1
|
de Rijke TJ, Vasseur D, van der Flier WM, Minkman MM, Rhodius-Meester HF, Verwey NA, Smets EM, Visser LN. Exploring interdisciplinary perspectives on the implementation of personalized medicine and patient-orchestrated care in Alzheimer's disease: A qualitative study within the ABOARD research project. J Alzheimers Dis 2025; 105:120-133. [PMID: 40116704 DOI: 10.1177/13872877251326166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2025]
Abstract
BackgroundThe concepts of 'personalized medicine' and 'patient-orchestrated care' in Alzheimer's disease (AD) lack standard conceptualization, which presents challenges for collaborative and interdisciplinary care.ObjectiveWe explored the interpretations and perspectives of professionals involved in interdisciplinary work on a large-scale project, "ABOARD", with the aim to implement personalized medicine and patient-orchestrated care in AD.MethodsSemi-structured interviews were conducted with 30 professionals and audio-recorded. Two researchers independently coded the data inductively, followed by a thematic analysis.ResultsAccording to professionals across different disciplinary backgrounds (mean age 45.7 years; 53.3% female), personalized medicine pertains to the relevant options that an individual has, informed by biomedical and psychosocial factors, whereas patient-orchestrated care captures factors relevant to the decision-making process. Professionals differed in their views on patient-orchestrated care regarding its desirability and feasibility. The concepts were viewed as similar by professionals, as both involve personal preferences while ultimately assigning responsibility to the clinician. However, implementation challenges persist, and no thematic differences were found between clinicians and other AD-related professionals.ConclusionsAD professionals have shared interpretations and perspectives on implementation of personalized medicine but differed in their views on patient-orchestrated care. Personal preferences are seen as part of personalized medicine, but not yet reflected in definitions in the AD field and beyond. Critical discussions on the challenges and existing doubts are necessary for both personalized medicine and patient-orchestrated care. Multi-level implementation changes are needed for both concepts, which warrants stakeholder involvement as well as support and resources from the entire AD field.
Collapse
Affiliation(s)
- Tanja J de Rijke
- Amsterdam UMC, University of Amsterdam, Medical Psychology, Meibergdreef 9, Amsterdam, the Netherlands
- Alzheimercentrum Amsterdam, Neurologie, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Amsterdam Public Health, Personalized Medicine & Quality of Care, Amsterdam, the Netherlands
| | - Dianne Vasseur
- Vilans, the national Centre of expertise for care and support, Utrecht, the Netherlands
| | - Wiesje M van der Flier
- Alzheimercentrum Amsterdam, Neurologie, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Epidemiology & Data Science, Vrije Universiteit Amsterdam UMC, Amsterdam, the Netherlands
| | - Mirella Mn Minkman
- Vilans, the national Centre of expertise for care and support, Utrecht, the Netherlands
- Tilburg University, TIAS School for business and society, Tilburg, the Netherlands
| | - Hanneke Fm Rhodius-Meester
- Alzheimercentrum Amsterdam, Neurologie, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Internal medicine, Geriatric Medicine section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway
| | - Nicolaas A Verwey
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Neurology, Memory Clinic, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Ellen Ma Smets
- Amsterdam UMC, University of Amsterdam, Medical Psychology, Meibergdreef 9, Amsterdam, the Netherlands
- Amsterdam Public Health, Personalized Medicine & Quality of Care, Amsterdam, the Netherlands
| | - Leonie Nc Visser
- Amsterdam UMC, University of Amsterdam, Medical Psychology, Meibergdreef 9, Amsterdam, the Netherlands
- Alzheimercentrum Amsterdam, Neurologie, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Amsterdam Public Health, Personalized Medicine & Quality of Care, Amsterdam, the Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
2
|
Hazan J, Liu KY, Isaacs JD, Howard R. Cut-points and gray zones: The challenges of integrating Alzheimer's disease plasma biomarkers into clinical practice. Alzheimers Dement 2025; 21:e70113. [PMID: 40145267 PMCID: PMC11947736 DOI: 10.1002/alz.70113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 02/19/2025] [Accepted: 02/26/2025] [Indexed: 03/28/2025]
Abstract
Plasma biomarkers for Alzheimer's disease (AD), such as plasma phosphorylated (p)-tau217, offer a more accessible means of testing for the presence of AD pathology compared to cerebrospinal fluid (CSF) or positron emission tomography (PET) methods. They can support diagnostic assessment and determine patient eligibility for treatment with amyloid beta-lowering drugs in community settings where access to CSF examination and amyloid-PET are limited. However, there are important challenges associated with interpreting and integrating plasma biomarker results in clinical practice. This article explores different approaches to interpreting plasma biomarker results in secondary care, important potential sources of uncertainty, and considerations for their clinical application. HIGHLIGHTS: Plasma biomarkers such as phosphorylated tau-217 (p-tau217) offer a promising, accessible alternative to cerebrospinal fluid (CSF) and positron emission tomography (PET) for detecting Alzheimer's disease pathology, especially in settings with limited diagnostic resources. Clinical integration of plasma biomarker testing presents challenges, particularly in interpreting results. This includes uncertainties around intermediate results and their role in patient management. Clear frameworks and guidelines are essential to optimize the use of plasma biomarkers, supported by further research and education to ensure effective application in clinical practice.
Collapse
Affiliation(s)
- Jemma Hazan
- Division of PsychiatryUniversity College LondonLondonUK
| | - Kathy Y. Liu
- Division of PsychiatryUniversity College LondonLondonUK
| | - Jeremy D. Isaacs
- St George's University Hospitals NHS Foundation TrustLondonUK
- Neuroscience & Cell Biology Research Institute, St George's School of Health and Medical SciencesCity St George's, University of LondonLondonUK
| | - Robert Howard
- Division of PsychiatryUniversity College LondonLondonUK
| |
Collapse
|
3
|
Hendriksen HMA, de Rijke TJ, Fruijtier A, van de Giessen E, van Harten AC, van Leeuwenstijn‐Koopman MSSA, van der Schaar J, Trieu C, Visser D, Smets EMA, Visser LNC, van der Flier WM. Amyloid PET disclosure in subjective cognitive decline: Patient experiences over time. Alzheimers Dement 2024; 20:6556-6565. [PMID: 39087383 PMCID: PMC11497681 DOI: 10.1002/alz.14148] [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: 04/15/2024] [Revised: 06/27/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024]
Abstract
INTRODUCTION We disclosed amyloid positron emission tomography (PET) results in individuals with subjective cognitive decline (SCD) and studied patient experiences and outcomes over a 6-month period. METHODS Fifty-seven participants from the Subjective Cognitive Impairment Cohort (SCIENCe) (66 ± 8 years, 21 [37%] F, Mini-Mental State Examination 29 ± 1, 15 [26%] amyloid positive [A+]) completed questionnaires 1 week prior (T0), 1 day after (T1), and 6 months after amyloid PET disclosure (T2). Questionnaires addressed patient-reported experiences and outcomes. RESULTS Independent of amyloid status, participants were satisfied with the consultation (scale 1-10; 7.9 ± 1.7) and information provided (scale 1-4; T1: 3.3 ± 0.9, T2: 3.2 ± 0.8). After 6 months, A+ participants reported more information needs (45% vs. 12%, p = 0.02). Independent of amyloid status, decision regret (scale 1-5; A+: 1.5 ± 0.9, A-: 1.4 ± 0.6, p = 0.53) and negative emotions (negative affect, uncertainty, anxiety) were low (all p > 0.15 and Pinteraction > 0.60). DISCUSSION Participants with SCD valued amyloid PET disclosure positively, regardless of amyloid status. The need for information after 6 months, which was stronger in A+ individuals, underscores the importance of follow-up. HIGHLIGHTS Participants with subjective cognitive decline (SCD) positively valued amyloid positron emission tomography (PET) disclosure. Participants with SCD experienced low levels of decision regret. We did not observe an increase in negative emotions. After 6 months, amyloid-positive individuals wanted more information.
Collapse
Affiliation(s)
- Heleen M. A. Hendriksen
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Tanja J. de Rijke
- Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public HealthQuality of CarePersonalized MedicineAmsterdamthe Netherlands
| | - Agnetha Fruijtier
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public HealthQuality of CarePersonalized MedicineAmsterdamthe Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology & Nuclear MedicineVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceBrain ImagingAmsterdamthe Netherlands
| | - Argonde C. van Harten
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Mardou S. S. A. van Leeuwenstijn‐Koopman
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Jetske van der Schaar
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Calvin Trieu
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Denise Visser
- Department of Radiology & Nuclear MedicineVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceBrain ImagingAmsterdamthe Netherlands
| | - Ellen M. A. Smets
- Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public HealthQuality of CarePersonalized MedicineAmsterdamthe Netherlands
| | - Leonie N. C. Visser
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Medical PsychologyAmsterdam UMC location AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public HealthQuality of CarePersonalized MedicineAmsterdamthe Netherlands
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Epidemiology and Data ScienceVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
| |
Collapse
|
4
|
Aspö M, Sundell M, Protsiv M, Wiggenraad F, Rydén M, Mangialasche F, Kivipelto M, Visser LNC. The expectations and experiences of patients regarding the diagnostic workup at a specialized memory clinic: An interview study. Health Expect 2024; 27:e14021. [PMID: 38515262 PMCID: PMC10958124 DOI: 10.1111/hex.14021] [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: 09/27/2023] [Revised: 03/07/2024] [Accepted: 03/10/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Because of the shift towards earlier diagnosis of dementia and/or Alzheimer's disease (AD), increasing numbers of individuals with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are seen in memory clinics. Yet, evidence indicates that there is room for improvement when it comes to tailoring of the diagnostic work-up to the needs of individual patients. To optimize the quality of care, we explored patients' perspectives regarding the diagnostic work-up at a specialized memory clinic. METHODS This interview study was conducted at Karolinska University Hospital (Sweden). The comprehensive diagnostic work-up for dementia at the memory clinic in Solna is conducted within 1 week. A sample of 15 patients (8 female; mean age = 61 years [range 50-72]; 11 SCD, 1 MCI and 3 AD dementia) was purposively selected for a series of three semistructured interviews, focussing on (1) needs and expectations (during the week of diagnostic testing), (2) experiences (within 2 weeks after test-result disclosure) and (3) reflections and evaluation (3 months after disclosure). Transcribed audio-recorded data were analyzed using thematic content analysis (using MaxQDA software). RESULTS Three key themes were identified: (1) the expectations and motivations of individuals for visiting the memory clinic strongly impacted their experience; (2) the diagnostic work-up impacted individuals psychosocially and (3) the diagnostic work-up provided an opportunity to motivate individuals to adopt a healthier lifestyle. CONCLUSION Our findings underscore the importance of enquiring about the expectations and needs of individuals referred to a specialized memory clinic, allowing for expectation management and personalization of provided information/advice, and potentially informing the selection of patients in need of a comprehensive diagnostic work-up. Structural guidance might be needed to support those with SCD and MCI to help them cope with uncertainty, potentially resolve their issues, and/or stimulate brain health. PATIENT OR PUBLIC CONTRIBUTION We gathered the perspectives of 15 individuals who had been referred to the memory clinic at three different time points through semistructured interviews, and these interviews were the primary data source.
