Andrew Coco, MD Jeff Martin, MD FMEC November 1, 2013.

Slides:



Advertisements
Similar presentations
The Right Care at the Right Time: Are Retail Clinics Meeting a Need? Alliance for Health Reform Briefing Washington, D.C. June 18, 2012 Sam Nussbaum, M.D.
Advertisements

Chronic Obstructive Pulmonary Disease Research Opportunity Chronic Obstructive Pulmonary Disease (COPD) Dr Ian Williams Greater Metro South Brisbane Medicare.
Learn more about ways to Bend the Curve in health care costs at: Made possible through support from: Decreasing Hospital Admissions.
The Early Release Program of the National Health Interview Survey Jeannine Schiller, M.P.H., Jane F. Gentleman, Ph.D., Eve Powell-Griner, Ph.D. National.
Preventable Hospitalizations: Assessing Access and the Performance of Local Safety Net Presented by Yu Fang (Frances) Lee Feb. 9 th, 2007.
Community Health Assessment San Joaquin County.
Risk Management / CQI Nutr 564: Management Summer 2002.
PROVIDENCE CENTRALIA HOSPITAL EMERGENCY DEPARTMENT COMMUNITY ACCESS PROJECT Cindy Mayo, Chief Executive.
Using AHRQ Prevention Quality Indicators to Assess Program Performance in Medicaid Managed Care Sandra K. Mahkorn MD, MPH, MS Chief Medical Officer Wisconsin.
Reducing Inappropriate Emergency Department Use in Utah Kevin McCulley Association for Utah Community Health (AUCH) Nancy Cheeney Utah DOH, Health Care.
Using past visit information to enhance analysis of National Ambulatory Medical Care Survey (NAMCS) data Session 25 July 13, :30-noon.
Leading Age Maryland Annual Conference 2015 Maryland Healthcare and Aging Services Intersections Workshop Session F Wednesday, April 22, :45 – 3:45.
Healthcare Operations Management © 2008 Health Administration Press. All rights reserved. 1.
1 Canadian Institute for Health Information. Disparities in Primary Health Care Experiences Among Canadians With Ambulatory Care Sensitive Conditions.
Patient Characteristics and the Use of Health Care Services by Persons with HIV Esther Hing and Christine Lucas, Ambulatory and Hospital Care Statistics.
Readmission and Chronic illness that could benefit from end of life discussions.
The Facts About Rising Health Care Costs.
Access to Care: An Insurance Card that Means Something Getting to the Finish Line July 14, 2009 Amy Rosenthal, New England Alliance for Children’s Health.
A View From the Ground Better Care at Lower Cost for High Risk Patients.
Preventable Hospitalization Costs: A County-Level Mapping Tool State Healthcare Quality Improvement Workshop: Tools You Can Use to Make a Difference January.
1 Understanding and Using NAMCS and NHAMCS Data: A Hands-On Workshop Susan M. Schappert Donald K. Cherry.
Triennial Community Needs Assessment A Project of the Valley Care Community Consortium.
Camden Coalition of Healthcare Providers Improving care and reducing costs in Camden, NJ with the help of innovative local data systems Kennen S. Gross,
Finger Lakes Health Systems Agency Interface of the Physical and Mental Health Care Systems RCCHI Meeting December 18, 2013.
Medicare Managed Care and Primary Care Quality: Examining Racial/Ethnic Effects across States Jayasree Basu, Ph.D. AHRQ 2009 Annual Conference.
Preventable Hospitalization Costs: A County-Level Mapping Tool June 16, 2008 Marybeth Farquhar Agency for Healthcare Research and Quality Melanie Chansky.
Robin A. Cohen, PhD National Center for Health Statistics National Conference on Health Statistics August 7, 2012 Financial burden of medical care: Looking.
The Business Case for Bidirectional Integrated Care: Mental Health and Substance Use Services in Primary Care Settings and Primary Care Services in Specialty.
TRANSLATING VISITS INTO PATIENTS USING AMBULATORY VISIT DATA (Hypertensive patient case study) by Esther Hing, M.P.H. and Julia Holmes, Ph.D U.S. DEPARTMENT.
Preventable Hospitalization Costs and Mapping Tool John Bott Center for Delivery, Organization, and Markets July 21, 2010.
Increasing the sample: How can state-based estimates help monitor healthcare reform? 2012 National Conference on Health Statistics Monitoring Health Care.
Rural Health Network Development Grantee Meeting August 2, 2010 Diane M. Hughes, MBA Executive Director.
