Roles of Clinician, Patient, and Community Characteristics in the Management of Pediatric Upper Respiratory Tract Infections

Impact of health disparity on pediatric infections

PURPOSE OF REVIEW

The COVID-19 pandemic highlighted the health disparities among minoritized children due to structural racism and socioeconomic inequalities. This review discusses how health disparities affect pediatric infections and how they can be addressed.

RECENT FINDINGS

In addition to disparities in healthcare access due to poverty, geography, and English-language proficiency, implicit and explicit bias affects the healthcare quality and subsequent outcomes in children and adolescents with infections. Disparities in clinical trial enrollment affect the generalizability of research findings. Physicians who understand their patients' languages and the contexts of culture and socioeconomic conditions are better equipped to address the needs of specific populations and the health disparities among them.

SUMMARY

Addressing disparities in pediatric infections requires prioritization of efforts to increase physician workforce diversity in Pediatric Infectious Diseases, as well as education in bias reduction and culturally sensitive clinical practice, in addition to socioeconomic interventions that improve healthcare access, delivery, and outcomes.

Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017-2022

Purpose

To explore the prescription patterns and usage trends of antibiotics within primary care institutions located in underdeveloped regions of China from 2017 to 2022.

Methods

A retrospective analysis of antibiotic prescriptions was conducted from 25 primary care institutions in Guizhou Province during the period of 2017-2022. Antibiotic prescriptions were categorized into appropriate and inappropriate use. Appropriate use is further categorized into preferred medication, and antibiotics can be used or substituted. Inappropriate use is further categorized into unnecessary use, incorrect spectrum of antibiotics and combined use of antibiotics. Factors associated with inappropriate use were investigated using generalized estimation equations. Holt-Winters and SARIMA models were employed to predict the number of inappropriate antibiotic prescriptions as the alternative model.

Results

A total of 941,924 prescriptions were included, revealing a decreasing trend in both the number and inappropriate rates of antibiotic prescriptions from 2017 to 2022. Diseases of the respiratory system (70.66%) was the most frequent target of antibiotic use, with acute upper respiratory infections of multiple and unspecified sites representing 52.04% of these cases. The most commonly used antibiotics were penicillins (64.44%). Among all prescriptions, inappropriate antibiotic prescriptions reached 66.19%. Physicians aged over 35, holding the title of associate chief physician and possessing more than 11 years of experience were more likely to prescribe antibiotics inappropriately. The phenomenon of inappropriate antibiotic use was commoner among children aged five or younger. By comparing model parameters, it was determined that the SARIMA model outperforms the Holt-Winters model in predicting the number of inappropriate antibiotic prescriptions among primary care institutions.

Conclusion

The number and inappropriate rates of antibiotic prescriptions in southwest China exhibited a downward trend from 2017 to 2022, but inappropriate prescription remains a serious problem in primary care institutions. Therefore, future efforts should focus on strengthening physician education, training, and clinical practice. Additionally, physicians' awareness of common misconceptions about inappropriate antibiotic use must be improved, and the prescribing behavior of physicians who fulfill patients' expectations by prescribing antibiotics needs to be modified.

National Disparities in Antibiotic Prescribing by Race, Ethnicity, Age Group, and Sex in United States Ambulatory Care Visits, 2009 to 2016

While efforts have been made in the United States (US) to optimize antimicrobial use, few studies have explored antibiotic prescribing disparities that may drive future interventions. The objective of this study was to evaluate disparities in antibiotic prescribing among US ambulatory care visits by patient subgroups. This was a retrospective, cross-sectional study utilizing the National Ambulatory Medical Care Survey from 2009 to 2016. Antibiotic use was described as antibiotic visits per 1000 total patient visits. The appropriateness of antibiotic prescribing was determined by ICD-9 or ICD-10 codes assigned during the visit. Subgroup analyses were conducted by patient race, ethnicity, age group, and sex. Over 7.0 billion patient visits were included; 11.3% included an antibiotic prescription. Overall and inappropriate antibiotic prescription rates were highest in Black (122.2 and 78.0 per 1000) and Hispanic patients (138.6 and 79.8 per 1000). Additionally, overall antibiotic prescription rates were highest in patients less than 18 years (169.6 per 1000) and female patients (114.1 per 1000), while inappropriate antibiotic prescription rates were highest in patients 18 to 64 years (66.0 per 1000) and in males (64.8 per 1000). In this nationally representative study, antibiotic prescribing disparities were found by patient race, ethnicity, age group, and sex.

Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses

Using a machine-learning model, we examined drivers of antibiotic prescribing for antibiotic-inappropriate acute respiratory illnesses in a large US claims data set. Antibiotics were prescribed in 11% of the 42 million visits in our sample. The model identified outpatient setting type, patient age mix, and state as top drivers of prescribing.

Rural-urban differences in antibiotic prescribing for uncomplicated urinary tract infection

OBJECTIVE

To examine rural-urban differences in temporal trends and risk of inappropriate antibiotic use by agent and duration among women with uncomplicated urinary tract infection (UTI).

DESIGN

Observational cohort study.

METHODS

Using the IBM MarketScan Commercial Database (2010-2015), we identified US commercially insured women aged 18-44 years coded for uncomplicated UTI and prescribed an oral antibiotic agent. We classified antibiotic agents and durations as appropriate versus inappropriate based on clinical guidelines. Rural-urban status was defined by residence in a metropolitan statistical area. We used modified Poisson regression to determine the association between rural-urban status and inappropriate antibiotic receipt, accounting for patient- and provider-level characteristics. We used multivariable logistic regression to estimate trends in antibiotic use by rural-urban status.

RESULTS

Of 670,450 women with uncomplicated UTI, a large proportion received antibiotic prescriptions for inappropriate agents (46.7%) or durations (76.1%). Compared to urban women, rural women were more likely to receive prescriptions with inappropriately long durations (adjusted risk ratio 1.10, 95% CI, 1.10-1.10), which was consistent across subgroups. From 2011 to 2015, there was slight decline in the quarterly proportion of patients who received inappropriate agents (48.5% to 43.7%) and durations (78.3% to 73.4%). Rural-urban differences varied over time by agent (duration outcome only), geographic region, and provider specialty.

CONCLUSIONS

Inappropriate antibiotic prescribing is quite common for the treatment of uncomplicated UTI. Rural women are more likely to receive inappropriately long antibiotic durations. Antimicrobial stewardship interventions are needed to improve outpatient UTI antibiotic prescribing and to reduce unnecessary exposure to antibiotics, particularly in rural settings.

Prevalence and predictors of antibiotic use among children visiting the Emergency Department in a Tertiary Hospital in Malaysia

Inappropriate use of antibiotics in human and animal is one of the causes of antimicrobial resistance. This study evaluates the prevalence and predictors of antibiotic use among pediatric patients visiting the Emergency Department (ED) in Malaysia. A retrospective cross-sectional study was conducted in the ED of a tertiary hospital. Data of children aged 2 to 11 years who visited the ED from January-May 2015 were extracted from the patient's assessment forms. A total of 549 children were included in the analysis (median age 5 years) of which 54.3% were boys. Upper respiratory tract infections (URTI) were the most common diagnosis. Antibiotic was prescribed in 43.5% of the children. Children who visited the ED during the weekend (OR, 1.65; 95% confidence interval (CI) 1.13-2.40, P = 0.009), those diagnosed with URTI (OR 3.81; 95% CI, 2.45-5.93, P < 0.001) and those with a longer duration of fever (OR, 1.31; 95% CI, 1.15-1.48, P < 0.001) were more likely to have an antibiotic prescription.Conclusions: Antibiotic was prescribed in more than one-third of children who visited the ED and antibiotic use was associated with visits during the weekend, URTI, and duration of fever. Antimicrobial stewardship program is recommended in the pediatric ED to improve appropriate use of antibiotics.What is Known:•Use of antibiotic among children increases the risk of antibiotic resistance and adverse drug reactions.•Patient-, clinical-, and prescriber-related factors are three important domain associated with antibiotic use in children.What is New:•Fever and upper respiratory tract infections account for majority of antibiotic prescriptions.•The "weekend effect" influences the use of antibiotics in the ED while upper respiratory tract infection is the strongest predictor of antibiotic use among children visiting the ED.

Changes in Outpatient Use of Antibiotics by Adults in the United States, 2006-2015

INTRODUCTION

Numerous initiatives over the past decade have targeted the problem of antibiotic overuse in the US; however, the cumulative impact of such initiatives upon recent patterns of use is not known.

