- Study protocol
- Open Access
Barriers and facilitators to implementing Decision Boxes in primary healthcare teams to facilitate shared decisionmaking: a study protocol
© Giguere et al.; licensee BioMed Central Ltd. 2012
- Received: 22 July 2012
- Accepted: 23 July 2012
- Published: 6 August 2012
Decision Boxes are summaries of the most important benefits and harms of health interventions provided to clinicians before they meet the patient, to prepare them to help patients make informed and value-based decisions. Our objective is to explore the barriers and facilitators to using Decision Boxes in clinical practice, more precisely factors stemming from (1) the Decision Boxes themselves, (2) the primary healthcare team (PHT), and (3) the primary care practice environment.
A two-phase mixed methods study will be conducted. Eight Decision Boxes relevant to primary care, and written in both English and in French, will be hosted on a website together with a tutorial to introduce the Decision Box. The Decision Boxes will be delivered as weekly emails over a span of eight weeks to clinicians of PHTs (family physicians, residents and nurses) in five primary care clinics located across two Canadian provinces. Using a web-questionnaire, clinicians will rate each Decision Box with the Information Assessment Method (cognitive impacts, relevance, usefulness, expected benefits) and with a questionnaire based on the Theory of Planned Behavior to study the determinants of clinicians’ intention to use what they learned from that Decision Box in their patient encounter (attitude, social norm, perceived behavioral control). Web-log data will be used to monitor clinicians’ access to the website. Following the 8-week intervention, we will conduct semi-structured group interviews with clinicians and individual interviews with clinic administrators to explore contextual factors influencing the use of the Decision Boxes. Data collected from questionnaires, focus groups and individual interviews will be combined to identify factors potentially influencing implementation of Decision Boxes in clinical practice by clinicians of PHTs.
This project will allow tailoring of Decision Boxes and their delivery to overcome the specific barriers identified by clinicians of PHTs to improve the implementation of shared decision making in this setting.
- Evidence-based practice
- Continuing professional education
- Risk communication
- Patient-centered care
- Clinical topic summary
- Decision support
- Knowledge translation
- Implementation science
Shared decision making (SDM) is an approach where healthcare professionals and patients make joint decisions based on the best evidence of the benefits and harms of all available options, and patients’ values and preferences in regard to those options. Patient Decision Aids are the tools most often used to facilitate SDM. They provide patients with information on the options and research-based outcomes relevant to health status, and help to clarify values regarding the benefits and harms of each option. They have been associated with favorable outcomes such as greater knowledge, lower decisional conflict, and lower proportion of people passive in decision making or undecided. Despite that Patient Decision Aids help them make informed decisions, many patients are still turning to their healthcare professional for recommendations. Clinician knowledge and recommendations are recognized as essential elements of SDM, but clinicians often lack the tools to translate their knowledge to their patient and facilitate patients’ involvement in decision making.
To prepare healthcare professionals for SDM, we have involved both professionals and patients in the development of short clinical summaries, named ‘Decision Boxes’, that integrate the best available evidence from studies and knowledge syntheses to provide quantitative information on management options for medical questions that have no single best answer[4, 5]. The Decision Box is intended to help the clinician recognize that a decision needs to be shared with the patient, to prepare the clinician to communicate evidence-based information to the patient, and to assist the clinician in seeking patient’s values and preferences regarding the decision to be made.
Despite broad recognition of the merits of SDM, there is scarce evidence that health professionals put SDM approach into practice[6–8]. The barriers to the implementation of SDM in clinical practice most often reported by health professionals are time pressure and the perception that SDM cannot be applied because of the patient’s characteristics or clinical situation. We developed Decision Boxes to try to address these barriers, for example by using a brief 2-page format, by offering prompts to initiate a discussion with the patient, and by providing first-hand evidence on decisions commonly encountered in primary care. However, we lack evidence on clinicians’ perceptions of the Decision Box, and on the best way to implement Decision Boxes within primary healthcare teams (PHTs).
Our objective is to study the barriers and facilitators influencing Primary Healthcare Teams’ uses of Decision Boxes in clinical practice. Our specific questions are: (1) What are clinicians' perceptions of the usefulness of the Decision Box? (2) Do clinicians intend to use information from Decisions Boxes in clinical practice? (3) What aspects of the primary care practice environment affect the use in practice of what clinicians learned from Decisions Boxes?
