Abstract
The evidence base regarding treatment for back pain does not align with clinical practice. Currently there is relatively little evidence to guide health decision-makers on how to improve the use, uptake or adoption of evidence-based recommended practice for low back pain. Improving the design, conduct and reporting of strategies to improve the implementation of back pain care will help address this important evidence-practice gap. In this paper, we
- 1)
Describe implementation science models and approaches.
- 2)
Outline important features of implementation research.
- 3)
Critically appraise the quality and findings of implementation trials in the low back pain field.
- 4)
Provide recommendations for the design and conduct of future implementation studies in the field.
Introduction
The burden of low back pain is well documented. The condition is the leading cause of disability globally in terms of years lived with disability and was estimated to affect 539 million people worldwide in 2015 . Across the globe, a relatively large body of evidence has been produced aiming to reduce this burden. However, research can only affect the health of patients if it is used in practice.
As noted elsewhere is this special edition, clinical practice guidelines for low back pain have been developed to guide the provision of evidence-based clinical care through the explicit recommendation of best practice, based on the synthesis of the large body of research. Many such guidelines exist for low back pain internationally, and their recommendations are strikingly consistent. Arguably, this reflects reliability in the development of low back pain guidelines and their ‘evidence-based’ recommendations, providing a benchmark for best practice evidence-based care for low back pain.
Despite the availability and consistency of guidelines relating to low back pain care, studies have shown that guideline recommended care is not implemented in routine clinical practice. An array of reasons for the failure of guidelines to affect actual care, often relating to barriers to patient and clinician uptake, has been reported. More recently, however, the role of guidelines in changing practice has been questioned, with passive dissemination of guidelines usually not effective in translating evidence to practice . The need for active translation processes to improve the quality of routine care and adopt evidence-based management is now well accepted because guidelines by themselves do not change practice .
Research translation and implementation research
The process of translating research into therapeutic benefits for patients has been described in a five-stage model by the US National Institute of Health . Early translation phases (T1 and T2) focus on basic science, epidemiology and testing the efficacy of health interventions. The third translation phase or ‘T3’ encompasses research designed to increase implementation of evidence-based interventions, practices or policies . In understanding this model, it is essential to differentiate the act of implementation itself from research designed to inform implementation. Implementation itself is the use of strategies to increase the use, uptake, adoption or integration of health interventions, to change practice patterns within specific settings . Implementation research is the study of those ‘implementation strategies’, designed to integrate evidence, increase the use or adoption of policy, or change practice (i.e. achieve successful ‘implementation’) . Implementation research that assesses and compares implementation strategies provides an empirical basis to guide decisions of how to best improve the implementation of clinical guidelines. It is also important to note that implementation research comes with its own set of outcomes, which are distinct from clinical outcomes. Typical outcomes assessed in trials for implementation strategies include, clinician adherence to recommended treatment approaches and rates of (appropriate or inappropriate) referral for medical tests.
The National Institute of Health highlights implementation research as a fundamental component of research translation and a necessary pre-requisite for research to yield health improvements . In the back pain field, dedicated implementation research is required to improve the quality of care provided to patients and reduce the global impact of the condition by maximising the translation of guideline recommendations and research findings. In this paper we (a) discuss implementation models and approaches, (b) discuss the important features of implementation research and (c) critically appraise the quality of implementation research in the low back pain field, including a summary of what implementation strategies have been found to be effective. We conclude with recommendations for the design and conduct of future implementation studies in the field.
