Dataset Information

Socio-demographic and health service factors associated with antibiotic dispensing in older Australian adults.

ABSTRACT:

Background

Widespread use of antibiotics has led to the development of antibiotic resistance. However, there are limited data describing antibiotic use in the community setting, and examining factors associated with greater use. Our study aimed to quantify antibiotic dispensing in older adults in the community according to socio-demographics and health services use.

Methods

Prospective analysis of a population-based cohort study of 239,981 adults aged ?45 years in Australia (the Sax Institute's 45 and Up Study). Data on socio-demographics and health from a questionnaire, were linked to 2015 antibiotic dispensing data from the Pharmaceutical Benefits Scheme (PBS), as well as other administrative health databases. We estimated the Defined Daily Dose (DDD) of systemic antibiotics dispensed, defined by an Anatomic Therapeutic Classification code beginning with J01, in 2015. We also conducted Poisson regression with robust standard errors to identify factors associated with antibiotic dispensing.

Results

Overall, 49.3% of 45 and Up Study participants had at least one systemic antibiotic dispensed in 2015 with a total of 392,856 prescriptions dispensed and an average of 36.5 DDDs/1000-persons/day in the study population. The quantity of antibiotics dispensed increased with increasing age (25.6 DDDs/1000/day in <60 years old versus 50.4 DDDs/1000/day in 80+ year old) and was higher comparing women to men (39.9 versus 32.4 DDDs/1000/day). Of factors examined, the greatest dispensing of antibiotics was among those who had been resident in an aged care facility and those with >15 general practitioner consultations in the last year (80.5 and 88.3 DDDs/1000/day, respectively). These factors remained strongly associated with greater antibiotic dispensing after adjusting for age, sex, education, income, area of residence and co-morbidities.

Conclusions

Residence in aged care facilities and high GP visits are associated with greater antibiotic dispensing. This study provides important evidence regarding high use groups for antimicrobial stewardship.

SUBMITTER: Chen Y

PROVIDER: S-EPMC6715220 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Socio-demographic and health service factors associated with antibiotic dispensing in older Australian adults.

Chen Yingxi Y Kirk Martyn D MD Stuart Rhonda R Cheng Allen C AC Pearson Sallie-Anne SA Hayen Andrew A Banks Emily E Liu Bette B

PloS one 20190829 8

<h4>Background</h4>Widespread use of antibiotics has led to the development of antibiotic resistance. However, there are limited data describing antibiotic use in the community setting, and examining factors associated with greater use. Our study aimed to quantify antibiotic dispensing in older adults in the community according to socio-demographics and health services use.<h4>Methods</h4>Prospective analysis of a population-based cohort study of 239,981 adults aged ≥45 years in Australia (the S ...[more]

PMID: 31465480

Similar Datasets

Project description:BackgroundAustralian Aboriginal people are disproportionately affected by physical disability; the reasons for this are unclear. This study aimed to quantify associations between severe physical functional limitations and socio-demographic and health-related factors among older Aboriginal and non-Aboriginal adults.MethodsQuestionnaire data from 1,563 Aboriginal and 226,802 non-Aboriginal participants aged ?45 years from the Sax Institute's 45 and Up Study (New South Wales, Australia) were used to calculate age- and sex-adjusted prevalence ratios (aPRs) for severe limitation [MOS-PF score <60] according to socio-demographic and health-related factors.ResultsOverall, 26% (410/1563) of Aboriginal participants and 13% (29,569/226,802) of non-Aboriginal participants had severe limitations (aPR 2.8, 95%CI 2.5-3.0). In both Aboriginal and non-Aboriginal participants, severe limitation was significantly associated with: being ?70 vs <70 years old (aPRs 1.8, 1.3-2.4 and 5.3, 5.0-5.5, within Aboriginal and non-Aboriginal participants, respectively), none vs tertiary educational qualifications (aPRs 2.4, 1.7-3.3 and 3.1, 3.0-3.2), lower vs higher income (aPRs 6.6, 4.2-10.5 and 5.5, 5.2-5.8), current vs never-smoking (aPRs 2.0, 1.6-2.5 and 2.2, 2.1-2.3), obese vs normal weight (aPRs 1.7, 1.3-2.2 and 2.7, 2.7-2.8) and sitting for ?7 vs <7 hours/day (aPRs 1.6, 1.2-2.0 and 1.6, 1.6-1.7). Severe limitations increased with increasing ill-health, with aPRs rising to 5-6 for ?5 versus no chronic conditions. It was significantly higher in those with few vs many social contacts (aPRs 1.7, 1.4-2.0 and 1.4, 1.4-1.4) and with very high vs low psychological distress (aPRs 4.4, 3.6-5.4 and 5.7, 5.5-5.9).ConclusionsAlthough the prevalence of severe physical limitation among Aboriginal people in this study is around three-fold that of non-Aboriginal people, the factors related to it are similar, indicating that Aboriginal people have higher levels of risk factors for and consequences of severe limitations. Effective management of chronic disease and reducing the prevalence of obesity and smoking are important areas for attention.

