1
|
Cadet T, Cusimano J, McKearney S, Honaker J, O'Neal C, Taheri R, Uhley V, Zhang Y, Dreker M, Cohn JS. Describing the evidence linking interprofessional education interventions to improving the delivery of safe and effective patient care: a scoping review. J Interprof Care 2024; 38:476-485. [PMID: 38124506 PMCID: PMC11009096 DOI: 10.1080/13561820.2023.2283119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 11/02/2023] [Indexed: 12/23/2023]
Abstract
Empirical evidence indicates that collaborative interprofessional practice leads to positive health outcomes. Further, there is an abundance of evidence examining student and/or faculty perceptions of learning or satisfaction about the interprofessional education (IPE) learning experience. However, there is a dearth of research linking IPE interventions to patient outcomes. The objective of this scoping review was to describe and summarize the evidence linking IPE interventions to the delivery of effective patient care. A three-step search strategy was utilized for this review with articles that met the following criteria: publications dated 2015-2020 using qualitative, quantitative or mixed methods; the inclusion of healthcare professionals, students, or practitioners who had experienced IPE or training that included at least two collaborators within coursework or other professional education; and at least one of ten Centers for Medicare & Medicaid Services quality measures (length of stay, medication errors, medical errors, patient satisfaction scores, medication adherence, patient and caregiver education, hospice usage, mortality, infection rates, and readmission rates). Overall, n=94 articles were identified, providing overwhelming evidence supporting a positive relationship between IPE interventions and several key quality health measures including length of stay, medical errors, patient satisfaction, patient or caregiver education, and mortality. Findings from this scoping review suggest a critical need for the development, implementation, and evaluation of IPE interventions to improve patient outcomes.
Collapse
Affiliation(s)
- Tamara Cadet
- School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph Cusimano
- Bernard J. Dunn School of Pharmacy, Shenandoah University, Winhester, VA, USA
| | - Shelley McKearney
- Interprofessional Education Collaborative, BS Seton Hall University, South Orange, NJ, USA
| | | | - Cynthia O'Neal
- School of Nursing, University of Texas Health Science Center, San Antonio, Texas, USA
| | - Reza Taheri
- Pharmacy Practice Department, Chapman University, Irvine, CA, USA
| | - Virginia Uhley
- Department of Foundational Medical Studies, Department of Family Medicine and Community Health, Oakland University, Rochester, MI, USA
| | - Yingting Zhang
- Department of Medicine, Research Services Librarian Library Faculty, Robert Wood Johnson Library of the Health Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Margaret Dreker
- Hackensack Meridian School of Medicine, Seton Hall University, Nutley, NJ, USA
| | - Judith S Cohn
- Health Sciences Library, Information Services and Department of Health Sciences Libraries Department, George F. Smith Library of the Health Sciences, The State University of New Jersey, Newark, NJ, USA
| |
Collapse
|
2
|
Stacey D, Lewis KB, Smith M, Carley M, Volk R, Douglas EE, Pacheco-Brousseau L, Finderup J, Gunderson J, Barry MJ, Bennett CL, Bravo P, Steffensen K, Gogovor A, Graham ID, Kelly SE, Légaré F, Sondergaard H, Thomson R, Trenaman L, Trevena L. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev 2024; 1:CD001431. [PMID: 38284415 PMCID: PMC10823577 DOI: 10.1002/14651858.cd001431.pub6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
BACKGROUND Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017. OBJECTIVES To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach. SEARCH METHODS We conducted the updated search for the period of 2015 (last search date) to March 2022 in CENTRAL, MEDLINE, Embase, PsycINFO, EBSCO, and grey literature. The cumulative search covers database origins to March 2022. SELECTION CRITERIA We included published randomized controlled trials comparing patient decision aids to usual care. Usual care was defined as general information, risk assessment, clinical practice guideline summaries for health consumers, placebo intervention (e.g. information on another topic), or no intervention. DATA COLLECTION AND ANALYSIS Two authors independently screened citations for inclusion, extracted intervention and outcome data, and assessed risk of bias using the Cochrane risk of bias tool. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made (informed values-based choice congruence) and the decision-making process, such as knowledge, accurate risk perceptions, feeling informed, clear values, participation in decision-making, and adverse events. Secondary outcomes were choice, confidence in decision-making, adherence to the chosen option, preference-linked health outcomes, and impact on the healthcare system (e.g. consultation length). We pooled results using mean differences (MDs) and risk ratios (RRs) with 95% confidence intervals (CIs), applying a random-effects model. We conducted a subgroup analysis of 105 studies that were included in the previous review version compared to those published since that update (n = 104 studies). We used Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the certainty of the evidence. MAIN RESULTS This update added 104 new studies for a total of 209 studies involving 107,698 participants. The patient decision aids focused on 71 different decisions. The most common decisions were about cardiovascular treatments (n = 22 studies), cancer screening (n = 17 studies colorectal, 15 prostate, 12 breast), cancer treatments (e.g. 15 breast, 11 prostate), mental health treatments (n = 10 studies), and joint replacement surgery (n = 9 studies). When assessing risk of bias in the included studies, we rated two items as mostly unclear (selective reporting: 100 studies; blinding of participants/personnel: 161 studies), due to inadequate reporting. Of the 209 included studies, 34 had at least one item rated as high risk of bias. There was moderate-certainty evidence that patient decision aids probably increase the congruence between informed values and care choices compared to usual care (RR 1.75, 95% CI 1.44 to 2.13; 21 studies, 9377 participants). Regarding attributes related to the decision-making process and compared to usual care, there was high-certainty evidence that patient decision aids result in improved participants' knowledge (MD 11.90/100, 95% CI 10.60 to 13.19; 107 studies, 25,492 participants), accuracy of risk perceptions (RR 1.94, 95% CI 1.61 to 2.34; 25 studies, 7796 participants), and decreased decisional conflict related to feeling uninformed (MD -10.02, 95% CI -12.31 to -7.74; 58 studies, 12,104 participants), indecision about personal values (MD -7.86, 95% CI -9.69 to -6.02; 55 studies, 11,880 participants), and proportion of people who were passive in decision-making (clinician-controlled) (RR 0.72, 95% CI 0.59 to 0.88; 21 studies, 4348 participants). For adverse outcomes, there was high-certainty evidence that there was no difference in decision regret between the patient decision aid and usual care groups (MD -1.23, 95% CI -3.05 to 0.59; 22 studies, 3707 participants). Of note, there was no difference in the length of consultation when patient decision aids were used in preparation for the consultation (MD -2.97 minutes, 95% CI -7.84 to 1.90; 5 studies, 420 participants). When patient decision aids were used during the consultation with the clinician, the length of consultation was 1.5 minutes longer (MD 1.50 minutes, 95% CI 0.79 to 2.20; 8 studies, 2702 participants). We found the same direction of effect when we compared results for patient decision aid studies reported in the previous update compared to studies conducted since 2015. AUTHORS' CONCLUSIONS Compared to usual care, across a wide variety of decisions, patient decision aids probably helped more adults reach informed values-congruent choices. They led to large increases in knowledge, accurate risk perceptions, and an active role in decision-making. Our updated review also found that patient decision aids increased patients' feeling informed and clear about their personal values. There was no difference in decision regret between people using decision aids versus those receiving usual care. Further studies are needed to assess the impact of patient decision aids on adherence and downstream effects on cost and resource use.
Collapse
Affiliation(s)
- Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | | | - Meg Carley
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Robert Volk
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisa E Douglas
- Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | | | - Michael J Barry
- Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA
| | - Carol L Bennett
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Paulina Bravo
- Education and Cancer Prevention, Fundación Arturo López Pérez, Santiago, Chile
| | - Karina Steffensen
- Center for Shared Decision Making, IRS - Lillebælt Hospital, Vejle, Denmark
| | - Amédé Gogovor
- VITAM - Centre de recherche en santé durable, Université Laval, Quebec, Canada
| | - Ian D Graham
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Shannon E Kelly
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - France Légaré
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL-UL), Université Laval, Quebec, Canada
| | | | - Richard Thomson
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Logan Trenaman
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA
| | | |
Collapse
|
3
|
Guay-Bélanger S, Aubin E, Cimon M, Archambault P, Blanchette V, Giguere A, Gogovor A, Morin M, Ben Charif A, Ben Gaied N, Bickerstaff J, Chénard N, Emond J, Gilbert J, Violet I, Légaré F. Engagement of Older Adults Receiving Home Care Services and Their Caregivers in Health Decisions in Partnership With Clinical Teams: Protocol for a Multimethod Study to Prioritize and Culturally Adapt Decision Aids for Home Care. JMIR Res Protoc 2023; 12:e53150. [PMID: 37889512 PMCID: PMC10696497 DOI: 10.2196/53150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Older adults (people aged 65 years and older) face many difficult decisions. Patient decision aids (PtDAs) can help them and their families make informed value-congruent decisions. Some PtDAs have been developed for the home care context, but little is known about scaling them for use with older adults in a different culture. OBJECTIVE This study aims to (1) assess the scalability of existing PtDAs for older adults in the home care context; (2) prioritize those that best match the decisional needs of older adults in home care; and (3) culturally adapt the prioritized PtDAs so they can be scaled successfully to the Quebec health care system. METHODS This multimethod study includes 3 phases. All phases will be overseen by a steering committee of older adults, caregivers, health professionals, decision makers, community organization representatives, and researchers with the needed expertise. In phase 1, we will use the Innovation Scalability Self-administered Questionnaire, a validated scalability self-assessment tool, to assess the scalability of 33 PtDAs previously identified in a systematic review. Based on their scalability, their quality (based on the International Patient Decision Aids Standards), and the importance of the decision point, we will retain approximately a third of these. In phase 2, we will conduct a 2-round web-based Delphi to prioritize the PtDAs selected in phase 1. Using a snowball recruitment strategy, we aim to recruit 60 Delphi participants in the province of Quebec, including older adults, caregivers, health professionals, decision makers involved in home care services, and PtDA experts. In the first round, we will ask participants to rate the importance of several PtDA decision points according to various criteria such as prevalence and difficulty on a 5-point Likert scale (1=not important to 5=very important). Approximately 6 of the highest-rated PtDAs will be retained for presentation in the second round, and we will select up to 3 PtDAs judged as having the highest priority for cultural adaptation. In phase 3, using the Chenel framework and user-centered design methods, we will update and adapt the PtDAs to the Quebec health care system and integrate these PtDAs into an interprofessional shared decision-making training program for home care teams. The adapted PtDAs will respect the International Patient Decision Aids Standards criteria. RESULTS This study was funded in March 2022 by the Canadian Institutes of Health Research. Data collection for the web-based Delphi began in October 2023. Results are expected to be published in May 2024. CONCLUSIONS This project will provide relevant and culturally appropriate decision support tools for older adults making difficult decisions and their home care teams that will be ready for scaling across the province of Quebec. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/53150.
