Empirical evidence suggests that an association between the built environment and physical activity exists. This evidence is mostly derived from cross-sectional studies that do not account for other ...causal explanations such as neighborhood self-selection. Experimental and quasi-experimental designs can be used to isolate the effect of the built environment on physical activity, but in their absence, statistical techniques that adjust for neighborhood self-selection can be used with cross-sectional data. Previous reviews examining the built environment-physical activity relationship have not differentiated among findings based on study design. To deal with self-selection, we synthesized evidence regarding the relationship between objective measures of the built environment and physical activity by including in our review: 1) cross-sectional studies that adjust for neighborhood self-selection and 2) quasi-experiments.
In September 2010, we searched for English-language studies on built environments and physical activity from all available years in health, leisure, transportation, social sciences, and geographical databases. Twenty cross-sectional and 13 quasi-experimental studies published between 1996 and 2010 were included in the review.
Most associations between the built environment and physical activity were in the expected direction or null. Land use mix, connectivity and population density and overall neighborhood design were however, important determinants of physical activity. The built environment was more likely to be associated with transportation walking compared with other types of physical activity including recreational walking. Three studies found an attenuation in associations between built environment characteristics and physical activity after accounting for neighborhood self-selection.
More quasi-experiments that examine a broader range of environmental attributes in relation to context-specific physical activity and that measure changes in the built environment, neighborhood preferences and their effect on physical activity are needed.
In the 21 years since social capital first appeared in the public health literature, the evidence base has grown enormously, now reaching 28 systematic reviews encompassing more than 850 individual ...studies. We summarise this evidence and explain why conclusions relating to both the relationship between social capital and health, and the effectiveness of interventions to promote population health remain elusive and contradictory. A critical factor is the inadequate way that context is treated in the research, and especially how context interacts with efforts to promote health in a dynamic fashion. Of all the different types of interventions one could employ to improve the health of the public, ‘social capital’ interventions are likely to be the most context specific and especially affected by the boundaries placed around the context. A way forward is offered that requires a combination of insights from systems thinking, community-based participatory research, and intervention and improvement sciences. This requires renewed focus on the specific components of social capital, an understanding of how context interacts dynamically with efforts to improve health, a greater role for practice in the design, implementation, adaptation and evaluation of interventions, and the support of researchers to develop better methods for recognising and classifying the knowledge generated by complex interventions.
•Policy implications relating to social capital and health are elusive and contradictory.•They will remain so unless we change the way we design and evaluate health interventions.•Suggestions are offered on how to address this challenge.
Despite major investment in both research and policy, many pressing contemporary public health challenges remain. To date, the evidence underpinning responses to these challenges has largely been ...generated by tools and methods that were developed to answer questions about the effectiveness of clinical interventions, and as such are grounded in linear models of cause and effect. Identification, implementation, and evaluation of effective responses to major public health challenges require a wider set of approaches1,2 and a focus on complex systems.3,4
The mechanisms typically used to fund health promotion in communities, either as part of an effort to scale-up programs or to support the design of local activities, often pay insufficient attention ...to the foundational means of enhancing well-being. Only recently have researchers begun to critically 'unpack' how funding processes connect with and activate local community capacities.
We conducted a thematic analysis of 33 interviews with policy and program administrators in public health and local community workers and volunteers. We invited them to expound on their understandings of resources - specifically, what needs to be in place to make funded programs successful and/or what do communities draw on to make funded programs effective.
Policy and program administrators reflected mostly on the importance of traditional resources, such as adequate funding and staffing. Community-based participants often went further to describe psychological and sociological resources - the "soft infrastructure" which included trust and hope. Both groups emphasised the importance of building networks and relationships at multiple levels. Community workers also provided examples of how resources grow and improve in value in combination with other processes or through pathways of resource use or resource distribution. So, resources like information/knowledge are made more valuable when relayed locally. Physical amenities (e.g., meeting spaces, kitchens) have an instrumental role, but also act powerfully as a symbolic resource for identity. Participants reported that funding processes can damage the resources required for community health improvement. Funding instability undermines capacity. The ongoing threat of funding removal was described by one administrator as community "bullying".
Processes of health promotion funding, and even standard processes of program scale-up and readiness assessment, risk underestimating the range of resources that are fundamental for community health improvement, particularly among disadvantaged communities. Funders should design ways to resource communities so that there is constant attention to and coaching of critically important diverse processes of resource growth, independent of program-specific funds.
