Reducing Antibiotic Prescribing in Family Practice
Primary Purpose
Acute Respiratory Tract Infection
Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
DART QI Program Participation
Sponsored by
About this trial
This is an interventional treatment trial for Acute Respiratory Tract Infection
Eligibility Criteria
Inclusion Criteria:
- Children or adults with acute respiratory tract infections (ARTIs) defined as bacterial (acute otitis media [AOM], pharyngitis, and sinusitis) or viral (bronchitis and viral upper respiratory infection [URI]) based on their common etiologies.
- Seven months old and older
Exclusion Criteria:
1. 0 - 6 months old
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Arm Type
Active Comparator
No Intervention
Arm Label
Intervention Group Providers
Control Group Providers
Arm Description
DART QI Program Participation
Usual Care
Outcomes
Primary Outcome Measures
Overall antibiotic prescribing rates for pediatric and adult ARTIs.
The primary outcome of overall antibiotic prescribing rates for ARTIs will be assessed by calculating the number of eligible ARTI visits occurring within a measurement period (measure denominator) where antibiotics were prescribed (numerator). This outcome will be assessed separately for the eligible pediatric (6 months to 17 years-old) and adult (> 18 years-old) patients.
Secondary Outcome Measures
First-line antibiotic prescribing rates for pediatric and adult bacterial ARTIs.
The secondary outcome of first-line antibiotic prescribing rates for bacterial ARTIs will be assessed by calculating the number of eligible bacterial ARTI visits occurring within a measurement period (measure denominator) where first-line antibiotics were prescribed (numerator). This outcome will be assessed separately for the eligible pediatric (6 months to 17 years-old) and adult (> 18 years-old) patients.
Net cost of delivering the DART QI program
The net cost of delivering the intervention will be calculated as the difference between the total costs (sum of antibiotic prescription, intervention delivery, and return visit utilization costs) in the intervention and control groups.
Full Information
NCT ID
NCT03674775
First Posted
September 6, 2018
Last Updated
September 17, 2019
Sponsor
Seattle Children's Hospital
1. Study Identification
Unique Protocol Identification Number
NCT03674775
Brief Title
Reducing Antibiotic Prescribing in Family Practice
Official Title
Dialogue Around Respiratory Illness Treatment for Family Practice (DART -FP)
Study Type
Interventional
2. Study Status
Record Verification Date
September 2019
Overall Recruitment Status
Not yet recruiting
Study Start Date
July 2022 (Anticipated)
Primary Completion Date
January 2025 (Anticipated)
Study Completion Date
June 2026 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Seattle Children's Hospital
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes
5. Study Description
Brief Summary
Antibiotic prescribing for childhood acute respiratory tract infections (ARTIs), including acute otitis media (AOM), pharyngitis, sinusitis, bronchitis, and upper respiratory infection (URI), is common in the United States (US). In the outpatient setting, more than 50% of children diagnosed with ARTIs receive antibiotic prescriptions. Considering that the estimated US prevalence of pediatric bacterial ARTIs is 27% (with the remainder of ARTIs caused by viruses) this represents a substantial degree of antibiotic overuse nationwide. Another troubling trend in antibiotic prescribing for ARTIs in children is the increased reliance on broad-spectrum, second-line agents for bacterial ARTIs. Unwarranted use of antibiotics, especially broad-spectrum agents, has been associated with increased resistance among several strains of bacteria that commonly cause ARTIs, posing risks to both individuals and communities.
Detailed Description
Provider-parent communication during ARTI visits often drives unwarranted antibiotic prescribing. Dr. Mangione-Smith (proposed principal investigator) and colleagues developed a quality improvement (QI) intervention for pediatric providers called the Dialogue Around Respiratory Illness Treatment (DART) program. The DART QI program is a multifaceted, web-based intervention that is delivered asynchronously over a 9-month period and takes a total of 2 hours to complete. DART's content is based on over a decade of observational research conducted by Mangione-Smith et al focused on optimizing provider-parent communication during pediatric ARTI visits in order to reduce unnecessary antibiotic prescribing while still maintaining parent satisfaction with care.[cites] The DART program also includes content related to evidence-based antibiotic prescribing with a particular focus on reducing the use of second-line, broad-spectrum antibiotics for bacterial ARTIs.
