Antibiotic use and irrational antibiotic prescriptions in 66 primary healthcare institutions in Beijing City, China, 2015-2018

Evaluation of appropriateness of antibiotic prescribing in primary healthcare institutions in China using proxy indicator

Background

Our objectives were to develop a set of proxy indicators (PIs) suited for assessing antibiotic use appropriateness in China's primary healthcare institutions (PHIs), and assess performance scores of these PIs while exploring factors that influence the antibiotic appropriateness.

Methods

We selected potential PIs for the PHIs through a RAND-modified Delphi procedure, and assessed clinimetric properties, focusing on measurability, applicability, and potential for improvement. PIs with favorable clinimetric properties were used to evaluate antibiotic prescription appropriateness by calculating performance scores of each PI. Institutions were categorized into three clusters representing different levels of appropriateness. We used the chi-square test and an ordinal logistic regression model at PHI level to explore factors influencing antibiotic appropriateness.

Findings

Eighteen PIs were developed through two rounds of online surveys and one face-to-face meeting involving 20 stakeholders. All PIs met the clinimetric properties criteria and were used to analyze 209,662 antibiotic prescriptions across 269 PHIs. The percentage of PHIs meeting the target ranged from 3.1% to 69.3%, with 6 PIs below 10%. The appropriateness of antibiotic prescriptions was significantly associated with percentages of patients' gender of the PHIs.

Interpretation

The varied and suboptimal performance of the PIs indicated the need for diverse efforts to enhance the rational antibiotic use at PHI level. It was necessary to devise distinct sets of PIs for diverse settings in future endeavors.

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 72374009, 81973294).

Dissemination and characteristics of carbapenem-resistant Klebsiella pneumoniae in nine district hospitals in southwestern China

Background

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is epidemically transmitted globally, but few studies focused on the prevalence in district-level hospitals. In this study, we investigated CRKP strains collected from nine district hospitals from September 2019 to September 2020, aiming to determine the resistance mechanisms, virulence profiles, and molecular epidemiological characteristics of CRKP in district hospitals in Southwest China.

Methods

A total of 51 CRKP strains were collected from 9 district-level hospitals. Matrix-assisted laser desorption/ionization-time of flight mass spectrometer was used for strain identification review, and the micro-broth dilution method was used for antibiotic sensitivity detection. Molecular epidemiological investigation of strains was performed by multilocus sequence typing (MLST) and pulsed-field gel electrophoresis (PFGE) methods. PCR and efflux pump inhibition tests were used to detect CRKP resistance mechanisms. PCR and serum killing tests were used to detect capsular serotype, virulence-related genes, and virulence validation.

Results

The CRKP strains in district hospitals presented high levels of MIC50 and MIC90 in carbapenem antibiotics especially ertapenem and meropenem. A total of 90.2% (46/51) CRKP strains were detected as carbapenemase producers, and the proportion of strains co-expressing carbapenemases was 11.8% (6/51). All CRKP strains were grouped into eight MLST types, and ST11 was the most prevalent genotype. A total of 11.8% (6/51) CRKP isolates were positive for the string test, and three strains of hypervirulent and carbapenem-resistant K. pneumoniae (HV-CRKP) were positive in serum killing test. The molecular typing of all the CRKP isolates was grouped into 29 different PFGE patterns, and 40 ST11 isolates belonged to 20 different PFGE clusters.

Conclusion

CRKP strains showed high-level antibiotic resistance and virulence phenotype in district hospitals in Southwest China, which suggested that we should immediately pay attention to the rapid dissemination of the CRKP in regional hospitals. Our study will provide new insights into the epidemiology of CRKP in regional hospitals, which will help regional hospitals develop nosocomial infection prevention and control policies tailored to local conditions.

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.

