Review Article | Open | Published:

IMP2ART systematic review of education for healthcare professionals implementing supported self-management for asthma

npj Primary Care Respiratory Medicinevolume 28, Article number: 42 (2018) | Download Citation

Abstract

Despite a robust evidence base for its effectiveness, implementation of supported self-management for asthma is suboptimal. Professional education is an implementation strategy with proven effectiveness, though the specific features linked with effectiveness are often unclear. We performed a systematic review of randomised controlled trials and controlled clinical trials (published from 1990 and updated to May 2017 using forward citation searching) to determine the effectiveness of professional education on asthma self-management support and identify features of effective initiatives. Primary outcomes reflected professional behaviour change (provision of asthma action plans) and patient outcomes (asthma control; unscheduled care). Data were coded using the Effective Practice and Organisation of Care Taxonomy, the Theoretical Domains Framework (TDF), and Bloom’s Taxonomy and synthesised narratively. Of 15,637 articles identified, 18 (reporting 15 studies including 21 educational initiatives) met inclusion criteria. Risk of bias was high for five studies, and unclear for 10. Three of 6 initiatives improved action plan provision; 1/2 improved asthma control; and 2/7 reduced unscheduled care. Compared to ineffective initiatives, effective initiatives were more often coded as being guideline-based; involving local opinion leaders; including inter-professional education; and addressing the TDF domains ‘social influences’; ‘environmental context and resources’; ‘behavioural regulation’; ‘beliefs about consequences’; and ‘social/professional role and identity’. Findings should be interpreted cautiously as many strategies were specified infrequently. However, identified features warrant further investigation as part of implementation strategies aiming to improve the provision of supported self-management for asthma.

Introduction

Between 2005 and 2015, the global prevalence of asthma increased by 9.5%, with a corresponding increase in the years lived with disability of 9.4%.1 Since 1990, clinical guidelines have recommended that people with asthma be supported to manage their own condition.2,3,4 Supported self-management can be defined as “providing information and encouragement to help people maintain greater control by understanding their condition and being able to monitor and take appropriate action”.5 The Practical Systematic Review of Self-Management Support (PRISMS) meta-review for 14 long-term conditions (LTCs) confirmed the importance of supported self-management as a key component of high-quality care for people with LTCs.6 In the context of asthma, this work identified 23 systematic reviews synthesising data from 261 unique randomised controlled trials (RCTs) and concluded that self-management education for patients, reinforced by a written personalized asthma action plan (PAAP) and supported by regular review with a health care professional, reduces unscheduled care and improves markers of asthma control and quality of life.6,7

Although the evidence for the effectiveness of supported self-management in asthma is robust, implementation remains poor in routine clinical practice. An Asthma UK survey estimated that only 24% of people with asthma currently have a PAAP,8 and the National Review of Asthma Deaths identified inadequate routine care, including lack of self-management education reinforced with a PAAP, as a factor in 62% of the deaths investigated.9 Further understanding of implementation in this area is therefore essential. The key conclusion drawn based on the PRISMS work was that integration of supported self-management for asthma into routine practice requires a whole-systems implementation strategy in which motivated, skilled professionals support motivated, informed patients within an organisation that values, promotes and monitors supported self-management.10

We have therefore undertaken preliminary work to inform the development of such an implementation strategy. Because the provision of self-management support requires healthcare professionals to change their clinical behaviour, professionals whose role is to support patients are important targets for strategies aiming to improve the implementation of self-management support. As a component of an implementation strategy, professional education can address knowledge regarding the concept of supported self-management, and associated skills to support this change of behaviour in the professional.6 Cochrane reviews have shown that educational meetings/workshops, educational outreach visits, and printed educational materials can positively influence outcomes related to professional behaviour,11,12,13 while inter-professional education can improve clinical care.14 Previous asthma-related reviews have shown that professional education is an important component of implementation strategies focusing on supported self-management for asthma, and is associated with improvements in the process of care.10,15 However, professional education is a complex intervention and as such educational initiatives are likely to be composed of multiple parts. Additionally, specific features may differ between initiatives described as ‘professional education’. For example; there may be differences in the strategies involved (e.g. out-of-office educational meetings vs. educational outreach visits at practices); whom the initiative is directed at (e.g. individual professionals vs. practice teams); barriers to change targeted (e.g. knowledge/skills vs. confidence vs. access to resources), as well as the proposed active content of the education. The specific features of educational initiatives linked with effectiveness, and the barriers addressed by those features, are still unclear.

In the current study, we therefore aimed to synthesise the evidence regarding educational initiatives for professionals involved in self-management support for asthma. The objectives were to: (i) assess the effectiveness of the initiatives in changing professional behaviour and improving patient outcomes; and (ii) identify features of effective initiatives by mapping the strategies used to deliver the initiatives, the barriers targeted for change, and the educational goals.

Results

Study selection

A total of 15,637 records were retrieved (after de-duplication), of which 18 articles16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33 reporting 15 studies were included in the review (Fig. 1).

