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Shen X, Stuart B, Cui E, Liu R, Zhang T, Chai J, Cong W, Hu X, Oliver I, Yao G, Little P, Lambert H, Yardley L, Cabral C, Wang D. A complex intervention to reduce antibiotic prescribing in rural China: a cluster randomised controlled trial. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 53:101236. [PMID: 39559165 PMCID: PMC11570860 DOI: 10.1016/j.lanwpc.2024.101236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 09/30/2024] [Accepted: 10/22/2024] [Indexed: 11/20/2024]
Abstract
Background Excessive use of antibiotics is a widespread problem. We aim to evaluate the efficacy of a multifaceted intervention for reducing antibiotic use in patients with respiratory tract infections (RTIs). Methods In this two-arm cluster randomized controlled trial, we enrolled patients aged 18+ with symptomatic RTIs at 40 township health centers (THCs) selected from 10 counties in Anhui, China. The THCs were randomized using an online tool ('Sealed Envelope') to intervention or usual care (1:1 ratio), stratified by baseline antibiotic prescribing and with random block sizes (4 or 6). The intervention had five components: a half-day clinician training, a WeChat-based peer support group, a decision aid, a poster commitment letter and a patient leaflet. The primary outcome was whether antibiotics were prescribed at the index consultation. Secondary measures included defined daily dose (DDD), illness recovery rate, re-visits to other care-givers or retail pharmacies and incremental cost-effectiveness ratio (ICER). These measures were analyzed using generalized linear mixed modeling controlling for clustering. The study was registered as ISRCTN30652037. Findings Between December 2021 and September 2022, 1053 patients were recruited (intervention, 21 THCs, n = 552; control, 19 THCs, n = 501), using consecutive sampling. Antibiotic prescribing rate was 55.25% and 66.67% in the intervention and control arms (Odds ratio 0.52, 95% confidence interval [CI]: 0.27, 0.98; p = 0.044). The intervention group also had lower, significant or non-significant, differences for other markers of antibiotic use: DDD (1.57 vs 2.75); prescriptions of two or more types of antibiotics (9.78% vs 11.58%); obtaining antibiotics from retail pharmacies (3.68% vs 5.78) or from other clinics (2.70% vs 4.05%). The intervention resulted in a cost reduction of 9.265 RMB (1.471 USD) per consultation episode and an ICER of -7769.98 RMB or -1233.33 USD/QALYs. The intervention did not encounter any major adverse event. Interpretation The intervention package was effective and cost-effective in reducing antibiotics prescribing without adverse effects. Funding The trial was supported by National Natural Science Foundation of China (No. 81861138049) and United Kingdom Research Innovation (No. MR/S013717/1).
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Affiliation(s)
- Xingrong Shen
- School of Health Service Management, Anhui Medical University, Hefei Anhui 230032, China
- Center for Operational Health Service Research, Anhui Medical University, Hefei Anhui 230032, China
| | - Beth Stuart
- Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Yvonne Carter Building, London, UK
| | - Enci Cui
- School of Health Service Management, Anhui Medical University, Hefei Anhui 230032, China
| | - Rong Liu
- School of Health Service Management, Anhui Medical University, Hefei Anhui 230032, China
| | - Tingting Zhang
- Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Jing Chai
- School of Health Service Management, Anhui Medical University, Hefei Anhui 230032, China
| | - Wenjuan Cong
- Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Xiaowen Hu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Isabel Oliver
- UK Health Security Agency, Bristol, UK
- National Institute of Health Research (NIHR) Health Protection Research Unit (HPRU) on Behavioural Science and Evaluation at the University of Bristol, Bristol, UK
| | - Guiqing Yao
- Department of Health Sciences, University of Leicester, Leicester, England, UK
| | - Paul Little
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Aldermoor Close, SO16 5ST, UK
| | - Helen Lambert
- Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Lucy Yardley
- School of Psychological Science, University of Bristol, 12A Priory Rd, Bristol, BS8 1TU, UK
- School of Psychology, University of Southampton, Building 44 Highfield Campus, Southampton, SO17 1BJ, UK
| | - Christie Cabral
- Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Debin Wang
- School of Health Service Management, Anhui Medical University, Hefei Anhui 230032, China
- Center for Operational Health Service Research, Anhui Medical University, Hefei Anhui 230032, China
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Crawshaw J, Meyer C, Antonopoulou V, Antony J, Grimshaw JM, Ivers N, Konnyu K, Lacroix M, Presseau J, Simeoni M, Yogasingam S, Lorencatto F. Identifying behaviour change techniques in 287 randomized controlled trials of audit and feedback interventions targeting practice change among healthcare professionals. Implement Sci 2023; 18:63. [PMID: 37990269 PMCID: PMC10664600 DOI: 10.1186/s13012-023-01318-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/19/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Audit and feedback (A&F) is among the most widely used implementation strategies, providing healthcare professionals with summaries of their practice performance to prompt behaviour change and optimize care. Wide variability in effectiveness of A&F has spurred efforts to explore why some A&F interventions are more effective than others. Unpacking the variability of the content of A&F interventions in terms of their component behaviours change techniques (BCTs) may help advance our understanding of how A&F works best. This study aimed to systematically specify BCTs in A&F interventions targeting healthcare professional practice change. METHODS We conducted a directed content analysis of intervention descriptions in 287 randomized trials included in an ongoing Cochrane systematic review update of A&F interventions (searched up to June 2020). Three trained researchers identified and categorized BCTs in all trial arms (treatment & control/comparator) using the 93-item BCT Taxonomy version 1. The original BCT definitions and examples in the taxonomy were adapted to include A&F-specific decision rules and examples. Two additional BCTs ('Education (unspecified)' and 'Feedback (unspecified)') were added, such that 95 BCTs were considered for coding. RESULTS In total, 47/95 BCTs (49%) were identified across 360 treatment arms at least once (median = 5.0, IQR = 2.3, range = 129 per arm). The most common BCTs were 'Feedback on behaviour' (present 89% of the time; e.g. feedback on drug prescribing), 'Instruction on how to perform the behaviour' (71%; e.g. issuing a clinical guideline), 'Social comparison' (52%; e.g. feedback on performance of peers), 'Credible source' (41%; e.g. endorsements from respected professional body), and 'Education (unspecified)' (31%; e.g. giving a lecture to staff). A total of 130/287 (45%) control/comparator arms contained at least one BCT (median = 2.0, IQR = 3.0, range = 0-15 per arm), of which the most common were identical to those identified in treatment arms. CONCLUSIONS A&F interventions to improve healthcare professional practice include a moderate range of BCTs, focusing predominantly on providing behavioural feedback, sharing guidelines, peer comparison data, education, and leveraging credible sources. We encourage the use of our A&F-specific list of BCTs to improve knowledge of what is being delivered in A&F interventions. Our study provides a basis for exploring which BCTs are associated with intervention effectiveness. TRIAL REGISTRATIONS N/A.
