scholarly journals Effects of a demand-led evidence briefing service on the uptake and use of research evidence by commissioners of health services: a controlled before-and-after study

2017 ◽  
Vol 5 (5) ◽  
pp. 1-138 ◽  
Author(s):  
Paul M Wilson ◽  
Kate Farley ◽  
Liz Bickerdike ◽  
Alison Booth ◽  
Duncan Chambers ◽  
...  

BackgroundThe Health and Social Care Act 2012 (Great Britain.Health and Social Care Act 2012. London: The Stationery Office; 2012) has mandated research use as a core consideration of health service commissioning arrangements. We evaluated whether or not access to a demand-led evidence briefing service improved the use of research evidence by commissioners, compared with less intensive and less targeted alternatives.DesignControlled before-and-after study.SettingClinical Commissioning Groups (CCGs) in the north of England.Main outcome measuresChange at 12 months from baseline of a CCG’s ability to acquire, assess, adapt and apply research evidence to support decision-making. Secondary outcomes measured individual clinical leads’ and managers’ intentions to use research evidence in decision-making.MethodsNine CCGs received one of three interventions: (1) access to an evidence briefing service; (2) contact plus an unsolicited push of non-tailored evidence; or (3) an unsolicited push of non-tailored evidence. Data for the primary outcome measure were collected at baseline and 12 months post intervention, using a survey instrument devised to assess an organisation’s ability to acquire, assess, adapt and apply research evidence to support decision-making. In addition, documentary and observational evidence of the use of the outputs of the service was sought and interviews with CCG participants were undertaken.ResultsMost of the requests were conceptual; they were not directly linked to discrete decisions or actions but were intended to provide knowledge about possible options for future actions. Symbolic use to justify existing decisions and actions were less frequent and included a decision to close a walk-in centre and to lend weight to a major initiative to promote self-care already under way. The opportunity to impact directly on decision-making processes was limited to work to establish disinvestment policies. In terms of impact overall, the evidence briefing service was not associated with increases in CCGs’ capacity to acquire, assess, adapt and apply research evidence to support decision-making, individual intentions to use research findings or perceptions of CCGs’ relationships with researchers. Regardless of the intervention received, at baseline participating CCGs indicated that they felt that they were inconsistent in their research-seeking behaviours and their capacity to acquire research remained so at follow-up. The informal nature of decision-making processes meant that there was little or no traceability of the use of evidence.LimitationsLow baseline and follow-up response rates (of 68% and 44%, respectively) and missing data limit the reliability of these findings.ConclusionsAccess to a demand-led evidence briefing service did not improve the uptake and use of research evidence by NHS commissioners compared with less intensive and less targeted alternatives. Commissioners appear to be well intentioned but ad hoc users of research.Future workFurther research is required on the effects of interventions and strategies to build individual and organisational capacity to use research. Resource-intensive approaches to providing evidence may best be employed to support instrumental decision-making. Comparative evaluation of the impact of less intensive but targeted strategies on the uptake and use of research by commissioners is warranted.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

PLoS ONE ◽  
2011 ◽  
Vol 6 (7) ◽  
pp. e21704 ◽  
Author(s):  
Lois Orton ◽  
Ffion Lloyd-Williams ◽  
David Taylor-Robinson ◽  
Martin O'Flaherty ◽  
Simon Capewell

2018 ◽  
Vol 1 (2) ◽  
pp. 1-19
Author(s):  
Gilberta Permata Mahanani ◽  
Fivi Nurwianti

Self-esteem merupakan sebuah proses kognitif akan evaluasi seseorang akan seberapa berharga atau bernilai dirinya sebagai individu. Pendekatan kognitif perilaku merupakan pendekatan yang paling sering digunakan dalam berbagai intervensi terkait permasalahan self-esteem. Fokus dalam intervensi kognitif perilaku adalah mengubah persepsi individu, sehingga diasumsikan dapat sesuai untuk menangani permasalahan self-esteem. Pelaksanaan intervensi dalam kelompok dipilih karena memungkinkan partisipan untuk mengatasi masalah secara bersama-sama sehingga setiap partisipan akan memperoleh dampak positif dari interaksi yang muncul dalam kelompok.Tujuan dari penelitian ini adalah untuk melihat efektivitas pelaksanaan intervensi kognitif-perilaku yang diterapkan dalam kelompok untuk meningkatkan self esteem. Peneliti menggunakan desain penelitian one group before-and-after study dalam tiga sesi intervensi kognitif-perilaku. Partisipan adalah 4 orang mahasiswi yang tinggal di Asrama Universitas X (M= 18.5 tahun) dengan tingkat self-esteem rendah. Pengukuran self-esteem dilakukan pada proses pre, post dan follow-up menggunakan Rosenberg Self-Esteem Scale. Hasil dari penelitian ini adalah 3 dari 4 partisipan mengalami peningkatan self-esteem. Peneliti mengasumsikan bahwa peningkatan self-esteem juga didukung oleh manajemen tugas yang baik dan kemampuan keterampilan sosial.