Antibiotic Prescription Patterns for Acute Respiratory Infections in Rural Primary Healthcare Settings in Guangdong, China: Analysis of 162,742 Outpatient Prescriptions

Overuse and inappropriate use of antibiotics are important contributors to bacterial antimicrobial resistance (AMR), especially in ambulatory primary healthcare (PHC) settings in low- and middle-income countries. This study aimed to investigate antibiotic prescription patterns among patients with acute respiratory infections (ARIs) in rural PHC facilities in the Guangdong Province, China. A total of 444,979 outpatient prescriptions were extracted from the electronic medical record system of 35 township health centers (THCs) and 2 community health centers (CHCs) between November 2017 and October 2018. We used the chi-square test to analyze the antibiotic prescription patterns and binary logistic regression to explore patient-related factors associated with antibiotic prescriptions. Of the 162,742 ARI prescriptions, 85.57% (n = 139,259) included at least one antibiotic. Among the 139,259 prescriptions with antibiotics, 37.82% (n = 52,666) included two or more antibiotics, 55.29% (n = 76,993) included parenteral antibiotics, and 56.62% (n = 78,852) included Watch group antibiotics. The binary logistic regression indicated that (1) female patients were slightly less likely to be prescribed antibiotics than males (adjusted odds ratio (OR) = 0.954, 95% confidence interval [CI] [0.928-0.981]; p = 0.001); and (2) compared to patients aged ≤5 years, those who were 6-15 years old (adjusted OR = 1.907, 95% CI [1.840-1.978]; p < 0.001), 16-60 years old (adjusted OR = 1.849, 95% CI [1.785-1.916]; p < 0.001), and >60 years old (adjusted OR = 1.915, 95% CI [1.810-2.026]; p < 0.001) were more likely to be prescribed antibiotics. The overuse and irrational use of antibiotics in PHC settings remain major healthcare challenges in rural Guangdong. Thus, it is imperative to implement targeted antimicrobial stewardship (AMS) policies to address this problem.

Weighing patient attributes in antibiotic prescribing for upper respiratory tract infections: A discrete choice experiment on primary care physicians in Hubei Province, China

Objectives

This study aimed to determine how primary care physicians weigh intervenable patient attributes in their decisions of antibiotic prescribing for upper respiratory tract infections (URTIs).

Methods

A discrete choice experiment (DCE) was conducted on 386 primary care physicians selected through a stratified cluster sampling strategy in Hubei province, China. The patient attributes tested in the DCE were identified through semi-structured interviews with 13 primary care physicians, while the choice scenarios were determined by a D-efficient design with a zero prior parameter value. Conditional logit models (CL) and mixed logit models (MXL) were established to determine the preference of the study participants in antibiotic prescribing for URTI patients with various attributes. Relative importance (RI) was calculated to reflect the influence of each attribute.

Results

In addition to age and duration of symptoms, the interventionable patient attributes were also considered by the primary care physicians in their antibiotic prescribing decisions. They preferred to prescribe antibiotics for URTI patients with difficulties to schedule a follow-up appointment (p < 0.001) and for those without a clear indication of refusal to antibiotics (p < 0.001). Patient request for antibiotics had an RI ranging from 15.2 to 16.3%, compared with 5.1-5.4% for easiness of follow-up appointment. The influence of these two interventionable patient attributes was most profound in the antibiotic prescribing decisions for patients aged between 60 and 75 years as indicated by their interaction effects with age (β = 0.69 for request for antibiotics, p < 0.01; β = -1.2 for easiness of follow-up, p < 0.001).

Conclusion

Reducing patient pressure and improving accessibility and continuity of care may help primary care physicians make rational antibiotic prescribing decisions for URTIs.

Inappropriate antibiotic prescribing in primary healthcare facilities in China: a nationwide survey, 2017-2019

OBJECTIVES

We aimed to generate comprehensive estimates of the appropriateness of outpatient antibiotic prescriptions at primary healthcare facilities (PHFs) in China.

METHODS

Between 2017 and 2019, we collected outpatient-visit prescriptions from 269 Chinese PHFs in 31 cities located in 6 provinces. Conditions that resulted in antibiotic use were classified into appropriate, potentially appropriate, and inappropriate using a well-established classification approach. We then assessed the magnitude, appropriateness, and costs of antibiotic prescribing, overall and by antibiotic classification group, diagnostic categories, and patient characteristics.

RESULTS

Of all eligible 209 662 antibiotic prescriptions, 147 758 (70.5%) were inappropriate, which accounted for 66.8% (558.0/835.3 thousand US dollars) of costs for antibiotics. Upper respiratory tract infections, acute bronchitis, and non-infectious gastroenteritis were responsible for 68.9% (101 744/147 758) of inappropriately antibiotic prescriptions. High inappropriate antibiotic prescribing rates were observed among children aged 0-5 years (78.5% (21 049/26 799)) and patients living in economically undeveloped areas (77.5% (38 430/49 587)). A total of 256 474 individual antibiotics were prescribed, of which 82.2% (210 885/256 474) were broad-spectrum antibiotics, with second-generation cephalosporins (15.1% (38 705/256 474)) and third-generation cephalosporins (14.6% (37 491/256 474)) being the most commonly prescribed subgroups.

