Electronic Health Records in an Integrated Delivery System: Effects on Diabetes Care Quality
|
|
- Gerard Boyd
- 8 years ago
- Views:
Transcription
1 Electronic Health Records in an Integrated Delivery System: Effects on Diabetes Care Quality Mary Reed, DrPH 1 Jie Huang, PhD 1 Ilana Graetz 1 Richard Brand, PhD 2 Marc Jaffe, MD 3 Bruce Fireman, MA 1 John Hsu, MD MBA MSCE 4 1 Kaiser Permanente Division of Research 2 University of California at San Francisco, Department of Epidemiology and Biostatistics 3 Kaiser Permanente Northern California 4 Mongan Institute for Health Policy, Massachusetts General Hospital & Department of Health Care Policy, Harvard Medical School Funded by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R01DK AcademyHealth Annual Research Meeting June 2011
2 Introduction Health Information Technology (IT) use has the potential to increase care quality for patients with chronic conditions Federal incentive payments require Meaningful Use of certified electronic health records (EHR) Limited research evidence from large, controlled, longitudinal studies on effects of integrated, commercially available EHR systems on chronic disease care Need to examine effect of EHR on specific care pathways
3 Research Questions Does using an EHR improve diabetes care quality? Treatment: Does use of an EHR increase rates of treatment intensification after an A1c test? Specifically among those with a high initial value? Monitoring: Does use of an EHR increase rates of A1c testing? Overall retesting rates Retesting within 1 year (HEDIS) or 90 days (ADA)
4 Setting Integrated Delivery System Kaiser Permanente Northern California (KPNC) 17 Medical centers >1000 Primary care providers in ~110 teams EHR Epic-based integrated complete EHR' Integrated outpatient clinical information and documentation EHR accessible across all clinicians and all settings Order entry for labs and prescription medications Alerts A1c testing Diabetes treatment recommendations
5 Study Design Longitudinal follow-up of all patients with diabetes Staggered EHR implementation across 17 medical centers Quasi-experimental with concurrent controls Population: IDS diabetes registry at the end of 2003 Excluded after first disenrollment from IDS
6 Testing and Treatment Measures All A1c tests for patients with diabetes ( ) N=1,372, % of tests were done after EHR was implemented Treatment intensification Compare diabetes-related oral prescription drugs (non-insulin users) 60 days post-test vs.180 days pre-test Increase classes, dose, switch within a class or to new class Adding Insulin Time to Retest: Re-test Intervals Time from one A1c test (index test) to the next
7 Analysis Treatment intensification Multivariate logistic regression Interaction between EHR and index test level Time to Re-test Survival analysis: Stratified by test level Multivariate logistic regression: 1 year, 90 days Covariates Socio-demographic: age, gender, race/ethnicity, neighborhood SES, adherence history, chronic conditions Secular trend: calendar month and calendar year Medical center
8 Table 1. Baseline Patient Characteristics Total N % Characteristic 169,711 Age , , , , , , Gender Male 88, Race/ethnicity White 82, Black 17, Hispanic 22, Asian 24, Other 6, Unknown 15, Neighborhood Higher SES 120, SES Low SES 45, Unknown 4, Existing chronic Asthma 23, diseases CAD 28, HF 13, HTN 108,
9 Table 2. Association between EHR and Treatment Intensification by A1c Test Level Index test value Treatment Intensification (%) Pre-EHR EHR Treatment Intensification EHR vs. Pre-EHR Adjusted OR* 95% CI A1c<7 4.73% 4.82% , 1.01 A1c % 26.94% , 1.15 A1c % 46.34% , 1.14 *Logistic regression with clustering at patient level, also adjusted for patient characteristics (age, gender, neighborhood SES, race/ethnicity, prior adherence to drug, existing chronic conditions), calendar month, calendar year and medical center with an interaction term of EHR and index test level
10 Figure 2. Histogram of A1c Test Re-test Intervals Density Re-test within 365 days Re-test within 90 days Pre-EHR (%) EHR (%) Pre-EHR (%) EHR (%) A1c< % 89.56% 15.80% 14.66% A1c % 93.88% 24.60% 25.18% A1c % 91.54% 27.46% 28.26% days Note: Histogram of the inter test interval (days) between all HbA1c tests conducted between 2004 and 2009 among patients with diabetes in the end of 2003 and is restricted to the 98.8% of A1c tests with a re-test interval of <730 days
