Abstract:
BACKGROUND:The effectiveness of many interventions to promote health and prevent disease has been well established. The imperative has therefore shifted from amassing evidence about efficacy to scale-up to maximise population-level health gains. Electronic implementation monitoring, or 'e-monitoring', systems have been designed to assist and track the delivery of preventive policies and programs. However, there is little evidence on whether e-monitoring systems improve the dissemination, adoption, and ongoing delivery of evidence-based preventive programs. Also, given considerable difficulties with e-monitoring systems in the clinical sector, scholars have called for a more sophisticated re-examination of e-monitoring's role in enhancing implementation. METHODS:In the state of New South Wales (NSW), Australia, the Population Health Information Management System (PHIMS) was created to support the dissemination of obesity prevention programs to 6000 childcare centres and elementary schools across all 15 local health districts. We have established a three-way university-policymaker-practice research partnership to investigate the impact of PHIMS on practice, how PHIMS is used, and how achievement of key performance indicators of program adoption may be associated with local contextual factors. Our methods encompass ethnographic observation, key informant interviews and participatory workshops for data interpretation at a state and local level. We use an on-line social network analysis of the collaborative relationships across local health district health promotion teams to explore the relationship between PHIMS use and the organisational structure of practice. DISCUSSION:Insights will be sensitised by institutional theory, practice theory and complex adaptive system thinking, among other theories which make sense of socio-technical action. Our working hypothesis is that the science of getting evidence-based programs into practice rests on an in-depth understanding of the role they play in the on-going system of local relationships and multiple accountabilities. Data will be synthesised to produce a typology to characterise local context, PHIMS use and key performance indicator achievement (of program implementation) across the 15 local health districts. Results could be used to continuously align e-monitoring technologies within quality improvement processes to ensure that such technologies enhance practice and innovation. A partnership approach to knowledge production increases the likelihood that findings will be put into practice.
journal_name
Implement Scijournal_title
Implementation science : ISauthors
Conte KP,Groen S,Loblay V,Green A,Milat A,Persson L,Innes-Hughes C,Mitchell J,Thackway S,Williams M,Hawe Pdoi
10.1186/s13012-017-0686-5subject
Has Abstractpub_date
2017-12-06 00:00:00pages
146issue
1issn
1748-5908pii
10.1186/s13012-017-0686-5journal_volume
12pub_type
杂志文章,多中心研究abstract:BACKGROUND:Implementation research is the scientific study of methods to promote the systematic uptake of clinical research findings into routine clinical practice. Several interventions have been shown to be effective in changing health care professionals' behaviour, but heterogeneity within interventions, targeted be...
journal_title:Implementation science : IS
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journal_title:Implementation science : IS
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journal_title:Implementation science : IS
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journal_title:Implementation science : IS
pub_type: 杂志文章,已发布勘误
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abstract:BACKGROUND:Strengthening primary healthcare systems is vital to improving health outcomes and reducing inequity. However, there are few tools and models available in published literature showing how primary care system strengthening can be achieved on a large scale. Challenges to strengthening primary healthcare (PHC) ...
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abstract:BACKGROUND:Significant gaps related to measurement issues are among the most critical barriers to advancing implementation science. Three issues motivated the study aims: (a) the lack of stakeholder involvement in defining pragmatic measure qualities; (b) the dearth of measures, particularly for implementation outcomes...
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pub_type: 杂志文章,多中心研究,随机对照试验
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journal_title:Implementation science : IS
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更新日期:2006-10-03 00:00:00
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journal_title:Implementation science : IS
pub_type: 杂志文章
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journal_title:Implementation science : IS
pub_type: 杂志文章,多中心研究,随机对照试验
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