Under funding from the Eunice Kennedy National Institute for Child Health and Human Development (NICHD), the investigators recently conducted a trial of the DART QI program with 55 providers from 20 practices belonging to one of two pediatric practice-based research networks: the Pediatric Research in Office Settings (PROS) and NorthShore University Health System networks. Exposure to the DART QI program resulted in an proportional decrease from for overall antibiotic prescribing rates for ARTIs and a proportional decrease from for the use of second-line antibiotics for bacterial ARTIs comparing the baseline to the post-intervention periods.
The DART QI Program represents a new, innovative tool to address antibiotic over-use for ARTIs in the pediatric outpatient setting. However, it is unclear whether the program will be effective when disseminated to the family practice clinical setting where 23% of children receive their acute illness care nationally. It is also unclear how exposure to the communication strategies outlined in the DART QI program may influence provider-patient communication during adult encounters for ARTI.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Acute Respiratory Tract Infection
7. Study Design
Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
cluster randomized control trial
Masking
None (Open Label)
Allocation
Randomized
Enrollment
180 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Intervention Group Providers
Arm Type
Active Comparator
Arm Description
DART QI Program Participation
Arm Title
Control Group Providers
Arm Type
No Intervention
Arm Description
Usual Care
Intervention Type
Other
Intervention Name(s)
DART QI Program Participation
Intervention Description
Antibiotic prescribing data will be collected at multiple time points both before and after the initiation of the intervention.
Primary Outcome Measure Information:
Title
Overall antibiotic prescribing rates for pediatric and adult ARTIs.
Description
The primary outcome of overall antibiotic prescribing rates for ARTIs will be assessed by calculating the number of eligible ARTI visits occurring within a measurement period (measure denominator) where antibiotics were prescribed (numerator). This outcome will be assessed separately for the eligible pediatric (6 months to 17 years-old) and adult (> 18 years-old) patients.
Time Frame
The primary outcomewill be collected for all participating providers (both intervention and control) during a 30-month period beginning with baseline data collection.
Secondary Outcome Measure Information:
Title
First-line antibiotic prescribing rates for pediatric and adult bacterial ARTIs.
Description
The secondary outcome of first-line antibiotic prescribing rates for bacterial ARTIs will be assessed by calculating the number of eligible bacterial ARTI visits occurring within a measurement period (measure denominator) where first-line antibiotics were prescribed (numerator). This outcome will be assessed separately for the eligible pediatric (6 months to 17 years-old) and adult (> 18 years-old) patients.
Time Frame
The secondary outcome will be collected for all participating providers (both intervention and control) during a 30-month period beginning with baseline data collection.
Title
Net cost of delivering the DART QI program
Description
The net cost of delivering the intervention will be calculated as the difference between the total costs (sum of antibiotic prescription, intervention delivery, and return visit utilization costs) in the intervention and control groups.
Time Frame
This outcome will be collected for all participating providers (both intervention and control) during a 30-month period beginning with baseline data collection.
10. Eligibility
Sex
All
Minimum Age & Unit of Time
6 Months
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Children or adults with acute respiratory tract infections (ARTIs) defined as bacterial (acute otitis media [AOM], pharyngitis, and sinusitis) or viral (bronchitis and viral upper respiratory infection [URI]) based on their common etiologies.
Seven months old and older
Exclusion Criteria:
1. 0 - 6 months old
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Rita Mangione-Smith, MD, MPH
Phone
206-884-8242
Email
Rita.Mangione-Smith@seattlechildrens.org
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Rita Mangione-Smith, MD, MPH
Organizational Affiliation
Seattle Children's
Official's Role
Principal Investigator
12. IPD Sharing Statement
Plan to Share IPD
No
Citations:
PubMed Identifier
19690308
Citation
Grijalva CG, Nuorti JP, Griffin MR. Antibiotic prescription rates for acute respiratory tract infections in US ambulatory settings. JAMA. 2009 Aug 19;302(7):758-66. doi: 10.1001/jama.2009.1163.
