Applying the behavior change wheel to design de-implementation strategies to reduce low-value statin prescription in primary prevention of cardiovascular disease in primary care

Alvaro Sanchez, Usue Elizondo-Alzola, Jose I Pijoan, Marta M Mediavilla, Susana Pablo, Rita Sainz de Rozas, Itxasne Lekue, Susana Gonzalez-Larragan, Marta Llarena, Olatz Larrañaga, Christian D Helfrich, Gonzalo Grandes, Alvaro Sanchez, Usue Elizondo-Alzola, Jose I Pijoan, Marta M Mediavilla, Susana Pablo, Rita Sainz de Rozas, Itxasne Lekue, Susana Gonzalez-Larragan, Marta Llarena, Olatz Larrañaga, Christian D Helfrich, Gonzalo Grandes

Abstract

Introduction: A substantial proportion of individuals with low cardiovascular risk receive inappropriate statin prescription for primary prevention of cardiovascular disease (CVD) instead of the evidence-based recommendations to promote healthy lifestyle behaviors. This study reports on the structured process performed to design targeted de-implementation strategies to reduce inappropriate prescription of statins and to increase healthy lifestyle promotion in low cardiovascular risk patients in Primary Care (PC).

Methods: A formative study was conducted based on the Theoretical Domains Framework and the Behavior Change Wheel (BCW). It comprised semi-structured interviews with PC professionals to define the problem in behavioral terms; focus groups with Family Physicians and patients to identify the determinants (barriers and facilitators) of inappropriate statin prescription and of healthy lifestyle promotion practice; mapping of behavioral change interventions operationalized as de-implementation strategies for addressing identified determinants; and consensus techniques for prioritization of strategies based on perceived effectiveness, feasibility and acceptability.

Results: Identified key determinants of statin prescription and healthy lifestyle promotion were: the lack of time and clinical inertia, external resources, patients' preferences and characteristics, limitation of available clinical tools and guidelines, social pressures, fears about negative consequences of not treating, and lack of skills and training of professionals. Fourteen potential de-implementation strategies were mapped to the identified determinants and the following were prioritized: 1) non-reflective decision assistance strategies based on reminders and decision support tools for helping clinical decision-making; 2) decision information strategies based on the principles of knowledge dissemination (e.g., corporative diffusion of evidence-based Clinical Practice Guidelines and Pathways for CVD primary prevention); 3) reflective decision-making restructuring strategies (i.e., audit and feedback provided along with intention formation interventions).

Conclusions: This study supports the usefulness of the BCW to guide the design and development of de-implementation strategies targeting the determinants of clinicians' decision-making processes to favor the abandonment of low-value practices and the uptake of those recommended for CVD primary prevention in low-risk patients. Further research to evaluate the feasibility and effectiveness of selected strategies is warranted.

Clinical trial registration: Sanchez A. De-implementation of Low-value Pharmacological Prescriptions (De-imFAR). ClinicalTrials.gov, Identifier: NCT04022850. Registered July 17, 2019. In: ClinicalTrials.gov. Bethesda (MD): U.S. National Library of Medicine (NLM). Available from: https://www.clinicaltrials.gov/ct2/show/NCT04022850.

Keywords: cardiovascular disease; de-implementation; inappropriate prescribing; primary care; primary prevention; statin.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 Sanchez, Elizondo-Alzola, Pijoan, Mediavilla, Pablo, Sainz de Rozas, Lekue, Gonzalez-Larragan, Llarena, Larrañaga, Helfrich and Grandes.