Collapse
Affiliation(s)
- Malin Aspö
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
| | - Maria Sundell
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
| | - Myroslava Protsiv
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
| | - Fleur Wiggenraad
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
| | - Marie Rydén
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and Aging, Medical Unit AgingKarolinska University HospitalStockholmSweden
- The Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandKuopioFinland
| | - Leonie N. C. Visser
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Department of Medical Psychology, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
- Amsterdam Public Health Research InstituteQuality of CareAmsterdamThe Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam University Medical CenterVU University Medical CenterAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| |
Collapse
|
5
|
Linden I, Wolfs C, Hevink M, Dirksen C, Ponds R, Perry M. Why to test for dementia: perspectives of patients, significant others and general practitioners. Age Ageing 2024; 53:afad251. [PMID: 38251737 PMCID: PMC10801826 DOI: 10.1093/ageing/afad251] [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: 05/26/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND This study aims to provide greater insight into the current decision-making process on diagnostic testing for dementia by exploring the expectations, needs and experiences of patients with memory complaints, significant others and general practitioners (GPs). METHODS We performed semi-structured interviews with patients (>60 years) who consulted their GP on memory complaints, significant others and GPs. Participants were recruited until data saturation was reached in thematic analysis of interview transcripts. RESULTS We performed 51 interviews (patients n = 20, significant others n = 15, GPs n = 16). Thematic analysis revealed four themes: (i) 'drivers to (not) testing', i.e. need to act on symptoms, beliefs on the necessity and expected outcomes of diagnostic testing; (ii) 'patient preferences and context are critical in the actual decision', i.e. in the actual decision-making process interpretation of symptoms, GPs' desire to meet patient preferences, social context and healthcare system dynamics guided the decision; (iii) 'need for individualised communication in the decision-making process', i.e. for patients feeling heard was a prerequisite for decision-making and GPs tailored communication strategies to individual patients and (iv) 'GP practice and barriers to shared decision-making (SDM)', i.e. although GPs value SDM in the decision on diagnostic testing for dementia, patients express limited awareness of the decision and options at stake. CONCLUSIONS Decision-making on diagnostic testing for dementia is a multifactorial and preference-guided process for all involved stakeholders, but decisions are often not explicitly jointly made. Development of patient decision aids could facilitate better involvement and more informed choices by patients.
Collapse
Affiliation(s)
- Iris Linden
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Claire Wolfs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Maud Hevink
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Carmen Dirksen
- Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rudolf Ponds
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Medical Psychology, Amsterdam University Medical Center, VU, Amsterdam, The Netherlands
| | - Marieke Perry
- Department of Geriatric Medicine, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Primary and Community Care, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
6
|
Vermeulen RJ, Roudijk B, Govers TM, Rovers MM, Olde Rikkert MGM, Wijnen BFM. Prognostic Information on Progression to Dementia: Quantification of the Impact on Quality of Life. J Alzheimers Dis 2024; 97:1829-1840. [PMID: 38339932 PMCID: PMC10894563 DOI: 10.3233/jad-231037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2023] [Indexed: 02/12/2024]
Abstract
Background The increasing interest in early identification of people at risk of developing dementia, has led to the development of numerous models aimed at estimating the likelihood of progression from mild cognitive impairment (MCI) to dementia. It is important to study both the need for and possible outcomes related with such prediction models, including the impact of risk predictions on perceived quality of life (QoL). Objective This study aimed to quantify the impact that receiving a risk prediction on progression from MCI to dementia has on QoL. Methods A Discrete Choice Experiment (DCE) and Time Trade Off (TTO) study were performed. Participants completed choice tasks related to dementia prognosis while imagining having MCI. We collected DCE data by an online survey, and TTO data via videoconferencing interviews. DCE data were analyzed using a mixed multinomial logit model and were anchored to a health state utility scale using mean observed TTO valuations. Results 296 people participated in the DCE and 42 in the TTO. Moderate and high predicted dementia risks were associated with decrements in utility (-0.05 and -0.18 respectively), compared to no prognostic information. Low predicted risk was associated with an increase in utility (0.06), as well as the availability of medication or lifestyle interventions (0.05 and 0.13 respectively). Conclusions This study shows a significant impact of dementia risk predictions on QoL and highlights the importance of caution when sharing information about expected MCI disease courses.
Collapse
Affiliation(s)
- Robin Jeanna Vermeulen
- Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Bram Roudijk
- EuroQol Research Foundation, Rotterdam, The Netherlands
| | - Tim Martin Govers
- Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Maroeska Mariet Rovers
- Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, The Netherlands
| | | | | |
Collapse
|
7
|
Hazan J, Liu KY, Fox NC, Howard R. Online clinical tools to support the use of new plasma biomarker diagnostic technology in the assessment of Alzheimer's disease: a narrative review. Brain Commun 2023; 5:fcad322. [PMID: 38090277 PMCID: PMC10715781 DOI: 10.1093/braincomms/fcad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/11/2023] [Accepted: 11/23/2023] [Indexed: 02/15/2024] Open
Abstract
Recent advances in new diagnostic technologies for Alzheimer's disease have improved the speed and precision of diagnosis. However, accessing the potential benefits of this technology poses challenges for clinicians, such as deciding whether it is clinically appropriate to order a diagnostic test, which specific test or tests to order and how to interpret test results and communicate these to the patient and their caregiver. Tools to support decision-making could provide additional structure and information to the clinical assessment process. These tools could be accessed online, and such 'e-tools' can provide an interactive interface to support patients and clinicians in the use of new diagnostic technologies for Alzheimer's disease. We performed a narrative review of the literature to synthesize information available on this research topic. Relevant studies that provide an understanding of how these online tools could be used to optimize the clinical utility of diagnostic technology were identified. Based on these, we discuss the ways in which e-tools have been used to assist in the diagnosis of Alzheimer's disease and propose recommendations for future research to aid further development.
Collapse
Affiliation(s)
- Jemma Hazan
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, W1T 7NF, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London W1T 7BN, UK
| |
Collapse
|
8
|
Hendriksen HMA, van Gils AM, van Harten AC, Hartmann T, Mangialasche F, Kamondi A, Kivipelto M, Rhodius-Meester HFM, Smets EMA, van der Flier WM, Visser LNC. Communication about diagnosis, prognosis, and prevention in the memory clinic: perspectives of European memory clinic professionals. Alzheimers Res Ther 2023; 15:131. [PMID: 37543608 PMCID: PMC10404377 DOI: 10.1186/s13195-023-01276-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/19/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND The paradigm shift towards earlier Alzheimer's disease (AD) stages and personalized medicine creates new challenges for clinician-patient communication. We conducted a survey among European memory clinic professionals to identify opinions on communication about (etiological) diagnosis, prognosis, and prevention, and inventory needs for augmenting communication skills. METHODS Memory clinic professionals (N = 160) from 21 European countries completed our online survey (59% female, 14 ± 10 years' experience, 73% working in an academic hospital). We inventoried (1) opinions on communication about (etiological) diagnosis, prognosis, and prevention using 11 statements; (2) current communication practices in response to five hypothetical cases (AD dementia, mild cognitive impairment (MCI), subjective cognitive decline (SCD), with ( +) or without ( -) abnormal AD biomarkers); and (3) needs for communication support regarding ten listed communication skills. RESULTS The majority of professionals agreed that communication on diagnosis, prognosis, and prevention should be personalized to the individual patient. In response to the hypothetical patient cases, disease stage influenced the inclination to communicate an etiological AD diagnosis: 97% would explicitly mention the presence of AD to the patient with AD dementia, 68% would do so in MCI + , and 29% in SCD + . Furthermore, 58% would explicitly rule out AD in case of MCI - when talking to patients, and 69% in case of SCD - . Almost all professionals (79-99%) indicated discussing prognosis and prevention with all patients, of which a substantial part (48-86%) would personalize their communication to patients' diagnostic test results (39-68%) or patients' anamnestic information (33-82%). The majority of clinicians (79%) would like to use online tools, training, or both to support them in communicating with patients. Topics for which professionals desired support most were: stimulating patients' understanding of information, and communicating uncertainty, dementia risk, remotely/online, and with patients not (fluently) speaking the language of the country of residence. CONCLUSIONS In a survey of European memory clinic professionals, we found a strong positive attitude towards communication with patients about (etiological) diagnosis, prognosis, and prevention, and personalization of communication to characteristics and needs of individual patients. In addition, professionals expressed a need for supporting tools and skills training to further improve their communication with patients.
