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Volume 11, Number 6—June 2005

Impact of Statewide Program To Promote Appropriate Antimicrobial Drug Use

Edward A. Belongia*Comments to Author , Mary Jo Knobloch*, Burney A. Kieke*, Jeffrey P. Davis‡, Carolyn Janette‡1, and Richard E. Besser§
Author affiliations: *Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA; †Wisconsin Division of Public Health, Madison, Wisconsin, USA; ‡Wisconsin Medical Society, Madison, Wisconsin, USA; §Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Cite This Article


The Wisconsin Antibiotic Resistance Network (WARN) was launched in 1999 to educate physicians and the public about judicious antimicrobial drug use. Public education included radio and television advertisements, posters, pamphlets, and presentations at childcare centers. Physician education included mailings, susceptibility reports, practice guidelines, satellite conferences, and presentations. We analyzed antimicrobial prescribing data for primary care physicians in Wisconsin and Minnesota (control state). Antimicrobial prescribing declined 19.8% in Minnesota and 20.4% in Wisconsin from 1998 to 2003. Prescribing by internists declined significantly more in Wisconsin than Minnesota, but the opposite was true for pediatricians. We conclude that the secular trend of declining antimicrobial drug use continued through 2003, but a large-scale educational program did not generate greater reductions in Wisconsin despite improved knowledge. State and local organizations should consider a balanced approach that includes limited statewide educational activities with increasing emphasis on local, provider-level interventions and policy development to promote careful antimicrobial drug use.

Antimicrobial drug–resistant strains of community-acquired pathogens, including Streptococcus pneumoniae and Staphylococcus aureus, have emerged as serious global health threats (13). Multiple studies have demonstrated a strong and consistent link between antimicrobial drug use and antimicrobial resistance at both individual and population levels (49). Despite this link, inappropriate and ineffective use of antimicrobial agents for viral respiratory infections is common (1016). In 1998, the Institute of Medicine issued a workshop report that addressed the growing problem of antimicrobial drug resistance and potential strategies to prolong the effectiveness of existing drugs (17). The report found that physicians and patients have not received adequate information about the appropriate use of antimicrobial drugs and the short- and long-term risks of overuse. Several approaches were suggested, including multifaceted clinician education, clinical practice protocols, feedback on local resistance trends, patient-oriented educational materials, and use of popular media for public education.

We describe the activities and impact of a 5-year, multifaceted educational campaign to reduce outpatient antimicrobial drug prescribing in Wisconsin. The Wisconsin Antibiotic Resistance Network (WARN) was launched in 1999 as a federally funded demonstration project to educate primary care physicians and the public about drug resistance and judicious antimicrobial drug use. Antimicrobial drug prescribing rates were assessed annually and compared to Minnesota prescribing rates, where educational activities were limited before 2002.


WARN Organization

WARN was established as a collaborative project involving the Marshfield Clinic Research Foundation, Wisconsin Medical Society, and Wisconsin Division of Public Health. The Wisconsin Medical Society collaborated with the Marshfield Clinic Research Foundation to develop the public education campaign, and the latter organization was responsible for data collection and evaluation. The Division of Public Health assisted with program planning and collected invasive pneumococcal isolates for susceptibility testing.

For most of the project period, WARN employed 2 program managers and 2 health educators. Representatives of each position were based in Madison and in Marshfield to cover the southern and northern parts of the state. An advisory board was established with representation from managed care organizations, employers, local public health agencies, primary care practices, infectious disease experts, childcare centers, pharmacists, and the Centers for Disease Control and Prevention. Campaign themes, characters, messages, and print materials were developed during the first year (1999). An expert panel was convened to develop local clinical practice guidelines for acute respiratory illness in Wisconsin. Educational needs were assessed through surveys of primary care clinicians and the general public (18). Limited public and physician educational activities were initiated in 2000, and the program was implemented in full from 2001 to 2003. Educational interventions were designed to be multifaceted and consistent with behavioral research that suggested a need for a variety of educational strategies with repetitive and reinforcing messages (1921).

Public and Physician Education

The tag lines for the public education campaign were "There's no excuse for overuse!" and "Get smart about antibiotics!" The campaign mascots, Annie Biotic and Moxie Cillin, were cartoon characters designed to appeal largely to children and parents. Public education materials included posters, brochures, stickers, coloring sheets, magnets, and disease-specific parent handouts (Table 1). All materials were available free of charge to healthcare providers, clinics, and community organizations. Spanish translations were also available for many of the written materials. A Web site was established through the Wisconsin Medical Society to describe WARN activities and facilitate ordering materials. The distribution volume for WARN educational materials is shown in Table 2.

