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Antibiotic Stewardship in the Elderly: A Cross-Sectional Analysis of Literacy and Practices in Vietnam

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27 August 2026

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27 August 2026

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Abstract
Background/Objectives: Antimicrobial resistance (AMR) poses a disproportionate mortality risk to older adults, yet this demographic is often overlooked in stewardship interventions compared to the general population or other at-risk/vulnerable groups. While awareness campaigns exist, it remains unclear how knowledge gaps influence antibiotic usage behaviors among the elderly in lower middle-income settings like Vietnam. This study evaluates antibiotic literacy and usage patterns among older adults (aged ≥ 60 years) in Hanoi, identifies sociodemographic predictors of these domains, and determines whether knowledge deficits predict inappropriate practices. Methods: A descriptive cross-sectional study was conducted on 177 retired individuals aged 60-86 years (44% male, 56% female) in Gia Lam Commune, Hanoi, via face-to-face interviews. A structured questionnaire, adapted from World Health Organization and validated regional studies, assessed demographics, knowledge, AMR awareness, and practices. Multivariable linear regression identified independent predictors of these outcome scores. Results: Usage prevalence was high; 60% of participants reported taking antibiotics in the past year. Although 91% acknowledged the personal threat of "antibiotic resistance", profound functional misconceptions persisted: 58% failed to distinguish antibiotics from analgesics (paracetamol), and 67% incorrectly believed antibiotics are effective for treating fever. Of concern, 95.5% mistakenly thought that the human body develops resistance to the medication, and 55% perceived AMR as a foreign issue irrelevant to Vietnam. Regression analysis revealed that advanced age (≥ 78 years) was a strong negative predictor of knowledge (β = -2.0; p < 0.001), while higher knowledge scores were significantly associated with better adherence to safe practices (β = 0.15; p = 0.045). Conclusions: Older adults in Vietnam demonstrate high superficial awareness of AMR but harbor critical misconceptions, particularly conflating antibiotics with analgesics and falsely believing the human body develops resistance. Furthermore, advanced age emerged as a significant vulnerability factor for low health literacy. Since greater knowledge directly predicts safer usage practices, interventions must move beyond general warnings to correct specific mechanistic misunderstandings, thereby mitigating self-medication and resistance in this highly vulnerable population.
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1. Introduction

Antimicrobial resistance (AMR) is recognized as one of the most critical public health challenges of the 21st century, often described as a "silent pandemic" that threatens to undermine modern medicine [1]. The urgency of this crisis is underscored by recent forecasts from Global Research on Antimicrobial Resistance (GRAM), which predict 1.28 million attributable deaths from antibiotic-resistant infections by 2030, followed by a 69.6% increase in mortality by 2050 [2]. In Vietnam, from 2020 to 2023, a reported 269,681 deaths were linked to infection with pathogenic bacteria showing antibiotic resistance [3]. While this timeframe overlaps with the COVID-19 pandemic (a period that globally exacerbated the AMR burden due to secondary hospital-acquired infections and surges in prophylactic antibiotic use), these figures reflect the acceleration of an already alarming pre-pandemic upward trajectory in Southeast Asia and the Western Pacific. This trend underscores a chronic systemic vulnerability rather than a mere pandemic anomaly [2,4].
The rapid escalation of resistance is driven largely by irrational antibiotic consumption by the general public, which is compounded by their unrestricted access to medication. Recent studies indicate that 35.8% of Vietnamese individuals self-medicate, with a notably high 71.7% of these antibiotics purchased directly from community pharmacies without a prescription [5]. Both the misuse of antibiotics, such as selecting inappropriate classes or unnecessarily relying on broad-spectrum agents, and their continuous overuse through habitual or prophylactic consumption create a strong selective pressure for bacterial evolution, collectively accelerating the spread of AMR [6].
This inappropriate use is of particular concern for the elderly population. Due to immunodeficiency and a higher prevalence of comorbidities, older adults require more frequent antibiotic treatments, making them highly vulnerable to severe infections caused by resistant bacteria. Consequently, the global mortality burden is shifting dramatically toward this demographic: AMR-related deaths among adults aged 70 years and older increased by 80% from 1990 to 2021 and are projected to rise by another 146% by 2050 [2].
The central hypothesis of this study is that improving antibiotic literacy is a prerequisite for effective antimicrobial stewardship (AMS) at the community level, thereby reducing the burden of AMR. Systematic reviews of public awareness campaigns worldwide support this premise, demonstrating that increasing literacy leads to measurable reductions in consumption [7,8]. For instance, the French nationwide campaign "Antibiotics are not automatic" (2002-2007) resulted in a 26.5% reduction in antibiotic prescriptions over six years, demonstrating that shifting public perception from "automatic" to "conditional" translates to reduced usage [8].
While the link between low health literacy and poor health outcomes is theoretically established, there is a paucity of data specifically examining the correlation between antibiotic knowledge and actual usage practices among the elderly in Vietnam. Most studies in Vietnam have focused on general populations or healthcare students, leaving a critical gap in understanding the knowledge, awareness, and practices (KAP) profile of the senior demographic [5,9,10].
In order to address this critical gap, this study aims to: (1) evaluate the level of antibiotic literacy and usage patterns among older adults in Hanoi; (2) identify sociodemographic factors associated with these KAP domains; and (3) subsequently determine the correlation between these knowledge factors and actual usage practices. By determining the extent to which sociodemographic vulnerabilities and knowledge gaps predict high-risk behaviors, this study provides the necessary empirical evidence to design targeted educational interventions. Strengthening antibiotic literacy is a vital and cost-effective behavioral change strategy to reduce inappropriate use and thereby mitigate the escalating mortality trends associated with AMR among this vulnerable population [11].