Social capital and health promotion: a review Hawe, Penelope; Shiell, Alan
Social science & medicine (1982),
09/2000, Letnik:
51, Številka:
6
Journal Article, Conference Proceeding
Recenzirano
Interest in social capital and health has emerged at an exciting time. In public health, there is a renewed interest in mechanisms that link social inequalities and health. In epidemiology, there has ...been a critical interrogation of methods and a call for a more explicit use of theory. In health promotion over the last 20–30 years, social health interventions have been somewhat marginalised in an era dominated by interest in traditional cardiovascular disease risk factors. Now that social hypotheses are being reborn in health, there is a risk that the sophistication that has developed in social health promotion and the literatures that have informed it could be overlooked. In this paper, we present a brief history of social capital and how it has come into recent prominence through the debate linking income inequality and health. We present the background to this, the earlier literatures on social environmental influences on health and the possible processes thought to underlie this relationship. Social capital has relational, material and political aspects. We suggest that, although the relational properties of social capital are important (eg, trust, networks), the political aspects of social capital are perhaps under recognised. The paper also reviews how complex social processes at the community level have come to be operationalised by social theorists and intervention agents in other fields. We suggest that social capital research so far has inadequately captured the underlying constructs, in particular the qualitative difference between the macro/context level and the micro/individual level. While being cautious about the science, we conclude that social capital’s power as rhetoric and as a metaphor may be of value. We conclude by suggesting that the coalescence of interests in context-level influences on health now invites a revitalisation of theories and interventions inspired by diverse fields, such as geography and ecological community psychology.
Social network analysis is the study of social structure. This glossary introduces basic concepts in social network analysis. It is designed to help researchers to be more discriminating in their ...thinking and choice of methods.
In many countries, children who are diagnosed with autism during the first 5 years of life are offered a range of early intervention options. These options vary considerably in the theoretical ...approaches and techniques applied, their intensity and duration, settings, the person/s delivering supports and the training they require. Early interventions are a significant contributor to total autism-related costs in Western countries, but only in the last 10-20 years has there been adequate outcome data to enable the comparison of different interventions' cost-effectiveness. This protocol describes a scoping review to better understand what economic evaluations have been completed in this field, and the methods used to date.
We will systematically search the following databases from their inception to 2021 for eligible studies: MEDLINE, EMBASE, PsycINFO, Econlit, PEDE, NHS EED and HTA. Full economic evaluations of any types of early intervention for children with autism prior to school entry will be included. Two reviewers will screen the studies, extract the data and assess the study quality using established checklists. The risk of bias will be assessed using the extended CHEC-list for all studies and, additionally, the Philips checklist for modelled studies. Quality of reporting will be assessed using the CHEERS checklist. A narrative synthesis will be completed to collate the findings, describe the methods used and identify which interventions have been researched from an economic perspective.
This review will provide researchers, policymakers and service providers with current information about the economic evidence for early interventions for young children with autism and point to priorities for further research. It will inform future economic evaluations by highlighting the gaps or inconsistencies in the methods used to date. Limitations of the review will be acknowledged and discussed.
Open Science Framework: https://osf.io/sj7kt.
A large proportion of the burden of disease is preventable, yet investment in health promotion and disease prevention programmes remains a small share of the total health budget in many countries. ...The perception that there is paucity of evidence on the cost-effectiveness of public health programmes is seen as a barrier to policy change. The aim of this scoping review is to conduct a census of economic evaluations in primary prevention in order to identify and map the existing evidence.
This review is an update of a prior census and will include full economic evaluations of primary prevention programmes conducted in a community-based setting that were published between 2014 and 2019. The search of electronic databases (MEDLINE and Embase, and NHS-EED for 2014) will be supplemented by a search for grey literature in OpenGrey and a search of the reference lists of reviews of economic evaluations identified in our searches. Retrieved citations will be imported into Covidence® and independently screened in a two-stage process by two reviewers (abstracts and full papers). Any disagreements on the eligibility of a citation will be resolved by discussion with a third reviewer. Included studies will then be categorised by one independent reviewer according to a four-part typology covering the type of health promotion intervention, the risk factor being tackled, the setting in which the intervention took place and the population most affected by the intervention. New to this version of the census, we will also document whether or not the intervention sets out specifically to address inequalities in health.
This review will produce an annotated bibliography of all economic evaluations plus a report summarising the current scope and content of the economic evidence (highlighting where it is plentiful and where it is lacking) and describing any changes in the type of economic evidence available for the various categories of disease prevention programmes since the last census. This will allow us to identify where future evaluative efforts should be focused to enhance the economic evidence base regarding primary prevention interventions.
Registration is being sought concurrently.
To monitor the cost and affordability of a nutritious diet and to assess the influence of distance from the capital city and socioeconomic status on the cost of nutritious food in Victoria.