Outreach to childcare centers was a major focus of community education because children attending group child care have high rates of respiratory illness. Annual mailings were sent to >5,000 licensed childcare centers, and on-site presentations were given at 170 centers. Additional presentations were made at childcare conferences and in college classes on early childhood education. Physician-education activities began in 2000 and included direct mailings with samples of WARN materials, development and distribution of guidelines for judicious antibiotic use, satellite broadcasts, dissemination of pneumococcal antimicrobial resistance data, and professional presentations (Table 1).

Media Campaign

The media campaign included paid advertising and strategies to maximize coverage. The campaign was launched with a press conference in 1999, followed by repeated news media coverage of WARN and antimicrobial resistance issues from 2000 through 2003 (Table 1). This coverage included newspaper reports in Milwaukee, Madison, and multiple smaller communities, as well as local television news stories in Milwaukee, Madison, and Wausau. Paid advertising was initiated on radio stations broadcasting throughout the state and on television stations. Because of the high cost, television advertisements were limited to periods of 2 to 4 weeks during the peak respiratory illness season.

Research Design and Outcome Measures

Multiple evaluation components were developed to measure the effect of the WARN educational campaign. The major outcome for this report was annual antimicrobial drug use, measured by the number of primary care prescriptions and the volume of retail antimicrobial drug sales.

During the late 1990s, a national secular trend of declining antimicrobial drug use occurred (2224). To distinguish the impact of WARN from the secular trend, antimicrobial drug–prescribing measures were obtained for both Wisconsin and Minnesota. Although Minnesota is not representative of the entire country, the use of a comparison state provided the opportunity to distinguish intervention-related changes from regional trends in use that were unrelated to the intervention. Minnesota was chosen for geographic proximity and similarity in terms of population size and ethnic distribution. Before 2002, patient educational activities in Minnesota were limited. A group of 6 Minnesota managed care plans distributed ≈17,000 cough and cold kits to patients during the 2000–2001 respiratory illness season, and 31,000 kits during the 2001–2002 season. An article promoting appropriate antimicrobial drug use was published in the April 2001 issue of Minnesota Medicine (25), but no other formal programs to educate Minnesota physicians on appropriate antimicrobial drug use were implemented until late 2002, when sample materials (posters, buttons, "prescription pads" for symptomatic therapy) were mailed to managers at 377 Minnesota clinics and urgent care centers.

Measures of Antimicrobial Drug Use

Prescribing data and retail volume distribution data (measuring retail sales) were obtained from a commercial source (IMS Health, Inc., Plymouth Meeting, PA, USA) for the states of Wisconsin and Minnesota. Physician prescribing data were available for 1998 and 2000 through 2003. Prescribing and volume distribution data were not available for individual drugs within each class. The source data did not include any information regarding the specific diagnosis or patient characteristics.

The prescribing databases included only new outpatient prescriptions, and they were derived from transactional data provided by 59% of all retail pharmacies in Wisconsin and Minnesota. Approximately 65% of chain pharmacies and 51% of independent retail pharmacies contributed raw prescribing data. Prescriptions from unsampled stores were estimated on the basis of prescription totals from matched nearby stores, with weighting to adjust for differences in total retail sales volume, which was available for nearly all stores. Estimates were also weighted to account for the distance between sampled stores and matched unsampled stores, with closer stores contributing more to the estimated prescription volume. The proportion of all prescriptions in each state that were based on estimated data from unsampled stores was 33%–37%.

Physician-level prescribing data included data for all licensed physicians with any of the following primary specialty codes: family (and general) practice, internal medicine, pediatrics, or emergency medicine. Physicians were classified geographically as practicing within or outside of the largest metropolitan statistical area in each state. These 2 metropolitan statistical areas were Milwaukee-Waukesha (4 counties) and Minneapolis-St. Paul (11 counties).