Collapse
Affiliation(s)
- Heleen M A Hendriksen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
| | - Aniek M van Gils
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Tobias Hartmann
- Experimental Neurology, Saarland University, 66424, Homburg, Germany
- Deutsches Institut Für DemenzPrävention, Saarland University, 66424, Homburg, Germany
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Medical Unit Aging, Theme Inflammation and Aging, Stockholm, Sweden
| | - Anita Kamondi
- Department of Neurology, Neurology and Neurosurgery, National Institute of Mental Health, Budapest, Hungary
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Karolinska University Hospital, Medical Unit Aging, Theme Inflammation and Aging, Stockholm, Sweden
- Ageing and Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Helsinki, Finland
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway
- Internal Medicine, Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Medical Psychology, Amsterdam UMC Location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Personalized Medicine, , Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Psychology, Amsterdam UMC Location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Personalized Medicine, , Amsterdam, The Netherlands
| |
Collapse
|
9
|
Visser LNC, Fruijtier A, Kunneman M, Bouwman FH, Schoonenboom N, Staekenborg SS, Wind HA, Hempenius L, de Beer MH, Roks G, Boelaarts L, Kleijer M, Smets EMA, van der Flier WM. Motivations of patients and their care partners for visiting a memory clinic. A qualitative study. PATIENT EDUCATION AND COUNSELING 2023; 111:107693. [PMID: 36913778 DOI: 10.1016/j.pec.2023.107693] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/30/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE We investigated motivations of patients and care partners for their memory clinic visit, and whether these are expressed in consultations. METHODS We included data from 115 patients (age 71 ± 11, 49% Female) and their care partners (N = 93), who completed questionnaires after their first consultation with a clinician. Audio-recordings of these consultations were available from 105 patients. Motivations for visiting the clinic were content-coded as reported by patients in the questionnaire, and expressed by patients and care partners in consultations. RESULTS Most patients reported seeking a cause for symptoms (61%) or to confirm/exclude a (dementia) diagnosis (16%), yet 19% reported another motivation: (more) information, care access, or treatment/advice. In the first consultation, about half of patients (52%) and care partners (62%) did not express their motivation(s). When both expressed a motivation, these differed in about half of dyads. A quarter of patients (23%) expressed a different/complementary motivation in the consultation, then reported in the questionnaire. CONCLUSION Motivations for visiting a memory clinic can be specific and multifaceted, yet are often not addressed during consultations. PRACTICE IMPLICATIONS We should encourage clinicians, patients, and care partners to talk about motivations for visiting the memory clinic, as a starting point to personalize (diagnostic) care.
Collapse
Affiliation(s)
- Leonie N C Visser
- Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands; Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
| | - Agnetha Fruijtier
- Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Marleen Kunneman
- Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, USA; Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands
| | - Femke H Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | - Hilje A Wind
- Department of Clinical Geriatrics, Spaarne Gasthuis, Haarlem, the Netherlands
| | - Liesbeth Hempenius
- Geriatric Center, Medical Center Leeuwarden, Leeuwarden, the Netherlands
| | - Marlijn H de Beer
- Department of Neurology, Reinier de Graaf Gasthuis, Delft, the Netherlands
| | - Gerwin Roks
- Department of Neurology, ETZ Hospital, Tilburg, the Netherlands
| | | | - Mariska Kleijer
- Department of Neurology, LangeLand Ziekenhuis, Zoetermeer, the Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands; Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
10
|
Frisoni GB, Altomare D, Ribaldi F, Villain N, Brayne C, Mukadam N, Abramowicz M, Barkhof F, Berthier M, Bieler-Aeschlimann M, Blennow K, Brioschi Guevara A, Carrera E, Chételat G, Csajka C, Demonet JF, Dodich A, Garibotto V, Georges J, Hurst S, Jessen F, Kivipelto M, Llewellyn DJ, McWhirter L, Milne R, Minguillón C, Miniussi C, Molinuevo JL, Nilsson PM, Noyce A, Ranson JM, Grau-Rivera O, Schott JM, Solomon A, Stephen R, van der Flier W, van Duijn C, Vellas B, Visser LN, Cummings JL, Scheltens P, Ritchie C, Dubois B. Dementia prevention in memory clinics: recommendations from the European task force for brain health services. THE LANCET REGIONAL HEALTH. EUROPE 2023; 26:100576. [PMID: 36895446 PMCID: PMC9989648 DOI: 10.1016/j.lanepe.2022.100576] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/09/2022] [Accepted: 12/15/2022] [Indexed: 02/04/2023]
Abstract
Observational population studies indicate that prevention of dementia and cognitive decline is being accomplished, possibly as an unintended result of better vascular prevention and healthier lifestyles. Population aging in the coming decades requires deliberate efforts to further decrease its prevalence and societal burden. Increasing evidence supports the efficacy of preventive interventions on persons with intact cognition and high dementia risk. We report recommendations for the deployment of second-generation memory clinics (Brain Health Services) whose mission is evidence-based and ethical dementia prevention in at-risk individuals. The cornerstone interventions consist of (i) assessment of genetic and potentially modifiable risk factors including brain pathology, and risk stratification, (ii) risk communication with ad-hoc protocols, (iii) risk reduction with multi-domain interventions, and (iv) cognitive enhancement with cognitive and physical training. A roadmap is proposed for concept validation and ensuing clinical deployment.
Collapse
Affiliation(s)
- Giovanni B. Frisoni
- Memory Center, Department of Rehabilitation and Geriatrics, University Hospitals and University of Geneva Geneva, Switzerland
| | - Daniele Altomare
- Memory Center, Department of Rehabilitation and Geriatrics, University Hospitals and University of Geneva Geneva, Switzerland
| | - Federica Ribaldi
- Memory Center, Department of Rehabilitation and Geriatrics, University Hospitals and University of Geneva Geneva, Switzerland
| | - Nicolas Villain
- Institut de la Mémoire et de la Maladie d’Alzheimer, IM2A, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne Université, Paris, France
- Institut du Cerveau et de la Moelle Épinière, UMR-S975, INSERM, Paris, France
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK
| | - Marc Abramowicz
- Genetic Medicine, Diagnostics Dept, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Frederik Barkhof
- Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
- Queen Square Institute of Neurology, University College London, London, UK
| | - Marcelo Berthier
- Unit of Cognitive Neurology and Aphasia, Centro de Investigaciones Médico-Sanitarias (CIMES), University of Malaga, Malaga, Spain
| | - Melanie Bieler-Aeschlimann
- Leenaards Memory Centre, Department of Clinical Neurosciences, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
- Infections Disease Service, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Andrea Brioschi Guevara
- Leenaards Memory Centre, Department of Clinical Neurosciences, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Emmanuel Carrera
- Stroke Center, Department of Clinical Neurosciences, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Gaël Chételat
- Normandie University, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, Cyceron, Caen, France
| | - Chantal Csajka
- Center of Research and Innovation in Clinical Pharmaceutical Sciences, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jean-François Demonet
- Leenaards Memory Centre, Department of Clinical Neurosciences, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
- French Clinical Research Infrastructure Network, INSERM, University Hospital of Toulouse, France
| | - Alessandra Dodich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, University Hospitals of Geneva and NIMTLab, University of Geneva, Geneva, Switzerland
| | | | - Samia Hurst
- Institute for Ethics, History, and the Humanities, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Frank Jessen
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany
- Excellence Cluster Cellular Stress Responses in Aging-Related Diseases (CECAD), Medical Faculty, University of Cologne, Germany
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Theme Aging, Karolinska University Hospital, Stockholm, Sweden
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - David J. Llewellyn
- College of Medicine and Health, University of Exeter, UK
- Alan Turing Institute, Exeter, UK
| | - Laura McWhirter
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, UK
| | - Richard Milne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
- Engagement and Society, Wellcome Connecting Science, Hinxton, UK
| | - Carolina Minguillón
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Carlo Miniussi
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
- Centre for Medical Sciences (CISMed), University of Trento, Rovereto, Italy
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- H. Lundbeck A/S, Denmark
| | - Peter M. Nilsson
- Department of Clinical Science, Lund University, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Alastair Noyce
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Jonathan M. Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Alina Solomon
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Ruth Stephen
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bruno Vellas
- Gerontopole and Alzheimer's Disease Research and Clinical Center, Toulouse University Hospital, Toulouse, France
| | - Leonie N.C. Visser
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jeffrey L. Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV, USA
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
- EQT Life Sciences, Amsterdam, the Netherlands
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer, IM2A, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne Université, Paris, France
- Institut du Cerveau et de la Moelle Épinière, UMR-S975, INSERM, Paris, France
| |
Collapse
|
11
|
Fruijtier AD, van der Schaar J, van Maurik IS, Zwan MD, Scheltens P, Bouwman F, Pijnenburg YAL, van Berckel BNM, Ebenau J, van der Flier WM, Smets EMA, Visser LNC. Identifying best practices for disclosure of amyloid imaging results: A randomized controlled trial. Alzheimers Dement 2023; 19:285-295. [PMID: 35366050 PMCID: PMC10084251 DOI: 10.1002/alz.12630] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 12/22/2021] [Accepted: 01/25/2022] [Indexed: 01/24/2023]
Abstract
INTRODUCTION Empirical studies on effective communication for amyloid disclosure in mild cognitive impairment (MCI) are lacking. We aimed to study the impact of six communication strategies. METHOD We performed a randomized controlled trial with seven randomly assigned, video-vignette conditions: six emphasizing a communication strategy and one basic condition. All showed a scripted consultation of a neurologist disclosing positive amyloid positron emission tomography (PET) scan results to an MCI patient. Healthy individuals (N = 1017; mean age ± SD 64 ± 8, 808 (79%) female) were instructed to imagine themselves in the video, answered questionnaires assessing information recall, emotional state, and behavioral intentions, and evaluate the physician/information. RESULTS "Risk best practice" resulted in highest free recall compared to other strategies (P < .05), except "emotional support". Recall in "emotional support" was better compared to "basic-' and elaborate information"(P < .05). "Risk best practice" resulted in the highest uncertainty (P < .001). "Teach-back" and "emotional support" contributed to the highest evaluations (P -values < .01). CONCLUSION Risk communication best practices, attending to emotions, and teach-back techniques enhance information recall of amyloid-PET results, and could contribute to positive care evaluations.