11 Table 3. Association between EHR and Time to Re-test Overall Rate of testing* Retest within 365 days** Retest within 90 days** HR 95% CI OR 95% CI OR 95% CI A1c<7 EHR vs pre-ehr , , , 0.93 A1c EHR vs pre-ehr , , , 1.06 A1c 9+ EHR vs pre-ehr , , , 1.07 *Cox model stratified by index test level with clustering at patient level, also adjusted for patient characteristics,calendar month, calendar year and medical center with an interaction term of EHR and index test level. Censored at first disenrollment or end of study. **Logistic regression with clustering at patient level, also adjusted for patient characteristics, calendar month, calendar year and medical center with an interaction term of EHR and index test level
12 Limitations Single IDS with set delivery options and non-experimental allocation of EHR High levels of baseline HbA1c testing Baseline non-integrated Health IT tools Baseline disease management programs
13 Conclusions Implementation of an integrated EHR: Increased rates of treatment intensification among patients with high HbA1c values Increased overall rates and rates of re-testing at 1 year 1 year retesting rate increase was greatest among patients with the highest HbA1c values More appropriate rates of re-testing at 90 days 90 day retesting increased among patients with the highest HbA1c values 90 day retesting rate decreased among patients already at goal
14 Implications EHR can be a powerful tool to deliver well-targeted and high quality chronic disease care The EHR helps target specific patient subgroups throughout the diabetes care pathway Increased testing and treatment for those with the greatest needs Decreasing aggressive testing for those already under good control Next steps: A1c levels
15
16 Appendix
17 Table 4. Association between EHR and HbA1c results (log transformed) All Baseline HbA1c levels Baseline HbA1c < Coef. 95% CI Coef. 95% CI Coef. 95% CI Coef. 95% CI pre-ehr (Ref) (Ref) (Ref) (Ref) First test after EHR , , , , or more tests after EHR , , , , Baseline HbA1c: defined as the last measure in Excluded patients with no baseline: 12.5% for A1c - Log transformed A1c Model: linear regression on log a1c with fixed effect at patient level, adjusted for calendar quarter and calendar year
The Next Step Towards Making EHR Use More Meaningful:
The Next Step Towards Making EHR Use More Meaningful: Electronic Information Exchange & Care Coordination Ilana Graetz, PhD University of Tennessee Health Science Center AcademyHealth Annual Research Meeting,
More informationElectronic health records to study population health: opportunities and challenges
Electronic health records to study population health: opportunities and challenges Caroline A. Thompson, PhD, MPH Assistant Professor of Epidemiology San Diego State University Caroline.Thompson@mail.sdsu.edu
More informationINEBRIA conference, 18 September 2014 Warsaw, Poland
Effectiveness of Screening, Brief Intervention and Referral to Treatment (SBIRT) in Reducing Hazardous Drinking: Results from an Implementation Study in Primary Care Setting Felicia W. Chi, MPH; Constance
More informationMetrics for Coordinated Care Organizations: Measuring Health Inequities. Lori Coyner, MA Director of Accountability and Quality
Metrics for Coordinated Care Organizations: Measuring Health Inequities Lori Coyner, MA Director of Accountability and Quality 2 Accountability Plan Addresses the Special Terms and Conditions that were
More informationCMS Publishes Star Ratings Reflecting Medicare Advantage Plan Quality
Rachel Reid, MS 1 ; Benjamin Howell, PhD 2 ; Partha Deb, PhD 2 ; William Shrank, MD MSHS 2 1 University of Pittsburgh School of Medicine, 2 CMS Innovation Center AcademyHealth 2012 Annual Research Meeting
More informationThe Impact of EHR and Teamwork on Care Transitions and Patient Outcomes. Ilana Paula Graetz. A dissertation submitted in partial satisfaction
The Impact of EHR and Teamwork on Care Transitions and Patient Outcomes By Ilana Paula Graetz A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy
More informationDiabetes Care 2011-2012
Clinical Innovations in the Patient Centered Medical Home to Improve Diabetes Care Robert A. Gabbay, MD, PhD, FACP Chief Medical Officer & Senior Vice President Joslin Diabetes Center Harvard Medical School
More informationKey Learnings Pharmacy Access Project. Key Learnings and Applications. Changes in Medication Adherence Rates. Jack Mahoney, MD Medical Director
Key Learnings Pharmacy Access Project Jack Mahoney, MD Medical Director Medications adherence rates in VBID group increased consistently across all study periods. 2 Changes in Medication Adherence Rates
More informationOn the Road to Meaningful Use of EHRs:
On the Road to Meaningful Use of EHRs: A Survey of California Physicians June 2012 On the Road to Meaningful Use of EHRs: A Survey of California Physicians Prepared for California HealthCare Foundation
More informationEmbedding Guidance in the Kaiser Permanente EHR. Wiley Chan, MD Kaiser Permanente Care Management Institute Oakland, CA, USA
Embedding Guidance in the Kaiser Permanente EHR Wiley Chan, MD Kaiser Permanente Care Management Institute Oakland, CA, USA Statement of Disclosure Wiley Chan, MD I have no commercial or academic conflicts
More informationImplementing Clinical Decision Support in an Electronic Medical Record System
Implementing Clinical Decision Support in an Electronic Medical Record System Realizing the Potential of Electronic Health Records 2010 National Conference on Health Statistics Washington, DC August 17,
More informationImpact of Diabetes on Treatment Outcomes among Maryland Tuberculosis Cases, 2004-2005. Tania Tang PHASE Symposium May 12, 2007
Impact of Diabetes on Treatment Outcomes among Maryland Tuberculosis Cases, 2004-2005 Tania Tang PHASE Symposium May 12, 2007 Presentation Outline Background Research Questions Methods Results Discussion
More informationEffectiveness of adolescent and adult pertussis (Tdap) vaccine. Roger Baxter, Joan Bartlett, Ali Rowhani-Rahbar, Bruce Fireman, Nicola Klein
Effectiveness of adolescent and adult pertussis (Tdap) vaccine Roger Baxter, Joan Bartlett, Ali Rowhani-Rahbar, Bruce Fireman, Nicola Klein Disclosures I receive research grants from Sanofi Pasteur and
More informationStudy Design and Statistical Analysis
Study Design and Statistical Analysis Anny H Xiang, PhD Department of Preventive Medicine University of Southern California Outline Designing Clinical Research Studies Statistical Data Analysis Designing
More informationPatient Activation and Engagement for ACOs
Patient Activation and Engagement for ACOs Judith H. Hibbard, PhD Institute for Policy Research and Innovation, University of Oregon Ralph Prows, MD The Regence Group Richard Baron, MD Centers for Medicare
More informationRacial Disparities and Barrier to Statin Utilization in Patients with Diabetes in the U.S. School of Pharmacy Virginia Commonwealth University
Racial Disparities and Barrier to Statin Utilization in Patients with Diabetes in the U.S. School of Pharmacy Virginia Commonwealth University Outline Background Motivation Objectives Study design Results
More informationInhaled Corticosteroids and Diabetes Onset
Inhaled Corticosteroids and the Risks of Diabetes Onset and Progression Journal Club October 13, 2010 By Anya Litvak, Kik Keiko Greenberg, and Jonathan Chrispin Background Inhaled corticosteroids are commonly
More informationTips for surviving the analysis of survival data. Philip Twumasi-Ankrah, PhD
Tips for surviving the analysis of survival data Philip Twumasi-Ankrah, PhD Big picture In medical research and many other areas of research, we often confront continuous, ordinal or dichotomous outcomes
More informationA SERENDIPITOUS EVALUATION OF MANDATORY HEALTH INSURANCE IN MASSACHUSETTS
A SERENDIPITOUS EVALUATION OF MANDATORY HEALTH INSURANCE IN MASSACHUSETTS New England Research Institutes, (NERI) Institute for Health Services and Disparities Research E: jmckinlay@neriscience.com 1.
More informationCreating Team Based Proactive Office Encounters
Better Health Greater Cleveland relies on the presenter to obtain all rights to use and display copyright-protected information. Anyone claiming a right or interest in or to any posted information should
More informationKaiser Permanente of Ohio
Kaiser Permanente of Ohio Chronic Disease Management Program March 11, 2011 Presenters: Amy Kramer and Audrey L. Callahan 1 Objectives 1. Define the roles and responsibilities of the Care Managers in the
More informationRisk Adjustment: Implications for Community Health Centers
Risk Adjustment: Implications for Community Health Centers Todd Gilmer, PhD Division of Health Policy Department of Family and Preventive Medicine University of California, San Diego Overview Program and
More informationEffects of Distance to Treatment and Treatment Type on Alcoholics Anonymous Attendance and Subsequent Alcohol Consumption. Presenter Disclosure
Effects of Distance to Treatment and Treatment Type on Alcoholics Anonymous Attendance and Subsequent Alcohol Consumption Jamie L. Heisey, MA Katherine J. Karriker-Jaffe, PhD Jane Witbrodt, PhD Lee Ann
More informationFULL COVERAGE FOR PREVENTIVE MEDICATIONS AFTER MYOCARDIAL INFARCTION IMPACT ON RACIAL AND ETHNIC DISPARITIES