Results Reference
background
PubMed Identifier
22065263
Citation
Hersh AL, Shapiro DJ, Pavia AT, Shah SS. Antibiotic prescribing in ambulatory pediatrics in the United States. Pediatrics. 2011 Dec;128(6):1053-61. doi: 10.1542/peds.2011-1337. Epub 2011 Nov 7.
Results Reference
background
PubMed Identifier
25225144
Citation
Kronman MP, Zhou C, Mangione-Smith R. Bacterial prevalence and antimicrobial prescribing trends for acute respiratory tract infections. Pediatrics. 2014 Oct;134(4):e956-65. doi: 10.1542/peds.2014-0605. Epub 2014 Sep 15.
Results Reference
background
PubMed Identifier
27139059
Citation
Fleming-Dutra KE, Hersh AL, Shapiro DJ, Bartoces M, Enns EA, File TM Jr, Finkelstein JA, Gerber JS, Hyun DY, Linder JA, Lynfield R, Margolis DJ, May LS, Merenstein D, Metlay JP, Newland JG, Piccirillo JF, Roberts RM, Sanchez GV, Suda KJ, Thomas A, Woo TM, Zetts RM, Hicks LA. Prevalence of Inappropriate Antibiotic Prescriptions Among US Ambulatory Care Visits, 2010-2011. JAMA. 2016 May 3;315(17):1864-73. doi: 10.1001/jama.2016.4151.
Results Reference
background
PubMed Identifier
17656505
Citation
Chung A, Perera R, Brueggemann AB, Elamin AE, Harnden A, Mayon-White R, Smith S, Crook DW, Mant D. Effect of antibiotic prescribing on antibiotic resistance in individual children in primary care: prospective cohort study. BMJ. 2007 Sep 1;335(7617):429. doi: 10.1136/bmj.39274.647465.BE. Epub 2007 Jul 26.
Results Reference
background
PubMed Identifier
20483949
Citation
Costelloe C, Metcalfe C, Lovering A, Mant D, Hay AD. Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta-analysis. BMJ. 2010 May 18;340:c2096. doi: 10.1136/bmj.c2096.
Results Reference
background
PubMed Identifier
15708101
Citation
Goossens H, Ferech M, Vander Stichele R, Elseviers M; ESAC Project Group. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet. 2005 Feb 12-18;365(9459):579-87. doi: 10.1016/S0140-6736(05)17907-0.
Results Reference
background
PubMed Identifier
27825306
Citation
Michaelidis CI, Fine MJ, Lin CJ, Linder JA, Nowalk MP, Shields RK, Zimmerman RK, Smith KJ. The hidden societal cost of antibiotic resistance per antibiotic prescribed in the United States: an exploratory analysis. BMC Infect Dis. 2016 Nov 8;16(1):655. doi: 10.1186/s12879-016-1990-4.
Results Reference
background
Citation
Centers for Disaese Control and Prevention Antibiotic resistance threats in the United States, 2013. 2013; http://www.cdc.gov/drugresistance/threat Accessed July 25, 2018.
Results Reference
background
PubMed Identifier
24488744
Citation
Vaz LE, Kleinman KP, Raebel MA, Nordin JD, Lakoma MD, Dutta-Linn MM, Finkelstein JA. Recent trends in outpatient antibiotic use in children. Pediatrics. 2014 Mar;133(3):375-85. doi: 10.1542/peds.2013-2903. Epub 2014 Feb 2.
Results Reference
background
PubMed Identifier
23887867
Citation
Shapiro DJ, Hicks LA, Pavia AT, Hersh AL. Antibiotic prescribing for adults in ambulatory care in the USA, 2007-09. J Antimicrob Chemother. 2014 Jan;69(1):234-40. doi: 10.1093/jac/dkt301. Epub 2013 Jul 25.
