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Aoki Y, Yaju Y, Utsumi T, Sanyaolu L, Storm M, Takaesu Y, Watanabe K, Watanabe N, Duncan E, Edwards AG. Shared decision-making interventions for people with mental health conditions. Cochrane Database Syst Rev 2022; 11:CD007297. [PMID: 36367232 PMCID: PMC9650912 DOI: 10.1002/14651858.cd007297.pub3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND One person in every four will suffer from a diagnosable mental health condition during their life. Such conditions can have a devastating impact on the lives of the individual and their family, as well as society. International healthcare policy makers have increasingly advocated and enshrined partnership models of mental health care. Shared decision-making (SDM) is one such partnership approach. Shared decision-making is a form of service user-provider communication where both parties are acknowledged to bring expertise to the process and work in partnership to make a decision. This review assesses whether SDM interventions improve a range of outcomes. This is the first update of this Cochrane Review, first published in 2010. OBJECTIVES To assess the effects of SDM interventions for people of all ages with mental health conditions, directed at people with mental health conditions, carers, or healthcare professionals, on a range of outcomes including: clinical outcomes, participation/involvement in decision-making process (observations on the process of SDM; user-reported, SDM-specific outcomes of encounters), recovery, satisfaction, knowledge, treatment/medication continuation, health service outcomes, and adverse outcomes. SEARCH METHODS We ran searches in January 2020 in CENTRAL, MEDLINE, Embase, and PsycINFO (2009 to January 2020). We also searched trial registers and the bibliographies of relevant papers, and contacted authors of included studies. We updated the searches in February 2022. When we identified studies as potentially relevant, we labelled these as studies awaiting classification. SELECTION CRITERIA Randomised controlled trials (RCTs), including cluster-randomised controlled trials, of SDM interventions in people with mental health conditions (by Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria). DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. We used GRADE to assess the certainty of the evidence. MAIN RESULTS This updated review included 13 new studies, for a total of 15 RCTs. Most participants were adults with severe mental illnesses such as schizophrenia, depression, and bipolar disorder, in higher-income countries. None of the studies included children or adolescents. Primary outcomes We are uncertain whether SDM interventions improve clinical outcomes, such as psychiatric symptoms, depression, anxiety, and readmission, compared with control due to very low-certainty evidence. For readmission, we conducted subgroup analysis between studies that used usual care and those that used cognitive training in the control group. There were no subgroup differences. Regarding participation (by the person with the mental health condition) or level of involvement in the decision-making process, we are uncertain if SDM interventions improve observations on the process of SDM compared with no intervention due to very low-certainty evidence. On the other hand, SDM interventions may improve SDM-specific user-reported outcomes from encounters immediately after intervention compared with no intervention (standardised mean difference (SMD) 0.63, 95% confidence interval (CI) 0.26 to 1.01; 3 studies, 534 participants; low-certainty evidence). However, there was insufficient evidence for sustained participation or involvement in the decision-making processes. Secondary outcomes We are uncertain whether SDM interventions improve recovery compared with no intervention due to very low-certainty evidence. We are uncertain if SDM interventions improve users' overall satisfaction. However, one study (241 participants) showed that SDM interventions probably improve some aspects of users' satisfaction with received information compared with no intervention: information given was rated as helpful (risk ratio (RR) 1.33, 95% CI 1.08 to 1.65); participants expressed a strong desire to receive information this way for other treatment decisions (RR 1.35, 95% CI 1.08 to 1.68); and strongly recommended the information be shared with others in this way (RR 1.32, 95% CI 1.11 to 1.58). The evidence was of moderate certainty for these outcomes. However, this same study reported there may be little or no effect on amount or clarity of information, while another small study reported there may be little or no change in carer satisfaction with the SDM intervention. The effects of healthcare professional satisfaction were mixed: SDM interventions may have little or no effect on healthcare professional satisfaction when measured continuously, but probably improve healthcare professional satisfaction when assessed categorically. We are uncertain whether SDM interventions improve knowledge, treatment continuation assessed through clinic visits, medication continuation, carer participation, and the relationship between users and healthcare professionals because of very low-certainty evidence. Regarding length of consultation, SDM interventions probably have little or no effect compared with no intervention (SDM 0.09, 95% CI -0.24 to 0.41; 2 studies, 282 participants; moderate-certainty evidence). On the other hand, we are uncertain whether SDM interventions improve length of hospital stay due to very low-certainty evidence. There were no adverse effects on health outcomes and no other adverse events reported. AUTHORS' CONCLUSIONS This review update suggests that people exposed to SDM interventions may perceive greater levels of involvement immediately after an encounter compared with those in control groups. Moreover, SDM interventions probably have little or no effect on the length of consultations. Overall we found that most evidence was of low or very low certainty, meaning there is a generally low level of certainty about the effects of SDM interventions based on the studies assembled thus far. There is a need for further research in this area.