Implementation models, theories and frameworks
Implementation science is an emerging field of research. The field draws on a number of theoretical models and frameworks to guide the approach, selection of implementation strategies and methods of evaluation. As synthesized in a recent taxonomy, there are numerous implementation models, theories and frameworks that aim to (a) describe and/or guide the process of translating research into practice (process models), (b) understand and/or explain what influences implementation outcomes (determinant frameworks, classic theories and implementation theories) and (c) evaluate implementation strategies (evaluation frameworks) . The taxonomy of approaches by Nilsen provides an opportunity to facilitate consistency and comparability between studies, examples of which are described below
- a)
Guiding translation
Process models
Process models used in implementation science aim to provide guidance regarding the steps involved in translating evidence into practice. These models, otherwise known as research-to-practice or knowledge-to-action models, typically describe the steps required following the generation of research evidence regarding detailed and careful planning and how to execute implementation strategies to maximise research translation. Such process models include the National Institute of Health 5 stages of research translation, the Knowledge-to-Action Framework and the Quality Implementation Framework (QIF). The QIF for example, describes 14 specific steps to facilitate implementation across four phases: initial considerations regarding a host setting, creating a structure for implementation, ongoing structure once the implementation begins and improving future applications ( Table 1 ). Such process models can be used in intervention trials to ensure that appropriate and systematic consideration is given during the planning phase to factors relevant to maximising research translation in the selected host setting.
- b)
Understanding what influences implementation outcomes
Phase 1. Initiation Considerations Regarding the Host Setting | |
Self-assessment strategies |
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Decisions about adaptation |
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Capacity-building strategies |
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Phase 2. Creating a Structure for Implementation | |
Structural Features for Implementation |
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Phase 3. Ongoing Structure Once Implementation Begins | |
Ongoing Implementation Support Strategies |
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Phase 4. Improving Future Applications | |
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Determinant frameworks
Determinant frameworks describe the factors that are theoretically linked or have been shown to be associated with implementation outcomes. Determinants are typically categorised as either barriers (that hinder) or enablers (that facilitate) to implementation. Identification of the barriers and enablers to implementation is important in the design of implementation strategies. Examples of determinant frameworks include the active implementation framework, the ecological framework and the theoretical domains framework (TDF). The TDF has previously been applied to low back pain research . It draws on organisational change theories and defines 14 domains such as ‘Knowledge’, ‘Skills’, ‘Beliefs about Capabilities’ and ‘Environmental Context and Resources’ ( Table 2 ). The TDF also has a process for identifying barriers to implementation and selecting appropriate implementation strategies to address them. Determinant frameworks are best applied in the design phase of implementation trials to identify both the barriers and enablers to implementation within the target population group and setting and choose implementation strategies that may be effective in addressing them.
Domain (definition) | Constructs |
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1. Knowledge (an awareness of the existence of something) | Knowledge (including knowledge of condition/scientific rationale); Procedural knowledge; Knowledge of task environment |
2. Skills (an ability or proficiency acquired through practice) | Skills; Skill development; Competence; Ability; Interpersonal skills; Practice; Skill assessment |
3. Social/Professional Role and Identify (A coherent set of behaviours and displayed personal qualities of an individual in a social or work setting) | Professional identity; Professional role; Social identity; Identity; Professional boundaries; Professional confidence; Group identity; Leadership; Organisational commitment |
4. Beliefs about Capabilities (Acceptance of the truth, reality or validity about an ability, talent or facility that a person can put to constructive use) | Self-confidence; Perceived competence; Self-efficacy; Perceived behavioural control; Beliefs; Self-esteem; Empowerment; Professional confidence |
5. Optimism (The confidence that things will happen for the best or that desired goals will be attained) | Optimism; Pessimism; Unrealistic optimism; Identify |
6. Beliefs about Consequences (Acceptance of the truth, reality or validity about outcomes of a behaviour in a given situation) | Beliefs; Outcome expectancies; Characteristics of outcome expectancies; Anticipated regret; Consequents |
