ASA Survey Results for Commercial Fees Paid for Anesthesia Services practice management

Similar documents
ASA Survey Results for Commercial Fees Paid for Anesthesia Services payment and practice manaement

ASA Survey Results for Commercial Fees Paid for Anesthesia Services payment and practice management

Building Blocks to Health Workforce Planning: Data Collection and Analysis

Policies for TANF Families Served Under the CCDF Child Care Subsidy Program

Upgrading Voter Registration in Florida

Report to Congressional Defense Committees

National Committee for Quality Assurance

SEASON FINAL REGISTRATION REPORTS

National Provider Identifier (NPI)

BUFFALO S SHIPPING POST Serving Napa Valley Since 1992

Governor s Office of Electronic Health Information (GOEHI) The National Council for Community Behavioral Healthcare

Advanced Nurse Practitioner Supervision Policy

Practice Advancement Initiative (PAI) Using the ASHP PAI Ambulatory Care Self-Assessment Survey

Role of State Legislators

Higher Education Employment Report

Patient-Centered Specialty Practice Readiness Assessment

National Perspective No Wrong Door System. Administration for Community Living Center for Medicare and Medicaid Veterans Health Administration

Medicaid Innovation Accelerator Program (IAP)

The Association of Community Cancer Centers 2011 Cancer Program Administrator Survey

Medicare & Medicaid EHR Incentive Programs Robert Tagalicod, Robert Anthony, and Jessica Kahn HIT Policy Committee January 10, 2012

Safe Staffing- Safe Work

Home Health Agency (HHA) Medicare Margins: 2007 to 2011 Issue Brief July 7, 2009

NCHIP and NICS Act Grants Overview and Current Status

Developmental screening, referral and linkage to services: Lessons from ABCD

Value based care: A system overhaul

National School Safety Conference Reno, Nevada / June 24 29, 2018

Award Cash Management $ervice (ACM$) National Science Foundation Regional Grants Conference. June 23 24, 2014

The 2015 National Workforce Survey Maryland LPN Data June 17, 2016

NEWS RELEASE. Air Force JROTC Distinguished Unit Award. MAXWELL AIR FORCE BASE, Ala. Unit OK at Union High School, Tulsa OK, has been

Driving Change with the Health Care Spending Benchmark

How Technology-Based-Startups Support U.S. Economic Growth

Prescription Monitoring Programs - Legislative Trends and Model Law Revision

Summary of 2010 National Radon Action Month Results

Medicaid Managed Care 2012 Fiscal Analysts Seminar August 30, 2012

2017 STSW Survey. Survey invitations were sent to 401 STSW members and conference registrants. 181 social workers responded.

RECOUNT RULES & VOTING SYSTEMS

Poverty and Health. Frank Belmonte, D.O., MPH Vice President Pediatric Population Health and Care Modeling

National Association For Regulatory Administration

CONNECTICUT: ECONOMIC FUTURE WITH EDUCATIONAL REFORM

Alaska (AK) Arizona (AZ) Arkansas (AR) California-RN (CA-RN) Colorado (CO)

Counterdrug(CD) Information Brief LTC TACKETT

NCCP. National Continued Competency Program Overview

The Value and Use of CME in Medical Licensure

Prescription Monitoring Program:

2010 Agribusiness Job Report

Dashboard. Campaign for Action. Welcome to the Future of Nursing:

2016 STSW Survey. Survey invitations were sent to all STSW members and 2016 conference registrants. 158 social workers responded.

