176 research outputs found

    Employer Perspectives of Workplace Health Promotion

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    This report presents the findings of a qualitative study exploring the views of a small group of employers (n=25) about WHP, in particular the value and priority placed on promoting employee health, who should be responsible, as well as key barriers and facilitators. Interviews also aimed to gain an understanding of how workplace health programs and activities are currently being implemented by workplaces. The findings provide important preliminary insights into the key issues to be addressed when implementing health promotion programs in the workplace

    Results of a Survey on Workplace Health Promotion in Businesses in Lithgow

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    In partnership with the Nepean Blue Mountains and Western Sydney Local Health Districts, a survey on workplace health promotion (WHP) was developed and piloted in workplaces in the Lithgow local government area in 2011. This document reports on the development, administration and findings of the survey

    Developing Civic Identity Amongst Middle School Students in Northern Chicago

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    Civic engagement programs allow students to develop confidence, passion, and a sense of responsibility toward their community. In a program like Summer Civics Academy at Loyola University Chicago, students are provided with a space for dialogue about the social problems they see in their community and given the resources to try and work towards a solution. Students provided with this type of engaged learning experience are thus encouraged to be a part of our democratic system in the future. Our focus on critical civic engagement attempted to build student skills in identity building, intercultural learning and collective social action. More importantly, students learn to look at policy not as a passive bystander, but as an active participant who has the ability to create change. Summer Civics Academy and programs like it hold substantial benefits for middle school students in urban contexts, where issues of race, nationality, and identity development are often brought to the forefront

    Differences between mothers and fathers of young children in their Use of the internet to support healthy family lifestyle behaviors : Cross-sectional study

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    Background: In early life, both mothers and fathers are important influences on their children’s diet, active play, and obesity risk. Parents are increasingly relying on the internet and social media as a source of information on all aspects of parenting. However, little is known about the use of Web-based sources of information relevant to family lifestyle behaviors and, in particular, differences between mothers’ and fathers’ use and sociodemographic predictors. Objective: The objective of this study was to examine if mothers and fathers differ in their use of the internet for information on their own health and their child’s health, feeding, and playing and to examine sociodemographic predictors of the use of the internet for information on these topics. Methods: We conducted a secondary analysis on data collected from mothers (n=297) and fathers (n=207) participating in the extended Infant Feeding, Activity and Nutrition Trial (InFANT Extend) when their children were 36 months of age. The main outcome variables were the use of the internet for information gathering for parents’ own health and child health, feeding, and playing. Binary logistic regression was used to examine the sociodemographic predictors of outcomes. Results: Compared with fathers (n=296), a higher proportion of mothers (n=198) used the internet for information on their own health (230, 78.5% vs 93, 46.5%), child health (226, 77.1% vs 84, 42.4%), child feeding (136, 46.3% vs 35, 17.5%), and child play (123, 42.1% vs 28, 14.0%) and intended to use Facebook to connect with other parents (200, 74.9% vs 43, 30.5%). Despite the high use of the internet to support family health behaviors, only 15.9% (47/296) of mothers reported consulting health practitioners for advice and help for their own or their child’s weight, diet, or physical activity. Sociodemographic predictors of internet use differed between mothers and fathers and explained only a small proportion of the variance in internet use to support healthy family lifestyle behaviors. Conclusions: Our findings support the use of the internet and Facebook as an important potential avenue for reaching mothers with information relevant to their own health, child health, child diet, and active play. However, further research is required to understand the best avenues for engaging fathers with information on healthy family lifestyle behaviors to support this important role in their child’s life. Trial Registration: ISRCTN Registry ISRCTN81847050; http://www.isrctn.com/ISRCTN8184705

    Explaining the variation in the management of lifestyle risk factors in primary health care: a multilevel cross sectional study