Fig. 1
Fig. 1

PRISMA flow diagram for database search of studies evaluating education for professionals implementing supported self-management for asthma. Notes: For Google Scholar, the first 500 hits were selected for screening. Searches included interventions reporting educational initiatives related to asthma and diabetes; studies separated at full text screening and synthesised separately

Characteristics of studies

Characteristics of the included studies are summarised in Table 1. Studies were published between 1993 and 2016 and took place across seven countries: USA (6),16,17,18,19,20,21,24,26,29 Australia (2),28,31 Israel (2),23,33 UK (2),22,25 the Netherlands (1),30 Singapore (1),27 and Sweden (1).32 Eight were cluster RCTs,17,18,19,22,24,25,26,29,30 three were RCTs,16,20,21,27,28 and four were CCTs.23,31,32,33 Three comprised education of primary care physicians only,17,28,32 two of paediatricians,16,18,19,20,21 two of nurses,22,27 and the remaining eight comprised education of more than one professional group (e.g. nurses and physicians).23,24,25,26,29,30,31,33

Table 1 Characteristics of included studies and key implementation and health outcomes

Three studies evaluated multiple initiatives (i.e. had more than two trial arms)23,27,33 so that the 15 studies evaluated 21 professional education initiatives. Five evaluated the Physician Asthma Care Education (PACE) initiative, which aims to develop skills for treating childhood asthma, including supporting families to self-manage.16,17,18,19,20,21,25,28 Seven initiatives focused on effective communication, self-management education for patient/families, and use of action plans;22,23,24,31 one also included simulation training.23 One initiative was a learning collaborative project, where participants identified performance gaps in their own practices’ asthma care, and learning was based on these.26 In the remaining eight initiatives, the education covered general management of asthma, with self-management support being a specific topic addressed.27,29,30,32,33

Risk of bias

Overall, the risk of bias was rated for each study as either unclear (10 studies) or high (5 studies: four CCTs,23,31,32,33 and a cluster RCT26 which reported potential contamination between intervention and control practices). Summary and component-specific risk of bias ratings are provided in Online Supplementary File 1, along with risk of bias assessment notes for included studies detailing the rationale for the risk assessments made.

Effectiveness of educational initiatives

For around half of the initiatives (10/21) there was some evidence of effectiveness in changing professional behaviour and/or patient outcomes as compared to control conditions (Table 1, Online Supplementary Files 23).16,18,19,20,21,23,24,25,28,29 Action plan provision/ownership was assessed for six initiatives, though it was not clear that this always meant a PAAP (for example, phrases such as care plan and instructions on how to adjust medicine when symptoms change were used). Three initiatives improved provision/ownership,16,20,21,28,29 and three did not.24,26,32 Four initiatives (assessed in one study) may have reduced rates of uncontrolled asthma (based on the proxy measure of inhaler purchase data);23 however this study was assessed as having a high risk of bias. One underpowered study showed no between-group difference in asthma control.22 Unscheduled care was measured for seven initiatives. Two were inconsistently effective in reducing unscheduled care (for example, reduced emergency department visits, but not hospitalisations).16,18,19,20,21 The remaining five were ineffective.17,25,26,28,31 Various secondary outcomes were measured: one initiative improved receipt of some (but not all) medications,24 and another improved quality of life and self-efficacy.25

Features of effective initiatives

The features of the educational initiatives are illustrated in Fig. 2, described below, and detailed in Tables 24.

Fig. 2
Fig. 2

Cochrane EPOC taxonomy implementation strategies and TDF domains coded for effective compared to ineffective initiatives. Note: EPOC = Effective Practice and Organisation of Care; TDF = theoretical domains framework A&F = audit and feedback; Cont. QI = Continuous quality improvement; Ed. = education/educational; Env. = environmental; Oth. = other

Table 2 Cochrane EPOC taxonomy implementation strategies coded for asthma supported self-management educational initiatives
Table 3 TDF domains coded for asthma supported self-management educational initiatives
Table 4 Bloom’s Taxonomy levels coded for asthma supported self-management educational initiatives

The EPOC implementation strategy ‘educational materials’ was coded for all 21 initiatives, and ‘educational meetings’ was coded for 19 of the 21. Compared to the ineffective initiatives, the 10 initiatives with some evidence of effectiveness more often included ‘clinical practice guidelines’, ‘local opinion leaders’, and ‘inter-professional education’. The TDF domain ‘knowledge’ was coded for all 21 initiatives, including both effective and ineffective initiatives. The domain ‘skills’ was coded for 16 of the 21 (9 of 10 effective; 7 of 11 ineffective). Nine further domains were coded at least once: five of these were coded for more than half of the initiatives with some evidence of effectiveness. These were ‘social influences’ (8 of 10 effective; 2 of 11 ineffective), ‘environmental context and resources’ (6 of 10 effective; 4 of 11 ineffective), ‘behavioural regulation’ (6 of 10 effective; 3 of 11 ineffective), ‘beliefs about consequences’ (5 of 10 effective; 2 of 11 ineffective), and ‘social/professional role and identity’ (5 of 10 effective; 0 of 11 ineffective). There appeared to be no clear differences in Bloom’s Taxonomy coding between effective compared to ineffective initiatives.

Tables 24 also include the key results from includes studies (specific outcomes and whether results were in favour of the intervention). There were no clear differences in coding between interventions which were effective for specific outcomes compared to those which were ineffective for those outcomes.