Retail volume distribution was determined by the volume of antimicrobial drugs distributed to retail outlets on a monthly basis from 1999 to 2002. This distribution was derived from an independent data source relative to the physician-level prescribing data. Retail distribution data (measured in kilograms) were reported by wholesalers and distributors serving pharmacies in both states. Retail volume was not linked to specific prescriptions or providers and therefore represented a measure of total outpatient antimicrobial drug use in each state. Volume was based on distribution to retailers rather than actual sales to patients, and distributed drugs could be returned to wholesalers without being sold. In this situation, returned drugs were subtracted from the total distributed in a given month to yield the net retail distribution for each drug class. Inpatient pharmacies, prisons, veterinary offices, nursing homes, dialysis clinics, and federal government sites were excluded from the volume distribution data. The retail volume sales database captured 93% of actual antimicrobial drug distribution in Wisconsin and Minnesota. Volume sales were divided by the annual population estimates in each state and reported as grams per capita.

The following product groups were included in the assessment of outpatient prescribing and retail volume sales: amoxicillin/penicillin, amoxicillin-clavulanate, cephalosporins, macrolides, extended-spectrum macrolides (azithromycin, clarithromycin), fluoroquinolones, tetracyclines, trimethoprim-sulfamethoxazole, and other sulfa drugs (including erythromycin/sulfisoxazole). Solid and liquid formulations were reported separately, and liquid formulations were used as surrogates for pediatric prescribing. Broad-spectrum antimicrobial drugs were also analyzed separately. Although no standard definition of broad spectrum antimicrobial drugs exists, a previous report on national trends in antimicrobial drug use classified the following groups as broad-spectrum: extended-spectrum macrolides, fluoroquinolones, second- and third-generation cephalosporins, and amoxicillin-clavulanate (23). We used the same classification with 1 exception. In this study we classified all cephalosporins as broad-spectrum because we were unable to distinguish first-, second-, and third-generation cephalosporins.

Prescriber Cohort

A cohort of primary care physicians was established to monitor and compare longitudinal trends in prescribing antimicrobial drugs. The cohort was defined as primary care physicians in Minnesota and Wisconsin who prescribed at least 1 antimicrobial drug in each month during the baseline year (1998) and each of the follow-up years (2000–2003). This criterion was used to avoid including residents and other physicians in temporary practice settings. It also avoided including nonpractice time in prescribing rate calculations, since information on individual practice patterns was not available. The annual antimicrobial prescribing rate was calculated by dividing the number of new, filled prescriptions by the number of physicians in the cohort.

The original 1998 prescriber database included 9,164 primary care physicians in Minnesota or Wisconsin who prescribed any antimicrobial drug. Of those, 4,115 (45%) prescribed ≥1 antimicrobial drug per month in 1998 and annually from 2000 through 2003. This group made up the final cohort for analysis of longitudinal prescribing trends. A secondary analysis of prescribing trends was performed based on the larger group of primary care physicians (n = 12,790) who prescribed ≥1 antimicrobial drugs during any of the follow-up years but who were not necessarily in continuous practice.

Statistical Analysis

Prescribing rates for the 4,115 physicians in practice throughout the study period were computed as the number of antimicrobial prescriptions in a given year divided by the number of physicians. Prescribing rates were therefore equivalent to the mean number of prescriptions for antimicrobial drugs per physician each year. Population-based or patient-based prescribing rates could not be calculated because the populations served by the prescribing cohort were undefined. To compare prescribing rates for each year of the intervention period (2000–2003) to baseline (1998), we fit Poisson regression models. Generalized estimating equations (GEE) were employed to account for within-physician correlation (26). An autoregressive working correlation structure was specified in the Poisson-GEE models, and appropriate steps were taken to accommodate the absence of data for calendar year 1999. Statistical comparisons of changes in rates in Wisconsin versus those in Minnesota were derived from these models.

Differences in baseline antimicrobial prescribing were addressed by fitting additional Poisson-GEE models using data from the intervention period with the natural log of the baseline number of antimicrobial drug prescriptions included as an independent variable. Prescribing rates per physician-month were computed when analyzing the 12,790 physicians who wrote such prescriptions in ≥1 month of the study period. Months where a physician wrote at least 1 prescription for an antimicrobial drug were included in the denominators of rates (i.e., a physician was assumed not to be in practice in months when he did not write any such prescriptions). Per capita antimicrobial drug sales were calculated based on annual population estimates ( Analyses were completed by using the SAS software (SAS Institute Inc., Cary, NC, USA).


Figure 1

Thumbnail of Temporal trends in per capita antimicrobial drug sales and the mean number of prescriptions per physician in Minnesota and Wisconsin.

Figure 1. . Temporal trends in per capita antimicrobial drug sales and the mean number of prescriptions per physician in Minnesota and Wisconsin.