FULL COVERAGE FOR PREVENTIVE MEDICATIONS AFTER MYOCARDIAL INFARCTION IMPACT ON RACIAL AND ETHNIC DISPARITIES Niteesh K. Choudhry, MD, PhD Harvard Medical School Division of Pharmacoepidemiology and Pharmacoeconomics
More informationHealthcare Utilization by Individuals with Criminal Justice Involvement: Results of a National Survey
Healthcare Utilization by Individuals with Criminal Justice Involvement: Results of a National Survey Frank JW, Linder JA, Becker WC, Fiellin DA, Wang EA Background U.S. criminal justice population is
More informationImproving Diabetes Care for All New Yorkers
Improving Diabetes Care for All New Yorkers Lynn D. Silver, MD, MPH Assistant Commissioner Bureau of Chronic Disease Prevention and Control Diana K. Berger, MD, MSc Medical Director Diabetes Prevention
More informationSeniors Choice of Online vs. Print Response in the 2011 Member Health Survey 1. Nancy P. Gordon, ScD Member Health Survey Director April 4, 2012
Seniors Choice of vs. Print Response in the 2011 Member Health Survey 1 Background Nancy P. Gordon, ScD Member Health Survey Director April 4, 2012 Every three years beginning in 1993, the Division of
More informationSmoking prevalence among patients with psychiatric disorders in an integrated health care delivery system: A case-control study
Smoking prevalence among patients with psychiatric disorders in an integrated health care delivery system: A case-control study Kelly C. Young-Wolff, PhD, MPH; Andrea H. Kline-Simon, MS; Constance Weisner,
More informationEXPANDING THE EVIDENCE BASE IN OUTCOMES RESEARCH: USING LINKED ELECTRONIC MEDICAL RECORDS (EMR) AND CLAIMS DATA
EXPANDING THE EVIDENCE BASE IN OUTCOMES RESEARCH: USING LINKED ELECTRONIC MEDICAL RECORDS (EMR) AND CLAIMS DATA A CASE STUDY EXAMINING RISK FACTORS AND COSTS OF UNCONTROLLED HYPERTENSION ISPOR 2013 WORKSHOP
More informationDisparities in Realized Access: Patterns of Health Services Utilization by Insurance Status among Children with Asthma in Puerto Rico
Disparities in Realized Access: Patterns of Health Services Utilization by Insurance Status among Children with Asthma in Puerto Rico Ruth Ríos-Motta, PhD, José A. Capriles-Quirós, MD, MPH, MHSA, Mario
More informationHow To Use An Ehr
Use of Electronic Health Records by Nurse Practitioners and Nurse Midwives Prepared for: The California Medicaid Research Institute for the California Department of Health Care Services Office of Health
More informationQuality of Care and Electronic Medical Records: Implications of Increased Adoption and Meaningful Use.
Quality of Care and Electronic Medical Records: Implications of Increased Adoption and Meaningful Use. RD Cebul 1,4, TE Love 1,4, AK Jain 2,4, CJ Hebert 3,4 MetroHealth Medical Center at Case Western Reserve
More informationMortality Assessment Technology: A New Tool for Life Insurance Underwriting
Mortality Assessment Technology: A New Tool for Life Insurance Underwriting Guizhou Hu, MD, PhD BioSignia, Inc, Durham, North Carolina Abstract The ability to more accurately predict chronic disease morbidity
More informationColorado Small Business Enrollment Guide A BETTER WAY to take care of business
2015 SMALL BUSINESS HEALTH Colorado Small Business Enrollment Guide A BETTER WAY to take care of business Choose BETTER. 31 Important deadline Open enrollment begins on November 15, 2014 for coverage beginning
More informationPrevalence of Diabetic Retinopathy: A Pilot Study from the SEARCH for Diabetes in Youth Study
Prevalence of Diabetic Retinopathy: A Pilot Study from the SEARCH for Diabetes in Youth Study Elizabeth J Mayer-Davis, PhD University of North Carolina at Chapel Hill For the SEARCH Study Group, May 2014
More information2012 Georgia Diabetes Burden Report: An Overview
r-,, 2012 Georgia Diabetes Burden Report: An Overview Background Diabetes and its complications are serious medical conditions disproportionately affecting vulnerable population groups including: aging
More informationSummary ID# 13614. Clinical Study Summary: Study F3Z-JE-PV06
CT Registry ID# Page 1 Summary ID# 13614 Clinical Study Summary: Study F3Z-JE-PV06 INSIGHTS; INSulin-changing study Intending to Gain patients insights into insulin treatment with patient-reported Health
More informationMaximizing Limited Care Management Resources to Improve Clinical Quality and Ensure Safe Transitions
Maximizing Limited Care Management Resources to Improve Clinical Quality and Ensure Safe Transitions Scott Flinn MD Deborah Schutz RN JD Fritz Steen RN Arch Health Partners A medical foundation formed
More informationSuccess Story - University Medical Practice Associates (UMPA), St. Luke s - Roosevelt Hospital Center, part of Continuum Health Partners, Inc.