Grey literature review

In total, 744 records were screened, and three studies were included.34,35,36 The studies were heterogeneous, and few methodological details were reported. Two studies had moderate or high risk of bias. Reports tended to highlight the positive, with all studies reporting some evidence of effectiveness, so we were unable to distinguish features of effective/ineffective initiatives. Two of the initiatives described involving stakeholders in the development of their initiative.34,36 Further details are provided in Online Supplementary File 4.

Discussion

Summary of key findings

Overall, our synthesis of the evidence regarding educational initiatives for professionals involved in self-management support for people with asthma determined that what evidence exists is of unclear or high risk of bias. We synthesised evidence from 15 studies; seven reported at least one positive outcome. Three of six initiatives improved action plan provision/ownership; one of two improved asthma control; and two of seven decreased rates of unscheduled care. All initiatives used educational materials and addressed participants’ knowledge; most used educational meetings and addressed skills. Initiatives with some evidence of effectiveness were more often identified as being explicitly based on clinical practice guidelines; involving local opinion leaders; and including inter-professional education. Effective initiatives were also more likely to have addressed the TDF domains ‘social influences’, ‘environmental context and resources’, ‘behavioural regulation’, ‘beliefs about consequences’, and ‘social/professional role and identity’. It was not possible to draw any conclusions relating to potential links between initiative features and specific outcomes. Due to the complex multi-component nature of these initiatives and the diverse contexts in which they were delivered, it is not possible to conclude with certainty that using these strategies and targeting these domains will result in an intervention being effective. Rather, this initial evidence indicates that these represent plausible approaches and targets for future implementation studies aiming to evaluate the effectiveness of these strategies in improving the provision of supported self-management for asthma.

Strengths and limitations of this work

The key strengths of this work include the comprehensiveness of the search process. Screening, data extraction, and risk-of-bias assessment were undertaken by two independent reviewers. We used established taxonomies/frameworks to code features of initiatives. However, risk of bias was unclear or high for all studies, although this reflects the wider literature on randomised trials in health professions education.37 It is also of note that all included studies took place in high-income countries, which limits the generalisabiity of our findings to other settings. There was often a lack of detail provided regarding the educational initiatives. Additionally, a wide range of outcomes were assessed not only across studies, but within each individual study, with a primary outcome often not specified. The grey literature review was also limited by these problems. This made it challenging to identify common features and classify initiatives as effective or ineffective. We therefore add our voice to a recent call for more detailed and transparent reporting of medical education initiatives,37 which can be facilitated by the TIDieR guidelines38 and using tools such as the Behaviour Change Technique Taxonomy.39

We also reiterate calls for the use of core outcome sets.40,41 Inconsistent outcomes precluded meta-analysis, and the lack of implementation outcomes made it difficult to interpret findings. Our retrospective TDF coding enabled us to identify domains that appeared to be targeted by included initiatives, but this may not necessarily reflect the key barriers requiring targeting to facilitate practice change, which context-specific prospective qualitative work would identify.42,43 In addition, some EPOC strategies and TDF domains were coded for few or no studies, limiting our ability to asses these. Due to the limited details provided regarding the initiatives, and the fact that initiatives were not developed using the TDF, it was often difficult to identify the TDF domains which appeared to be targeted. The coding of each article was completed independently by two reviewers who then discussed any discrepancies to achieve consensus, involving a third reviewer if necessary. Coding of TDF domains was finalised before interventions were categorised as effective/ineffective.

There is extensive literature on the challenges inherent in synthesising data within systematic reviews of complex interventions.44,45,46,47 Recent work defines complex interventions are those which have multiple components and causal pathways, and which may also target multiple participants, groups, or organisational levels; require multifaceted adoption, uptake, or integration strategies; or work in a dynamic multidimensional environment.46 Therefore, due to the complex nature of the interventions included in our review, care must be taken in interpreting our results and it is not possible to conclude with certainty that using the strategies and targeting the specific domains identified will lead to an effective intervention. Despite these limitations, we identified features common to initiatives with some evidence of effectiveness, which could be further investigated in future implementation studies applying rigorous designs to minimise risk of bias. Indeed, a proposed solution to the challenges in synthesising data on complex interventions is to categorise interventions by key variables and investigate links between these categories and outcomes in the analyses.44 The use of theory-based approaches in synthesis of complex interventions is also recommended.44 Using theory helps make explicit and testable the associations between interventions and outcomes (i.e. the processes of change), and contributes to building a cumulative science whilst using a common language to synthesise interventions with common features which may be described using disparate language. Here we have used the TDF, a synthesis of decades of research in psychology and behavioural sciences, to identify factors which may form part of these processes of change, which should be explicitly tested in future studies.

Comparison with existing literature

Asthma care is complex, and there are significant barriers to change at multiple levels. Indeed, the PRISMS meta-review concluded that to implement supported self-management, a whole systems approach is required which addresses patient, professional, and organisational barriers to change.10 Professional education is only one of the key elements that contributes to success,15 so the inconsistent effectiveness of the included educational initiatives is not unexpected. Indeed, our findings that educational materials and meetings targeting knowledge and skills were features of most initiatives, whether effective or not, indicates that these features may be necessary but not sufficient for professional education to result in clinical behaviour change in this context. Exploring the features of professional education initiatives which have some evidence of effectiveness, as we have done here, is therefore important for informing the design of educational components of future whole-systems implementation strategies.