References

    1. Brownlee S, Chalkidou K, Doust J, Elshaug AG, Glasziou P, Heath I, et al. . Evidence for overuse of medical services around the world. Lancet. (2017) 390:156–68. 10.1016/S0140-6736(16)32585-5
    1. Norton WE, Chambers DA. Unpacking the complexities of de-implementing inappropriate health interventions. Implement Sci. (2020) 15:2. 10.1186/s13012-019-0960-9
    1. Colla CH, Mainor AJ, Hargreaves C, et al. . Interventions aimed at reducing use of low-value health services: a systematic review. Med Care Res Rev. (2017) 74:507–50. 10.1177/1077558716656970
    1. Grimshaw JM, Patey AM, Kirkham KR, Hall A, Dowling SK, Rodondi N, et al. . De-implementing wisely: developing the evidence base to reduce low-value care. BMJ Quality & Safety. (2020) 29:409–17. 10.1136/bmjqs-2019-010060
    1. Parchman ML, Henrikson NB, Blasi PR, Buist DS, Penfold R, Austin B, et al. . Taking action on overuse: creating the culture for change. Healthc (Amst). (2017) 5:199–203. 10.1016/j.hjdsi.2016.10.005
    1. Willis CD, Saul J, Bevan H, Scheirer MA, Best A, Greenhalgh T, et al. . Sustaining organizational culture change in health systems. J Health Organ Manag. (2016) 30:2–30. 10.1108/JHOM-07-2014-0117
    1. 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) 14:26–33. 10.1136/qshc.2004.011155
    1. Eccles M, Grimshaw J, Walker A, Johnston M, Pitts N. Changing the behavior of healthcare professionals: the use of theory in promoting the uptake of research findings. J Clin Epidemiol. (2005) 58:107–12. 10.1016/j.jclinepi.2004.09.002
    1. Atkins L, Francis J, Islam R, O'Connor D, Patey A, Ivers N, et al. . A guide to using the theoretical domains framework of behaviour change to investigate implementation problems. Implement Sci. (2017) 12:77. 10.1186/s13012-017-0605-9
    1. 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) 46:81 −95. 10.1007/s12160-013-9486-6
    1. Glanz K, Rimer B. Theory at a Glance: A Guide for Health Promotion Practice. 2nd ed. Bethesda: National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; (2005).
    1. Fernandez ME, Ten Hoor GA, van Lieshout S, Rodriguez SA, Beidas RS, Parcel G, et al. . Implementation mapping: using intervention mapping to develop implementation strategies. Front Public Health. (2019) 7:158. 10.3389/fpubh.2019.00158
    1. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. (2011) 6:42. 10.1186/1748-5908-6-42
    1. Skolarus TA, Hawley ST, Wittmann DA, Forman J, Metreger T, Sparks JB, et al. . De-implementation of low value castration for men with prostate cancer: protocol for a theory-based, mixed methods approach to minimizing low value androgen deprivation therapy (DeADT). Implement Sci. (2018) 13:144. 10.1186/s13012-018-0833-7
    1. Thompson LM, Diaz-Artiga A, Weinstein JR, Handley MA. Designing a behavioral intervention using the COM-B model and the theoretical domains framework to promote gas stove use in rural Guatemala: a formative research study. BMC Public Health. (2018) 18:253. 10.1186/s12889-018-5138-x
    1. Voorn VM, Marang-van de Mheen PJ, So-Osman C, Vlieland TP, Koopman-van Gemert AW, Nelissen RG, et al. . Designing a strategy to implement cost-effective blood transfusion management in elective hip and knee arthroplasties: a study protocol. Implement Sci. (2012) 7:58. 10.1186/1748-5908-7-58
    1. Sanchez A, Pijoan JI, Pablo S, Mediavilla M, de Rozas RS, Lekue I, et al. . Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study. Implement Sci. (2020) 15:8. 10.1186/s13012-020-0966-3
    1. Byrne P, Cullinan J, Smith A, Smith SM. Statins for the primary prevention of cardiovascular disease: an overview of systematic reviews. BMJ Open. (2019) 9:e023085. 10.1136/bmjopen-2018-023085
    1. San Vicente Blanco R., Pérez Irazusta I., Ibarra Amarica J., Berraondo Zabalegui I., Uribe Oyarbide .F., Urraca Garcia de Madinabeitia J., et al. . Guía de Práctica Clínica sobre el manejo de los lípidos como factor de riesgo cardiovascular. Osakidetza. Vitoria-Gasteiz. Available online at: .
    1. National Institute for Health and Care Excellence . Cardiovascular Disease: Risk Assessment and Reduction, Including Lipid Modification [Internet]. London: NICE (Clinical guideline [CG181]) (2014). Available online at:
    1. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, et al. . 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. (2019) 139:e1082–e1143. 10.1161/CIR.0000000000000624
    1. Elizondo-Alzola U, Sánchez A, Pijoan JI, Mediavilla MM, Sainz De Rozas R, Lekue I, et al. . Statins in primary prevention of cardiovascular disease: incidence of potentially inappropriate prescriptions in very low risk primary care patients and associated factors. J Gen Prac. (2022) 10:456. 10.37421/2329-9126.22.10.461
    1. 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. 10.1186/1748-5908-7-38