2. Results

2.1. Study Population Characteristics

Of the 177 elderly participants, 99 were female (56%) and 78 were male (44%). Nearly three-quarters (n = 128; 72%) had a high school education or lower. Over three-quarters of participants resided in urban areas (n = 140; 79%). Around 60% (n = 106) reported taking antibiotics within the previous 12 months; only 5.1% (n = 9) stated that they had never taken antibiotics. Among 168 participants with a history of antibiotic use, 68% (n = 115) obtained a prescription from a medical practitioner before their most recent purchase. Most of them purchased antibiotics at either a hospital or a pharmacy. Very few participants purchased antibiotics via the Internet or from family and friends, or self-medicated using leftover antibiotics from previous treatments. Nearly 20% (n = 31) reported never having received advice or instructions from healthcare providers on how to take their antibiotics appropriately (Table 1).

2.2. Knowledge of Antibiotics and AMR Awareness

Participants demonstrated a high baseline understanding of the basic definition of antibiotics, with 82% (n = 145) correctly identifying them as anti-bacterial medication. However, substantial knowledge gaps were observed regarding clinical indications and mechanisms of antibiotics, particularly the misconceptions that antibiotics can be used for viral infections, fever, or body aches. Regarding AMR, while 90% (n = 139) acknowledged the general threat of resistance, 95.5% held the misconception that it is the human body, rather than bacteria, which becomes resistant to antibiotics. Nearly 45% (n = 66) were aware that resistant pathogens are transmissible between individuals (Table 2).
The knowledge of antibiotics and AMR (percentage of correct answers and mean score) was generally higher in women, people with higher education, urban residents, and skilled workers (Supplementary Table S1 and Table S2). In the multivariable regression analysis, older ages, rural/suburban residence, and lower education were associated with lower knowledge scores (Table 3).

1.3. Practices Related to Antibiotic Use

Adherence to recommended antibiotic practices was variable (Figure 1). While 73% (n = 123) reported completing the full course of antibiotics, practice gaps existed in around half of the population: antibiotic purchase without a prescription (45%), using antibiotics for viral symptoms (49%), antibiotic discontinuation before completing the full course (55%), and using a dose of antibiotics lower than recommended (72%).
Other high-risk behaviors, including sharing leftover antibiotics, intentional overdosing, and stockpiling, were less common (< 10%) (Table 4). In general, practices related to antibiotic use were similar between men and women, high and low education levels, urban and rural/suburban areas, and occupation groups (Supplementary Table S3 and Table S4). In the multivariable regression analysis, only better knowledge was associated with a higher practice score (Table 5).

