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Dive into the research topics where Rajeev Chaudhry is active.

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Featured researches published by Rajeev Chaudhry.


JAMA Internal Medicine | 2012

A Randomized Controlled Trial of Telemonitoring in Older Adults With Multiple Health Issues to Prevent Hospitalizations and Emergency Department Visits

Paul Y. Takahashi; Jennifer L. Pecina; Benjavan Upatising; Rajeev Chaudhry; Nilay D. Shah; Holly K. Van Houten; Steve Cha; Ivana Croghan; James M. Naessens; Gregory J. Hanson

BACKGROUND Efficiently caring for frail older adults will become an increasingly important part of health care reform;telemonitoring within homes may be an answer to improve outcomes. This study sought to assess differences in hospitalizations and emergency department (ED) visits among older adults using telemonitoring vs usual care. METHODS A randomized controlled trial was performed among adults older than 60 years at high risk for rehospitalization. Participants were randomized to telemonitoring (with daily input) or to patient-driven usual care. Telemonitoring was accomplished by daily biometrics,symptom reporting, and videoconference. The primary outcome was a composite end point of hospitalizations and ED visits in the 12 months following enrollment. Secondary end points included hospitalizations,ED visits, and total hospital days. Intent-to-treat analysis was performed. RESULTS Two hundred five participants were enrolled,with a mean age of 80.3 years. The primary outcome of hospitalizations and ED visits did not differ between the telemonitoring group (63.7%) and the usual care group(57.3%) (P=.35). No differences were observed in secondary end points, including hospitalizations, ED visits,and total hospital days. No significant group differences in hospitalizations and ED visits were found between the pre-enrollment period vs the post-enrollment period. Mortality was higher in the telemonitoring group (14.7%)than in the usual care group (3.9%) (P=.008). CONCLUSIONS Among older patients, telemonitoring did not result in fewer hospitalizations or ED visits. Secondary outcomes demonstrated no significant differences between the telemonitoring group and the usual care group.The cause of greater mortality in the telemonitoring group is unknown.


Mayo Clinic Proceedings | 2009

Warfarin Sensitivity Genotyping: A Review of the Literature and Summary of Patient Experience

Thomas P. Moyer; Dennis J. O'Kane; Linnea M. Baudhuin; Carmen Wiley; Alexandre Fortini; Pamela K. Fisher; Denise M. Dupras; Rajeev Chaudhry; Prabin Thapa; Alan R. Zinsmeister; John A. Heit

The antithrombotic benefits of warfarin are countered by a narrow therapeutic index that contributes to excessive bleeding or cerebrovascular clotting and stroke in some patients. This article reviews the current literature describing warfarin sensitivity genotyping and compares the results of that review to the findings of our study in 189 patients at Mayo Clinic conducted between June 2001 and April 2003. For the review of the literature, we identified relevant peer-reviewed articles by searching the Web of Knowledge using key word warfarin-related adverse event. For the 189 Mayo Clinic patients initiating warfarin therapy to achieve a target international normalized ratio (INR) in the range of 2.0 to 3.5, we analyzed the CYP2C9 (cytochrome P450 2C9) and VKORC1 (vitamin K epoxide reductase complex, subunit 1) genetic loci to study the relationship among the initial warfarin dose, steady-state dose, time to achieve steady-state dose, variations in INR, and allelic variance. Results were compared with those previously reported in the literature for 637 patients. The relationships between allelic variants and warfarin sensitivity found in our study of Mayo Clinic patients are fundamentally the same as in those reported by others. The Mayo Clinic population is predominantly white and shows considerable allelic variability in CYP2C9 and VKORC1. Certain of these alleles are associated with increased sensitivity to warfarin. Polymorphisms in CYP2C9 and VKORC1 have a considerable effect on warfarin dose in white people. A correlation between steady-state warfarin dose and allelic variants of CYP2C9 and VKORC1 has been demonstrated by many previous reports and is reconfirmed in this report. The allelic variants found to most affect warfarin sensitivity are CYP2C9*1*1-VKORC1BB (less warfarin sensitivity than typical); CYP2C9*1*1-VKORC1AA (considerable variance in INR throughout initiation); CYP2C9*1*2-VKORC1AB (more sensitivity to warfarin than typical); CYP2C9*1*3-VKORC1AB (much more sensitivity to warfarin than typical); CYP2C9*1*2-VKORC1AB (much more sensitivity to warfarin than typical); CYP2C9*1*3-VKORC1AA (much more sensitivity to warfarin than typical); and CYP2C9*2*2-VKORC1AB (much more sensitivity to warfarin than typical). Although we were unable to show an association between allelic variants and initial warfarin dose or dose escalation, an association was seen between allelic variant and steady-state warfarin dose. White people show considerable variance in CYP2C9 allele types, whereas people of Asian or African descent infrequently carry CYP2C9 allelic variants. The VKORC1AA allele associated with high warfarin sensitivity predominates in those of Asian descent, whereas white people and those of African descent show diversity, carrying either the VKORC1BB, an allele associated with low warfarin sensitivity, or VKORC1AB or VKORC1AA, alleles associated with moderate and high warfarin sensitivity, respectively.


