20 research outputs found

    Self-harm in East London adolescents

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    PhDThe prevalence of adolescent self-harm is higher in the community compared with self-harm monitored through service use, as only a minority of young people seek help. There has been limited longitudinal community-based research on adolescent self-harm, particularly in ethnic minorities. This research aimed to explore self-harm in an ethnically diverse sample of adolescents, with particular focus on social and psychological factors. Two studies were conducted with a sample of East London adolescents to examine the prevalence, risk and protective factors for self-harm, and to explore how young people talk about self-harm. The first involved analysis of longitudinal data from Phases 2 and 3 of RELACHS, a school-based study on adolescent health. In Phase 3, 1023 participants aged15-16 completed self-report surveys. The second, qualitative study explored self-harm in the context of East London adolescent life. Thirty interviews were conducted with 15-16 year olds, 20 of whom had self-harmed. The 12 month prevalence of self-harm was 10.6% for girls and 3.4% for boys (7.3% in total). Regression analysis showed self-harm was strongly associated with current and previous depressive symptoms, conduct problems, low support from family, low parental warmth and high maternal strictness. Relationships with borderline psychological distress indicate that self-harm is not limited to those with serious mental health problems. The qualitative study showed that definitions and experiences of self-harm varied. It was viewed as difficult to comprehend by those who had never done it, and also some who had. Many participants were hesitant to identify themselves as having self-harmed and explained reluctance to disclose self-harm to others. The qualitative study showed no evidence that self-harm was more acceptable in any ethnic group. However, for some, family and cultural restrictions exacerbated other stressors. The results of these two studies complement each other, providing further insight into self-harm in East London adolescents. Findings could inform the development of an intervention about self-harm and emotional well being for adolescents

    What are the reasons for clinical network success? A qualitative study

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    Background Clinical networks have been established to improve patient outcomes and processes of care by implementing a range of innovations and undertaking projects based on the needs of local health services. Given the significant investment in clinical networks internationally, it is important to assess their effectiveness and sustainability. This qualitative study investigated the views of stakeholders on the factors they thought were influential in terms of overall network success. Method Ten participants were interviewed using face-to-face, audio-recorded semi-structured interviews about critical factors for networks’ successes over the study period 2006–2008. Respondents were purposively selected from two stakeholder groups: i) chairs of networks during the study period of 2006–2008 from high- moderate- and low-impact networks (as previously determined by an independent review panel) and ii) experts in the clinical field of the network who had a connection to the network but who were not network members. Participants were blind to the performance of the network they were interviewed about. Transcribed data were coded and analysed to generate themes relating to the study aims. Results Themes relating to influential factors critical to network success were: network model principles; leadership; formal organisational structures and processes; nature of network projects; external relationships; profile and credibility of the network. Conclusions This study provides clinical networks with guidance on essential factors for maximising optimal network outcomes and that may assist networks to move from being a ’low-impact’ to ‘high-impact’ network. Important ingredients for successful clinical networks were visionary and strategic leadership with strong links to external stakeholders; and having formal infrastructure and processes to enable the development and management of work plans aligned with health priorities

    Determinants of successful clinical networks : The conceptual framework and study protocol

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    Background Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. Methods/Design The objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. Discussion This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks

    The effects of introducing peer support to young people with a chronic illness

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    Peer support groups have been an increasingly popular way of limiting the adverse effects of life with a chronic illness for adolescents although few groups have been rigorously evaluated. This paper reports the findings of a realistic evaluation of a hospital based peer support program Chronic Illness Peer Support (ChIPS), in Sydney, Australia. We collected qualitative interview and focus group data from four participant groups; new ChIPS members, their parents, older members who had been in ChIPS for two or more years, and ChIPS co-ordinators past and present. Results of qualitative data have been aggregated and organised into three categories; program attendance: getting in and staying in; program outcomes for young people: personal growth and development; and social connection. Questionnaires were also administered to fourteen new ChIPS members but no significant changes in distress or self-esteem were recorded between the beginning and the end of the short study period. The ChIPS Introductory Program fulfilled its aim, entering young people with chronic illness into the peer support program. There was evidence of initial personal growth and development in those young people, with potential for enhanced social connection from ongoing participation in ChIPS activities