7. Reinforcement (Increasing the probability of a response by arranging a dependent relationship, or contingency, between the response and a given stimulus) | Rewards (proximal/distal, valued/not valued, probable/improbable); Incentives; Punishment; Consequents; Reinforcement; Contingencies; Sanctions |
8. Intentions (A conscious decision to perform a behaviour or a resolve to act in a certain way) | Stability of intentions; Stages of change model; Transtheoretical model and stages of change |
9. Goals (Mental representations of outcomes or end states that an individual wants to achieve) | Goals (distal/proximal); Goal priority; Goal/target setting; Goals (autonomous/controlled); Action planning; Implementation intention |
10. Memory, Attention and Decision Processes (The ability to retain information, focus selectively on aspects of the environment and choose between two or more alternatives) | Memory; Attention; Attention control; Decision-making; Cognitive overload/tiredness |
11. Environmental Context and Resources (Any circumstance of a person’s situation or environment that discourages or encourages the development of skills and abilities, independence, social competence and adaptive behaviour) | Environmental stressors; Resources/material resources; Organisational culture/climate; Salient events/critical incidents; Person × environment interaction; Barriers and facilitators |
12. Social influences (Those interpersonal processes that can cause individuals to change their thoughts, feelings or behaviours) | Social pressure; Social norms; Group conformity; Social comparisons; Group norms; Social support; Power; Intergroup conflict; Alienation; Group identity; Modelling |
13. Emotion (A complex reaction pattern, involving experiential, behavioural and physiological elements, by which the individual attempts to deal with a personally significant matter or event) | Fear; Anxiety; Affect; Stress; Depression; Positive/negative affect; Burn-out |
14. Behavioural Regulation (Anything aimed at managing or changing objectively observed or measured actions) | Self-monitoring; Breaking habit; Action planning |
Classic theories
Classic theories are rooted in other fields such as psychology and seek to explain individual behavioural processes and have been adapted and applied in the field of implementation. These include psychological behaviour change theories (e.g. theory of planned behaviour or theory of reasoned action), sociological theories (e.g. social capital theories) and organisational theories (e.g. situated change theory). The theory of diffusion, which describes the influence of individuals such as opinion leaders and change agents in the adoption and implementation of interventions, is also a classic theory . Classic theories such as behaviour change theories may be best applied in the planning phase of implementation trials to identify and understand individual behaviours or processes that may be a barrier or enabler to successful implementation in a particular setting. Such individual behaviours or processes can then be considered in the selection of implementation strategies to maximise successful implementation.
Implementation theories
Implementation theories are typically behavioural theories that have been adapted for understanding a particular aspect of implementation. These include organisational readiness theory and the normalisation process theory (NPT) , which both aim to understand how and why organisations differ in their adoption of interventions. The organisational readiness theory proposes that organisational readiness for change is a multi-level construct. One level applies to organisational commitment and efficacy for collective change, the second level is individual appraisal of implementation capability based on determinants of task demands, resource availability and situational factors . The NPT focuses on the identification of barriers or enablers to the implementation of complex interventions into routine practice . The application of the NPT focuses on four components of how an intervention becomes normalised by individuals and groups: coherence (or sense-making), cognitive participation (or engagement), collective action (work to enable the intervention to happen), and reflexive monitoring (formal and informal appraisal of the benefits and costs of the intervention) . Such implementation theories can be applied in the planning phase of intervention trials to identify the readiness of organisations for change and inform implementation strategy selection to enhance organisational commitment or resource availability. Such theories can also be applied to help understand or explain different levels of implementation in different settings or organisations.
- c)
Evaluation frameworks
Evaluation frameworks describe aspects of implementation processes or outcomes that can be evaluated to assess their impact, such as the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework ( Table 3 ). It is noted that various other models such as the theoretical domains framework and NPT can also be used for evaluation purposes as they also describe measurable aspects of implementation. Evaluation frameworks are best used to inform the implementation processes and outcomes that will be assessed to measure implementation effectiveness.
Dimension | Level |
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Reach (proportion of the target population that participated in the intervention) | Individual |
Efficacy (success rate if implemented as in guidelines; defined as positive outcomes minimum negative outcomes) | Individual |
Adoption (proportion of settings, practices and plans that will adopt this intervention) | Organisation |
Implementation (extent to which the intervention is implemented as intended in the real world) | Organisation |
Maintenance (extent to which a programme is sustained over time) | Individual and Organisation |
Important features of implementation research: improving the quality and efficiency
As a scientific discipline, implementation science is in its relative infancy. For example, just 2% of systematic reviews of health interventions report the findings of implementation trials . Furthermore, the quality of implementation research has been criticised . Implementation trials should possess the same methodological attributes considered to increase internal validity, such as those outlined by Medical Research Council guidance . For example, for the purposes of testing implementation intervention effectiveness, randomised controlled trials (RCTs) have lower risk of bias than other research designs. Concealed allocation and masking where possible are appropriate. This is because the same risks of bias apparent in the research of patient-level treatments apply to implementation research. Just as there are reporting guidelines such as CONSORT to improve the clarity and consistency of RCTs, a reporting guideline has been recently been released for implementation studies. Preparation of study reports according to the Standards for Reporting Implementation studies of complex interventions (StaRI) guidelines will help generate an interpretable and comparable evidence base in the area.
There are, however, several additional considerations important in the design, conduct and reporting of implementation research. We propose three particular areas of consideration: theoretically informed development of implementation strategies that target identified barriers and enablers, categorisation of implementation strategies using standardised terminology, and evaluating the effectiveness on individual and implementation outcomes and on the cost of intervention delivery and adverse events. Close attention to these issues has the potential to advance the science of implementation.
- a)
Appropriate intervention development including use of theory or empirical evidence to address identified barriers and enablers
It is recommended that the development of implementation interventions should be guided by an appropriate theory or implementation framework such as those described above. Recognising the inherent complexity in implementing best practice, formative evaluation to appropriately identify and consider questions about context and barriers to change is required to guide any implementation approach. The use of theory or implementation frameworks helps ensure that researchers consider relevant barriers and enablers in the design of implementation strategies. This application of theory or conceptual models in the design of implementation strategies can make explicit the mechanism(s) by which implementation strategies are hypothesised to work, enabling researchers to identify both if and how implementation strategies may improve practice. The importance of their use is supported by findings of systematic reviews, which suggest that the application of such theory and frameworks is associated with more effective implementation . Among the most comprehensive is the TDF, as described above, which has been applied in the development of successful interventions to improve clinical practice.
- b)
Categorisation of implementation strategies using standard terminology
Inconsistent use of terminology is a problem for implementation science as it obstructs attempts to synthesise and understand implementation processes and outcomes . A number of attempts have been made to consolidate and standardise terminology. Of particular importance is the use of taxonomies in the description of implementation strategies. Among the most popular include the intervention taxonomy (ITAX) and the Effective Practice and Organisation of Care (EPOC) taxonomy . ITAX provides a comprehensive description of the features of implementation strategies, including the mode of delivery, schedule, adaptability and other characteristics . The EPOC taxonomy has been designed to help describe and categorise health system interventions . The EPOC taxonomy was recently updated to ensure greater alignment with other taxonomies used to classify health system interventions, and it includes four major domains: delivery arrangements, financial arrangements, governance arrangements and implementation strategies . While it is primarily used to assist the classification and synthesis of implementation strategies in systematic reviews, the taxonomy also provides researchers with terminology to describe implementation strategies in individual trials .
- c)
Appropriate outcomes for implementation research: individual, implementation, cost and adverse events
While the process of research translation typically involves the use or adoption of known effective treatments in routine care, assessment of both implementation and patient outcomes are essential in implementation trials. This is to understand whether selected implementation strategies influence the use of the targeted treatment or practice and whether such practice changes in turn affect patient outcomes. For example, an implementation strategy may be effective in improving implementation outcomes but not affect patient outcomes because of natural adaptions in the delivery of the treatment in routine care. Arguably, such understanding is necessary to avert continued implementation and investment in policy or practice that does not affect real-world patient outcomes.
Implementation strategies can also cause harm. For example, the introduction of new interventions into clinical systems can displace other important clinical practices, or incorrect implementation could increase the risk of adverse patient outcomes. Policy-makers and practitioners need to weigh the benefits of implementation of effective interventions with potential unintended harms when making decisions regarding therapeutic intervention or health service investment. As such, evaluation of implementation strategies should include evaluation of both benefits and harms. The cost of implementation is also a fundamental consideration for health services that need to manage finite resources. A recent review of 91 systematic reviews in primary care to improve the implementation of complex interventions concluded that evidence on cost-effectiveness was limited and reporting on costs was scarce and of low quality. Reporting of cost data, or formal cost analyses, as part of trials of implementation strategies would help fill this gap.
