Population-based interventions for preventing falls and fall-related injuries in older people.

BACKGROUND: Around one-third of older adults aged 65 years or older who live in the community fall each year. Interventions to prevent falls can be designed to target the whole community, rather than selected individuals. These population-level interventions may be facilitated by different healthcare, social care, and community-level agencies. They aim to tackle the determinants that lead to risk of falling in older people, and include components such as community-wide polices for vitamin D supplementation for older adults, reducing fall hazards in the community or people's homes, or providing public health information or implementation of public health programmes that reduce fall risk (e.g. low-cost or free gym membership for older adults to encourage increased physical activity). OBJECTIVES: To review and synthesise the current evidence on the effects of population-based interventions for preventing falls and fall-related injuries in older people. We defined population-based interventions as community-wide initiatives to change the underlying societal, cultural, or environmental conditions increasing the risk of falling. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, three other databases, and two trials registers in December 2020, and conducted a top-up search of CENTRAL, MEDLINE, and Embase in January 2023. SELECTION CRITERIA: We included randomised controlled trials (RCTs), cluster RCTs, trials with stepped-wedge designs, and controlled non-randomised studies evaluating population-level interventions for preventing falls and fall-related injuries in adults ≥ 60 years of age. Population-based interventions target entire communities. We excluded studies only targeting people at high risk of falling or with specific comorbidities, or residents living in institutionalised settings. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane, and used GRADE to assess the certainty of the evidence. We prioritised seven outcomes: rate of falls, number of fallers, number of people experiencing one or more fall-related injuries, number of people experiencing one or more fall-related fracture, number of people requiring hospital admission for one or more falls, adverse events, and economic analysis of interventions. Other outcomes of interest were: number of people experiencing one or more falls requiring medical attention, health-related quality of life, fall-related mortality, and concerns about falling. MAIN RESULTS: We included nine studies: two cluster RCTs and seven non-randomised trials (of which five were controlled before-and-after studies (CBAs), and two were controlled interrupted time series (CITS)). The numbers of older adults in intervention and control regions ranged from 1200 to 137,000 older residents in seven studies. The other two studies reported only total population size rather than numbers of older adults (67,300 and 172,500 residents). Most studies used hospital record systems to collect outcome data, but three only used questionnaire data in a random sample of residents; one study used both methods of data collection. The studies lasted between 14 months and eight years. We used Prevention of Falls Network Europe (ProFaNE) taxonomy to classify the types of interventions. All studies evaluated multicomponent falls prevention interventions. One study (n = 4542) also included a medication and nutrition intervention. We did not pool data owing to lack of consistency in study designs. Medication or nutrition Older people in the intervention area were offered free-of-charge daily supplements of calcium carbonate and vitamin D3. Although female residents exposed to this falls prevention programme had fewer fall-related hospital admissions (with no evidence of a difference for male residents) compared to a control area, we were unsure of this finding because the certainty of evidence was very low. This cluster RCT included high and unclear risks of bias in several domains, and we could not determine levels of imprecision in the effect estimate reported by study authors. Because this evidence is of very low certainty, we have not included quantitative results here. This study reported none of our other review outcomes. Multicomponent interventions Types of interventions included components of exercise, environment modification (home; community; public spaces), staff training, and knowledge and education. Studies included some or all of these components in their programme design. The effectiveness of multicomponent falls prevention interventions for all reported outcomes is uncertain. The two cluster RCTs included high or unclear risk of bias, and we had no reasons to upgrade the certainty of evidence from the non-randomised trial designs (which started as low-certainty evidence). We also noted possible imprecision in some effect estimates and inconsistent findings between studies. Given the very low-certainty evidence for all outcomes, we have not reported quantitative findings here. One cluster RCT reported lower rates of falls in the intervention area than the control area, with fewer people in the intervention area having one or more falls and fall-related injuries, but with little or no difference in the number of people having one or more fall-related fractures. In another cluster RCT (a multi-arm study), study authors reported no evidence of a difference in the number of female or male residents with falls leading to hospital admission after either a multicomponent intervention ("environmental and health programme") or a combination of this programme and the calcium and vitamin D3 programme (above). One CBA reported no difference in rate of falls between intervention and control group areas, and another CBA reported no difference in rate of falls inside or outside the home. Two CBAs found no evidence of a difference in the number of fallers, and another CBA found no evidence of a difference in fall-related injuries. One CITS found no evidence of a difference in the number of people having one or more fall-related fractures. No studies reported adverse events. AUTHORS' CONCLUSIONS: Given the very low-certainty evidence, we are unsure whether population-based multicomponent or nutrition and medication interventions are effective at reducing falls and fall-related injuries in older adults. Methodologically robust cluster RCTs with sufficiently large communities and numbers of clusters are needed. Establishing a rate of sampling for population-based studies would help in determining the size of communities to include. Interventions should be described in detail to allow investigation of effectiveness of individual components of multicomponent interventions; using the ProFaNE taxonomy for this would improve consistency between studies.

A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers.

The COVID-19 pandemic has brought the combined disciplines of public health, infectious disease and policy modelling squarely into the spotlight. Never before have decisions regarding public health measures and their impacts been such a topic of international deliberation, from the level of individuals and communities through to global leaders. Nor have models-developed at rapid pace and often in the absence of complete information-ever been so central to the decision-making process. However, after nearly 3 years of experience with modelling, policy-makers need to be more confident about which models will be most helpful to support them when taking public health decisions, and modellers need to better understand the factors that will lead to successful model adoption and utilization. We present a three-stage framework for achieving these ends.

Physician Dispensing of Oxycodone and Other Commonly Used Opioids, 2000-2015, United States.

Objective: An average of 91 people in the United States die every day from an opioid-related overdose (including prescription opioids and heroin). The direct dispensing of opioids from health care practitioner offices has been linked to opioid-related harms. The objective of this study is to describe the changing nature of the volume of this type of prescribing at the state level. Methods: This descriptive study examines the distribution of opioids by practitioners using 1999-2015 Automation of Reports and Consolidated Orders System data. Analyses were restricted to opioids distributed to practitioners. Amount distributed (morphine milligram equivalents [MMEs]) and number of practitioners are presented. Results: Patterns of distribution to practitioners and the number of practitioners varied markedly by state and changed dramatically over time. Comparing 1999 with 2015, the MME distributed to dispensing practitioners decreased in 16 states and increased in 35. Most notable was the change in Florida, which saw a peak of 8.94 MMEs per 100,000 persons in 2010 (the highest distribution in all states in all years) and a low of 0.08 in 2013. Discussion: This study presents the first state estimates of office-based dispensing of opioids. Increases in direct dispensing in recent years may indicate a need to monitor this practice and consider whether changes are needed. Using controlled substances data to identify high prescribers and dispensers of opioids, as well as examining overall state trends, is a foundational activity to informing the response to potentially high-risk clinical practices.

Recurrent episodes of injury in children: an Australian cohort study.

Objective The aim of the present study was to compare sociodemographic characteristics of children with single versus recurrent episodes of injury and provide contemporary evidence for Australian injury prevention policy development. Methods Participants were identified from the Environments for Healthy Living: Griffith Birth Cohort Study 2006-11 (n=2692). Demographic data were linked to the child's hospital emergency and admissions data from birth to December 2013. Data were dichotomised in two ways: (1) injured or non-injured; and (2) single or recurrent episodes of injury. Multivariate logistic regression was used for analysis. Results The adjusted model identified two factors significantly associated with recurrent episodes of injury in children aged <3 years. Children born to mothers <25 years were almost fourfold more likely to have recurrent episodes of injury compared with children of mothers aged ≥35 years (adjusted odds ratio (aOR)=3.68; 95% confidence interval (CI) 1.44-9.39) and, as a child's age at first injury increased, odds of experiencing recurrent episodes of injury decreased (aOR=0.97; 95% CI 0.94-0.99). No differences were found in sociodemographic characteristics of children aged 3-7 years with single versus recurrent episodes of injury (P>0.1). Conclusion National priorities should include targeted programs addressing the higher odds of recurrent episodes of injury experienced by children aged <3 years with younger mothers or those injured in the first 18 months of life. What is known about the topic? Children who experience recurrent episodes of injury are at greater risk of serious or irrecoverable harm, particularly when repeat trauma occurs in the early years of life. What does the paper add? The present study identifies key factors associated with recurrent episodes of injury in young Australian children. This is imperative to inform evidence-based national injury prevention policy development in line with the recent expiry of the National Injury Prevention and Safety Promotion Plan: 2004-2014. What are the implications for practitioners? Injury prevention efforts need to target the increased injury risk experienced by families from lower socioeconomic backgrounds and, as a priority, children under 3 years of age with younger mothers and children who are injured in the first 18 months of life. These families require access to education programs, resources, equipment and support, particularly in the child's early years. These programs could be provided as part of the routine paediatric and child health visits available to families after their child's birth or incorporated into hospital and general practitioner injury treatment plans.

