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Implementing supported self-management for asthma: a systematic review and suggested hierarchy of evidence of implementation studies



Asthma self-management remains poorly implemented in clinical practice despite overwhelming evidence of improved healthcare outcomes, reflected in guideline recommendations over three decades. To inform delivery in routine care, we synthesised evidence from implementation studies of self-management support interventions.


We systematically searched eight electronic databases (1980 to 2012) and research registers, and performed snowball and manual searches for studies evaluating implementation of asthma self-management in routine practice. We included, and adapted systematic review methodology to reflect, a broad range of implementation study designs. We extracted data on study characteristics, process measures (for example, action plan ownership), asthma control (for example, patient reported control questionnaires, days off school/work, symptom-free days) and use of health services (for example, admissions, emergency department attendances, unscheduled consultations). We assessed quality using the validated Downs and Black checklist, and conducted a narrative synthesis informed by Kennedy’s whole systems theoretical approach (considering patient, practitioner and organisational components and the interaction between these).


We included 18 studies (6 randomised trials, 2 quasi-experimental studies, 8 with historical controls and 3 with retrospective comparators) from primary, secondary, community and managed care settings serving a total estimated asthma population of 800,000 people in six countries. In these studies, targeting professionals (n = 2) improved process, but had no clinically significant effect on clinical outcomes. Targeting patients (n = 6) improved some process measures, but had an inconsistent impact on clinical outcomes. Targeting the organisation (n = 3) improved process measures, but had little/no effect on clinical outcomes. Interventions that explicitly addressed patient, professional and organisational factors (n = 7) showed the most consistent improvement in both process and clinical outcomes. Authors highlighted the importance of health system commitment, skills training for professionals, patient education programmes supported by regular reviews, and on-going evaluation of implementation effectiveness.


Our methodology offers an exemplar of reviews synthesising the heterogeneous implementation literature. Effective interventions combined active engagement of patients, with training and motivation of professionals embedded within an organisation in which self-management is valued. Healthcare managers should consider how they can promote a culture of actively supporting self-management as a normal, expected, monitored and remunerated aspect of the provision of care.

Systematic review registration

PROSPERO (registration number: CRD42012002898) Accessed 24 May 2015

Peer Review reports


Supported self-management for people with asthma, including a personal asthma action plan, reduces emergency use of healthcare resources and improves markers of asthma control [1, 2]. International guidelines prioritise establishing a patient/clinician partnership to help people take control of their asthma with guidance from healthcare professionals [3], and recommend provision of self-management education for all people with asthma [4]. Yet, nearly 25 years after guidelines first advised that ‘as far as possible patients should be trained to manage their own treatment’ [5], and despite significant promotion of self-management in healthcare policy globally [6, 7], surveys from United States, Northern Europe, and Australia estimate that less than a third of people with asthma have a personal action plan [812]. In 2014 the UK National Review of Asthma Deaths highlighted that half the people who died had not accessed medical help and emphasised the vital importance of asthma self-management to facilitate recognition of, and timely response to, deteriorating asthma control [13].

Most evidence supporting complex interventions, such as self-management education, is derived from randomised controlled trials (RCTs); studies of implementation in routine practice are relatively uncommon [14, 15]. Recently, however, the policy focus has shifted to the translational gap between research and practice [16], echoed by the development of a Dissemination and Implementation (D and I) research paradigm [17, 18], and a growing emphasis on ‘research impact’ [19]. These initiatives may provide the impetus required to move health service research from (often ineffective) dissemination to active translation of efficacious interventions into practical approaches for effective implementation within diverse healthcare systems [15, 20].

A range of methodologies inform the study of real-world implementation, but the crucial distinguishing feature is that the intervention is delivered by practitioners within the context of routine clinical care and accessible to all patients clinically eligible for the service (as opposed to participants selectively recruited into a research study) [14]. Outcomes should reflect this, potentially using routinely collected data to assess impact on the whole population; turnover within that population is a clinical reality [15]. Uptake and attrition in a real-world setting are important outcome measures.

RCTs are the gold standard for establishing effectiveness, though in implementation research such trials typically randomise clusters (for example, hospitals, primary care practices, healthcare organisations) to implementing the intervention or continuing standard care. Other study designs, including quasi-experimental (for example, stepped wedge, controlled implementation studies) or studies with retrospective controls may be more practicable and affordable than large cluster RCTs, but are more open to bias [21]. Weaker designs include before-and-after studies, and uncontrolled cross-sectional studies, although these can contribute to understanding the challenges of implementing complex interventions. Qualitative and mixed-method case studies can draw out rich explanations of how and why events unfolded in a particular setting although they are a weak design for evaluating effectiveness. This hierarchy is illustrated in Fig. 1, although importantly the categories overlap, as factors such as the size and generalisability of the population studied, and reliability of routine data may influence the robustness of the findings.

