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Antibiotic Prescribing at CHOP: Primary Care. Jeffrey S. Gerber MD, PhD, MSCE Division of Infectious Diseases The Children’s Hospital of Philadelphia. Study Team. Primary Care Pediatrics Bob Grundmeier , Alex Fiks , Mort Wasserman General Pediatrics Lou Bell, Ron Keren
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Antibiotic Prescribing at CHOP: Primary Care Jeffrey S. Gerber MD, PhD, MSCE Division of Infectious Diseases The Children’s Hospital of Philadelphia
Study Team • Primary Care Pediatrics Bob Grundmeier, Alex Fiks, Mort Wasserman • General Pediatrics Lou Bell, Ron Keren • Pediatric Infectious Diseases Theo Zaoutis, Priya Prasad, Jeff Gerber • Biostatistics/data management Russell Localio, LihaiSong • PeRC Administrator Jim Massey
Agenda • Rationale for assessing antibiotic use • Antibiotic prescribing data • across-practice analyses • within-clinician analyses • Intervention
Agenda • Rationale for assessing antibiotic use • Antibiotic prescribing data • across-practice analyses • within-clinician analyses • Intervention
AHRQ Goal To implement and evaluate evidence-based methods or strategies for reducing the inappropriate use of antibiotics in primary care office practices • must address: • conditions for which abx are not effective • broad-spectrum antibiotic use when narrow-spectrum antibiotics are indicated
Background • about half of antibiotic use is unnecessary • overuse well-documented in primary care • antibiotic overuse leads to: • bacterial resistance • drug-related adverse events • increases in health care costs • $20 billion estimated by IOM
Resistance Aside. . . • 5%–25% diarrhea • 1 in 1000 visit emergency department for adverse effect of antibiotic • comparable to insulin, warfarin, and digoxin • 1 in 4000 chance that an antibiotic will prevent serious complication from URI Shehab N. CID 2008:47; Linder JA. CID 2008:47
Antimicrobial Stewardship • Antimicrobial Stewardship Programs recommended for hospitals • most antibiotic use (and misuse) occurs in the outpatient setting • is outpatient “stewardship” achievable?
Agenda • Rationale for assessing antibiotic use • Antibiotic prescribing data • across-practice analyses • within-clinician analyses • Intervention
Study Setting: CHOP Care Network • 5 urban, academic • 24 “private”practices • urban, suburban, rural • common EHR
Case Definitions • ICD9 codes for common infections (+/- GAS testing, antibiotic use) verified by chart review and provider feedback • Excluding: • antibiotic allergy • visit within prior 3 months with antibiotic • concurrent bacterial infection • AOM, SSTI, UTI, lyme, acne, chronic sinusitis, mycoplasma, scarlet fever, animal bite, proph, oral infections, pertussis, STD, bone/joint • complex chronic conditions (Feudtner, Pediatrics 2000)
Broad-Spectrum Antibiotics • amoxicillin-clavulanate • cephalosporins • azithromycin* *not considered broad-spectrum therapy for pneumonia
Table 1. Demographic characteristics of the study cohort, by site
1,296,517 Encounters 666,015 phone, refills 230,709 preventive 630,502 office visits 399,793 sick visits 36,744 visits w/ CCC 363,049 sick visits 260,947 no antibiotics 8,204 prior ABX 102,102 antibiotic Rx 14,298 ABX allergy 51,421 narrow ABX 29,635 broad ABX
Antibiotic Prescribing for Sick Visits Excluding: preventive visits, CCC Standardized by: age, sex, age-sex, race, Medicaid
Antibiotic Prescribing: Std for ARTI Dx Excluding: preventive visits, CCC Standardized by: age, sex, age-sex, race, Medicaid, ARTI Dx
Broad Antibiotic Prescribing Excluding: preventive visits, CCC, antibiotic allergy, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Broad Antibiotics: Std ARTI Dx Excluding: preventive visits, CCC, antibiotic allergy, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid, ARTI Dx
Diagnosis rate of AOM Excluding: preventive visits, CCC, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Broad Antibiotics for AOM Excluding: preventive visits, CCC, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Broad Antibiotics for Sinusitis Excluding: preventive visits, CCC, antibiotic allergy, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Broad Antibiotics for GAS pharyngitis Excluding: preventive visits, CCC, antibiotic allergy, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Broad Antibiotics for Pneumonia Excluding: preventive visits, CCC, antibiotic allergy, prior antibiotics Standardized by: age, sex, age-sex, race, Medicaid
Summary of variability data • antibiotic prescribing at sick visits varies significantly across practice sites • broad-spectrum antibiotic prescribing at sick visits varies significantly across practice sites • the rate of diagnosis of ARTIs varies significantly across practice sites • adherence to prescribing guidelines for AOM, sinusitis, GAS pharyngitis, and pneumonia varies significantly across practice sites
Agenda • Rationale for assessing antibiotic use • Antibiotic prescribing data • across-practice analyses • within-clinician analyses • Intervention