Prescription Opioid and Benzodiazepine Use After Road Traffic Injury.

BACKGROUND: Motor vehicle crash victims with physical injury are likely to receive prescription opioids and benzodiazepines. Potential mental trauma and lack of primary treating physician contribute to the risk of adverse opioid outcomes for this group. The purpose of this study is to characterise opioid and benzodiazepine prescribing after road traffic injury. METHOD: Individuals who claimed Transport Accident Commission compensation for a noncatastrophic injury that occurred between 2010 and 2012 in Victoria, Australia and who provided consent for pharmaceutical benefits scheme (PBS) linkage were included (n = 734). PBS records dating between 12 months preinjury and 18 months postinjury were provided by the Department of Human Services. RESULTS: In the year before injury, 10.5% of participants received prescription opioids; after injury, 45.1% of hospitalized and 21.1% of nonhospitalized participants received opioids. Benzodiazepines were used by 4.8% preinjury, and 7.0% and 7.4% postinjury (with and without hospitalization, respectively). Postinjury, 39% of opioid use and 73% of benzodiazepine use was potentially unrelated to the injury. CONCLUSIONS: Prescription opioid and benzodiazepine before road traffic injury was substantial: the significance of postinjury prescription drug use cannot be established without taking preinjury use into account. It may be beneficial for pain medication to be managed by a pain treatment coordinator, in this injured population with high rates of pre-existing opioid and benzodiazepine use.

Individual and community factors for railway suicide: a matched case-control study in Victoria, Australia.

PURPOSE: This study aims to simultaneously examine individual- and community-level factors associated with railway suicide. METHODS: We performed a case-control study in Victoria, Australia between 2001 and 2012. Data on cases of railway suicide were obtained from the National Coronial Information System (a database of coronial investigations). Controls were living individuals randomly selected from the Household, Income and Labour Dynamics in Australia study, matching to cases on age groups, sex and year of exposures. A conditional logistic regression model was used to assess the individual-level and community-level influences on individual odds of railway suicide, controlling for socioeconomic status. RESULTS: Individual-level diagnosed mental illness increased railway suicide odds by six times [95 % confidence interval (CI) 4.5, 9.2]. Community-level factors such as living in an area with a presence of railway tracks [odds ratio (OR) 1.8, 95 % CI 1.2, 2.8], within a city (OR 3.2, 95 % CI 1.9, 5.4), and with a higher overall suicide rate (OR 1.02, 95 % CI 1.01, 1.04) were independently associated with greater individual odds of railway suicide compared to living in an area without a presence of railway tracks, outside a city, and with a relatively lower overall suicide rate. CONCLUSIONS: The effects of mental illness and high incidence of overall suicides are prominent, but not specific on railway suicide. The effects of presence of railway tracks and city residence suggest the importance of accessibility to the railways for individual risk of railway suicide. Prevention efforts should focus on vulnerable people live in areas with easy access to the railways.

The effect of pre-existing health conditions on the cost of recovery from road traffic injury: insights from data linkage of medicare and compensable injury claims in Victoria, Australia.