3. Discussion

This study evaluated the knowledge, awareness, and practices regarding antibiotics and AMR among older adults in Gia Lam Commune, Hanoi. Overall, we identified a high prevalence of recent antibiotic use (~ 60%) and unprescribed self-medication (45%). Regarding knowledge, participants demonstrated functional knowledge gaps, such as confusing antibiotics with painkillers and being unable to distinguish viral from bacterial etiologies of infection. Furthermore, our regression models highlighted that while knowledge significantly predicts better practices, advanced age (≥ 78 years) is a strong negative predictor for both knowledge and AMR awareness, identifying the "most elderly" as a highly vulnerable demographic.
The prevalence of antibiotics use among our Vietnamese elderly population (60%) was much higher than that reported for the European Union average (~23%), Malaysia (42.8%), China (35.1%), and Thailand (7.77%) [12,13,14,15]. The direct consequence of this widespread, unmonitored self-medication is a severely elevated risk of community-acquired AMR [2,4]. Within the European Union, the relatively low average is maintained through strict, block-wide enforcement of prescription-only dispensing laws, coupled with frequent public education initiatives such as the European Antibiotic Awareness Day [16]. The low usage in Thailand is partly attributed to the Antimicrobial Smart Use program that started in 2007, which enables pharmacists to refuse inappropriate dispensing requests [4]. To address the AMR threat, the Vietnamese Government Ministry of Health promotes a regularly updated National Action Plan [17], whereby the sale of antibiotics without a prescription by community pharmacies is officially illegal. However, enforcement of this legislation remains extremely weak. Infrequent checks and negligible fines fail to provide sufficient disincentives to halt over-the-counter sales [18]. Consequently, direct purchase from a local pharmacy in Vietnam represents a convenient, rational response for older adults facing physical mobility constraints and the financial/time costs of hospital visits [19]. To mitigate this problem, future interventions must extend beyond public awareness campaigns. There is an urgent need to improve the existing National Action Plan by enforcing strict adherence to prescription-only regulations among community pharmacists, potentially through heavier penalties for violations or incentive-based compliance programs. This approach directly aligns with the WHO global research priorities in AMR that emphasize the urgent need for scalable dispensing practices and regulatory frameworks to improve AMS in low-and middle-income countries [11].
Only 30% of participants in this study recognized that antibiotics are not suitable to treat viruses, while 58% explicitly confused them with painkillers (e.g., paracetamol). Consequently, "fever" is automatically associated with a generic "infection", driving the inappropriate demand for antibiotics to treat self-limiting viral illnesses (colds/flu) and leading to early discontinuation (45%) once pain or fever subsides. This aligns with national data (67.9% misbelieve antibiotics effectively treat viruses) [9], and regional findings from Malaysia (48.5% confuse them with painkillers) [13] and Sri Lanka (~ 51%) [20]. This misunderstanding is rooted in Vietnamese linguistic ambiguity, where 'viêm' (inflammation) is used interchangeably with 'nhiễm trùng' (infection) [18]. Patients often view antibiotics as "stronger" painkillers. When self-limiting viral conditions resolve naturally, patients incorrectly attribute their recovery to the antibiotic rather than to their immune response, thus reinforcing a false belief system [21]. Therefore, educational campaigns must pivot from abstract AMR messaging to highly specific corrections, explicitly stating that antibiotics do not relieve pain or cure viral infections.
Regarding AMR awareness, our findings reveal a profound mechanistic misconception: a notable 95.5% of older adults incorrectly believed that antibiotic resistance occurs when the human body becomes resistant to the medication, with only 4.5% answering this question correctly. When a person believes that their body develops resistance, they falsely assume that their personal history of low antibiotic use grants them immunity from AMR, ignoring the reality that they can acquire drug-resistant bacteria from the community. Notably, while this "body vs. bacteria" confusion is a globally recognized challenge, with the foundational WHO multi-country survey reporting that 76% of the general public holds this exact fallacy [22], the prevalence in our elderly cohort (95.5%) is alarmingly higher than both the worldwide average and other regional estimates in Southeast Asia, which typically range from 60% to 80% [13,14,23]. The exceptionally high rate in our cohort likely stems from the abstract nature of microbiology and colloquial Vietnamese language, whereby older patients intuitively focus on their own physical response (e.g., "my body is used to the drug") rather than on pathogens invisible to the naked eye. This individualized misconception is further compounded by a dangerous psychological distance: 55% of participants in this study stated their erroneous belief that AMR does not affect Vietnam, while less than 45% recognized that resistant bacteria are transmissible [24]. Consequently, future public health messaging by the Vietnamese Government Ministry of Health and other agencies must pivot from generic warnings to highly specific biological education. Campaigns must explicitly clarify that bacteria evolve over time to potentially become resistant and can be transmitted to anyone, localizing the threat by emphasizing that AMR is an immediate danger to a person’s family and community.
Our multivariable analysis revealed that while greater knowledge significantly predicts better practices (manifested as a 0.15-point increase in practice score per knowledge point), the older demographic cohort exhibited significantly lower knowledge scores. The implication is that the most physically vulnerable group within the overall population is the least equipped to make safe medical decisions. This trend is corroborated by national research showing that "high-level" knowledge is lowest in the 50+ age group [10]. Importantly, this deficit likely reflects lower historical educational attainment and a lifelong reliance on "experience-based" medicine among the older generation, rather than age-related cognitive decline. Interestingly, this contrasts with Malaysia, where older age correlates with better AMS adherence due to frequent healthcare contact [25]. This discrepancy with another ASEAN member country suggests that clinical experiences are not effectively educating Vietnamese elderly patients. Furthermore, we observed a paradox in which some highly literate individuals are still self-medicating due to overconfidence in their "accumulated expertise" in medical matters [10,26].