Collapse
Affiliation(s)
- Sabrina Guay-Bélanger
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
| | - Emmanuelle Aubin
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
| | - Marie Cimon
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
| | - Patrick Archambault
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada
- Centre de recherche intégrée pour un système apprenant en santé et services sociaux, Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, QC, Canada
- Department of Anesthesiology and Intensive Care, Université Laval, Quebec, QC, Canada
| | - Virginie Blanchette
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Department of Human Kinetics and Podiatric Medicine, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Anik Giguere
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada
| | - Amédé Gogovor
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada
| | - Michèle Morin
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Centre de recherche intégrée pour un système apprenant en santé et services sociaux, Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, QC, Canada
- Department of Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada
| | | | | | | | - Nancy Chénard
- Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, QC, Canada
| | - Julie Emond
- Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, QC, Canada
| | - Julie Gilbert
- Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
| | - Isabelle Violet
- Ministère de la santé et des services sociaux du Québec, Quebec, QC, Canada
| | - France Légaré
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada
| |
Collapse
|
4
|
Mattos MK, Gibson JS, Wilson D, Jepson L, Ahn S, Williams IC. Shared decision-making in persons living with dementia: A scoping review. DEMENTIA 2023; 22:875-909. [PMID: 36802973 PMCID: PMC10866150 DOI: 10.1177/14713012231156976] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Evidence supports that older adults with cognitive impairment can reliably communicate their values and choices, even as cognition may decline. Shared decision-making, including the patient, family members, and healthcare providers, is critical to patient-centered care. The aim of this scoping review was to synthesize what is known about shared decision-making in persons living with dementia. A scoping review was completed in PubMed, CINAHL, and Web of Science. Keywords included content areas of dementia and shared decision-making. Inclusion criteria were as follows: description of shared or cooperative decision making, cognitively impaired patient population, adult patient, and original research. Review articles were excluded, as well as those for which the formal healthcare provider was the only team member involved in the decision-making (e.g., physician), and/or the patient sample was not cognitively impaired. Systematically extracted data were organized in a table, compared, and synthesized. The search yielded 263 non-duplicate articles that were screened by title and abstract. Ninety-three articles remained, and the full text was reviewed; 32 articles were eligible for this review. Studies were from across Europe (n = 23), North America (n = 7), and Australia (n = 2). The majority of the articles used a qualitative study design, and 10 used a quantitative study design. Categories of similar shared decision-making topics emerged, including health promotion, end-of-life, advanced care planning, and housing decisions. The majority of articles focused on shared decision-making regarding health promotion for the patient (n = 16). Findings illustrate that shared decision-making requires deliberate effort and is preferred among family members, healthcare providers, and patients with dementia. Future research should include more robust efficacy testing of decision-making tools, incorporation of evidence-based shared decisionmaking approaches based on cognitive status/diagnosis, and consideration of geographical/cultural differences in healthcare delivery systems.
Collapse
Affiliation(s)
| | | | - Dan Wilson
- Health Sciences Library, 2358University of Virginia, USA
| | - Laura Jepson
- School of Nursing, 2358University of Virginia, USA
| | - Soojung Ahn
- School of Nursing, Vanderbilt University, USA
| | | |
Collapse
|
5
|
Kraun L, De Vliegher K, Ellen M, van Achterberg T. Interventions for the empowerment of older people and informal caregivers in transitional care decision-making: short report of a systematic review. BMC Geriatr 2023; 23:113. [PMID: 36855081 PMCID: PMC9976408 DOI: 10.1186/s12877-023-03813-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Care transitions across different settings necessitate careful decision-making for all parties involved, yet research indicates that older people and informal caregivers do not have a strong voice in such decisions. OBJECTIVE To provide a systematic overview of the literature about interventions designed to empower older people and informal caregivers in transitional care decision-making. DESIGN A systematic review (Prospero Protocol CRD42020167961; funded by the EU's Horizon 2020 program). DATA SOURCES Five databases were searched: PubMed, EMBASE, Web of Science, PsycINFO, and CINAHL. REVIEW METHODS The review included evaluations of empowerment in decision-making interventions for older people and informal caregivers facing care transitions, that were published from the inception of the databases up until April 2022. Data extractions were performed by two independent researchers and the quality of studies was assessed with the relevant JBI-critical appraisal tools. A narrative descriptive analysis of the results was performed. FINDINGS Ten studies, reporting on nine interventions, and including a total of 4642 participants, were included. Interventions included transition preparation tools, support from transition coaches, shared decision-making interventions, and advance care planning. Designs and outcomes assessed were highly diverse and showed a mix of positive and lacking effects. CONCLUSIONS There is a lack of research on how to empower older people and their informal caregivers in transitional care decision-making. Empowerment in decision-making is usually not central in transitional care interventions, and effects on actual empowerment are mostly not assessed. Conclusions on how to empower older people and informal caregivers in transitional care decision-making cannot be drawn.