The 4,115 primary care physicians in long-term practice included 2,009 (49%) in Minnesota and 2,106 (51%) in Wisconsin. The proportion of physicians in family practice was higher in Wisconsin, and the proportion in internal medicine was higher in Minnesota (Table 3). During 1998, these physicians generated 1.5 million prescriptions for antimicrobial drugs in each state, and the crude antimicrobial prescribing rate was nearly identical across states. From 2000 through 2003, the prescribing rate for antimicrobial drugs in both states gradually declined (Figure 1). From 1998 to 2003, the antimicrobial prescribing rate was reduced by 19.8% in Minnesota and by 20.4% in Wisconsin. The percentage reduction was 19.5% and 18.6%, respectively, in the secondary analysis, which included the 12,790 primary care physicians who prescribed antimicrobial drugs at any time during the follow-up period.

Retail sales of antimicrobial drugs (grams per capita) declined by 27.4% in Minnesota and 17.3% in Wisconsin from 1999 through 2002 (Figure 1). Sales of amoxicillin and penicillin exceeded those of other product groups in each year and accounted for 37% of all retail antimicrobial distribution. In both states, retail sales of fluoroquinolones remained level, and sales of amoxicillin-clavulanate increased. Sales of most other product groups declined by 15% or more.

Stratification of antimicrobial prescribing rates by specialty showed that the reduction in prescribing differed only for physicians in internal medicine and pediatrics (Table 4). Antimicrobial prescribing declined more in Wisconsin than Minnesota among internal medicine physicians, but the opposite was true for pediatricians. In Minnesota, the reduction in antimicrobial use was similar for physicians practicing in the Minneapolis–St. Paul metropolitan statistical area and those practicing elsewhere in the state (Table 5). In Wisconsin, the reduction in antimicrobial prescribing was much less in the Milwaukee-Waukesha metropolitan statistical area than in the remainder of the state. Antimicrobial prescribing declined significantly more in the Minneapolis-St. Paul metropolitan statistical area than in the corresponding Milwaukee-Waukesha area .

Prescriptions for liquid antimicrobial drugs (a surrogate for pediatric use) declined 29% in Wisconsin and 32% in Minnesota from 1998 to 2003 (p = 0.17). Prescriptions for solid formulations declined 15%–17% in each state. The percentage of prescriptions for broad-spectrum agents was unchanged (within 2%) in each state from 1998 through 2003.

Figure 2

Thumbnail of Antimicrobial prescribing rate ratios by year and practice location, adjusted for specialty and baseline (1998) prescribing rate. The vertical bars show 95% confidence intervals. Ratios <1 indicate lower antimicrobial prescribing by Wisconsin physicians relative to Minnesota physicians. MSA, metropolitan statistical area.

Figure 2. . Antimicrobial prescribing rate ratios by year and practice location, adjusted for specialty and baseline (1998) prescribing rate. The vertical bars show 95% confidence intervals. Ratios <1 indicate lower antimicrobial prescribing...

Regression models were fit to compare prescribing rates in Wisconsin and Minnesota during each year from 2000 to 2003, with adjustment for specialty and baseline prescribing in 1998. Two separate models were generated. The first included physicians practicing in the Minneapolis–St. Paul metropolitan statistical area or the Milwaukee-Waukesha metropolitan statistical area. The second included physicians practicing in other counties of Minnesota or Wisconsin. In the latter model, the prescribing rate ratio was <1 in 2002 and 2003, indicating that, when the 2 largest metropolitan areas were excluded, Wisconsin physicians had significantly lower prescribing rates than those in Minnesota (Figure 2). In contrast, the prescribing rate ratio was >1 in each year within the 2 largest metropolitan areas, indicating that physicians in the Milwaukee-Waukesha MSA had higher prescribing rates than those in the Minneapolis-St. Paul MSA, after adjusting for specialty and baseline prescribing.


WARN represents the largest program on appropriate antimicrobial drug use that has been evaluated to measure the effect on prescribing. Previously published studies demonstrated that interventions at the level of the physician, clinic, or community had a modest effect on prescribing (20,2732). These focused programs are useful in evaluating specific intervention strategies in a relatively controlled setting. However, adoption of new practices may be slow even when the intervention is proven to be effective, and generalizability to larger populations may be limited. In contrast, large-scale programs can reach physicians and the general public in an entire state or large metropolitan area. The development of WARN reflected a need to implement and evaluate a large-scale demonstration project that could influence antimicrobial prescribing throughout Wisconsin in a relatively short time. At the time WARN was conceived and funded, knowledge of national trends in antimicrobial prescribing was limited, but we now know that prescribing declined substantially for both pediatric and adult populations in the 1990s (2224,33).