BACKGROUND: Comorbidity is known to affect length of hospital stay and mortality after trauma but less is known about its impact on recovery beyond the immediate post-accident care period. The aim of this study was to investigate the role of pre-existing health conditions in the cost of recovery from road traffic injury using health service use records for 1 year before and after the injury. METHODS: Individuals who claimed Transport Accident Commission (TAC) compensation for a non-catastrophic injury that occurred between 2010 and 2012 in Victoria, Australia and who provided consent for Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) linkage were included (n = 738) in the analysis. PBS and MBS records dating from 12 months prior to injury were provided by the Department of Human Services (Canberra, Australia). Pre-injury use of health service items and pharmaceuticals were considered to indicate pre-existing health condition. Bayesian Model Averaging techniques were used to identify the items that were most strongly correlated with recovery cost. Multivariate regression models were used to determine the impact of these items on the cost of injury recovery in terms of compensated ambulance, hospital, medical, and overall claim cost. RESULTS: Out of the 738 study participants, 688 used at least one medical item (total of 15,625 items) and 427 used at least one pharmaceutical item (total of 9846). The total health service cost of recovery was $10,115,714. The results show that while pre-existing conditions did not have any significant impact on the total cost of recovery, categorical costs were affected: e.g. on average, for every anaesthetic in the year before the accident, hospital cost of recovery increased by 24 % [95 % CI: 13, 36 %] and for each pathological test related to established diabetes, hospital cost increased by $10,407 [5466.78, 15346.28]. For medical costs, each anaesthetic led to $258 higher cost [174.16, 341.16] and every prescription of drugs used in diabetes increased the cost by 8 % [5, 11 %]. CONCLUSIONS: Services related to pre-existing conditions, mainly chronic and surgery-related, are likely to increase certain components of cost of recovery after road traffic trauma but pre-existing physical health has little impact on the overall recovery costs.

Sleep-Related Infant Deaths in Victoria: A Retrospective Case Series Study.

BACKGROUND: There is general agreement that in some circumstances, sharing a sleep surface of any kind with an infant increases the risk of sudden unexpected death in infancy. There is a paucity of research conducted in Australia examining this issue. This study examines the frequency and distribution of sleep-related infant deaths in a defined population, and reports the proportion that occurred in the context of bed-sharing. METHODS: A retrospective population-based case series study was conducted of infants (≤365 days) who died in a sleeping context during the period 1 January 2008 to 31 December 2010 in the state of Victoria, Australia. Information about the infant, caregiver, sleeping environment and bed-sharing was collected from a review of the coroner's death investigation record. RESULTS: During the 3-year study period, 72 infant deaths occurred in a sleeping context. Of these, 33 (45.8 %) occurred in the context of bed-sharing: n = 7 in 2008; n = 11 in 2009; and n = 15 in 2010. Further analysis of the 33 deaths occurring in the context of bed-sharing showed that in this group, bed-sharing was largely intentional, habitual and most often involved the mother as one of the parties. CONCLUSIONS: Given the case series nature of the study design, a causal relationship between bed-sharing and infant death could not be inferred. However the fact that nearly half of all sleep-related deaths occurred in the context of bed-sharing, provides strong support for the need to undertake definitive analytic studies in Australia so that evidence-based advice can be provided to families regarding the safety of bed-sharing practices.

Simulating the dynamic effect of land use and transport policies on the health of populations.

OBJECTIVES: We identified the features of a land use-transportation system that optimizes the health and well-being of the population. METHODS: We developed a quantitative system dynamics model to represent relationships among land use, transport, economic development, and population health. Simulation experiments were conducted over a 10-year simulation period to compare the effect of different baseline conditions and land use-transport policies on the number of motor vehicle crash deaths and disability-adjusted life years lost. RESULTS: Optimal reduction in the public health burden attributable to land transport was demonstrated when transport safety risk reduction policies were combined with land use and transport polices that minimized reliance on individual motorized transport and maximized use of active transport modes. The model's results were particularly sensitive to the level of development that characterized each city at the start of the simulation period. CONCLUSIONS: Local, national, and international decision-makers are encouraged to address transport, land use, and health as an integrated whole to achieve the desired societal benefits of traffic safety, population health, and social equity.

Gender differences in occupational injury incidence.