Results Reference
background
PubMed Identifier
11434847
Citation
Mangione-Smith R, McGlynn EA, Elliott MN, McDonald L, Franz CE, Kravitz RL. Parent expectations for antibiotics, physician-parent communication, and satisfaction. Arch Pediatr Adolesc Med. 2001 Jul;155(7):800-6. doi: 10.1001/archpedi.155.7.800.
Results Reference
background
PubMed Identifier
16953018
Citation
Mangione-Smith R, Elliott MN, Stivers T, McDonald LL, Heritage J. Ruling out the need for antibiotics: are we sending the right message? Arch Pediatr Adolesc Med. 2006 Sep;160(9):945-52. doi: 10.1001/archpedi.160.9.945.
Results Reference
background
PubMed Identifier
25964399
Citation
Mangione-Smith R, Zhou C, Robinson JD, Taylor JA, Elliott MN, Heritage J. Communication practices and antibiotic use for acute respiratory tract infections in children. Ann Fam Med. 2015 May-Jun;13(3):221-7. doi: 10.1370/afm.1785.
Results Reference
background
PubMed Identifier
23757082
Citation
Gerber JS, Prasad PA, Fiks AG, Localio AR, Grundmeier RW, Bell LM, Wasserman RC, Keren R, Zaoutis TE. Effect of an outpatient antimicrobial stewardship intervention on broad-spectrum antibiotic prescribing by primary care pediatricians: a randomized trial. JAMA. 2013 Jun 12;309(22):2345-52. doi: 10.1001/jama.2013.6287.
Results Reference
background
Citation
Merriam SB, Cafrrarella RS. Learing in Adulthood. San Francisco, CA: Jossey-Bass; 2008.
Results Reference
background
PubMed Identifier
7650822
Citation
Davis DA, Thomson MA, Oxman AD, Haynes RB. Changing physician performance. A systematic review of the effect of continuing medical education strategies. JAMA. 1995 Sep 6;274(9):700-5. doi: 10.1001/jama.274.9.700.
Results Reference
background
PubMed Identifier
23915885
Citation
Little P, Stuart B, Francis N, Douglas E, Tonkin-Crine S, Anthierens S, Cals JW, Melbye H, Santer M, Moore M, Coenen S, Butler C, Hood K, Kelly M, Godycki-Cwirko M, Mierzecki A, Torres A, Llor C, Davies M, Mullee M, O'Reilly G, van der Velden A, Geraghty AW, Goossens H, Verheij T, Yardley L; GRACE consortium. Effects of internet-based training on antibiotic prescribing rates for acute respiratory-tract infections: a multinational, cluster, randomised, factorial, controlled trial. Lancet. 2013 Oct 5;382(9899):1175-82. doi: 10.1016/S0140-6736(13)60994-0. Epub 2013 Jul 31.
Results Reference
background
PubMed Identifier
22302780
Citation
Butler CC, Simpson SA, Dunstan F, Rollnick S, Cohen D, Gillespie D, Evans MR, Alam MF, Bekkers MJ, Evans J, Moore L, Howe R, Hayes J, Hare M, Hood K. Effectiveness of multifaceted educational programme to reduce antibiotic dispensing in primary care: practice based randomised controlled trial. BMJ. 2012 Feb 2;344:d8173. doi: 10.1136/bmj.d8173.
Results Reference
background
PubMed Identifier
15589666
Citation
Stivers T. Non-antibiotic treatment recommendations: delivery formats and implications for parent resistance. Soc Sci Med. 2005 Mar;60(5):949-64. doi: 10.1016/j.socscimed.2004.06.040.
Results Reference
background
PubMed Identifier
19638402
Citation
Pace WD, Cifuentes M, Valuck RJ, Staton EW, Brandt EC, West DR. An electronic practice-based network for observational comparative effectiveness research. Ann Intern Med. 2009 Sep 1;151(5):338-40. doi: 10.7326/0003-4819-151-5-200909010-00140. Epub 2009 Jul 28.