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Affiliation(s)
- Yumi Aoki
- Department of Psychiatric and Mental Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Yukari Yaju
- Department of Epidemiology and Biostatistics for Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan
| | - Tomohiro Utsumi
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Leigh Sanyaolu
- Division of Population Medicine, Cardiff University, Cardiff, UK
| | - Marianne Storm
- Department of Public Health, Faculty of Health Science, University of Stavanger, Stavanger, Norway
- Faculty of Health Sciences and Social Care, Molde University College, Molde, Norway
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
- Department of Neuropsychiatry, University of the Ryukyus, Okinawa, Japan
| | - Koichiro Watanabe
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Norio Watanabe
- Department of Psychiatry, Soseikai General Hospital, Kyoto, Japan
| | - Edward Duncan
- Nursing, Midwifery and Allied Health Professions Research Unit, The University of Stirling, Scotland, UK
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Haghzare S, Delfi G, Stasiulis E, Mohamud H, Dove E, Rapoport MJ, Naglie G, Mihailidis A, Campos JL. Can Automated Vehicles Be Useful to Persons Living With Dementia? The Perspectives of Care Partners of People Living With Dementia. THE GERONTOLOGIST 2021; 62:1050-1062. [PMID: 34971373 PMCID: PMC9372895 DOI: 10.1093/geront/gnab174] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Indexed: 11/15/2022] Open
Abstract
Background and Objectives Driving cessation is a complex challenge with significant emotional and health implications for people with dementia, which also affects their family care partners. Automated vehicles (AVs) could potentially be used to delay driving cessation and its adverse consequences for people with dementia and their care partners. Yet, no study to date has investigated whether care partners consider AVs to be potentially useful for people with dementia. Research Design and Methods This mixed-methods study assessed the views of 20 former or current family care partners of people with dementia on AV use by people with dementia. Specifically, questionnaires and semistructured interviews were used to examine care partners’ acceptance of AV use by people with dementia and their views about the potential usefulness of AVs for people with dementia. Results The results demonstrated that care partners identified possible benefits of AV use by people with dementia such as their anticipated higher social participation. However, care partners also voiced major concerns around AV use by people with dementia and reported significantly lower levels of trust in and perceived safety of AVs if used by the person with dementia in their care compared to themselves. Care partners’ concerns about AV use by people with dementia included concerns around the driving of people with dementia that AVs are not designed to address; concerns that are specific to AVs but are not relevant to the nonautomated driving of people with dementia; and concerns that arise from existing challenges around the nonautomated driving of people with dementia but may be exacerbated by AV use. Discussion and Implications Findings from this study can inform future designs of AVs that are more accessible and useful for people with dementia.
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Affiliation(s)
- Shabnam Haghzare
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.,KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada
| | - Ghazaleh Delfi
- KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada
| | - Elaine Stasiulis
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Hodan Mohamud
- KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada
| | - Erica Dove
- KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada
| | - Mark J Rapoport
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Gary Naglie
- Department of Medicine and Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Alex Mihailidis
- KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada.,Department of Occupational Science & Occupational Therapy and Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer L Campos
- KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
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Stasiulis E, Rapoport MJ, Sivajohan B, Naglie G. The Paradox of Dementia and Driving Cessation: "It's a Hot Topic," "Always on the Back Burner". THE GERONTOLOGIST 2021; 60:1261-1272. [PMID: 32301497 DOI: 10.1093/geront/gnaa034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Despite the well-recognized difficulty that persons with dementia and family carers experience in the decision making and transition to nondriving, there are few interventions and resources to support them. As part of our ongoing research to develop a driving cessation toolkit that addresses this gap, we sought to examine the context-specific factors relevant to its effective implementation in settings that support older adults with dementia. RESEARCH DESIGN AND METHODS A qualitative descriptive approach was used to explore the perspectives of Alzheimer Society (AS) staff in their work of supporting people with dementia and family carers within the context of driving cessation. Individual in-depth interviews were conducted with 15 AS staff members in 4 Canadian provinces. Data were examined using interpretative thematic analysis. RESULTS The study results revealed an overarching paradox that despite the importance of driving cessation in people with dementia, it continues to be largely avoided at the individual and system levels. This is explored via the themes of (a) paradox of importance and avoidance identified in AS settings; (b) lack of awareness and understanding about dementia and driving among people with dementia and family carers; (c) distress and avoidance rooted in ongoing system issues; and (d) moving driving cessation to the "front burner." DISCUSSION AND IMPLICATIONS Viewed through the emerging social health paradigm, which focuses on the social and emotional consequences of dementia, our results highlight the urgent need to mobilize our communities, medical education systems, and transportation authorities to finally resolve the dementia and driving cessation paradox.