Project description:BackgroundSince the traditional models missed the possibility of formulating personalised programs centred on a person's priorities and values, it was a pressing priority to shift from traditional disease-centred to a function-based approach of healthy ageing, which is defined as 'the process of developing and maintaining the functional ability that enables well-being in older age'. The present study aimed to assess the prevalence of high intrinsic capacity (IC) of older adults and to examine the socio-demographic and lifestyle factors associated with IC among older adults in India.MethodsThe study utilises the individual-level data from the first wave of the Longitudinal Aging Study in India (LASI) conducted during 2017-18. The total sample size for the present study was 24,136 older adults (11,871 males and 12,265 females) aged 60 years and above. Descriptive statistics, along with bivariate analysis, was employed to present the preliminary results. Additionally, multivariable linear and logistic regression analyses were conducted to find out the association of socio-demographic and lifestyle factors with IC and its components.ResultsThe mean IC score was found to be 7.37 (SD = 1.6) in this study. A proportion of 24.56% of older adults was observed to be in the higher IC category. Increasing age was negatively associated with high IC for older men and women. Older people who smoke tobacco (β = -0.23; CI: -0.32--0.13) and chew tobacco (β = -0.11; CI: -0.18--0.03) were less likely to experience high IC compared to their respective counterparts. Older adults who reported episodic alcohol drinking were less likely to have high IC (β = -0.20; CI:-0.32--0.07). The engagement in moderate physical activity (β = 0.12; CI:0.01-0.23), vigorous physical activity (β = 0.12; CI:0.05-0.20) and yoga-related activity (β = 0.18; CI:0.09-0.26) were significantly positively associated with high IC. Among the five domains of IC, education was significantly associated with higher capacity in each domain, and increasing age was found to be a significant predictor of lower capacity in each IC domain except locomotion. Older men and women engaged in vigorous physical activity had 35 and 19% significantly higher odds of high capacity in sensory (aOR = 1.35; CI: 1.12-1.62) and psychological (aOR = 1.19; CI: 1.06-1.34) domains, respectively.ConclusionsThe study revealed that lifestyle behaviours including tobacco use, episodic alcohol drinking and physical activity are strongly associated with IC among older adults in India. The findings suggest that healthy lifestyle behaviours should be encouraged among older adults as an effort to improve their IC, which is the key determinant of functional ability and quality of life in later years of life.

Project description:BackgroundIt is commonly recommended that microbiological assessment should accompany the use of antibiotics prone to resistance. We sought to estimate the rate of microbiology testing and compare this to dispensing of the World Health Organization classified "watch" group antibiotics in primary care.MethodsData from a cohort of older adults (mean age 69 years) were linked to Australian national health insurance (Pharmaceutical Benefits Scheme & Medicare Benefits Schedule) records of community-based antibiotic dispensing and microbiology testing in 2015. Participant characteristics associated with greater watch group antibiotic dispensing and microbiology testing were estimated using adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI) in multivariable zero-inflated negative binomial regression models.ResultsIn 2015, among 244,299 participants, there were 63,306 watch group antibiotic prescriptions dispensed and 149,182 microbiology tests conducted; the incidence rate was 0.26 per person-year for watch group antibiotic dispensing and 0.62 for microbiology testing. Of those antibiotic prescriptions, only 19% were accompanied by microbiology testing within - 14 to + 7 days. After adjusting for socio-demographic factors and co-morbidities, individuals with chronic respiratory diseases were more likely to receive watch group antibiotics than those without, e.g. asthma (aIRR:1.59, 95%CI:1.52-1.66) and chronic obstructive pulmonary disease (COPD) (aIRR:2.71, 95%CI:2.48-2.95). However, the rate of microbiology testing was not comparably higher among them (with asthma aIRR:1.03, 95%CI:1.00-1.05; with COPD aIRR:1.00, 95%CI:0.94-1.06).ConclusionsPriority antibiotics with high resistance risk are commonly dispensed among community-dwelling older adults. The discord between the rate of microbiology testing and antibiotic dispensing in adults with chronic respiratory diseases suggests the potential for excessive empirical prescribing.

Project description:BackgroundSome types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults' sedentary behavior, and to examine their associations with health-related and socio-demographic factors.MethodsCross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.ResultsFive distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.ConclusionsAlthough causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

Dataset Information

Socio-demographic and health service factors associated with antibiotic dispensing in older Australian adults.

Background

Methods

Results

Conclusions

Publications

Socio-demographic and health service factors associated with antibiotic dispensing in older Australian adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets