期刊论文详细信息
Implementation Science
Bridging the gap between pragmatic intervention design and theory: using behavioural science tools to modify an existing quality improvement programme to implement “Sepsis Six”
Sheldon P. Stone4  Caitriona Stapleton3  Sarah Stanley3  Christopher Fuller1  Susan Michie2  Siri H. Steinmo2 
[1] Department of Infectious Disease Informatics, Farr Institute, University College London, London, UK;Department of Clinical, Educational and Health Psychology, University College London, London, UK;Royal Free Hospital, Pond Street, London, UK;University College London Medical School, Rowland Hill Street, London, UK
关键词: Health professional behaviour;    Sepsis;    Sepsis Six;    Behaviour Change Technique Taxonomy;    Theoretical Domains Framework;    P-D-S-A cycle;    Quality improvement;    Implementation intervention;   
Others  :  1235782
DOI  :  10.1186/s13012-016-0376-8
 received in 2015-09-02, accepted in 2016-01-28,  发布年份 2016
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【 摘 要 】

Background

Sepsis has a mortality rate of 40 %, which can be halved if the evidence-based “Sepsis Six” care bundle is implemented within 1 h. UK audit shows low implementation rates. Interventions to improve this have had minimal effects. Quality improvement programmes could be further developed by using theoretical frameworks (Theoretical Domains Framework (TDF)) to modify existing interventions by identifying influences on clinical behaviour and selecting appropriate content. The aim of this study was to illustrate using this process to modify an intervention designed using plan-do-study-act (P-D-S-A) cycles that had achieved partial success in improving Sepsis Six implementation in one hospital.

Methods

Factors influencing implementation were investigated using the TDF to analyse interviews with 34 health professionals. The nursing team who developed and facilitated the intervention used the data to select modifications using the Behaviour Change Technique (BCT) Taxonomy (v1) and the APEASE criteria: affordability, practicability, effectiveness, acceptability, safety and equity.

Results

Five themes were identified as influencing implementation and guided intervention modification. These were:(1) “knowing what to do and why” (TDF domains knowledge, social/professional role and identity); (2) “risks and benefits” (beliefs about consequences), e.g. fear of harming patients through fluid overload acting as a barrier to implementation versus belief in the bundle’s effectiveness acting as a lever to implementation; (3) “working together” (social influences, social/professional role and identity), e.g. team collaboration acting as a lever versus doctor/nurse conflict acting as a barrier; (4) “empowerment and support” (beliefs about capabilities, social/professional role and identity, behavioural regulation, social influences), e.g. involving staff in intervention development acting as a lever versus lack of confidence to challenge colleagues’ decisions not to implement acting as a barrier; (5) “staffing levels” (environmental context and resources), e.g. shortages of doctors at night preventing implementation.

The modified intervention included six new BCTs and consisted of two additional components (Sepsis Six training for the Hospital at Night Co-ordinator; a partnership agreement endorsing engagement of all clinical staff and permitting collegial challenge) and modifications to two existing components (staff education sessions; documents and materials).

Conclusions

This work demonstrates the feasibility of the TDF and BCT Taxonomy (v1) for developing an existing quality improvement intervention. The tools are compatible with the pragmatic P-D-S-A cycle approach generally used in quality improvement work.

【 授权许可】

   
2016 Steinmo et al.

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【 参考文献 】
  • [1]Time to act—severe sepsis: rapid diagnosis and treatment saves lives. Parliamentary and Health Service Ombusdman, London; 2013.
  • [2]Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM et al.. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med. 2012; 41(2):580-637.
  • [3]Daniels R. Key recommendations for sepsis briefing Sutton Coldfield, UK. 2013.
  • [4]College of Emergency Medicine. CEM clinical audits 2011–2012: severe sepsis and septic shock. London; 2012 25 September 2012. Report No
  • [5]Daniels R, Nutbeam T, McNamara G, Galvin C. The sepsis six and the severe sepsis resuscitation bundle: a prospective observational cohort study. Emerg Med J. 2011; 28:507-12.
  • [6]Cronshaw HL. Impact of the Surviving Sepsis Campaign on the recognition and management of severe sepsis in the emergency department: are we failing? Emerg Med J. 2011; 28:670-5.
  • [7]How to put NICE guidance into practice. A guide to implementation for organisations. 2005.
  • [8]Davidoff F, Dixon-Woods M, Leviton L, Michie S. Demystifying theory and its use in improvement. BMJ Qual Saf. 2015; 24:228-38.
  • [9]Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008; 337:1655.
  • [10]Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A et al.. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005; 14(1):26-33.
  • [11]Designing theoretically-informed implementation interventions. Implement Sci. 2006; 1:4. BioMed Central Full Text
  • [12]Davies P, Walker A, Grimshaw J. A systematic review of the use of theory in the design of guideline dissemination and implementation strategies and interpretation of the results of rigorous evaluations. Implement Sci. 2010; 5:14. BioMed Central Full Text
  • [13]Baker R, Camosso-Stefinovic J, Gillies C, Shaw EJ, Cheater F, Flottorp S et al.. Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2010; 3: Article ID CD005470
  • [14]Datta J, Petticrew M. Challenges to evaluating complex interventions: a content analysis of published papers. BMC Pub Health. 2013; 13:568. BioMed Central Full Text
  • [15]Hoffman TC, Erueti C, Glasziou PP. Poor description of non-pharmacological interventions: analysis of consecutive sample of randomised trials. BMJ. 2013; 347:f3755.
  • [16]Steinmo S, Fuller C, Stone SP, Michie S. Characterising an implementation intervention in terms of behaviour change techniques and theory: the “Sepsis Six” clinical care bundle. Implement Sci. 2015; 10:1. BioMed Central Full Text
  • [17]Berwick DM. Developing and testing changes in delivery of care. Ann Intern Med. 1998; 128(8):651-6.
  • [18]Deming WE. The new economics for industry, government, education. 2nd ed. MIT Press, Boston, MA; 1994.
  • [19]Shojania KG, Grimshaw JM. Evidence-based quality improvement: the state of the science. Health Aff. 2005; 24(1):138-50.
  • [20]Taylor MJ, McNicholas C, Nicolay C, Darzi A, Bell D, Reed JE. Systematic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Qual Saf. 2014; 23:290-8.
  • [21]Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012; 7:37. BioMed Central Full Text
  • [22]Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W et al.. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013; 46(1):81-95.
  • [23]Michie S, Atkins L, West R. The behaviour change wheel: a guide to designing interventions. Silverback, London; 2014.
  • [24]French SD, Green SE, O’Connor DA, McKenzie JE, Francis JJ, Michie S et al.. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implement Sci. 2012; 7:38. BioMed Central Full Text
  • [25]Bussieres AE, Patey AM, Francis JJ, Sales AE, Jeremy GM. Identifying factors likely to influence compliance with diagnostic imaging guideline recommendations for spine disorders among chiropractors in North America: a focus group study using the Theoretical Domains Framework. Implement Sci. 2012; 7:82. BioMed Central Full Text
  • [26]Curran JA, Brehaut J, Patey A, Osmond M, Stiell I, Grimshaw J et al.. Understanding the Canadian adult CT head rule trial: use of the theoretical domains framework for process evaluation. Implement Sci. 2013; 8(1):25. BioMed Central Full Text
  • [27]Patey AM, Islam R, Francis JJ, Bryson GL, Grimshaw JM, Canada PPT. Anesthesiologists’ and surgeons’ perceptions about routine pre-operative testing in low-risk patients: application of the Theoretical Domains Framework (TDF) to identify factors that influence physicians’ decisions to order pre-operative tests. Implement Sci. 2012; 7:52. BioMed Central Full Text
  • [28]Francis J, Stockton C, Eccles M, Johnston M, Cuthbertson B, Grimshaw J et al.. Evidence-based selection of theories for designing behaviour change interventions: using methods based on theoretical construct domains to understand clinicians’ blood transfusion behaviour. Br J Health Psychol. 2009; 14(4):625-46.
  • [29]Fuller C, Besser S, Savage J, McAteer J, Stone S, Michie S. Application of a theoretical framework for behavior change to hospital workers’ real-time explanations for noncompliance with hand hygiene guidelines. Am J Infect Control. 2014; 42(2):106-10.
  • [30]Fleming A, Bradley C, Cullinan S, Byrne S. Antibiotic prescribing in long-term care facilities: a qualitative, multidisciplinary investigation. BMJ Open. 2014; 4:11.
  • [31]Squires JE, Grimshaw JM, Taljaard M, Linklater S, Chasse M, Shemie SD et al.. Design, implementation, and evaluation of a knowledge translation intervention to increase organ donation after cardiocirculatory death in Canada: a study protocol. Implement Sci. 2014; 9:80. BioMed Central Full Text
  • [32]Reeves S, Kuper A, Hodges BD. Qualitative research methodologies: ethnography. BMJ. 2008;337.
  • [33]Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics. 1977; 33:159.
  • [34]Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57(4):660–80.
  • [35]Cane J, Richardson M, Johnston M, Lahda R, Michie S. From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs. Br J Health Psychol. 2014.
  • [36]Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D et al.. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014; 348:g1687.
  • [37]Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD et al.. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012; 6:Cd000259.
  • [38]Dalton M, Ludden F, Johnson M. 1391: improving patient outcomes in cardiothoracic nursing: a service collaboration between the hospital at night and ITU outreach services. Euro J Cardio Nurs. 2007; 6(1 suppl):S50.
  • [39]Bosch-Capblanch X, Abba K, Prictor M, Garner P. Contracts between patients and healthcare practitioners for improving patients’ adherence to treatment, prevention and health promotion activities. Cochrane Database Syst Rev. 2007; 2: Article ID CD004808
  • [40]Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P. CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008; 148(4):295-309.
  • [41]Walshe K. Understanding what works—and why—in quality improvement: the need for theory-driven evaluation. Int J Qual Health Care. 2007; 19(2):57-9.
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