Fig. 1
figure 1

Hierarchy of implementation studies. Hierarchy based on: 1. Randomisation, status of comparator groups. 2. Prospective/retrospective design. These categories overlap. Other factors (such as size and generalisability of the population studied) will influence the robustness of the evidence

This paper describes a systematic review of studies reporting the delivery of self-management interventions in populations with asthma within routine clinical care. It formed part of a larger programme of work (PRISMS) that aimed to synthesise the evidence for self-management support interventions for people with long-term conditions to inform commissioners and providers of healthcare services [22].


The study protocol was registered with PROSPERO (registration number: CRD42012002898). The review was undertaken during 2012 to 2013 with database searches completed in August 2012 and other searches in November 2012. We followed the approach described in the Cochrane Handbook for Systematic Reviews of Interventions [23].

Search strategy

Table 1 outlines the search strategy, the search process, and inclusion and exclusion criteria; full details are given in Additional files 1 and 2. Our initial searches in eight electronic databases, two trial registries, snowball and manual searches of key journals covered the 14 long-term conditions studied in our over-arching PRISMS study, which specifically included asthma [22]. Our basic search strategy was: ‘self-management support’ AND ‘exemplar long term conditions (specifically including asthma)’ AND ‘implementation design terms’.

Table 1 Search strategy and sources for the implementation review

Defining and identifying implementation studies

There is no consensus on standards for defining and describing implementation studies [15, 24]. We therefore discussed and agreed key criteria for identifying relevant studies (see Additional file 2). In summary, we only included studies in which the intervention was implemented in routine clinical practice. From a practical perspective this meant the studies had to describe the introduction of an evidence-based and/or guideline recommended intervention, define eligibility for, and recruit patients to the new service (rather than recruiting eligible patients into a research study where receipt of the new service was dependent on being in the study), report uptake and attrition, be delivered by service personnel (although they could be trained specifically to deliver the intervention), and include outcomes from whole populations. We anticipated that the studies would employ a range of study designs (see Fig. 1) [14].

Screening of titles and abstracts

Following training, one reviewer (EE, GP or HLP) reviewed titles and abstracts from the literature searches and selected possibly relevant studies with a random 10 % sample checked independently by a second reviewer (GP, HLP or HP). Disagreements were resolved by discussion or, rarely, through arbitration by a third reviewer (ST).

Full-text screening

The full texts of all potentially eligible studies were assessed against the exclusion criteria (EE, GP or HLP) with a random 25 % sample checked independently (HP). Because of the challenges in identifying implementation studies, all papers considered relevant or where there was doubt about eligibility were discussed by the core research team (ST, HP, EE, GP, HLP), agreement reached and criteria refined.

Assessment of methodological quality

In the absence of an instrument specifically designed for implementation studies, we used the Downs and Black checklist, which assesses methodological quality of both randomised and non-randomised studies of healthcare interventions [25]. A random 10 % sample of papers was scored independently by EE and HP; discussions to resolve disagreements on these papers improved consistency in applying the instrument, which was then applied by EE to the remaining papers. Members of the study team did not contribute to decisions to include, or the assessment of, papers on which they were authors.


Reflecting international guidance on assessing asthma control [26], our primary outcomes were validated patient-reported measures of current asthma control [27] and acute exacerbations (steroid courses and/or unscheduled healthcare). We also included process measures (for example, presence of personal action plans), and intermediate measures (for example, self efficacy) relevant to provision of self-management.

Extraction of data

One reviewer (EE) extracted data on: study design; group allocation (if applicable); setting; mode of delivery (group, individual, professional, lay-led, face-to-face, telehealthcare); recipient of the intervention (healthcare professionals, patients, parents or carers); components (education, action plans, behaviour change techniques; (tele) monitoring; written/electronic information); duration and intensity of components; follow-up; service arrangements; and clinical effectiveness and process outcomes. A second reviewer (HP) independently checked all data extracted for integrity and accuracy.

Data analysis

We compiled a descriptive summary of the studies and, for each, the evidence for the effectiveness of implementing self-management support. Substantial heterogeneity of populations, interventions and outcomes precluded meta-analysis. We used narrative synthesis, using Kennedy et al’s ‘whole systems’ approach (considering patient, practitioner and service organisation components and the interaction among these) as an organising framework [28]. Classification of papers was determined by the authors’ description of the focus of their intervention.

We used harvest plots to assist the process of synthesis and to provide a visual representation of our findings [29]. For each study, a decision was made about whether the outcomes (classified as process/intermediate, asthma control, unscheduled healthcare) showed overall positive benefit, no effect, or negative effect. If several measures within one classification (for example asthma control questionnaire, days off school and use of rescue medication) had different outcomes (typically because some, but not all, outcomes showed a significant effect) a decision was taken about the over-arching outcome and the bar on the plot hatched to indicate inconsistent findings. In making this assessment, precedence was given to defined primary outcomes for which the study was adequately powered, outcomes which determined impact on the whole eligible population, and outcomes which used validated instruments and achieved clinically important differences.

Interpretation and end-of-project workshop

The multidisciplinary core research team met regularly (usually weekly) to discuss emerging findings, and monthly steering group meetings provided further opportunities to discuss interpretation and ensure balanced conclusions. In addition, we presented our preliminary findings and draft conclusions at a multidisciplinary end-of-project workshop attended by 32 policymakers, commissioners, health service managers, healthcare professionals, academics, and patient representatives.


The papers identified (for the combined search of 14 long term conditions including asthma), the screening process and the final number of studies included, are detailed in the PRISMA flowchart (Fig. 2). On title and abstract screening, the 10 % reliability check showed 93 % agreement between reviewers. Of the 1,225 papers selected for full-text screening, 220 related to asthma of which 201 were excluded as not meeting our inclusion criteria.

Fig. 2
figure 2

PRISMA flowchart. Note: The initial searches were combined for all the 14 LTCs in the PRISMS overview [22]. The figures for asthma are provided from the point of full text screening. LTCs, long term conditions

Description of the studies

Our final dataset comprised 19 papers reporting 18 studies, nine of which were from the US [3038], four from the UK [3942], two from Brazil [43, 44], one (two reports) from Finland [45, 46], and two from other European countries [47, 48]. Nine were conducted in primary care or community settings [30, 3844, 48], four in managed care organisations (MCOs) [3133, 35], one in secondary care [36], three in schools [34, 37, 47], and one was a national initiative spanning all healthcare settings [45, 46].

Study quality and weight of evidence

Study designs varied (see Fig. 1), with six RCTs (three cluster RCTs [30, 34, 40], one preference trial [32], and two individually randomised RCTs [35, 40]), two quasi-experimental designs [41, 44], eight with historical controls (two interrupted time series [45, 46]), three repeated measures studies [31, 33, 36], and three before-and-after studies [37, 38, 47]), and three with retrospective comparators [42, 43, 48].

The size of the studies varied widely. The largest studies were a national initiative in Finland involving an estimated 350,000 people with asthma [45, 46] and a comparison between two Brazilian cities each with a population of about 2.5 million [44]. Five other studies included asthma populations in excess of 1,000 people [30, 3537, 41]. Only three included fewer than 250 people with asthma [31, 38, 47].

Quality scores using the Downs and Black checklist (‘D and B’) ranged from 10 to 24 out of a possible 28 [25]. It became apparent that, despite its broad remit, the score prioritised several items of questionable importance in the context of implementation studies. For example, ‘representativeness of subjects invited to participate’ is not applicable if all patients are offered a clinical service (as opposed to being recruited to research). Turnover (both gains and losses in the population eligible for the clinical service) is more relevant than ‘loss to research follow up’: uptake and attrition from the clinical service are important outcomes. Questions about ‘blinding’ are irrelevant and possibly even misleading in the context of a 10-year national quality improvement programme [45, 46], in which publicity was a key part of the intervention.

In order to reflect the relative weight that should be given to the findings of individual studies, we have summarised these three attributes (design, population size, quality score) when we present data from the different studies. In addition we describe the studies in the text and tables in order of our assessment of design rigour (see Fig. 1).

Overview of results

We classified studies according to whether the intervention as described in the paper was primarily targeted at patients, professionals, the organisation, or explicitly described components targeted at all three.

  • Primarily patient education, with or without an attempt at organisational change(s) (six studies [3135, 47]), improved some process measures, but had inconsistent impact on clinical outcomes.

  • Primarily professional training, with or without an attempt at organisational change(s), (two studies [30, 39]) improved process, but had no clinically significant impact on clinical outcomes.

  • Primarily organisational change (three studies [40, 41, 48]) improved process, but had little or no effect on clinical outcomes.

  • A whole systems approach with components explicitly operating at patient, professional and organisational level (seven studies reported in eight papers [3638, 4246]) showed the most consistent improvement in both process measures and clinical outcomes.

Table 2 summarises the key findings from each of the studies and Table 3 lists the authors’ reflections and lessons learned. Detailed descriptions of the interventions and findings are presented in Additional files 3 and 4. The text below summarises our synthesis, which is tabulated in Additional file 5 and illustrated in Fig. 3.

Table 2 Overview of the findings of the included studies
Table 3 Study authors’ reflections and lessons learned
Fig. 3
figure 3

Harvest plots [29] illustrating the effectiveness on process and clinical outcomes of self-management implementation. Notes: Each bar represents a study categorised as primarily targeting patients, professionals or the organisation, or a whole systems approach explicitly targeting all three. The colour, height and number indicate the three criteria for assessing weight of evidence of individual trials. The colour of the bar indicates the study design with the more robust methodologies in darker colours. The height of the line illustrates the number of patients included in the study and the number is the Downs and Black quality score. The decisions which underpin this plot are detailed in Additional file 5

Mainly focussed on patient education

Six studies described interventions directed primarily at educating patients. Four were promoted and funded by US MCOs [3133, 35], and two were in schools (US and Italy) [34, 47].

Delaronde 2005 [32], (RCT/patient preference study, 399 participants, D and B = 20) and Vollmer 2006 [35], (RCT, 6,948 participants, D and B =18) both provided telephone-based self-management support interventions to adult members of their MCO. Neither improved clinical outcomes, although Delaronde 2005 observed a significant improvement in the ratio of preventer to reliever treatment in both intervention groups [32]. Patient motivation was important: those who had ‘opted-in’ complied with, and achieved more benefit from, the nurse-led programme than the group randomised to the intervention [32]. In contrast, compliance with the automated telephone calls used in Vollmer 2006 was very low and the intervention had no impact on any outcome [35].

