scholarly journals Capability building for large-scale transformational change: learning from an evaluation of a national programme

2021 ◽  
Vol 10 (1) ◽  
pp. e000980
Author(s):  
Iain M Smith ◽  
Elaine Bayliss ◽  
Felix Mukoro

BackgroundThe Long Term Plan presents an ambitious vision for England’s National Health Service which will require a sustained programme of transformational change. The Virtual Academy of Large-Scale Change (VALSC) was developed to build capability in health and care system teams involved in transformation or redesign programmes.MethodsTo evaluate the VALSC, quantitative and qualitative data were collected and reviewed against the Kirkpatrick model. Quantitative data were collected via end-of-session surveys to assess individual knowledge before and after participating in capability-building interventions. Qualitative data were also collected and included post-intervention surveys and interviews. Interviews were transcribed and analysed using an inductive approach to identify themes that were subsequently assessed against the Kirkpatrick model.ResultsResults suggest that the VALSC programme has helped build capability for large-scale change in terms of learning, behaviour change and impact. Participants’ ipsative self-assessment of knowledge demonstrated a significant change (p<0.001) and qualitative data suggested three broad themes in which the VALSC made an impact. First, participants were empowered with transformation and change skills which they applied to local health and care challenges. Second, VALSC helped strengthen connections within and between transformational change teams. Third, VALSC helped transformational change teams to engage more effectively with their stakeholders.ConclusionsThe VALSC developed knowledge, skills, behavioural change and application impact that built capability in individuals and teams. Therefore, continuing to develop capability-building offers that empower and build agency in front-line staff working on service transformation and equip them with approaches, methods and tools to increase their chances of success, is recommended.

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Catherine M. Febria ◽  
Maggie Bayfield ◽  
Kathryn E. Collins ◽  
Hayley S. Devlin ◽  
Brandon C. Goeller ◽  
...  

In Aotearoa New Zealand, agricultural land-use intensification and decline in freshwater ecosystem integrity pose complex challenges for science and society. Despite riparian management programmes across the country, there is frustration over a lack in widespread uptake, upfront financial costs, possible loss in income, obstructive legislation and delays in ecological recovery. Thus, social, economic and institutional barriers exist when implementing and assessing agricultural freshwater restoration. Partnerships are essential to overcome such barriers by identifying and promoting co-benefits that result in amplifying individual efforts among stakeholder groups into coordinated, large-scale change. Here, we describe how initial progress by a sole farming family at the Silverstream in the Canterbury region, South Island, New Zealand, was used as a catalyst for change by the Canterbury Waterway Rehabilitation Experiment, a university-led restoration research project. Partners included farmers, researchers, government, industry, treaty partners (Indigenous rights-holders) and practitioners. Local capacity and capability was strengthened with practitioner groups, schools and the wider community. With partnerships in place, co-benefits included lowered costs involved with large-scale actions (e.g., earth moving), reduced pressure on individual farmers to undertake large-scale change (e.g., increased participation and engagement), while also legitimising the social contracts for farmers, scientists, government and industry to engage in farming and freshwater management. We describe contributions and benefits generated from the project and describe iterative actions that together built trust, leveraged and aligned opportunities. These actions were scaled from a single farm to multiple catchments nationally.


2020 ◽  
Vol 5 ◽  
pp. 265
Author(s):  
Mike English ◽  
Jacinta Nzinga ◽  
Grace Irimu ◽  
David Gathara ◽  
Jalemba Aluvaala ◽  
...  

In low and middle-income countries (LMIC) general hospitals are important for delivering some key acute care services. Neonatal care is emblematic of these acute services as averting deaths requires skilled care over many days from multiple professionals with at least basic equipment. However, hospital care is often of poor quality and large-scale change is needed to improve outcomes. In this manuscript we aim to show how we have drawn upon our understanding of contexts of care in Kenyan general hospital NBUs, and on social and behavioural theories that offer potential mechanisms of change in these settings, to develop an initial programme theory guiding a large scale change intervention to improve neonatal care and outcomes.  Our programme theory is an expression of our assumptions about what actions will be both useful and feasible.  It incorporates a recognition of our strengths and limitations as a research-practitioner partnership to influence change. The steps we employ represent the initial programme theory development phase commonly undertaken in many Realist Evaluations. However, unlike many Realist Evaluations that develop initial programme theories focused on pre-existing interventions or programmes, our programme theory informs the design of a new intervention that we plan to execute. Within this paper we articulate briefly how we propose to operationalise this new intervention. Finally, we outline the quantitative and qualitative research activities that we will use to address specific questions related to the delivery and effects of this new intervention, discussing some of the challenges of such study designs. We intend that this research on the intervention will inform future efforts to revise the programme theory and yield transferable learning.


2020 ◽  
Vol 5 ◽  
pp. 265
Author(s):  
Mike English ◽  
Jacinta Nzinga ◽  
Grace Irimu ◽  
David Gathara ◽  
Jalemba Aluvaala ◽  
...  

In low and middle-income countries (LMIC) general hospitals are important for delivering some key acute care services. Neonatal care is emblematic of these acute services as averting deaths requires skilled care over many days from multiple professionals with at least basic equipment. However, hospital care is often of poor quality and large-scale change is needed to improve outcomes. However, achieving large scale change in health systems remains challenging. To set the scene we first characterise the problems of hospital newborn units (NBU) in Kenya. We then combine our understanding of theory and context with reflection on our own position as an embedded research group with no formal authority to help us propose a feasible intervention strategy linked to in initial programme theory. We explain this programme theory and suggest how within a multi-level clinical professional network leaders at the ward or mid-level of hospital hierarchies are key potential change agents. In support of our programme theory we briefly outline and seek to integrate key ideas drawn from a wider set of theories. We propose how an intervention might be developed and employed in a phased approach to create the ownership, relationships and momentum that will be needed to achieve change at scale. Finally, we discuss the implications of such a strategy for our research design that is based on a prospective, in-depth case study that includes quantitative and qualitative data collection linked to specific sub-studies. We suggest using Realistic Evaluation to integrate our findings and develop an updated programme theory that should inform future large-scale change efforts before briefly discussing some of the challenges of evaluating a network as an intervention


2009 ◽  
Vol 15 (12) ◽  
pp. 580-585 ◽  
Author(s):  
Ruth Kennedy ◽  
Melanie Lawless ◽  
Beverley Slater

2004 ◽  
Vol 13 (2) ◽  
pp. 138-139 ◽  
Author(s):  
Sigrid S. Glenn ◽  
Maria E. Malott

1998 ◽  
Vol 10 (2) ◽  
pp. 17-21 ◽  
Author(s):  
Tim Kotnour ◽  
Saul Barton ◽  
Jim Jennings ◽  
Roy D. Bridges

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