Collapse
Affiliation(s)
- Lotan Kraun
- Nursing Departement, Wit-Gele Kruis van Vlaanderen, Brussels, Belgium. .,KU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, University of Leuven, Leuven, Belgium. .,Department of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
| | - Kristel De Vliegher
- Nursing Departement, Wit-Gele Kruis van Vlaanderen, Brussels, Belgium.,KU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, University of Leuven, Leuven, Belgium
| | - Moriah Ellen
- Department of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.,Institute of Health Policy Management and Evaluation, Dalla Lana School Of Public Health, University of Toronto, Toronto, Canada
| | - Theo van Achterberg
- KU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, University of Leuven, Leuven, Belgium
| |
Collapse
|
6
|
Egan C, Naughton C, Caples M, Mulcahy H. Shared decision-making with adults transitioning to long-term care: A scoping review. Int J Older People Nurs 2023; 18:e12518. [PMID: 36480119 PMCID: PMC10078233 DOI: 10.1111/opn.12518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 10/06/2022] [Accepted: 10/29/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Transitions to long-term care are challenging for individuals and often associated with a loss of autonomy. Positive experiences are noted, especially when decisions involve the individual in a person-centred way which are respectful of the person's human rights. One approach which facilitates self-determination during a transitional period is shared decision-making, but there is a lack of clarity on the nature and extent of research evidence in this area. OBJECTIVE The purpose of this scoping review is to identify and document research related to shared decision-making and transitioning to long-term care. METHODS A comprehensive search in CINAHL, Medline and Psych-info identified papers which included evidence of shared decision-making during transitions to a long-term care setting. The review following the JBI and PAGER framework for scoping reviews. Data were extracted, charted and analysed according to patterns, advances, gaps, research recommendations and evidence for practice. RESULTS Eighteen papers met the inclusion criteria. A body of knowledge was identified encompassing the pattern advancements in shared decision-making during transitions to long-term care, representing developments in both the evidence base and methodological approaches. Further patterns offer evidence of the facilitators and barriers experienced by the person, their families and the professional's involved. CONCLUSIONS The evidence identified the complexity of such decision-making with efforts to engage in shared decision-making often constrained by the availability of resources, the skills of professionals and time. The findings recognise the need for partnership and person-centred approaches to optimise transitions. The review demonstrates evidence of approaches that can inform future practice and research to support all adult populations who may be faced with a transitional decision to actively participate in decision-making.
Collapse
Affiliation(s)
- Caroline Egan
- School of Nursing and Midwifery, University College Cork, Cork, Ireland
| | - Corina Naughton
- School of Nursing and Midwifery, University College Cork, Cork, Ireland
| | - Maria Caples
- School of Nursing and Midwifery, University College Cork, Cork, Ireland
| | - Helen Mulcahy
- School of Nursing and Midwifery, University College Cork, Cork, Ireland
| |
Collapse
|
7
|
Toi AK, Ben Charif A, Lai C, Ngueta G, Plourde KV, Stacey D, Légaré F. Difficult Decisions for Older Canadians Receiving Home Care, and Why They Are So Difficult: A Web-Based Decisional Needs Assessment. MDM Policy Pract 2022; 7:23814683221124090. [PMID: 36132436 PMCID: PMC9483974 DOI: 10.1177/23814683221124090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/01/2022] [Indexed: 12/01/2022] Open
Abstract
Background. Older adults receiving home care services often face
decisions related to aging, illness, and loss of autonomy. To inform tailored
shared decision making interventions, we assessed their decisional needs by
asking about the most common difficult decisions, measured associated decisional
conflict, and identified factors associated with it. Methods. In
March 2020, we conducted a cross-sectional survey with a pan-Canadian Web-based
panel of older adults (≥65 y) receiving home care services. For a difficult
decision they had faced in the past year, we evaluated clinically significant
decisional conflict (CSDC) using the 16-item Decisional Conflict Scale (score
0–100) with a >37.5 cutoff. To identify factors associated with CSDC, we
performed descriptive, bivariable, and multivariable analyses using the stepwise
selection method with an assumed entry and exit significance level of 0.15 and
0.20, respectively. Final model selection was based on the Bayesian information
criterion. Results. Among 460 participants with an average age of
72.5 y, difficult decisions were, in order of frequency, about housing and
safety (57.2%), managing health conditions (21.8%), and end-of-life care (8.3%).
CSDC was experienced by 14.6% (95% confidence interval [CI]: 11.5%, 18.1%) of
respondents on all decision points. Factors associated with CSDC included
household size = 1 (OR [95% CI]: 1.81 [0.99, 3.33]; P = 0.27),
household size = 3 (2.66 [0.78, 8.98]; P = 0.83), and household
size = 4 (6.91 [2.23, 21.39]; P = 0.014); preferred option not
matching the decision made (4.05 [2.05, 7.97]; P < 0.001);
passive role in decision making (5.13 [1.78, 14.77]; P =
0.002); and lower quality of life (0.70 [0.57, 0.87];
P<0.001). Discussion. Some older adults
receiving home care services in Canada experience CSDC when facing difficult
decisions. Shared decision-making interventions could mitigate associated
factors.
Collapse
Affiliation(s)
- Alfred Kodjo Toi
- VITAM–Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
| | - Ali Ben Charif
- VITAM–Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
| | - Claudia Lai
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
| | - Gérard Ngueta
- VITAM–Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
| | - Karine V. Plourde
- VITAM–Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
| | - Dawn Stacey
- Faculty of Health Sciences, School of Nursing, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Patient Decision Aids Research Group, Clinical Epidemiology Program, Ottawa, ON, Canada
| | - France Légaré
- VITAM–Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada
| |
Collapse
|
8
|
Lognon T, Gogovor A, Plourde KV, Holyoke P, Lai C, Aubin E, Kastner K, Canfield C, Beleno R, Stacey D, Rivest LP, Légaré F. Predictors of Decision Regret among Caregivers of Older Canadians Receiving Home Care: A Cross-Sectional Online Survey. MDM Policy Pract 2022; 7:23814683221116304. [PMID: 35983319 PMCID: PMC9380233 DOI: 10.1177/23814683221116304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 06/13/2022] [Indexed: 11/21/2022] Open
Abstract
Background. In Canada, caregivers of older adults receiving home
care face difficult decisions that may lead to decision regret. We assessed
difficult decisions and decision regret among caregivers of older adults
receiving home care services and factors associated with decision regret.