Quality & Safety in Health Care | 2007

Implementation of a medication reconciliation process in an ambulatory internal medicine clinic

Claudia L Nassaralla; James M. Naessens; Rajeev Chaudhry; Melanie A Hansen; Sidna M. Scheitel

Objective: To evaluate the causes of medication list inaccuracy, implement intervention to enhance overall accuracy of medication lists and measure the sustainability of the intervention. Methods: A prospective study of patients seen in an academic, ambulatory primary care internal medicine clinic. Before the intervention, baseline data were analysed, assessing completeness of medication documentation in the electronic medical record. The intervention consisted of standardising the entire visit process from scheduling of the appointment to signing of the final clinical note by the physician. Each healthcare team member was instructed in her role to enhance accuracy of the documented medication list. Immediately after the intervention, a second data collection was undertaken to assess the effectiveness of the intervention on the accuracy of individual medications and medication lists. Finally, a year later, a third data collection was undertaken to assess the sustainability of the intervention. Results: Completeness of individual medications improved from 9.7% to 70.7% (p<0.001). However, completeness of the entire medication lists improved only from 7.7% to 18.5%. The incomplete documentation of medication lists was mostly due to lack of route (85.8%) and frequency (22.3%) for individual medications within a medication list. Also, documentation of over-the-counter and “as needed” medications was often incomplete. The incorrectness in a medication list was mostly due to misreporting of medications by patients or failure of clinicians to update the medication list when changes were made. Conclusion: To improve the accuracy of medication lists, active participation of all members of the healthcare team and the patient is needed.


BMC Health Services Research | 2010

Use of an electronic administrative database to identify older community dwelling adults at high-risk for hospitalization or emergency department visits: The elders risk assessment index

Sarah J. Crane; Ericka E. Tung; Gregory J. Hanson; Stephen S. Cha; Rajeev Chaudhry; Paul Y. Takahashi

BackgroundThe prevention of recurrent hospitalizations in the frail elderly requires the implementation of high-intensity interventions such as case management. In order to be practically and financially sustainable, these programs require a method of identifying those patients most at risk for hospitalization, and therefore most likely to benefit from an intervention. The goal of this study is to demonstrate the use of an electronic medical record to create an administrative index which is able to risk-stratify this heterogeneous population.MethodsWe conducted a retrospective cohort study at a single tertiary care facility in Rochester, Minnesota. Patients included all 12,650 community-dwelling adults age 60 and older assigned to a primary care internal medicine provider on January 1, 2005. Patient risk factors over the previous two years, including demographic characteristics, comorbid diseases, and hospitalizations, were evaluated for significance in a logistic regression model. The primary outcome was the total number of emergency room visits and hospitalizations in the subsequent two years. Risk factors were assigned a score based on their regression coefficient estimate and a total risk score created. This score was evaluated for sensitivity and specificity.ResultsThe final model had an AUC of 0.678 for the primary outcome. Patients in the highest 10% of the risk group had a relative risk of 9.5 for either hospitalization or emergency room visits, and a relative risk of 13.3 for hospitalization in the subsequent two year period.ConclusionsIt is possible to create a screening tool which identifies an elderly population at high risk for hospital and emergency room admission using clinical and administrative data readily available within an electronic medical record.