4. Materials and Methods

4.1. Study Design and Population

A cross-sectional study was conducted on elderly retired people from September 2024 to September 2025 in Gia Lam Commune, Hanoi, Vietnam. We recruited people who were (1) aged 60 years or older, (2) retired from the formal workforce, and (3) willing to provide informed consent and complete the survey. Data collection was carried out in community-based settings, including public and residential areas within the commune.

4.2. Sampling

Due to the logistical complexities of accessing community-dwelling elderly populations, a convenience sampling methodology was employed. To maximize community representativeness, prospective participants were approached in-person at diverse communal hubs, such as community houses and local parks, at varied times of the day across three major municipalities: Trau Quy, Da Ton, and Dang Xa.

4.3. Study Instruments

The structured questionnaire was developed based on a comprehensive literature review of validated instruments from previous studies. The instrument consisted of three main sections: demographics; practice; and knowledge. Section 1 collected demographic characteristics including sex, age, education level, previous occupation, and residence. Participants were asked to classify their residential area as either urban, suburban, or rural, based on their own perception. These items were adapted from the World Health Organization (WHO) Antibiotic Resistance Multi-Country Public Awareness Survey [22]. The full English and Vietnamese versions of the questionnaire are available in Supplementary Text S1 and Supplementary Text S2, respectively.
Section 2 comprised 15 questions, adapted from a study on antibiotic practices in Vietnam [9]. The first four assessed prior antibiotic use, sources of procurement, and receipt of medical advice. The remaining questions evaluated usage habits, such as self-medication, sharing medication, early discontinuation, and dosing errors. These practice items were measured using a four-point Likert-type scale reflecting frequency and agreement: “Strongly agree/Often”, “Agree/Sometimes”, “Disagree/Rarely”, and “Strongly disagree/Never”.
Section 3 was divided into two parts. The first part (Section 3.1) contained 12 questions, adapted from a study in Malaysia [23], which assessed knowledge regarding antibiotic identification, indications, and side effects [23]. The second part (Section 3.2) consisted of 7 questions adapted from the WHO survey to assess awareness of AMR [22]. All knowledge items used “True”, “False”, and “Don’t Know” response options.
To ensure content validity, the adapted questionnaire was initially developed in English and rigorously reviewed by two senior team members, one a medical microbiologist with considerable AMR research expertise and the other a medical practitioner with experience of prescribing antibiotics in Vietnam. Following this validation process, the original English language instrument was translated into Vietnamese and back-translated into English to ensure face validity. Finally, the questionnaire was piloted on 10 older adults to verify its design, readability, and comprehension, with final modifications made before it was officially deployed.

4.4. Data Collection

Data were collected via face-to-face interviews administered by trained research personnel. This modality was specifically chosen to mitigate potential health literacy barriers or visual impairments common in elderly populations, ensuring accurate comprehension of the survey items. Each interview lasted approximately 30 minutes.

4.5. Study Outcomes

The primary outcomes of this study were general knowledge regarding antibiotics, awareness of AMR, and self-reported practices regarding antibiotic use.
For general knowledge regarding antibiotics (12 questions in Section 3.1), we counted the number of correct responses (ranging from 0 to 12). The “don’t know” response was considered incorrect. Awareness of AMR (7 questions in Section 3.2) followed the same scoring approach, resulting in an overall score ranging from 0 to 7.
For antibiotic use practices (11 questions in Section 2), responses were dichotomized. For positively framed items, responses of “Agree/Sometimes” and “Strongly agree/Often” were assigned 1 point, while “Disagree/Rarely” and “Strongly disagree/Never” were assigned 0 points. Negatively framed items were reverse coded accordingly. The total practice score was calculated by summing all items, ranging from 0 to 11, with higher scores indicating more appropriate antibiotic use practices.

4.6. Statistical Analysis

Descriptive statistics were utilized to profile participant demographics and their total scores for each section. Categorical variables were expressed as frequencies and percentages, while continuous composite scores were summarized using means (standard deviations (SD)), medians (interquartile ranges), and ranges (min-max). Differences among subgroups were tested using Pearson’s Chi-squared test or Fisher’s exact test for categorical variables, and using t-test, analysis of variance (ANOVA), or Kruskal-Wallis rank-sum test for quantitative variables, where appropriate.
We conducted multivariable linear regression models to identify independent factors associated with the knowledge, practice, and AMR awareness scores. Covariates included demographic characteristics, and, for the practice model, knowledge scores.
All statistical analyses were performed using R statistical computing software. A two-sided p-value of < 0.05 was considered statistically significant.

5. Conclusions

This study demonstrates that older adults in suburban Hanoi possess high levels of superficial awareness of AMR but lack the critical, functional knowledge required to make safe medical decisions, leading to widespread self-medication and inappropriate antibiotic use for viral symptoms. Advanced age is a significant risk factor for poor health literacy in this context. To effectively combat AMR in Vietnam, multifaceted interventions are urgently needed. These should include targeted, easy-to-understand educational campaigns tailored to the elderly via traditional media, alongside stricter enforcement of dispensing regulations at community pharmacies to reduce, and preferably prevent, unprescribed sales of antibiotics.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Text S1: Full English version of the questionnaire; Text S2: Full Vietnamese version of the questionnaire; Table S1: Responses to general antibiotic knowledge and AMR awareness, stratified by education level, residence, and occupation; Table S2: Mean scores for general antibiotic knowledge and AMR awareness across sociodemographic characteristics; Table S3: Self-reported practices related to antibiotic use, stratified by education level, residence, and occupation; Table S4: Mean appropriate antibiotic use practice scores across sociodemographic characteristics.

Author Contributions

Conceptualization, P.H.T.D.; methodology, P.H.T.D. and H.B.L.; validation, N.T.H.D.; formal analysis, P.H.T.D. and H.B.L.; investigation, H.H.T. and N.T.H.D.; data curation, H.H.T.; writing—original draft preparation, P.H.T.D.; writing—review and editing, H.H.T., N.T.H.D., H.B.L. and A.W.T.-R.; visualization, N.T.H.D.; supervision, H.B.L. and A.W.T.-R.; project administration, A.W.T.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was considered a public engagement activity by the VinUniversity-Vinmec Ethics Review Board and classified as an IRB exemption. However, it was advised that the study should be conducted ethically, ensuring participant well-being, staff and student safety, data protection, and adherence to university policies. Eligible subjects were informed of the purpose of the study, study procedure, right to withdraw, and protection of privacy and confidentiality before they were asked to provide informed consent. Each participant received 40,000 Vietnamese Dong (approximately USD 1.5) as compensation for their time taken to participate in the study. All investigators were trained in research ethics, and the study strictly followed the Declaration of Helsinki and Good Clinical Practice.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Acknowledgments

The authors express their sincere thanks to the local authorities in Gia Lam Commune, Hanoi who assisted the team in gaining community access, facilitating communication with residents and ensuring the smooth execution of the fieldwork. We are profoundly grateful to those older adults who generously devoted their time to participate in this survey.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AMR Antimicrobial Resistance
AMS Antimicrobial Stewardship
ASU Antimicrobial Smart Use
CI Confidence Interval
COVID-19 Coronavirus Disease 2019
EU European Union
GRAM Global Research on Antimicrobial Resistance
HIV/AIDS Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome
KAP Knowledge, Awareness, and Practices
OTC Over-the-counter
REF Reference group
SD Standard Deviation
WHO World Health Organization