Cover 1. Title: Driving Improvement of Diabetes Care in Upper West Side and Harlem neighborhoods of New York City through Clinical Decision Support and Analytics 2. Organization: University Medical Practice
More informationElectronic Medical Record Use and the Quality of Care in Physician Offices
Electronic Medical Record Use and the Quality of Care in Physician Offices National Conference on Health Statistics August 17, 2010 Chun-Ju (Janey) Hsiao, Ph.D, M.H.S. Jill A. Marsteller, Ph.D, M.P.P.
More informationElectronic Medical Record Use and the Quality of Care in
Electronic Medical Record Use and the Quality of Care in Physician i Offices AcademyHealth Annual Research Meeting June 27, 2010 Chun-Ju (Janey) Hsiao, Ph.D, M.H.S. Jill A. Marsteller, Ph.D, M.P.P. Alan
More informationThe Asheville Project: Long-Term Clinical and Economic Outcomes of a Community Pharmacy Diabetes Care Program
The Asheville Project: Long-Term Clinical and Economic Outcomes of a Community Pharmacy Diabetes Care Program Carole W. Cranor, Barry A. Bunting, and Dale B. Christensen Objective: To assess the persistence
More informationFACTORS ASSOCIATED WITH HEALTHCARE COSTS AMONG ELDERLY PATIENTS WITH DIABETIC NEUROPATHY
FACTORS ASSOCIATED WITH HEALTHCARE COSTS AMONG ELDERLY PATIENTS WITH DIABETIC NEUROPATHY Luke Boulanger, MA, MBA 1, Yang Zhao, PhD 2, Yanjun Bao, PhD 1, Cassie Cai, MS, MSPH 1, Wenyu Ye, PhD 2, Mason W
More informationStatement for the Record. Bernadette Loftus, MD. Executive-in-Charge, Mid-Atlantic Permanente Medical Group. Kaiser Permanente
Statement for the Record Bernadette Loftus, MD Executive-in-Charge, Mid-Atlantic Permanente Medical Group Kaiser Permanente Defense Health Care Reform Subcommittee on Personnel of the Committee on Armed
More informationADVANCED PRACTICE NURSES MEANINGFUL USE OF ELECTRONIC HEALTH RECORDS
ADVANCED PRACTICE NURSES MEANINGFUL USE OF ELECTRONIC HEALTH RECORDS ACKNOWLEDGMENT This study was supported by a research grant from the University of Arkansas, College of Education and Health Professions
More informationAAP Meaningful Use: Certified EHR Technology Criteria
AAP Meaningful Use: Certified EHR Technology Criteria On July 13, 2010, the US Centers for Medicare and Medicaid Services (CMS) released a Final Rule establishing the criteria with which eligible pediatricians,
More informationSession 5 Panel Discussion
Session 5 Panel Discussion Question: How can epidemiology help integrate knowledge from basic, clinical and population sciences to accelerate translation from research to practice? Moderator: Muin J. Khoury,
More informationNational perceptions of barriers, benefits, and federal policies impacting EHR adoption in physician offices, 2011
National perceptions of barriers, benefits, and federal policies impacting EHR adoption in physician offices, 2011 National Center for Health Statistics Eric Jamoom, PhD, MPH, MS, Senior Service Fellow
More informationImpact Of Decreasing Copayments On Medication Adherence Within A Disease Management Environment
Drug Copays Impact Of Decreasing Copayments On Medication Adherence Within A Disease Management Environment Value-based cost sharing can increase patients adherence to important medications. by Michael
More informationDIABETES DISEASE MANAGEMENT PROGRAM DESCRIPTION FY11 FY12
DIABETES DISEASE MANAGEMENT PROGRAM DESCRIPTION FY11 FY12 TABLE OF CONTENTS 1. INTRODUCTION.3 2. SCOPE........3 3. PROGRAM STRUCTURE...4 3.1. General Educational Interventions.....4 3.2. Identification
More informationElectronic Health Records: Trends, Issues, Regulations & Technologies
New September 2010 Critical Report! Electronic Health Records: Trends, Issues, Regulations & Technologies A Management Primer & Update Including: EHR Definition and Role EHR vs. EMR The New Momentum in
More information2011 MN HEALTH INFORMATION TECHNOLOGY (HIT) AMBULATORY CLINIC SURVEY SYNPOSIS OF THE 2011 HIT SURVEY FOR MN CLINICS. February 2011
SYNPOSIS OF THE 2011 HIT SURVEY FOR MN CLINICS February 2011 The 2011 HIT Survey begins with 3 pages of introductions, instructions, and definitions that all organizations will see. After that there are
More information[Author Name]. (2014, June). [Title of Presentation]. Podium presentation at the 7th Biennial Cancer Survivorship Research Conference, Atlanta, GA.
