文章基本信息

标题：Contextual Determinants of Childhood Injury: A Systematic Review of Studies With Multilevel Analytic Methods
本地全文：下载
作者：Rod McClure ; Scott Kegler ; Tamzyn Davey 等
期刊名称：American journal of public health
印刷版ISSN：0090-0036
出版年度：2015
卷号：105
期号：12
页码：e37-e43
DOI：10.2105/AJPH.2015.302883
语种：English
出版社：American Public Health Association
摘要：Background. The definition of injury that underpins the contemporary approach to injury prevention is an etiological definition relating to bodily damage arising from transfer of energy to tissues of the body beyond the limits compatible with physiological function. Causal factors proximal to the energy transfer are nested within a more complex set of contextual determinants. For effective injury control, understanding of these determinants is critical. Objectives. The primary aims of this study were to describe the area-level determinants that have been included in multilevel analyses of childhood injury and to quantify the relationships between these area-level exposures and injury outcomes. Search methods. We conducted a systematic review of peer-reviewed, English-language literature published in scientific journals between January 1997 and July 2014, reporting studies that employed multilevel analyses to quantify the eco-epidemiological causation of physical unintentional injuries to children aged 16 years and younger. We conducted and reported the review in accordance with the PRISMA guidelines. Selection criteria. We included etiological studies of causal risk factors for unintentional traumatic injuries to children aged 0 to 16 years. Methodological inclusion criteria were as follows: Epidemiological studies quantifying the relationship between risk factors (at various levels) and injury occurrence in the individual; Studies that recognized individual exposure and at least 1 higher level of exposure with units at lower levels or microunits (e.g., individuals) nested within units at higher levels or macrounits (e.g., areas or neighborhoods); Injury outcomes (dependent variable) examined at the individual level; and Central analytic techniques belonging to the following categories: multilevel models, hierarchical models, random effects models, random coefficient models, covariance components models, variance components models, and mixed models. We combined criteria from the checklist described by the Cochrane Effective Practice and Organization of Care Review Group with factors in the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) statement, and we used several quality assessment items from other injury-related systematic reviews to create a quality assessment checklist for this review. Data collection and analysis. Two authors independently extracted data and selected analysis features for the included studies by using preformatted tables. They extracted information as reported in the articles. We determined statistical significance of estimates and effects by using the conventional threshold, P < .05. Any differences in the information extracted were resolved by discussion between authors and by specifically rereading and rechecking the facts as reported in the relevant articles. We tabulated results from the final multilevel model(s) in each of the included articles with key aspects summarized in text. Interpretations of the results and identification of key issues raised by the collated material are reported in the Discussion section of this article. Main results. We identified 11 967 articles from the electronic search with only 14 being included in the review after a detailed screening and selection process. Nine of the 14 studies identified significant fixed effects at both the area and individual levels. The area-level variables most consistently associated with child injury rates related to poverty, education, employment, and access to services. There was some evidence that injury rates were lower in areas scoring well on area-level summary measures of neighborhood safety. There was marked variation in the methods used and in the mapping of measured variables onto the conceptual model of ecological causation. Author conclusions. These results help establish the scope for the public policy approach to injury prevention. More consistent reporting of multilevel study results would aid future interpretation and translation of such findings. PLAIN-LANGUAGE SUMMARY: Injury remains the leading cause of childhood deaths in many parts of the world. Part of the variation in child injury rates between populations can be explained by the different social and physical environments within which children live. We reviewed the current state of knowledge in this area. We examined 14 qualifying research articles relevant to the area of interest. Results of the review show that features of the social and physical environments most consistently associated with child injury rates involve neighborhood safety, poverty, levels of education, and access to services. Because there have been so few research projects conducted on this topic, and because of the wide variation in the methods used, existing knowledge does not offer a strong basis for explaining how the environments in which children live influence their risk of injury. Public policy offers great potential (e.g., through allocation of public resources, activities of social institutions, design of public spaces) to facilitate solutions to the problem of injury. Although the evidence provided by this review is somewhat limited in scope, what it does provide is critically important for the development of future research and future public policy initiatives. The definition of injury that underpins the contemporary approach to injury prevention is an etiological definition relating to bodily damage arising from transfer of energy to tissues of the body beyond the limits compatible with physiological function. 1,2 Causal factors proximal to the energy transfer are nested within a more complex set of contextual determinants. 3 For effective injury control, understanding of these contexts is critical. 4 The most common characterization of the context in which energy transfer occurs has been in terms of the social determinants of health literature. 5 A systematic review of all articles published between 1960 and 2002 that quantified the role of socioeconomic determinants of injury identified 10 studies with data analyzed only at the individual level, 5 that used area-level analysis, and only 1 study that employed multilevel statistics. 6 Overall, authors reported a strong, inverse association between socioeconomic status and unintentional injuries, but noted varied patterns depending on injury cause, setting, population, and level of analyses. 6 There was also a general consensus among authors that the mixed results across the published literature may have been because the role of context as a determinant of injury was more nuanced than could be detected by the coarse measurements and methods used, and that the field needed to develop further in terms of measurement, conceptualization of cause, and analytic sophistication if it were to adequately describe the complex causal pathways. Since 2002, several qualitative efforts have been made to apply and adapt the developing concepts of ecological public health to the specific issue of injury causation. 7–10 In 2010, Pickett et al. noted that the field of injury control research was starting to benefit from a recent application of the multilevel concept of injury causation, stated a priori, to guide more innovative etiological modeling. 11 However, to date there remain few accounts in the literature of quantitative studies whose primary aim has been to elucidate ecological causation by using appropriate multilevel statistics. To the authors’ knowledge, there have been no published studies that have delineated the relevant multilevel causal factors for a given injury type and then developed, implemented, and evaluated a whole-of-population injury prevention program based on this eco-epidemiological framework. Interest in the need to understand the context within which injury occurs has been heightened by developments in the public policy approach to injury prevention. Public policy has long been an important tool for injury prevention practitioners, as the logical final step in the progression from knowledge to practice (e.g., the mandated use of child car seats and bike helmets to ensure widespread uptake). More recently, injury prevention practitioners have formally explored policy frameworks and approaches, such as Kingdon’s streams approach, 12 that focus on the public domain, and on how and why policy issues rise and fall from the government agenda. 13 In their explanation of road safety as a social issue, Johnson et al. 14 discuss the role of public constituency, committed societal leadership, safety climate, an appropriate infrastructure, cooperation and coordination among all stakeholders, and a long-term perspective as critical elements of societal intervention to eliminate serious injury and death from road transport. In epidemiological terms, these social institutions are the area-level factors in a multilevel causal model of road crash injury that when optimized by practitioner action become components of the overall preventive intervention. Activities of social institutions, allocation of public resources, and design of public spaces are specified by public policy. Policy has a more direct influence on area-level than on individual-level factors. Thus, understanding the relationship between these area-level factors, the downstream individual-level behaviors, and the risk of child injury may be helpful in maximizing the effectiveness of child injury interventions at the population level. As the basis for encouraging further the development of an ecological approach to injury prevention, we have undertaken a systematic review to identify, collate, and synthesize the current quantitative evidence from studies that have used formal multilevel statistical methods to examine the causation of childhood injury. The primary aims of this study were to describe the multilevel determinants of childhood injury represented in the included studies and to quantify the relationships between these multilevel level exposures and injury outcomes.