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Figure 1. Proportion of responses to statements assessing appropriateness of antibiotic use practices.
Figure 1. Proportion of responses to statements assessing appropriateness of antibiotic use practices.
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Table 1. Sociodemographic characteristics and history of antibiotic use among older adults in Gia Lam Commune, Hanoi.
Table 1. Sociodemographic characteristics and history of antibiotic use among older adults in Gia Lam Commune, Hanoi.
Characteristic N = 1771
Participant Characteristics
Sex
   Male 78 (44%)
   Female 99 (56%)
Age group
   60-67 80 (45%)
   68-77 73 (41%)
   78+ 24 (14%)
Education level
   College or higher 49 (28%)
   High school or lower 128 (72%)
Urban or suburban/rural
   Suburban or Rural 37 (21%)
   Urban 140 (79%)
Occupation
   Not in paid employment 19 (11%)
   Non-skilled worker 91 (51%)
   Skilled worker 44 (25%)
   Other 23 (13%)
Antibiotic Use Experience
Last antibiotic consumption
   In the last month 55 (31%)
   In the last 6 months 37 (21%)
   In the last year 14 (7.9%)
   More than a year ago 34 (19%)
   Never 9 (5.1%)
   Cannot remember 28 (16%)
Obtained the antibiotic prescription from a doctor 115 (68%)
Instructed on taking antibiotics by a healthcare worker 137 (82%)
Location of buying antibiotics
   Pharmacy 101 (60%)
   Hospital 63 (38%)
   Elsewhere 4 (2%)
1n (%).
Table 2. Responses to general antibiotic knowledge and antimicrobial resistance awareness items, stratified by sex.
Table 2. Responses to general antibiotic knowledge and antimicrobial resistance awareness items, stratified by sex.
Overall Sex
Characteristic N = 1771 Male
N = 781
Female
N = 991
p-value2
General Antibiotic Knowledge
• Antibiotics are medicines that can kill bacteria 145 (82%) 69 (88%) 76 (77%) 0.045
• Antibiotics can be used to treat viral infections 53 (30%) 29 (37%) 24 (24%) 0.062
• Penicillin is an antibiotic 141 (80%) 72 (92%) 69 (70%) < 0.001
• Paracetamol is an antibiotic 75 (42%) 37 (47%) 38 (38%) 0.2
1. All antibiotics do not cause side effects when taken at the recommended dose by doctors 73 (41%) 38 (49%) 35 (35%) 0.073
• Some antibiotics may cause an allergic reaction 124 (70%) 61 (78%) 63 (64%) 0.036
2. Do you think these conditions can be treated with antibiotics?
   COVID-19 81 (46%) 40 (51%) 41 (41%) 0.2
   Fever 58 (33%) 22 (28%) 36 (36%) 0.3
   Skin or wound infection 9 (5.1%) 3 (3.8%) 6 (6.1%) 0.7
   Body aches 112 (63%) 52 (67%) 60 (61%) 0.4
   Headaches 125 (71%) 63 (81%) 62 (63%) 0.009
   HIV/AIDS 41 (23%) 29 (37%) 12 (12%) < 0.001
Antimicrobial Resistance
• Antibiotic resistance occurs when your body becomes resistant to antibiotics, when they no longer work as well 7 (4.5%) 2 (2.8%) 5 (6.1%) 0.4
1. Many infections are becoming increasingly resistant to treatment by antibiotics 139 (90%) 68 (93%) 71 (87%) 0.2
• Antibiotic resistance is a medical issue that could adversely affect me or my family 141 (91%) 61 (84%) 80 (98%) 0.002
2. Antibiotic resistance is an issue in other countries but NOT here 85 (55%) 47 (64%) 38 (46%) 0.024
• Antibiotic resistance is only a problem for people who take antibiotics regularly 30 (19%) 15 (21%) 15 (18%) 0.7
• Bacteria that are resistant to antibiotics can be spread from person to person 66 (43%) 37 (51%) 29 (35%) 0.054
• Antibiotic-resistant infections increase the risk to hospital patients of undergoing medical procedures like surgery 123 (79%) 61 (84%) 62 (76%) 0.2
1n (%). 2Pearson's Chi-squared test; Fisher's exact test.
Table 3. Multivariable linear regression analysis of factors associated with antibiotic knowledge and antimicrobial resistance awareness scores.
