versus 72.0 ± 10.2 mm Hg, P = 0.004, respectively as did low-density lipoprotein (LDL)-cholesterol (101.9 ± 23.1 mg/dL versus 80.6 ± 25.0 mg/dL, P = 0.001). All patients had at least one major change recommended in their care management. Both patients and providers reported high satisfaction levels with the clinic. Veterans with stroke who were cared for in the clinic had similar or lower costs than veterans with stroke who were cared for elsewhere.

          Conclusion:

          A Multidisciplinary Stroke Clinic model provides incremental improvement in quality of care for complex patients with cerebrovascular disease at costs that are comparable to usual post-stroke care.

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          Most cited references19

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          Multidisciplinary strategies for the management of heart failure patients at high risk for admission: a systematic review of randomized trials.

          The aim of this study was to determine whether multidisciplinary strategies improve outcomes for heart failure (HF) patients. Because the prognosis of HF remains poor despite pharmacotherapy, there is increasing interest in alternative models of care delivery for these patients. Randomized trials of multidisciplinary management programs in HF were identified by searching electronic databases and bibliographies and via contact with experts. Twenty-nine trials (5,039 patients) were identified but were not pooled, because of considerable heterogeneity. A priori, we divided the interventions into homogeneous groups that were suitable for pooling. Strategies that incorporated follow-up by a specialized multidisciplinary team (either in a clinic or a non-clinic setting) reduced mortality (risk ratio [RR] 0.75, 95% confidence interval [CI] 0.59 to 0.96), HF hospitalizations (RR 0.74, 95% CI 0.63 to 0.87), and all-cause hospitalizations (RR 0.81, 95% CI 0.71 to 0.92). Programs that focused on enhancing patient self-care activities reduced HF hospitalizations (RR 0.66, 95% CI 0.52 to 0.83) and all-cause hospitalizations (RR 0.73, 95% CI 0.57 to 0.93) but had no effect on mortality (RR 1.14, 95% CI 0.67 to 1.94). Strategies that employed telephone contact and advised patients to attend their primary care physician in the event of deterioration reduced HF hospitalizations (RR 0.75, 95% CI 0.57 to 0.99) but not mortality (RR 0.91, 95% CI 0.67 to 1.29) or all-cause hospitalizations (RR 0.98, 95% CI 0.80 to 1.20). In 15 of 18 trials that evaluated cost, multidisciplinary strategies were cost-saving. Multidisciplinary strategies for the management of patients with HF reduce HF hospitalizations. Those programs that involve specialized follow-up by a multidisciplinary team also reduce mortality and all-cause hospitalizations.
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            Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth Sleepiness Scale.

            W. Johns (1992)
            The Epworth Sleepiness Scale (ESS) is a simple questionnaire measuring the general level of daytime sleepiness, called here the average sleep propensity. This is a measure of the probability of falling asleep in a variety of situations. The conceptual basis of the ESS involves a four-process model of sleep and wakefulness. The sleep propensity at any particular time is a function of the ratio of the total sleep drive to the total wake drive with which it competes. ESS scores significantly distinguished patients with primary snoring from those with obstructive sleep apnea syndrome (OSAS), and ESS scores increased with the severity of OSAS. Multiple regression analysis showed that ESS scores were more closely related to the frequency of apneas than to the degree of hypoxemia in OSAS. ESS scores give a useful measure of average sleep propensity, comparable to the results of all-day tests such as the multiple sleep latency test.
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              A randomized trial of the efficacy of multidisciplinary care in heart failure outpatients at high risk of hospital readmission.

              We sought to determine whether a multidisciplinary outpatient management program decreases chronic heart failure (CHF) hospital readmissions and mortality over a six-month period. Hospital admission for CHF is an important problem amenable to improved outpatient management. Two hundred patients hospitalized with CHF at increased risk of hospital readmission were randomized to a multidisciplinary program or usual care. A study cardiologist and a CHF nurse evaluated each patient and made recommendations to the patient's primary physician before randomization. The intervention team consisted of a cardiologist, a CHF nurse, a telephone nurse coordinator and the patient's primary physician. Contact with the patient was on a prespecified schedule. The CHF nurse followed an algorithm to adjust medications. Patients in the nonintervention group were followed as usual. The primary outcome was the composite of the number of CHF hospital admissions and deaths over six months, compared by using a log transformation t test by intention-to-treat analysis. The median age of the study patients was 63.5 years, and 39.5% were women. There were 43 CHF hospital admissions and 7 deaths in the intervention group, as compared with 59 CHF hospital admissions and 13 deaths in the nonintervention group (p = 0.09). The quality-of-life score, percentage of patients on target vasodilator therapy and percentage of patients compliant with diet recommendations were significantly better in the intervention group. Cost per patient, in 1998 U.S. dollars, was similar in both groups. This study demonstrates that a six-month, multidisciplinary approach to CHF management can improve important clinical outcomes at a similar cost in recently hospitalized high-risk patients with CHF.
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                Author and article information

                Journal
                J Multidiscip Healthc
                Journal of Multidisciplinary Healthcare
                Journal of Multidisciplinary Healthcare
                Dove Medical Press
                1178-2390
                2011
                28 April 2011
                : 4
                : 111-118
                Affiliations
                [1 ]Department of Veteran Affairs (VA) Health Services Research & Development (HSR&D) Center of Excellence on Implementing Evidence-Based Practice (CIEBP)
                [2 ]VA HSR&D Stroke Quality Enhancement Research Initiative (QUERI) Program, Richard L Roudebush VA Medical Center, Indianapolis, IN, USA;
                [3 ]Regenstrief Institute, Indianapolis, IN, USA;
                [4 ]Department of Occupational Therapy, Indiana University, IN, USA;
                [5 ]Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, USA;
                [6 ]Nursing Service
                [7 ]Physical Medicine and Rehabilitation Service
                [8 ]Psychology Service, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA;
                [9 ]Departments of Neurology, Community Health, and Engineering at Brown University, Providence, RI, USA;
                [10 ]Providence Veterans Administration Medical Center, Providence, RI, USA;
                [11 ]Clinical Epidemiology Research Center (CERC), Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA;
                [12 ]Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA;
                [13 ]Department of Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA;
                [14 ]Robert Wood Johnson Clinical Scholars Program
                [15 ]Department of Neurology, Yale University School of Medicine, New Haven, CT, USA;
                [16 ]Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA;
                [17 ]Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA;
                [18 ]Veterans Administration Medical Center, Charleston, SC, USA;
                [19 ]Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
                Author notes
                Correspondence: Arlene A Schmid, Center of Excellence on Implementing Evidence-Based Practice (CIEBP), Richard L Roudebush VA Medical Center, 1481W 10th Street, HSR&D Mail Code 11H, Indianapolis, IN 46202, USA, Tel +1 317 988 3480, Fax +1 317 988 3222, Email arlene.schmid@ 123456va.gov
                Article
                jmdh-4-111
                10.2147/JMDH.S17154
                3093955
                21594062
                3378a1c3-72ab-46f1-9753-0572e830b1d0
                © 2011 Schmid et al, publisher and licensee Dove Medical Press Ltd.

                This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.

                History
                : 26 April 2011
                Categories
                Original Research

                Medicine
                clinical management of stroke,cost,blood pressure management,clinical outcome
                Medicine
                clinical management of stroke, cost, blood pressure management, clinical outcome

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