Summary of 2011 National Radon Action Month Results

The Legacy of Sidney Katz: Setting the Stage for Systematic Research in Long Term Care. Vincent Mor, Ph.D. Brown University

College Profiles - Navy/Marine ROTC

United States Property & Fiscal Officer (USPFO)

State Partnership Performance Measures

ECONOMIC IMPACT OF LOCAL PARKS EXECUTIVE SUMMARY

ACRP AMBASSADOR PROGRAM GUIDELINES

Cesarean Delivery Model Meeting the challenge to reduce rates of Cesarean delivery

Vizient/AACN Nurse Residency Program TM. Jayne Willingham, MN, RN, CPHQ Senior Director Nursing Leadership

DoD-State Liaison Update NCSL August 2015

Care Provider Demographic Information Update

Options Counseling in and NWD/ADRC System National, State & Local Perspectives

IMPROVING THE QUALITY OF CARE IN SOUTH CAROLINA S MEDICAID PROGRAM

CONTINUING MEDICAL EDUCATION OVERVIEW BY STATE

Comprehensive Care for Joint Replacement (CJR) Readiness Kit

Its Effect on Public Entities. Disaster Aid Resources for Public Entities

2012 Federation of State Medical Boards

NATIONAL GUARD BUREAU OFFICE OF SMALL BUSINESS PROGRAMS. Panelist: Dr. Donna Peebles Associate Director

SETTLEMENT ADMINISTRATION STATUS REPORT NO. 2

Center for Clinical Standards and Quality /Survey & Certification

The Use of NHSN in HAI Surveillance and Prevention

The Next Wave in Balancing Long- Term Care Services and Supports:

Army Aviation and Missile Command (AMCOM) Corrosion Program Update. Steven F. Carr Corrosion Program Manager

131,,000 homeless veterans on any given night 300,000 homeless veterans during the year 23% of the total number of homeless people are veterans

A National Role Delineation Study of the Pediatric Emergency Nurse. Executive Summary

Rebates & Incentives - WTF. Lee Guthman February 28, 2012

NCQA PCMH Recognition: 2017 Standards Preview. Tricia Barrett Vice President, Product Design and Support January 25, 2017

NSF Award Cash Management $ervice (ACM$) and Financial Update. June 1, 2015

Preventive Controls for Animal Food Inspections and Compliance

State Innovations in Value-Based Care: ACOs and Beyond

MapInfo Routing J Server. United States Data Information

BEST PRACTICES IN LIFESPAN RESPITE SYSTEMS: LESSONS LEARNED & FUTURE DIRECTIONS

SPACE AND NAVAL WARFARE SYSTEMS COMMAND

2014 Giving Report. A Look at Fidelity Charitable Donors and How They Give. REPORT SPOTLIGHT How Donors Approach Philanthropy as a Family


Diversifying AAA/ADRCs Funding Streams: How states and their local partners can draw down federal Medicaid Administrative Match for ADRC/NWD Systems

Medicaid Innovation Accelerator Project

2018 National Health Care Retention & RN Staffing Report

The Current State of CMS Payfor-Performance. HFMA FL Annual Spring Conference May 22, 2017

Pain Advocacy: A Social Work Perspective THANK YOU! First Things First. Incidence of Pain

MEMORANDUM Texas Department of Human Services * Long Term Care/Policy

FHWA Office of Innovative Program Delivery Mission

Department of Homeland Security

Patient Centered Medical Home Foundation for Accountable Care

Assuring Better Child Health and Development Initiative (ABCD)

Episode Payment Models:

Framework for Post-Acute Care: Current and Future Issues for Providers

2016 Edition. Upper Payment Limits and Medicaid Capitation Rates for Programs of All-Inclusive Care for the Elderly (PACE )

FY15 Rural Health Care Services Outreach Funding Opportunity Announcement (FOA) HRSA Technical Assistance Webinar for SORHs

Advancing Self-Direction for People with Head Injuries

How to Research Business Opportunity with the National Guard

Federal Highway Administration Future of Highway Funding

Current and Emerging Rural Issues in Medicare

Transcription:

practice management ASA Survey Results for Commercial Fees Paid for Anesthesia Services 2013 Stanley W. Stead, M.D., M.B.A Sharon K. Merrick, M.S., CCS-P Thomas R. Miller, Ph.D., M.B.A. ASA is pleased to present the annual commercial conversion factor survey for 2013. Each summer we anonymously survey anesthesiology practices across the country asking them to report up to fi ve of their largest managed care (commercial) contract conversion factors (CFs) and the percentage each contract represents of their commercial population, along with some demographic information. Our objectives on the survey are to report to our members the average contractual amounts for the top fi ve contracts and to present a regional survey of trends in commercial contracting. Stanley W. Stead, M.D., M.B.A. is ASA s Section Chair for Professional Practice and Clinical Professor of Anesthesia and Pain Management, University of California, Davis. Summary Based on the 2013 ASA commercial conversion factor survey results, the national average commercial conversion factor was $71.69, ranging between $70.33 and $73.82 for the fi ve contracts. The national median was $67.61, ranging between $66 and $69 for the fi ve contracts (Figure 1, Table 1). In the 2012 survey, the mean conversion factor ranged between $64.80 and $71.44, and the median ranged between $61.70 and $68. In contrast, the current national Medicare conversion factor for anesthesia services is $21.92, or just 30.6 percent of the 2013 overall mean commercial conversion factor. Continued on page 60 Sharon K. Merrick, M.S., CCS-P is ASA Director of Payment and Practice Management. Thomas R. Miller, Ph.D., M.B.A. is ASA Director of Health Policy Research. 58 Downloaded From: http://monitor.pubs.asahq.org/pdfaccess.ashx?url=/data/journals/asam/934363/ on 08/15/2018

Table 1: National Managed Care Anesthesia Conversion Factors ($), 2013 Conversion Factors Contract 1 Contract 2 Contract 3 Contract 4 Contract 5 ALL Mean 70.33 71.07 71.93 72.87 73.82 71.69 Low 32.00 38.00 36.00 44.00 45.00 32.00 25th Percentile 59.00 60.00 60.00 61.50 61.05 60.00 Median 66.00 67.10 68.30 69.00 68.75 67.61 75th Percentile 74.00 79.50 80.11 80.00 82.45 79.00 High 250.40 150.00 150.00 178.20 158.40 250.40 Number of Responses 223 210 188 146 104 871 Percentage of Managed Care Business 20.40% 11.90% 6.21% 4.40% 3.40% 10.60% Table 2: Respondent Demographics Region Type Practices Cases Units/FTE MD FTE MD FTE Nurse Anesthetist FTE AA Eastern ACT 69 2,115,089 15,323 1,866.9 1,744.1 (375) 72.9 (6) Solo 7 496,866 12,753 135.0 All 76 2,611,955 15,098 2,001.9 1,744.1 (375) 72.9 (6) Midwest ACT 28 654,596 19,914 691.4 514.7 (56) 75.0 (2) Solo 5 647,748 6,952 161.7 All 33 1,302,344 18,525 853.1 514.7 (56) 75.0 (2) Southern ACT 66 3,470,450 20,102 1,532.5 2,146.8 (366) 273.0 (6) Solo 3 14,120 15,506 7.0 All 69 3,484,570 19,856 1,539.5 2,146.8 (366) 273.0 (6) Western ACT 19 320,377 8,436 389.7 78.7 (58) 61.0 (0) Solo 26 660,265 8,611 931.5 All 45 980,642 8,552 1,321.2 78.7 (58) 61.0 (0) ALL ACT 182 6,560,512 17,396 4,480.4 4,484.2 (855) 481.9 (14) Solo 41 1,818,999 9,714 1,235.2 All 223 8,379,511 15,939 5,715.6 4,484.2 (855) 481.9 (14) ACT denotes Anesthesia Care Team (Number in parenthesis indicate the number of non-employed FTEs) 59