OBJECTIVES

The aims of this study were to (1) describe general trends in outpatient antibiotic use among adults over the period 2006-2015; and (2) identify rapid shifts in use during this time period as potential indicators for key events.

METHODS

This was an observational study set in the ambulatory setting. Patients ≥ 18 years of age were selected from the Optum Clinformatics Datamart™, a commercial insurance claims database. The outcome measures of interest were prescriptions filled/1000 enrolled individuals, by year or quarter. We used linear regression to identify trends in use over multiple years, and change-point regression to identify rapid shifts in use within individual years.

RESULTS

From 2006 to 2015, antibiotic use declined significantly, decreasing by 12% for adults younger than 65 years of age (913-807 prescriptions/1000 individuals, p = 0.0001) and by 5% for adults ≥ 65 years of age (991-943 prescriptions/1000 individuals, p = 0.018). With change-point regression, we identified a number of rapid shifts in the use of specific antibiotic classes, such as downward shifts in the use of quinolones and macrolides during the second quarter of 2008 and 2013, respectively.

CONCLUSIONS

Over the period 2006-2015 outpatient use of antibiotics decreased substantially among adults. Rapid shifts in use occurring in 2008 and 2013 may reflect the presence of key drivers of change, such as abrupt changes in access to care or perceived antibiotic safety.

Influenza-like illness and antimicrobial prescribing in Australian general practice from 2015 to 2017: a national longitudinal study using the MedicineInsight dataset

OBJECTIVES

To investigate the epidemiology of influenza-like illness (ILI) by general practice and patient characteristics, and explore whether sociodemographic variables or comorbidities affect antiviral or antibiotic prescribing.

DESIGN

Open cohort study.

SETTING

A representative sample of 550 Australian general practices contributing data to the MedicineInsight programme.

PARTICIPANTS

4 228 149 patients of all age groups who had at least one consultation between 2015 and 2017. Median age was 37 years (Interquartile range: 21-57), 54.4% women, 16.4% aged ≥65 years, 2.2% Aboriginal or Torres Strait Islander, 17.6% had a chronic disease and 18.1% a mental health condition.

PRIMARY AND SECONDARY OUTCOME MEASURES

ILI consultation rates (per 1000 consultations) were calculated using all ILI diagnoses for all clinical encounters with a general practitioner between 2015 and 2017. Antiviral and antibiotic prescribing for ILI cases were investigated and logistic regression models adjusted for practice and patient characteristics used to analyse associations.

RESULTS

ILI consultation rates in 2017 were higher than in previous years. Antiviral prescribing increased from 20.6% in 2015, to 23.7 in 2016 and 29.7% in 2017, while antibiotic prescribing decreased from 30.3% to 28.0% and 26.7%, respectively (p<0.05 in both cases). Practices located in high socioeconomic areas had higher ILI consultation rates (4.3 vs 2.5 per 1000 consultations, p<0.05), antibiotic (30.7% vs 23.4%, p<0.05) and antiviral (34.2% vs 13.5%, p<0.05) prescribing than those in lower socioeconomic areas. The coexistence of chronic or mental health conditions was associated with lower ILI consultation rates, higher antibiotic use, but not with antiviral prescribing. However, those with chronic respiratory conditions had a higher frequency of antibiotic and antiviral prescribing in 2017 than individuals with other comorbidities.

CONCLUSIONS

Although the apparent decline in antibiotic prescribing for ILI is welcome, the increase in antiviral use may not be targeting those at high risk of complications from infection.

Medical management of acute upper respiratory infections in an urban primary care out-of-hours facility: cross-sectional study of patient presentations and expectations

OBJECTIVES

The purpose of this study was to examine the expectations of patients attending an urban primary care out-of-hours (OOH) facility with acute upper respiratory tract infection (acute URTI) regarding clinical examination, symptom management, information on their condition, reassurance, antibiotic treatment and other possible options including referral.

DESIGN

Cross-sectional design.

SETTING

One urban primary care OOH facility located in the midwest of Ireland.

PARTICIPANTS

457 patients filled out a questionnaire while waiting in the OOH facility; 22 surveys were excluded as the patients did not present with symptoms of acute URTI resulting in 435 patients' data being included in this study. There were 59.5% female participants and 40.5% male participants.