In smaller studies using methodologically weaker designs, Bunting 2006 [31] (five-year repeated measures study, 207 participants, D and B = 17) and Forshee 1998 [33] (before-and-after study, 201 participants, D and B = 15), reduced unscheduled healthcare [31, 33] and demonstrated improved control [31] or quality of life [33] when self-management education was provided by asthma educators [31] or nurses [33] alongside regular clinical review.

School-based interventions

The two school-based interventions provided teaching for families, children and staff as well as systematic identification of children with asthma [34, 47]. Gerald 2006, (cluster RCT, 54 schools, 736 children, D and B = 18) targeted low-income African-American elementary school children, and showed no differences in school absences, or use of emergency healthcare [34]. Challenges identified by authors to explain their findings included the high turnover in staff and pupils at the inner-city schools, and limited parental involvement. Using a weaker study design, Chini 2011 (before-and-after study, 135 children, D and B = 15) demonstrated improved asthma control in primary school children in Rome, over the year of the intervention [47].

Mainly focused on training of healthcare professionals

Two cluster RCTs described interventions directed primarily at professionals [30, 39]. Cleland 2007, (cluster RCT, 13 practices, 629 patients, D and B = 24), provided a single workshop on communication skills and advice on formulating action plans to UK primary care asthma nurses [39]. In the US, Homer 2005 (cluster RCT, 43 practices, 13,878 children, quality score = 18) trained healthcare professionals in a quality improvement intervention [30]. Neither had a clinically important effect on clinical outcomes, although intervention practices in Homer 2005 provided more action plans [30]. Challenges included limited engagement with the training and audit programme [30], and lack of organisational support to enable the trained nurses to implement self-management in practice [39].

Mainly focused on organisational change

Three interventions promoted structured reviews with a nurse whose remit included self-management education and the provision of personal action plans [40, 41, 48]. In UK primary care, Kemple 2003, (RCT, 545 participants, D and B = 20) [40] facilitated reviews by sending blank action plans with postal reminders and Pinnock 2007 (controlled implementation trial, 1,809 participants, D and B = 21) [41] offered a telephone asthma review service. In both trials, process and/or intermediate measures improved in the intervention groups, but neither trial showed a difference in asthma control or use of healthcare resources [40, 41].

Using a weaker design from Swedish primary care, Lindberg 2002, (cross-sectional study, 347 participants, D and B = 16) demonstrated that a nurse-led asthma service was associated with provision of action plans, and fewer asthma symptoms than in seven comparator practices [48].

Explicitly encompassing a whole systems approach

Seven studies evaluated a whole systems approach that explicitly addressed patient, professional and system level interventions [3638, 4246].

Four of these studies used national or regional admissions data to observe the impact of multifaceted public health programmes [4246]. The Finnish programme (10-year interrupted time series analysis, asthma population approximately 350,000, D and B = 10) included a strong focus on self-management education in the context of nationwide professional development and system-level expectations of raising the quality of asthma management [45, 46]. National data over the decade of the intervention showed increased use of preventer medication and a reduction in asthma deaths (from 123 to 85 a year) and hospital admissions (from 110,000 to 51,000 a year) [45] which was maintained after the end of the programme [46].

Souza-Machado 2010, (controlled implementation study, city populations of approximately 2.5 million, D and B = 11) reported an initiative supported by the Brazilian Ministry of Health and city authorities, which promoted individual and/or group patient education, training for family practitioners and pharmacists, and free consultations and prescriptions [44]. The initiative was associated with a rapid reduction in asthma admissions and mortality in contrast to rising mortality and small reduction in admissions in a matched control city. Using a weaker study design, Andrade 2010, (retrospective comparator study, 582 children, D and B = 19) reported a reduction in admissions after a similar intervention in another Brazilian city [43].

Bunik 2011, (five year repeated measures study, 1,797 clinic attendees, D and B = 15) evaluated a six-month quality improvement programme in US secondary care in which a multidisciplinary team met fortnightly to promote professional training, patient education and decision support strategies [36]. Action plan ownership increased but there was no impact on unscheduled care. Swanson 2000 [42], (retrospective comparator study, 400 patients, D and B = 16) demonstrated increased ownership of action plans, and reduced hospitalisations in practices participating in a multi-faceted initiative to promote self-management in UK primary care.

Two before-and-after studies observed improved markers of asthma control and reduced unscheduled care in multi-level self-management interventions targeting deprived communities [37, 38]. In the context of pre-school centres, Findlay 2011 [37], (before and after study, 35 centres, 1,908 families, D and B = 17) recorded the greatest benefits in children exposed to the combination of pre-school centre, parent and physician components of the intervention. Polivka 2011 [38], (before and after study, 243 families, D and B = 18) provided self-management education in the context of an intervention focused on poor housing (including funding repairs).