Critical appraisal of implementation studies in low back pain
We searched the Cochrane library and PubMed [using the search terms (‘low back pain’ OR ‘musculoskeletal conditions’) AND ‘implementation’ AND ‘review’)] to identify reviews that assessed the effectiveness of implementation strategies to improve the implementation of low back pain care. We then summarised and appraised the individual studies included in the reviews according to methods (attention to the three important features of implementation research outlined above and risk of bias assessment) and content (which implementation strategies are effective).
Characteristics of individual studies
Twenty-one unique trials were included in the five identified systematic reviews (see Table 4 ). Three studies were excluded because they did not report an explicit implementation strategy. One study aimed to improve the implementation of low back pain care guidelines but did not include an implementation strategy and two studies assessed the publication of guidelines without the addition of active implementation strategies . Collectively, these excluded studies provide some evidence that passive dissemination of guidelines is not effective in changing practice .
Study/Year/Country | Study characteristics | Study quality risk of bias implementation study quality criteria | Study findings |
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Baker 1987, USA | Study design: Interrupted time series; Participants: number of providers not reported. number of tests 1443 in control year and 759 in experimental year; Setting: Hospital;
Patient outcomes: None. | Overall: Low Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Empirical evidence informed intervention: NR Taxonomy used to describe implementation strategies: NR Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention was more effective than control on the use of lumbosacral spine radiography. |
Becker 2008, Germany | Study design: C-RCT Participants: 126 GPs from 118 practices, 1378 participants; Setting: Primary care Intervention:
| Sequence generation: Low Allocation concealment: Low Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Low/Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies. Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited from two systematic reviews. Implementation outcomes: NR Patient outcomes: Yes Cost analysis: Yes (reported separately) Adverse events: NR | Intervention 2 was more effective than control on functional capacity at 6 months, but not 12 months. Intervention 1 was not effective on functional capacity at 6 months or 12 months. Intervention 1 and 2 were effective on the number of pain days at 6 and 12 months. |
Bekkering 2005, The Netherlands | Study design: C-RCT Participants: 113 physiotherapists Setting: Primary care physiotherapy practices
Patient outcomes: Physical function, pain, sick leave. | Overall: Low Theoretically informed intervention: Yes – Grol 1994 Intervention targeted identified barriers/enablers: Yes – previous studies and previous survey of Dutch physiotherapists Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence Implementation outcomes: Yes Patient outcomes: Yes Cost analysis: NR Adverse events: NR | The intervention was more effective than the comparison in limiting physiotherapist treatment sessions for patients with normal course of back pain, setting functional treatment goals, using mainly active interventions, giving adequate patient education and adhering to recommended treatment approach criteria. Physical functioning and pain in the two groups improved substantially in the first 12 weeks; however, no difference was found between the intervention and comparison groups at follow-up. |
Bishop 2006, Canada | Study design: RCT Participants: 462 GPs, 428 patients Setting: Primary care Intervention:
Implementation outcomes: Concordance with specific clinical guidelines-derived history-taking items, physical examination procedures and treatment recommendations. Patient outcomes: None. | Sequence generation: Low Allocation concealment: High Blinding of participants: NR Blinding of outcome assessment: Unclear Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention was more effective than usual care in guideline-concordant treatments of prolonged bed rest, passive therapies and recommendations for aerobic exercise. |
Dey 2004, UK | Study design: C-RCT Participants: 24 practices, 2187 patients Setting: Primary care
Patient outcomes: None. | Sequence generation: Low Allocation concealment: Low Blinding of participants: NR Blinding of outcome assessment: High Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Low Theoretically informed intervention: Yes – ‘elaboration likelihood model of persuasion’ was used in part to inform the intervention Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention was more effective than standard practice in referring patients to physiotherapy or a back pain unit. There was no effect of the intervention on the proportion of patients referred for X-ray, issued with a sickness certificate, prescribed opioids or muscle relaxants or referred to secondary care. |
