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Retrospective cohort analysis of outpatient antibiotic prescribing for community-acquired pneumonia in Canadian older adults

  • Ariana Saatchi,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada

  • Jennifer N. Reid,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation ICES Western, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada

  • Salimah Z. Shariff,

    Roles Methodology, Writing – review & editing

    Affiliation ICES Western, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada

  • Marcus Povitz,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliation Department of Medicine, University of Calgary, Calgary, Alberta, Canada

  • Michael Silverman,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliation Faculty of Medicine, Western University, London, Ontario, Canada

  • David M. Patrick,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliations British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada

  • Andrew M. Morris,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliation Sinai Health System, University Health Network and University of Toronto, Toronto, Ontario, Canada

  • James McCormack,

    Roles Methodology, Writing – review & editing

    Affiliation Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada

  • Manon R. Haverkate,

    Roles Methodology, Writing – review & editing

    Affiliation Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada

  • Fawziah Marra

    Roles Conceptualization, Data curation, Funding acquisition, Methodology, Supervision, Visualization, Writing – review & editing

    fawziah@mail.ubc.ca

    Affiliation Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada

Abstract

Background

This retrospective cohort study is the first in North America to examine population-level appropriate antibiotic use for community-acquired pneumonia (CAP) in older adults, by agent, dose and duration. With the highest rates of CAP reported in the elderly populations, appropriate antibiotic use is essential to improve clinical outcomes. Given the ongoing crisis of antimicrobial resistance, understanding inappropriate antibiotic prescribing is integral to direct community stewardship efforts.

Methods

All outpatient primary care visits for CAP (aged ≥65 years) were identified using physician billing codes between January 1 2014 to December 31 2018 in British Columbia (BC) and Ontario (ON). Categories of prescribing were derived from existing literature, and constructed for clinical relevance using Canadian and international guidelines available during the study period. Categories were mutually exclusive and included: guideline adherent (first-line agent, adherent dose/duration), clinically appropriate (non-first line agent, presence of comorbidities), effective but unnecessary (first-line agent, excess dose/duration), undertreatment (first-line agent, subtherapeutic dose/duration), and not recommended (non-first line agent, absence of comorbidities). Proportions of prescribing were examined by category. Temporal trends in prescribing were examined using Poisson regression.

Results

A total of 436,441 episodes of CAP were identified, with 46% prescribed an antibiotic in BC, and 52% in Ontario. Guideline adherent prescribing was minimal for both provinces (BC: 2%; ON: 1%) however the largest magnitude of increase was reported in this category by the final study year (BC—Rate Ratio [RR]: 3.4, 95% Confidence Interval [CI]: 2.7–4.3; ON—RR: 4.62, 95% CI: 3.4–6.5). Clinically appropriate prescribing accounted for the most antibiotics issued, across all study years (BC: 61%; ON: 74%) (BC—RR: 0.8, 95% CI: 0.8–0.8; ON—RR: 0.9, 95% CI: 0.8–0.9). Excess duration of therapy was the hallmark characteristic for effective but unnecessary prescribing (BC: 92%; ON: 99%). The most common duration prescribed was 7 days, followed by 10. Not recommended prescribing was minimal in both provinces (BC: 4%; ON: 7%) and remained stable by the final study year (BC—RR: 1.1, 95% CI: 0.9–1.2; ON—RR: 0.9, 95% CI: 0.9–1.1).

Conclusion

Three quarters of antibiotic prescribing for CAP was appropriate in Ontario, but only two thirds in BC. Shortening durations—in line with evidence for 3 to 5-day treatment presents a focused target for stewardship efforts.

Introduction

Community-acquired pneumonia (CAP) is a leading cause of mortality and morbidity for older adults. The most commonly identified pathogens include Streptococcus pneumoniae, as well as respiratory viruses [1, 2]. Despite microbiologic testing, no pathogen is detected in up to 62% of inpatient cases [1, 3, 4]. Deteriorations in functional status following illness occurs in 10% of patients post-recovery, jeopardizing quality of life [5]. Moreover, despite the polysaccharide pneumococcal vaccine being available in Canada through publicly-funded immunization programs since the 1990s, annual rates of CAP have continued to rise, with 212 additional incident cases per 100,000 in the province of British Columbia (BC) by 2018 (compared to 2010), and 239 in Ontario (ON) [6]. Highest infection rates continue to be reported in the elderly populations [7]. Adherence to clinical guidelines in antibiotic treatment selection has been associated with improved patient outcomes, and reduced healthcare costs [810]. Given the elevated risk of mortality in this population, understanding appropriate antibiotic use is essential to protect this vulnerable population.