Statement of principal findings

This review has shown that complex whole systems interventions that explicitly address patient education, professional training and organisational commitment are associated with improvement in process measures [3638, 4247], markers of asthma control [37, 38, 42, 44, 45], and reduced use of unscheduled healthcare [37, 38, 4246]. Large scale initiatives that include collaborations with national or regional authorities and health services can reduce hospital admissions [4346], deaths [44, 45], and time off work [45]. Quality improvement programmes in individual practices or services can improve ownership of personal asthma action plans [3638, 42], and reduce morbidity [37, 38, 42].

Our findings (illustrated in Fig. 3) also demonstrate that, individually, the separate components (professional, patient, organisation) of comprehensive self-management support do not appear to be sufficient consistently to improve outcomes in asthma. Improving professionals’ knowledge on its own does not improve clinical outcomes [30, 39]. Targeting the organisation to facilitate structured reviews improves process measures but does not impact on clinical outcomes [40, 42]. Targeting the patient is related to significant changes in some process and intermediate measures (increase in knowledge [34], ownership of an action plan [30], or improved ratio of preventer to reliever medication [32],) with variable effects on clinical outcomes [31, 33, 35].

Strengths and limitations

The key strength of this study is that it focused on a relatively neglected phase in the assessment of complex interventions [14, 15]. The lack of clearly defined terminology to describe implementation research made it difficult to identify sensitive and specific search terms. We used a broad search strategy (and screened 30,279 citations), but nevertheless may have missed some implementation studies. We defined inclusion and exclusion criteria to determine whether a study was actually assessing the implementation of an intervention, but the lack of reporting guidelines in this area [15] meant that the status of a study was not always clear. We may, therefore, have rejected some relevant papers because key information was not available, although doubtful papers were not rejected without discussion amongst the core team.

Routinely collected data were used in 10 studies [31, 32, 3436, 3941, 4446], and some authors commented that information from clinical records may have been incomplete or misleading [34, 37, 39, 41]. Use of routine data, however, allows the ‘real world’ effectiveness of an intervention to be assessed using data from whole clinically eligible populations. Many studies included a broad range of outcomes in each of the categories in our Harvest plot. Combining these, potentially heterogeneous, findings involved some interpretation. To minimise the subjectivity of this process, we specified criteria (that is, defined primary outcomes, data from whole populations, adequate power, validated measures and minimum clinically important difference) that enabled us to prioritise outcomes when the results conflicted. For clarity, we hatched the three columns of the Harvest plot that combined inconsistent findings (See Additional file 5: Table S5 for details). Different decisions in these three cases would not have changed our overall conclusions.

This review was part of a large commissioned, policy-focused overview, and time constraints meant that initial screening of titles and abstracts was conducted by a single reviewer. However, we undertook training at each stage, instituted systematic checks (10 % of abstracts, 25 % of full-text screening) and checked all data extraction. Similarly, for practical reasons we excluded non-English language publications.

The challenge of reviewing implementation research

Overall, the evidence base for asthma self-management support was more extensive and of better quality than for the other 13 long term conditions (listed in Table 1) we reviewed in the PRISMS study (data not presented) [22]. However, some studies in our asthma sample were methodologically less robust and whilst they offer some useful insights, they need to be interpreted with caution. There is no definitive classification of the diverse methodologies appropriate to implementation research (merely the implication that diverse methodologies will be appropriate [14]). We, therefore, built on existing literature [49] to develop a hierarchy of evidence (Fig. 1). We also had to accommodate extreme variation in the size of the asthma populations studied (from 135 schoolchildren [47] to a national population of approximately 350,000 people [45]). The D and B quality score did not reflect many of the key quality criteria of these implementation studies. Reporting guidelines for implementation research are currently being developed [24], work that may lead to the development of a quality checklist specifically designed to assess diverse implementation studies.

We reflected all these variables in our descriptions of our findings, so that outcomes from pragmatic randomised trials [30, 32, 34, 35, 39, 40], or from national interrupted time series analyses [45, 46], or a city-wide controlled implementation study [44] were given more credence than smaller, less robust or poorer quality studies.

Heterogeneity precluded meta-analysis but use of ‘harvest plots’, developed to illustrate the ‘differential effects of population-level interventions’ and particularly relevant for informing policy-makers, commissioners and health service managers [29], allowed us to illustrate our findings giving differential weight to different designs, size and quality of study.

Interpretation of findings

Our findings strongly support a whole systems approach to implementing supported self-management for people with asthma [28], as a key component of high quality, proactive care [50]. Less effective interventions were characterised by the targeting of only one component of the system (professionals or patients or organisations) and sometimes by limited intensity (too little, for too short a time) of the intervention. Effective interventions tended to be multi-faceted and multi-disciplinary; actively engaging patients, and training and motivating professionals within the context of an organisation that prioritised, actively supported and monitored self-management. Future research should focus on how such whole systems interventions may be integrated into the routine care of people with asthma (including adults, children, people with additional co-morbidities and demographically or culturally diverse communities), and evaluate the clinical and cost-effectiveness of this approach.