RESULTS

435 patients with acute URTI symptoms participated in the survey, representing 25.4% of those attending the single branch where the survey was conducted (n=1715). Of the study participants, 43% were aged under 6 years and 60% were women. The most common presenting symptoms were cough (72%), throat ache (46%) and common cold (26%). The most common expectations were for further examination (53%), reassurance (51%), information (49%) and medication for cough (47%), with 34% expecting an antibiotic.

CONCLUSIONS

Only one in three patients attending this primary care OOH facility with acute URTI symptoms had an expectation of antibiotics, with most seeking further assessment, information and reassurance. Recognition of such expectations may be important considerations for clinicians when deciding on management options for patients with acute URTI.

Antibiotic Prescribing for Children in United States Emergency Departments: 2009-2014

: media-1vid110.1542/5972296744001PEDS-VA_2018-1056Video Abstract OBJECTIVES: To characterize and compare ambulatory antibiotic prescribing for children in US pediatric and nonpediatric emergency departments (EDs).

METHODS

A cross-sectional retrospective study of patients aged 0 to 17 years discharged from EDs in the United States was conducted by using the 2009-2014 National Hospital Ambulatory Medical Care Survey ED data. We estimated the proportion of ED visits resulting in antibiotic prescriptions, stratified by antibiotic spectrum, class, diagnosis, and ED type ("pediatric" defined as >75% of visits by patients aged 0-17 years, versus "nonpediatric"). Multivariable logistic regression was used to determine factors independently associated with first-line, guideline-concordant prescribing for acute otitis media, pharyngitis, and sinusitis.

RESULTS

In 2009-2014, of the 29 million mean annual ED visits by children, 14% (95% confidence interval [CI]: 10%-20%) occurred at pediatric EDs. Antibiotics overall were prescribed more frequently in nonpediatric than pediatric ED visits (24% vs 20%, P < .01). Antibiotic prescribing frequencies were stable over time. Of all antibiotics prescribed, 44% (95% CI: 42%-45%) were broad spectrum, and 32% (95% CI: 30%-34%, 2.1 million per year) were generally not indicated. Compared with pediatric EDs, nonpediatric EDs had a higher frequency of prescribing macrolides (18% vs 8%, P < .0001) and a lower frequency of first-line, guideline-concordant prescribing for the respiratory conditions studied (77% vs 87%, P < .001).

CONCLUSIONS

Children are prescribed almost 7 million antibiotic prescriptions in EDs annually, primarily in nonpediatric EDs. Pediatric antibiotic stewardship efforts should expand to nonpediatric EDs nationwide, particularly regarding avoidance of antibiotic prescribing for conditions for which antibiotics are not indicated, reducing macrolide prescriptions, and increasing first-line, guideline-concordant prescribing.

Antibiotic use for acute respiratory tract infections (ARTI) in primary care; what factors affect prescribing and why is it important? A narrative review

BACKGROUND

Antimicrobial resistance is an emerging global threat to health and is associated with increased consumption of antibiotics. Seventy-four per cent of antibiotic prescribing takes place in primary care. Much of this is for inappropriate treatment of acute respiratory tract infections.

AIMS

To review the published literature pertaining to antibiotic prescribing in order to identify and understand the factors that affect primary care providers' prescribing decisions.

METHODS

Six online databases were searched for relevant paper using agreed criteria. One hundred ninety-five papers were retrieved, and 139 were included in this review.

RESULTS

Primary care providers are highly influenced to prescribe by patient expectation for antibiotics, clinical uncertainty and workload induced time pressures. Strategies proven to reduce such inappropriate prescribing include appropriately aimed multifaceted educational interventions for primary care providers, mass media educational campaigns aimed at healthcare professionals and the public, use of good communication skills in the consultation, use of delayed prescriptions especially when accompanied by written information, point of care testing and, probably, longer less pressurised consultations. Delayed prescriptions also facilitate focused personalised patient education.

CONCLUSION

There is an emerging consensus in the literature regarding strategies proven to reduce antibiotic consumption for acute respiratory tract infections. The widespread adoption of these strategies in primary care is imperative.