    1. 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. 10.1186/1748-5908-7-37
    1. Michie S, Atkins L, West R. The Behaviour Change Wheel: A Guide to Designing Interventions. London: Silverback Publishing; (2014).
    1. Strauss A, Corbin J. Grounded theory methodology: an overview. In:Denzin N, Lincoln Y, editors. 1st ed. Handbook of Qualitative Research. Thousand Oaks, CA: SAGE; (1994). p. 273.
    1. Ingvarsson S, Augustsson H, Hasson H, Nilsen P, von Thiele Schwarz U, von Knorring M. Why do they do it? A grounded theory study of the use of low-value care among primary health care physicians. Implement Sci. (2020) 15:93. 10.1186/s13012-020-01052-5
    1. Anderson K, Stowasser D, Freeman C, Scott I. Prescriber barriers and enablers to minimizing potentially inappropriate medications in adults: a systematic review and thematic synthesis. BMJ Open. (2014) 4:e006544. 10.1136/bmjopen-2014-006544
    1. Bonner C, Jansen J, McKinn S, Irwig L, Doust J, Glasziou P, et al. . How do general practitioners and patients make decisions about cardiovascular disease risk? Health Psychol. (2015) 34:253–61. 10.1037/hea0000122
    1. Rashidian A, Russell I. Intentions and statins prescribing: can the theory of planned behaviour explain physician behaviour in following guideline recommendations? J Eval Clin Pract. (2011) 17:749–57. 10.1111/j.1365-2753.2011.01690.x
    1. Clough JD, Martin SS, Navar AM, Lin L, Hardy NC, Rogers U, et al. . Association of primary care providers' beliefs of statins for primary prevention and statin prescription. J Am Heart Assoc. (2019) 8:e010241. 10.1161/JAHA.118.010241
    1. Davidson KW, Ye S, Mensah GA. Commentary: de-implementation science: a virtuous cycle of ceasing and desisting low-value care before implementing new high value care. Ethn Dis. (2017) 27:463–8. 10.18865/ed.27.4.463
    1. Etxeberria A, Alcorta I, Pérez I, Emparanza JI, Ruiz de Velasco E, Iglesias MT, et al. . Results from the CLUES study: a cluster randomized trial for the evaluation of cardiovascular guideline implementation in primary care in Spain. BMC Health Serv Res. (2018) 18:93. 10.1186/s12913-018-2863-x
    1. Keller H, Hirsch O, Kaufmann-Kolle P, Krones T, Becker A, Sönnichsen AC, et al. . Evaluating an implementation strategy in cardiovascular prevention to improve prescribing of statins in Germany: an intention to treat analysis. BMC Public Health. (2013) 13:623. 10.1186/1471-2458-13-623
    1. Keller H, Krones T, Becker A, Hirsch O, Sönnichsen AC, Popert U, et al. . Arriba: effects of an educational intervention on prescribing behaviour in prevention of CVD in general practice. Eur J Prev Cardiol. (2012) 19:322–9. 10.1177/1741826711404502
    1. Comin E, Catalán-Ramos A, M Verdu J, Iglesias-Rodal M, del Val García JL, Grau M, et al. . Impact of the implementation of electronic guidelines for cardiovascular prevention in primary care: study protocol. Inform Prim Care. (2012) 20:129–39. 10.14236/jhi.v20i2.33
    1. Comin E, Catalan-Ramos A, Iglesias-Rodal M, Grau M, Del Val JL, Consola A, et al. . Impact of implementing electronic clinical practice guidelines for the diagnosis, control and treatment of cardiovascular risk factors: a pre-post controlled study. Aten Primaria. (2017) 49:389–98. 10.1016/j.aprim.2016.11.007
    1. Dormuth CR, Carney G, Taylor S, Bassett K, Maclure M. A randomized trial assessing the impact of a personal printed feedback portrait on statin prescribing in primary care. J Contin Educ Health Prof. (2012) 32:153–62. 10.1002/chp.21140
    1. Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Patel B, et al. . The Treatment of cardiovascular Risk in Primary care using Electronic Decision supOrt (TORPEDO) study-intervention development and protocol for a cluster randomised, controlled trial of an electronic decision support and quality improvement intervention in Australian primary healthcare. BMJ Open. (2012) 2:e002177. 10.1136/bmjopen-2012-002177
    1. Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Redfern J, et al. . Effect of a computer-guided, quality improvement program for cardiovascular disease risk management in primary health care: the treatment of cardiovascular risk using electronic decision support cluster-randomized trial. Circ Cardiovasc Qual Outcomes. (2015) 8:87–95. 10.1161/CIRCOUTCOMES.114.001235
    1. Patel B, Peiris D, Usherwood T, Li Q, Harris M, Panaretto K, et al. . Impact of sustained use of a multifaceted computerized quality improvement intervention for cardiovascular disease management in australian primary health care. J Am Heart Assoc. (2017) 6:e007093. 10.1161/JAHA.117.007093
    1. Münscher R, Vetter M, Scheuerle T. A review and taxonomy of choice architecture techniques. J Behav Decis Mak. (2016) 29:511–24. 10.1002/bdm.1897

Source: PubMed

3
Tilaa