Authors of the included studies identified a number of factors associated with the successful implementation of self-management support (see Table 3): commitment of the local healthcare system [4345] and/or the local practice or clinic [42] to this model of care; professional training in self-management [36, 37, 45]; on-going evaluation and audit [45]; collaborative multidisciplinary working [36, 44, 45]; effective patient education supported by regular reviews [37, 44]; and partnership with patients [37]. Our findings suggest that the culture of the organisation is pivotal, as it underpins and enables integration of self-management principles into the routines of clinical care, thereby allowing the impact of patient and professional interventions to be realised [4446]. This resonates with Greenhalgh et al’s finding that individual practitioners can adopt an organisational-level innovation only if the organisational structure, culture, climate and resources are conducive to such adoption [51].

The context of high quality asthma care

Many of the interventions in the included studies were introduced in the context of generally improving services for people with asthma. Specific examples are the national programme in Finland [45, 46], the regional programmes in Brazilian cities [44] and a local initiative in Scotland [42]. In each of these, self-management was highlighted as a core component by the authors [42, 44, 45], but other aspects of the service improvement will have contributed to the improved outcomes. This reinforces our key conclusion: supported self-management is most likely to be effective when it is implemented as a core component of proactive routine care which trains and empowers professionals to deliver and patients to embrace self-management.


The RCT evidence for the efficacy of self-management in asthma is extensive and overwhelmingly positive [14, 22]. Our findings suggest that self-management support can be implemented effectively in routine practice with significant improvements in morbidity and even mortality. Effective initiatives are promoted by policies that ensure meaningful adoption by health services, provide professional training and support, and focus on self-management education for patients in the context of high quality proactive disease management. A parallel synthesis of heath economic evidence concluded that in respiratory disease there was a consistent reduction in healthcare utilisation [52], which may mitigate the cost of delivering multi-level self-management support interventions. Commissioners and providers of services for people with asthma should consider how they can promote a culture of actively supporting self-management as a normal, expected, monitored and rewarded aspect of the provision of care.


D and B:

Downs and Black checklist

D and I:

dissemination and implementation research


managed care organisation


randomised controlled trial


United Kingdom


United States


  1. Gibson PG, Powell H, Wilson A, Abramson MJ, Haywood P, Bauman A, et al. Self-management education and regular practitioner review for adults with asthma. Cochrane Database Syst Rev. 2002; Issue 3, Art No. CD001117. doi:10.1002/14651858.CD001117.

  2. Bhogal SK, Zemek RL, Ducharme F. Written action plans for asthma in children. Cochrane Database Syst Rev. 2006; Issue 3, Art No. CD005306. doi:10.1002/14651858.CD005306.pub2.

  3. Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention 2014 update. Accessed 1 Oct 2014.

  4. British Thoracic Society/Scottish Intercollegiate Guideline Network. British Guideline on the Management of Asthma. 2014 update. Accessed 24 May 2015.

  5. 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. BMJ. 1990;301:651–3.

    Article  Google Scholar 

  6. World Health Organization. Innovative care for chronic conditions: building blocks for action. Geneva: WHO; 2002. Accessed 24 May 2015.

    Google Scholar 

  7. Department of Health. Quality, innovation, productivity and prevention (QIPP) work-stream for patients with LTCs. London: Department of Health; 2010.

    Google Scholar 

  8. Asthma UK. Time to take action on asthma. London: Asthma UK; 2014. Accessed 5 Jan 2015.

    Google Scholar 

  9. Wiener-Ogilvie S, Pinnock H, Huby G, Sheikh A, Partridge MR, Gillies J. Do practices comply with key recommendations of the British Asthma Guideline? If not, why not? Prim Care Respir J. 2007;16:369–77.

    Article  PubMed  Google Scholar 

  10. Stallberg B, Lisspers K, Hasselgren M, Janson C, Johansson G, Svardsudd K. Asthma control in primary care in Sweden: a comparison between 2001 and 2005. Prim Care Respir J. 2009;18:279–86.

    Article  PubMed  Google Scholar 

  11. Centers for Disease Control and Prevention. Asthma Facts—CDC’s National Asthma Control Program Grantees. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2013.

    Google Scholar 

  12. Sulaiman N, Aroni R, Thien F, Schattner R, Simpson P, Del Colle E, et al. Written Asthma Action Plans (WAAPs) in Melbourne general practices: a sequential mixed methods study. Prim Care Respir J. 2011;20:161–9.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  14. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: new guidance. London: Medical Research Council; 2008. Accessed 1 Oct 2014.

    Google Scholar 

  15. Pinnock H, Epiphaniou E, Taylor SJC. Phase IV implementation studies: the forgotten finale to the complex intervention methodology framework. Annals Am Thoracic Soc. 2014;11:S118–22.