Journal of Immigrant and Minority Health | 2012

Disparities in Preventive Health Services Among Somali Immigrants and Refugees

T. Ben Morrison; Mark L. Wieland; Stephen S. Cha; Ahmed S. Rahman; Rajeev Chaudhry

African immigrants and refugees—almost half of them from Somalia—account for one of the fastest-growing groups in the United States. There is reason to suspect that Somali-Americans may be at risk for low completion of recommended preventive health services. This study’s aim was to quantify disparities in preventive health services among Somali patients compared with non-Somali patients in an academic primary care practice in Rochester, Minn. It also examined the effect of medical interpreters, emergency department visits, and primary care visits on the completion of preventive services. Rates of pap smears, vaccinations (influenza, pneumococcus, and tetanus), lipid screening, colorectal cancer screening, and mammography were assessed in Somali and non-Somali patients during the second quarter of 2008. Data were collected regarding the utilization of medical interpreters, emergency services, and primary care services among Somali patients. Results were reported using standard descriptive statistics. Of the 91,557 patients identified in the database, 810 were Somali. Somali patients had significantly lower completion rates of colorectal cancer screening, mammography, pap smears, and influenza vaccination than non-Somali patients. Use of medical interpreters and primary care services were generally associated with higher completion rates of preventive services. There are significant discrepancies in the provision of preventive health services to Somali patients compared with that of non-Somali patients. These findings suggest the need to identify the root causes of these discrepancies so that interventions may be crafted to close the gap.


Journal of the American Medical Informatics Association | 2012

Clinical decision support with automated text processing for cervical cancer screening.

Kavishwar B. Wagholikar; Kathy L. MacLaughlin; Michael R. Henry; Robert A. Greenes; Ronald A. Hankey; Hongfang Liu; Rajeev Chaudhry

Objective To develop a computerized clinical decision support system (CDSS) for cervical cancer screening that can interpret free-text Papanicolaou (Pap) reports. Materials and Methods The CDSS was constituted by two rulebases: the free-text rulebase for interpreting Pap reports and a guideline rulebase. The free-text rulebase was developed by analyzing a corpus of 49 293 Pap reports. The guideline rulebase was constructed using national cervical cancer screening guidelines. The CDSS accesses the electronic medical record (EMR) system to generate patient-specific recommendations. For evaluation, the screening recommendations made by the CDSS for 74 patients were reviewed by a physician. Results and Discussion Evaluation revealed that the CDSS outputs the optimal screening recommendations for 73 out of 74 test patients and it identified two cases for gynecology referral that were missed by the physician. The CDSS aided the physician to amend recommendations in six cases. The failure case was because human papillomavirus (HPV) testing was sometimes performed separately from the Pap test and these results were reported by a laboratory system that was not queried by the CDSS. Subsequently, the CDSS was upgraded to look up the HPV results missed earlier and it generated the optimal recommendations for all 74 test cases. Limitations Single institution and single expert study. Conclusion An accurate CDSS system could be constructed for cervical cancer screening given the standardized reporting of Pap tests and the availability of explicit guidelines. Overall, the study demonstrates that free text in the EMR can be effectively utilized through natural language processing to develop clinical decision support tools.


Quality & Safety in Health Care | 2009

Medication reconciliation in ambulatory care: attempts at improvement

C. L. Nassaralla; James M. Naessens; Vicki L. Hunt; A. Bhagra; Rajeev Chaudhry; M. A. Hansen; Sidna M. Tulledge-Scheitel

Objective: To enhance overall accuracy of medication lists by providing performance feedback and training to the healthcare team and increasing patient participation in the medication reconciliation process. Methods: This prospective study involved patients seen in four academic, ambulatory primary care internal medicine clinics. Before the interventions, baseline data were analysed, assessing completeness, correctness and accuracy of medication documentation in the electronic medical record. Interventions to provide performance feedback and training to the healthcare team, increase patient awareness and participation in the medication reconciliation process were implemented. Immediately after each intervention, a data collection was undertaken to assess the effectiveness of the intervention on the accuracy of individual medications and medication lists. Results: Completeness of medication lists improved from 20.4% to 50.4% (p<0.001). The incomplete documentation of medication lists was mostly because of lack of frequency (15.4%) and route (8.9%) for individual medications within a medication list. Correctness of medication lists improved from 23.1% to 37.7% (p = 0.087). The incorrectness in a medication list was mostly because of incorrect medications dose. Patient participation in the medication reconciliation process increased from 13.9% to 33% (p<0.001). The medication list accuracy improved from 11.5% to 29% (p = 0.014). Conclusion: In this setting, it was helpful to engage the active participation of all members of the healthcare team and most importantly the patient to improve the accuracy of medication lists.