Interventions covered by Decision Boxes
Box 1: 4. The serum integrated test to screen women for fetal trisomy 21
Box 2: The BRCA1/2 gene mutation test to evaluate the risks of breast and ovarian cancer
Box 3: The fecal occult blood test (FOBT) to screen for colorectal cancer
Box 4: The prostate-specific antigen (PSA) test to screen men for prostate cancer
Box 5: Acetylsalicylic acid (ASA) for primary prevention of cardiovascular disease
Box 6: Bisphosphonates to prevent osteoporotic fractures in postmenopausal women
Box 7: Statins for primary prevention of cardiovascular disease
Box 8: Cholinesterase inhibitors to reduce the symptoms of Alzheimer’s disease
Participants and recruitment strategies
Five primary care clinics (such as FMU – Family Medicine Units - in Quebec and FHT- Family Health Team- in Ontario) will be recruited through professional networks of the members of the research team. They will include two French-speaking clinics and three English-speaking clinics. We will then invite all family physicians, nurses and residents working at those clinics to participate in the first phase of the study.
For phase two, a purposeful sample of eight clinicians per site, comprising 5 physicians, two nurses and one resident, will be randomly selected among extreme cases on the web-based questionnaires, i.e. clinicians who gave higher or lower scores to the Decision Boxes rated with the web-questionnaire. Thus, only the participants who completed at least one of the eight study questionnaires during phase one will be eligible to participate to phase 2. At each study site, we will also recruit a clinician with administrative responsibilities, such as the clinic Medical Director.
We will offer monetary compensation to the clinicians (CAN$100) who participated to the study interviews.
Data collection and procedures
Phase one: quantitative study
At study entry, all participating clinicians will sign an informed consent form and complete a questionnaire assessing their demographic and professional characteristics (age, gender, number of years of clinical practice). They will also rate their interest for each of the eight Decision Box topics using a visual analogue scale ranging from "no interest" to "great interest". Then, clinicians will receive the eight Decision Boxes by email, at a rate of one per week for eight weeks. For each Decision Box received, they will be prompted to complete a web-based questionnaire (Additional file1). The first part of this questionnaire consists of a 5-point smiley-faces rating scale to assess global satisfaction with that Decision Box. The second part consists of questions based on the Theory of Planned Behavior (TPB) to study the characteristics of the clinicians that influence their intention to perform a given behavior. In this case, the behavior under study was ‘to use what I learned from the Decision Box to precisely explain the advantages and disadvantages of the options to my next patient to whom this intervention might apply’. Based on the TPB, the three determinants of a clinician’s intention to perform a behavior are: his/her attitude toward performing this behavior (perceived advantages and disadvantages of performing a behavior), his/her subjective norm (normative beliefs about the social pressure to engage or not to engage in this behavior), and his/her perceived behavioral control (beliefs, based on experience, about one’s ability to adopt this behavior). The third part of the questionnaire comprises the Information Assessment Method (IAM) that serves to evaluate cognitive impacts of the information, its relevance, usefulness and expected benefits.
Phase 2: qualitative study
At each site, we will conduct a 90-minute semi-structured interview with a mixed group comprising five family physicians, two nurses and one resident, and a 30-minute individual interview with a clinician with administrative responsibilities, such as the Medical Director of the clinic. These interviews will assess in-depth understanding of the implementation process and explore the influence of the practice environment on the clinical application of the knowledge which clinicians acquired from the Decision Boxes. Both the interview guides for individual and group interviews will be based on the conceptual model for IP-SDM, and cover all key topics for all focus groups, although not necessarily in the same order (interviews will follow the natural progression of the conversation). This interview format will give participants the flexibility to explore emerging issues. All interviews will be moderated by the same interviewer (AG). One observer will take notes on the process and content of the discussions. Each discussion will be audiotaped and professionally transcribed.
Phase one: quantitative study
We will first perform descriptive statistical analyses of the answers to the web-questionnaires. We will then use a mixed model to describe clinicians’ perceptions of the attributes of the decision boxes (5-point smiley-faces rating scale, IAM), taking into account the clinical topic of the Decision Box, the study site, clinician’s status (nurse, resident, physician) and socio demographic characteristics of the participants. We will also perform multiple regression analyses to test relationships between clinicians’ intention to use what they learned from the Decision Boxand the determinants of their intention (attitude, subjective norm, perceived behavioral control), their status (nurse, resident, physician), their sociodemographic characterisitics (age, gender, number of years in practice), the study site, and the clinical topic of the Decision Box.