Continued from page 58 Table 1 provides the overall survey results by reported managed care contract. As with previous surveys, we requested that participants submit data on five commercial contracts. Table 2 provides respondent demographics by region of the country as identified by the Medical Group Management Association (MGMA). These regions are as follows: n Eastern: CT, DE, DC, ME, MD, MA, NH, NJ, NY, NC, PA, RI, VT, VA, WV n Midwestern: IL, IN, IA, MI, MN, NE, ND, OH, SD, WI n Southern: AL, AR, FL, GA, KS, KY, LA, MS, MO, OK, SC, TN, TX n Western: AK, AZ, CA, CO, HI, ID, MT, NV, NM, OR, UT, WA, WY The survey reflects valid responses from 223 practices in 44 states plus the District of Columbia, an increase from last year s survey. The 2012 survey results included 175 practices from 40 states and the District of Columbia. Methodology The survey was disseminated in June 2013. To comply with the principles established by the Department of Justice and the Federal Trade Commission in their 1996 Statements of Antitrust Enforcement Policy in Health Care, the survey requested data from respondents that were at least three months old. To comply with the statements, we are only able to provide aggregated data. Since some states did not respond and other states had insufficient response rates, we are unable to provide data on a state level. This is the third year that we offered the survey electronically through the website www.surveymonkey.com. ASA urged participation through various electronic mail offerings, including ASA committee listservers, ASAP (all-member weekly e-mail digest), Vital Signs (an electronic newsletter sent to all ASA Political Action Comittee contributors) and via the ASA website. The responses to the survey represented 325 unique practices. However, 102 respondents indicated they had at least one commercial contract (non-governmental payer) but then failed to provide any data. We excluded these responses for the overall analysis. Table 2 (page 59) presents demographic information for the 223 practices in the analytic sample. These practices employ or contract with 5,716 physician anesthesiologists, 4,485 nurse anesthetists and 482 anesthesiologist assistants (AAs). The practices also work with an additional 885 nurse anesthetists and 14 AAs for whom the practice does not directly pay compensation (i.e., facility hires or contracts the nurse anesthetist or AA). The 223 practices account for a total of 871 managed care contracts. Continued on page 62 Table 3: Conversion Factor Adjustment Based on Time Units Base Units 5.78 Sum of Base and Time Units CF Value Ratio based for 15-minute units Minutes 87.92 10-minute time units 8.792 14.572 1.252 12-minute time units 7.327 13.107 1.126 15-minute time units 5.861 11.641 1.000 Median Base Unit and Time Unit taken from MGMA 2013 Cost Survey for Anesthesia and Pain Practices, Table 1.9f. Table 4: Influence of Selected Variables on Conversion Factor Variables Influence t-value p-value MGMA Region Varies 7.06 0.0001 FTE Anesthesiologists + 56.45 <0.0001 Total Anesthesia Cases + 6.46 0.0113 Total Nurse Anesthetists - 18.51 <0.0001 Payer Percentage of Practice - 8.56 0.0036 60

