950 resultados para Community Health and Preventive Medicine


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The Australian community health sector has undergone extensive organisational reform in recent times, and, in the push to enhance efficiencies and contain costs, there are indications that these changes may have undermined the wellbeing of community health personnel and their ability to provide high quality illness-prevention services. The aim of this study was to examine the working environments experienced by community health service employees and identify conditions that are predictive of employee stress. The study was guided by a tailored version of the demand-control-support model, whereby the generic components of the model had been augmented by more situation-specific stressors. The results of multiple regression analyses indicated that job control, and, to a lesser extent, social support, were closely associated with the outcome variables (psychological health, job satisfaction and organisational commitment). The more situation-specific stressors also accounted for significant proportions of explained variance. Overall, the results suggest that working conditions, particularly job control, social support and specific job stressors, offer valuable opportunities for protecting and enhancingthe wellbeing of community health service personnel.

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Objective : To describe time adolescents spend using electronic media (television, computer, video games, and telephone); and to examine associations between self-reported health/well-being and daily time spent using electronic media overall and each type of electronic media.

Methods :
Design–Cross-sectional data from the third (2005) wave of the Health of Young Victorians Study, an Australian school-based population study. Outcome Measures–Global health, health-related quality of life (HRQoL; KIDSCREEN), health status (Pediatric Quality of Life Inventory 4.0; PedsQL), depression/anxiety (Kessler-10), and behavior problems (Strengths and Difficulties Questionnaire). Exposure Measures–Duration of electronic media use averaged over 1 to 4 days recalled with the Multimedia Activity Recall for Children and Adolescents (MARCA) computerized time-use diary. Analysis–Linear and logistic regression; adjusted for demographic variables and body mass index z score.

Results :
A total of 925 adolescents (mean ± standard deviation age, 16.1 ± 1.2 years) spent, on average, 3 hours 16 minutes per day using electronic media (television, 128 minutes per day; video games, 35; computers, 19; telephone, 13). High overall electronic media use was associated with poorer behavior, health status, and HRQoL. Associations with duration of specific media exposures were mixed; there was a favorable association between computer use (typing/Internet) and psychological distress, whereas high video game use was associated with poorer health status, HRQoL, global health, and depression/anxiety. Television and telephone durations were not associated with any outcome measure.

Conclusions :
Despite television's associations with obesity, time spent in other forms of media use appear more strongly related to adolescent health and well-being. This study supports efforts to reduce high video game use and further exploration of the role of computers in health enhancement.

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Provides a critical analysis of trends in health policy which are impacting on the role and practice of generalist community nurses in Victoria. The thesis draws on critical social theory to research and analyse trends in health policy in relation to the Community Health Program.

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Mental health issues such as depression or anxiety and alcohol or other drug (AOD) problems often remain undiagnosed and untreated despite their prevalence in the community. This paper reports on the implementation and evaluation of an AOD and depression/anxiety screening programme within two Community Health Services (CHS) in Australia. Study 1 examined results from 5 weeks of screening (March–April 2008) using the Patient Health Questionnaire (two- and nine-item, Kroenke et al. 2001, 2003), the Conjoint Screen for Alcohol and other Drug Problems (Brown et al. 2001) and the Alcohol, Smoking and Substance Involvement Screening Test (Humeniuk & Ali 2006). Of the 55 clients screened, 33% were at risk of depression or anxiety, 22% reporting moderate-severe depression. Thirteen per cent were at risk of substance use disorders. A substantial proportion of at-risk clients were not currently accessing help for these issues from the CHS and therefore screening can facilitate identification and treatment referral. However, the majority of eligible clients were not screened, limiting screening reach. A second study evaluated the screening implementation from a process perspective via thematic analysis of focus group data from six managers and 14 intake/assessment workers (April 2008). This showed that when screening occurred, it facilitated opportunities for education and intervention with at-risk clients, although cultural mores, privacy concerns and shame/stigma could affect accuracy of screen scores at times. Importantly, the evaluation revealed that most decisions not to screen were made by workers, not by clients. Reasons for non-screening related to worker discomfort in asking sensitive questions and/or managing client distress, and a reluctance to spend long periods of time screening in time-pressured environments. The evaluation suggested that these problems could be resolved by splitting screening responsibilities, enhancing worker training and expanding follow-up screening. Findings will inform any community-based health system considering introducing screening.

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Issue addressed: 

The aim of this project was to identify effective recruitment and retention strategies used by health-promotion organisations that focus on increasing physical activity and improving nutrition within the local community.

Methods:
Semistructured telephone or face-to-face interviews with 25 key informants from stakeholder organisations were conducted. Key informants discussed strategies used by their organisation to effectively recruit and retain participants into community-based healthy eating and/or physical activity programs. Transcribed data were analysed with NVivo software.

Results:
Effective recruitment strategies included word of mouth, links with organisations, dissemination of printed materials, media, referrals, cross-promotion of programs and face-to-face methods. Effective retention strategies included encouraging a sense of community ownership, social opportunities, recruiting a suitable leader and offering flexibility and support. Fees and support for recruiting and retaining participants was also identified.

Conclusion:
This study provides novel insights to a greatly under researched topic in the field of health promotion. There are two key take-home messages from the present study that are applicable to health practitioners as well as developers and deliverers of community health-promotion programs: (1) it is imperative that all community health organisations report on the effectiveness of their recruitment and retention, both successes and failures; and (2) there is a clear need to tailor the recruitment and retention approach to the target population and the setting the program is occurring in.

So what?
These findings provide important insights for the development of future community-based healthy eating and physical activity programs.