Collapse
Affiliation(s)
- Agnetha D Fruijtier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Medical Psychology, Academic Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jarith Ebenau
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Academic Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Solna, Sweden
| |
Collapse
|
12
|
Boccardi M, Handels R, Gold M, Grazia A, Lutz MW, Martin M, Nosheny R, Robillard JM, Weidner W, Alexandersson J, Thyrian JR, Winblad B, Barbarino P, Khachaturian AS, Teipel S. Clinical research in dementia: A perspective on implementing innovation. Alzheimers Dement 2022; 18:2352-2367. [PMID: 35325508 DOI: 10.1002/alz.12622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/13/2022] [Accepted: 01/21/2022] [Indexed: 01/31/2023]
Abstract
The increasing global prevalence of dementia demands concrete actions that are aimed strategically at optimizing processes that drive clinical innovation. The first step in this direction requires outlining hurdles in the transition from research to practice. The different parties needed to support translational processes have communication mismatches; methodological gaps hamper evidence-based decision-making; and data are insufficient to provide reliable estimates of long-term health benefits and costs in decisional models. Pilot projects are tackling some of these gaps, but appropriate methods often still need to be devised or adapted to the dementia field. A consistent implementation perspective along the whole translational continuum, explicitly defined and shared among the relevant stakeholders, should overcome the "research-versus-adoption" dichotomy, and tackle the implementation cliff early on. Concrete next steps may consist of providing tools that support the effective participation of heterogeneous stakeholders and agreeing on a definition of clinical significance that facilitates the selection of proper outcome measures.
Collapse
Affiliation(s)
- Marina Boccardi
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald Standort, Rostock, Germany
| | - Ron Handels
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.,Division of Neurogeriatrics, Dept for Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | | | - Alice Grazia
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald Standort, Rostock, Germany.,Department of Psychosomatic Medicine, Rostock Universitätsmedizin, Rostock, Germany
| | - Michael W Lutz
- Department of Neurology Duke University School of Medicine, Durham, North Carolina, USA
| | - Mike Martin
- Gerontology Center, University of Zurich, Zürich, Switzerland
| | - Rachel Nosheny
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA.,San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Julie M Robillard
- The University of British Columbia; BC Children's & Women's Hospitals, Vancouver, Canada
| | | | | | - Jochen René Thyrian
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald Standort, Greifswald, Germany.,Institute for Community Medicine, Section Epidemiology of Healthcare, University Medicine of Greifswald, Greifswald, Germany
| | - Bengt Winblad
- Division of Neurogeriatrics, Dept for Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden
| | | | - Ara S Khachaturian
- Alzheimer's & Dementia: The Journal of the Alzheimer's Association, Rockville, Maryland, USA.,Campaign to Prevent Alzheimer's Disease, Rockville, Maryland, USA
| | - Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald Standort, Rostock, Germany.,Department of Psychosomatic Medicine, Rostock Universitätsmedizin, Rostock, Germany
| |
Collapse
|
13
|
Henderson JT, Martin A, Patnode CD, Henrikson NB. A synthesis of qualitative studies on patient and caregiver experiences with cognitive impairment screening and diagnosis. Aging Ment Health 2022:1-12. [PMID: 36193565 DOI: 10.1080/13607863.2022.2126431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVES To understand patient and caregiver perspectives on the experience of being screened or diagnosed with cognitive impairment to inform preventive clinical care. METHODS Systematic review and synthesis of qualitative studies with searches in Ovid MEDLINE ALL, EBSCOHost CINAHL, and Scopus in February 2021. Included studies were assessed for quality and coded with descriptive, deductive, and inductive codes and findings were rated using GRADE-CER-qual. RESULTS We included 15 qualitative studies representing 153 patients and 179 caregivers. Most studies involved in-depth interviews. No studies examined screening experiences for older adults presenting without cognitive function concerns; nearly all patients received a diagnosis of cognitive impairment. Seven themes emerged with moderate to high confidence. Findings showed the role of caregivers in pursuing assessment and its benefits in validating concerns and for future planning. Patients were less inclined to be evaluated, fearing judgements or social consequences from the diagnostic label. Caregivers and patients were at times frustrated with the assessment process yet believed it might result in treatments to cure or slow disease progression. CONCLUSION Clinicians and care systems can support caregivers and patients by providing timely and informative resources to support their shared and separate motivations, needs, and concerns.
Collapse
Affiliation(s)
- Jillian T Henderson
- Kaiser Permanente Research Affiliates Evidence-Based Practice Center, Portland, Oregon, USA
| | - Allea Martin
- Kaiser Permanente Research Affiliates Evidence-Based Practice Center, Portland, Oregon, USA
| | - Carrie D Patnode
- Kaiser Permanente Research Affiliates Evidence-Based Practice Center, Portland, Oregon, USA
| | - Nora B Henrikson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| |
Collapse
|
14
|
van Gils AM, Visser LNC, Hendriksen HMA, Georges J, van der Flier WM, Rhodius‐Meester HFM. Development and design of a diagnostic report to support communication in dementia: Co-creation with patients and care partners. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12333. [PMID: 36092691 PMCID: PMC9446898 DOI: 10.1002/dad2.12333] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 11/11/2022]
Abstract
Introduction Clear communication of diagnostic test results and dementia diagnosis is challenging yet important to empower patients and care partners. A personalized diagnostic report could support the communication of dementia diagnostics and aid patients' understanding of diagnosis. In this study, we aimed to design a diagnostic report in co-creation with patients and care partners. Methods We used a mixed-methods approach, combining surveys with focus groups in iteration. Phase 1 consisted of an international survey assessing needs among patients (n = 50) and care partners (n = 46), and phase 2 consisted of focus group meetings (n = 3) to co-create the content and to hands-on co-design the layout of the diagnostic report with patients (n = 7) and care partners (n = 7). Phase 3 validated results from phase 2 in a survey among patients (n = 28) and care partners (n = 12), and phase 4 comprised final feedback by dementia (care) experts (n = 5). Descriptive statistics were used to report quantitative results and directed content analysis was used to analyze qualitative data. Results Most patients (39/50, 78%) and care partners (38/46, 83%) positively valued a diagnostic report to summarize test results. The report should be brief, straightforward, and comprise results of the diagnostic tests, including brain imaging and information on future expectations. Despite a clear preference for visual display of test results, several visualization options were deemed best and were equally comprehended. Discussion In this study, we developed a prototype of a personalized patient report through an iterative design process and learned that co-creation is highly valuable to meet the specific needs of end-users.
Collapse
Affiliation(s)
- Aniek M. van Gils
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Leonie N. C. Visser
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
- Department of NeurobiologyCare Sciences and SocietyDivision of Clinical GeriatricsCenter for Alzheimer Research, Karolinska InstitutetStockholmSweden
- Department of Medical PsychologyAmsterdam Public Health Research InstituteAmsterdam UMClocation AMCAmsterdamThe Netherlands
| | - Heleen M. A. Hendriksen
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | | | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam NeuroscienceVU University Medical CenterAmsterdam UMCAmsterdamThe Netherlands
| | - Hanneke F. M. Rhodius‐Meester
- Alzheimer Center AmsterdamNeurologyVrije Universiteit Amsterdam, Amsterdam UMC location VUmcAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
- Department of Internal MedicineGeriatric Medicine SectionAmsterdam Cardiovascular Sciences InstituteAmsterdam UMClocation VUmcAmsterdamThe Netherlands
| |
Collapse
|
15
|
Hampel H, Au R, Mattke S, van der Flier WM, Aisen P, Apostolova L, Chen C, Cho M, De Santi S, Gao P, Iwata A, Kurzman R, Saykin AJ, Teipel S, Vellas B, Vergallo A, Wang H, Cummings J. Designing the next-generation clinical care pathway for Alzheimer's disease. NATURE AGING 2022; 2:692-703. [PMID: 37118137 PMCID: PMC10148953 DOI: 10.1038/s43587-022-00269-x] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/07/2022] [Indexed: 04/30/2023]
Abstract
The reconceptualization of Alzheimer's disease (AD) as a clinical and biological construct has facilitated the development of biomarker-guided, pathway-based targeted therapies, many of which have reached late-stage development with the near-term potential to enter global clinical practice. These medical advances mark an unprecedented paradigm shift and requires an optimized global framework for clinical care pathways for AD. In this Perspective, we describe the blueprint for transitioning from the current, clinical symptom-focused and inherently late-stage diagnosis and management of AD to the next-generation pathway that incorporates biomarker-guided and digitally facilitated decision-making algorithms for risk stratification, early detection, timely diagnosis, and preventative or therapeutic interventions. We address critical and high-priority challenges, propose evidence-based strategic solutions, and emphasize that the perspectives of affected individuals and care partners need to be considered and integrated.