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    BackgroundDespite evidence for the effectiveness of interventions to modify lifestyle behaviours in the primary health care (PHC) setting, assessment and intervention for these behaviours remains low in routine practice. Little is known about the relative importance of various determinants of practice.This study aimed to examine the relative importance of provider characteristics and attitudes, patient characteristics and consultation factors in determining the rate of assessment and intervention for lifestyle risk factors in PHC.MethodsA prospective audit of assessment and intervention for lifestyle risk factors was undertaken by PHC nurses and allied health providers (n = 57) for all patients seen (n = 732) over a two week period. Providers completed a survey to assess key attitudes related to addressing lifestyle issues. Multi-level logistic regression analysis of patient audit records was undertaken. Associations between variables from both data sources were examined, together with the variance explained by patient and consultation (level 1) and provider (level 2) factors.ResultsThere was significant variance between providers in the assessment and intervention for lifestyle risk factors. The consultation type and reason for the visit were the most important in explaining the variation in assessment practices, however these factors along with patient and provider variables accounted for less than 20% of the variance. In contrast, multi-level models showed that provider factors were most important in explaining the variance in intervention practices, in particular, the location of the team in which providers worked (urban or rural) and provider perceptions of their effectiveness and accessibility of support services. After controlling for provider variables, patients\u27 socio-economic status, the reason for the visit and providers\u27 perceptions of the \u27appropriateness\u27 of addressing risk factors in the consultation were all significantly associated with providing optimal intervention. Together, measured patient consultation and provider variables accounted for most (80%) of the variation in intervention practices between providers.ConclusionThe findings highlight the importance of provider factors such as beliefs and attitudes, team location and work context in understanding variations in the provision of lifestyle intervention in PHC. Further studies of this type are required to identify variables that improve the proportion of variance explained in assessment practices

    An exploration of how clinician attitudes and beliefs influence the implementation of lifestyle risk factor management in primary healthcare: a grounded theory study

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    BackgroundDespite the effectiveness of brief lifestyle intervention delivered in primary healthcare (PHC), implementation in routine practice remains suboptimal. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about the process by which clinicians\u27 perceptions shape implementation. This study aims to describe a theoretical model to understand how clinicians\u27 perceptions shape the implementation of lifestyle risk factor management in routine practice. The implications of the model for enhancing practices will also be discussed.MethodsThe study analysed data collected as part of a larger feasibility project of risk factor management in three community health teams in New South Wales (NSW), Australia. This included journal notes kept through the implementation of the project, and interviews with 48 participants comprising 23 clinicians (including community nurses, allied health practitioners and an Aboriginal health worker), five managers, and two project officers. Data were analysed using grounded theory principles of open, focused, and theoretical coding and constant comparative techniques to construct a model grounded in the data.ResultsThe model suggests that implementation reflects both clinician beliefs about whether they should (commitment) and can (capacity) address lifestyle issues. Commitment represents the priority placed on risk factor management and reflects beliefs about role responsibility congruence, client receptiveness, and the likely impact of intervening. Clinician beliefs about their capacity for risk factor management reflect their views about self-efficacy, role support, and the fit between risk factor management ways of working. The model suggests that clinicians formulate different expectations and intentions about how they will intervene based on these beliefs about commitment and capacity and their philosophical views about appropriate ways to intervene. These expectations then provide a cognitive framework guiding their risk factor management practices. Finally, clinicians\u27 appraisal of the overall benefits versus costs of addressing lifestyle issues acts to positively or negatively reinforce their commitment to implementing these practices.ConclusionThe model extends previous research by outlining a process by which clinicians\u27 perceptions shape implementation of lifestyle risk factor management in routine practice. This provides new insights to inform the development of effective strategies to improve such practices

    Factors influencing parental engagement in an early childhood obesity prevention program implemented at scale: the Infant Program

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    The ‘early years’ is a crucial period for the prevention of childhood obesity. Health services are well placed to deliver preventive programs to families, however, they usually rely on voluntary attendance, which is challenging given low parental engagement. This study explored factors influencing engagement in the Infant Program: a group-based obesity prevention program facilitated by maternal and child health nurses within first-time parent groups. Six 1.5 h sessions were delivered at three-month intervals when the infants were 3–18 months. A multi-site qualitative exploratory approach was used, and program service providers and parents were interviewed. Numerous interrelated factors were identified, linked to two themes: the transition to parenthood, and program processes. Personal factors enabling engagement included parents’ heightened need for knowledge, affirmation and social connections. Adjusting to the baby’s routine and increased parental self-efficacy were associated with diminished engagement. Organisational factors that challenged embedding program delivery into routine practice included aspects of program promotion, referral and scheduling and workforce resources. Program factors encompassed program content, format, resources and facilitators, with the program being described as meeting parental expectations, although some messages were perceived as difficult to implement. The study findings provide insight into potential strategies to address modifiable barriers to parental engagement in early-year interventions

    Obesity prevention in infants using m-Health: the Growing Healthy program

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    About one quarter of Australian pre-school children are overweight. Early childhood is an important period for establishing behaviours that will affect weight gain and health across the life course. Early feeding choices, including breast and/or formula, timing of introduction of solids, physical activity and electronic media use among infants and young children are considered likely determinants of childhood obesity. Parents play a primary role in shaping these behaviours through parental modelling, feeding styles and the food and physical activity environments provided. Children from low socio-economic backgrounds have higher rates of obesity making early intervention particularly important. However, such families are often more difficult to reach and may be less likely to participate in traditional programs that support healthy behaviours. Parents across all socio-demographic groups frequently access primary health care (PHC) services including nurses in community health services and general practices, providing unparalleled opportunity for engagement to influence family behaviours. One emerging and promising area that might maximise engagement at a low cost is the provision of support for healthy parenting through electronic media such as the Internet or smart phones. This is referred to as mobile or m-health. The Growing Healthy study aimed to explore the feasibility of providing information and support for healthy parenting through electronic media in the form of an application for smart phones (app) and a website. Our background research suggested this as an emerging and promising area for engagement with families with young children and may provide a referral option for primary health care providers. It is also an intervention with a relatively low cost and potential for high reach. As families with young children have high levels of engagement with PHC services, these could be leveraged to recruit study participants via referral to the app. Complementing and not replacing the information and support provided by these existing primary health care services was an important objective as was ensuring the online information and support aligned with that provided by primary health care services and national guidelines. The aim was to make the app a ‘trusted source’ of information and support for families with children from birth to nine months of age.The research reported in this paper is a project of the Australian Primary Health Care Research Institute which is supported by a grant from the Australian Government Department of Health and Ageing under the Primary Health Care Research Evaluation and Development Strategy

    Factors influencing participation in a vascular disease prevention lifestyle program among participants in a cluster randomized trial

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    BackgroundPrevious research suggests that lifestyle intervention for the prevention of diabetes and cardiovascular disease (CVD) are effective, however little is known about factors affecting participation in such programs. This study aims to explore factors influencing levels of participation in a lifestyle modification program conducted as part of a cluster randomized controlled trial of CVD prevention in primary care.MethodsThis concurrent mixed methods study used data from the intervention arm of a cluster RCT which recruited 30 practices through two rural and three urban primary care organizations. Practices were randomly allocated to intervention (n = 16) and control (n = 14) groups. In each practice up to 160 eligible patients aged between 40 and 64 years old, were invited to participate. Intervention practice staff were trained in lifestyle assessment and counseling and referred high risk patients to a lifestyle modification program (LMP) consisting of two individual and six group sessions over a nine month period. Data included a patient survey, clinical audit, practice survey on capacity for preventive care, referral and attendance records at the LMP and qualitative interviews with Intervention Officers facilitating the LMP. Multi-level logistic regression modelling was used to examine independent predictors of attendance at the LMP, supplemented with qualitative data from interviews with Intervention Officers facilitating the program.ResultsA total of 197 individuals were referred to the LMP (63% of those eligible). Over a third of patients (36.5%) referred to the LMP did not attend any sessions, with 59.4% attending at least half of the planned sessions. The only independent predictors of attendance at the program were employment status - not working (OR: 2.39 95% CI 1.15-4.94) and having high psychological distress (OR: 2.17 95% CI: 1.10-4.30). Qualitative data revealed that physical access to the program was a barrier, while GP/practice endorsement of the program and flexibility in program delivery facilitated attendance.ConclusionBarriers to attendance at a LMP for CVD prevention related mainly to external factors including work commitments and poor physical access to the programs rather than an individuals’ health risk profile or readiness to change. Improving physical access and offering flexibility in program delivery may enhance future attendance. Finally, associations between psychological distress and attendance rates warrant further investigation
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