Educational initiatives including information provision along with additional components were more likely to be effective, largely in accordance with a recent overview of systematic reviews indicating that interventions based on restructuring practice and modifying peer group norms can be effective in changing healthcare professional behaviour.48 However, the overview also concluded that interventions also including strategies such as audit and feedback or reminders tended to be more likely to change healthcare professional behaviour.48 These aspects were rarely described in the initiatives reviewed here, which may explain their apparent limited effectiveness.

Our findings are in line with the Cochrane review on inter-professional education,14 and recent work showing that physicians highly endorse inter-professional management as facilitating PAAP provision.49,50 Our review adds to this work by showing that specifically addressing professional roles and responsibilities is a feature more common to successful education for self-management support in asthma. This resonates with our recent qualitative study, which explored the perspectives of professionals on implementing supported self-management for asthma in primary care practices. Demarcation of roles was highlighted as a significant barrier, with nurses frustrated at lack of support from physicians, and physicians recognising this problem but feeling overwhelmed by other priorities.43 Suggestions for improvement initiatives included emphasising the evidence for resulting benefits or positive impacts— in line with our finding that effective initiatives tended to target beliefs about consequences—as well as improving teamwork which could be facilitated via team-based education—in line with our finding that effective initiatives tended to include inter-professional education and target social influences and social/professional role and identity.43

Previous work has identified multiple barriers to the use of PAAPs in primary care: professionals did not value PAAPs, lacked awareness of when patients could benefit from one, and had difficulty accessing templates.42 These barriers may have been overcome in effective initiatives in our review since they involved local respected opinion leaders; were explicitly based on guidelines; demonstrated the positive outcomes for both professionals and patients; and provided template plans for use in practice.

Recommendations for practice and research

Continuing medical education on self-management support for asthma may benefit from having an inter-professional focus and addressing specific roles and responsibilities which are evolving as new models of care are developing. Many studies measured patient-level health outcomes but not implementation outcomes proximal to the education reflecting change in practice: it is therefore unclear whether a negative outcome is due to an ineffective initiative, or whether additional aspects (such as components aimed at patients, attention to organisational barriers) are required to change patient outcomes. Future research should define and measure a ‘logic pathway’,51 as well as intermediate/process outcomes, and explore mechanisms of effect. In addition, advanced statistical methods may be used to examine synergistic and antagonistic effects of initiative components.52,53

Alternatively, negative outcomes may be due to initiatives not being delivered as intended.54 A range of aspects of fidelity should be investigated in future studies;54,55,56 in particular, assessment of the behaviours targeted by initiatives; using a combination of methods and a mixed-methods approach.57 Finally, many strategies and domains were infrequently coded: future research should investigate the impact of barriers to change associated with these domains, and subsequently, the effectiveness of strategies targeting these. For example, the domain ‘memory, attention and decision processes’ was coded only twice, while the EPOC strategy ‘reminders’ was never coded. The only previous review applying the TDF found this to be the most frequently coded domain, suggesting that prompts or aids targeting decision processes were important strategies.58 Given that healthcare professional behaviour is likely influenced by underlying automatic/habitual processes as well as reflective ones,59,60,61 it is important to investigate strategies targeting these processes, to inform how guideline-recommended clinical behaviour change for self-management support can best be achieved.

To conclude, in addition to the core components (educational meetings and materials; targeting participants’ knowledge and skills), asthma supported self-management education for professionals had a range of additional features. Inter-professional education, and addressing professional roles and identities, were more often coded as present within interventions with some evidence of effectiveness compared to ineffective initiatives. These findings should be interpreted cautiously given that the evidence has unclear or high risk of bias: however, these represent plausible approaches for educational initiatives which should be further investigated as part of whole-systems implementation strategies aiming to improve the provision of supported self-management for asthma.

Methods

Our methods are summarised here and described in full in our protocol (PROSPERO: 2016:CRD42016032922).62 We followed Cochrane recommendations63 and PRISMA reporting standards.64

This review (as described in our protocol) was run in parallel with a similar review of studies relevant to diabetes. The searches, title/abstract screening, data extraction, and risk of bias assessment were undertaken simultaneously for diabetes and asthma-focussed articles. This paper reports the synthesis of articles focused on asthma-related educational initiatives.

Eligibility criteria

Eligible studies were RCTs or controlled clinical trials (CCTs) which evaluated educational initiatives on self-management support designed for professionals providing care to people with asthma. We used the Cochrane Effective Practice and Organisation of Care (EPOC) taxonomy of implementation strategies to define ‘educational’ (i.e. either ‘educational materials’; ‘educational meetings’; ‘educational outreach visits or academic detailing’; ‘educational games’; or ‘inter-professional education’).65 Studies were included if they could be classified into one of these categories. As a review of an implementation strategy,51 primary outcomes included both implementation outcomes reflecting professional behaviour and the process of care (provision/receipt of PAAPs) and health outcomes reflecting disease control (Asthma Control Questionnaire or similar validated measures) and acute events (unscheduled care for asthma). Secondary outcomes were behavioural/cognitive measures related to professionals or patients (e.g. self-efficacy, patient self-care behaviours). Studies were included if they addressed any outcome of interest.