The regression analysis between clinicians’ intention and its determinants was used to set the needed sample size of clinicians. Earlier studies estimated regression coefficients of 0.78 for physicians, and of 0.63 for nurses between intention and the three determinants of the intention (attitude, behavioral control and subjective norm). To be conservative, we used the lowest regression coefficient obtained for nurses (R2 = 0.63) to calculate the sample size, using two potential confounding variables (clinical topics and clinicians’ status). The ‘clinic’ effect was considered negligible as we have previously measured an Intraclass correlation coefficient of only 0.02 for clinicians nested within clinics in a cluster randomized controlled trial. Using these parameters we evaluated that a sample size of 78 clinicians gave a power of 90%. Based on a study of a continuing medical education program in shared decision-making where 70% of the physicians attended at least two of the three workshops, we expect that about 70% of participating clinicians will complete at least half of the eight online questionnaires (1 questionnaire/Decision Box; 8 Decision Boxes). Consequently, to achieve a sample size of at least 78 clinicians who will complete at least four questionnaires, we need to recruit 111 clinicians (n = 5 clinics; 22 clinicians/clinic).
Phase 2: qualitative study
Two research professionals will independently perform a hybrid deductive/inductive thematic qualitative data analysis for each group and individual interview using specialized software (NVivo 9). Any disagreements will be discussed until consensus is reached. The coding scheme will be developed following the OMRU[10, 11], the Steps of the users' experience of an evidence-based shared decision-making support tool over time, and the IP-SDM model[14–16], by identifying what the PHT and the administrators of the primary care organizations experienced as barriers or facilitators to the application of what clinicians learned from the Decision Boxes. The deductive thematic analysis will apply attributes derived a priori from these theories and an inductive thematic analysis will integrate new themes, suggested by the data, into the scheme. We will compare the phenomena observed to emphasize a common tangent and will work out tree structures and matrices for the analysis. The first author (AG),will corroborate the findings by scrutinizing the analysis and ensuring that new themes, tree structures and matrices are representative of the initial data analysis and codes assigned.
We will combine data from phases one and two to identify the factors potentially influencing the implementation of the Decision Boxes in primary care. We will then tailor the implementation strategy to overcome the identified barriers and take into account the specific situation.
Approval of ethics for this project were given by the research ethics committee of the Centre de Recherche du Centre Hospitalier Universitaire de Quebec (reference number #S11-12-143), by the Research Ethic committee of the Jewish General Hospital in Montreal (reference number #12-014), and by the Research Ethics Board of McMaster University (reference number #11-550).
This project aims to study the factors that influence the use of a novel tool to facilitate SDM by primary healthcare teams. Factors related to the innovation itself, the potential users, and the context of use will be assessed.
Delivery of this tool in naturalistic settings will allow assessment of contextual barriers to uptake, and will help collect realistic perceptions on the value of the tool. Because eight Decision Boxes on various topics will be delivered, this project also represents a unique opportunity to explore the influence of the clinical topic on clinicians’ intention to use what they learned from the Decision Boxto explain the advantages and disadvantages of the options to their patients. The Decision Boxes will be written in both the official languages of Canada, French and English, allowing a wider dissemination in the country. As the study will include professionals from three cities located across two provinces in Canada, results will then also be generalizable to a wider population. However, the clinicians we will recruit may not be representative of all practicing physicians in the targeted settings - only those interested in Evidence-Based Medicine and/or SDM are likely to accept participating.
The Decision Box is a new tool available to clinicians who decide to use SDM to make a decision with their patient. A review of interventions to improve health professionals’ adoption of SDM in clinical practice suggest that, both patient-mediated interventions, such as Patient Decision Aids, and training of health professionals are important to the successful implementation of SDM in clinical practice. As a self-directed learning approach, the Decision Box may complement group learning activities already available to teach shared decision-making.
Additional benefits of this project include the development of a website hosting the Decision Boxes, further facilitating access for clinicians, researchers, and patients.