Collapse
Affiliation(s)
| | - Rhoda Au
- Depts of Anatomy & Neurobiology, Neurology and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Soeren Mattke
- Center for Improving Chronic Illness Care, University of Southern California, San Diego, San Diego, CA, USA
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Depts of Neurology and Epidemiology and Data Science, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Paul Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, San Diego, CA, USA
| | - Liana Apostolova
- Departments of Neurology, Radiology, Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Min Cho
- Neurology Business Group, Eisai, Nutley, NJ, USA
| | | | - Peng Gao
- Neurology Business Group, Eisai, Nutley, NJ, USA
| | | | | | - Andrew J Saykin
- Indiana Alzheimer's Disease Research Center and the Departments of Radiology and Imaging Sciences, Medical and Molecular Genetics, and Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, University Medical Center Rostock, Rostock, Germany
| | - Bruno Vellas
- University Paul Sabatier, Gerontopole, Toulouse University Hospital, UMR INSERM 1285, Toulouse, France
| | | | - Huali Wang
- Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), National Clinical Research Center for Mental Disorders, Beijing, China
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas (UNLV), Las Vegas, NV, USA
| |
Collapse
|
16
|
Linden I, Hevink M, Wolfs C, Perry M, Dirksen C, Ponds R. Understanding patients' and significant others' preferences on starting a diagnostic trajectory for dementia: An integrative review. Aging Ment Health 2022; 27:862-875. [PMID: 35763442 PMCID: PMC10166060 DOI: 10.1080/13607863.2022.2084505] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE To explore the preferences of people with memory complaints (PwMC) and their significant others regarding starting a diagnostic trajectory for dementia. METHODS A systematic literature search was conducted in PubMed, PsycINFO, CINAHL, Web of Science, and Embase. Selection of abstracts and papers was performed independently by two researchers. Methodological quality was assessed with the Mixed Method Appraisal Tool. Result sections of the selected papers were thematically synthesized. RESULTS From 2497 citations, seven qualitative studies and two mixed methods studies published between 2010 and 2020 were included. Overall quality of the studies was high to moderate. A thematic synthesis showed that preferences for starting a diagnostic trajectory arose from the feeling of needing to do something about the symptoms, beliefs on the necessity and expected outcomes of starting a diagnostic trajectory. These views were influenced by normalization or validation of symptoms, the support or wishes of the social network, interactions with health care professionals, the health status of the PwMC, and societal factors such as stigma and socioeconomic status. CONCLUSION A variety of considerations with regard to decision-making on starting a diagnostic trajectory for dementia were identified. This emphasizes the need to explore individual preferences to facilitate a timely dementia diagnosis.
Collapse
Affiliation(s)
- Iris Linden
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Maud Hevink
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Claire Wolfs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Marieke Perry
- Department of Geriatric Medicine, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Primary and Community care, Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carmen Dirksen
- Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rudolf Ponds
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands.,Department of Medical Psychology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
17
|
Gray TF, Allgood SJ, Nolan MT, Gallo JJ, Han HR, Clayman ML, Budhathoki C, Lansey DG, Wenzel J. "It All Depends": Patient and Decision Partner Experiences in Cancer Clinical Trial Decision-Making. QUALITATIVE HEALTH RESEARCH 2022; 32:887-901. [PMID: 35343318 DOI: 10.1177/10497323221083355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
While the supporting role of families and friends has been widely recognized in cancer care, little data exist on how they influence patients' decisions regarding clinical trial participation, accounting for patients' decisional preferences. The goal of our study was to examine the process of clinical trial decision-making from the perspective of adults with cancer and their decision partners. Semi-structured interviews were conducted with 12 patients and 12 decision partners-family and friends engaged in the medical decision-making. Themes included: (1) having the ability and confidence to make decisions; (2) gaining insight about clinical trials; (3) trusting someone in the process; and (4) realizing readiness and context. Our findings will enhance understanding of how patients make clinical trial decisions based on decisional preferences from the perspectives of patients and decision partners. The findings may also help to increase clinician awareness and inclusion of decision partners in conversations regarding clinical trials.
Collapse
Affiliation(s)
- Tamryn F Gray
- 1855Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Marie T Nolan
- 15851Johns Hopkins School of Nursing, Baltimore, MD, USA
| | - Joseph J Gallo
- 15851Johns Hopkins School of Nursing, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hae-Ra Han
- 15851Johns Hopkins School of Nursing, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Marla L Clayman
- 560937Center for Healthcare Organization and Implementation Research (CHOIR), VA Health Services Research and Development Service, Bedford, MA, USA
| | | | - Dina G Lansey
- Department of Oncology, 1500Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jennifer Wenzel
- 15851Johns Hopkins School of Nursing, Baltimore, MD, USA
- Department of Oncology, 1500Johns Hopkins School of Medicine, Baltimore, MD, USA
| |
Collapse
|
18
|
Shafir A, Ritchie CS, Garrett SB, Sideman AB, Naasan G, Merrilees J, Widera E, Flint L, Harrison KL. "Captive by the Uncertainty"-Experiences with Anticipatory Guidance for People Living with Dementia and Their Caregivers at a Specialty Dementia Clinic. J Alzheimers Dis 2022; 86:787-800. [PMID: 35124641 PMCID: PMC9717709 DOI: 10.3233/jad-215203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND After a diagnosis of Alzheimer's disease and related disorders, people living with dementia (PWD) and caregivers wonder what disease trajectory to expect and how to plan for functional and cognitive decline. This qualitative study aimed to identify patient and caregiver experiences receiving anticipatory guidance about dementia from a specialty dementia clinic. OBJECTIVE To examine PWD and caregiver perspectives on receiving anticipatory guidance from a specialty dementia clinic. METHODS We conducted semi-structured interviews with PWD, and active and bereaved family caregivers, recruited from a specialty dementia clinic. Interviews were recorded, transcribed, and systematically summarized. Thematic analysis identified anticipatory guidance received from clinical or non-clinical sources and areas where respondents wanted additional guidance. RESULTS Of 40 participants, 9 were PWD, 16 were active caregivers, and 15 were bereaved caregivers. PWD had a mean age of 75 and were primarily male (n = 6/9); caregivers had a mean age of 67 and were primarily female (n = 21/31). Participants felt they received incomplete or "hesitant" guidance on prognosis and expected disease course via their clinicians and filled the gap with information they found via the internet, books, and support groups. They appreciated guidance on behavioral, safety, and communication issues from clinicians, but found more timely and advance guidance from other non-clinical sources. Guidance on legal and financial planning was primarily identified through non-clinical sources. CONCLUSION PWD and caregivers want more information about expected disease course, prognosis, and help planning after diagnosis. Clinicians have an opportunity to improve anticipatory guidance communication and subsequent care provision.
Collapse
Affiliation(s)
- Adi Shafir
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Department of Veterans Affairs Medical Center, San Francisco
- Division of General Internal Medicine and Geriatrics, Oregon Health and Sciences University, Portland, OR
| | - Christine S. Ritchie
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Division of Palliative Care and Geriatric Medicine and the Mongan Institute Center for Aging and Serious Illness, Massachusetts General Hospital and Harvard Medical School, Boston
- Global Brain Health Institute, University of California, San Francisco
| | - Sarah B. Garrett
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
| | - Alissa Bernstein Sideman
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
- UCSF Department of Humanities & Social Sciences
- Global Brain Health Institute, University of California, San Francisco
| | - Georges Naasan
- The Barbara and Maurice Deane Center for Wellness and Cognitive Health, Department of Neurology, Mount Sinai, Icahn School of Medicine, NY
- Global Brain Health Institute, University of California, San Francisco
| | | | - Eric Widera
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Department of Veterans Affairs Medical Center, San Francisco
| | - Lynn Flint
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Department of Veterans Affairs Medical Center, San Francisco
| | - Krista L. Harrison
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
- Global Brain Health Institute, University of California, San Francisco
| |
Collapse
|
19
|
van Gils AM, Visser LN, Hendriksen HM, Georges J, Muller M, Bouwman FH, van der Flier WM, Rhodius-Meester HF. Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study. JMIR Form Res 2021; 5:e31053. [PMID: 34870612 PMCID: PMC8686488 DOI: 10.2196/31053] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/07/2021] [Accepted: 09/18/2021] [Indexed: 12/20/2022] Open
Abstract
Background Computer tools based on artificial intelligence could aid clinicians in memory clinics in several ways, such as by supporting diagnostic decision-making, web-based cognitive testing, and the communication of diagnosis and prognosis. Objective This study aims to identify the preferences as well as the main barriers and facilitators related to using computer tools in memory clinics for all end users, that is, clinicians, patients, and care partners. Methods Between July and October 2020, we sent out invitations to a web-based survey to clinicians using the European Alzheimer’s Disease Centers network and the Dutch Memory Clinic network, and 109 clinicians participated (mean age 45 years, SD 10; 53/109, 48.6% female). A second survey was created for patients and care partners. They were invited via Alzheimer Europe, Alzheimer’s Society United Kingdom, Amsterdam Dementia Cohort, and Amsterdam Aging Cohort. A total of 50 patients with subjective cognitive decline, mild cognitive impairment, or dementia (mean age 73 years, SD 8; 17/34, 34% female) and 46 care partners (mean age 65 years, SD 12; 25/54, 54% female) participated in this survey. Results Most clinicians reported a willingness to use diagnostic (88/109, 80.7%) and prognostic (83/109, 76.1%) computer tools. User-friendliness (71/109, 65.1%); Likert scale mean 4.5, SD 0.7), and increasing diagnostic accuracy (76/109, 69.7%; mean 4.3, SD 0.7) were reported as the main factors stimulating the adoption of a tool. Tools should also save time and provide clear information on reliability and validity. Inadequate integration with electronic patient records (46/109, 42.2%; mean 3.8, SD 1.0) and fear of losing important clinical information (48/109, 44%; mean 3.7, SD 1.2) were most frequently indicated as barriers. Patients and care partners were equally positive about the use of computer tools by clinicians, both for diagnosis (69/96, 72%) and prognosis (73/96, 76%). In addition, most of them thought favorably regarding the possibility of using the tools themselves. Conclusions This study showed that computer tools in memory clinics are positively valued by most end users. For further development and implementation, it is essential to overcome the technical and practical barriers of a tool while paying utmost attention to its reliability and validity.