Early-life antibiotic exposure increases the risk of developing allergic symptoms later in life: A meta-analysis

This study systematically reviewed and quantified the relationship between exposure to antibiotics during the first 2 years of life and the risk of allergies/atopies including hay fever, eczema, food allergy, positive skin prick testing (SPT), or elevated allergen-specific serum/plasma immunoglobulin (Ig) E levels later in life. PubMed and Web of Science databases were searched for observational studies published from January 1966 through November 11, 2015. Overall pooled estimates of the odds ratios (ORs) were obtained using fixed or random-effects models. Early-life exposure to antibiotics appears to be related to an increased risk of allergic symptoms of hay fever, eczema, and food allergy later in life. The summary OR for the risk of hay fever (22 studies) was 1.23, 95% confidence interval (CI):1.13-1.34; I² : 77.0%. The summary OR for the risk of eczema (22 studies) was 1.26, 95% CI: 1.15-1.37; I² : 74.2%, and the summary OR for food allergy (3 studies) was 1.42, 95% CI: 1.08-1.87; I² : 80.8%. However, no association was found for antibiotics exposure early in life and objective atopy measurements including positive SPT or elevated allergen-specific serum/plasma IgE levels.

Using electronic health record data for environmental and place based population health research: a systematic review

PURPOSE

We conducted a systematic review of literature published on January 2000-May 2017 that spatially linked electronic health record (EHR) data with environmental information for population health research.

METHODS

We abstracted information on the environmental and health outcome variables and the methods and data sources used.

RESULTS

The automated search yielded 669 articles; 128 articles are included in the full review. The number of articles increased by publication year; the majority (80%) were from the United States, and the mean sample size was approximately 160,000. Most articles used cross-sectional (44%) or longitudinal (40%) designs. Common outcomes were health care utilization (32%), cardiometabolic conditions/obesity (23%), and asthma/respiratory conditions (10%). Common environmental variables were sociodemographic measures (42%), proximity to medical facilities (15%), and built environment and land use (13%). The most common spatial identifiers were administrative units (59%), such as census tracts. Residential addresses were also commonly used to assign point locations, or to calculate distances or buffer areas.

CONCLUSIONS

Future research should include more detailed descriptions of methods used to geocode addresses, focus on a broader array of health outcomes, and describe linkage methods. Studies should also explore using longitudinal residential address histories to evaluate associations between time-varying environmental variables and health outcomes.

Racial and Ethnic Differences in Antibiotic Use for Viral Illness in Emergency Departments

BACKGROUND AND OBJECTIVES

In the primary care setting, there are racial and ethnic differences in antibiotic prescribing for acute respiratory tract infections (ARTIs). Viral ARTIs are commonly diagnosed in the pediatric emergency department (PED), in which racial and ethnic differences in antibiotic prescribing have not been previously reported. We sought to investigate whether patient race and ethnicity was associated with differences in antibiotic prescribing for viral ARTIs in the PED.

METHODS

This is a retrospective cohort study of encounters at 7 PEDs in 2013, in which we used electronic health data from the Pediatric Emergency Care Applied Research Network Registry. Multivariable logistic regression was used to examine the association between patient race and ethnicity and antibiotics administered or prescribed among children discharged from the hospital with viral ARTI. Children with bacterial codiagnoses, chronic disease, or who were immunocompromised were excluded. Covariates included age, sex, insurance, triage level, provider type, emergency department type, and emergency department site.

RESULTS

Of 39 445 PED encounters for viral ARTIs that met inclusion criteria, 2.6% (95% confidence interval [CI] 2.4%-2.8%) received antibiotics, including 4.3% of non-Hispanic (NH) white, 1.9% of NH black, 2.6% of Hispanic, and 2.9% of other NH children. In multivariable analyses, NH black (adjusted odds ratio [aOR] 0.44; CI 0.36-0.53), Hispanic (aOR 0.65; CI 0.53-0.81), and other NH (aOR 0.68; CI 0.52-0.87) children remained less likely to receive antibiotics for viral ARTIs.

CONCLUSIONS

Compared with NH white children, NH black and Hispanic children were less likely to receive antibiotics for viral ARTIs in the PED. Future research should seek to understand why racial and ethnic differences in overprescribing exist, including parental expectations, provider perceptions of parental expectations, and implicit provider bias.

Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature

BACKGROUND

Primary care data gathered from Electronic Health Records are of the utmost interest considering the essential role of general practitioners (GPs) as coordinators of patient care. These data represent the synthesis of the patient history and also give a comprehensive picture of the population health status. Nevertheless, discrepancies between countries exist concerning routine data collection projects. Therefore, we wanted to identify elements that influence the development and durability of such projects.