This project will allow tailoring of Decision Boxes and their delivery to overcome the specific barriers for change identified in primary care clinicsin Canada. By helping implement Decision Boxes in clinical practice, this study may potentially enhance the transfer of scientific data to healthcare professionals, and also improve communication between healthcare professionals and patients, thus allowing a more judicious use of the current best available evidence in clinical decision making.
This project was funded by the KT Canada research network and by the Informed Medical Decision Foundation. AG also received a post-doctoral fellowship from the KT Canada research network. We tank Debi Banerjee for writing assistance.
1Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University, CRL-139, 1280 Main Street West, Hamilton, ON L8S 4 K1, Canada. 2Research Center of the CHUQ, Saint-Francois d'Assise Hospital, 10 rue de l'Espinay, D6-730, Quebec City (QC) G1L 3 L5, Canada.3Department of Family Medicine, McGill University, 515-517 Pine Avenue West, Montreal (QC) H2W 1 S4, Canada. 4Dept. of Family and Emergency Medicine, Laval University Laval, Pavillon Ferdinand-Vandry, 1050 avenue de la Médecine, Local 4617, Québec (QC) G1V 0A6, Canada. 5Department of Family Medicine, McMaster University, 118 Lake Street, Saint-Catharines, ON, Canada. 6Research Center of the CHUQ, Saint-Francois d'Assise Hospital, 10 rue de l'Espinay, D6-730, Quebec City (QC) G1L 3 L5, Canada. 7Department of Family Medicine, McGill University, 515-517 Pine Avenue West, Montreal (QC) H2W 1 S4, Canada. 8Research Center of the CHUQ, Saint-Francois d'Assise Hospital, 10 rue de l'Espinay, D6-730, Quebec City (QC) G1L 3 L5, Canada.9Department of Family Medicine, McMaster University, McMaster Innovation Park, 175 Longwood Road South, Hamilton, ON L8P 0A1, Canada.10Department of Clinical Epidemiology and Biostatistics and Department of Medicine, DeGroote School of Medicine, McMaster University, 1280 Main Street West, CRL-125, Hamilton, ON, Canada.
- Charles C, Gafni A, Whelan T: Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med. 1999, 49: 651-661. 10.1016/S0277-9536(99)00145-8.View ArticlePubMedGoogle Scholar
- Stacey D, Bennett CL, Barry M, Col NF, Eden KB, Holmes-Rovner M, Llewellyn-Thomas H, Lyddiatt A, Légaré F, Thomson R: Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2011, 5 (10): CD001431-Google Scholar
- Makoul G, Clayman ML: An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006, 60: 301-312. 10.1016/j.pec.2005.06.010.View ArticlePubMedGoogle Scholar
- Giguere A, Légaré F, Grad R, Pluye P, Haynes R, Cauchon M, Rousseau F, Argote J, Labrecque M: Decision Boxes for clinicians to support evidence-based practice and shared decision making: the user experience. Implem Sci. 2012, 7: 72-10.1186/1748-5908-7-72.View ArticleGoogle Scholar
- Giguere A, Legare F, Grad R, Pluye P, Rousseau F, Haynes RB, Cauchon M, Labrecque M: Developing and user-testing Decision boxes to facilitate shared decision making in primary care - a study protocol. BMC Med Inform Decis Mak. 2011, 11: 17-10.1186/1472-6947-11-17.View ArticlePubMedPubMed CentralGoogle Scholar
- Edwards A, Elwyn G, Wood F, Atwell C, Prior L, Houston H: Shared decision making and risk communication in practice: a qualitative study of GPs' experiences. Br J Gen Pract. 2005, 55: 6-13.PubMedPubMed CentralGoogle Scholar
- Edwards M, Davies M, Edwards A: What are the external influences on information exchange and shared decision-making in healthcare consultations: A meta-synthesis of the literature. Patient Educ Couns. 2009, 75: 37-52. 10.1016/j.pec.2008.09.025.View ArticlePubMedGoogle Scholar
- Holmes-Rovner M, Valade D, Orlowski C, Draus C, Nabozny-Valerio B, Keiser S: Implementing shared decision-making in routine practice: barriers and opportunities. Health Expect. 2000, 3: 182-191. 10.1046/j.1369-6513.2000.00093.x.View ArticlePubMedGoogle Scholar