Collapse
Affiliation(s)
- Aniek M van Gils
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Leonie Nc Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands.,Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Heleen Ma Hendriksen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | | | - Majon Muller
- Department of Internal Medicine, Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Femke H Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands.,Department of Epidemiology and Data Science, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Hanneke Fm Rhodius-Meester
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands.,Department of Internal Medicine, Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| |
Collapse
|
20
|
Visser LNC, Minguillon C, Sánchez-Benavides G, Abramowicz M, Altomare D, Fauria K, Frisoni GB, Georges J, Ribaldi F, Scheltens P, van der Schaar J, Zwan M, van der Flier WM, Molinuevo JL. Dementia risk communication. A user manual for Brain Health Services-part 3 of 6. Alzheimers Res Ther 2021; 13:170. [PMID: 34635169 PMCID: PMC8507171 DOI: 10.1186/s13195-021-00840-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/03/2021] [Indexed: 11/17/2022]
Abstract
Growing evidence suggests dementia incidence can be reduced through prevention programs targeting risk factors. To accelerate the implementation of such prevention programs, a new generation of brain health services (BHS) is envisioned, involving risk profiling, risk communication, risk reduction, and cognitive enhancement. The purpose of risk communication is to enable individuals at risk to make informed decisions and take action to protect themselves and is thus a crucial step in tailored prevention strategies of the dementia incidence. However, communicating about dementia risk is complex and challenging.In this paper, we provide an overview of (i) perspectives on communicating dementia risk from an ethical, clinical, and societal viewpoint; (ii) insights gained from memory clinical practice; (iii) available evidence on the impact of disclosing APOE and Alzheimer's disease biomarker test results gathered from clinical trials and observational studies; (iv) the value of established registries in light of BHS; and (v) practical recommendations regarding effective strategies for communicating about dementia risk.In addition, we identify challenges, i.e., the current lack of evidence on what to tell on an individual level-the actual risk-and on how to optimally communicate about dementia risk, especially concerning worried yet cognitively unimpaired individuals. Ideally, dementia risk communication strategies should maximize the desired impact of risk information on individuals' understanding of their health/disease status and risk perception and minimize potential harms. More research is thus warranted on the impact of dementia risk communication, to (1) evaluate the merits of different approaches to risk communication on outcomes in the cognitive, affective and behavioral domains, (2) develop an evidence-based, harmonized dementia risk communication protocol, and (3) develop e-tools to support and promote adherence to this protocol in BHSs.Based on the research reviewed, we recommend that dementia risk communication should be precise; include the use of absolute risks, visual displays, and time frames; based on a process of shared decision-making; and address the inherent uncertainty that comes with any probability.
Collapse
Affiliation(s)
- Leonie N C Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Marc Abramowicz
- Division of Genetic Medicine, Department of Diagnostics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | | | - Federica Ribaldi
- Division of Genetic Medicine, Department of Diagnostics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), Saint John of God Clinical Research Centre, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marissa Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| |
Collapse
|
21
|
Visser LN, Dubbelman MA, Verrijp M, Wanders L, Pelt S, Zwan MD, Thijssen DH, Wouters H, Sikkes SA, van Hout HP, van der Flier WM. The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12234. [PMID: 34541288 PMCID: PMC8438682 DOI: 10.1002/dad2.12234] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 07/01/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Heightened public awareness about Alzheimer's disease and dementia increases the need for at-home cognitive self-testing. We offered Cognitive Online Self-Test Amsterdam (COST-A) to independent groups of cognitively normal adults and investigated the robustness of a norm-score formula and cutoff. METHODS Three thousand eighty-eight participants (mean age ± standard deviation = 61 ± 12 years, 70% female) completed COST-A and evaluated it. Demographically adjusted norm scores were the difference between expected COST-A scores, based on age, gender, and education, and actual scores. We applied the resulting norm-score formula to two independent cohorts. RESULTS Participants evaluated COST-A to be of adequate difficulty and duration. Our norm-score formula was shown to be robust: ≈8% of participants in two cognitively normal cohorts had abnormal scores. A cutoff of -1.5 standard deviations proved optimal for distinguishing normal from impaired cognition. CONCLUSION With robust norm scores, COST-A is a promising new tool for research and clinical practice, providing low cost and minimally invasive remote assessment of cognitive functioning.
Collapse
Affiliation(s)
- Leonie N.C. Visser
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Mark A. Dubbelman
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Merike Verrijp
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Lisa Wanders
- Radboud Institute for Health SciencesDepartment of PhysiologyRadboud University Medical CenterNijmegenThe Netherlands
- Top Institute Food and NutritionWageningenThe Netherlands
| | - Sophie Pelt
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Marissa D. Zwan
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Dick H.J. Thijssen
- Radboud Institute for Health SciencesDepartment of PhysiologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Hans Wouters
- General Practitioners Research InstituteGroningenThe Netherlands
| | - Sietske A.M. Sikkes
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Faculty of Behavioural and Movement SciencesClinical Developmental Psychology & Clinical NeuropsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hein P.J. van Hout
- Department of General Practice and Medicine for Older PersonsAmsterdam Institute for Public Health Care ResearchVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam UMCAmsterdamThe Netherlands
| |
Collapse
|
22
|
Kim E, Baskys A, Law AV, Roosan MR, Li Y, Roosan D. Scoping review: the empowerment of Alzheimer's Disease caregivers with mHealth applications. NPJ Digit Med 2021; 4:131. [PMID: 34493819 PMCID: PMC8423781 DOI: 10.1038/s41746-021-00506-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/03/2021] [Indexed: 11/09/2022] Open
Abstract
Alzheimer's Disease (AD) is one of the most prevalent neurodegenerative chronic diseases. As it progresses, patients become increasingly dependent, and their caregivers are burdened with the increasing demand for managing their care. Mobile health (mHealth) technology, such as smartphone applications, can support the need of these caregivers. This paper examines the published academic literature of mHealth applications that support the caregivers of AD patients. Following the PRISMA for scoping reviews, we searched published literature in five electronic databases between January 2014 and January 2021. Twelve articles were included in the final review. Six themes emerged based on the functionalities provided by the reviewed applications for caregivers. They are tracking, task management, monitoring, caregiver mental support, education, and caregiver communication platform. The review revealed that mHealth applications for AD patients' caregivers are inadequate. There is an opportunity for industry, government, and academia to fill the unmet need of these caregiver.
Collapse
Affiliation(s)
- Eunhee Kim
- Western University of Health Sciences, College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA, USA
| | - Andrius Baskys
- Western University of Health Sciences, College of Graduate Biomedical Sciences, Pomona, CA, USA
| | - Anandi V Law
- Western University of Health Sciences, College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA, USA
| | - Moom R Roosan
- Chapman University, School of Pharmacy, Department of Pharmacy Practice, Pomona, CA, USA
| | - Yan Li
- Claremont Graduate University, School of Information Systems & Technology, Pomona, CA, USA
| | - Don Roosan
- Western University of Health Sciences, College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA, USA.
| |
Collapse
|
23
|
Linden I, Wolfs C, Perry M, Metsemakers J, van der Weijden T, de Vugt M, Verhey FR, Handels R, Olde Rikkert M, Dirksen C, Ponds RWHM. Implementation of a diagnostic decision aid for people with memory complaints and their general practitioners: a protocol of a before and after pilot trial. BMJ Open 2021; 11:e049322. [PMID: 34135053 PMCID: PMC8211080 DOI: 10.1136/bmjopen-2021-049322] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 05/28/2021] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Researchers, policy-makers and healthcare professionals often stress the importance of an early dementia diagnosis. Empirical evidence, however, is scarce leading to a lack of consensus on the necessity of diagnosing dementia early. We emphasise the need for a 'timely' diagnosis, that is, one that occurs at the right moment for a person with memory complaints and his/her significant other. As the optimal timing differs between individuals, the implementation of shared decision making (SDM), preferably by the general practitioner (GP), as the start of a diagnostic trajectory, could help to determine this timely moment. SDM, however, is rarely practised with respect to dementia diagnoses. Therefore, in the context of the Shared Decision-Making regarding Dementia Diagnosis project, a patient decision aid (PtDA) for 'timely' dementia diagnosis in general practice will be developed. This protocol will describe the planned before and after evaluation of its implementation. METHODS AND ANALYSIS In a mixed-methods pilot study, we will investigate decision-making processes and experiences regarding a diagnostic trajectory before and after the introduction of a PtDA for people with memory complaints, their significant others and their GPs. The 'before group' will receive diagnostics as usual from their GPs. The 'after group' will use the PtDA. We expect the PtDA to increase the level of SDM and to contribute to a timely and personalised diagnostic trajectory. Data will be collected using semistructured interviews, questionnaires and information retrieved from people with memory complaints' medical records. ETHICS AND DISSEMINATION This study protocol was approved by the Medical Review Ethics Committee of the Maastricht University Medical Centre. The findings will be published in peer-reviewed international journals and presented at conferences. This study was funded by the public funded Dutch Research Institute for Care and Medical Sciences (ZonMw). TRIAL REGISTRATION NUMBER NCT04531956.