The etiology of CAP is not homogenous [6]. However, unlike the case of viral respiratory tract infections, delays in antibiotic treatment for CAP increase the risks for adverse outcomes [9, 11, 12]. As such, the goals of antimicrobial stewardship for CAP include the optimization, rather than reduction, of empiric antibiotic prescribing. The evaluation of antibiotic prescribing is often contingent on patient factors not available within routine, administrative health data, as such, appropriate outpatient use has been examined in limited scope [13]. Efforts to evaluate prescribing quality are further limited by the absence of standardized nomenclature [14]. In 2018, a Canadian antimicrobial stewardship program published categories of antibiotic prescribing aimed to address aforementioned limitations; provide more clinically relevant and granular interpretations of prescribing quality; and offer a nuanced lexicon with which to engage [15].

This retrospective cohort study is the first in North America to examine if antibiotic prescribing was appropriate for CAP in older adults, by agent, dose and duration. The use of clinical practice guidelines to define discrete categories of prescribing quality offer a novel, more objective interpretation of appropriate prescribing, when compared to previous efforts of expert opinion elicitation. Our objectives were to determine the quality of empiric antibiotic prescribing for CAP, across two Canadian provinces, and expand interpretations of appropriate prescribing by agent, dose, and duration.

Methods and materials

Data sources

This study was approved by the Behavioural Research Ethics Board of the University of British Columbia (H19-00799). All methods were carried out in accordance with relevant guidelines and regulations. Data was extracted, anonymized, and made available to researchers by Population Data BC. Participant informed consent was waived by IRB approval. Written consent for publication was obtained from the BC Ministry of Health and Population Data BC.

The BC Ministry of Health and ICES (formerly known as the Institute for Clinical Evaluative Sciences) in Ontario house several health care-related databases, which contain comprehensive information on their respective populations. The BC Medical Services Plan (MSP) and Ontario Health Insurance Plan (OHIP) record all claims submitted by physicians, including diagnostic codes [16]. Antibiotic dispensation data were available through BC PharmaNet, and Ontario Drug Benefit (ODB) program systems [17, 18]. Patient demographics, including age and sex, were extracted from a Consolidation file in BC, and the Registered Persons Database (RPDB) in Ontario [19]. Further patient information including comorbidity data, were identified through the Discharge Abstract Database (DAD) for both provinces, with additional ICES-validated subsets utilized for specific conditions [20].

Study population & case definitions

Our study included all residents of BC and Ontario with a physician record (family and/or general practitioner) for CAP, from January 1, 2014 to December 31, 2018. Patients aged <65 years, and those living in long-term care facilities were excluded. Physician records were identified using relevant ICD-9 (480–481) and OHIP (486; 986) codes for pneumonia. Acute episodes of infection were defined using a 14-day window with all recurrent physician visits within 14 days flagged as a single episode of infection. The index date was identified as the first physician visit within an episode. Chronic CAP episodes which exceeded 30 days in total length were excluded. As hospital dispensation data were not available for this study, any patients admitted to hospital up to 5 days following the end of an episode were excluded, on an assumption that they were treated for CAP as an inpatient. These criteria have previously been used to identify episodes of infection in Canadian outpatient care [21].

A prescription was linked to an episode of CAP using an algorithm that matched the date on which the medication was dispensed to a corresponding physician visit within a permissible period of time. This linkage window ranged from episode index date until the final physician visit within an episode, with an additional 5-day follow-up. If multiple prescriptions were present within a given linkage period, only the first dispensation record was kept to evaluate empiric prescribing. All cells with n < 6 were excluded from analyses to preserve subject anonymity.

Clinical guidelines

A literature review identified relevant CAP guidelines and prescribing resources for Canadian outpatient care. Clinical practice guidelines and treatment recommendations were pulled from the following resources: American Thoracic Society (ATS), Infectious Disease Society of America (IDSA), National Institute for Health and Care Excellence (NICE), British Thoracic Society (BTS), and Bugs & Drugs: a provincial reference [2226]. Guidelines were reviewed and first-line agent(s), dosing and duration recommendations were extracted. First-line agents for the treatment of CAP were identified as: oral amoxicillin [1g BID or TID x 5 days], amoxicillin clavulanate [875mg BID x 5 days], and doxycycline [200mg day 1; 100mg BID day(s) 2–5]. Given variability in recommended dosing, both lower- and upper-limit bounds were calculated for each agent to identify the permissible range for guideline concordant average daily dose. Across relevant references, recommended durations of treatment for outpatient, non-severe CAP specified 5 days of therapy (strong recommendation; moderate quality of evidence). Preceding, and throughout the study period, shorter-course treatments had been examined for effectiveness, and non-inferiority, across several trials [2732]. Given the existing body of literature, and the cohesion of guideline recommendations—5 days was selected as the appropriate duration.