June 18-20, 2014 Atlanta, Georgia Please Note: Reference to material from the following presentation should be acknowledged by citing the author, title of the presentation, and title of the conference
More informationRandomized trials versus observational studies
Randomized trials versus observational studies The case of postmenopausal hormone therapy and heart disease Miguel Hernán Harvard School of Public Health www.hsph.harvard.edu/causal Joint work with James
More informationEmployee Population Health Management:
Employee Population Health Management: a stepping stone for accountable care Richard Boehler, MD, MBA, FACPE President and Chief Executive Officer St. Joseph Hospital, Nashua N.H. Learning to Manage Populations
More informationA Population Based Risk Algorithm for the Development of Type 2 Diabetes: in the United States
A Population Based Risk Algorithm for the Development of Type 2 Diabetes: Validation of the Diabetes Population Risk Tool (DPoRT) in the United States Christopher Tait PhD Student Canadian Society for
More informationPractice Readiness Assessment
Practice Demographics Practice Name: Tax ID Number: Practice Address: REC Implementation Agent: Practice Telephone Number: Practice Fax Number: Lead Physician: Project Primary Contact: Lead Physician Email
More informationFacts about Diabetes in Massachusetts
Facts about Diabetes in Massachusetts Diabetes is a disease in which the body does not produce or properly use insulin (a hormone used to convert sugar, starches, and other food into the energy needed
More informationWhy We Need Common Data Elements for Research and Quality Initiatives Across the Care Continuum
Why We Need Common Data Elements for Research and Quality Initiatives Across the Care Continuum 2 nd Annual Santa Clara Valley Brain Injury Conference: Building on the Legacy of Coma to Community San Jose,
More informationMedical expenditures of work-related injuries among immigrant workers in USA
Medical expenditures of work-related injuries among immigrant workers in USA Huiyun Xiang, MD, MPH, PhD Associate Professor Director for International Programs Center for Injury Research and Policy The
More informationName of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081
Name of the module: Multivariate biostatistics and SPSS Number of module: 471-8-4081 BGU Credits: 1.5 ECTS credits: Academic year: 4 th Semester: 15 days during fall semester Hours of instruction: 8:00-17:00
More informationCDS Starter Kit: Diabetes f ollow-up care
CDS Starter Kit: Diabetes f ollow-up care Introduction The delivery of high-quality diabetes care is a complex process that requires a provider to consider many pieces of patient information and treatment
More informationThe Latino Health Insurance Program
The Latino Health Insurance Program A community-based model to increase access to medical care for Latinos in Massachusetts Milagros Abreu,, MD Department of Epidemiology, Boston University School of Public
More informationUse of routinely collected electronic healthcare data: Lessons Learned
Use of routinely collected electronic healthcare data: Lessons Learned Massoud Toussi, MD, PhD, MBA European lead, Pharmacoepidemiology and Safety Real World Evidence Solutions, IMS Health, France ENCePP
More informationImproving Evidence-Based Primary Care for Chronic Kidney Disease. Walter L. Calmbach MD MPH South Texas Ambulatory Research Network (STARNet)
Improving Evidence-Based Primary Care for Chronic Kidney Disease Walter L. Calmbach MD MPH South Texas Ambulatory Research Network (STARNet) Learning Objectives 1. be familiar with the clinical relevance
More informationLimiting the Duration of Medication Assisted Treatment for Opioid Addiction: Will New State Policies Help or Hurt?