Methods. From March 13 to 30, 2020, at the outbreak of the
COVID-19 pandemic, we conducted an online survey with caregivers of older adults
receiving home care in the 10 Canadian provinces. We distributed a
self-administered questionnaire through Canada’s largest and most representative
private online panel. We identified types of difficult health-related decisions
faced in the past year and their frequency and evaluated decision regret using
the Decision Regret Scale (DRS), scored from 0 to 100. We performed descriptive
statistics as well as bivariable and multivariable linear regression to identify
factors predicting decision regret. Results. Among 932
participants, the mean age was 42.2 y (SD = 15.6 y), and 58.4% were male. The
most frequently reported difficult decisions were regarding housing and safety
(75.1%). The mean DRS score was 28.8/100 (SD = 8.6). Factors associated with
less decision regret included higher caregiver age, involvement of other family
members in the decision-making process, wanting to receive information about the
options, and considering organizations interested in the decision topic and
health care professionals as trustworthy sources of information (all
P < 0.001). Factors associated with more decision regret
included mismatch between the caregiver’s preferred option and the decision
made, the involvement of spouses in the decision-making process, higher
decisional conflict, and higher burden of care (all P <
0.001). Discussion. Decisions about housing and safety were the
difficult decisions most frequently encountered by caregivers of older adults in
this survey. Our results will inform future decision support interventions.
Collapse
Affiliation(s)
- Tania Lognon
- VITAM – Centre de recherche en santé durable, Quebec, QC, Canada
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
| | - Amédé Gogovor
- VITAM – Centre de recherche en santé durable, Quebec, QC, Canada
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
- Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit, Quebec, QC, Canada
| | - Karine V. Plourde
- VITAM – Centre de recherche en santé durable, Quebec, QC, Canada
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
| | - Paul Holyoke
- SE Research Centre, SE Health, Markham, ON, Canada
| | - Claudia Lai
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
| | | | | | - Carolyn Canfield
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
- Caregiver Partner, Canada
| | | | - Dawn Stacey
- Faculty of Health Sciences, School of Nursing, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Patient Decision Aids Research Group, Clinical Epidemiology Program, Ottawa, ON, Canada
| | - Louis-Paul Rivest
- Tier 1 Canada Research Chair in Statistical Sampling and Data Analysis, Université Laval, Quebec, QC, Canada
- Faculty of Sciences and Engineering, Department of Mathematics and Statistics, Université Laval, Quebec, QC, Canada
| | - France Légaré
- VITAM – Centre de recherche en santé durable, Quebec, QC, Canada
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, Université Laval, Quebec, QC, Canada
- Research Center CHU de Québec, Université Laval, Quebec, QC, Canada
- Department of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada
| |
Collapse
|
9
|
Adisso ÉL, Taljaard M, Stacey D, Brière N, Zomahoun HTV, Durand PJ, Rivest LP, Légaré F. Does Adding Training in Shared Decision Making for Home Care Teams to Providing Decision Guides Better Engage Frail Elders and Caregivers in Housing Decisions? :A Stepped-Wedge Cluster Randomized Trial. JMIR Aging 2022; 5:e39386. [PMID: 35759791 PMCID: PMC9533197 DOI: 10.2196/39386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/06/2022] [Accepted: 06/27/2022] [Indexed: 11/24/2022] Open
Abstract
Background Frail older adults and caregivers need support from their home care teams in making difficult housing decisions, such as whether to remain at home, with or without assistance, or move into residential care. However, home care teams are often understaffed and busy, and shared decision-making training is costly. Nevertheless, overall awareness of shared decision-making is increasing. We hypothesized that distributing a decision aid could be sufficient for providing decision support without the addition of shared decision-making training for home care teams. Objective We evaluated the effectiveness of adding web-based training and workshops for care teams in interprofessional shared decision-making to passive dissemination of a decision guide on the proportion of frail older adults or caregivers of cognitively-impaired frail older adults reporting active roles in housing decision-making. Methods We conducted a stepped-wedge cluster randomized trial with home care teams in 9 health centers in Quebec, Canada. Participants were frail older adults or caregivers of cognitively impaired frail older adults facing housing decisions and receiving care from the home care team at one of the participating health centers. The intervention consisted of a 1.5-hour web-based tutorial for the home care teams plus a 3.5-hour interactive workshop in interprofessional shared decision-making using a decision guide that was designed to support frail older adults and caregivers in making housing decisions. The control was passive dissemination of the decision guide. The primary outcome was an active role in decision-making among frail older adults and caregivers, measured using the Control Preferences Scale. Secondary outcomes included decisional conflict and perceptions of how much care teams involved frail older adults and caregivers in decision-making. We performed an intention-to-treat analysis. Results A total of 311 frail older adults were included in the analysis, including 208 (66.9%) women, with a mean age of 81.2 (SD 7.5) years. Among 339 caregivers of cognitively-impaired frail older adults, 239 (70.5%) were female and their mean age was 66.4 (SD 11.7) years. The intervention increased the proportion of frail older adults reporting an active role in decision-making by 3.3% (95% CI –5.8% to 12.4%, P=.47) and the proportion of caregivers of cognitively-impaired frail older adults by 6.1% (95% CI -11.2% to 23.4%, P=.49). There was no significant impact on the secondary outcomes. However, the mean score for the frail older adults’ perception of how much health professionals involved them in decision-making increased by 5.4 (95% CI −0.6 to 11.4, P=.07) and the proportion of caregivers who reported decisional conflict decreased by 7.5% (95% CI −16.5% to 1.6%, P=.10). Conclusions Although it slightly reduced decisional conflict for caregivers, shared decision-making training did not equip home care teams significantly better than provision of a decision aid for involving frail older adults and their caregivers in decision-making. Trial Registration ClinicalTrials.gov NCT02592525; https://clinicaltrials.gov/show/NCT02592525
Collapse
Affiliation(s)
- Évèhouénou Lionel Adisso
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, 2525 Chemin de la Canardière bureau A-3421, Québec, CA.,VITAM - Centre de recherche en santé durable, Quebec, QC, CA.,Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, CA