Mayo Clinic Proceedings | 2005

Importance of device evaluation for point-of-care prothrombin time international normalized ratio testing programs

Robert D. McBane; Cindy L. Felty; Mindy L. Hartgers; Rajeev Chaudhry; Lisa K. Beyer; Paula J. Santrach

OBJECTIVE To determine the accuracy of 2 commercially available point-of-care devices relative to plasma international normalized ratio (INR) values. PATIENTS AND METHODS Point-of-care INR testing was performed with the CoaguChek and ProTime 3 devices in consecutive patients attending an anticoagulation clinic between June 18, 2003, and August 6, 2003. Results were compared with plasma INRs using a sensitive thromboplastin (International Sensitivity Index, 1.0). RESULTS Ninety-four patients agreed to participate in the study. Relative to the plasma INR, values were in agreement +/-0.4 INR unit 82% and 39% of the time for the CoaguChek and ProTime 3 devices, respectively. The mean +/- SD CoaguChek INRs were 0.2+/-0.31 unit lower, whereas ProTime 3 INRs were 0.8+/-0.68 unit higher than plasma INR values. Treatment decisions based on these data would have resulted in inappropriate dose adjustments 10% and 22% of the time for these 2 respective devices. Correlation with plasma was greater for the CoaguChek (r2=0.90) compared with the ProTime 3 device (r2=0.73). CONCLUSIONS Optimal warfarin treatment requires accurate measurement of the INR. The choice of a point-of-care device for INR management depends on the reliability of INR data generated by the device.


BMC Health Services Research | 2010

A randomized controlled trial of telemonitoring in older adults with multiple chronic conditions: the Tele-ERA study

Paul Y. Takahashi; Gregory J. Hanson; Jennifer L. Pecina; Robert J. Stroebel; Rajeev Chaudhry; Nilay D. Shah; James M. Naessens

BackgroundOlder adults with multiple chronic illnesses are at risk for worsening functional and medical status and hospitalization. Home telemonitoring may help slow this decline. This protocol of a randomized controlled trial was designed to help determine the impact of home telemonitoring on hospitalization. The specific aim of the study reads as follows: to determine the effectiveness of home telemonitoring compared with usual care in reducing the combined outcomes of hospitalization and emergency department visits in an at-risk population 60 years of age or older.Methods/DesignTwo-hundred patients with the highest 10% Mayo Clinic Elder Risk Assessment scores will be randomly assigned to one of two interventions. Home telemonitoring involves the use of a computer device, the Intel Health Guide, which records biometric and symptom data from patients in their homes. This information is monitored by midlevel providers associated with a primary care medical practice. Under the usual care scenario, patients make appointments with their providers as problems arise and use ongoing support such as a 24-hour nurse line.Patients will have initial evaluations of gait and quality of life using instruments such as the SF-12 Health Survey, the Kokmen Short Test of Mental Status, and the PHQ-9 health questionnaire. Patients will be followed for 1 year for primary outcomes of hospitalizations and emergency department visits. Secondary analysis will include quality of life, compliance with the device, and attitudes about telemonitoring. Sample size is based on an 80% power to detect a 36% difference between the two groups. The primary analysis will involve Cox proportional time-to-event analysis. Secondary analysis will use t-test comparisons for continuous variables and the chi square test for proportional analysis.DiscussionPatients randomized to home telemonitoring will have daily assessments of their health status using the device. Registered nurse monitoring will assess any change in status followed by videoconferencing by a mid-level provider. We obtained trial registration and Institutional Review Board approval.Trial registrationTrial registration number through http://www.clinicaltrials.gov:%20NCT01056640.


American Journal of Clinical Pathology | 2008

Accuracy of capillary whole blood international normalized ratio on the CoaguChek S, CoaguChek XS, and i-STAT 1 point-of-care analyzers.

Brad S. Karon; Robert D. McBane; Rajeev Chaudhry; Lisa K. Beyer; Paula J. Santrach

We evaluated the accuracy of capillary whole blood international normalized ratio (INR) on the CoaguChek S (Roche Diagnostics, Indianapolis, IN), CoaguChek XS (Roche Diagnostics), and i-STAT 1 (i-STAT, East Windsor, NJ) point-of-care (POC) analyzers compared with venous plasma INRs determined by a reference laboratory method. Overall agreement between POC and laboratory plasma INR was very good, with median bias between capillary whole blood and laboratory plasma INRs varying from 0.0 to -0.2 INR units on all devices. More than 90% of results on the CoaguChek XS and i-STAT 1 and 88% of CoaguChek S results were within 0.4 INR units of the reference laboratory method. The CoaguChek XS and i-STAT 1 demonstrated greater accuracy than the CoaguChek S as measured by the number of results that differed by more than 0.5 INR units from the reference method. Median bias between CoaguChek S capillary whole blood and laboratory plasma INRs changed over time, demonstrating the need for ongoing quality assurance measures for POC INR programs.

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