METHODS

A systematic review was conducted using the PubMed database to identify worldwide current primary care data collection projects. The gray literature was also searched via official project websites and their contact person was emailed to obtain information on the project managers. Data were retrieved from the included studies using a standardized form, screening four aspects: projects features, technological infrastructure, GPs' roles, data collection network organization.

RESULTS

The literature search allowed identifying 36 routine data collection networks, mostly in English-speaking countries: CPRD and THIN in the United Kingdom, the Veterans Health Administration project in the United States, EMRALD and CPCSSN in Canada. These projects had in common the use of technical facilities that range from extraction tools to comprehensive computing platforms. Moreover, GPs initiated the extraction process and benefited from incentives for their participation. Finally, analysis of the literature data highlighted that governmental services, academic institutions, including departments of general practice, and software companies, are pivotal for the promotion and durability of primary care data collection projects.

CONCLUSION

Solid technical facilities and strong academic and governmental support are required for promoting and supporting long-term and wide-range primary care data collection projects.

Predictors for under-prescribing antibiotics in children with respiratory infections requiring antibiotics

BACKGROUND/OBJECTIVE

Previous studies showed variability in the use of diagnostic and therapeutic resources for children with febrile acute respiratory tract infections (ARTI), including antibiotics. Unnecessary antibiotic use has important public and individual health outcomes, but missed antibiotic prescribing also has important consequences. We sought to determine factors associated with antibiotic prescribing in pediatric ARTI, specifically those with pneumonia.

METHODS

We assessed national trends in the evaluation and treatment of ARTI for pediatric emergency department (ED) patients by analyzing the National Hospital Ambulatory Medical Care Survey from 2002 to 2013. We identified ED patients aged ≤18 with a reason for visit of ARTI, and created 4 diagnostic categories: pneumonia, ARTI where antibiotics are typically indicated, ARTI where antibiotics are typically not indicated, and "other" diagnoses. Our primary outcome was factors associated with the administration or prescription of antibiotics. A multivariate logistic regression model was fit to identify risk factors for underuse of antibiotics when they were indicated.

RESULTS

We analyzed 6461 visits, of which 10.2% of the population had a final diagnosis of pneumonia and 86% received antibiotics. 41.5% of patients were diagnosed with an ARTI requiring antibiotics, of which 53.8% received antibiotics. 26.6% were diagnosed with ARTI not requiring antibiotics, of which 36.0% received antibiotics. Black race was a predictor for the underuse of antibiotics in ARTIs that require antibiotics (OR: 0.72; 95% CI: 0.58-0.90).

CONCLUSIONS

For pediatric patients presenting to the ED with pneumonia and ARTI requiring antibiotics, we found that black race was an independent predictor of antibiotic underuse.

Variability in Antibiotic Prescribing for Community-Acquired Pneumonia

BACKGROUND AND OBJECTIVES

Published guidelines recommend amoxicillin for most children with community-acquired pneumonia (CAP), yet macrolides and broad-spectrum antibiotics are more commonly prescribed. We aimed to determine the patient and clinician characteristics associated with the prescription of amoxicillin versus macrolide or broad-spectrum antibiotics for CAP.

METHODS

Retrospective cohort study in an outpatient pediatric primary care network from July 1, 2009 to June 30, 2013. Patients prescribed amoxicillin, macrolides, or a broad-spectrum antibiotic (amoxicillin-clavulanic acid, cephalosporin, or fluoroquinolone) for CAP were included. Multivariable logistic regression models were implemented to identify predictors of antibiotic choice for CAP based on patient- and clinician-level characteristics, controlling for practice.

RESULTS

Of 10 414 children, 4239 (40.7%) received amoxicillin, 4430 (42.5%) received macrolides and 1745 (16.8%) received broad-spectrum antibiotics. The factors associated with an increased odds of receipt of macrolides compared with amoxicillin included patient age ≥5 years (adjusted odds ratio [aOR]: 6.18; 95% confidence interval [CI]: 5.53-6.91), previous antibiotic receipt (aOR: 1.79; 95% CI: 1.56-2.04), and private insurance (aOR: 1.47; 95% CI: 1.28-1.70). The predicted probability of a child being prescribed a macrolide ranged significantly between 0.22 and 0.83 across clinics. The nonclinical characteristics associated with an increased odds of receipt of broad-spectrum antibiotics compared with amoxicillin included suburban practice (aOR: 7.50; 95% CI: 4.16-13.55) and private insurance (aOR: 1.42; 95% CI: 1.18-1.71).