Information sources and search strategy

Electronic searches were conducted in CENTRAL, MEDLINE, EMBASE, ISI Web of Science, CINAHL, PsycINFO, AMED, Global Health, WHO Global Health Library, ERIC, BNI, RDRB, and Google Scholar for studies published from 1990 (when self-management support for asthma was first recommended in guidelines)2 until February 2016 with no language restrictions. A sensitive search strategy was developed following advice from a senior librarian (Marshall Dozier, University of Edinburgh) (see Online Supplementary File 5). Two trial registries were searched (www.clinicaltrials.gov and www.isrctn.com). Reference lists of included studies were screened and authors of included studies were contacted for further information. To update our search prior to publication, forward citation searching for all included studies (a search method shown to be efficient and effective66) was completed in May 2017 using Google Scholar.

Screening

One reviewer (NMc) removed duplicates and clearly irrelevant titles. Three reviewers (NMc, AA, and HP) independently screened a sample of 100 titles and abstracts to clarify the interpretation of inclusion/exclusion criteria. This process was completed twice, until the level of agreement was satisfactory (≥90%). Two reviewers (NMc and AA) then independently screened all titles and abstracts, and the full texts of all potentially eligible studies. Disagreements were resolved by discussion, or arbitration by a third reviewer (HP or ST).

Data extraction and risk of bias assessment

Two reviewers (NMc and MC; with targeted checks by AA, and arbitration if necessary by HP or ST) independently extracted data onto a piloted form, and assessed risk of bias using the Cochrane Risk of Bias Tool.67 Data were extracted on study characteristics, participant characteristics (healthcare professionals and patients), details of the education and control conditions, and relevant outcomes. A summary assessment of the risk of bias (low, high, or unclear) was made for each study using guidance in the Cochrane Handbook.67

Headings from the Template for Intervention Description and Replication (TIDieR) checklist38 were used to extract general details about the initiatives. We used three taxonomies/frameworks to code specific features of the initiatives as reported in the retrieved articles:

  • The EPOC taxonomy to categorise the strategies used to deliver the initiative.65

  • The Theoretical Domains Framework (TDF), which incorporates 33 theories of behaviour, and 128 corresponding constructs, organised into 14 domains.68,69 Although designed to be used prospectively to identify barriers/facilitators to behaviour change which can then be targeted in an implementation strategy, we applied it retrospectively to identify domains that appeared to have been targeted.58

  • Bloom’s Taxonomy,70 to classify the learning objectives or educational goals of the initiatives.

Data synthesis

Characteristics of the initiatives, and the studies overall, were summarised in descriptive tables. When planning our analyses to evaluate the effectiveness of educational initiatives, we anticipated that heterogeneity between the initiatives assessed and the outcomes evaluated would preclude meta-analysis, and therefore planned a narrative data synthesis. When planning our analyses to determine features of effective initiatives, we anticipated that limited data reporting and heterogeneity would mean that meta-regression or more complex statistical analysis would not be appropriate. We therefore used descriptive data and narrative synthesis to map features to effective/ineffective initiatives.

Grey literature review

We conducted a review of grey literature, informed by published methodological guidance.71 We conducted Google searches, searched the records retrieved in the searches conducted for the systematic review, and searched websites suggested by experts. Screening and data extraction were completed by one reviewer (AB). Risk of bias was assessed using a checklist designed for evaluation of grey literature.72 Data were synthesized as described above. Further details on the grey literature review are provided in Online Supplementary File 4.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Aziz Sheikh, Brian McKinstry, and Luke Daines (University of Edinburgh); Chris Griffiths and Sandra Eldridge (Queen Mary University of London); Anne-Louise Caress (University of Manchester); Elisabeth Ehrlich (Asthma UK Centre for Applied Research); Bethan Haskins (Canterbury and Coastal Clinical Commissioning Group); Rob Horne (University College London); Steven Julious (University of Sheffield); Lorna McKee (University of Aberdeen); and Ceri Phillips (University of Swansea).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.

    Vos, T. et al. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388, 1545–1602 (2016).

  2. 2.

    British Thoracic Society. Research Unit of the Royal College of Physicians of London, King’s Fund Centre, National Asthma Campaign. Guidelines for management of asthma in adults: I-chronic persistent asthma. Br. Med. J. 301, 651–653 (1990).

  3. 3.

    Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention. Available from: www.ginasthma.org (accessed 23 June 2017). (2016).

  4. 4.

    British Thoracic Society/Scottish Intercollegiate Guideline Network. British Guideline on the Management of Asthma. Thorax 63(suppl. 4), iv1 (2008). -121.

  5. 5.

    de Silva D. Helping people help themselves: A review of the evidence considering whether it is worthwhile to support self-management. The Health Foundation. Available from: www.health.org.uk/sites/health/files/HelpingPeopleHelpThemselves.pdf (accessed 23 June 2017) (2011).

  6. 6.

    Taylor S.J.C., et al. A rapid synthesis of the evidence on interventions supporting self-management for people with long-term conditions: PRISMS – Practical systematic Review of Self-Management Support for long-term conditions: NIHR Journals Library, Health Services and Delivery Research, No. 2.53., Southampton (UK) (2014).