Eccles 2001, UK | Study design: C-RCT (2 × 2 factorial design) Participants: General practitioners from 247 practices Setting: Primary care Intervention:
Patient outcomes: None. | Sequence generation: Low Allocation concealment: Low Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited for specific prompts at time of consultation and audit and feedback Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention of routine attachment of educational reminder messages on X-ray results was more effective than control in reducing the request rate of lumbar radiographs. No effect of a 6 monthly feedback of audit data intervention on reducing the request rate of lumbar radiographs. |
Engers 2005, The Netherlands | Study design: C-RCT Participants: 41 GPs, 531 patients Setting: Primary care
Patient outcomes: None. | Sequence generation: Low Allocation concealment: High Blinding of participants: NR Blinding of outcome assessment: High Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: High Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies cited Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited for distribution of the guideline for occupational physicians and scientific articles concerning GP management of nonspecific low back pain. Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | No effect of the intervention of advice and education provided; prescription of paracetamol or NSAIDs; or the overall number of referrals to physical therapist, exercise therapist or manual therapist. |
French 2013, Australia | Study design: C-RCT Participants: 78 practices, 92 GPs Setting: Primary care
Patient outcomes: Planned, but not measured because of low numbers of patients recruited. | Sequence generation: Low Allocation concealment: Low Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: High Selective outcome reporting: High Other risk of bias: High Theoretically informed intervention: Yes, Theoretical Domains Framework Intervention targeted identified barriers/enablers: Yes – focus group interviews with GPs Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – strategies selected using a mapping tool Implementation outcomes: Yes Patient outcomes: No Cost analysis: Yes Adverse events: NR | The intervention was more effective than usual care in the GP’s intention of practising consistency with the guidelines for the clinical behaviour of X-ray referral, GPs adherence to guideline recommendations about X-ray and advice to stay active. There was no effect of the intervention on imaging referral. |
Goldberg 2001, USA | Study design: RCT Participants: Spine surgeons, primary care physicians, patients who were surgical candidates, and hospital administrators Setting: Entire communities
Patient outcomes: None | Overall: High Sequence generation: High Allocation concealment: Unclear Blinding of participants: Unclear Blinding of outcome assessment: Unclear Incomplete outcome data: High Selective outcome reporting: Low Other risk of bias: Low Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies cited and consultation with clinicians and administrators. Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: No Cost analysis: Yes (reported intervention cost) Adverse events: NR | The intervention was effective in reducing surgical rates compared to usual care. |
Hazard 1997, USA | Study design: RCT Participants: 59 patients Setting: primary care
Patient outcomes: 3-month work absence rate, disability (VDPQ score), satisfaction with health care, impact of health care on return to work, days of work loss, days until first return to work. | Sequence generation: Low Allocation concealment: High Blinding of participants: NR Blinding of outcome assessment: High Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: Yes Cost analysis: NR Adverse events: NR | No effect of the intervention on 3-month work absence rate, pain, satisfaction with health care, impact of health care on return to work, days or work loss, or days until first return to work. |
Kerry 2000, UK | Study design: C-RCT Participants: 69 practices, 175 GPs, 43,778 radiological requests; Setting: Primary care
Patient outcomes: None | Sequence generation: Low Allocation concealment: Unclear Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: Low Selective outcome reporting: High Other risk of bias: Low Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies citing GP lack of guidelines knowledge. Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical (conflicting) evidence cited for end-user involvement in guideline development. Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | No intervention effect on the total number of X-ray requests. Practices that followed the guidelines requested significantly fewer spinal examinations than standard practice. |
Matowe 2002, UK | Study design: Interrupted time series Participants: Number of practices and providers not reported. Analysis included 117,747 imaging requests; Setting: Primary care
Patient outcomes: None | Overall: Low Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | There were no significant effects of the intervention on the total number of requests or requests for individual examinations. |
Oakeshott 1994, UK | Study design: C-RCT Participants: 62 practices, analysis was of 2578 X-ray examinations Setting: Primary care
Patient outcomes: None. | Sequence generation: Unclear Allocation concealment: Unclear Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: Low Selective outcome reporting: Unclear Other risk of bias: Low Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | Practices that received the guidelines requested significantly fewer spinal examinations and made significantly higher proportion of requests than those that did not. No intervention effects on the proportion of forms giving physical findings or the proportion of positive findings in radiology. |
Robling 2002, UK | Study design: C-RCT Participants: 30 practices, 182 MRI requests Setting: Primary care
Patient outcomes: None | Sequence generation: Low Allocation concealment: Unclear Blinding of participants: NR Blinding of outcome assessment: Unclear Incomplete outcome data: Unclear Selective outcome reporting: Unclear Other risk of bias: Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited for GP education Implementation outcomes: Yes Patient outcomes: NR Cost analysis: Yes – intervention cost Adverse events: NR | No significant differences were found between the four intervention groups in the proportion of MRI requests, which are in concordance with guidelines. |
Rossignol 2000, Canada | Study design: RCT Participants: 110 patients Setting: Primary care
Patient outcomes: return to work; function; health care consumption; satisfaction. | Sequence generation: Low Allocation concealment: Unclear Blinding of participants: NR Blinding of outcome assessment: Low Incomplete outcome data: Unclear Selective outcome reporting: Unclear Other risk of bias: High Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: Yes Cost analysis: NR Adverse events: NR | The intervention group used significantly less specialised imaging tests of the spine at 6 months than control. At 6 month follow-up, there was no effect of the intervention on return to work; however, there was evidence of an intervention effect on 3 of 5 functional recovery outcomes compared to usual care. |
Schectman 2003, USA | Study design: C-RCT Participants: 85 physicians, 2020 patients, 14 group practice sites Setting: Primary care
Patient outcomes: Beliefs about care, satisfaction with care, clinical outcome measures using validated instruments. | Sequence generation: Unclear Allocation concealment: Low Blinding of participants: NR Blinding of outcome assessment: Unclear Incomplete outcome data: Unclear Selective outcome reporting: Unclear Other risk of bias: High Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies Taxonomy used to describe implementation strategies: NR Evidence informed intervention: NR Implementation outcomes: Yes Patient outcomes: Yes Cost analysis: NR Adverse events: NR | Intervention 1 (clinician intervention) was effective in increasing guideline-consistent behaviour compared to control. There was no effect of intervention 2 on guideline-consistent behaviour compared to control. |
Stevenson 2006, UK | Study design: C-RCT Participants: 30 physiotherapists Setting: Primary care
Patient outcomes: None. | Overall: High Sequence generation: Unclear Allocation concealment: Unclear Blinding of participants: Low Blinding of outcome assessment: Low Incomplete outcome data: Low Selective outcome reporting: Low Other risk of bias: High Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: Yes – previous studies cited. Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited for continual medical education, printed educational material, feedback, clinical guidelines and use of opinion leaders. Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention group was more likely than the control group physiotherapists to give ‘advice to increase activity level’ and ‘change attitudes/beliefs about pain’ but was less likely to ‘encourage to undertake activities themselves’. The control group was significantly more likely to ‘use acupuncture’, ‘encourage to undertake activities themselves’ and ‘receive postural advice’ compared with the intervention group. |
Winkens 1995, The Netherlands | Study design: C-RCT Participants: 79 providers Setting: Primary care
Patient outcomes: None. | Sequence generation: Unclear Allocation concealment: Unclear Blinding of participants: NR Blinding of outcome assessment: Unclear Incomplete outcome data: Unclear Selective outcome reporting: Unclear Other risk of bias: Unclear Theoretically informed intervention: NR Intervention targeted identified barriers/enablers: NR Taxonomy used to describe implementation strategies: NR Empirical evidence informed intervention: Yes – empirical evidence cited for GP feedback Implementation outcomes: Yes Patient outcomes: NR Cost analysis: NR Adverse events: NR | The intervention was effective in decreasing the proportion of non-rational requests compared to control. |

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