Skip to main content
Top
Published in: Trials 1/2020

Open Access 01-12-2020 | Atrial Fibrillation | Research

Normalization of a conversation tool to promote shared decision making about anticoagulation in patients with atrial fibrillation within a practical randomized trial of its effectiveness: a cross-sectional study

Authors: Gabriela Spencer-Bonilla, Anjali Thota, Paige Organick, Oscar J. Ponce, Marleen Kunneman, Rachel Giblon, Megan E. Branda, Angela L. Sivly, Emma Behnken, Carl R. May, Victor M. Montori, Shared Decision Making for Atrial Fibrillation (SDM4AFib) Trial Investigators

Published in: Trials | Issue 1/2020

Login to get access

Abstract

Background

Shared decision making (SDM) implementation remains challenging. The factors that promote or hinder implementation of SDM tools for use during the consultation, including contextual factors such as clinician burnout and organizational support, remain unclear. We explored these factors in the context of a practical multicenter randomized trial evaluating the effectiveness of an SDM conversation tool for patients with atrial fibrillation considering anticoagulation therapy.

Methods

In this cross-sectional study, we recruited clinicians who were regularly involved in conversations with patients regarding anticoagulation for atrial fibrillation. Clinicians reported their characteristics and burnout symptoms using the two-item Maslach Burnout Inventory. Clinicians were trained in using the SDM tool, and they recorded their perceptions of the tool’s normalization potential using the Normalization MeAsure Development (NoMAD) survey instrument and verbally reflected on their answers to these survey questions. When possible, the training sessions and clinicians’ verbal responses to the conversation tool were recorded.

Results

Our study comprised 183 clinicians recruited into the trial (168 with survey responses and 112 with recordings). Overall, clinicians gave high scores to the normalization potential of the intervention; they endorsed all domains of normalization to the same extent, regardless of site, clinician characteristics, or burnout ratings. In interviews, clinicians paid significant attention to making sense of the tool. Tool buy-in seemed to depend heavily on their ability to see the tool as accurate and “evidence-based” and their perceptions of having time in the consultation to use it.

Conclusions

While time in the consultation remains a barrier, we did not find a significant association between burnout symptoms and normalization of an SDM conversation tool. Possible areas for improving the normalization of SDM conversation tools in clinical practice include enabling collaboration among clinicians to implement the tool and reporting how clinicians elsewhere use the tool. Direct measures of normalization (i.e., observing how often clinicians access the tool in practice outside of the clinical trial) may further elucidate the role that contextual factors, such as clinician burnout, play in the implementation of SDM.

Trial registration

ClinicalTrials.gov, NCT02905032. Registered on 9 September 2016.
Appendix
Available only for authorised users
Literature
1.
go back to reference Lin GA, Halley M, Rendle KA, et al. An effort to spread decision aids in five California primary care practices yielded low distribution, highlighting hurdles. Health Aff (Millwood). 2013;32:311–20.CrossRef Lin GA, Halley M, Rendle KA, et al. An effort to spread decision aids in five California primary care practices yielded low distribution, highlighting hurdles. Health Aff (Millwood). 2013;32:311–20.CrossRef
2.
go back to reference Oakley A, Strange V, Bonell C, Allen E, Stephenson J, Team RS. Process evaluation in randomised controlled trials of complex interventions. BMJ. 2006;332:413–6.CrossRef Oakley A, Strange V, Bonell C, Allen E, Stephenson J, Team RS. Process evaluation in randomised controlled trials of complex interventions. BMJ. 2006;332:413–6.CrossRef
3.
go back to reference May CR, Mair F, Finch T, et al. Development of a theory of implementation and integration: Normalization Process Theory. Implement Sci. 2009;4:29.CrossRef May CR, Mair F, Finch T, et al. Development of a theory of implementation and integration: Normalization Process Theory. Implement Sci. 2009;4:29.CrossRef
4.
go back to reference May CR, Mair FS, Dowrick CF, Finch TL. Process evaluation for complex interventions in primary care: understanding trials using the normalization process model. BMC Fam Pract. 2007;8:42.CrossRef May CR, Mair FS, Dowrick CF, Finch TL. Process evaluation for complex interventions in primary care: understanding trials using the normalization process model. BMC Fam Pract. 2007;8:42.CrossRef
5.
go back to reference Legare F, Witteman HO. Shared decision making: examining key elements and barriers to adoption into routine clinical practice. Health Aff (Millwood). 2013;32:276–84.CrossRef Legare F, Witteman HO. Shared decision making: examining key elements and barriers to adoption into routine clinical practice. Health Aff (Millwood). 2013;32:276–84.CrossRef
6.
go back to reference Zeballos-Palacios CL, Hargraves IG, Noseworthy PA, et al. Developing a conversation aid to support shared decision making: reflections on designing Anticoagulation Choice. Mayo Clin Proc. 2019;94:686–96.CrossRef Zeballos-Palacios CL, Hargraves IG, Noseworthy PA, et al. Developing a conversation aid to support shared decision making: reflections on designing Anticoagulation Choice. Mayo Clin Proc. 2019;94:686–96.CrossRef
7.
go back to reference Kunneman M, Branda ME, Noseworthy PA, et al. Shared decision making for stroke prevention in atrial fibrillation: study protocol for a randomized controlled trial. Trials. 2017;18:443.CrossRef Kunneman M, Branda ME, Noseworthy PA, et al. Shared decision making for stroke prevention in atrial fibrillation: study protocol for a randomized controlled trial. Trials. 2017;18:443.CrossRef
8.
go back to reference West CP, Dyrbye LN, Satele DV, Sloan JA, Shanafelt TD. Concurrent validity of single-item measures of emotional exhaustion and depersonalization in burnout assessment. J Gen Intern Med. 2012;27:1445–52.CrossRef West CP, Dyrbye LN, Satele DV, Sloan JA, Shanafelt TD. Concurrent validity of single-item measures of emotional exhaustion and depersonalization in burnout assessment. J Gen Intern Med. 2012;27:1445–52.CrossRef
9.
go back to reference Rafferty JP, Lemkau JP, Purdy RR, Rudisill JR. Validity of the Maslach Burnout Inventory for family practice physicians. J Clin Psychol. 1986;42:488–92.CrossRef Rafferty JP, Lemkau JP, Purdy RR, Rudisill JR. Validity of the Maslach Burnout Inventory for family practice physicians. J Clin Psychol. 1986;42:488–92.CrossRef
11.
go back to reference Finch TL, Girling M, May CR, et al. Improving the normalization of complex interventions: part 2 - validation of the NoMAD instrument for assessing implementation work based on normalization process theory (NPT). BMC Med Res Methodol. 2018;18:135.CrossRef Finch TL, Girling M, May CR, et al. Improving the normalization of complex interventions: part 2 - validation of the NoMAD instrument for assessing implementation work based on normalization process theory (NPT). BMC Med Res Methodol. 2018;18:135.CrossRef
12.
go back to reference Brannick MT, Erol-Korkmaz HT, Prewett M. A systematic review of the reliability of objective structured clinical examination scores. Med Educ. 2011;45:1181–9.CrossRef Brannick MT, Erol-Korkmaz HT, Prewett M. A systematic review of the reliability of objective structured clinical examination scores. Med Educ. 2011;45:1181–9.CrossRef
13.
go back to reference Finch TL, Rapley T, Girling M, et al. Improving the normalization of complex interventions: measure development based on normalization process theory (NoMAD): study protocol. Implement Sci. 2013;8:43.CrossRef Finch TL, Rapley T, Girling M, et al. Improving the normalization of complex interventions: measure development based on normalization process theory (NoMAD): study protocol. Implement Sci. 2013;8:43.CrossRef