Collapse
Affiliation(s)
- Iris Linden
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Claire Wolfs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Marieke Perry
- Department of Geriatric Medicine, Radboudumc Alzheimer Center, Radboudumc, Nijmegen, The Netherlands
| | - Job Metsemakers
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Trudy van der Weijden
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Marjolein de Vugt
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Frans R Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Ron Handels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Marcel Olde Rikkert
- Department of Geriatric Medicine, Radboudumc Alzheimer Center, Radboudumc, Nijmegen, The Netherlands
- Department of Geriatric Medicine, Donders Institute for Brain Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Carmen Dirksen
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Rudolf W H M Ponds
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
- Department of Medical Psychology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
24
|
Sanlaville C, Loiseau Médecin Généraliste A, Colin C, Salmon PK, Letrilliart L. [General practitioners' views on cognitive disorders diagnosis: a qualitative study]. SOINS. GÉRONTOLOGIE 2021; 26:35-42. [PMID: 34304810 DOI: 10.1016/j.sger.2021.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Diagnosis of cognitive disorders is at medical and ethical stake. The aim of an qualitative study based on interviews was to explore the views of general practitioners on this diagnosis. General practitioners are ambivalent about the relevance and temporality of the diagnosis of cognitive disorders, which could be resolved by a shared decision making at each stage of the diagnostic approach.
Collapse
Affiliation(s)
- Claire Sanlaville
- Collège universitaire de médecine générale, université Claude-Bernard Lyon 1, 69008 Lyon, France
| | | | - Cyrille Colin
- Université Claude-Bernard Lyon 1, 69622 Villeurbanne, France; Laboratoire Health services and performance research EA 7425, université Claude-Bernard Lyon 1, 69008 Lyon, France; Pôle Information médicale évaluation recherche, Hospices civils de Lyon, 3 quai des Célestins, 69002 Lyon, France
| | - Pierre-Krolak Salmon
- Centre mémoire, ressources, recherche de Lyon, Institut du vieillissement, Hospices civils de Lyon, Institut national de la santé et de la recherche médicale 1048, Centre national de la recherche scientifique 5292, 69008 Lyon, France; Action conjointe européenne "Act on dementia", université Claude-Bernard Lyon 1, 69008 Lyon, France
| | - Laurent Letrilliart
- Collège universitaire de médecine générale, université Claude-Bernard Lyon 1, 69008 Lyon, France; Laboratoire Health services and performance research EA 7425, université Claude-Bernard Lyon 1, 69008 Lyon, France; Collège universitaire de médecine générale, Université Claude-Bernard Lyon 1, 8 avenue Rockefeller, 69373 Lyon cedex 08, France.
| |
Collapse
|
25
|
Gruters AAA, Ramakers IHGB, Stiekema APM, Verhey FRJ, Kessels RPC, de Vugt ME. An Exploratory Study of the Development and Pilot Testing of an Interactive Visual Tool of Neuropsychological Test Results in Memory Clinics. J Alzheimers Dis 2021; 79:1157-1170. [PMID: 33386807 PMCID: PMC7990417 DOI: 10.3233/jad-201128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background: Neuropsychological feedback is an important part of the neuropsychological assessment process. However, patients have difficulties remembering this information. Objective: The aim of this study was to develop a web-based visual tool to improve the understanding of neuropsychological results, information retention, and psychologist-patient communication. Methods: The visual tool was developed and optimized using an iterative three-phase stepwise approach to determine its usability, technology acceptance, and feasibility in a memory clinic population. Feedback from different user perspectives (patients, family members, and psychologists) was obtained in each phase using a multimethod approach (e.g. a multidisciplinary brainstorm session, think-aloud sessions, focus groups). The prototype was subsequently tested in a pilot study. Results: The first phases offered insights that led to optimization of the prototype. On a scale ranging from 0 to 100, psychologists evaluated the usability as high [88.1±7.6,70–87]. During the pilot study, both patients and significant others gave positive feedback, but information retention in patients remained low. All participants thought the benefits of the visual tool included seeing cognitive strengths and weaknesses with a translation to daily life all at one glance and receiving feedback on paper to take home. Important barriers were mentioned by psychologists, such as a limited set of tests included and no integration with hospital systems. Conclusion: Overall, patients, family members, and psychologists reported that a visual display of the cognitive profile with insights into daily life had added value to clinical practice. Feedback from the pilot study was adopted in the tool for future implementation purposes.
Collapse
Affiliation(s)
- Angélique A A Gruters
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Inez H G B Ramakers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Annemarie P M Stiekema
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Limburg Brain Injury Center, Maastricht University, Maastricht, The Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Medical Psychology & Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marjolein E de Vugt
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
26
|
Fruijtier AD, Visser LN, Bouwman FH, Lutz R, Schoonenboom N, Kalisvaart K, Hempenius L, Roks G, Boelaarts L, Claus JJ, Kleijer M, de Beer M, van der Flier WM, Smets EM. What patients want to know, and what we actually tell them: The ABIDE project. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12113. [PMID: 33344753 PMCID: PMC7744024 DOI: 10.1002/trc2.12113] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/15/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND We studied to what degree and at whose initiative 25 informational topics, formerly identified as important, are discussed in diagnostic consultations. METHODS Audio recordings of clinician-patient consultations of 71 patients and 32 clinicians, collected in eight Dutch memory clinics, were independently content-coded by two coders. The coding scheme encompassed 25 informational topics. RESULTS Approximately half (Mdn = 12) of the 25 topics were discussed per patient during the diagnostic process, with a higher frequency among individuals receiving a dementia diagnosis (Mdn = 14) compared to others (Mdn = 11). Individual topics ranged from being discussed with 2/71 (3%) to 70/71 (99%) of patients. Patients and/or care partners rarely initiated topic discussion (10%). When they did, they often enquired about one of the least frequently addressed topics. CONCLUSION Most patients received information on approximately half of the important informational topics. Providing the topic list to patients and care partners beforehand could allow consultation preparation and stimulate participation.
Collapse
Affiliation(s)
- Agnetha D. Fruijtier
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Medical PsychologyAcademic Medical CenterAmsterdam UMCAmsterdam Public Health Research InstituteAmsterdamthe Netherlands
| | - Leonie N.C. Visser
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Medical PsychologyAcademic Medical CenterAmsterdam UMCAmsterdam Public Health Research InstituteAmsterdamthe Netherlands
| | - Femke H. Bouwman
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Rogier Lutz
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Niki Schoonenboom
- Department of Clinical GeriatricsSpaarne GasthuisHaarlemthe Netherlands
| | - Kees Kalisvaart
- Department of Clinical GeriatricsSpaarne GasthuisHaarlemthe Netherlands
| | | | - Gerwin Roks
- Department of NeurologyETZ HospitalTilburgthe Netherlands
| | - Leo Boelaarts
- Geriatric DepartmentNoordWest Ziekenhuis GroepAlkmaarthe Netherlands
| | - Jules J. Claus
- Department of NeurologyTergooi Hospital, Blaricumthe Netherlands
| | - Mariska Kleijer
- Department of NeurologyLangeLand ZiekenhuisZoetermeerthe Netherlands
| | - Marlijn de Beer
- Department of NeurologyReinier de Graaf GasthuisDelftthe Netherlands
| | - Wiesje M. van der Flier
- Department of NeurologyAlzheimer Center AmsterdamAmsterdam NeuroscienceAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam NeuroscienceVU University Medical CenterAmsterdamthe Netherlands
| | - Ellen M.A. Smets
- Department of Medical PsychologyAcademic Medical CenterAmsterdam UMCAmsterdam Public Health Research InstituteAmsterdamthe Netherlands
| |
Collapse
|
27
|
van der Kraaij GE, Vermeulen FM, Smeets PMG, Smets EMA, Spuls PI. The current extent of and need for shared decision making in atopic dermatitis and psoriasis in the Netherlands: an online survey study amongst patients and physicians. J Eur Acad Dermatol Venereol 2020; 34:2574-2583. [PMID: 32163645 PMCID: PMC7818257 DOI: 10.1111/jdv.16340] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 01/14/2020] [Indexed: 12/02/2022]
Abstract
Background In shared decision making (SDM), patients and physicians work together to choose the best treatment option for an individual patient. Atopic dermatitis (AD) and psoriasis are particularly suitable for SDM, considering that the best treatment option depends on a patient’s preferences and values (preference‐sensitive decisions). Currently, it is unknown to what extent SDM is applied in treatment decisions for these diseases in the Netherlands. Objectives Primary, to assess the current extent of SDM in AD and psoriasis in the Netherlands amongst patients and dermatologists. Secondary, to assess the degree to which patients and physicians endorse SDM, to explore which characteristics are related to their preference to be involved in SDM and to identify which barriers and facilitators for SDM they perceive. Methods Two similar online surveys, one for patients with AD or psoriasis and one for (resident) dermatologists, were carried out. The surveys comprised validated questionnaires (shared decision making questionnaire (SDM‐Q; range 0–100), Control Preference Scale) and study‐specific statements mainly regarding barriers and facilitators for SDM. Results The responses of 219 patients and 147 physicians were analysed. Dermatologists experienced significantly more SDM than patients (SDM‐Q 82 vs 55; P < 0.01). Most patients and dermatologists prefer to share treatment decisions. Mainly facilitators for SDM were perceived, including the positive perception of patients and dermatologists regarding SDM. The perceived barriers included lack of continuity of care by the same physician and lack of time. Conclusion Despite the dermatologists’ optimistic perspective, patients experience a limited extent of SDM and physicians should be aware of this gap. Improvement of SDM in AD and psoriasis is needed. The positive attitude of patients and dermatologists towards the process and outcome of SDM is important facilitators, while barriers were mainly perceived on an organizational level.