Categories of prescribing quality

Utilizing the criteria and lexicon put forth by Dresser et al. (2018), study categories of prescribing quality were mutually exclusive, and included: (1) guideline adherent; (2) clinically appropriate; (3) undertreatment; (4) effective but unnecessary; and (5) not recommended (S1 Table). Guideline adherent: prescription of a first-line agent with guideline concordant dose and duration. Clinically appropriate: use of non-first line antibiotic agents, of any dose or duration, in the presence of at least one patient clinical justification. Patient justifications include: relevant comorbidities (e.g., COPD, cancer, myocardial infarction, etc.; complete overview of patient factors can be viewed in S2 Table), drug interactions, immunosuppressant medications, and Charlson index (moderate/severe) score. Patient comorbidities were identified using a breadth of outpatient (ICD-9/OHIP), hospital (ICD-10), as well as dispensation records (PharmaNet/ODB) in order to satisfy previously validated ICES case definitions. Under treatment: first-line agent that can be improved in at least one of the following categories: dose (i.e. < recommended), and/or duration (i.e. < recommended). Effective but unnecessary: first-line agent that can be improved in at least one of the following categories: dose (i.e. > recommended), and/or duration (i.e. > recommended). Not recommended: use of non-first line antibiotic agents, of any dose and duration, in the absence of all patient justifications. If dose and duration deviated in opposing directions a prescription was assigned to the category of undertreatment as sub-therapeutic utilizations were hypothesized to be of higher clinical significance. As laboratory data were not available to verify patient creatine clearance, undertreatment prescriptions in the presence of patient renal dysfunction (e.g., chronic kidney disease) were re-classified as clinically appropriate, in line with renal dosing adjustments.

Outcomes & statistical analyses

Baseline cohort characteristics were examined by age, sex, income quintile and rurality, with the first CAP record utilized as index per patient. Patient comorbidities, presence of immunosuppressant medications and/or drug interactions, as well as Charlson score were also examined, by episode of CAP. Primary outcomes included: the proportion of total CAP episodes prescribed as well as the proportion of antibiotic prescribing by category of quality; results were then stratified by age and sex. Rates of prescribing were calculated as the number of prescriptions per 1000 population, using cohort-specific denominators per province. Temporal trends in prescribing quality were examined using Poisson regression, where a two-sided p-value < 0.05 was considered significant. Number of prescriptions by category of prescribing quality was utilized as the dependent variable, with annual cohort population included as the offset. Post-hoc analyses included the frequency of duration (days) prescribed for first-line agents, and the relative proportions of “not recommended” and “clinically appropriate” by major anatomical therapeutic chemical (ATC) class.

Results

Over the study period 118,606 and 317,823 total episodes of CAP were identified in BC and Ontario, respectively (Table 1). Of these episodes, 46% were prescribed an antibiotic in BC, and 52% in Ontario, resulting in 219,480 total episodes of CAP issued antibiotics (Fig 1). The average age for BC patients was 78 years and 77 years in Ontario, with slightly more females for both provinces (BC: 53.3%; ON: 55.1%). In both provinces, the overall rate of CAP episodes was 28 cases per 1000 population. The average number of physician visits per episode was 1.75 and 1.35, per province respectively. These episodes can be attributed to 51,981 unique patients in BC, and 138,157 in Ontario.

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Fig 1. Counts of CAP episodes, prescribed episodes and unique patients.

https://doi.org/10.1371/journal.pone.0292899.g001

Category of prescribing quality

Clinically appropriate prescribing accounted for the most antibiotics issued to older adults, for CAP, across all study years (BC: 60.7%; ON: 74.2%) (Fig 2). These prescriptions were mainly composed of non-first line agents dispensed in the presence of a clinical factor that could preclude the use of a guideline recommended agent (BC: 96.4%; ON: 97.9%). A complete list of these factors and their relevant cohort counts are available in Table 1. The remaining clinically appropriate prescriptions (BC: 3.6%; ON: 2.1%) can be attributed to the use of first-line agents, in the presence of chronic kidney disease, re-classified from undertreatment. In both provinces, rates of clinically appropriate prescribing significantly decreased over the study period (Table 2; Fig 3). By 2018, a 20% (RR: 0.80; 95% CI: 0.77–0.83) reduction in BC, and 15% (Rate Ratio [RR]: 0.85; 95% Confidence Interval [CI]: 0.84–0.87) reduction in Ontario, was observed in clinically appropriate prescribing, when compared to the first study year (Table 2).