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Affiliation(s)
- Elaine Stasiulis
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Mark J Rapoport
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Brintha Sivajohan
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Gary Naglie
- Department of Medicine and Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Departments of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada
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Abstract
OBJECTIVES This survey aimed to review aspects of clinical decision support (CDS) that contribute to burnout and identify key themes for improving the acceptability of CDS to clinicians, with the goal of decreasing said burnout. METHODS We performed a survey of relevant articles from 2018-2019 addressing CDS and aspects of clinician burnout from PubMed and Web of Science™. Themes were manually extracted from publications that met inclusion criteria. RESULTS Eighty-nine articles met inclusion criteria, including 12 review articles. Review articles were either prescriptive, describing how CDS should work, or analytic, describing how current CDS tools are deployed. The non-review articles largely demonstrated poor relevance and acceptability of current tools, and few studies showed benefits in terms of efficiency or patient outcomes from implemented CDS. Encouragingly, multiple studies highlighted steps that succeeded in improving both acceptability and relevance of CDS. CONCLUSIONS CDS can contribute to clinician frustration and burnout. Using the techniques of improving relevance, soliciting feedback, customization, measurement of outcomes and metrics, and iteration, the effects of CDS on burnout can be ameliorated.
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Affiliation(s)
- Ivana Jankovic
- Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jonathan H. Chen
- Center for Biomedical Informatics Research and Division of Hospital Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Rapoport MJ, Sarracini CZ, Mulsant BM, Seitz DP, Molnar F, Naglie G, Herrmann N, Rozmovits L. A virtual second opinion: Acceptability of a computer-based decision tool to assess older drivers with dementia. Health Informatics J 2019; 26:911-924. [PMID: 31210555 DOI: 10.1177/1460458219852870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Clinicians face challenges in deciding which older patients with dementia to report to transportation administrators. This study used a qualitative thematic analysis to understand the utility and limitations of implementing a computer-based Driving in Dementia Decision Tool in clinical practice. Thirteen physicians and eight nurse practitioners participated in an interview to discuss their experience using the tool. While many participants felt the tool provided a useful 'virtual second opinion', specialist physicians felt that the tool did not add value to their clinical practice. Barriers to using the Driving in Dementia Decision Tool included lack of integration with electronic medical records and inability to capture certain contextual nuances. Opinions varied about the impact of the tool on the relationship of clinicians with patients and their families. The Driving in Dementia Decision Tool was judged most useful by nurse practitioners and least useful by specialist physicians. This work highlights the importance of tailoring knowledge translation interventions to particular practices.
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Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev 2009; 2009:CD001096. [PMID: 19588323 PMCID: PMC4171964 DOI: 10.1002/14651858.cd001096.pub2] [Citation(s) in RCA: 271] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND The opportunity to improve care by delivering decision support to clinicians at the point of care represents one of the main incentives for implementing sophisticated clinical information systems. Previous reviews of computer reminder and decision support systems have reported mixed effects, possibly because they did not distinguish point of care computer reminders from e-mail alerts, computer-generated paper reminders, and other modes of delivering 'computer reminders'. OBJECTIVES To evaluate the effects on processes and outcomes of care attributable to on-screen computer reminders delivered to clinicians at the point of care. SEARCH STRATEGY We searched the Cochrane EPOC Group Trials register, MEDLINE, EMBASE and CINAHL and CENTRAL to July 2008, and scanned bibliographies from key articles. SELECTION CRITERIA Studies of a reminder delivered via a computer system routinely used by clinicians, with a randomised or quasi-randomised design and reporting at least one outcome involving a clinical endpoint or adherence to a recommended process of care. DATA COLLECTION AND ANALYSIS Two authors independently screened studies for eligibility and abstracted data. For each study, we calculated the median improvement in adherence to target processes of care and also identified the outcome with the largest such improvement. We then calculated the median absolute improvement in process adherence across all studies using both the median outcome from each study and the best outcome. MAIN RESULTS Twenty-eight studies (reporting a total of thirty-two comparisons) were included. Computer reminders achieved a median improvement in process adherence of 4.2% (interquartile range (IQR): 0.8% to 18.8%) across all reported process outcomes, 3.3% (IQR: 0.5% to 10.6%) for medication ordering, 3.8% (IQR: 0.5% to 6.6%) for vaccinations, and 3.8% (IQR: 0.4% to 16.3%) for test ordering. In a sensitivity analysis using the best outcome from each study, the median improvement was 5.6% (IQR: 2.0% to 19.2%) across all process measures and 6.2% (IQR: 3.0% to 28.0%) across measures of medication ordering. In the eight comparisons that reported dichotomous clinical endpoints, intervention patients experienced a median absolute improvement of 2.5% (IQR: 1.3% to 4.2%). Blood pressure was the most commonly reported clinical endpoint, with intervention patients experiencing a median reduction in their systolic blood pressure of 1.0 mmHg (IQR: 2.3 mmHg reduction to 2.0 mmHg increase). AUTHORS' CONCLUSIONS Point of care computer reminders generally achieve small to modest improvements in provider behaviour. A minority of interventions showed larger effects, but no specific reminder or contextual features were significantly associated with effect magnitude. Further research must identify design features and contextual factors consistently associated with larger improvements in provider behaviour if computer reminders are to succeed on more than a trial and error basis.
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Affiliation(s)
- Kaveh G Shojania
- Director, University of Toronto Centre for Patient Safety, Sunnybrook Health Sciences Centre, Room D474, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5
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