2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Ahmad Firas Khalid ◽  
John N. Lavis ◽  
Fadi El-Jardali ◽  
Meredith Vanstone

Abstract Background Humanitarian action in crisis zones is fraught with many challenges, including lack of timely and accessible research evidence to inform decision-making about humanitarian interventions. Evidence websites have the potential to address this challenge. Evidence Aid is the only evidence website designed for crisis zones that focuses on providing research evidence in the form of systematic reviews. The objective of this study is to explore stakeholders’ views of Evidence Aid, contributing further to our understanding of the use of research evidence in decision-making in crisis zones. Methods We designed a qualitative user-testing study to collect interview data from stakeholders about their impressions of Evidence Aid. Eligible stakeholders included those with and without previous experience of Evidence Aid. All participants were either currently working or have worked within the last year in a crisis zone. Participants were asked to perform the same user experience-related tasks and answer questions about this experience and their knowledge needs. Data were analysed using a deductive framework analysis approach drawing on Morville’s seven facets of the user experience — findability, usability, usefulness, desirability, accessibility, credibility and value. Results A total of 31 interviews were completed with senior decision-makers (n = 8), advisors (n = 7), field managers (n = 7), analysts/researchers (n = 5) and healthcare providers (n = 4). Participant self-reported knowledge needs varied depending on their role. Overall, participants did not identify any ‘major’ problems (highest order) and identified only two ‘big’ problems (second highest order) with using the Evidence Aid website, namely the lack of a search engine on the home page and that some full-text articles linked to/from the site require a payment. Participants identified seven specific suggestions about how to improve Evidence Aid, many of which can also be applied to other evidence websites. Conclusions Stakeholders in crisis zones found Evidence Aid to be useful, accessible and credible. However, they experienced some problems with the lack of a search engine on the home page and the requirement for payment for some full-text articles linked to/from the site.


Author(s):  
S. Ring

This chapter describes the activity-based methodology (ABM), an efficient and effective approach to-ward development and analysis of DoD integrated architectures that will enable them to align with and fully support decision-making processes and mission outcomes. ABM consists of a tool-independent disciplined approach to developing fully integrated, unambiguous, and consistent DODAF Operational, System, and Technical views in supporting both “as-is” architectures (where all current elements are known) and “to-be” architectures (where not all future elements are known). ABM enables architects to concentrate on the Art and Science of architectures—that is identifying core architecture elements, their views, how they are related together, and the resulting analysis used for decision-making purposes. ABM delivers significant architecture development productivity and quality gains by generating several DoDAF products and their elements from the core architecture elements. ABM facilitates the transition from integrated “static” architectures to executable “dynamic” process models for time-dependent assessments of complex operations and resource usage. Workflow steps for creating integrated architecture are detailed. Numerous architecture analysis strategies are presented that show the value of integrated architectures to decision makers and mission outcomes.


Author(s):  
Hector Florez

Enterprise models are created for communicating and documenting the current state of the enterprise. However, these models can also be used for supporting analysis processes and are fundamental assets in project management. But, analysis is a process made by humans, and due to enterprise models that are complex and have a large amount of elements, analysis is usually a tough process. Then modeling tools might provide support for analysis. It is possible to offer this support through the use of automated analysis methods, which are algorithms for providing specific calculations based on the elements included in the model. The results of said automated analysis methods support decision-making processes. It is also possible to execute a sequence of analysis methods by the configuration of analysis chains. This chapter presents a proposal and strategy for analyzing enterprise models by the execution of automated analysis methods and automated analysis chains. This strategy is presented using enterprise models that conform to ArchiMate as modeling language.


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