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Fig 2. Percentage of outpatient antibiotic prescribing for CAP, by category of prescription quality and year.

https://doi.org/10.1371/journal.pone.0292899.g002

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Fig 3. Rate of overall antibiotic prescribing for outpatient CAP in Canadian seniors, by age category and province.

https://doi.org/10.1371/journal.pone.0292899.g003

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Table 2. Patterns of antibiotic prescribing by category of quality for outpatient CAP in Canadian seniors.

https://doi.org/10.1371/journal.pone.0292899.t002

Guideline adherent reported the smallest proportions of antibiotic prescription in each study year, for both provinces (BC: 1.69%; ON: 0.36%) (Fig 2). These prescriptions were fully concordant by agent, dose and duration. Despite a two-fold and four-fold increase by 2018, in BC and ON respectively, guideline adherent prescribing remained the least prescribed category of antibiotic use (BC: 6.93 prescriptions per 1000 population; ON: 1.86 prescriptions per 1000 population) (Table 2; Fig 3).

Effective but unnecessary prescriptions, which were adherent by agent but excessive by dose and/or duration were the second-most identified category; accounting for 19.9% of all prescribing in BC, and 10.8% in Ontario (Fig 2). Although both provinces demonstrated increasing rates over time, “effective but unnecessary” prescribing was roughly double in BC, across all study years (Table 2; Fig 3). By 2018, when compared to the first study year, Ontario (RR: 2.94; 95% CI: 2.78–3.10) experienced a greater increase than BC (RR: 1.79; 95% CI: 1.68–1.91) in this category. Excess duration of therapy was the hallmark characteristic for effective but unnecessary prescribing categorization (BC: 92%; ON: 99%). The remaining effective but unnecessary prescriptions (BC: 8%; ON: 1%) were also excessive in treatment length, in addition to a dose beyond the average daily recommendation.

Undertreatment prescriptions were also adherent in agent, but subtherapeutic by dose and/or duration. This category followed as third most identified in both provinces, and as most comparable across provinces for magnitude of overall antibiotic utilization (BC: 10.98%; ON: 10.83%) (Fig 2). In Ontario, “under treatment” prescribing increased year-on-year with 35 prescriptions issued per 1000 population, by 2018. Contrastingly, BC “under treatment” antibiotic use peaked in 2016, before trending down in later study years with 35 prescriptions issued per 1000 population by 2018 (Table 2). Across both provinces, the majority of “under treatment” prescriptions (ON: 94%; BC: 79%) can be attributed to subtherapeutic dosing in the presence of excessive length of therapy. In BC, much of the remaining prescriptions are tied to either short duration of therapy (9%), subtherapeutic dosing (5%), or both (6%); while the residuals in Ontario are split evenly (2%) across the same categories.

Not recommended prescribing was the only category of prescribing to remain stable over time, in both provinces (BC—RR: 1.05; 95% CI: 0.95–1.17; ON—RR: 0.93; 95% CI: 0.86–1.01). These prescriptions were composed of non-guideline adherent antibiotic agents, in the absence of all clinical factors that would have precluded their use. Overall, “not recommended” antibiotic use was higher in BC (7%) than Ontario (4%), and this was true across each study year as well.

Antibiotic classes and duration of therapy

In both provinces, clinically appropriate prescribing was comprised of mainly quinolones, then macrolides, and other beta-lactams, when examined by major ATC class. Macrolides accounted for the majority (BC: 42%; ON: 62%) of not recommended prescribing, followed by quinolones (BC: 35%; ON: 31%), and then other beta-lactams (BC: 11%; ON: 8%). S1 Fig contains the full summary for relative proportions prescribed for both categories across provinces.

With respect to the frequency of duration prescribed for first-line agents, (i.e. amoxicillin, amoxicillin clavulanate, doxycycline) 7 days was the most commonly dispensed across all agents, and ages (BC: 54%; ON: 49%). The second most common length of therapy was 10 days, followed by 5. S2 Fig shows the relative frequencies by province, patient age, and first-line agent.

Discussion

This is the first study to evaluate appropriate prescribing for outpatient CAP, by agent, dose and duration. Our study found that “guideline adherent” prescribing, which are concordant with first line agents and recommended dose and duration, accounted for only 2% of prescriptions in BC, and less than 1% in Ontario. However, the majority of prescribing in both provinces was deemed “clinically appropriate”, wherein comorbidities justified the use of non-first line agents (BC: 61%; ON: 74%). The breakdown of appropriate prescribing between guideline adherent and clinically appropriate may be attributable to the study population—as older adults may present more routinely with comorbidities, requiring deviations from guideline adherent therapies. Not recommended prescribing was minimal in both provinces, with 4% of all prescriptions in Ontario, and 7% in BC, discordant with guidelines in the absence of any patient clinical justifications. Clinical practice guidelines, and literature preceding our study period provide evidence that shorter treatments are non-inferior for CAP [810, 2325]. Regardless, duration was the leading determinant for effective but unnecessary prescription, with excessive lengths of therapy (≥7 days).

Given the highest incidence rates for CAP are amongst older adults (≥65 years), and the positive association between increasing age and risk, ensuring judicious use of antibiotics for this population is paramount. Multiple studies have also identified associations between increased in-hospital mortality and therapies used for a preceding episode of community acquired pneumonia [33, 34]. Chakrabarti et al. report that pre-treatment with antibiotics for CAP remain an independent risk factor for increased in-hospital mortality (Odds Ratio [OR]: 1.43, 95% CI: 1.19–1.71) after adjusting for age, and various comorbidities. This finding however may simply reflect a lack of response to previous empiric oral therapy being a poor prognostic factor. Johnson et al. found that 75% of antibiotics issued in the community, prior to a subsequent hospitalization for pneumonia, were appropriate, with 98% of these prescriptions reporting adequate dose, but with no additional analysis of duration of therapy. Appropriate prescribing prior to hospitalization conferred a 38% relative mortality reduction for patients. With respect to these data, our study found high rates of appropriate prescribing for CAP, which is favorable for Canadian older adults, in the event of subsequent hospitalization.

First line agents for this study included: amoxicillin, amoxicillin clavulanate and doxycycline. In BC, doxycycline accounted for a much larger proportion of prescriptions issued (43%), when compared to Ontario (4%). Previous work by this team had identified a provincial difference in tetracycline prescription, with BC using six times more than Ontario [35]. A potential explanation for this inter-provincial difference may be the shift to tetracyclines as a preferred agent in BC clinical resources, while beta-lactams remain primary agents in Ontario. With respect to non-first line agents, both the categories of clinically appropriate, and not recommended were examined by major ATC class. Macrolides and quinolones were the most selected classes of antibiotics for both categories. Macrolides were the most prescribed class of antibiotic in the absence of clinical justifications (i.e., not recommended antibiotic use). In BC, 48% of all not recommended prescribing were macrolides, with 62% in Ontario. Although macrolides are recommended alternatives in the presence of patient comorbidities—our study identified increased prescription in the absence of a host of patient factors, as listed in Table 1. Moreover, the use of beta-lactam monotherapy has been determined to be non-inferior to beta-lactam macrolide combination treatment [36]. Positively, the prescribing of quinolones and macrolides for outpatient treatment of community acquired pneumonia, in the absence of patient clinical justifications, accounts for a minority of overall prescribing in both provinces (BC: 6%; ON: 4%). It is possible that not recommended prescribing reflect antibiotic prescription in individuals with penicillin allergy. Although allergy data were unavailable for this study, reported population rates for beta-lactams are approximately 1 to 5% and may explain the use of non-first line agents in the absence of other examined comorbidities [37, 38].

This study has limitations inherent to all retrospective studies using administrative health data. Foremost, the absence of lab data to confirm the presence of infections, and case identification based on physician billing and ICD-9 codes may be subject to misclassification bias. However, Canadian physician claims data have reported high positive-predictive values for the diagnosis of common respiratory infections [39]. Moreover, codes utilized to identify CAP did not eliminate non-bacterial pneumonia. In BC, a unique diagnostic code is available for viral pneumonia (ICD-9: 480) however, available OHIP codes do not distinguish on etiology. As such, in order to ensure internal validity, all available pneumonia codes were included across both provinces and our reduced proportion of episodes prescribed (BC: 46%, ON: 52%) is likely attributable to the inclusion of cases that do not warrant antibiotic therapy. As only CAP-related codes were utilized in defining episodes of infection, and did not account for the potential of concurrent diagnoses, which may impact patient and prescribing misclassification. The absence of laboratory results led to a blanket assumption of non-atypical infection. The use of chronic kidney disease as a proxy for unknown creatinine clearance could also have underestimated our proportion of clinically appropriate prescribing, reclassified from under treatment. In a validation of Canadian outpatient data to determine chronic kidney disease, Fleet et al. identified only 33% sensitivity in older adults [40]. As such, it may be that the reported 4% (BC) and 2% (ON) attributed to the use of first-line agents, in the presence of chronic kidney disease re-classified from undertreatment, underestimates the true proportions. Allergy data was also unavailable and limited our characterization of non-first-line antibiotic prescribing. Current estimates report a range of 1–5% for beta-lactam allergies, and the absence of this data may have overestimated not recommended antibiotic prescriptions [37, 38]. With respect to antibiotic prescribing, unfilled prescriptions are not included within records, and our discussion of antibiotic use may be an underrepresentation of true provincial magnitude. Furthermore, prescription parameters of dose and duration were pulled from dispensation records, with no knowledge of patient adherence and/or presence of physician instructions (e.g. wait and watch stewardship efforts). Future research efforts should also engage with laboratory data to identify cases of atypical infection to elucidate elevated rates of macrolide and quinolone use.

Conclusion

Community acquired pneumonia in older adults confers increasing risk for mortality, or functional status. Understanding the quality of antibiotic prescribing in this population is integral to maximize positive patient outcomes, while minimizing antibiotic-related adverse events, and the impact of prescribing on rates of bacterial resistance. This is the first study to review the quality of prescriptions issued for CAP, by agent, dose and duration, with the majority of antibiotic prescription clinically appropriate. However, the continued use of beta-lactam penicillins in place of macrolides or quinolones, and encouraging 3 to 5-day shorter course treatments present a clear direction for future stewardship efforts.

Supporting information

S1 Table. Category of prescription quality.

https://doi.org/10.1371/journal.pone.0292899.s001

(DOCX)

S2 Table. Clinical factors underlying clinically appropriate antibiotic use.

https://doi.org/10.1371/journal.pone.0292899.s002

(DOCX)

S1 Fig. Relative proportion of antibiotic use by ATC class for clinically appropriate and not recommended prescribing categories.

https://doi.org/10.1371/journal.pone.0292899.s003

(DOCX)

S2 Fig. Frequency of duration prescribed by first-line agent, and patient age.

https://doi.org/10.1371/journal.pone.0292899.s004

(DOCX)

S1 Checklist. STROBE statement—Checklist of items that should be included in reports of observational studies.

https://doi.org/10.1371/journal.pone.0292899.s005

(DOCX)

Acknowledgments

BC data were extracted, anonymized, and made available to researchers by Population Data BC Access to data provided by the Data Steward(s) is subject to approval, but can be requested for research projects through the Data Steward(s) or their designated service providers All inferences, opinions, and conclusions drawn in this publication are those of the author(s), and do not reflect the opinions or policies of the Data Steward(s).

The study was completed at the ICES Western site. This document used data adapted from the Statistics Canada Postal CodeOM Conversion File, which is based on data licensed from Canada Post Corporation, and/or data adapted from the Ontario Ministry of Health Postal Code Conversion File, which contains data copied under license from ©Canada Post Corporation and Statistics Canada. Parts of this material are based on data and/or information compiled and provided by Ontario Ministry of Health, MLTC and CIHI. However, the analyses, conclusions, opinions and statements expressed in the material are those of the author(s), and not necessarily those of MOH, MLTC and CIHI. We thank IQVIA Solutions Canada Inc. for the use of their Drug Information File.