Antibiotic Prescribing by Patient Race • within clinician analyses of antibiotic prescribing and diagnoses in same cohort • Excluding: • complex chronic conditions • preventive visits, asthma, (allergy, prior antibiotics) • Adjusted for: • sex, age category (0-1; 1-5; 6-10; 11-18) • Medicaid, site
Antibiotic Prescribing by Patient Race Receipt of antibiotic prescription per SICK VISIT: • Excluding: CCC, asthma • Adjusted for: age category, sex, Medicaid
Visit Rate by Patient Race Sick visits per year by race:
Antibiotic Prescribing by Patient Race Receipt of antibiotic prescription per CHILD: • Excluding: CCC • Adjusted for: age category, sex, Medicaid
Diagnosis by Patient Race Diagnosis of various ARTIs: • Excluding: CCC, asthma • Adjusted for: age category, sex, Medicaid
Antibiotic Prescribing by Patient Race Receipt of broad-spectrum antibiotic (if any antibiotic prescribed) • Excluding: CCC, asthma, allergy • Adjusted for: age category, sex, Medicaid
Antibiotic Prescribing by Patient Race Receipt of broad antibiotics for ARTI: • Excluding: CCC, asthma, allergy • Adjusted for: age category, sex, Medicaid
Summary of race data • black children receive fewer antibiotic prescriptions per sick visit and per child than non-black children • black children are diagnosed with less ARTI than non-black children • when diagnosed with AOM, black children receive more appropriate (i.e. less broad-spectrum) antibiotics • black children have less sick visits than non-black children (but equal number of well visits)
Why? • confounding? • difference in epidemiology of disease, including BOTH prevalence and severity of illness linked with race? • parental expectations/pressure linked with race? • perception of parental expectations/pressure linked with race?
Agenda • Rationale for assessing antibiotic use • Antibiotic prescribing data • across-practice analyses • within-clinician analyses • Intervention
Specific Aim • To determine the impact of an outpatient antimicrobial stewardship bundle within a pediatric primary care network on antibiotic prescribing for common ARTI: • Antibiotic prescribing for viral infections • Broad-spectrum antibiotic prescribing for conditions for which narrow-spectrum antibiotics are indicated.
Study Design • cluster-randomized controlled trial • bundled intervention vs. no intervention • unit of observation will be the practitioner but randomized at practice level • natural distribution of physicians • avoids intra-practice contamination
Intervention • guideline development • education • audit and feedback
Why Might Unnecessary Prescribing Occur? Parental Expectations Antibiotic Prescribing Diagnostic Challenges Time Constraints Knowledge Gaps Prescribing Awareness
Why Might Unnecessary Prescribing Occur? Parental Expectations Antibiotic Prescribing Diagnostic Challenges Time Constraints Knowledge Gaps Prescribing Awareness
Hypotheses • clinicians have incomplete knowledge of the data regarding the effectiveness of antibiotics for respiratory tract infections • GAS and broad spectrum antibiotics • antibiotic activity against pneumococcus • prevention of bacterial superinfection • role of moraxella and Hflu in disease • clinicians are unaware of/have not been presented with data regarding their own prescribing of antibiotics
Education • on site, interactive sessions for each practice randomized to the intervention • present the purpose of the study • discuss guideline development/contents • instruct how to access guidelines • explain audit & feedback • present baseline data • gather feedback
Guidelines • review AAP and Red Book guidelines • pediatric primary care/ID/clinical pharmacy • modified if necessary • generate benchmarks
GAS: Rationale for penicillin/amox • GAS resistance to pcn has NEVER been seen • azithromycin and cephalosporins • have NOT been shown to be superior for pharyngitis or for prevention of sequelae • data does not support increased patient compliance over oral penicillin or amoxicillin. • exposure promotes resistance to these and other antibiotics. • AAP/Red Book endorsed
Guideline Access • email (pdf) • EPIC link: • linked to chief complaint • NOT decision support • optional • no workflow interruption PARTI
Study Setting: CHOP Care Network • 5 urban, academic • 24 “private” practices • urban • suburban • rural
Outcomes VIRAL common cold URI acute bronchitis tonsillitis pharyngitis (non-strep) no antibiotics BACTERIAL acute sinusitis Strep pharyngitis pneumonia penicillin/amoxicillin
Case Definitions • ICD9 codes for common infections (+/- GAS testing, antibiotic use) verified by chart review and provider feedback • Excluding: • antibiotic allergy • visit within prior 3 months with antibiotic • concurrent bacterial infection • AOM, SSTI, UTI, lyme, acne, chronic sinusitis, mycoplasma, scarlet fever, animal bite, proph, oral infections, pertussis, STD, bone/joint • children with complex chronic diseases