Limiting the Duration of Medication Assisted Treatment for Opioid Addiction: Will New State Policies Help or Hurt? Medicaid Evidence-Based Decisions Project June 25, 2014 Supported by National Institute
More informationAntipsychotic drugs are the cornerstone of treatment
Article Effectiveness of Olanzapine, Quetiapine, Risperidone, and Ziprasidone in Patients With Chronic Schizophrenia Following Discontinuation of a Previous Atypical Antipsychotic T. Scott Stroup, M.D.,
More informationPopulation Health Management Program
Population Health Management Program Program (formerly Disease Management) is dedicated to improving our members health and quality of life. Our Population Health Management Programs aim to improve care
More informationAppendix 1. Sociodemographic Characteristics for the Top and Bottom 10 States in the 2009 State Scorecard on Health System Performance
Appendix 1. Sociodemographic Characteristics for the Top and Bottom 10 States in the 2009 State Scorecard on Health System Performance Resident Population in Millions (a) Median Annual Household Income
More informationOverview. Provider Qualifications
Overview Diabetes self management training (DSMT) is a collaborative process through which patients with diabetes gain knowledge and skills needed to modify behavior and successfully manage the disease
More informationUsing Medicare Part D Data
Using Medicare Part D Data Holly M. Holmes, MD Department of General Internal Medicine Objectives Understand the contents of the Medicare Part D files Discuss the strengths and limitations in using Medicare
More informationPsychiatric Emergency Department Visits in California, 2005-2011. Session: Spatial Analysis, Paper # 1245
Psychiatric Emergency Department Visits in California, 2005-2011 Session: Spatial Analysis, Paper # 1245 Esri User s Conference San Diego, CA July 15, 2014 Participants»Jim E. Banta, PhD, MPH»Mark G. Haviland,
More informationwatch Introduction January 2012 No. 83
AND health COLORADO DEPARTMENT OF PUBLIC HEALTH AND ENVIRONMENT watch January 2012 No. 83 U N I O N CONSTITUTION Public versus Private Health Insurance in Colorado at a Glance: A Glimpse at Health Care
More informationOne Program, Two Populations: A Comparison of Disabled Workers and Retirees in Medicare
One Program, Two Populations: A Comparison of Disabled Workers and Retirees in Medicare Jae Kennedy, PhD Darren Liu, DrPH Josh Engle, MHPA Liz Blodgett, MHPA (cand) WSU Dept. of Health Policy and Administration
More informationResults of a Peer Mentoring Intervention in Older Patients with Diabetes: The Care Companion Program
Results of a Peer Mentoring Intervention in Older Patients with Diabetes: The Care Companion Program Deborah Graham, MSPH AAFP National Research Network Cynthia Henderson, RN, CCM WellMed Medical Management
More informationSystolic Blood Pressure Intervention Trial (SPRINT) Principal Results
Systolic Blood Pressure Intervention Trial (SPRINT) Principal Results Paul K. Whelton, MB, MD, MSc Chair, SPRINT Steering Committee Tulane University School of Public Health and Tropical Medicine, and
More informationPOC PHASE DATA. 6 institutions
POC PHASE DATA 6 institutions 1 calendar year (2010) All ONLINE Bachelors and below courses All DevEd regardless of format Two principle outcome measures investigated Did the student SUCCEED in their current
More informationDo Patients of Racial/Ethnic Minority and Lower SES Use Depression Care Management Differently?
Do Patients of Racial/Ethnic Minority and Lower SES Use Depression Care Management Differently? Yuhua Bao, Ph.D. Division of Health Policy, Department of Public Health Weill Cornell Medical College 2009
More informationHow To Use Ehr For Health Care
Increase Patient Impact Via Electronic Health Records (EHR) October 1, 2014 Mukesh Mehta, DPh, MBA, RPh Vice President, Clinical & Regulatory Solutions 201.358.7538 mukesh.mehta@pdr.net Dale Cooke, PhillyCooke
More informationMedweb Telemedicine 667 Folsom Street, San Francisco, CA 94107 Phone: 415.541.9980 Fax: 415.541.9984 www.medweb.com
Medweb Telemedicine 667 Folsom Street, San Francisco, CA 94107 Phone: 415.541.9980 Fax: 415.541.9984 www.medweb.com Meaningful Use On July 16 2009, the ONC Policy Committee unanimously approved a revised
More informationPresentation Overview
Treatment and Self-help Availability in Disadvantaged and Minority Neighborhoods Katherine J. Karriker-Jaffe, PhD Deidre Patterson, MPH Lee Ann Kaskutas, DrPH R01AA020328 to K.J. Karriker-Jaffe Presentation
More informationMedicare Shared Savings Program Quality Measure Benchmarks for the 2014 Reporting Year
Medicare Shared Savings Program Quality Measure Benchmarks for the 2014 Reporting Year Release Notes/Summary of Changes (February 2015): Issued correction of 2014 benchmarks for ACO-9 and ACO-10 quality
More informationHealth Information Technology and the National Quality Agenda. Daphne Ayn Bascom, MD PhD Chief Clinical Systems Officer Medical Operations
Health Information Technology and the National Quality Agenda Daphne Ayn Bascom, MD PhD Chief Clinical Systems Officer Medical Operations Institute of Medicine Definition of Quality "The degree to which
More informationContinuity of Care Guide for Ambulatory Medical Practices
Continuity of Care Guide for Ambulatory Medical Practices www.himss.org t ra n sf o r m i ng he a lth c a re th rou g h IT TM Table of Contents Introduction 3 Roles and Responsibilities 4 List of work/responsibilities
More informationSTROKE RISK AND OUTCOMES:
STROKE RISK AND OUTCOMES: THE COMMUNITY CONTEXT Arleen F. Brown, MD, PhD Associate Professor Division of General Internal Medicine and Health Services Research Co Director, Community Education and Research
More informationImpact of Massachusetts Health Care Reform on Racial, Ethnic and Socioeconomic Disparities in Cardiovascular Care
Impact of Massachusetts Health Care Reform on Racial, Ethnic and Socioeconomic Disparities in Cardiovascular Care Michelle A. Albert MD MPH Treacy S. Silbaugh B.S, John Z. Ayanian MD MPP, Ann Lovett RN
More informationNapa County. Medicare Advantage Plans. (Medicare Part C Plans) Compliments of HICAP. (Health Insurance Counseling and Advocacy Program)
2015 Napa County Medicare Advantage Plans (Medicare Part C Plans) HICAP Volunteer Counselors are available to help compare health plans in an objective and unbiased manner. They can help consumers understand
More informationTreatment. Race. Adults. Ethnicity. Services. Racial/Ethnic Differences in Mental Health Service Use among Adults. Inpatient Services.