Outpatient antimicrobial use declined substantially in both Wisconsin and Minnesota from 1998 to 2003, and no additional intervention-related effect was apparent in Wisconsin. Secondary analyses by specialty and practice location demonstrated variable reductions in prescribing of antimicrobial drugs, but to what extent these reductions were related to WARN interventions, as opposed to other factors that may be influencing secular trends, is unclear. The potential effect of these other factors is illustrated by the observation that Minnesota pediatricians improved their prescribing practices more than Wisconsin pediatricians, despite the absence of an organized, large-scale program to improve pediatric prescribing in Minnesota.

We found that changes in antimicrobial drug use were less pronounced in the Milwaukee-Waukesha metropolitan area than in other regions of Wisconsin. This finding contrasts with findings in Minnesota, where the decrease in antimicrobial drug use in the Minneapolis-St. Paul metropolitan area was similar to that in the rest of the state. When these large metropolitan areas were excluded from the analysis, prescribing of antimicrobial drugs decreased more in Wisconsin than in Minnesota. Several factors may have contributed to the relatively low impact of WARN in the Milwaukee area. These factors include the absence of paid staff working in Milwaukee, few connections with the Milwaukee medical community, and the large number of clinical practices and health plans.

Funding for WARN exceeded levels for other state-based programs on antimicrobial drug resistance, but it was far lower than the funding level for some other public education campaigns. Annual funding for WARN staffing, programs, and materials (excluding indirect costs and evaluation activities) was ≈$238,000–$342,000. By comparison, Wisconsin receives ≈$10 million in state funding and $1.1 million in federal funding each year for smoking prevention programs (Maureen Busalacchi, pers. comm.). WARN funding for education on antimicrobial resistance was not sufficient to conduct a widespread and sustained media campaign, although whether such a campaign would have led to further reductions in antimicrobial use is not known.

One other published study reported the effect of interventions promoting appropriate antimicrobial drug use in a large, highly populated area. In Knox County, Tennessee, a 12-month multifaceted campaign was conducted in 1997 and early 1998 (34). The clinician intervention included professional presentations, distribution of pediatric principles of judicious antimicrobial drug use (35), and newsletter articles. Patient and public education included distribution of print materials, news media coverage, and public service announcements. In the Medicaid managed care program, antimicrobial drug prescribing for respiratory illness declined 19% in Knox County and 8% in the control counties compared to the previous year (intervention attributable effect of 11%, p<0.001). The Knox County intervention was smaller in scale and shorter in duration than WARN, and the generalizability to non-Medicaid populations is unknown.

Evaluating large-scale, multifaceted educational programs such as WARN has several limitations. The control population in Minnesota was not isolated, and educational materials and messages may have diffused into the control area from a variety of sources. For example, during the WARN follow-up period, national guidelines on appropriate antimicrobial use were published and endorsed by the Centers for Disease Control and Prevention and major professional organizations (3537). WARN also reached limited populations in Minnesota: radio advertisements included areas of eastern Minnesota, and some Minnesota physicians received the WARN satellite broadcasts on appropriate antimicrobial drug use. In addition, efforts within Minnesota to improve prescribing of antimicrobial drugs increased during the follow-up period, particularly during 2002 and 2003. A single state may not be the optimal comparison population, and Minnesota in particular has a highly educated population and a proactive public health infrastructure with strong ties to the healthcare delivery system. As a result, the improvements in antimicrobial drug prescribing within Minnesota may have been greater than those in many other states. Finally, the commercial prescribing data used for the WARN evaluation did not include any information on visits or diagnoses. We therefore cannot determine if the declines in antimicrobial prescribing in Wisconsin and Minnesota were associated with a declining rate of visits for acute respiratory illness or if the rate of prescribing declined for specific diagnoses.

The centralized development of WARN programs and materials facilitated statewide distribution, but it also limited the level of clinician involvement at the local level. Direct, face-to-face communication with physicians was rarely possible. In contrast, practice-level interventions have shown modest success, and we speculate that these focused, participatory interventions may promote physician behavior change more directly than a mass education campaign such as WARN. However, WARN succeeded in changing physicians' knowledge and attitudes regarding appropriate antimicrobial drug use, and WARN materials were widely used by primary care clinicians throughout the state. In a survey of primary care clinicians, 90% of respondents had heard of WARN, and 70% of those had used WARN materials for patient education (38). Models of behavior change suggest that changes in prescribing behavior are preceded by important cognitive changes that proceed in stepwise fashion (39). Improvements in knowledge and beliefs among both physicians and patients may therefore be markers of progress, which may facilitate the future success of provider-level interventions developed by clinics and managed care organizations in Wisconsin.