    Article  Google Scholar 

  16. Cooksey D. A review of UK health research funding. London: Her Majesty’s Stationery Office; 2006.

    Google Scholar 

  17. Peek CJ, Glasgow RE, Stange KC, Klesges LM, Purcell EP, Kessler RS. The 5 R’s: an emerging bold standard for conducting relevant research in a changing world. Ann Fam Med. 2014;12:447–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Colditz GA. The promise and challenge of dissemination and implementation research. In: Bronson RC, Colditz GA, Proctor EK, editors. Dissemination and implementation research in health. Translating science to practice. New York: Oxford University Press; 2012. p. 3–22.

    Chapter  Google Scholar 

  19. Penfield T, Baker MJ, Scoble R, Wykes MC. Assessment, evaluations, and definitions of research impact: a review. Res Eval. 2014;23:21–32.

    Article  Google Scholar 

  20. Birbeck GL, Wiysonge CS, Mills EJ, Frenk J, Zhou XN, Jha P. Global health: the importance of evidence-based medicine. BMC Med. 2013;11:223.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Reeves BC, Deeks JJ, Higgins JP, Wells GA, on behalf of the Cochrane Non-Randomised Studies Methods Group. Including non-randomized studies (Chapter 13). In: Cochrane Handbook. Accessed 1 Oct 2014

  22. Taylor SJ, Pinnock H, Epiphaniou E, Pearce G, Parke H, Schwappach A, 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). Health Serv Deliv Res. 2014, 2: doi:10.3310/hsdr02530.

  23. Higgins JP, Green S. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. Accessed 5 Jan 2015.

  24. Pinnock H, Taylor S, Epiphaniou E, Sheikh A, Griffiths C, Eldridge S, et al. Developing Standards for Reporting Phase IV Implementation studies. Protocol available from Accessed 24 May 2015.

  25. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Reddel HK, Taylor DR, Bateman ED, Boulet LP, Boushey HA, Busse WW, et al. An 0fficial American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med. 2009;180:59–99.

    Article  PubMed  Google Scholar 

  27. Worth A, Hammersley V, Knibb R, Flokstra-de-Blok B, Dunn-Galvin A, Walker S, et al. Patient-reported outcome measures for asthma: a systematic review. Prim Care Respir Med. 2014;24:14020.

    Google Scholar 

  28. Kennedy A, Rogers A, Bower P. Support for self care for patients with chronic disease. BMJ. 2007;337:968–70.

    Article  Google Scholar 

  29. Ogilvie D, Fayter D, Petticrew M, Sowden A, Thoams S, Whitehead M, et al. The harvest plot: a method for synthesising evidence about the differential effects of interventions. BMC Med Res Methodol. 2008;8:8.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Homer CJ, Forbes P, Horvitz L, Peterson LE, Wypij D, Heinrich P. Impact of a quality improvement program on care and outcomes for children with asthma. Arch Pediatr Adolesc Med. 2005;159:464–9.

    Article  PubMed  Google Scholar 

  31. Bunting BA, Cranor CW. The Asheville Project: long-term clinical, humanistic, and economic outcomes of a community-based medication therapy management program for asthma. J Am Pharm Assoc. 2006;46:133–47.

    Article  Google Scholar 

  32. Delaronde S, Peruccio DL, Bauer BJ. Improving asthma treatment in a managed care population. Am J Manag Care. 2005;11:361–8.

    PubMed  Google Scholar 

  33. Forshee JD, Whalen EB, Hackel R, Butt LT, Smeltzer PA, Martin J, et al. The effectiveness of one-on-one nurse education on the outcomes of high-risk adult and pediatric patients with asthma. Manag Care Interface. 1998;11:82–92.

    CAS  PubMed  Google Scholar 

  34. Gerald LB, Redden D, Wittich AR, Hains C, Turner-Henson A, Hemstreet MP, et al. Outcomes for a comprehensive school-based asthma management program. J Sch Health. 2006;76:291–6.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Vollmer WM, Kirshner M, Peters D, Drane A, Stibolt T, Hickey T, et al. Use and impact of an automated telephone outreach system for asthma in a managed care setting. Am J Manag Care. 2006;12:725–33.

    PubMed  Google Scholar 

  36. Bunik M, Federico MJ, Beaty B, Rannie M, Olin JT, Kempe A. Quality improvement for asthma care within a hospital-based teaching clinic. Acad Pediatr. 2011;11:58–65.

    Article  PubMed  Google Scholar 

  37. Findley SE, Thomas G, Madera-Reese R, McLeod N, Kintala S, Andres Martinez R, et al. A community-based strategy for improving asthma management and outcomes for preschoolers. J Urban Health. 2011;88:S85–99.

    Article  Google Scholar 

  38. Polivka BJ, Chaudry RV, Crawford J, Bouton P, Sweet L. Impact of an urban healthy homes intervention. J Environ Health. 2011;73:16–20.

    PubMed  Google Scholar 

  39. Cleland JA, Hall S, Price D, Lee AJ. An exploratory, pragmatic, cluster randomised trial of practice nurse training in the use of asthma action plans. Prim Care Respir J. 2007;16:311–8.

    Article  PubMed  Google Scholar 

  40. Kemple T, Rogers C. A mailed personalised self-management plan improves attendance and increases patients’ understanding of asthma. Prim Care Respir J. 2003;12:110–4.