- Legare F, Ratte S, Gravel K, Graham ID: Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals' perceptions. Patient Educ Couns. 2008, 73: 526-535. 10.1016/j.pec.2008.07.018.View ArticlePubMedGoogle Scholar
- Graham ID, Logan J: Innovations in knowledge transfer and continuity of care. The Canadian journal of nursing research= Revue canadienne de recherche en sciences infirmières. 2004, 36: 89-PubMedGoogle Scholar
- Graham K, Logan J: Using the Ottawa Model of Research Use to Implement a Skin Care Program. J Nurs Care Qual. 2004, 19: 18-26. 10.1097/00001786-200401000-00006.View ArticlePubMedGoogle Scholar
- Pluye P, Grad RM, Johnson-Lafleur J, Bambrick T, Burnand B, Mercer J, Marlow B, Campbell C: Evaluation of email alerts in practice: Part 2 - validation of the information assessment method. J Eval Clin Pract. 2010, 16: 1236-1243. 10.1111/j.1365-2753.2009.01313.x.View ArticlePubMedGoogle Scholar
- Ajzen I: The theory of planned behavior. Organ Behav Hum. 1991, 50: 179-211. 10.1016/0749-5978(91)90020-T.View ArticleGoogle Scholar
- Legare F, Stacey D, Gagnon S, Dunn S, Pluye P, Frosch D, Kryworuchko J, Elwyn G, Gagnon MP, Graham ID: Validating a conceptual model for an inter-professional approach to shared decision making: a mixed methods study. J Eval Clin Pract. 2011, 17: 554-564. 10.1111/j.1365-2753.2010.01515.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Legare F, Stacey D, Pouliot S, Gauvin FP, Desroches S, Kryworuchko J, Dunn S, Elwyn G, Frosch D, Gagnon MP: Interprofessionalism and shared decision-making in primary care: a stepwise approach towards a new model. J Interprof Care. 2011, 25: 18-25. 10.3109/13561820.2010.490502.View ArticlePubMedGoogle Scholar
- Legare F, Stacey D, Briere N, Desroches S, Dumont S, Fraser K, Murray MA, Sales A, Aube D: A conceptual framework for interprofessional shared decision making in home care: protocol for a feasibility study. BMC Health Serv Res. 2011, 11: 23-10.1186/1472-6963-11-23.View ArticlePubMedPubMed CentralGoogle Scholar
- Creswell JW: Research design: Qualitative, quantitative, and mixed methods approaches. 2009, Sage Publications, IncGoogle Scholar
- Legare F, Graham ID, O'Connor AC, Aubin M, Baillargeon L, Leduc Y, Maziade J: Prediction of health professionals' intention to screen for decisional conflict in clinical practice. Health Expect. 2007, 10: 364-379. 10.1111/j.1369-7625.2007.00465.x.View ArticlePubMedGoogle Scholar
- Jurgens D: PhD thesis. Nurses' intentions to administer morphine for postoperative pain: An application of Ajzen's theory of planned behaviour. 1996, The University of SaskatchewanGoogle Scholar
- Legare F, Labrecque M, LeBlanc A, Njoya M, Laurier C, Cote L, Godin G, Thivierge RL, O'Connor A, St-Jacques S: Training family physicians in shared decision making for the use of antibiotics for acute respiratory infections: a pilot clustered randomized controlled trial. Health Expect. 2011, 1 (14 Suppl): 96-110.View ArticleGoogle Scholar
- Leblanc A, Legare F, Labrecque M, Godin G, Thivierge R, Laurier C, Cote L, O'Connor AM, Rousseau M: Feasibility of a randomised trial of a continuing medical education program in shared decision-making on the use of antibiotics for acute respiratory infections in primary care: the DECISION+ pilot trial. Implement Sci. 2011, 6: 5-10.1186/1748-5908-6-5.View ArticlePubMedPubMed CentralGoogle Scholar
- Legare F, Ratte S, Stacey D, Kryworuchko J, Gravel K, Graham ID, Turcotte S: Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database Syst Rev. 2010, 5: CD006732-PubMedGoogle Scholar
- Légaré F: Inventory of Shared Decision Making Programs for Healthcare Professionals.http://decision.chaire.fmed.ulaval.ca/index.php?id=180&L=2,
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6947/12/85/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.