Browsing by keyword "Systems and Psychosocial Advances Research Center"
Now showing items 1-7 of 7
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A conceptual framework for personalized mobile health careThe widespread adoption of cell phones and other mobile platforms represent an opportunity to extend the benefits of personalized point-of-care healthcare applications to providers and patients in the developing world. However, the challenges facing the effective deployment of mobile health care applications are complex; thus, requiring a scalable, flexible, and configurable approach. A conceptual framework based on service-oriented-architecture is proposed to address the challenges of developing and deploying mobile health care applications. A particular emphasis of the framework is a service-agent-modeling-based personalized process support that is needed to support the diverse needs of the users.
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A randomized, multicenter trial of weight-adjusted intravenous heparin dose titration and point-of-care coagulation monitoring in hospitalized patients with active thromboembolic disease. Antithrombotic Therapy Consortium InvestigatorsBACKGROUND: Therapy with intravenous unfractionated heparin improves clinical outcome in patients with active thromboembolic disease, but achieving and maintaining a therapeutic level of anticoagulation remains a major challenge for clinicians. METHODS: A total of 113 patients requiring heparin for at least 48 hours were randomly assigned at 7 medical centers to either weight-adjusted or non-weight-adjusted dose titration. They were separately assigned to either laboratory-based or point-of-care (bedside) coagulation monitoring. RESULTS: Weight-adjusted heparin dosing yielded a higher mean activated partial thromboplastin time (aPTT) value 6 hours after treatment initiation than non-weight-adjusted dosing (99.9 vs 78.8 seconds; P =.002) and reduced the time required to exceed a minimum threshold (aPTT >45 seconds) of anticoagulation (10.5 vs 8.6 hours; P =.002). Point-of-care coagulation monitoring significantly reduced the time from blood sample acquisition to a heparin infusion adjustment (0.4 vs 1.6 hours; PCONCLUSIONS: Weight-adjusted heparin dosing according to a standardized titration nomogram combined with point-of-care coagulation monitoring using the BMC Coaguchek Plus System represents an effective and widely generalizable strategy for managing patients with thromboembolic disease that fosters the rapid achievement of a desired range of anticoagulation. Additional work is needed, however, to improve on existing patient-specific strategies that can more effectively sustain a therapeutic state of anticoagulation.
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Chronic kidney disease prevalence in Rivas, Nicaragua: use of a field device for creatinine measurementOBJECTIVE: An epidemic of chronic kidney disease (CKD) has been identified in Pacific coastal regions of Central America, and screening in the field in these low income countries remains logistically problematic. We tested the performance characteristics of a point of care creatinine analyzer compared to standardized serum creatinine measurements. METHODS: Measurements were conducted in 100 persons from a local health center (n=34) and hospital (n=66) in Rivas, Nicaragua using both a point-of-care analyzer (StatSensor Xpress, Nova Biomedical) and serum creatinine by Jaffe kinetic method with a Roche Cobas Integra 400 analyzer. Percent coefficient of variation, sensitivity and specificity of the StatSensor Xpress were determined. RESULTS: The average coefficient of variation (CV) was 1.28% for the serum creatinine and CV for the StatSensor Xpress analyzer was 6.8%. The median intra-individual creatinine results obtained with the StatSensor Xpress device were 0.32 mg/dL higher than those by serum creatinine by Jaffe kinetic method. The sensitivity and specificity of the StatSensor Xpress device for identifying subjects with abnormal creatinine (defined as > 1.2 mg/dL) was 100% and 79%, respectively. CONCLUSIONS: Point of care testing for creatinine demonstrated acceptable repeatability, excellent sensitivity (100%) and modest specificity (79%). Using the point of care testing will allow for generalized screening in the field in low income countries; however, confirmation for elevated levels > 1.2 mg/dL will require a second laboratory test confirmation.