DISCUSSION

Our findings highlight the excessive and inappropriate use of antibiotics in Chinese PHFs pending multidimensional efforts.

Prevalence of Extended-Spectrum Beta Lactamase-Producing Microorganisms in Dr. Mohammad Hoesin Hospital Palembang

Production of Extended-Spectrum Beta-Lactamase (ESBL) by Enterobacteriaceae continues to be a problem of infectious diseases, especially in hospitals. The main causes of ESBL-producing bacteria colonization are urinary tract infections, length of hospital stay, invasive medical equipment, and antibiotics usage. This study aims to compare the incidence of ESBL based on the type of organism in Dr. Mohammad Hoesin Hospital for the 2017 and 2018 periods. The research design used was descriptive with a cross-sectional approach, which used secondary data at the Clinical Pathology Department of Dr. RSUP. Mohammad Hoesin Palembang. The findings of this study showed a decreasing pattern in the incidence of ESBL in 2017 and 2018, but with a similar pattern which was dominated by Klebsiella pneumoniae (followed by Escherichia coli and Klebsiella ozaenae), inpatients in pediatric wards, internal medicine, and intensive care units, and on sputum specimens. This study showed the presence of high levels of ESBL-producing bacteria (>60%) in Dr. Mohammad Hoesin Hospital, which was mainly caused by Klebsiella pneumoniae.

Appropriateness of Antibiotic Prescriptions in Chinese Primary Health Care and the Impact of the COVID-19 Pandemic: A Typically Descriptive and Longitudinal Database Study in Yinchuan City

Background: The appropriateness of antibiotic prescriptions in primary care has not been well evaluated in China in recent years. Furthermore, the impact of coronavirus disease 2019 (COVID-19) on antibiotic prescriptions has not yet been investigated in China. We aimed to assess the appropriateness of antibiotic prescriptions and to evaluate the potential association between the COVID-19 pandemic and antibiotic prescriptions in primary care settings of Yinchuan, a city in China. Methods: This study included 155 primary care institutions and 10,192,713 outpatient visits. Outpatient prescriptions were classified as appropriate, potentially appropriate, inappropriate, or not linked to any diagnosis for antibiotic use following a validated evaluation scheme. Interrupted time-series analyses were performed to assess the effects of the COVID-19 pandemic on antibiotic prescriptions in Chinese primary care facilities. Results: During the study period, 1,287,678 (12.6%, 95% confidence interval [12.6-12.7]) of 10,192,713 outpatient visits in primary care resulted in antibiotic prescriptions. Among 1,287,678 antibiotic prescriptions, 653,335 (50.7% [50.6-50.9]) were inappropriate, 463,081 (36.0% [35.8-36.1]) were potentially appropriate, 171,056 (13.3% [13.1-13.5]) were appropriate, and 206 could not be linked to any diagnosis. Furthermore, patient, physician, and institutional factors were associated with inappropriate antibiotic prescriptions; there was an overall decreasing trend in the proportions of inappropriate antibiotic prescriptions, with the highest level in 2017 (67.1% [66.8-67.5]) and the lowest in 2021 (40.8% [40.3-41.3]). A total of 1,416,120 individual antibiotics were prescribed, of which 1,087,630 (76.8%) were broad-spectrum and 777,672 (54.9%) were classified in the World Health Organization's "Watch" category. In addition, the COVID-19 pandemic was associated with changes of -2.8% (-4.4 to -1.3) in the level and 0.3% (0.2-0.3) in the monthly trend of antibiotic prescription rates, as well as changes of -5.9% (-10.2 to -1.5) in the level and 1.3% (1.0-1.6) in the monthly trend of the proportions of inappropriate antibiotic prescriptions. Conclusion: More than half of the antibiotic prescriptions were inappropriate during the study period in primary care in Yinchuan. The COVID-19 pandemic may be associated with a decrease in the overall and inappropriate use of antibiotics in primary care settings in China.