| | - Monica Taljaard
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, CA.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, CA
| | - Dawn Stacey
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, CA.,School of Nursing, University of Ottawa, Ottawa, CA
| | - Nathalie Brière
- Centre intégré universitaire de santé et de services sociaux (CIUSSS) de la Capitale-Nationale, Direction des services multidisciplinaires, Quebec, QC, CA
| | - Hervé Tchala Vignon Zomahoun
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, 2525 Chemin de la Canardière bureau A-3421, Québec, CA.,VITAM - Centre de recherche en santé durable, Quebec, QC, CA.,Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, CA.,Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit, Quebec, QC, CA.,Faculty of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, QC, CA
| | - Pierre Jacob Durand
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, CA
| | - Louis-Paul Rivest
- Department of Mathematics and Statistics, Université Laval, Quebec, QC, CA.,Canada Research Chair in Statistical Sampling and Data Analysis, Laval University, Quebec, QC, CA
| | - France Légaré
- Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation, 2525 Chemin de la Canardière bureau A-3421, Québec, CA.,VITAM - Centre de recherche en santé durable, 2525 Chemin de la Canardière bureau A-3421, Québec, CA.,Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit, 2525 Chemin de la Canardière bureau A-3421, Québec, CA.,Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, QC, Canada, 2325 Rue de l'Université, Québec, QC G1V 0A6, QUEBEC, CA
| |
Collapse
|
10
|
Jull J, Köpke S, Smith M, Carley M, Finderup J, Rahn AC, Boland L, Dunn S, Dwyer AA, Kasper J, Kienlin SM, Légaré F, Lewis KB, Lyddiatt A, Rutherford C, Zhao J, Rader T, Graham ID, Stacey D. Decision coaching for people making healthcare decisions. Cochrane Database Syst Rev 2021; 11:CD013385. [PMID: 34749427 PMCID: PMC8575556 DOI: 10.1002/14651858.cd013385.pub2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Decision coaching is non-directive support delivered by a healthcare provider to help patients prepare to actively participate in making a health decision. 'Healthcare providers' are considered to be all people who are engaged in actions whose primary intent is to protect and improve health (e.g. nurses, doctors, pharmacists, social workers, health support workers such as peer health workers). Little is known about the effectiveness of decision coaching. OBJECTIVES To determine the effects of decision coaching (I) for people facing healthcare decisions for themselves or a family member (P) compared to (C) usual care or evidence-based intervention only, on outcomes (O) related to preparation for decision making, decisional needs and potential adverse effects. SEARCH METHODS We searched the Cochrane Library (Wiley), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid), CINAHL (Ebsco), Nursing and Allied Health Source (ProQuest), and Web of Science from database inception to June 2021. SELECTION CRITERIA We included randomised controlled trials (RCTs) where the intervention was provided to adults or children preparing to make a treatment or screening healthcare decision for themselves or a family member. Decision coaching was defined as: a) delivered individually by a healthcare provider who is trained or using a protocol; and b) providing non-directive support and preparing an adult or child to participate in a healthcare decision. Comparisons included usual care or an alternate intervention. There were no language restrictions. DATA COLLECTION AND ANALYSIS Two authors independently screened citations, assessed risk of bias, and extracted data on characteristics of the intervention(s) and outcomes. Any disagreements were resolved by discussion to reach consensus. We used the standardised mean difference (SMD) with 95% confidence intervals (CI) as the measures of treatment effect and, where possible, synthesised results using a random-effects model. If more than one study measured the same outcome using different tools, we used a random-effects model to calculate the standardised mean difference (SMD) and 95% CI. We presented outcomes in summary of findings tables and applied GRADE methods to rate the certainty of the evidence. MAIN RESULTS Out of 12,984 citations screened, we included 28 studies of decision coaching interventions alone or in combination with evidence-based information, involving 5509 adult participants (aged 18 to 85 years; 64% female, 52% white, 33% African-American/Black; 68% post-secondary education). The studies evaluated decision coaching used for a range of healthcare decisions (e.g. treatment decisions for cancer, menopause, mental illness, advancing kidney disease; screening decisions for cancer, genetic testing). Four of the 28 studies included three comparator arms. For decision coaching compared with usual care (n = 4 studies), we are uncertain if decision coaching compared with usual care improves any outcomes (i.e. preparation for decision making, decision self-confidence, knowledge, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching compared with evidence-based information only (n = 4 studies), there is low certainty-evidence that participants exposed to decision coaching may have little or no change in knowledge (SMD -0.23, 95% CI: -0.50 to 0.04; 3 studies, 406 participants). There is low certainty-evidence that participants exposed to decision coaching may have little or no change in anxiety, compared with evidence-based information. We are uncertain if decision coaching compared with evidence-based information improves other outcomes (i.e. decision self-confidence, feeling uninformed) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with usual care (n = 17 studies), there is low certainty-evidence that participants may have improved knowledge (SMD 9.3, 95% CI: 6.6 to 12.1; 5 studies, 1073 participants). We are uncertain if decision coaching plus evidence-based information compared with usual care improves other outcomes (i.e. preparation for decision making, decision self-confidence, feeling uninformed, unclear values, feeling unsupported, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with evidence-based information only (n = 7 studies), we are uncertain if decision coaching plus evidence-based information compared with evidence-based information only improves any outcomes (i.e. feeling uninformed, unclear values, feeling unsupported, knowledge, anxiety) as the certainty of the evidence was very low. AUTHORS' CONCLUSIONS Decision coaching may improve participants' knowledge when used with evidence-based information. Our findings do not indicate any significant adverse effects (e.g. decision regret, anxiety) with the use of decision coaching. It is not possible to establish strong conclusions for other outcomes. It is unclear if decision coaching always needs to be paired with evidence-informed information. Further research is needed to establish the effectiveness of decision coaching for a broader range of outcomes.