References

  1. 1. S. Jain et al., “Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults,” http://dx.doi.org/10.1056/NEJMoa1500245. Accessed: Apr. 29, 2021. [Online]. https://www.nejm.org/doi/10.1056/NEJMoa1500245
  2. 2. Musher D. M., Abers M. S., and Bartlett J. G., “Evolving Understanding of the Causes of Pneumonia in Adults, With Special Attention to the Role of Pneumococcus,” Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am., vol. 65, no. 10, pp. 1736–1744, Nov. 2017, pmid:29028977
  3. 3. Musher D. M., Roig I. L., Cazares G., Stager C. E., Logan N., and Safar H., “Can an etiologic agent be identified in adults who are hospitalized for community-acquired pneumonia: Results of a one-year study,” J. Infect., vol. 67, no. 1, pp. 11–18, Jul. 2013, pmid:23523447
  4. 4. Johansson N., Kalin M., Tiveljung-Lindell A., Giske C. G., and Hedlund J., “Etiology of Community-Acquired Pneumonia: Increased Microbiological Yield with New Diagnostic Methods,” Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am., vol. 50, no. 2, pp. 202–209, Jan. 2010, pmid:20014950
  5. 5. Chen H., Hara Y., Horita N., Saigusa Y., Hirai Y., and Kaneko T., “Declined Functional Status Prolonged Hospital Stay for Community-Acquired Pneumonia in Seniors,” Clin. Interv. Aging, vol. 15, pp. 1513–1519, Aug. 2020, pmid:32943854
  6. 6. Mandell L. A., Marrie T. J., Grossman R. F., Chow A. W., Hyland R. H., and and the Canadian Community-Acquired Pneumonia Working Group, “Canadian Guidelines for the Initial Management of Community-Acquired Pneumonia: An Evidence-Based Update by the Canadian Infectious Diseases Society and the Canadian Thoracic Society,” Clin. Infect. Dis., vol. 31, no. 2, pp. 383–421, Aug. 2000, pmid:10987698
  7. 7. Nasreen S. et al., “Estimating population-based incidence of community-acquired pneumonia and acute otitis media in children and adults in Ontario and British Columbia using health administrative data, 2005–2018: a Canadian Immunisation Research Network (CIRN) study,” BMJ Open Respir. Res., vol. 9, no. 1, p. e001218, Jun. 2022, pmid:35764362
  8. 8. Capelastegui A. et al., “Improvement of process-of-care and outcomes after implementing a guideline for the management of community-acquired pneumonia: a controlled before-and-after design study,” Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am., vol. 39, no. 7, pp. 955–963, Oct. 2004, pmid:15472846
  9. 9. Bender M. T. and Niederman M. S., “Improving outcomes in community-acquired pneumonia,” Curr. Opin. Pulm. Med., vol. 22, no. 3, pp. 235–242, May 2016, pmid:26859379
  10. 10. Frei C. R., Restrepo M. I., Mortensen E. M., and Burgess D. S., “Impact of guideline-concordant empiric antibiotic therapy in community-acquired pneumonia,” Am. J. Med., vol. 119, no. 10, pp. 865–871, Oct. 2006, pmid:17000218
  11. 11. Nauclér P. et al., “Impact of time to antibiotic therapy on clinical outcome in patients with bacterial infections in the emergency department: implications for antimicrobial stewardship,” Clin. Microbiol. Infect., vol. 27, no. 2, pp. 175–181, Feb. 2021, pmid:32120032
  12. 12. Zasowski E. J. et al., “A Systematic Review of the Effect of Delayed Appropriate Antibiotic Treatment on the Outcomes of Patients With Severe Bacterial Infections,” CHEST, vol. 158, no. 3, pp. 929–938, Sep. 2020, pmid:32446623
  13. 13. Teixeira Rodrigues A., Roque F., Falcão A., Figueiras A., and Herdeiro M. T., “Understanding physician antibiotic prescribing behaviour: a systematic review of qualitative studies,” Int. J. Antimicrob. Agents, vol. 41, no. 3, pp. 203–212, Mar. 2013, pmid:23127482
  14. 14. Spivak E. S., Cosgrove S. E., and Srinivasan A., “Measuring Appropriate Antimicrobial Use: Attempts at Opening the Black Box,” Clin. Infect. Dis., vol. 63, no. 12, pp. 1–6, Dec. 2016, pmid:27682070
  15. 15. Dresser L. D. et al., “Use of a structured panel process to define antimicrobial prescribing appropriateness in critical care,” J. Antimicrob. Chemother., vol. 73, no. 1, pp. 246–249, Jan. 2018, pmid:29029170
  16. 16. M. of Health, “Medical Services Plan—Province of British Columbia.” Accessed: Apr. 22, 2021. [Online]. https://www2.gov.bc.ca/gov/content/health/health-drug-coverage/msp
  17. 17. “BC Ministry of Health [creator] (2011): PharmaNet. V2. BC Ministry of Health [publisher]. Data Extract. Data Stewardship Committee (2011). http://www.popdata.bc.ca/data.” [Online]. https://www.popdata.bc.ca/data
  18. 18. “Get coverage for prescription drugs,” ontario.ca. Accessed: Oct. 19, 2021. [Online]. http://www.ontario.ca/page/get-coverage-prescription-drugs
  19. 19. “British Columbia Ministry of Health [creator] (2011): Consolidation File (MSP Registration & Premium Billing). V2. Population Data BC [publisher]. Data Extract. MOH (2011).” [Online]. https://www.popdata.bc.ca/data