Increased funding for state-level educational campaigns to promote appropriate antimicrobial drug use does not appear warranted by the results of this evaluation. However, the combined effect of national guidelines for appropriate use of such drugs, increasing attention by the media and professional organizations, and the Centers for Disease Control and Prevention national campaign may have contributed to the observed trend toward declining antimicrobial use. Progress toward decreasing inappropriate use is being made in many states, although antimicrobial prescribing rates remain excessive for bronchitis, and use of broad-spectrum antimicrobial drugs is increasing nationally (22,27,33). State and local organizations should consider a balanced approach that includes limited statewide educational activities with increasing emphasis on local, provider-level interventions and policy development. These activities might include academic detailing by physician opinion leaders, feedback on antimicrobial prescribing performance (including Health Plan Employer Data and Information Set measures), and economic incentives for careful antimicrobial use. These strategies may have the greatest effect if implemented as quality improvement initiatives in collaboration with the leadership of health plans and clinic organizations. Ongoing assessment of prescribing trends and rates of antimicrobial drug resistance will be needed to measure the ultimate effect of these efforts.

Dr. Belongia is an infectious disease epidemiologist and director of the Epidemiology Research Center at the Marshfield Clinic Research Foundation.



We thank the following persons for their contribution to this project: Lorelle Benetti, Carol Beyer, Steve Busalacchi, Kathryn Como-Sabetti, Cathy Deming, Steven Ebert, Jane Harper, Cindy Helstad, Darcy Johnson, Paula Keller, Debra Kempf, Drew Kessel, Ruth Lynfield, Vicki Meyer, Jordon Ott, Renee Reback, Anna Rentmeester, Debbie Rickelman, David Salo, John Schmelzer, Heather Silbaugh, Judy Simpson, Jaclyn Smith, Megan Sondreal, Lynda Syth, Stephanie Taylor, Mary Vandermause, Marilyn Michels, Thomas Hirsch, Donn Fuhrmann, Maureen Van Dinter, Paul Rosowski, Linda Viney, Linda Caldert-Olson, Barry Fox, George Mejicano, Gregory DeMuri, William Agger, Peter Havens, Cynthia Jones-Nosacek, Paul McGinnis, Kathleen Schneider, and Jeffrey Young. We also thank the following members of the WARN Advisory Board who contributed their time and expertise to support the project: Donald Bukstein, Cheryl DeMars, Jean Durch, Seth Foldy, Jerry Ingalls, Lowell Keppel, Lisa Madagame, Dennis Maki, Sandra Matter, William McGill, Mary Proctor, Ben Schwartz, Bradley Sullivan, and Scott Whitmore.

Funding for this study was provided by a cooperative agreement with the US Centers for Disease Control and Prevention, Atlanta, Georgia (U50/CCU515878).