Collapse
Affiliation(s)
- Janet Jull
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queen's University, Kingston, Canada
| | - Sascha Köpke
- Institute of Nursing Science, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Meg Carley
- Ottawa Hospital Research Institute, Ottawa, Canada
| | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Centre for Patient Involvement, Aarhus University & the Central Denmark Region, Aarhus, Denmark
| | - Anne C Rahn
- Institute of Social Medicine and Epidemiology, Nursing Research Unit, University of Lubeck, Lubeck, Germany
| | - Laura Boland
- Integrated Knowledge Translation Research Network, The Ottawa Hospital Research Institute, Ottawa, Canada
- Western University, London, Canada
| | - Sandra Dunn
- BORN Ontario, CHEO Research Institute, School of Nursing, University of Ottawa, Ottawa, Canada
| | - Andrew A Dwyer
- William F. Connell School of Nursing, Boston University, Chestnut Hill, Massachusetts, USA
- Munn Center for Nursing Research, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jürgen Kasper
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Simone Maria Kienlin
- Faculty of Health Sciences, Department of Health and Caring Sciences, University of Tromsø, Tromsø, Norway
- The South-Eastern Norway Regional Health Authority, Department of Medicine and Healthcare, Hamar, Norway
| | - France Légaré
- Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Canada
| | - Krystina B Lewis
- School of Nursing, University of Ottawa, Ottawa, Canada
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Canada
| | | | - Claudia Rutherford
- School of Psychology, Quality of Life Office, University of Sydney, Camperdown, Australia
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Junqiang Zhao
- School of Nursing, University of Ottawa, Ottawa, Canada
| | - Tamara Rader
- Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada
| | - Ian D Graham
- Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
| |
Collapse
|
11
|
Lawani MA, Côté L, Coudert L, Morin M, Witteman HO, Caron D, Kroger E, Voyer P, Rodriguez C, Légaré F, Giguere AMC. Professional training on shared decision making with older adults living with neurocognitive disorders: a mixed-methods implementation study. BMC Med Inform Decis Mak 2020; 20:189. [PMID: 32787829 PMCID: PMC7424655 DOI: 10.1186/s12911-020-01197-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 07/22/2020] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Shared decision making with older adults living with neurocognitive disorders is challenging for primary healthcare professionals. We studied the implementation of a professional training program featuring an e-learning activity on shared decision making and five Decision Boxes on the care of people with neurocognitive disorders, and measured the program's effects. METHODS In this mixed-methods study, we recruited healthcare professionals in family medicine clinics and homecare settings in the Quebec City area (Canada). The professionals signed up for training as a continuing professional development activity and answered an online survey before and after training to assess their knowledge, and intention to adopt shared decision making. We recorded healthcare professionals' access to each training component, and conducted telephone interviews with a purposeful sample of extreme cases: half had completed training and the other half had not. We performed bivariate analyses with the survey data and a thematic qualitative analysis of the interviews, as per the theory of planned behaviour. RESULTS Of the 47 participating healthcare professionals, 31 (66%) completed at least one training component. Several factors restricted participation, including lack of time, training fragmentation into several components, poor adaptation of training to specific professions, and technical/logistical barriers. Ease of access, ease of use, the usefulness of training content and the availability of training credits fostered participation. Training allowed Healthcare professionals to improve their knowledge about risk communication (p = 0.02), and their awareness of the options (P = 0.011). Professionals' intention to adopt shared decision making was high before training (mean ± SD = 5.88 ± 0.99, scale from 1 to 7, with 7 high) and remained high thereafter (5.94 ± 0.9). CONCLUSIONS The results of this study will allow modifying the training program to improve participation rates and, ultimately, uptake of meaningful shared decision making with patients living with neurocognitive disorders.