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Affiliation(s)
- Jacob Crawshaw
- Centre for Evidence-Based Implementation, Hamilton Health Sciences, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Carly Meyer
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK
| | - Vivi Antonopoulou
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
| | - Jesmin Antony
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Jeremy M Grimshaw
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Noah Ivers
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Kristin Konnyu
- Department of Health Services, Policy and Practice, Center for Evidence Synthesis in Health, Brown University School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Meagan Lacroix
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Justin Presseau
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Michelle Simeoni
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Sharlini Yogasingam
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Fabiana Lorencatto
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK.
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
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Liu R, Xue Q, Guan X, Li G, Zhang T, Wang D, Zhao L, Shen X. The effect of a tailored message package for reducing antibiotic use among respiratory tract infection patients in rural Anhui, China: a cluster randomized controlled trial protocol. Trials 2023; 24:637. [PMID: 37794507 PMCID: PMC10548556 DOI: 10.1186/s13063-023-07664-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Antibiotics are over-used for patients with respiratory tract infections (RTIs) in primary care, especially in the rural areas of China. METHODS A cluster randomized controlled trial (RCT) will be carried out to estimate the effectiveness of a tailored message package for educating patients to reduce antibiotic use for symptomatic respiratory tract infections (RTIs). In the intervention group, patients will receive 12 short messages in 12 consecutive days. The whole process of the message design, modification, translation (of substitution variables), and sending will be facilitated by a user-friendly mini-computer program. The primary measure for assessment is the reduction in number of days in which antibiotics are used by patients with symptomatic RTIs. The secondary measures include (1) patients' knowledge about and attitude toward antibiotics; (2) patients' quality of life (EQ-5D-5L) and symptom severity and duration; (3) times of re-visits to clinics and antibiotics re-prescription for the same RTI episode; and (4) times of re-occurrence of RTIs and related health service seeking and antibiotics consumption. DISCUSSION This study will determine the efficacy of a 12-message intervention to educate patients to reduce excessive antibiotic use in rural China. TRIAL REGISTRATION ISRCTN29801086 . Registered on 23 September 2022.
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Affiliation(s)
- Rong Liu
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
| | - Qun Xue
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
| | - Xiaoqin Guan
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
| | - Guocheng Li
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
| | - Tingting Zhang
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8 2PN UK
| | - Debin Wang
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
- Center for Appropriate Technology Research in Health Services and Management, Anhui Medical University, Hefei, Anhui China
| | - Linhai Zhao
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
| | - Xingrong Shen
- School of Health Services Management, Anhui Medical University, Hefei, Anhui China
- Center for Appropriate Technology Research in Health Services and Management, Anhui Medical University, Hefei, Anhui China
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Lambert H, Shen X, Chai J, Cheng J, Feng R, Chen M, Cabral C, Oliver I, Shen J, MacGowan A, Bowker K, Hickman M, Kadetz P, Zhao L, Pan Y, Kwiatkowska R, Hu X, Wang D. Prevalence, drivers and surveillance of antibiotic resistance and antibiotic use in rural China: Interdisciplinary study. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001232. [PMID: 37556412 PMCID: PMC10411760 DOI: 10.1371/journal.pgph.0001232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 05/22/2023] [Indexed: 08/11/2023]
Abstract
This study aimed to characterise antibiotic prescribing and dispensing patterns in rural health facilities in China and determine the community prevalence of antibiotic resistance. We investigated patterns and drivers of antibiotic use for common respiratory and urinary tract infections (RTI/UTI) in community settings, examined relationships between presenting symptoms, clinical diagnosis and microbiological results in rural outpatient clinics, and assessed potential for using patient records to monitor antibiotic use. This interdisciplinary mixed methods study included: (i) Observations and exit interviews in eight village clinics and township health centres and 15 retail pharmacies; (ii) Urine, throat swab and sputum samples from patients to identify potential pathogens and test susceptibility; (iii) 103 semi-structured interviews with doctors, patients, pharmacy workers and antibiotic-purchasing customers; (iv) Assessment of completeness and accuracy of electronic patient records through comparison with observational data. 87.9% of 1123 recruited clinic patients were prescribed antibiotics (of which 35.5% contained antibiotic combinations and >40% were for intravenous administration), most of whom had RTIs. Antibiotic prescribing for RTIs was not associated with presence of bacterial pathogens but was correlated with longer duration of infection (OR = 3.33) and presence of sore throat (OR = 1.64). Fever strongly predicted prescription of intravenous antibiotics (OR = 2.87). Resistance rates in bacterial pathogens isolated were low compared with national data. 25.8% of patients reported antibiotics use prior to their clinic visit, but only 56.2% of clinic patients and 53% of pharmacy customers could confirm their prescription or purchase included antibiotics. Diagnostic uncertainty, financial incentives, understanding of antibiotics as anti-inflammatory and limited doctor-patient communication were identified as key drivers of antibiotic use. Completion and accuracy of electronic patient records were highly variable. Prevalence of antibiotic resistance in this rural population is relatively low despite high levels of antibiotic prescribing and self-medication. More systematic use of e-records and in-service training could improve antibiotic surveillance and stewardship in rural facilities. Combining qualitative and observational anthropological methods and concepts with microbiological and epidemiological investigation of antibiotic resistance at both research design and analytic synthesis stages substantially increases the validity of research findings and their utility in informing future intervention development.