  7. 7.

    Pinnock, H. et al. Systematic meta-review of supported self-management for asthma: a healthcare perspective. BMC Med. 15, 64 (2017).

  8. 8.

    Asthma U.K. Time to take action on asthma. Available at https://www.asthma.org.uk/globalassets/campaigns/compare-your-care-2014.pdf (accessed 23 June 2017). (2014).

  9. 9.

    Royal College of Physicians. Why asthma still kills: the National Review of Asthma Deaths (NRAD) Confidential Enquiry report. (RCP, London, 2014).

  10. 10.

    Pinnock, H. et al. Implementing supported self-management for asthma: a systematic review and suggested hierarchy of evidence of implementation studies. BMC Med. 13, 127 (2015).

  11. 11.

    Forsetlund, L. et al. Continuing education meetings and workshops: effects on professional practice and health care outcomes. Cochrane Database Syst. Rev. 2, CD003030 (2009).

  12. 12.

    Giguère, A. et al. Printed educational materials: effects on professional practice and healthcare outcomes. Cochrane Database Syst. Rev. 10, CD004398 (2012).

  13. 13.

    O’Brien, M. A. et al. Educational outreach visits: effects on professional practice and health care outcomes. Cochrane Database Syst. Rev. 4, CD000409 (2007).

  14. 14.

    Reeves, S., Perrier, L., Goldman, J., Freeth, D. & Zwarenstein, M. Interprofessional education: effects on professional practice and healthcare outcomes. Cochrane Database Syst. Rev. 3, CD002213 (2013).

  15. 15.

    Ring, N. et al. Developing novel evidence-based interventions to promote asthma action plan use: a cross-study synthesis of evidence from randomised controlled trials and qualitative studies. Trials 13, 216 (2012).

  16. 16.

    Brown, R., Bratton, S. L., Cabana, M. D., Kaciroti, N. & Clark, N. M. Physician asthma education program improves outcomes for children of low-income families. Chest 126, 369–374 (2004).

  17. 17.

    Bruzzese, J. et al. Using school staff to establish a preventive network of care to improve elementary school students’ control of asthma. J. Sch. Health 76, 307–312 (2006).

  18. 18.

    Cabana, M. D. et al. Impact of physician asthma care education on patient outcomes. Pediatrics 117, 2149–2157 (2006).

  19. 19.

    Clark, N. M., Cabana, M., Kaciroti, N., Gong, M. & Sleeman, K. Long-term outcomes of physician peer teaching. Clin. Pediatr. 47, 883–890 (2008).

  20. 20.

    Clark, N. M., Gong, M. & Schork, A. et al. Impact of education for physicians on patient outcomes. Pediatrics 101, 831–836 (1998).

  21. 21.

    Clark, N. M. et al. Long-term effects of asthma education for physicians on patient satisfaction and use of health services. Eur. Respir. J. 16, 15–21 (2000).

  22. 22.

    Cleland, J. A., Hall, S., Price, D. & Lee, A. J. An exploratory, pragmatic, cluster randomised trial of practice nurse training in the use of asthma action plans. Prim. Care Respir. J. 16, 311–318 (2007).

  23. 23.

    Cohen, A. G., Kitai, E., David, Sb & Ziv, A. Standardized patient-based simulation training as a tool to improve the management of chronic disease. Simul. Healthc. 9, 40–47 (2014).

  24. 24.

    Evans, D. et al. Improving care for minority children with asthma: professional education in public health clinics. Pediatrics 99, 157–164 (1997).

  25. 25.

    Griffiths, C. et al. Effect of an education programme for South Asians with asthma and their clinicians: A cluster randomised controlled trial (OEDIPUS). PLoS ONE 11, e0158783 (2016).

  26. 26.

    Homer, C. J. et al. Impact of a quality improvement program on care and outcomes for children with asthma. Arch. Pediatr. & Adolesc. Med. 159, 464–469 (2005).

  27. 27.

    Prabhakaran, L., Chee, J., Earnest, A. & Salleh, S. Comparison of three different modes of teaching enrolled nurses on asthma management. J. Asthma Allergy Educ. 3, 117–126 (2012).

  28. 28.

    Shah, S. et al. Improving paediatric asthma outcomes in primary health care: a randomised controlled trial. Med. J. Aust. 195, 405–409 (2011).

  29. 29.

    Sheikh, S. I., Chrysler, M., Ryan-Wenger, N. A., Hayes, D. Jr. & McCoy, K. S. Improving pediatric asthma care: A partnership between pediatric primary care clinics and a free-standing Children’s Hospital. J. Asthma 53, 622–628 (2016).

  30. 30.

    Smeele, I. J. et al. Can small group education and peer review improve care for patients with asthma/chronic obstructive pulmonary disease? Qual. Health Care 8, 92–98 (1999).

  31. 31.

    Toelle, B. G. et al. Evaluation of a community-based asthma management program in a population sample of schoolchildren. Med. J. Aust. 158, 742–746 (1993).

  32. 32.

    Tomson, Y., Hasselstrom, J., Tomson, G. & Aberg, H. Asthma education for Swedish primary care physicians—a study on the effects of ‘academic detailing’ on practice and patient knowledge. Eur. J. Clin. Pharmacol. 53, 191–196 (1997).