Results Reference
background
Citation
Ajzen I, Madden TJ. Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. Journal lof Experimental Social Psychology. 1986;22:453-474.
Results Reference
background
PubMed Identifier
24819580
Citation
Simon TD, Cawthon ML, Stanford S, Popalisky J, Lyons D, Woodcox P, Hood M, Chen AY, Mangione-Smith R; Center of Excellence on Quality of Care Measures for Children with Complex Needs (COE4CCN) Medical Complexity Working Group. Pediatric medical complexity algorithm: a new method to stratify children by medical complexity. Pediatrics. 2014 Jun;133(6):e1647-54. doi: 10.1542/peds.2013-3875. Epub 2014 May 12.
Results Reference
background
PubMed Identifier
20346624
Citation
Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ, Elbourne D, Egger M, Altman DG; Consolidated Standards of Reporting Trials Group. CONSORT 2010 Explanation and Elaboration: Updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol. 2010 Aug;63(8):e1-37. doi: 10.1016/j.jclinepi.2010.03.004. Epub 2010 Mar 25. Erratum In: J Clin Epidemiol. 2012 Mar;65(3):351.
Results Reference
background
PubMed Identifier
29496546
Citation
Simon TD, Haaland W, Hawley K, Lambka K, Mangione-Smith R. Development and Validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0. Acad Pediatr. 2018 Jul;18(5):577-580. doi: 10.1016/j.acap.2018.02.010. Epub 2018 Feb 26.
Results Reference
background
PubMed Identifier
1607900
Citation
Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992 Jun;45(6):613-9. doi: 10.1016/0895-4356(92)90133-8.
Results Reference
background
PubMed Identifier
16224307
Citation
Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005 Nov;43(11):1130-9. doi: 10.1097/01.mlr.0000182534.19832.83.
Results Reference
background
Citation
Gelman A, Hillman J. Data analysis using regression and multilevel/hierarchical models. Cambridge: Cambridge University Press; 2007.
Results Reference
background
Citation
Goldstein H. Multilevel statistical models. 4th ed: Wiley; 2010.
Results Reference
background
Citation
Raudenbush SW, Bryk AS. Heirarchical linear models: applications and data analysis methods. 2nd ed: Sage; 2002.
Results Reference
background
PubMed Identifier
24472122
Citation
Wright DR, Taveras EM, Gillman MW, Horan CM, Hohman KH, Gortmaker SL, Prosser LA. The cost of a primary care-based childhood obesity prevention intervention. BMC Health Serv Res. 2014 Jan 29;14:44. doi: 10.1186/1472-6963-14-44.
Results Reference
background
PubMed Identifier
24887208
Citation
Xu X, Grossetta Nardini HK, Ruger JP. Micro-costing studies in the health and medical literature: protocol for a systematic review. Syst Rev. 2014 May 21;3:47. doi: 10.1186/2046-4053-3-47.
Results Reference
background
Citation
Drummond MF, Sculpher MJ, Torrance GW, O'Brien BJ, Stodart GL. Methods of economic evaluation of health care programmes. 3rd ed. New York: Oxford University Press; 2005.
Results Reference
background
PubMed Identifier
23507206
Citation
Jenkins TC, Irwin A, Coombs L, Dealleaume L, Ross SE, Rozwadowski J, Webster B, Dickinson LM, Sabel AL, Mackenzie TD, West DR, Price CS. Effects of clinical pathways for common outpatient infections on antibiotic prescribing. Am J Med. 2013 Apr;126(4):327-335.e12. doi: 10.1016/j.amjmed.2012.10.027.
Results Reference
background
PubMed Identifier
11462184
Citation
Pihlajamaki M, Kotilainen P, Kaurila T, Klaukka T, Palva E, Huovinen P; Finnish Study Group for Antimicrobial Resistance (FiRe-Network). Macrolide-resistant Streptococcus pneumoniae and use of antimicrobial agents. Clin Infect Dis. 2001 Aug 15;33(4):483-8. doi: 10.1086/322735. Epub 2001 Jul 20.