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Affiliation(s)
- H. Lambert
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - X. Shen
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Chai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Cheng
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - R. Feng
- Library Department of Literature Retrieval and Analysis, Anhui Medical University, Hefei, China
| | - M. Chen
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - C. Cabral
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - I. Oliver
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - J. Shen
- Fourth Affiliated Hospital of Anhui Medical University, Hefei, China
| | - A. MacGowan
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - K. Bowker
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - M. Hickman
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - P. Kadetz
- Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom
| | - L. Zhao
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Y. Pan
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - R. Kwiatkowska
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - X. Hu
- Anhui Provincial Hospital, Hefei, China
| | - D. Wang
- School of Health Services Management, Anhui Medical University, Hefei, China
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Shen L, Wang T, Yin J, Sun Q, Dyar OJ. Clinical Uncertainty Influences Antibiotic Prescribing for Upper Respiratory Tract Infections: A Qualitative Study of Township Hospital Physicians and Village Doctors in Rural Shandong Province, China. Antibiotics (Basel) 2023; 12:1027. [PMID: 37370346 DOI: 10.3390/antibiotics12061027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/21/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVE This study aimed to explore how clinical uncertainty influences antibiotic prescribing practices among township hospital physicians and village doctors in rural Shandong Province, China. METHODS Qualitative semi-structured interviews were conducted with 30 township hospital physicians and 6 village doctors from rural Shandong Province, China. A multi-stage random sampling method was used to identify respondents. Conceptual content analysis together with Colaizzi's method were used to generate qualitative codes and identify themes. RESULTS Three final thematic categories emerged during the data analysis: (1) Incidence and treatment of Upper Respiratory Tract Infections (URTIs) in township hospitals and village clinics; (2) Antibiotic prescribing practices based on the clinical experience of clinicians; (3) Influence of clinical uncertainty on antibiotic prescribing. Respondents from both township hospitals and village clinics reported that URTIs were the most common reason for antibiotic prescriptions at their facilities and that clinical uncertainty appears to be an important driver for the overuse of antibiotics for URTIs. Clinical uncertainty was primarily due to: (1) Diagnostic uncertainty (establishing a relevant diagnosis is hindered by limited diagnostic resources and capacities, as well as limited willingness of patients to pay for investigations), and (2) Insufficient prognostic evidence. As a consequence of the clinical uncertainty caused by both diagnostic and prognostic uncertainty, respondents stated that antibiotics are frequently prescribed for URTIs to prevent both prolonged courses or recurrence of the disease, as well as clinical worsening, hospital admission, or complications. CONCLUSION Our study suggests that clinical uncertainty is a key driver for the overuse and misuse of prescribing antibiotics for URTIs in both rural township hospitals and village clinics in Shandong province, China, and that interventions to reduce clinical uncertainty may help minimize the unnecessary use of antibiotics in these settings. Interventions that use clinical rules to identify patients at low risk of complications or hospitalization may be more feasible in the near-future than laboratory-based interventions aimed at reducing diagnostic uncertainty.
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Affiliation(s)
- Liyan Shen
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan 250012, China
| | - Ting Wang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan 250012, China
| | - Jia Yin
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan 250012, China
| | - Qiang Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan 250012, China
| | - Oliver James Dyar
- Department of Public Health and Caring Sciences, Uppsala University, 75122 Uppsala, Sweden
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Garzón-Orjuela N, Parveen S, Amin D, Vornhagen H, Blake C, Vellinga A. The Effectiveness of Interactive Dashboards to Optimise Antibiotic Prescribing in Primary Care: A Systematic Review. Antibiotics (Basel) 2023; 12:antibiotics12010136. [PMID: 36671337 PMCID: PMC9854857 DOI: 10.3390/antibiotics12010136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Governments and healthcare organisations collect data on antibiotic prescribing (AP) for surveillance. This data can support tools for visualisations and feedback to GPs using dashboards that may prompt a change in prescribing behaviour. The objective of this systematic review was to assess the effectiveness of interactive dashboards to optimise AP in primary care. Six electronic databases were searched for relevant studies up to August 2022. A narrative synthesis of findings was conducted to evaluate the intervention processes and results. Two independent reviewers assessed the relevance, risk of bias and quality of the evidence. A total of ten studies were included (eight RCTs and two non-RCTs). Overall, seven studies showed a slight reduction in AP. However, this reduction in AP when offering a dashboard may not in itself result in reductions but only when combined with educational components, public commitment or behavioural strategies. Only one study recorded dashboard engagement and showed a difference of 10% (95% CI 5% to 15%) between intervention and control. None of the studies reported on the development, pilot or implementation of dashboards or the involvement of stakeholders in design and testing. Interactive dashboards may reduce AP in primary care but most likely only when combined with other educational or behavioural intervention strategies.