OBJECTIVES: To describe the frequency and distribution of workplace injury claims by gender, and quantify the extent to which observed gender differences in injury claim rates are attributable to differential exposure to work-related factors. METHODS: WorkSafe Victoria (Australia) workers' compensation data (254,704 claims with affliction onset 2004-2011) were analysed. Claim rates were calculated by combining compensation data with state-wide employment data. RESULTS: Mental disorder claim rates were 1.9 times higher among women; physical injury claim rates were 1.4 times higher among men. Adjusting for occupational group reversed the gender difference in musculoskeletal and tendon injury claim rates, i.e., these were more common in women than men after adjusting for occupational exposure. CONCLUSIONS: Men had higher rates of physical injury claims than women, but this was mostly attributable to occupational factors. Women had higher rates of mental disorder claims than men; this was not fully explained by industry or occupation.

Prescription opioids for occupational injury: results from workers' compensation claims records.

OBJECTIVE: The objective of this study is to identify the prevalence of opioid prescription use in an Australian workers' compensation population and assess predictors of long-term use. DESIGN: Retrospective administrative data analysis. SETTING: WorkSafe Victoria (Australia) workers' compensation. SUBJECTS: Workers with a workers' compensation claim were included if the injury/illness started in 2008 or 2009 (N = 54,931). METHODS: Claim payments records dating up to 2 years postinjury were analyzed to determine receipt of prescription opioids. Long-term use was defined as use of any opioid beyond 1 year postinjury. RESULTS: Within the follow-up period, 8,933 (16.3%) workers claimed prescription opioids: 10.0% claimed opioids in the first year only, and 6.3% claimed opioids beyond the first year. The most commonly received opioids were codeine (10.4%), oxycodone (7.5%), and tramadol (5.0%). Dextropropoxyphene, which is considered unsafe in many countries because of potentially fatal side effects, was used by 1.9% of injured workers. Progression to long-term use of opioids was common (N = 3,446; 39%): age (35-64 years; the association with age followed an inverse U-shaped curve), women, laborers, lower socioeconomic status, greater work disability, and greater hospital expense were associated with opioid use beyond the first year postinjury. CONCLUSION: Prescription opioid use for workplace injury in Australia is common but not as common as reports from U.S. workers' compensation schemes. The type of opioid and number of repeat prescriptions are factors that should be carefully considered by practitioners prescribing opioids to injured workers: progression to long-term use is common and not fully explained by injury severity.

Socioeconomic disparities in prepregnancy BMI and impact on maternal and neonatal outcomes and postpartum weight retention: the EFHL longitudinal birth cohort study.

BACKGROUND: Long-term obesity after pregnancy is associated with obesity prior to pregnancy and retention of weight postpartum. This study aims to identify socioeconomic differences in prepregnancy body mass index, quantify the impact of prepregnancy obesity on birth outcomes, and identify determinants of postpartum weight retention. METHODS: A total of 2231 pregnant women, recruited from three public hospitals in Southeast Queensland in Australia during antenatal clinic visits, completed a questionnaire to elicit information on demographics, socioeconomic and behavioural characteristics. Perinatal information was extracted from hospital records. A follow-up questionnaire was completed by each participant at 12 months after the birth to obtain the mother's postpartum weight, breastfeeding pattern, dietary and physical activity characteristics, and the child's health and development information. Multivariate logistic regression method was used to model the association between prepregnancy obesity and outcomes. RESULTS: Being overweight or obese prepregnancy was strongly associated with socioeconomic status and adverse behavioural factors. Obese women (18% of the cohort) were more likely to experience gestational diabetes, preeclampsia, cesarean delivery, and their children were more likely to experience intensive- or special-care nursery admission, fetal distress, resuscitation, and macrosomia. Women were more likely to retain weight postpartum if they consumed three or fewer serves of fruit/vegetables per day, did not engage in recreational activity with their baby, spent less than once a week on walking for 30 minutes or more or spent time with friends less than once per week. Mothers who breastfed for more than 3 months had reduced likelihood of high postpartum weight retention. CONCLUSIONS: Findings provide additional specificity to the increasing evidence of the predisposition of obesity prepregnancy on adverse maternal and perinatal outcomes. They may be used to target effective behavioural change interventions to address obesity in women.