  1. Whitney  C, Farley  M, Hadler  J, Harrison  L, Lexau  C, Reingold  A, Increasing prevalence of multidrug resistant Streptococcus pneumoniae in the United States. N Engl J Med. 2000;343:191724. DOIPubMed
  2. Herold  BC, Immergluck  LC, Maranan  MC, Lauderdale  DS, Gaskin  RE, Boyle-Vavra  S, Community-acquired methicillin-resistant Staphylococcus aureus in children with no identified predisposing risk. JAMA. 1998;279:5938. DOIPubMed
  3. Naimi  TS, LeDell  KH, Como-Sabetti  K, Borchardt  SM, Boxrud  DJ, Etienne  J, Comparison of community- and health care-associated methicillin-resistant Staphylococcus aureus infection. JAMA. 2003;290:297684. DOIPubMed
  4. Arason  V, Kristinsson  K, Sigurdsson  J, Stefansdottir  G, Molstad  S, Gudmundsson  S. Do antimicrobials increase the carriage rate of penicillin-resistant pneumococci in children? Cross-sectional prevalence study. BMJ. 1996;313:38791. DOIPubMed
  5. Albrich  W, Monnet  D, Harabarth  S. Antibiotic selection pressure and resistance in Streptococcus pneumoniae and Streptococcus pyogenes. Emerg Infect Dis. 2004;10:5147.PubMed
  6. Ho  PL, Tse  WS, Tsang  KWT, Kwok  TK, Ng  TK, Cheng  VCC, Risk factors for acquisition of levofloxacin-resistant Streptococcus pneumoniae: a case-control study. Clin Infect Dis. 2001;32:7017. DOIPubMed
  7. Nava  JM, Bella  F, Garau  J, Lite  J, Morera  MA, Marti  C, Predictive factors for invasive disease due to penicillin-resistant Streptococcus pneumoniae: a population-based study. Clin Infect Dis. 1994;19:88490. DOIPubMed
  8. Samore  M, Magill  M, Alder  S, Severina  E, Morrison-de Boer  L, Lyon  J, High rates of multiple antibiotic resistance in Streptococcus pneumoniae from healthy children living in isolated rural communities: association with cephalosporin use and intrafamilial transmission. Pediatrics. 2001;108:85665. DOIPubMed
  9. Tan  TQ, Mason  EO Jr, Kaplan  SL. Penicillin-resistant systemic pneumococcal infections in children: a retrospective case-control study. Pediatrics. 1993;92:7617.PubMed
  10. McCaig  L, Hughes  J. Trends in antimicrobial drug prescribing among office-based physicians in the United States. JAMA. 1995;273:2149. DOIPubMed
  11. Nyquist  AC, Gonzales  R, Steiner  JF, Sande  MA. Antibiotic prescribing for children with colds, upper respiratory tract infections, and bronchitis. JAMA. 1998;279:8757. DOIPubMed
  12. Barden  L, Dowell  S, Schwartz  B, Lackey  C. Current attitudes regarding use of antimicrobial agents: results from physicians' and parents' focus group discussions. Clin Pediatr. 1998;37:66571. DOI
  13. Bauchner  H, Pelton  S, Klein  J. Parents, physicians, and antibiotic use. Pediatrics. 1999;103:395401. DOIPubMed
  14. Watson  R, Dowell  S, Jayaraman  M, Keyserling  H, Kolczak  M, Schwartz  B. Antimicrobial use for pediatric upper respiratory infections: reported practice, actual practice, and parent beliefs. Pediatrics. 1999;104:12517. DOIPubMed
  15. Wang  E, Einarson  T, Kellner  J, Conly  J. Antibiotic prescribing for Canadian preschool children: evidence of overprescribing for viral respiratory infections. Clin Infect Dis. 1999;29:15560. DOIPubMed
  16. Schwartz  RH, Freij  BJ, Ziai  M, Sheridan  MJ. Antimicrobial prescribing for acute purulent rhinitis in children: a survey of pediatricians and family practitioners. Pediatr Infect Dis J. 1997;16:18590. DOIPubMed
  17. Harrison  PF, Lederberg  J, eds. Antimicrobial resistance: issues and options. Institute of Medicine workshop report. Washington: National Academy Press; 1998.
  18. Belongia  E, Naimi  T, Gale  C, Besser  R. Antibiotic use and upper respiratory infections: a survey of knowledge, attitudes, and experience in Wisconsin and Minnesota. Prev Med. 2002;34:34652. DOIPubMed
  19. Davis  DA, Thomson  MA, Oxman  AD, Haynes  RB. Changing physician performance: a systematic review of the effect of continuing medical education strategies. JAMA. 1995;274:7005. DOIPubMed
  20. Gonzales  R, Steiner  J, Lum  A, Barrett  P. Decreasing antibiotic use in ambulatory practice: impact of a multidimensional intervention on the treatment of uncomplicated acute bronchitis in adults. JAMA. 1999;281:15129. DOIPubMed
  21. Avorn  J, Solomon  DH. Cultural and economic factors that (mis)shape antibiotic use: the nonpharmacologic basis of therapeutics. Ann Intern Med. 2000;133:12835.PubMed