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Affiliation(s)
- Nathaly Garzón-Orjuela
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
- Correspondence:
| | - Sana Parveen
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Doaa Amin
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Heike Vornhagen
- Insight Centre for Data Analytics, University of Galway, H91 AEX4 Galway, Ireland
| | - Catherine Blake
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Akke Vellinga
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
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Wang W, Yu S, Zhou X, Wang L, He X, Zhou H, Chang Y. Antibiotic prescribing patterns at children's outpatient departments of primary care institutions in Southwest China. BMC PRIMARY CARE 2022; 23:269. [PMID: 36289470 PMCID: PMC9607730 DOI: 10.1186/s12875-022-01875-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 10/05/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Inappropriate use of antibiotics in children is common in many countries. The purpose of the study was to explore patterns of antibiotic prescribing in children's outpatient clinics in primary care institutions in a province of southwest China. METHODS We obtained electronic prescription data from 75 primary care institutions in Guizhou province in 2020. The classification of incorrect spectrum of antibiotics, unnecessary use and combined use of antibiotics was based on the Guiding Principle of Clinical Use of Antibiotics (2015, China) and guidelines from the USA Centers for Disease Control and Prevention. Potential risk factors for inappropriate use of antibiotics were identified using bivariate analyses. The generalized estimation equation was used to identify independent predictors of inappropriate use of antibiotics. RESULTS A total of 158,267 antibiotic prescriptions were retrieved. Acute upper respiratory tract infections were the most common diseases, accounting for 74.9% of all prescriptions. The main antibiotic group used was penicillins (63.7%), followed by cephalosporins (18.8%). Of 137,284 visits, 18.3% of antibiotic prescriptions were appropriate and the percentage of unnecessary use, incorrect spectrum of antibiotics and combined use of antibiotics was 76.9, 2.4 and 2.4%, respectively. Physicians with lower professional titles and more than 40 years of work duration were relatively more likely to prescribe inappropriate antibiotics. CONCLUSION The inappropriate use of antibiotics in children is still prominent in primary care institutions of southwest China. The education and training of physicians and caregivers in these institutions should be strengthened.
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Affiliation(s)
- Wenju Wang
- grid.413458.f0000 0000 9330 9891School of Public Health, Guizhou Medical University, Guiyang, Guizhou Province China
| | - Shitao Yu
- Guiyang Public Health Clinical Center, Guiyang, Guizhou Province China
| | - Xunrong Zhou
- grid.443382.a0000 0004 1804 268XSecond Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province China
| | - Lei Wang
- Primary Health Department of Guizhou Provincial Health Commission, Guiyang, Guizhou Province China
| | - Xun He
- grid.413458.f0000 0000 9330 9891School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province China
| | - Hanni Zhou
- grid.413458.f0000 0000 9330 9891School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province China
| | - Yue Chang
- grid.413458.f0000 0000 9330 9891School of Medicine and Health Management, Guizhou Medical University, Guiyang, Guizhou Province China
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Xingrong S, Rui F, Jing C, Jing C, Oliver I, Lambert H, Wang D. Relationships Between Diagnosis, Bacterial Isolation, and Antibiotic Prescription in Out Patients With Respiratory Tract Infection Symptoms in Rural Anhui, China. Front Public Health 2022; 10:810348. [PMID: 35223737 PMCID: PMC8864097 DOI: 10.3389/fpubh.2022.810348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 01/03/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesThis paper aims to explore the direct associations of antibiotics prescription with clinical diagnosis and bacterial detection. It also analyses the relations of clinical diagnosis with symptoms and bacterial detection, with a hope of revealing indirect links to antibiotic prescription.MethodsThe study was implemented in one village clinic and one township health center in each of four rural residential areas in Anhui Province, China. Observations were conducted to record clinical diagnosis and antibiotic prescription. A semi-structured questionnaire survey was used to collected patients' sociodemographic information and reported symptoms. Sputum and throat swabs were collected for bacterial culture.ResultsAmong 1,068 patients presenting in the study settings who received a diagnosis of respiratory tract infection (RTI), 87.8% of prescriptions included an antibiotic and 35.8% included two or more antibiotics. Symptomatic RTI patients to the site clinics were diagnosed mainly as having upper respiratory tract infection (32.0%), bronchitis/tracheitis (23.4%), others (16.6%), pharyngitis (11.1%), common cold (8.0%), pneumonia/bronchopneumonia (4.6%) and tonsillitis (4.3%). These clinical diagnosis were associated with symptoms to a varied degree especially for upper respiratory tract infection and bronchitis/tracheitis. Prescription of any antibiotics was positively associated with diagnosis of bronchitis/tracheitis (OR: 5.00, 95% CI: 2.63–9.51), tonsillitis (OR: 4.63, 95% CI: 1.48–14.46), pneumonia/bronchopneumonia (OR: 4.28, 95% CI: 1.40–13.04), pharyngitis (OR: 3.22, 95% CI: 1.57–6.59) and upper respiratory tract infection (OR: 3.04, 95% CI: 1.75–5.27). Prescription of two or more antibiotics was statistically significant related to diagnosis of bronchitis/ tracheitis (OR: 2.20, 95% CI: 1.44–3.35) or tonsillitis (OR: 2.97, 95% CI: 1.47–6.00). About 30% of the patients were identified with some type of bacteria. Bacteria detection was linked with pharyngitis (OR: 0.50, 95% CI: 0.28–0.88) but not prescription of antibiotics.ConclusionsAntibiotics prescription were found with a strong relation to diagnosis of RTIs given by the clinician but was not associated with the presence of bacteria in patient samples. Part of the diagnosis may have been given by the clinician to justify their antibiotics prescription. There is clear need to use additional measures (e.g., symptoms) in conjunction with diagnosis to supervise or audit excessive antibiotics use.
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Affiliation(s)
- Shen Xingrong
- School of Health Service Management, Anhui Medical University, Hefei, China
| | - Feng Rui
- Department of Literature Review and Analysis, Library of Anhui Medical University, Hefei, China
| | - Chai Jing
- School of Health Service Management, Anhui Medical University, Hefei, China
| | - Cheng Jing
- School of Health Service Management, Anhui Medical University, Hefei, China
| | - Isabel Oliver
- National Infection Service, Public Health England, Bristol, United Kingdom
| | - Helen Lambert
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Debin Wang
- School of Health Service Management, Anhui Medical University, Hefei, China
- *Correspondence: Debin Wang
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Cong W, Chai J, Zhao L, Cabral C, Yardley L, Yao GL, Zhang T, Cheng J, Shen X, Liu R, Little P, Stuart B, Hu X, Sun YH, Oliver I, Zheng B, Lambert H, Wang D. Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol. BMJ Open 2022; 12:e048267. [PMID: 34980608 PMCID: PMC8724711 DOI: 10.1136/bmjopen-2020-048267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
INTRODUCTION Up to 80% of patients with respiratory tract infections (RTI) attending healthcare facilities in rural areas of China are prescribed antibiotics, many of which are unnecessary. Since 2009, China has implemented several policies to try to reduce inappropriate antibiotic use; however, antibiotic prescribing remains high in rural health facilities. METHODS AND ANALYSIS A cluster randomised controlled trial will be carried out to estimate the effectiveness and cost effectiveness of a complex intervention in reducing antibiotic prescribing at township health centres in Anhui Province, China. 40 Township health centres will be randomised at a 1:1 ratio to the intervention or usual care arms. In the intervention group, practitioners will receive an intervention comprising: (1) training to support appropriate antibiotic prescribing for RTI, (2) a computer-based treatment decision support system, (3) virtual peer support, (4) a leaflet for patients and (5) a letter of commitment to optimise antibiotic use to display in their clinic. The primary outcome is the percentage of antibiotics (intravenous and oral) prescribed for RTI patients. Secondary outcomes include patient symptom severity and duration, recovery status, satisfaction, antibiotic consumption. A full economic evaluation will be conducted within the trial period. Costs and savings for both clinics and patients will be considered and quality of life will be measured by EuroQoL (EQ-5D-5L). A qualitative process evaluation will explore practitioner and patient views and experiences of trial processes, intervention fidelity and acceptability, and barriers and facilitators to implementation. ETHICS AND DISSEMINATION Ethical approval was obtained from the Biomedical Research Ethics Committee of Anhui Medical University (Ref: 20180259); the study has undergone due diligence checks and is registered at the University of Bristol (Ref: 2020-3137). Research findings will be disseminated to stakeholders through conferences and peer-reviewed journals in China, the UK and internationally. TRIAL REGISTRATION NUMBER ISRCTN30652037.
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Affiliation(s)
- Wenjuan Cong
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Jing Chai
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - Linhai Zhao
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - Christie Cabral
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Lucy Yardley
- School of Psychological Sciences, University of Bristol, Bristol, UK
| | - Guiqing Lily Yao
- University of Leicester Department of Health Sciences, Leicester, UK
| | - Tingting Zhang
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Jing Cheng
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - XingRong Shen
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - Rong Liu
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - Paul Little
- Primary Care and Population Science, University of Southampton, Southampton, UK
| | - Beth Stuart
- Primary Care and Population Science, University of Southampton, Southampton, UK
| | - Xiaowen Hu
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
| | - Ye-Huan Sun
- Department of Epidemiology and Biostatistics, Anhui Medical University, Hefei, Anhui, China
| | - Isabel Oliver
- National Infection Service, Public Health England South Region, Bristol, UK
| | - Bo Zheng
- Institute of Clinical Pharmacology, Peking University First Hospital, Beijing, China
| | - Helen Lambert
- Population Health Sciences, University of Bristol, Bristol, UK
| | - DeBin Wang
- School of Health Services Management, Anhui Medical University, Hefei, Anhui, China
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10
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Tsang JY, Peek N, Buchan I, van der Veer SN, Brown B. OUP accepted manuscript. J Am Med Inform Assoc 2022; 29:1106-1119. [PMID: 35271724 PMCID: PMC9093027 DOI: 10.1093/jamia/ocac031] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/08/2021] [Accepted: 02/24/2022] [Indexed: 11/26/2022] Open
Abstract
Objectives (1) Systematically review the literature on computerized audit and feedback (e-A&F) systems in healthcare. (2) Compare features of current systems against e-A&F best practices. (3) Generate hypotheses on how e-A&F systems may impact patient care and outcomes. Methods We searched MEDLINE (Ovid), EMBASE (Ovid), and CINAHL (Ebsco) databases to December 31, 2020. Two reviewers independently performed selection, extraction, and quality appraisal (Mixed Methods Appraisal Tool). System features were compared with 18 best practices derived from Clinical Performance Feedback Intervention Theory. We then used realist concepts to generate hypotheses on mechanisms of e-A&F impact. Results are reported in accordance with the PRISMA statement. Results Our search yielded 4301 unique articles. We included 88 studies evaluating 65 e-A&F systems, spanning a diverse range of clinical areas, including medical, surgical, general practice, etc. Systems adopted a median of 8 best practices (interquartile range 6–10), with 32 systems providing near real-time feedback data and 20 systems incorporating action planning. High-confidence hypotheses suggested that favorable e-A&F systems prompted specific actions, particularly enabled by timely and role-specific feedback (including patient lists and individual performance data) and embedded action plans, in order to improve system usage, care quality, and patient outcomes. Conclusions e-A&F systems continue to be developed for many clinical applications. Yet, several systems still lack basic features recommended by best practice, such as timely feedback and action planning. Systems should focus on actionability, by providing real-time data for feedback that is specific to user roles, with embedded action plans. Protocol Registration PROSPERO CRD42016048695.
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Affiliation(s)
- Jung Yin Tsang
- Corresponding Author: Jung Yin Tsang, Centre for Primary Care and Health Services Research, University of Manchester, 6th Floor Williamson Building, Oxford Road, Manchester M13 9PL, UK;
| | - Niels Peek
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre (GMPSTRC), University of Manchester, Manchester, UK
- NIHR Applied Research Collaboration Greater Manchester, University of Manchester, Manchester, UK
| | - Iain Buchan
- Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Benjamin Brown
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Centre for Primary Care and Health Services Research, University of Manchester, Manchester, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre (GMPSTRC), University of Manchester, Manchester, UK
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11
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Lin L, Sun R, Yao T, Zhou X, Harbarth S. Factors influencing inappropriate use of antibiotics in outpatient and community settings in China: a mixed-methods systematic review. BMJ Glob Health 2021; 5:bmjgh-2020-003599. [PMID: 33184066 PMCID: PMC7662435 DOI: 10.1136/bmjgh-2020-003599] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/02/2020] [Accepted: 09/08/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND For decades, antibiotics have been excessively consumed around the world, contributing to increased antimicrobial resistance (AMR) and negatively impacting health outcomes and expenditures. Antibiotic use in China accounts for half of worldwide antibiotic consumption, which mainly takes place in outpatient and community settings, and often unnecessarily for self-limiting community-acquired infections. This study aimed to identify and assess factors of inappropriate use of antibiotics in the Chinese context to inform the development of interventions to mitigate inappropriate consumption in the absence of clinical indications. METHODS We conducted a mixed-methods systematic review and included empirical studies with original data conducted in mainland China, Hong Kong and Taiwan that investigated factors of antibiotic use in the community including outpatient care among patients, caregivers and prescribers. We searched MEDLINE, EMBASE, the Cochrane Library, PsycINFO, Google Scholar and one Chinese database CNKI (China Knowledge Resource Integrated Database), using a combination of the key terms 'antibiotic', 'antimicrobial', 'use', 'consumption', 'behaviour', 'prescribe' and related syntax for all peer-reviewed publications published before June 2020. Health Belief Model was employed for data synthesis. FINDINGS Fifty-four studies were included in the full-text review: 44 quantitative, 5 qualitative and 5 mixed-methods studies. Despite a high AMR awareness, public perception/misconception of antibiotic efficacy and easy access to antibiotics for self-limiting conditions drive inappropriate demand and use in the community including primary care setting. Providers' prescribing behaviours are influenced by financial incentives, lack of diagnostic capacity and concerns over complications. CONCLUSIONS Inappropriate outpatient and community antibiotic use is influenced by non-biomedical factors at the individual, community, health system and societal levels in mainland China, contributing to a high antibiotic use rate. This study calls for context-tailored One Health interventions, restrictive antibiotic drug policy and multifaceted antibiotic stewardship programmes that simultaneously address drivers of inappropriate use from both the supply-side and demand-side within and beyond clinical settings. PROSPERO REGISTRATION NUMBER CRD42019139591.