  20. 20. “Canadian Institute for Health Information [creator] (2011): Discharge Abstract Database (Hospital Separations). V2. Population Data BC [publisher]. Data Extract. MOH (2011).” Accessed: Jul. 26, 2022. [Online]. https://www.popdata.bc.ca/data
  21. 21. Silverman M. et al., “Antibiotic Prescribing for Nonbacterial Acute Upper Respiratory Infections in Elderly Persons,” Ann. Intern. Med., vol. 166, no. 11, pp. 765–774, Jun. 2017, pmid:28492914
  22. 22. Kalil A. C. et al., “Management of Adults With Hospital-acquired and Ventilator-associated Pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society,” Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am., vol. 63, no. 5, pp. e61–e111, Sep. 2016, pmid:27418577
  23. 23. Metlay J. P. et al., “Diagnosis and Treatment of Adults with Community-acquired Pneumonia. An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America,” Am. J. Respir. Crit. Care Med., vol. 200, no. 7, pp. e45–e67, Oct. 2019, pmid:31573350
  24. 24. “Summary of the evidence | Pneumonia (community-acquired): antimicrobial prescribing | Guidance | NICE.” Accessed: Jul. 25, 2022. [Online]. https://www.nice.org.uk/guidance/ng138/chapter/Summary-of-the-evidence
  25. 25. Lim W. S. and Woodhead M., “British Thoracic Society adult community acquired pneumonia audit 2009/10,” Thorax, vol. 66, no. 6, pp. 548–549, Jun. 2011, pmid:21502103
  26. 26. Blondel-Hill E. and Fryters S., Bugs & drugs: an antimicrobial/infectious diseases reference. Edmonton, AB: Alberta Health Services, 2012.
  27. 27. el Moussaoui R. et al., “Effectiveness of discontinuing antibiotic treatment after three days versus eight days in mild to moderate-severe community acquired pneumonia: randomised, double blind study,” BMJ, vol. 332, no. 7554, p. 1355, Jun. 2006, pmid:16763247
  28. 28. Dunbar L. M. et al., “High‐Dose, Short‐Course Levofloxacin for Community‐Acquired Pneumonia: A New Treatment Paradigm,” Clin. Infect. Dis., vol. 37, no. 6, pp. 752–760, Sep. 2003, pmid:12955634
  29. 29. Dimopoulos G., Matthaiou D. K., Karageorgopoulos D. E., Grammatikos A. P., Athanassa Z., and Falagas M. E., “Short- versus long-course antibacterial therapy for community-acquired pneumonia: a meta-analysis,” Drugs, vol. 68, no. 13, pp. 1841–1854, 2008, pmid:18729535
  30. 30. Siegel R. E., Alicea M., Lee A., and Blaiklock R., “Comparison of 7 versus 10 days of antibiotic therapy for hospitalized patients with uncomplicated community-acquired pneumonia: a prospective, randomized, double-blind study,” Am. J. Ther., vol. 6, no. 4, pp. 217–222, Jul. 1999, pmid:11329100
  31. 31. Li J. Z., Winston L. G., Moore D. H., and Bent S., “Efficacy of short-course antibiotic regimens for community-acquired pneumonia: a meta-analysis,” Am. J. Med., vol. 120, no. 9, pp. 783–790, Sep. 2007, pmid:17765048
  32. 32. Tansarli G. S. and Mylonakis E., “Systematic Review and Meta-analysis of the Efficacy of Short-Course Antibiotic Treatments for Community-Acquired Pneumonia in Adults,” Antimicrob. Agents Chemother., vol. 62, no. 9, pp. e00635–18, Sep. 2018, pmid:29987137
  33. 33. Chakrabarti B. et al., “The association between pre-hospital antibiotic therapy and subsequent in-hospital mortality in adults presenting with community-acquired pneumonia: an observational study,” Pneumonia Nathan Qld, vol. 10, p. 2, 2018, pmid:29593979
  34. 34. Johnson D., Carriere K. C., Jin Y., and Marrie T., “Appropriate antibiotic utilization in seniors prior to hospitalization for community-acquired pneumonia is associated with decreased in-hospital mortality,” J. Clin. Pharm. Ther., vol. 29, no. 3, pp. 231–239, 2004, pmid:15153084
  35. 35. Saatchi A. et al., “Appropriateness of Outpatient Antibiotic Use in Seniors across Two Canadian Provinces,” Antibiotics, vol. 10, no. 12, Art. no. 12, Dec. 2021, pmid:34943696
  36. 36. Garin N. et al., “β-Lactam monotherapy vs β-lactam-macrolide combination treatment in moderately severe community-acquired pneumonia: a randomized noninferiority trial,” JAMA Intern. Med., vol. 174, no. 12, pp. 1894–1901, Dec. 2014, pmid:25286173
  37. 37. Blumenthal K. G., Peter J. G., Trubiano J. A., and Phillips E. J., “Antibiotic allergy,” Lancet Lond. Engl., vol. 393, no. 10167, pp. 183–198, Jan. 2019, pmid:30558872
  38. 38. Zhou L. et al., “Drug allergies documented in electronic health records of a large healthcare system,” Allergy, vol. 71, no. 9, pp. 1305–1313, 2016, pmid:26970431
  39. 39. Cadieux G. and Tamblyn R., “Accuracy of physician billing claims for identifying acute respiratory infections in primary care,” Health Serv. Res., vol. 43, no. 6, pp. 2223–2238, Dec. 2008, pmid:18665858
  40. 40. Fleet J. L. et al., “Detecting chronic kidney disease in population-based administrative databases using an algorithm of hospital encounter and physician claim codes,” BMC Nephrol., vol. 14, no. 1, p. 81, Apr. 2013, pmid:23560464