  33. 33.

    Volovitz, B. et al. Increasing asthma awareness among physicians: impact on patient management and satisfaction. J. Asthma 40, 901–908 (2003).

  34. 34.

    Bender, B. G. et al. The Colorado Asthma Toolkit Program: a practice coaching intervention from the High Plains Research Network. J. Am. Board Fam. Med. 24, 240–248 (2011).

  35. 35.

    Chandler, L. Improving adult asthma care: Emerging learning from the national improvement projects. NHS Improv.-Lung 1, 12–13 (2016).

  36. 36.

    Kaferle, J. E. & Wimsatt, L. A. A team-based approach to providing asthma action plans. J. Am. Board Fam. Med. 25, 247–249 (2012).

  37. 37.

    Horsley, T. et al. Reporting quality and risk of bias in randomised trials in health professions education. Med. Educ. 51, 61–71 (2017).

  38. 38.

    Hoffmann T. C., et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. British Medical Journal 348 (2014).

  39. 39.

    Michie, S. et al. The Behavior Change Technique Taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann. Behav. Med. 46, 81–95 (2013).

  40. 40.

    Gargon, E., Williamson, P. R., Altman, D. G., Blazeby, J. M. & Clarke, M. The COMET initiative database: progress and activities update (2014). Trials 16, 515 (2015).

  41. 41.

    Hounsome, N., Fitzsimmons, D., Phillips, C. & Patel, A. Developing core economic outcome sets for asthma studies: a protocol for a systematic review. BMJ Open 7, e017054 (2017).

  42. 42.

    Ring, N. et al. The ‘vicious cycle’ of personalised asthma action plan implementation in primary care: a qualitative study of patients and health professionals’ views. BMC Fam. Pract. 16, 145 (2015).

  43. 43.

    Morrow, S. et al. Exploring the perspectives of clinical professionals and support staff on implementing supported self-management for asthma in UK general practice: an IMP2ART qualitative study. NPJ Prim. Care Respir. Med. 27, 45 (2017).

  44. 44.

    Shepperd, S. et al. Can we systematically review studies that evaluate complex interventions? PLoS Med. 6, e1000086 (2009).

  45. 45.

    Knottnerus, J. A. & Tugwell, P. Addressing complexity in health research, a big issue. J. Clin. Epidemiol. 90, 1–2 (2017).

  46. 46.

    Guise, J. M. et al. AHRQ series on complex intervention systematic reviews-paper 1: an introduction to a series of articles that provide guidance and tools for reviews of complex interventions. J. Clin. Epidemiol. 90, 6–10 (2017).

  47. 47.

    Viswanathan, M. et al. AHRQ series on complex intervention systematic reviews-paper 4: selecting analytic approaches. J. Clin. Epidemiol. 90, 28–36 (2017).

  48. 48.

    Johnson, M. J. & May, C. R. Promoting professional behaviour change in healthcare: what interventions work, and why? A theory-led overview of systematic reviews. BMJ Open 5, e008592 (2015).

  49. 49.

    Djandji, F. et al. Enablers and determinants of the provision of written action plans to patients with asthma: a stratified survey of Canadian physicians. NPJ Prim. Care Respir. Med. 27, 21 (2017).

  50. 50.

    Lamontagne, A. J. et al. Facilitators and solutions for practicing optimal guided asthma self-management: the physician perspective. Can. Respir. J. 20, 285–293 (2013).

  51. 51.

    Pinnock, H. et al. Standards for Reporting Implementation Studies (StaRI) Statement. Br. Med. J. 356, i6795 (2017).

  52. 52.

    Ivers, N. et al. Seeing the forests and the trees—innovative approaches to exploring heterogeneity in systematic reviews of complex interventions to enhance health system decision-making: a protocol. Syst. Rev. 3, 88 (2014).

  53. 53.

    Li, X., Dusseldorp, E. & Meulman, J. J. Meta-CART: a tool to identify interactions between moderators in meta-analysis. Br. J. Math. Stat. Psychol. 70, 118–136 (2017).

  54. 54.

    Bellg, A. J. et al. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol. 23, 443–451 (2004).

  55. 55.

    French, S. D. et al. Evaluation of the fidelity of an interactive face-to-face educational intervention to improve general practitioner management of back pain. BMJ Open 5, e007886 (2015).

  56. 56.

    Mars, T. et al. Fidelity in complex behaviour change interventions: a standardised approach to evaluate intervention integrity. BMJ Open 3, e003555 (2013).

  57. 57.

    Toomey, E., Matthews, J. & Hurley, D. A. Using mixed methods to assess fidelity of delivery and its influencing factors in a complex self-management intervention for people with osteoarthritis and low back pain. BMJ Open 7, e015452 (2017).

  58. 58.

    Little, E. A., Presseau, J. & Eccles, M. P. Understanding effects in reviews of implementation interventions using the Theoretical Domains Framework. Implement. Sci. 10, 90 (2015).

  59. 59.

    Presseau, J. et al. Reflective and automatic processes in health care professional behaviour: a dual process model tested across multiple behaviours. Ann. Behav. Med. 48, 347–358 (2014).

  60. 60.

    Evans, J. S. Dual-processing accounts of reasoning, judgment, and social cognition. Annu. Rev. Psychol. 59, 255–278 (2008).