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Affiliation(s)
- Leesa Lin
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Ruyu Sun
- Institute of Social Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Tingting Yao
- Institute of Social Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xudong Zhou
- Institute of Social Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Stephan Harbarth
- Infection Control Programme, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland.,Infectious Diseases Division, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland
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12
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Shen X, Shen J, Pan Y, Cheng J, Chai J, Bowker K, MacGowan A, Oliver I, Lambert H, Wang D. Clinical diagnosis and treatment of common respiratory tract infections in relation to microbiological profiles in rural health facilities in China: implications for antibiotic stewardship. BMC FAMILY PRACTICE 2021; 22:87. [PMID: 33957884 PMCID: PMC8103749 DOI: 10.1186/s12875-021-01448-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 04/29/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND This paper tries to describe prevalence and patterns of antibiotics prescription and bacteria detection and sensitivity to antibiotics in rural China and implications for future antibiotic stewardship. METHODS The study was implemented in one village clinic and one township health center in each of four rural residential areas in Anhui Province, China. It used mixed-methods comprising non-participative observations, exit-survey and microbiological study. Observations were conducted to record clinical diagnosis and antibiotic prescription. Semi-structured questionnaire survey was used to collect patient's sociodemographic information and symptoms. Sputum and throat swabs were collected for bacterial culture and susceptibility testing. RESULTS A total of 1068 (51.0% male vs 49.0% female) patients completed the study with diagnosis of respiratory tract infection (326,30.5%), bronchitis/tracheitis (249,23.3%), pharyngitis (119,11.1%) and others (374, 35.0%). They provided 683 sputum and 385 throat swab specimens. Antibiotics were prescribed for 88% of the RTI patients. Of all the specimens tested, 329 (31%) were isolated with bacteria. The most frequently detected bacteria were K. pneumonia (24% in all specimens), H. influenza (16%), H. parainfluenzae (15%), P. aeruginosa (6%), S.aureus (5%), M. catarrhalis (3%) and S. pneumoniae (2%). CONCLUSIONS The study establishes the feasibility of conducting microbiological testing outside Tier 2 and 3 hospitals in rural China. It reveals that prescription of antibiotics, especially broad-spectrum and combined antibiotics, is still very common and there is a clear need for stewardship programs aimed at both reducing the number of prescriptions and promoting single and narrow-spectrum antibiotics.
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Affiliation(s)
- Xingrong Shen
- School, of Public Health, Anhui Medical University, Hefei, Anhui China
- School of Health Service Management, Anhui Medical University, Hefei, Anhui China
| | - Jilu Shen
- Department of Clinical Laboratory, the Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui China
| | - Yaping Pan
- Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui China
| | - Jing Cheng
- School of Health Service Management, Anhui Medical University, Hefei, Anhui China
| | - Jing Chai
- School of Health Service Management, Anhui Medical University, Hefei, Anhui China
| | - Karen Bowker
- Infection Sciences, Severn Pathology, North Bristol NHS Trust, Pathology Building, Southmead Hospital, Westbury-On-Trym, Bristol, BS10 5NB UK
| | - Alasdair MacGowan
- Infection Sciences, Severn Pathology, North Bristol NHS Trust, Pathology Building, Southmead Hospital, Westbury-On-Trym, Bristol, BS10 5NB UK
| | - Isabel Oliver
- Field Service, National Infection Service, Public Health England, 3rd floor, 2 Rivergate, Bristol, BS1 6EH UK
| | - Helen Lambert
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Debing Wang
- School, of Public Health, Anhui Medical University, Hefei, Anhui China
- School of Health Service Management, Anhui Medical University, Hefei, Anhui China
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13
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Nabovati E, Jeddi FR, Farrahi R, Anvari S. Information technology interventions to improve antibiotic prescribing for patients with acute respiratory infection: a systematic review. Clin Microbiol Infect 2021; 27:838-845. [PMID: 33813115 DOI: 10.1016/j.cmi.2021.03.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 01/19/2021] [Accepted: 03/14/2021] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Information technology (IT) interventions provide physicians with easy and quick access to information at the point of care and can play a major role in clinical decision-making for antibiotic prescribing. This study aimed to examine the effects and characteristics of IT interventions on improving antibiotic prescribing for patients with acute respiratory infection (ARI). METHODS A comprehensive search was performed in Medline (through PubMed), ISI web of science, Embase, and Cochrane databases from inception to 31 August 2020. Randomized controlled trial (RCT) and cluster RCT (CRCT) studies examining the effectiveness of IT interventions in improving antibiotic prescribing for patients with ARI were included. Participants were patients with ARI. IT interventions were used for improving antibiotic prescribing. Two researchers independently extracted data from studies on methods, characteristics of interventions, and results. The characteristics of interventions were extracted based on three dimensions of IT design, data entry source, and implementation characteristics. RESULTS Eighteen studies (15 CRCTs and three RCTs) were included. Most of included studies (n = 11) were conducted in the United States. In 12 studies (66.7%), IT interventions improved the level of antibiotic prescribing, and in eight of the 12 studies the effect was statistically significant. In two studies the intervention had a statistically significant negative effect, and in two studies the level of antibiotic prescribing was not changed. Seventeen studies (94.4%) used clinical decision support systems (CDSSs) for the intervention. In 12 studies (66.7%) CDSSs were integrated with electronic health records (EHRs). CONCLUSIONS Information technology interventions have the potential to improve prescription of antibiotics for patients with acute respiratory infection and to change physicians' behaviours in this regard. Factors affecting the acceptance of IT-based interventions to improve prescription of antibiotics should be investigated in future studies.
