Literature DB >> 28316558

Understanding and Evaluating the Implementation of Integrated Care: A 'Three Pipe' Problem.

Nick Goodwin1.   

Abstract

Entities:  

Year:  2016        PMID: 28316558      PMCID: PMC5354212          DOI: 10.5334/ijic.2609

Source DB:  PubMed          Journal:  Int J Integr Care            Impact factor:   5.120


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In their 2004 systematic review on the diffusion of innovations in service organizations, Greenhalgh et al concluded that there was a lack of any robust understanding in how complex health service innovations can be implemented and sustained (or not) across contexts and settings [1]. An underlying implication from this work was the need for more ‘realistic evaluation’ methodologies to help unpick how outcomes may result from the intricate interplay between multi-component interventions in different contexts and settings [2]. One such advance has been the recent development of the COMIC Model for the comprehensive evaluation of integrated care interventions [3]. Derived from work undertaken in the recently concluded EU-funded Project INTEGRATE [4], the COMIC Model (Context, Outcomes and Mechanisms of Integrated Care interventions) utilised the realistic synthesis approach to study the interplay between contexts, mechanisms and outcomes across selected case examples of integrated care, including for diabetes in Dutch Care Groups. The authors were able to demonstrate how such an approach brought insights into understanding how, when and why integrated care interventions influenced outcomes in these specific cases. As a conceptual tool, realistic synthesis provides a useful template to provide an in-depth narrative description of the various factors that may influence outcomes and, potentially, to then take the lessons from one evaluation and test them across a range of different contexts. Indeed, other work within Project INTEGRATE formulated a benchmarking tool by creating a set of generic factors influencing the implementation of integrated care that appears to have face validity across condition-specific groups (e.g. diabetes, COPD, geriatric conditions and mental health) and across different contexts and settings of deployment [4]. In this edition of IJIC, a special collection of perspective papers on the building blocks of integrated care has shed further light on some of the more critical components [5678910]. What these amply demonstrate is that the successful implementation of integrated care requires an effective composition of a complex set of interventions at the micro-, meso- and macro-levels. Moreover, effective implementation is as much relational as it is technical. In other words, the influence of pre-existing values, cultures, politics and relationships (both personal and organisational) play as much a significant part in influencing outcomes as the role of technical components such as governance structures, financial incentives, organisational and service models, workforce skills or the ability to engage and empower people in their care. The main conclusion to be reached is that, whilst we have come a long way in being able to articulate the key building blocks of integrated care, the interplay between them is so complex and intertwined that it seems an impossible challenge to create any simple implementation model. Yet, if integrated care is to advance, we must become better at smoothing over the many obstacles and challenges to implementation that have bedevilled the uptake and roll-out of even the most proven of integrated care interventions. This is quite the ‘three-pipe problem’ for integrated care since science has yet to make the real breakthrough to address Greenhalgh et al’s original challenge in how we might better understand the implementation and sustainability of complex innovations. Recent attempts [e.g. 311121314] have used a blend of realistic synthesis, behavioural theory and mixed-methods to understand implementation effectiveness. This ability to understand the effectiveness of implementation strategies is particularly important when it comes to planning and justifying investments. As Tsiachristas et al [15] argue in this edition of IJIC, designing economic evaluations for integrated care needs to embrace this complexity since existing approaches that focus on single, or reduced numbers, of implementation elements (and typically also screen out the more complex, multi-morbid and frail populations) will not provide the answers to today’s health and care system challenges. Some innovative conclusions are drawn, such as the potential use of cost-consequence analysis accompanied by Multi-Criteria Decision Analysis, but the future clearly requires further funding for methodological research as well as international collaboration since health care decision-makers need evidence on integrated care today. As Glasby [10] summarises, the future for integrated care requires partners in care to be much more clear about the purpose and outcomes that they are seeking to produce. Too often it can be the case that no real thinking has been made to the logic behind integrated care activities meaning that expectations are built upon false assumptions (or none at all). This may imply that efforts to promote integrated care are self-serving (e.g. to address a policy or management imperative) rather than being the ‘means to an end’ in improving care and outcomes for people. Glasby [10] also articulates the central point of this editorial that in integrated care it is often the more intangible qualities of complex interventions that make all the difference. Relationships and values matter whether they are at the interface between professionals and patients, within care teams, or between health and care organisations. Hence, in taking forward change towards integrated care, simultaneous innovation is needed in its technical aspects (e.g. service redesign) and its relational aspects (e.g. building support for change and the ability to collaborate). We are only just beginning to understand the challenging implications this brings for decision-makers tasked with leading and managing integrated care innovations in practice.
  5 in total

1.  Framework for design and evaluation of complex interventions to improve health.

Authors:  M Campbell; R Fitzpatrick; A Haines; A L Kinmonth; P Sandercock; D Spiegelhalter; P Tyrer
Journal:  BMJ       Date:  2000-09-16

Review 2.  Diffusion of innovations in service organizations: systematic review and recommendations.

Authors:  Trisha Greenhalgh; Glenn Robert; Fraser Macfarlane; Paul Bate; Olivia Kyriakidou
Journal:  Milbank Q       Date:  2004       Impact factor: 4.911

3.  A strategy for optimizing and evaluating behavioral interventions.

Authors:  Linda M Collins; Susan A Murphy; Vijay N Nair; Victor J Strecher
Journal:  Ann Behav Med       Date:  2005-08

4.  Evaluating the impact of health promotion programs: using the RE-AIM framework to form summary measures for decision making involving complex issues.

Authors:  Russell E Glasgow; Lisa M Klesges; David A Dzewaltowski; Paul A Estabrooks; Thomas M Vogt
Journal:  Health Educ Res       Date:  2006-08-31

5.  A rational model for assessing and evaluating complex interventions in health care.

Authors:  Carl May
Journal:  BMC Health Serv Res       Date:  2006-07-07       Impact factor: 2.655

  5 in total
  18 in total

1.  More than Just a Narrative: Measuring People's Experience of Care Coordination to Improve Quality and Outcomes.

Authors:  Nick Goodwin
Journal:  Int J Integr Care       Date:  2017-03-31       Impact factor: 5.120

2.  "Never at ease" - family carers within integrated palliative care: a multinational, mixed method study.

Authors:  Gülay Ateş; Anne Frederieke Ebenau; Csilla Busa; Ágnes Csikos; Jeroen Hasselaar; Birgit Jaspers; Johan Menten; Sheila Payne; Karen Van Beek; Sandra Varey; Marieke Groot; Lukas Radbruch
Journal:  BMC Palliat Care       Date:  2018-03-01       Impact factor: 3.234

3.  Realist evaluation of a complex integrated care programme: protocol for a mixed methods study.

Authors:  Milawaty Nurjono; Pami Shrestha; Alice Lee; Xin Ya Lim; Farah Shiraz; Shermin Tan; Shing Hei Wong; Kah Mun Foo; Thomas Wee; Sue-Anne Toh; Joanne Yoong; Hubertus Johannes Maria Vrijhoef
Journal:  BMJ Open       Date:  2018-03-01       Impact factor: 2.692

4.  Coordinating Mental and Physical Health Care in Rural Australia: An Integrated Model for Primary Care Settings.

Authors:  Scott J Fitzpatrick; David Perkins; Tonelle Handley; Dale Brown; Teresa Luland; Eamonn Corvan
Journal:  Int J Integr Care       Date:  2018-06-05       Impact factor: 5.120

5.  The general practice perspective on barriers to integration between primary and social care: a London, United Kingdom-based qualitative interview study.

Authors:  Danial Naqvi; Anam Malik; Mohaimen Al-Zubaidy; Falak Naqvi; Anas Tahir; Ali Tarfiee; Sarina Vara; Edgar Meyer
Journal:  BMJ Open       Date:  2019-08-20       Impact factor: 2.692

6.  Introduction of Network-Based Healthcare at Kaiser Permanente.

Authors:  Lonneke Rompen; Nienke M de Vries; Marten Munneke; Carolyn Neff; Todd Sachs; Steve Cedrone; Jason Cheves; Bastiaan R Bloem
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

7.  Physical Activity as Part of an Intramural Health Promotion Programme for People with and without Chronic Diseases. A New Tool in Health Care Run by a Public Social Health Insurance.

Authors:  Thomas E Dorner; Gudrun Wolner-Strohmeyer; Christian Katzenbeisser; Christian Lackinger; K Viktoria Stein
Journal:  Int J Environ Res Public Health       Date:  2020-10-15       Impact factor: 3.390

8.  Revisiting Organisational Learning in Integrated Care.

Authors:  Roberto Nuño-Solinís
Journal:  Int J Integr Care       Date:  2017-08-11       Impact factor: 5.120

9.  Understanding the dynamics of sustainable change: A 20-year case study of integrated health and social care.

Authors:  Charlotte Klinga; Henna Hasson; Magna Andreen Sachs; Johan Hansson
Journal:  BMC Health Serv Res       Date:  2018-06-04       Impact factor: 2.655

10.  Healthcare system maturity for integrated care: results of a Swiss nationwide survey using the SCIROCCO tool.

Authors:  Isabelle Peytremann-Bridevaux; Séverine Schusselé Filliettaz; Peter Berchtold; Michelle Grossglauser; Andrea Pavlickova; Ingrid Gilles
Journal:  BMJ Open       Date:  2021-02-23       Impact factor: 2.692

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