14.
go back to reference Borg Xuereb C, Shaw RL, Lane DA. Patients’ and health professionals’ views and experiences of atrial fibrillation and oral-anticoagulant therapy: a qualitative meta-synthesis. Patient Educ Couns. 2012;88:330–7.CrossRef Borg Xuereb C, Shaw RL, Lane DA. Patients’ and health professionals’ views and experiences of atrial fibrillation and oral-anticoagulant therapy: a qualitative meta-synthesis. Patient Educ Couns. 2012;88:330–7.CrossRef
15.
go back to reference Dobler CC, Sanchez M, Gionfriddo MR, et al. Impact of decision aids used during clinical encounters on clinician outcomes and consultation length: a systematic review. BMJ Qual Saf. 2019;28:499–510.CrossRef Dobler CC, Sanchez M, Gionfriddo MR, et al. Impact of decision aids used during clinical encounters on clinician outcomes and consultation length: a systematic review. BMJ Qual Saf. 2019;28:499–510.CrossRef
16.
go back to reference Huynh C, Bowles D, Yen MS, et al. Change implementation: the association of adaptive reserve and burnout among inpatient medicine physicians and nurses. J Interprof Care. 2018;32:549–55.CrossRef Huynh C, Bowles D, Yen MS, et al. Change implementation: the association of adaptive reserve and burnout among inpatient medicine physicians and nurses. J Interprof Care. 2018;32:549–55.CrossRef
17.
go back to reference Miller WL, Crabtree BF, Nutting PA, Stange KC, Jaen CR. Primary care practice development: a relationship-centered approach. Ann Fam Med. 2010;8 Suppl 1:S68–79 S92.CrossRef Miller WL, Crabtree BF, Nutting PA, Stange KC, Jaen CR. Primary care practice development: a relationship-centered approach. Ann Fam Med. 2010;8 Suppl 1:S68–79 S92.CrossRef
18.
go back to reference Lamothe M, Boujut E, Zenasni F, Sultan S. To be or not to be empathic: the combined role of empathic concern and perspective taking in understanding burnout in general practice. BMC Fam Pract. 2014;15:15.CrossRef Lamothe M, Boujut E, Zenasni F, Sultan S. To be or not to be empathic: the combined role of empathic concern and perspective taking in understanding burnout in general practice. BMC Fam Pract. 2014;15:15.CrossRef
19.
go back to reference Dobler CC, West CP, Montori VM. Can shared decision making improve physician well-being and reduce burnout? Cureus. 2017;9:e1615.PubMedPubMedCentral Dobler CC, West CP, Montori VM. Can shared decision making improve physician well-being and reduce burnout? Cureus. 2017;9:e1615.PubMedPubMedCentral
20.
go back to reference Boissy A, Windover AK, Bokar D, et al. Communication skills training for physicians improves patient satisfaction. J Gen Intern Med. 2016;31:755–61.CrossRef Boissy A, Windover AK, Bokar D, et al. Communication skills training for physicians improves patient satisfaction. J Gen Intern Med. 2016;31:755–61.CrossRef
21.
go back to reference Stacey D, Legare F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431.PubMed Stacey D, Legare F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4:CD001431.PubMed
22.
go back to reference Lloyd A, Joseph-Williams N, Edwards A, Rix A, Elwyn G. Patchy ‘coherence’: using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC). Implement Sci. 2013;8:102.CrossRef Lloyd A, Joseph-Williams N, Edwards A, Rix A, Elwyn G. Patchy ‘coherence’: using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC). Implement Sci. 2013;8:102.CrossRef
23.
go back to reference Elwyn G, Legare F, van der Weijden T, Edwards A, May C. Arduous implementation: does the Normalisation Process Model explain why it’s so difficult to embed decision support technologies for patients in routine clinical practice. Implement Sci. 2008;3:57.CrossRef Elwyn G, Legare F, van der Weijden T, Edwards A, May C. Arduous implementation: does the Normalisation Process Model explain why it’s so difficult to embed decision support technologies for patients in routine clinical practice. Implement Sci. 2008;3:57.CrossRef
Metadata
Title
Normalization of a conversation tool to promote shared decision making about anticoagulation in patients with atrial fibrillation within a practical randomized trial of its effectiveness: a cross-sectional study
Authors
Gabriela Spencer-Bonilla
Anjali Thota
Paige Organick
Oscar J. Ponce
Marleen Kunneman
Rachel Giblon
Megan E. Branda
Angela L. Sivly
Emma Behnken
Carl R. May
Victor M. Montori
Shared Decision Making for Atrial Fibrillation (SDM4AFib) Trial Investigators
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Trials / Issue 1/2020
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-020-04305-2

Other articles of this Issue 1/2020

Trials 1/2020 Go to the issue