    Development and validation of a survey to measure features of clinical networks

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    BACKGROUND Networks of clinical experts are increasingly being implemented as a strategy to improve health care processes and outcomes and achieve change in the health system. Few are ever formally evaluated and, when this is done, not all networks are equally successful in their efforts. There is a need to formatively assess the strategic and operational management and leadership of networks to identify where functioning could be improved to maximise impact. This paper outlines the development and psychometric evaluation of an Internet survey to measure features of clinical networks and provides descriptive results from a sample of members of 19 diverse clinical networks responsible for evidence-based quality improvement across a large geographical region. METHODS Instrument development was based on: a review of published and grey literature; a qualitative study of clinical network members; a program logic framework; and consultation with stakeholders. The resulting domain structure was validated for a sample of 592 clinical network members using confirmatory factor analysis. Scale reliability was assessed using Cronbach's alpha. A summary score was calculated for each domain and aggregate level means and ranges are reported. RESULTS The instrument was shown to have good construct validity across seven domains as demonstrated by a high level of internal consistency, and all Cronbach's α coefficients were equal to or above 0.75. In the survey sample of network members there was strong reported commitment and belief in network-led quality improvement initiatives, which were perceived to have improved quality of care (72.8 %) and patient outcomes (63.2 %). Network managers were perceived to be effective leaders and clinical co-chairs were perceived as champions for change. Perceived external support had the lowest summary score across the seven domains. CONCLUSIONS This survey, which has good construct validity and internal reliability, provides a valid instrument to use in future research related to clinical networks. The survey will be of use to health service managers to identify strengths and areas where networks can be improved to increase effectiveness and impact on quality of care and patient outcomes. Equally, the survey could be adapted for use in the assessment of other types of networks.This research was funded by the National Health and Medical Research Council of Australia (NHMRC) through its partnership project grant scheme (Grant ID: 571447). The Agency for Clinical Innovation also provided funds to support this research as part of the NHMRC partnership project grant scheme

    The EXpert PANel Decision (EXPAND) method: a way to measure the impact of diverse quality improvement activities of clinical networks

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    Objectives and importance of study: Evaluating impacts of quality improvement activities across diverse clinical focus areas is challenging. However, evaluation is necessary to determine if the activities had an impact on quality of care and resulted in system-wide change. Clinical networks of health providers aim to provide a platform for accelerating quality improvement activities and adopting evidence based practices. However, most networks do not collect primary data that would enable evaluation of impact. We adapted an established expert panel approach to measure the impacts of efforts in 19 clinical networks to improve care and promote health system change, to determine whether these efforts achieved their purpose. Study type: A retrospective cross-sectional study of 19 clinical networks using multiple methods of data collection including the EXpert PANel Decision (EXPAND) method. Methods: Network impacts were identified through interviews with network managers (n = 19) and co-chairs (n = 32), and document review. The EXPAND method brought together five independent experts who provided initial individual ratings of overall network impact. After attendance at an in-person moderated meeting where aggregate scores were discussed, the experts provided a final rating. Median scores of postmeeting ratings were the final measures of network impact. Results: Among the 19 clinical networks, experts rated 47% (n = 9) as having a limited impact on improving quality of care, 37% (n = 7) as having a moderate impact and 16% (n = 3) as having a high impact. The experts rated 26% (n = 5) of clinical networks as having a limited impact on facilitating system-wide change, 37% (n = 7) as having a moderate impact and 37% (n = 7) as having a high impact. Conclusion: The EXPAND method enabled appraisal of diverse clinical networks in the absence of primary data that could directly evaluate network impacts. The EXPAND method can be applied to assess the impact of quality improvement initiatives across diverse clinical areas to inform healthcare planning, delivery and performance. Further research is needed to assess its reliability and validity

    Intimate partner violence screening and response in New South Wales emergency departments: A multi-site feasibility study

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    2020 Australasian College for Emergency Medicine Objective: To test feasibility of a systematic approach to routine screening and response for intimate partner violence among women presenting to three New South Wales EDs. Methods: This prospective feasibility study was conducted over 6 months in two rural and one major tertiary metropolitan ED in New South Wales. Women aged 16-45 years triaged category 3-5 (treat within 30 min/1 h/2 h), who could be approached privately, were screened for intimate partner violence using the validated HITS (Hurts, Insults, Threatens and Screams or Swears) tool. The follow-up protocol for patients who disclosed abuse, specified a social work/psychology (psychosocial) response within 1 h. Outcomes of interest were screening rates of eligible presentations, disclosures of abuse, psycho-social referral and responses. Interviews conducted with ED medical directors and nurse unit managers at each site explored barriers and facilitators. Results: A total of 1047 women (11.4% of eligible presentations) completed screening at their first or subsequent presentation. Of 868 women screened on first presentation, 18% (n = 154) disclosed intimate partner violence, with no significant differences by age group, country of birth, triage category or time/day of arrival. Key barriers to screening were high patient volume, absence of electronic prompts and lack of privacy. Of those who screened positive 49% (n = 75) received an immediate, on-site psycho-social response. Conclusion: The present study demonstrates that it is both possible and relevant, given the 18% disclosure rate, to screen women in relation intimate partner violence in EDs and provide a psycho-social response within 1 h. More needs to be done to address barriers to screening to provide opportunities for early intervention

    Determinants of successful clinical networks: the conceptual framework and study protocol

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    Abstract Background Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. Methods/Design The objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. Discussion This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks.</p
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