Collapse
Affiliation(s)
- Moulikatou Adouni Lawani
- Department of Family Medicine and Emergency Medicine, Laval University, Pavillon Ferdinand-Vandry, room 2881, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
| | - Luc Côté
- Department of Family Medicine and Emergency Medicine, Laval University, Pavillon Ferdinand-Vandry, room 1323, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
| | - Laetitia Coudert
- Quebec Excellence Centre on Aging, St-Sacrement Hospital, 1050 chemin Ste-Foy, Quebec, QC G1S 4L8 Canada
| | - Michèle Morin
- Laval University, Pavillon Ferdinand-Vandry, room 4211, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
| | - Holly O. Witteman
- Department of Family Medicine and Emergency Medicine, Laval University, Pavillon Ferdinand-Vandry, room 2881, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
- VITAM Research Centre on Sustainable Health, Pavillon Landry-Poulin, Door A-1-2, 2nd floor, Room 2416, 2525 Chemin de la Canardière, Québec, QC G1J 0A4 Canada
| | - Danielle Caron
- VITAM Research Centre on Sustainable Health, Pavillon Landry-Poulin, Door A-1-2, 2525 Chemin de la Canardière, Québec, QC G1J 0A4 Canada
| | - Edeltraut Kroger
- Quebec Excellence Centre on Aging, St-Sacrement Hospital, Office L-2, 1050 chemin Ste-Foy, Quebec, QC G1S 4L8 Canada
| | - Philippe Voyer
- Pavillon Ferdinand-Vandry, room 3445, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
| | - Charo Rodriguez
- Department of Family Medicine, McGill University, 5858 chemin de la Côte-des-Neiges, 3rd floor, Montreal, QC H3S 1Z1 Canada
| | - France Légaré
- Department of Family Medicine and Emergency Medicine, Laval University, Pavillon Ferdinand-Vandry, room 2881, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
- VITAM Research Centre on Sustainable Health, Pavillon Landry-Poulin, Door A-1-2, 4th floor, Room 4578, 2525 Chemin de la Canardière, Québec, QC G1J 0A4 Canada
| | - Anik M. C. Giguere
- Department of Family Medicine and Emergency Medicine, Laval University, Pavillon Ferdinand-Vandry, room 2881, 1050 avenue de la Médecine, Quebec, QC G1V 0A6 Canada
- VITAM Research Centre on Sustainable Health, Pavillon Landry-Poulin, Door A-1-2, 2nd floor, Room 2416, 2525 Chemin de la Canardière, Québec, QC G1J 0A4 Canada
- Quebec Excellence Centre on Aging, St-Sacrement Hospital, Office L-2, 1050 chemin Ste-Foy, Quebec, QC G1S 4L8 Canada
| |
Collapse
|
12
|
Adekpedjou R, Haesebaert J, Stacey D, Brière N, Freitas A, Rivest LP, Légaré F. Variations in factors associated with healthcare providers' intention to engage in interprofessional shared decision making in home care: results of two cross-sectional surveys. BMC Health Serv Res 2020; 20:203. [PMID: 32164669 PMCID: PMC7069220 DOI: 10.1186/s12913-020-5064-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 02/28/2020] [Indexed: 12/14/2022] Open
Abstract
Background DOLCE (Improving Decision making On Location of Care with the frail Elderly and their caregivers) was a post-intervention clustered randomised trial (cRT) to assess the effect of training home care teams on interprofessional shared decision-making (IP-SDM). Alongside the cRT, we sought to monitor healthcare providers’ level of behavioural intention to engage in an IP-SDM approach and to identify factors associated with this intention. Methods We conducted two cross-sectional surveys in the province of Quebec, Canada, one each at cRT entry and exit. Healthcare providers (e.g. nurses, occupational therapists and social workers) in the 16 participating intervention and control sites self-completed an identical paper-based questionnaire at entry and exit. Informed by the Integrated model for explaining healthcare professionals’ clinical behaviour by Godin et al. (2008), we assessed their behavioural intention to engage in IP-SDM to support older adults and caregivers of older adults with cognitive impairment to make health-related housing decisions. We also assessed psychosocial variables underlying their behavioural intention and collected sociodemographic data. We used descriptive statistics and linear mixed models to account for clustering. Results Between 2014 and 2016, 271 healthcare providers participated at study entry and 171 at exit. At entry, median intention level was 6 in a range of 1 (low) to 7 (high) (Interquartile range (IQR): 5–6.5) and factors associated with intention were social influence (β = 0.27, P < 0.0001), beliefs about one’s capabilities (β = 0.43, P < 0.0001), moral norm (β = 0.31, P < 0.0001) and beliefs about consequences (β = 0.21, P < 0.0001). At exit, median intention level was 5.5 (IQR: 4.5–6.5). Factors associated with intention were the same but did not include moral norm. However, at exit new factors were kept in the model: working in rehabilitation (β = − 0.39, P = 0.018) and working as a technician (β = − 0.41, P = 0.069) (compared to as a social worker). Conclusion Intention levels were high but decreased from entry to exit. Factors associated with intention also changed from study entry to study exit. These findings may be explained by the major restructuring of the health and social care system that took place during the 2 years of the study, leading to rapid staff turnover and organisational disturbance in home care teams. Future research should give more attention to contextual factors and design implementation interventions to withstand the disruption of system- and organisational-level disturbances. Trial registration Clinicaltrials.gov (NCT02244359). Registered on September 19th, 2014.
Collapse
Affiliation(s)
- Rhéda Adekpedjou
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval, Quebec, Canada
| | - Julie Haesebaert
- Université de Lyon, Université Claude Bernard Lyon 1, Université Saint-Étienne, HESPER EA 7425, F-69008 Lyon, F-42023, Saint-Etienne, France
| | - Dawn Stacey
- Ottawa Hospital Research Institute and Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | - Nathalie Brière
- Centre intégré universitaire en santé et services sociaux de la Capitale-Nationale, Quebec, Canada
| | - Adriana Freitas
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval, Quebec, Canada
| | - Louis-Paul Rivest
- Department of Mathematics and Statistics, Université Laval, Quebec, Canada
| | - France Légaré
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval, Quebec, Canada. .,Canada Research Chair in Shared Decision Making and Knowledge Translation, 2525, chemin de la Canardière, Quebec, G1J 0A4, Canada.
| |
Collapse
|
13
|
Ostermann J, Brown DS, van Til JA, Bansback N, Légaré F, Marshall DA, Bewtra M. Support Tools for Preference-Sensitive Decisions in Healthcare: Where Are We? Where Do We Go? How Do We Get There? PATIENT-PATIENT CENTERED OUTCOMES RESEARCH 2019; 12:439-443. [DOI: 10.1007/s40271-019-00372-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|