CONCLUSIONS

Antibiotic choice for CAP varied widely across practices. Factors unlikely related to the microbiologic etiology of CAP were significant drivers of antibiotic choice. Understanding drivers of off-guideline prescribing can inform targeted antimicrobial stewardship initiatives.

Predictors of public support for nutrition-focused policy, systems and environmental change strategies in Los Angeles County, 2013

BACKGROUND

Since 2010, federal and local agencies have invested broadly in a variety of nutrition-focused policy, systems and environmental change (PSE) initiatives in Los Angeles County (LAC). To date, little is known about whether the public supports such efforts. We address this gap in the literature by examining predictors of support for a variety of PSEs.

METHODS

Voters residing in LAC (n=1007) were randomly selected to participate in a cross-sectional telephone survey commissioned by the LAC Department of Public Health. The survey asked questions about attitudes towards the obesity epidemic, nutrition knowledge and behaviours, public opinions about changing business practices/government policies related to nutrition, and sociodemographics. A factor analysis informed outcome variable selection (ie, type of PSEs). Multivariable regression analyses were performed to examine predictors of public support. Predictors in the regression models included (primary regressor) community economic hardship; (control variables) political affiliation, sex, age, race and income; and (independent variables) perceptions about obesity, perceived health and weight status, frequency reading nutrition labels, ease of finding healthy and unhealthy foods, and food consumption behaviours (ie, fruit and vegetables, non-diet soda, fast-food and sit-down restaurant meals).

RESULTS

3 types of PSE outcome variables were identified: promotional/incentivising, limiting/restrictive and business practices. Community economic hardship was not found to be a significant predictor of public support for any of the 3 PSE types. However, Republican party affiliation, being female and perceiving obesity as a serious health problem were.

CONCLUSIONS

These findings have implications for public health practice and community planning in local health jurisdictions.

Antibiotic prescribing for upper respiratory infections among children in rural China: a cross-sectional study of outpatient prescriptions

BACKGROUND

Overuse of antibiotics contributes to the development of antimicrobial resistance.

OBJECTIVE

This study aims to assess the condition of antibiotic use at health facilities at county, township and village levels in rural Guangxi, China.

METHODS

We conducted a cross-sectional study of outpatient antibiotic prescriptions in 2014 for children aged 2-14 years with upper respiratory infections (URI). Twenty health facilities were randomly selected, including four county hospitals, eight township hospitals and eight village clinics. Prescriptions were extracted from the electronic records in the county hospitals and paper copies in the township hospitals and village clinics.

RESULTS

The antibiotic prescription rate was higher in township hospitals (593/877, 68%) compared to county hospitals (2736/8166, 34%) and village clinics (96/297, 32%) (p < 0.001). Among prescriptions containing antibiotics, county hospitals were found to have the highest use rate of broad-spectrum antibiotics (82 vs 57% [township], vs 54% [village], p < 0.001), injectable antibiotics (65 vs 43% [township], vs 33% [village], p < 0.001) and multiple antibiotics (47 vs 15% [township], vs 0% [village], p < 0.001). Logistic regression showed that the likelihood of prescribing an antibiotic was significantly associated with patients being 6-14 years old compared with being 2-5 years old (adjusted odds ratio [aOR] = 1.3, 95% CI 1.2-1.5), and receiving care at township hospitals compared with county hospitals (aOR = 5.0, 95% CI 4.1-6.0). Prescriptions with insurance copayment appeared to lower the risk of prescribing antibiotics compared with those without (aOR = 0.8, 95% CI 0.7-0.9).

CONCLUSIONS

Inappropriate use of antibiotics was high for outpatient childhood URI in the four counties of Guangxi, China, with the highest rate found in township hospitals. A significant high proportion of prescriptions containing antibiotics were broad-spectrum, by intravenous infusion or with multiple antibiotics, especially at county hospitals. Urgent attention is needed to address this challenge.