Table 3. Multivariable linear regression analysis of factors associated with antibiotic knowledge and antimicrobial resistance awareness scores.
Antibiotic Knowledge Score AMR Awareness Score
Characteristic β (95% CI)1 β (95% CI)1
Sex (reference: Male)
   Female -0.68 (-1.5, 0.10) -0.24 (-0.67, 0.18)
Age group (reference: 60-67)
   68-77 -0.40 (-1.1, 0.34) -0.91 (-1.3, -0.50)***
   78+ -2.0 (-3.1, -0.93)*** -0.95 (-1.6, -0.30)**
Education level (reference: College or higher)
   High school or lower -1.2 (-2.1, -0.19)* -0.30 (-0.81, 0.20)
Residence (reference: Suburban/rural)
   Urban 0.90 (0.07, 1.7)* 0.23 (-0.24, 0.69)
Occupation (reference: Not in paid employment)
   Non-skilled worker -0.60 (-1.7, 0.49) 0.02 (-0.59, 0.63)
   Skilled worker 0.44 (-0.93, 1.8) 0.23 (-0.52, 0.97)
   Other 0.08 (-1.4, 1.6) 0.51 (-0.31, 1.3)
1*p < 0.05; **p < 0.01; ***p < 0.001. Abbreviation: CI = Confidence Interval.
Table 4. Self-reported practices related to antibiotic use among older adults, stratified by sex.
Table 4. Self-reported practices related to antibiotic use among older adults, stratified by sex.
Overal Sex
Statement N = 1771 Male
N = 781
Female
N = 991
p-value2
1. I either take antibiotics or ask the doctor to prescribe antibiotics when I have a common cold, cough, and/or flu-like symptoms 86 (51%) 34 (46%) 52 (55%) 0.2
2. I consult a doctor before starting a course of antibiotics 87 (52%) 42 (57%) 45 (48%) 0.3
3. I get antibiotics at the medical store or community pharmacy without a prescription 75 (45%) 33 (45%) 42 (45%) > 0.9
4. I complete the full course of antibiotics prescribed by a doctor 123 (73%) 54 (73%) 69 (73%) > 0.9
5. I discontinue taking antibiotics when symptoms have improved or resolved, even if I have not completed the recommended course of treatment 93 (55%) 38 (51%) 55 (59%) 0.4
6. I intentionally use a lower dose of antibiotics rather than the one recommended by a doctor or pharmacist 121 (72%) 51 (69%) 70 (74%) 0.4
7. I intentionally use a higher dose of antibiotics rather than the one recommended by a doctor or pharmacist 152 (90%) 69 (93%) 83 (88%) 0.3
8. I use leftover antibiotics from my previous treatments without seeking medical advice if I develop similar symptoms 136 (81%) 58 (78%) 78 (83%) 0.5
9. I offer leftover antibiotics to others if they develop similar symptoms 158 (94%) 71 (96%) 87 (93%) 0.5
10. I stockpile antibiotics at home in case of emergency for myself or other family members 151 (90%) 66 (89%) 85 (90%) 0.8
11. I check the expiry date, read and follow the instructions label of the antibiotics before taking them 121 (72%) 53 (72%) 68 (72%) > 0.9
1n (%);
2Pearson's Chi-squared test; Fisher's exact test
Table 5. Multivariable linear regression analysis of factors associated with appropriate antibiotic use practice scores.
Table 5. Multivariable linear regression analysis of factors associated with appropriate antibiotic use practice scores.
Characteristic β (95% CI)1
Total knowledge score 0.15 (0.00, 0.30)*
Sex (reference: Male)
   Female 0.74 (-0.03, 1.5)
Age group (reference: 60-67)
   68-77 -0.48 (-1.2, 0.24)
   78+ -0.35 (-1.5, 0.77)
Education level (reference: College or higher)
   High school or lower -0.44 (-1.4, 0.53)
Residence (reference: Suburban/rural)
   Urban -0.21 (-1.0, 0.61)
Occupation (reference: Not in paid employment)
   Non-skilled worker -0.18 (-1.2, 0.89)
   Skilled worker 0.10 (-1.2, 1.4)
   Other 1.0 (-0.45, 2.5)
1*p < 0.05; **p < 0.01; ***p < 0.001. Abbreviation: CI = Confidence Interval.
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