    Article  Google Scholar 

  41. Pinnock H, Adlem L, Gaskin S, Harris J, Snellgrove C, Sheikh A. Accessibility, clinical effectiveness, and practice costs of providing a telephone option for routine asthma reviews: phase 4 controlled implementation study. Br J Gen Pract. 2007;57:714–22.

    PubMed  PubMed Central  Google Scholar 

  42. Swanson V, Wright S, Power KG, Duncan B, Morgan J, Turner E, et al. The impact of a structured programme of asthma care in general practice. Int J Clin Pract. 2000;54:573–80.

    CAS  PubMed  Google Scholar 

  43. Andrade WC, Camargos P, Lasmar L, Bousquet J. A pediatric asthma management program in a low-income setting resulting in reduced use of health service for acute asthma. Allergy. 2010;65:1472–7.

    Article  CAS  PubMed  Google Scholar 

  44. Souza-Machado C, Souza-Machado A, Franco R, Ponte EV, Barreto ML, Rodrigues LC, et al. Rapid reduction in hospitalisations after an intervention to manage severe asthma. Eur Respir J. 2010;35:515–21.

    Article  CAS  PubMed  Google Scholar 

  45. Haahtela T, Tuomisto LE, Pietinalho A, Klaukka T, Erhola M, Kaila M, et al. A 10 year asthma programme in Finland: major change for the better. Thorax. 2006;61:663–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Kauppi P, Linna M, Martikainen J, Mäkelä MJ, Haahtela T. Follow-up of the Finnish Asthma Programme 2000–2010: reduction of hospital burden needs risk group rethinking. Thorax. 2013;68:292–3.

    Article  PubMed  Google Scholar 

  47. Chini L, Iannini R, Chianca M, Corrente S, Graziani S, La Rocca M, et al. Happy air, a successful school-based asthma educational and interventional program for primary school children. J Asthma. 2011;48:419–26.

    Article  PubMed  Google Scholar 

  48. Lindberg M, Ahlner J, Ekström T, Jonsson D, Möller M. Asthma nurse practice improves outcomes and reduces costs in primary health care. Scand J Caring Sci. 2002;16:73–8.

    Article  PubMed  Google Scholar 

  49. Effective Practice and Organisation of Care (EPOC) Review Group. What study designs should be included in an EPOC review and what should they be called? Accessed 24 May 2015.

  50. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1:2–4.

    CAS  PubMed  Google Scholar 

  51. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O, Peacock R. Diffusion of innovations in service organisations: systematic review and recommendations. Milbank Q. 2004;82:581–629.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Panagioti M, Richardson G, Murray E, Rogers A, Kennedy A, Newman S, et al. Reducing Care Utilisation through Self-management Interventions (RECURSIVE): a systematic review and meta-analysis to identify self-management support interventions to reduce health care utilisation without compromising outcomes. Health Serv Deliv Res. 2014;2:1–99. doi:10.3310/hsdr02540.

    Article  Google Scholar 

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We acknowledge John Ribchester (grantholder), Paula Broome who assisted with the administration, and the experts who contributed to the end-of-project workshop.


This project was funded by the National Institute for Health Research Health Services and Delivery Research Programme (project number 11/1014/04). HP was supported by a Primary Care Research Career Award from the Chief Scientist’s Office of the Scottish Government at the time of the study. HP, TG, AS, CG, and ST receive support from the Asthma UK Centre for Applied Research.

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The views and opinions expresses therein are those of the authors and do not necessarily reflect those of the HS&DR programme, NIHR, NHS or the Department of Health.

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Correspondence to Hilary Pinnock.

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Competing interests

All authors have completed the ICMJE uniform disclosure form at and declare; the submitted work was funded by a grant from the National Institute for Health Research Health Services and Delivery Research Programme; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; HP chairs the self-management evidence review group for the British Thoracic Society/Scottish Intercollegiate Guideline Network Asthma guideline; no other relationships or activities that could appear to have influenced the submitted work.

Authors’ contributions

ST and HP initiated the idea for the study, led the development of the protocol, securing of funding, study administration, data analysis, interpretation of results and writing of the paper. CG, AS and TG were grant holders who contributed to the development of the protocol, the securing of funding, the interpretation of results and the writing of the paper. EE, HLP and GP were systematic reviewers who undertook searching, selection of papers and data extraction with ST and HP. All authors had full access to all the data, and were involved in interpretation of the data. HP and EE wrote the initial draft of the paper, to which all the authors contributed. ST and HP are study guarantors. All authors read and approved the final manuscript.

Additional files

Additional file 1:

Search Strategy. 1.1 Basic search strategy for all databases. 1.2 Detailed search terms: specific LTCs. 1.3 Search terms: specific databases. 1.4 Self-management support terms.

Additional file 2:

Exclusion criteria.

Additional file 3:

Description of studies, participants and service implementation.

Additional file 4:

Summary of the findings of the included studies.

Additional file 5:

All results as reported in the included papers and the decision process underpinning the Harvest plot.

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

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