61

Continued from page 60 Eight hundred eleven of the contracts are based upon a 15-minute unit, 18 upon a 12-minute unit, 31 are based upon a 10-minute unit and eight are based upon a mixture of 15-minute units for two-four hours and then change to a 10-minute unit. We normalized all contract conversion factors with 10- and 12-minute time units to the typical 15-minute time unit using an adjustment factor of 1.252 for 10-minute units and 1.126118 for 12-minute units (Table 3). Similar to the 2012 survey, the adjustment factors are calculated as ratios based on the average number of time and base units per case. To make these calculations, we used the national medians published in the MGMA Cost Survey for Anesthesia and Pain Management Practices 2013 Report Based on 2012 Data. We will continue to monitor the trend in the commercial conversion factor survey results and will launch the survey again in June 2014. It is important that as many practices as possible participate in the survey to help us obtain an accurate representation of the anesthesia commercial conversion factor. We look forward to your future participation and thank all of the practices that contributed to the 2013 results. We used generalized linear regression analysis to investigate the effect of various demographic and sampled factors upon the managed care conversion factor. The model accounted for 18.5 percent (R2=0.185, F value =7.49, p<0.0001) of the variability of managed care conversion factors on the following factors: MGMA Region, Number of Full-Time Equivalent (FTE) Anesthesiologists, Total Anesthesia Cases, Total Nurse Anesthetists and Payer Percentage of Practice (Table 4). Most of these findings are not surprising. Practice location has always driven managed care contracts. Larger anesthesia groups measured either by number of anesthesiologists or number of anesthesia cases may have more bargaining power. Similarly, managed care payers who represent a larger portion of the market have increased market power and drive prices down. We have no explanation why increasing numbers of nurse anesthetists would decrease managed care conversion factors. We pooled all contracts for each region and had sufficient contracts to report regional findings (Figures 2a, 2b). Each of the regions is shown as a histogram with the probability curve. Table 5 (page 63) reports each region s managed care contracts. Contract 1 reflected the highest percentage of the reported commercial business; Contract 2 reflected the second highest percentage, and so on. Thus, when looking at the data, you can see that Contract 1 not only reflects the greatest number of responses (223) but also the highest average percentage of managed care business (20.4 percent). We also reported the number of responses for each contract in Table 1. Observations Based on our review of the analysis, the most interesting findings include: n The national average conversion factor increased from a range of $64.80 $71.44 in 2012 to a range of $70.33 $73.82. In addition, the median conversion factor increased from a range of $66.70 $68 in 2012 to $66 and $69. n Conversion factors across the country are similar, with the Eastern Region still having the highest. n Every region and nearly every contract category had a reported conversion factor high of at least $148. The highest conversion factor reported was $250.40. Conclusions This year s survey represents the largest sample size of all ASA CF surveys. The survey median increased from 2012, with a national median of $67.61 (mean $71.69). The ranges of rates, shown in the figures, show less variance of conversion factors. The increased median conversion factor is likely due to a narrowing of the range of conversion factors trending slightly upward. We will continue to monitor the trend in the commercial conversion factor survey results and will launch the survey again in June 2014. It is important that as many practices as possible participate in the survey to help us obtain an accurate representation of the anesthesia commercial conversion factor. We look forward to your future participation and thank all of the practices that contributed to the 2013 results. References: 1. MGMA DataDive 2013 Cost Survey for Anesthesia and Pain Management Practices (Anesthesia and Pain Management Data Only). Englewood, CO: Medical Group Management Association; 2013. 62

Table 5: Regional Managed Care Anesthesia Conversion Factors ($), 2013 Contract 1 Contract 2 Contract 3 Contract 4 Contract 5 ALL Eastern n=76 n=72 n=64 n=50 n=37 n=299 Mean 75.89 76.73 75.66 77.49 74.75 76.17 Low 48.00 42.00 36.00 50.00 49.80 36.00 25th Percentile 64.48 63.50 61.50 65.00 62.00 64.00 Median 69.74 72.07 72.77 76.13 69.00 72.00 75th Percentile 81.70 87.00 85.93 88.00 84.00 85.86 High 150.00 150.00 150.00 115.00 107.67 150.00 Midwest n=33 n=31 n=29 n=24 n=18 n=135 Mean 69.43 71.02 71.88 71.10 72.74 71.06 Low 50.00 38.00 45.00 52.00 56.00 38.00 25th Percentile 60.00 60.00 62.50 60.50 60.00 60.00 Median 63.30 65.31 68.00 67.00 68.75 65.31 75th Percentile 74.71 81.00 82.50 77.50 75.00 80.00 High 105.00 150.00 104.50 110.00 124.50 150.00 Southern n=69 n=63 n=57 n=40 n=30 n=259 Mean 67.05 68.52 69.20 71.36 73.41 69.28 Low 45.00 45.00 42.50 44.00 45.00 42.50 25th Percentile 56.34 57.00 60.00 58.50 56.00 57.00 Median 62.00 67.20 67.00 70.00 65.97 65.93 75th Percentile 68.00 80.00 75.70 75.03 78.00 74.14 High 250.40 118.61 129.15 178.20 158.40 250.40 Western n=45 n=44 n=38 n=32 n=19 n=178 Mean 66.59 65.49 69.78 68.86 73.70 68.17 Low 32.00 40.00 51.00 50.00 60.00 32.00 25th Percentile 58.54 58.45 58.25 60.25 62.00 59.00 Median 65.00 61.72 65.00 65.00 69.60 64.00 75th Percentile 71.00 72.00 73.00 73.25 80.00 73.00 High 125.00 125.00 148.00 125.00 125.00 148.00 63