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Development of a Point-of-Care HIV/Aids Medication Dosing Support System Using the Android Mobile PlatformMedication dosing errors can greatly reduce HIV treatment effectiveness as incorrect dosing leads to drug resistance and non-adherence. In order to dose correctly, HIV therapy providers must balance several patient characteristics such as renal functions and weight. In developing countries and other resource-limited settings, dosing errors are more likely because treatment is provided by mid-level providers with only basic training in HIV therapy. These providers also typically lack electronic tools informing medical decisions. Widespread adoption of mobile phones in developing nations offers an opportunity to implement a point-of-care system to help providers reduce dosing errors. We discuss the development of the mHIV-Dr system prototype using the new Android mobile platform. mHIV-Dr is being designed to provide dosing recommendations for front-line providers in developing countries. We also discuss the additional challenges in the implementation of the mHIV-Dr system in a resource limited setting.
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Evaluating Acceptability, Feasibility and Efficacy of a Diabetes Care Support Program Facilitated by Cellular-Enabled Glucose Meters: A DissertationBackground. Diabetes requires significant disease management, patient-provider communication, and interaction between patients, family members, caregivers, and care teams. Emerging patient-facing technologies, such as cellular-enabled glucose meters, can facilitate additional care support and improve diabetes self-management. This study evaluated patient acceptability, feasibility, and efficacy of a diabetes care support program facilitated by cellular-enabled glucose meters. Methods. A two-phase study approach was taken. Get In Touch – Phase 1 (GIT-1) was a 1-month pilot involving patients with type 1 and type 2 diabetes. Get In Touch – Phase 2 (GIT-2) was a 12-month randomized controlled crossover trial involving patients with poorly-controlled type 2 diabetes. Results from GIT-1 and preliminary results from GIT-2 are presented. Results. GIT-1 participants with type 1 (n=6) and type 2 (n=10) diabetes reported the intervention and cellular-enabled glucose meter were easy to use and useful while identifying potential areas of improvement. GIT-2 participants in both the intervention (n=60) and control (n=60) groups saw significant improvements in treatment satisfaction and A1c change, with intervention participants experiencing slightly greater improvements in each after 6 months (p=0.09 and p=0.16, respectively) compared to control participants. Conclusions. Patients reported favorable acceptability of the intervention. Preliminary results from a randomized trial demonstrated potential of intervention to improve patient-reported and physiological health outcomes. Future studies should evaluate feasibility and efficacy over a longer period of time, with a greater number of participants, and targeting different populations of patients with diabetes. Provider perspectives and changes in provider behavior, clinical work flow, and caregiver burden should also be assessed.
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Point of Care Testing Error in the ICUPoint-of-care testing (POCT) first arose in the 1970s, as self-calibrating blood gas measurement machines moved from the central lab to the ICU. Quality control factors, then as now, dictated operation by trained personnel. Sources of error reported in the literature are varied. We discuss POCT error in the context of two clinical cases.
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Reducing analytical variation between point-of-care and laboratory HbA1c testingBACKGROUND: Point-of-care (POC) HbA1c testing allows for timely treatment changes, improved glycemic control, and patient and provider satisfaction. Substantial variation between POC and laboratory HbA1c results has been reported. At our university hospital diabetes clinic, we observed significant negative bias in HbA1c with the DCA Vantage (Siemens Healthcare Diagnostics, Tarrytown, NY, USA) compared with the Tosoh G8 HPLC laboratory analyzer (Tosoh Bioscience, San Francisco, CA, USA). This led us to systematically analyze the bias with the goal of recalibrating the DCA to minimize bias. METHODS: We analyzed 45 patient samples, with HbA1c ranging between 5% and 10.8%, concurrently on two DCA analyzers and on the Tosoh G8 machine. The bias for each sample was the difference between the value on the DCA and the Tosoh G8 analyzer. Based on regression equations derived from the data, a correction factor for each DCA analyzer was calculated. The analyzers were recalibrated and retested for bias. RESULTS: At baseline, the mean bias (range) was -0.5229 (+0.1 to -1.3) for Analyzer 1 and -0.5348 (0.0 to -1.6) for Analyzer 2. After recalibration, the mean bias (range) was 0.000 (+0.6 to -0.6) and 0.0003 (+0.5 to -0.5) for Analyzers 1 and 2, respectively, and the systematic negative bias seen prior to the calibration was almost eliminated. CONCLUSIONS: We recommend periodic recalibration of POC analyzers to eliminate systematic unidirectional bias and to harmonize results between the POC and central laboratory analyzers within a healthcare system. Calibration may need to be repeated with any change in the reagent lot. University School of Medicine.