...Twenty‐six of Victoria's 79 local government areas (33%) were randomly chosen for inclusion in the study. A random sample of stores was selected for inclusion from each local government area. The cost of the 44 ‘healthy’ and 10 ‘discretionary’ food and drinks in the healthy food basket for a family of four for a fortnight was collected during the winter and summer of 2012, 2013 and 2014.
The mean cost of the basket increased from $424.06 ± 38.22 in winter 2012 to $451.19 ± 33.83 in summer 2014 (p<0.001), representing about 31% of government benefit household income. Fruit and vegetables prices were the most varied over time. Distance of the store from state capital city centre predicted difference in food cost.
These findings show that a healthy diet may be unaffordable for some Victorians.
The cost of food is a key factor influencing intake. Public health strategies may need to consider strategies to make healthy food more affordable for some.
To evaluate the effectiveness of a complex intervention implementing best practice guidelines recommending clinicians screen and counsel young people across multiple psychosocial risk factors, on ...clinicians' detection of health risks and patients' risk taking behaviour, compared to a didactic seminar on young people's health.
Pragmatic cluster randomised trial where volunteer general practices were stratified by postcode advantage or disadvantage score and billing type (private, free national health, community health centre), then randomised into either intervention or comparison arms using a computer generated random sequence. Three months post-intervention, patients were recruited from all practices post-consultation for a Computer Assisted Telephone Interview and followed up three and 12 months later. Researchers recruiting, consenting and interviewing patients and patients themselves were masked to allocation status; clinicians were not.
General practices in metropolitan and rural Victoria, Australia.
General practices with at least one interested clinician (general practitioner or nurse) and their 14-24 year old patients.
This complex intervention was designed using evidence based practice in learning and change in clinician behaviour and general practice systems, and included best practice approaches to motivating change in adolescent risk taking behaviours. The intervention involved training clinicians (nine hours) in health risk screening, use of a screening tool and motivational interviewing; training all practice staff (receptionists and clinicians) in engaging youth; provision of feedback to clinicians of patients' risk data; and two practice visits to support new screening and referral resources. Comparison clinicians received one didactic educational seminar (three hours) on engaging youth and health risk screening.
Primary outcomes were patient report of (1) clinician detection of at least one of six health risk behaviours (tobacco, alcohol and illicit drug use, risks for sexually transmitted infection, STI, unplanned pregnancy, and road risks); and (2) change in one or more of the six health risk behaviours, at three months or at 12 months. Secondary outcomes were likelihood of future visits, trust in the clinician after exit interview, clinician detection of emotional distress and fear and abuse in relationships, and emotional distress at three and 12 months. Patient acceptability of the screening tool was also described for the intervention arm. Analyses were adjusted for practice location and billing type, patients' sex, age, and recruitment method, and past health risks, where appropriate. An intention to treat analysis approach was used, which included multilevel multiple imputation for missing outcome data.
42 practices were randomly allocated to intervention or comparison arms. Two intervention practices withdrew post allocation, prior to training, leaving 19 intervention (53 clinicians, 377 patients) and 21 comparison (79 clinicians, 524 patients) practices. 69% of patients in both intervention (260) and comparison (360) arms completed the 12 month follow-up. Intervention clinicians discussed more health risks per patient (59.7%) than comparison clinicians (52.7%) and thus were more likely to detect a higher proportion of young people with at least one of the six health risk behaviours (38.4% vs 26.7%, risk difference RD 11.6%, Confidence Interval CI 2.93% to 20.3%; adjusted odds ratio OR 1.7, CI 1.1 to 2.5). Patients reported less illicit drug use (RD -6.0, CI -11 to -1.2; OR 0.52, CI 0.28 to 0.96), and less risk for STI (RD -5.4, CI -11 to 0.2; OR 0.66, CI 0.46 to 0.96) at three months in the intervention relative to the comparison arm, and for unplanned pregnancy at 12 months (RD -4.4; CI -8.7 to -0.1; OR 0.40, CI 0.20 to 0.80). No differences were detected between arms on other health risks. There were no differences on secondary outcomes, apart from a greater detection of abuse (OR 13.8, CI 1.71 to 111). There were no reports of harmful events and intervention arm youth had high acceptance of the screening tool.
A complex intervention, compared to a simple educational seminar for practices, improved detection of health risk behaviours in young people. Impact on health outcomes was inconclusive. Technology enabling more efficient, systematic health-risk screening may allow providers to target counselling toward higher risk individuals. Further trials require more power to confirm health benefits.
ISRCTN.com ISRCTN16059206.