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Affiliation(s)
- Ehsan Nabovati
- Health Information Management Research Centre, Department of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran.
| | - Fatemeh Rangraz Jeddi
- Health Information Management Research Centre, Department of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran
| | - Razieh Farrahi
- Student Research Committee, Department of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran.
| | - Shima Anvari
- Student Research Committee, Department of Health Information Management & Technology, Kashan University of Medical Sciences, Kashan, Iran
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14
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Nabovati E, TaherZadeh Z, Eslami S, Abu-Hanna A, Abbasi R. Antibiotic prescribing in inpatient and outpatient settings in Iran: a systematic review and meta-analysis study. Antimicrob Resist Infect Control 2021; 10:15. [PMID: 33446279 PMCID: PMC7809737 DOI: 10.1186/s13756-021-00887-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 01/05/2021] [Indexed: 12/20/2022] Open
Abstract
Background Antibiotic prescribing is common worldwide. There are several original studies about antibiotic prescribing in the healthcare setting of Iran reporting different levels of prescribing. The aim of this systematic review and meta-analysis was to determine the prevalence of antibiotic prescribing in both inpatient and outpatient settings in Iran, an example of a developing country. Methods To identify published studies on antibiotic prescribing, databases such as ISI, Scopus, PubMed, Google Scholar, and Electronic Persian were searched in Iran till January 2020. Eligible studies were those analyzing original data on the prescription and use of antibiotics in outpatient or inpatient settings in Iran. Moreover, all studies that used an intervention to improve antibiotic prescribing were included. The quality of the included studies was assessed using self-administered quality assessment criteria. The meta-analysis of prevalence of antibiotic prescribing was conducted based on the meta-analysis of observational studies in epidemiology guidelines. To calculate pooled rates, the random-effects model was used. Results A total of 54 studies (39 outpatients and 15 inpatients) were included in this study. The median of antibiotic prescribing in the outpatient and inpatient settings accounted for 45.25% and 68.2% of patients, respectively. The results of meta-analysis also showed that the antibiotic prescribing accounted for 45% of prescriptions in outpatient settings and 39.5%, 66%, and 75.3% of patients in all wards, pediatrics wards, and ICU wards of inpatient settings, respectively. The most commonly prescribed antibiotic classes in outpatient settings were penicillins, cephalosporins, and macrolides, while in inpatient settings, these were cephalosporins, penicillins, and carbapenems. There were seven studies using interventions to improve antibiotic prescribing pattern. It should be mentioned that intervention in a study had a statistically significant effect on improving antibiotic prescribing (p < .05). Conclusion Prevalence of antibiotic prescribing in Iran is high. Our findings highlight the need for urgent action to improve prescription practices. It seems that developing a national plan to improve antibiotic prescribing is necessary.
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Affiliation(s)
- Ehsan Nabovati
- Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.,Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran
| | - Zhila TaherZadeh
- Targeted Drug Delivery Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Saeid Eslami
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Pharmaceutical Research Center, Pharmaceutical Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ameen Abu-Hanna
- Department of Medical Informatics, Amsterdam UMC - Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Reza Abbasi
- Health Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran. .,Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran.
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Dyar OJ, Yang D, Yin J, Sun Q, Stålsby Lundborg C. Variations in antibiotic prescribing among village doctors in a rural region of Shandong province, China: a cross-sectional analysis of prescriptions. BMJ Open 2020; 10:e036703. [PMID: 32487580 PMCID: PMC7265041 DOI: 10.1136/bmjopen-2019-036703] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To assess variation in antibiotic prescribing practices among village doctors in a rural region of Shandong province, China. DESIGN, SETTING AND PARTICIPANTS Almost all outpatient encounters at village clinics result in a prescription being issued. Prescriptions were collected over a 2.5-year period from 8 primary care village clinics staffed by 24 doctors located around a town in rural Shandong province. A target of 60 prescriptions per clinic per month was sampled from an average total of around 300. Prescriptions were analysed at both aggregate and individual-prescriber levels, with a focus on diagnoses of likely viral acute upper respiratory tract infections (AURIs), defined as International Classification of Diseases, 10th Revision codes J00 and J06.9. MAIN OUTCOME MEASURES Proportions of prescriptions for AURIs containing (1) at least one antibiotic, (2) multiple antibiotics, (3) at least one parenteral antibiotic; classes and agents of antibiotics prescribed. RESULTS In total, 14 471 prescriptions from 23 prescribers were ultimately included, of which 5833 (40.3%) contained at least 1 antibiotic. Nearly two-thirds 62.5% (3237/5177) of likely viral AURI prescriptions contained an antibiotic, accounting for 55.5% (3237/5833) of all antibiotic-containing prescriptions. For AURIs, there was wide variation at the individual level in antibiotic prescribing rates (33.1%-88.0%), as well multiple antibiotic prescribing rates (1.3%-60.2%) and parenteral antibiotic prescribing rates (3.2%-62.1%). Each village doctor prescribed between 11 and 21 unique agents for AURIs, including many broad-spectrum antibiotics. Doctors in the highest quartile for antibiotic prescribing rates for AURI also had higher antibiotic prescribing rates than doctors in the lowest quartile for potentially bacterial upper respiratory tract infections (pharyngitis, tonsillitis, laryngopharyngitis; 89.1% vs 72.4%, p=0.002). CONCLUSIONS All village doctors overused antibiotics for respiratory tract infections. Variations in individual prescriber practices are significant even in a small homogenous setting and should be accounted for when developing targets and interventions to improve antibiotic use.
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Affiliation(s)
- Oliver James Dyar
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Ding Yang
- School of Health Care Management, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
| | - Jia Yin
- School of Health Care Management, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
| | - Qiang Sun
- School of Health Care Management, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- NHC Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan, Shandong, China
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