  61. 61.

    Nilsen, P., Roback, K., Broström, A. & Ellström, P.-E. Creatures of habit: accounting for the role of habit in implementation research on clinical behaviour change. Implement. Sci. 7, 53 (2012).

  62. 62.

    McCleary, N. et al. Educating professionals to support self-management in people with asthma or diabetes: protocol for a systematic review and scoping exercise. BMJ Open 6, e011937 (2016).

  63. 63.

    Higgins JPT, Green S. (Eds). Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration. (2011).

  64. 64.

    Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA Statement. J. Clin. Epidemiol. 62, 1006–1012 (2009).

  65. 65.

    Effective Practice and Organisation of Care (EPOC). EPOC Taxonomy. Available at: https://epoc.cochrane.org/epoc-taxonomy (acessed23 June 2017). (2015).

  66. 66.

    Greenhalgh, T. & Peacock, R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. Br. Med. J. 331, 1064–1065 (2005).

  67. 67.

    Higgins JPT, Altman D.G., Sterne JAC (Eds). Chapter 8: Assessing risk of bias in included studies. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration. (2011).

  68. 68.

    Cane, J., O’Connor, D. & Michie, S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement. Sci. 7, 37 (2012).

  69. 69.

    Michie, S. et al. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual. Saf. Health Care 14, 26–33 (2005).

  70. 70.

    Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H. & Krathwohl, D. R. Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. (David McKay Company, New York, 1956).

  71. 71.

    Godin, K., Stapleton, J., Kirkpatrick, S. I., Hanning, R. M. & Leatherdale, S. T. Applying systematic review search methods to the grey literature: a case study examining guidelines for school-based breakfast programs in Canada. Syst. Rev. 4, 138 (2015).

  72. 72.

    Tyndall, J. How low can you go? Towards a hierarchy of grey literature. Dreaming 08 – Australian Library and Information Association Biennial Conference 2 – 5 September 2008 Alice Springs Convention Centre. (Alice Springs, NT Australia, 2008).

Download references

Acknowledgements

We thank Marshall Dozier, Senior Liaison Librarian and Liaison Director for the College of Medicine and Veterinary Medicine at the University of Edinburgh, who assisted in developing the search strategy. This report is independent research funded by the National Institute for Health Research (Programme Development Grants, Implementing supported asthma self-management in routine clinical care: designing, refining, piloting and evaluating a whole systems implementation within an MRC Phase IV initiative of research, RP-DG-1213-10008). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health. This work is sponsored by the University of Edinburgh. This review was submitted by HP on behalf of the IMP2ART team. In addition to all the authors the IMP2ART team also includes Aziz Sheikh, Brian McKinstry, and Luke Daines (University of Edinburgh); Chris Griffiths and Sandra Eldridge (Queen Mary University of London); Anne-Louise Caress (University of Manchester); Elisabeth Ehrlich (Asthma UK Centre for Applied Research); Bethan Haskins (Canterbury and Coastal Clinical Commissioning Group); Rob Horne (University College London); Steven Julious (University of Sheffield); Lorna McKee (University of Aberdeen); and Ceri Phillips (University of Swansea).

Author information

Affiliations

  1. Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK

    • Nicola McCleary
    • , Audrey Buelo
    • , Susan Morrow
    • , Monica Fletcher
    •  & Hilary Pinnock
  2. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada

    • Nicola McCleary
  3. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada

    • Nicola McCleary
  4. Education for Health, Warwick, UK

    • Amanda Andrews
  5. Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK

    • Mireille Captieux
  6. Healthcare Improvement Scotland, Edinburgh, UK

    • Sharon Wiener-Ogilvie
  7. Multidisciplinary Evidence Synthesis Hub (mEsh), Centre for Primary Care and Public Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK

    • Liz Steed
    •  & Stephanie J. C. Taylor

Authors

  1. Search for Nicola McCleary in:

  2. Search for Amanda Andrews in:

  3. Search for Audrey Buelo in:

  4. Search for Mireille Captieux in:

  5. Search for Susan Morrow in:

  6. Search for Sharon Wiener-Ogilvie in:

  7. Search for Monica Fletcher in:

  8. Search for Liz Steed in:

  9. Search for Stephanie J. C. Taylor in:

  10. Search for Hilary Pinnock in:

Contributions

H.P. and S.T. conceived the idea for this work and are the guarantors. N.M. completed the literature search. N.M. and A.A. completed screening. N.M., A.A., and M.C. completed data extraction and risk of bias assessment. A.B. completed the grey literature review. N.M. completed the data analysis and drafted the first version of the manuscript. All authors contributed to screening, data extraction, and risk of bias assessment via discussion at team meetings. All authors contributed to data interpretation and critically revised the manuscript. All authors read and approved the final manuscript.

Competing interests

M.F. was the Chief Executive for Education for Health (an organization that provides training for healthcare professionals) and A.A. worked for Education for Health at the time of this review. The authors declare no further competing interests related to this work.

Corresponding author

Correspondence to Hilary Pinnock.

Electronic supplementary material

About this article

Publication history

Received

Revised

Accepted

Published

DOI

https://doi.org/10.1038/s41533-018-0108-4