  22. McCaig  L, Besser  R, Hughes  J. Trends in antimicrobial prescribing rates for children and adolescents. JAMA. 2002;287:3096102. DOIPubMed
  23. Steinman  M, Gonzales  R, Linder  J, Landefeld  C. Changing use of antibiotics in community-based outpatient practice, 1991–1999. Ann Intern Med. 2003;138:52533.PubMed
  24. Finkelstein  JA, Stille  C, Nordin  J, Davis  R, Raebel  MA, Roblin  D, Reduction in antibiotic use among US children, 1996–2000. Pediatrics. 2003;112:6207. DOIPubMed
  25. Naimi  TS, Smith  KE, Besser  J, Lynfield  R. Antimicrobial resistance and judicious antimicrobial use in Minnesota and the United States. Minn Med. 2001;84:2731.PubMed
  26. Liang  KY, Zeger  SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:1322. DOI
  27. Gonzales  R, Sauaia  A, Corbett  KK, Maselli  JH, Erbacher  K, Leeman-Castillo  BA, Antibiotic treatment of acute respiratory tract infections in the elderly: effect of a multidimensional educational intervention. J Am Geriatr Soc. 2004;52:3945. DOIPubMed
  28. Welschen  I, Kuyvenhoven  MM, Hoes  AW, Verheij  TJ. Effectiveness of a multiple intervention to reduce antibiotic prescribing for respiratory tract symptoms in primary care: randomised controlled trial. BMJ. 2004;329:431. DOIPubMed
  29. Doyne  EO, Alfaro  MP, Siegel  RM, Atherton  HD, Schoettker  PJ, Bernier  J, A randomized controlled trial to change antibiotic prescribing patterns in a community. Arch Pediatr Adolesc Med. 2004;158:57783. DOIPubMed
  30. Finkelstein  JA, Davis  RL, Dowell  SF, Metlay  JP, Soumerai  SB, Rifas-Shiman  SL, Reducing antibiotic use in children: a randomized trial in 12 practices. Pediatrics. 2001;108:17. DOIPubMed
  31. Macfarlane  J, Holmes  W, Gard  P, Thornhill  D, Macfarlane  R, Hubbard  R. Reducing antibiotic use for acute bronchitis in primary care: blinded, randomised controlled trial of patient information leaflet. BMJ. 2002;324:914. DOIPubMed
  32. Hennessy  T, Petersen  K, Bruden  D, Parkinson  A, Hurlburt  D, Getty  M, Changes in antibiotic-prescribing practices and carriage of penicillin-resistant Streptococcus pneumoniae: s controlled intervention trial in Alaska. Clin Infect Dis. 2002;34:154350. DOIPubMed
  33. Mainous  AG, Hueston  WJ, Davis  MP, Pearson  WS. Trends in antimicrobial prescribing for bronchitis and upper respiratory infections among adults and children. Am J Public Health. 2003;93:19104. DOIPubMed
  34. Perz  J, Craig  A, Coffey  C, Jorgensen  D, Mitchel  E, Hall  S, Changes in antibiotic prescribing for children after a community-wide campaign. JAMA. 2002;287:31039. DOIPubMed
  35. Dowell  S. Principles of judicious use of antimicrobial agents for pediatric upper respiratory tract infections. Pediatrics. 1998;101(Suppl):16384.
  36. Gonzales  R, Bartlett  JG, Besser  RE, Cooper  RJ, Hickner  JM, Hoffman  JR, Principles of appropriate antibiotic use for treatment of acute respiratory tract infections in adults: background, specific aims, and methods. Ann Intern Med. 2001;134:47986.PubMed
  37. Gonzales  R, Bartlett  JG, Besser  RE, Hickner  JM, Hoffman  JR, Sande  MA. Principles of appropriate antibiotic use for treatment of nonspecific upper respiratory tract infections in adults: background. Ann Intern Med. 2001;134:4904.PubMed
  38. Kiang  KM, Kieke  BA, Como-Sabetti  K, Lynfield  R, Besser  RE, Belongia  EA. Clinician knowledge and beliefs after statewide program to promote appropriate antimicrobial drug use. Emerg Infect Dis. 2005;11:90411. DOIPubMed
  39. Finch  RG, Metlay  JP, Davey  PG, Baker  LJ. Educational interventions to improve antibiotic use in the community: report from the International Forum on Antibiotic Resistance (IFAR) colloquium, 2002. Lancet Infect Dis. 2004;4:4453. DOIPubMed




Cite This Article

DOI: 10.3201/eid1106.050118

1Carolyn Janette is currently affiliated with Meriter Hospital, Madison, Wisconsin, USA.

The footnote "1 " is not cited in the text. Please add an in-text citation or delete the footnote.

Table of Contents – Volume 11, Number 6—June 2005


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Edward A. Belongia, Epidemiology Research Center (ML2), Marshfield Clinic Research Foundation, 1000 North Oak Ave, Marshfield, WI 54449, USA; fax: 715-389-3880

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