Results Reference
background
PubMed Identifier
29426305
Citation
Brennan-Krohn T, Ozonoff A, Sandora TJ. Adherence to guidelines for testing and treatment of children with pharyngitis: a retrospective study. BMC Pediatr. 2018 Feb 9;18(1):43. doi: 10.1186/s12887-018-0988-z.
Results Reference
background
PubMed Identifier
29273976
Citation
Hersh AL, Shapiro DJ, Pavia AT, Fleming-Dutra KE, Hicks LA. Geographic Variability in Diagnosis and Antibiotic Prescribing for Acute Respiratory Tract Infections. Infect Dis Ther. 2018 Mar;7(1):171-174. doi: 10.1007/s40121-017-0181-y. Epub 2017 Dec 22.
Results Reference
background
PubMed Identifier
26582868
Citation
Gerber JS, Prasad PA, Russell Localio A, Fiks AG, Grundmeier RW, Bell LM, Wasserman RC, Keren R, Zaoutis TE. Variation in Antibiotic Prescribing Across a Pediatric Primary Care Network. J Pediatric Infect Dis Soc. 2015 Dec;4(4):297-304. doi: 10.1093/jpids/piu086. Epub 2014 Oct 30.
Results Reference
background
PubMed Identifier
24846041
Citation
Barnett ML, Linder JA. Antibiotic prescribing for adults with acute bronchitis in the United States, 1996-2010. JAMA. 2014 May 21;311(19):2020-2. doi: 10.1001/jama.2013.286141. No abstract available.
Results Reference
background
PubMed Identifier
27775770
Citation
Hersh AL, Fleming-Dutra KE, Shapiro DJ, Hyun DY, Hicks LA; Outpatient Antibiotic Use Target-Setting Workgroup. Frequency of First-line Antibiotic Selection Among US Ambulatory Care Visits for Otitis Media, Sinusitis, and Pharyngitis. JAMA Intern Med. 2016 Dec 1;176(12):1870-1872. doi: 10.1001/jamainternmed.2016.6625. No abstract available.
Results Reference
background
PubMed Identifier
28870173
Citation
Tyrstrup M, Melander E, Hedin K, Beckman A, Molstad S. Children with respiratory tract infections in Swedish primary care; prevalence of antibiotic resistance in common respiratory tract pathogens and relation to antibiotic consumption. BMC Infect Dis. 2017 Sep 4;17(1):603. doi: 10.1186/s12879-017-2703-3.
Results Reference
background
PubMed Identifier
24708839
Citation
Cabral C, Horwood J, Hay AD, Lucas PJ. How communication affects prescription decisions in consultations for acute illness in children: a systematic review and meta-ethnography. BMC Fam Pract. 2014 Apr 8;15:63. doi: 10.1186/1471-2296-15-63.
Results Reference
background
PubMed Identifier
12585992
Citation
Stivers T, Mangione-Smith R, Elliott MN, McDonald L, Heritage J. Why do physicians think parents expect antibiotics? What parents report vs what physicians believe. J Fam Pract. 2003 Feb;52(2):140-8.
Results Reference
background
Citation
Basu, A. Estimating costs and valuations of non-health benefits. 2nd ed. New York: Oxford University Press; 2017.
Results Reference
background
Citation
Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for Economic Evaluation of Health Care Programmes. New York: Oxford University Press; 2015.
Results Reference
background
Citation
Tang S. Profile of Pediatric Visits 2004-2007. American Academy of Pediatrics, 2010.
Results Reference
background
Links:
URL
https://clinicaltrials.gov/ct2/show/study/NCT02943551?term=Mangione-Smith&rank=1
Description
Mangione-Smith R. Dialogue Around Respiratory Treatment (DART). 2018; Accessed 07/31/18.
URL
http://www.cms.gov/apps/physician-fee-schedule/overview.aspx
Description
CMS Physician Fee Schedule. Accessed 9/14/18.
Learn more about this trial
Reducing Antibiotic Prescribing in Family Practice
We'll reach out to this number within 24 hrs