Health & Welfare Council of Long Island May 12, 2010.
Electronic Health Records and Clinical Decision Support Systems Impact on National Ambulatory Care Quality Max J. Romano, BA; Randall S. Stafford, MD,
South Service Planning Area (SPA 6) and King-Drew Medical Center Health Needs Planning Data 2004 Compiled by LAC DHS Office of Planning, 2004.
Western Maryland: Key Needs, Assets, and Challenges Rodney Glotfelty, RS, MPH Health Officer - Garrett County Western Maryland Hospital-Community Forum.
The Hilltop Institute was formerly the Center for Health Program Development and Management. Emergency Room Use by Individuals with Disabilities Enrolled.
DIABETES National Healthcare Quality and Disparities Report Chartbook on Effective Treatment.
The Effect of Medicaid Physician Payment Policy on Access to Care Sandra Decker, Ph.D. National Center for Health Statistics N ational.
Analyzing NCHS Drug Data Amy B. Bernstein, Sc.D. Presented at the NCHS Board of Scientific Counselors Meeting January 28, 2005 U.S. DEPARTMENT OF HEALTH.
Name Institution Date. Description of the Target Population The target population for this study are the African- American population aged between
Quality and Utilization in Healthy Kids programs in California Michael R. Cousineau, Dr. PH. Gregory D. Stevens, Ph.D. Em Arpawong, MPH Kyoko Rice Trevor.
Women’s health: Data from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) Esther.
U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics 1 Monitoring Million Hearts.
Figure Million Uninsured Young Adults in 2007, Up by 2.3 Million in Last Eight Years Millions uninsured, adults ages 19–29 Source: Analysis of.
Preparing for an Expanded Medicaid Population under the ACA: Undiagnosed and Untreated Health Needs Sandra Decker, Deliana Kostova, Genevieve Kenney and.
Component 1: Introduction to Health Care and Public Health in the U.S. 1.5: Unit 5: Financing Health Care (Part 2) 1.5c: Medical Expenditures: Costs Gone.
Affordable Care Act and Super-Utilizers Lynn Garcia, Kathleen Han, and Aileen Maertens SW 722 October 1, 2014.
1 Using National Hospital Ambulatory Medical Care Survey (NHAMCS) data for injury analysis Linda McCaig Ambulatory Care Statistics Branch Division of Health.
How do low-income limited English proficient adults use ambulatory health services when they have health insurance and access to interpreters? Elinor A.
9/8/2008Neumar - Emergency Care Research1 Emergency Care Research Solutions for the U.S. Heath Care System Robert W. Neumar MD, PhD Chair, Research Committee.
Federal Data Sources for Child Health Services Research Overview Pamela Owens, PhD Jane Sisk, PhD Jessica Banthin, PhD June 2006.
Could Yoga and Meditation Slash Health Care Utilization, Costs? Becker’s Hospital Review Article Written By: Tamara Rosin October 20, 2015.
Use of AHRQ’s Prevention and Pediatric Quality Indicators in MCO Rate Setting Pennsylvania Office of Medical Assistance Programs (OMAP) David K. Kelley.
Session5 OVERVIEW OF THE NATIONAL HEALTH CARE SURVEY.
Pediatric Asthma Hospitalizations: Impact of Managed Care in the Patterns of Outpatient Healthcare Utilization Capriles, JA., Rodríguez, MH., Rios, R.,
A Perspective on Family Medicine and End-of-Life and Palliative Care Peter Selwyn, M.D., M.P.H. Professor and Chairman Department of Family & Social Medicine.
NHQR Efficiency Measurement: Potentially Avoidable Hospitalization Trends & Costs Roxanne M. Andrews, Ph.D. Agency for Healthcare Research and Quality.
National Health Reform is Essential
A Demonstration Project to Build Medicaid Accountable Care Organizations (ACO’s) in New Jersey Jeffrey Brenner, MD Executive Director/Medical Director.
IBH, Cost (Risk Adjusted)
Volume 11, Issue 4, Pages (July 2011)
Volume 11, Issue 4, Pages (July 2011)
Volume 11, Issue 4, Pages (July 2011)
Terje P. Hagen Department of Health Management and Health Economics,
Potentially Preventable Readmissions
Potentially Preventable Readmissions
Component 1: Introduction to Health Care and Public Health in the U.S.
Illustrative Performance Improvement Targets
Presentation transcript:

Andrew Coco, MD Jeff Martin, MD FMEC November 1, 2013

 A 58-year-old Maryland woman breaks her ankle, develops a blood clot and, unable to find a doctor to monitor her blood-thinning drug, winds up in an emergency room 30 times in six months.  A 55-year-old Mississippi man with severe hypertension and kidney disease is repeatedly hospitalized for worsening heart and kidney failure; doctors don't know that his utilities have been disconnected, leaving him without air conditioning or a refrigerator in the sweltering summer heat.

Illustration by Alex Nabaum/For The Washington Post and KHN

 These patients are among the 1 percent whose ranks no one wants to join: the costly cohort battling multiple chronic illnesses who consumed 21 percent of the nearly $1.3 trillion Americans spent on health care in 2010, at a cost of nearly $88,000 per person.  Agency for Healthcare Research and Quality.

 Patients with frequent ED visits are often portrayed as unscrupulous, uninsured, and unnecessarily clogging EDs by presenting with primary care complaints better treated elsewhere.  Abelson R. Uninsured put a strain on hospitals. The New York Times. December 8,  Quinines S. Saving the ER for real emergencies: costly "frequent fliers" are being encouraged to visit clinics in LA. Los Angeles Times. January 22, 2007.

 Widely held assumptions about the patient population who frequently visits EDs, and their reasons for visiting, have not been, for the most part, supported by research on the topic.  Although the practicing provider may regularly encounter the stereotypical frequent ED user, this snapshot may not accurately reflect the true nature of frequent ED use

 About 79.7% of adults visited the emergency room due to lack of access to other providers, significantly more than the 66.0% who visited due to seriousness of the medical problem.  The most common reasons for the last emergency room visit were: only a hospital could help (54.5%), the doctor's office was not open (48.0%), or there was no other place to go (46.3%).

 Uninsured adults were more likely to visit the emergency room because they had no other place to go at the time of the last visit (61.6%), compared with adults having private insurance (38.9%) or those with public health plan coverage (48.5%)  Uninsured adults were significantly less likely to visit the emergency room because the doctor’s office was not open at the time of their last visit (30.9%) than adults with private insurance (49.9%) or those with public health plan coverage (59.7%)

 Frequent ED use occurs even in a coordinated health care system that provides ready access to outpatient care. Frequent ED users are characterized by traits that represent high levels of psychosocial and medical needs.  On a societal level, our findings support recent research suggesting that improved health outcomes may be realized through increasing expenditures for social services such as housing subsidies and income supplements  Doran KM et al. National VNA ED study. Ann Emerg Med. Feb 2013

 Are frequent visitors coming to the ED due to lack of primary care access, for convenience, or because of lack of social services?  The objective of this study is to inform policy development, from a national perspective, directed at frequent ED users and to highlight potential challenges in attending to their healthcare needs.

 Data for this study was compiled from the National Hospital Ambulatory Medical Care Survey (NHAMCS). The survey is administered by the National Center for Health Statistics (NCHS) for the CDC. It is designed to meet the need for objective, reliable information about ambulatory medical care services in hospital outpatient and emergency departments in the United States.

 Using a 4-stage probability sample design, NHAMCS collects a nationally representative sample of all visits emergency departments excluding federal hospitals.  NHAMCS data is collected by hospital staff members and monitored by field representatives.  Visit information is collected during a randomly assigned 4-week reporting period. The basic sampling unit used throughout the survey is the visit, not the patient.

 This paper utilizes the statistical theory of using a multiplicity estimator to create estimates about patients from encounter, or visit, data. Multiplicity occurs when the same observation unit (e.g. the patient) can be counted multiple times among the selection units (e.g. the patient visits).

 Based on statistical techniques developed at the National Center for Healthcare Statistics, it is possible to re-weight standard provider- based medical encounter data to yield patient estimates using a multiplicity estimator and appropriate network information obtained in the survey to account for multiple visits by the patient to the same emergency department

 139,502 ED visits over the 4 year period  Representing 397,165,016 visits nationally  84,630 visits (61%) had information on number visits in past 12 months.  5,131 visits represented those patients with 6 or more visits in the past 12 months – the top 1% of utilizers.

 abdominal pain  headache  spondylosis; intervertebral disc  superficial injury; contusion  non specific chest pain  sprains and strains  other respiratory infection  urinary tract infections  COPD  other nervous system disorders

 Contusion  sprains/strains  other respiratory infection  abdominal pain  non specific chest pain  other injuries/conditions  open wounds of extremities  skin and subcutaneous infection  spondylosis, intervetebral disc  open wounds of head, neck trunk

 Ambulatory care-sensitive conditions are conditions for which good outpatient care can potentially prevent the need for hospitalization, or for which early intervention can prevent complications of more severe disease.  Developed by AHRQ as one of their quality indicators.

 Bacterial pneumonia  Dehydration  Urinary tract infections  Perforated appendix  Low birth weight  Angina without procedure  Congestive heart failure  Hypertension  Adult asthma  Chronic obstructive pulmonary disease  Uncontrolled diabetes  Diabetes, short-term complications  Diabetes, long-term complications  Lower extremity amputations among patients with diabetes

 13 % of patients with 6 or more visits in the past year had an ambulatory sensitive condition compared to 9% with less frequent visits. P <.001  When controlled for all other significant variables in regression model, frequent ED visitors were 30% more likely to have an ambulatory care sensitive condition.

 Visit data, not patient data.  39% of visits did not have information on number of visits in past year so sensitivity analysis needed to show comparability with rest of database.

 Frequent ED use is probably multi-factorial  Higher rate of ambulatory care sensitive conditions could indicate primary care access issue  Higher rate of pain diagnoses and uninsured could support some of the assumptions of convenience use  Higher rate of homelessness and lack of transportation could indicate social service deficiencies.

Learning Institute Sessions Give Data Users First-Hand Experience This year’s Learning Institute featured 16 hands- on session, and 5 lecture sessions on NCHS surveys and resources. Both beginner and advanced sessions were available for the National Ambulatory Medical Care Survey (NAMCS), the National Hospital Ambulatory Medical Care Survey (NHAMCS), and the National Health Interview Survey (NHIS).