| Literature DB >> 33184066 |
Leesa Lin1, Ruyu Sun2, Tingting Yao2, Xudong Zhou2, Stephan Harbarth3,4.
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.Entities:
Keywords: health policy; health systems; public health; respiratory infections; systematic review
Mesh:
Substances:
Year: 2020 PMID: 33184066 PMCID: PMC7662435 DOI: 10.1136/bmjgh-2020-003599
Source DB: PubMed Journal: BMJ Glob Health ISSN: 2059-7908
Figure 1Flowchart of study identification and selection.
Summary of characteristics of included studies that investigated non-biomedical factors influencing outpatient and community antibiotic use in China
| Characteristic | Number of studies | Studies |
| Total | ||
| Language | ||
| Chinese | 11 | |
| English | 43 | |
| Year of study | ||
| 2001–2005 | 2 | |
| 2006–2010 | 3 | |
| 2011–2015 | 19 | |
| 2016–later | 30 | |
| Study design | ||
| Quantitative study | 44 | |
| Longitudinal | 1 | |
| Cross-sectional | 38 | |
| Experiment | 6 | |
| Qualitative study | 5 | |
| Mixed-methods | 5 | |
| Experiment | 1 | |
| Study region | ||
| East | 14 | |
| Central | 7 | |
| West | 6 | |
| Across regions | 17 | |
| 9 | ||
| 1 | ||
| Urbanicity | ||
| Urban | 10 | |
| Rural | 7 | |
| Both | 33 | |
| Unknown | 4 | |
| Participants | ||
| General public | 29 | |
| Parents or caregivers | 8 | |
| Healthcare professionals and/or community pharmacies | 13 | |
| 4 | ||
| Antibiotic misuse in the community | ||
| Self-medication with antibiotics | 34 | |
| Taking antibiotics as prophylaxis | 12 | |
| Over-the-counter purchases/sales | 22 | |
| Patient side reported | 19 | |
| Experiment | 4 | |
| Household storage of antibiotics | 23 | |
| Demand for antibiotic prescriptions | 23 |
Non-biomedical factors influencing outpatient and community antibiotic use for common community-acquired infections
| Non-biomedical factors | Application/examples | Inappropriate antibiotic use | |
| Antibiotic use behaviour outcomes | References | ||
| General knowledge about antibiotics/AMR | Combined knowledge score | Asking/pressuring doctors for antibiotics | |
| Literacy | Being able to recognise antibiotics | No evidence available to date | – |
| Knowledge about the infection | The participant’s knowledge about the specific infection (eg, URTI symptoms will dissipate naturally) | No evidence available to date | – |
| AMR awareness | The participant’s awareness of AMR as a health threat on individual or on the society as a whole | No evidence available to date | – |
| Attitudes towards antibiotic misuse behaviours | The participant’s accepting attitudes towards storing/self-medicating with antibiotics | Self-medication with antibiotics | |
| Self-efficacy | The participant’s perception of his/her or others’ competence in engaging in caring for the infection or in antibiotic use | No evidence available to date | – |
| Medical background | The participants or their family members having some level of medical education | Asking/pressuring doctors for antibiotics | |
| Prior experience | Participants use of antibiotics on previous occasions | Over-the-counter purchase | |
| Perceived susceptibility | Self-rated health status | Self-medication with antibiotics | |
| Perceived severity | The participant’s assessment/perception of the severity of the situation regarding the infection (eg, self-diagnosed symptoms experienced) | Over-the-counter purchase | |
| Perceived benefits and disbenefits | The participant’s mistaken understanding of antibiotics (eg, considering antibiotics as Xiaoyanyao, anti-inflammatory drugs) (misconceptions) | Asking/pressuring doctors for antibiotics | |
| Perceived barriers | The participant’s assessment/perception of barriers to engaging in antibiotic use (health insurance and knowledge of current policy) | Self-medication with antibiotics | |
| Family dynamics | Family members who might influence the healthcare decisions of caregiver or the patients | Self-medication with antibiotics | |
| Doctor–patient relationships | Having a regular doctor | Asking/pressuring doctors for antibiotics | |
| Access to antibiotics, with or without prescription | |||
| Access to non-prescription antibiotics | Over-the-counter purchase | Self-medication with antibiotics | |
| Access to antibiotic prescriptions | Asking/pressuring doctors for antibiotics | The likelihood to be prescribed with antibiotics by doctors | |
| External trigger mechanisms to prompt engagement in antibiotic use behaviour | |||
| Symptoms | Presence of fever | No evidence available to date | – |
| Information sources and seeking for therapeutic purposes decisions | Expectation for antibiotic use knowledge | Combined behaviour score | |
| Age | The age of the participant or caregiver | Asking/pressuring doctors for antibiotics | |
| Gender | The gender of the participant or caregiver | Self-medication with antibiotics | |
| Education | The education level of the participant, his/her parent or the caregiver | Asking/pressuring doctors for antibiotics | |
| Income | The household income or monthly allowance of the participant or caregiver | Self-medication with antibiotics | |
| Location | The rural/urban of residence of the participant or caregiver | Asking/pressuring doctors for antibiotics | |
| Region | Region of residence of the participant or caregiver—geographic area or economic development stage | Asking/pressuring doctors for antibiotics | |
| Policy | Health policy or AMR programme that might affect prescribing or access to antibiotics (eg, measures to de-incentivise over-prescription in public health facilities, including decoupling the link between facility income and the sale of medicines and policy that bans over-the-counter purchases) | Self-medication with antibiotics | |
| Norm | Participants’ view of how others treat illnesses and/or use antibiotics (non-China and non-predictor)* | The likelihood to be prescribed with antibiotics by doctors* | |
| Point-of-care | Prescribing habits/capacity might vary at different levels of health facilities: tertiary hospital, secondary/county hospital, community health centres/township hospital or private clinics/village clinics | No evidence available to date | – |
*Non-predictor: effect is implied.
AMR, antimicrobial resistance; URTI, upper respiratory tract infections.
Figure 2Synthesis of quantitative data on public antibiotic misuse behaviours in the community by study region.
Figure 3Modified health belief model for public antibiotic use.