CHAPTER 1 Introduction Racial/Ethnic Differences in Mental Health Service Use among Adults Treatment Ethnicity Outpatient Services Mental Health Adults Mental Health Care Prevalence Inpatient Services
More informationComprehensive Primary Care (CPC) Assessment
Comprehensive Primary Care (CPC) Assessment Meaningful Use: The Building Block for CPC By Denise Anderson, Ph.D. NJ-HITEC February, 2013 The Centers for Medicare and Medicaid Services (CMS) jump-started
More informationImproving Quality of Care for Medicare Patients: Accountable Care Organizations
DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Medicare & Medicaid Services Improving Quality of Care for Medicare Patients: FACT SHEET Overview http://www.cms.gov/sharedsavingsprogram On October
More informationMaintenance Steroid Avoidance in Pediatric Heart Transplantation is Associated with Excellent Graft Survival
Maintenance Steroid Avoidance in Pediatric Heart Transplantation is Associated with Excellent Graft Survival Scott Auerbach, MD, Jane Gralla, PhD, Shelley Miyamoto, MD, David Campbell, MD, and Biagio Pietra,
More informationC A LIFORNIA HEALTHCARE FOUNDATION. s n a p s h o t The State of Health Information Technology in California
C A LIFORNIA HEALTHCARE FOUNDATION s n a p s h o t The State of Health Information Technology in California 2011 Introduction The use of health information technology (HIT), defined as the software used
More informationCollege of Medicine Enrollment MD and MD/MPH Fall 2002 to Fall 2006
1 1 College of Medicine Enrollment MD and MD/MPH 8 6 4 2 College of Medicine MD and MD/MPH New students 184 18 172 185 184 Continuing students 592 595 67 585 589 Total 775 775 779 77 773 Change from previous
More informationMode and respondent effects in a dual-mode survey of physicians: 2008-2009
Mode and respondent effects in a dual-mode survey of physicians: 2008-2009 Esther Hing, M.P.H. 1, Chun-Ju Hsiao, Ph.D. 1, Paul Beatty, Ph.D. 1, Sandra L. Decker, Ph.D. 1, 1 National Center for Health Statistics,
More informationSUMAN DUVVURU STAT 567 PROJECT REPORT
SUMAN DUVVURU STAT 567 PROJECT REPORT SURVIVAL ANALYSIS OF HEROIN ADDICTS Background and introduction: Current illicit drug use among teens is continuing to increase in many countries around the world.
More informationImproving Outcomes and Saving Lives in Real Time: How Hospitals Can Use Predictive Analytics Across the Care Continuum Essential Hospitals Engagement
Improving Outcomes and Saving Lives in Real Time: How Hospitals Can Use Predictive Analytics Across the Care Continuum Essential Hospitals Engagement Network February 18, 2015 CHAT FEATURE The chat tool
More informationSafety & Effectiveness of Drug Therapies for Type 2 Diabetes: Are pharmacoepi studies part of the problem, or part of the solution?
Safety & Effectiveness of Drug Therapies for Type 2 Diabetes: Are pharmacoepi studies part of the problem, or part of the solution? IDEG Training Workshop Melbourne, Australia November 29, 2013 Jeffrey
More informationAddressing Racial/Ethnic Disparities in Hypertensive Health Center Patients
Addressing Racial/Ethnic Disparities in Hypertensive Health Center Patients Academy Health June 11, 2011 Quyen Ngo Metzger, MD, MPH Data Branch Chief, Office of Quality and Data U.S. Department of Health
More informationDiabetes. African Americans were disproportionately impacted by diabetes. Table 1 Diabetes deaths by race/ethnicity CHRONIC DISEASES
Diabetes African Americans were disproportionately impacted by diabetes. African Americans were most likely to die of diabetes. People living in San Pablo, Pittsburg, Antioch and Richmond were more likely
More information