Collapse
Affiliation(s)
- G E van der Kraaij
- Department of Dermatology, Amsterdam Public Health, Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - F M Vermeulen
- Department of Dermatology, Amsterdam Public Health, Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - P M G Smeets
- Department of Dermatology, Amsterdam Public Health, Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - E M A Smets
- Department of Medical Psychology, Amsterdam Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - P I Spuls
- Department of Dermatology, Amsterdam Public Health, Infection and Immunity, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
28
|
Gruters AAA, Christie HL, Ramakers IHGB, Verhey FRJ, Kessels RPC, de Vugt ME. Neuropsychological assessment and diagnostic disclosure at a memory clinic: A qualitative study of the experiences of patients and their family members. Clin Neuropsychol 2020; 35:1398-1414. [PMID: 32301377 DOI: 10.1080/13854046.2020.1749936] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE The aim of this study was to gain insight into the experiences of patients and their family members regarding a neuropsychological assessment (NPA) and the diagnostic disclosure given by the medical specialist (psychiatrist, geriatrician, or their residents) at the memory clinic (MC). METHOD Patients with and without a cognitive impairment and their family members were recruited from three Dutch MCs. Four focus groups with 14 patients and 13 family members were analyzed using both inductive and deductive content analysis. RESULTS Three themes were identified: uncertainty, early diagnostic paradox, and knowledge utilization. High levels of uncertainty were experienced throughout the NPA and diagnostic disclosure. The early diagnostic paradox refers to the coexistence of negative emotions, feeling distressed due to undergoing an NPA that made them aware of their cognitive complaints, and the experience of relief due to insight given by the outcome of the NPA and medical diagnosis. Knowledge utilization refers to a low retention of medical information. CONCLUSION Clinicians can reduce uncertainty by using clear communication, limiting interruptions during an NPA, and paying attention to contextual factors. Low information retention could possibly be improved by involving a family member and using visual aids or written information during the diagnostic disclosure. Finally, participants also appreciated being provided with neuropsychological feedback on the strengths and weaknesses of their cognitive profiles and with guidance on how to manage this diagnosis in their daily lives.
Collapse
Affiliation(s)
- Angélique A A Gruters
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Hannah L Christie
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Inez H G B Ramakers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.,Department of Medical Psychology & Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marjolein E de Vugt
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| |
Collapse
|
29
|
Doekhie KD, Buljac-Samardzic M, Strating MMH, Paauwe J. Elderly patients' decision-making embedded in the social context: a mixed-method analysis of subjective norms and social support. BMC Geriatr 2020; 20:53. [PMID: 32050911 PMCID: PMC7017481 DOI: 10.1186/s12877-020-1458-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 02/03/2020] [Indexed: 02/07/2023] Open
Abstract
Background Older patients are increasingly encouraged to be actively involved but how they perceive their role in the decision-making process varies according to their health care providers and their health situation. Their role could be influenced by their social context but more specifically by subjective norms (i.e. patients’ view of the role that significant others expect them to play in the decision-making process) and perceived social support. We explore how social context (i.e. subjective norms and social support) relates to how the patient perceives their role in the decision-making process. Also, we explore the level of alignment on subjective norms between patients and their informal caregivers and nurses. Methods Mixed-method study among older patients, informal caregivers and nurses. For the quantitative questionnaire, a home care organisation randomly selected patients. The patients were asked to identify their informal caregiver and the home care organisation was asked to identify the nurse who was most involved in their care. In total 133 patients, 64 informal caregivers and 72 nurses were questioned. Participants for the qualitative interviews were selected using convenience sampling, resulting in the inclusion of ten patients, five informal caregivers and six nurses. Subjective norms were based on a previous study. Social support was measured with the ‘social support for health scale’ of the Health Literacy Questionnaire. The Control Preference Scale was used as outcome variable. The interviews focused on subjective norms, social support and how the patient perceived their role. Quantitative analysis included the calculation of subjective norm difference scores between respondent groups, one-way analysis of variance and multinomial logistic regression analysis. Directed content analysis was applied to the interviews using Atlas TI. Results Lower difference scores were found for patient-informal caregiver dyads (mean = 0.95), implying more alignment than in patient-nurse dyads (mean = 2.12). Patients perceiving themselves to have a shared or passive role tend to believe that they are expected to leave decision-making to the health care provider. Higher social support scores related more to a shared role. Alignment relates to: familiarity with the patient’s preferences, overprotectiveness or valuing the care provider’s opinion and the severity of the patient’s medical history. Conclusion Patients and informal caregivers align on whether the patient should make decisions. The more patients believe that they are expected to leave decision-making to the health care provider, the more they perceive themselves as having a passive role. The more patients who feel they have support, the more they perceive themselves as having a shared role. Patients and caregivers could be facilitated to make role expectations explicit. Examining support resources in the social network is desirable.
Collapse
Affiliation(s)
- Kirti D Doekhie
- Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.
| | - Martina Buljac-Samardzic
- Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Mathilde M H Strating
- Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Jaap Paauwe
- Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.,Department of Applied Economics, Erasmus University Rotterdam, Rotterdam, Netherlands.,Department of Human Resource Studies, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands
| |
Collapse
|
30
|
Visser LNC, van Maurik IS, Bouwman FH, Staekenborg S, Vreeswijk R, Hempenius L, de Beer MH, Roks G, Boelaarts L, Kleijer M, van der Flier WM, Smets EMA. Clinicians' communication with patients receiving a MCI diagnosis: The ABIDE project. PLoS One 2020; 15:e0227282. [PMID: 31961882 PMCID: PMC6974141 DOI: 10.1371/journal.pone.0227282] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 12/16/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND We aimed to explore clinicians' communication, including the discussion of diagnosis, cause, prognosis and care planning, in routine post-diagnostic testing consultations with patients with Mild Cognitive Impairment (MCI). METHODS Thematic content analysis was used to analyze audiotaped consultations in which 10 clinicians (eight neurologists and two geriatricians) from 7 memory clinics, disclosed diagnostic information to 13 MCI patients and their care partners. We assessed clinician-patient communication regarding diagnostic label, cause, prognosis and care planning to identify core findings. RESULTS Core findings were: clinicians 1) differed in how they informed about the MCI label; 2) tentatively addressed cause of symptoms; 3) (implicitly) steered against further biomarker testing; 4) rarely informed about the patient's risk of developing dementia; 5) often informed about the expected course of symptoms emphasizing potential symptom stabilization and/or improvement, and; 6) did not engage in a conversation on long-term (care) planning. DISCUSSION Clinicians' information provision about the underlying cause, prognosis and implications for long-term (care) planning in MCI could be more specific. Since most patients and care partners have a strong need to understand the patient's symptoms, and for information on the prognosis and implications for the future, clinicians' current approach may not match with those needs.
Collapse
Affiliation(s)
- Leonie N. C. Visser
- Department of Medical Psychology, Amsterdam Public Health research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ingrid S. van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke H. Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Salka Staekenborg
- Department of Neurology, Tergooi Ziekenhuis, Blaricum, The Netherlands
| | - Ralph Vreeswijk
- Department of Clinical Geriatrics, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Liesbeth Hempenius
- Geriatric Center, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Marlijn H. de Beer
- Department of Neurology, Reinier de Graaf Gasthuis, Delft, The Netherlands
| | - Gerwin Roks
- Department of Neurology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands
| | - Leo Boelaarts
- Geriatric Department, NoordWest Ziekenhuis Groep, Alkmaar, The Netherlands
| | - Mariska Kleijer
- Department of Neurology, LangeLand Ziekenhuis, Zoetermeer, The Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen M. A. Smets
- Department of Medical Psychology, Amsterdam Public Health research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
31
|
Rhodius-Meester HFM, van Maurik IS, Koikkalainen J, Tolonen A, Frederiksen KS, Hasselbalch SG, Soininen H, Herukka SK, Remes AM, Teunissen CE, Barkhof F, Pijnenburg YAL, Scheltens P, Lötjönen J, van der Flier WM. Selection of memory clinic patients for CSF biomarker assessment can be restricted to a quarter of cases by using computerized decision support, without compromising diagnostic accuracy. PLoS One 2020; 15:e0226784. [PMID: 31940390 PMCID: PMC6961870 DOI: 10.1371/journal.pone.0226784] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 12/03/2019] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION An accurate and timely diagnosis for Alzheimer's disease (AD) is important, both for care and research. The current diagnostic criteria allow the use of CSF biomarkers to provide pathophysiological support for the diagnosis of AD. How these criteria should be operationalized by clinicians is unclear. Tools that guide in selecting patients in which CSF biomarkers have clinical utility are needed. We evaluated computerized decision support to select patients for CSF biomarker determination. METHODS We included 535 subjects (139 controls, 286 Alzheimer's disease dementia, 82 frontotemporal dementia and 28 vascular dementia) from three clinical cohorts. Positive (AD like) and negative (normal) CSF biomarker profiles were simulated to estimate whether knowledge of CSF biomarkers would impact (confidence in) diagnosis. We applied these simulated CSF values and combined them with demographic, neuropsychology and MRI data to initiate CSF testing (computerized decision support approach). We compared proportion of CSF measurements and patients diagnosed with sufficient confidence (probability of correct class ≥0.80) based on an algorithm with scenarios without CSF (only neuropsychology, MRI and APOE), CSF according to the appropriate use criteria (AUC) and CSF for all patients. RESULTS The computerized decision support approach recommended CSF testing in 140 (26%) patients, which yielded a diagnosis with sufficient confidence in 379 (71%) of all patients. This approach was more efficient than CSF in none (0% CSF, 308 (58%) diagnosed), CSF selected based on AUC (295 (55%) CSF, 350 (65%) diagnosed) or CSF in all (100% CSF, 348 (65%) diagnosed). CONCLUSIONS We used a computerized decision support with simulated CSF results in controls and patients with different types of dementia. This approach can support clinicians in making a balanced decision in ordering additional biomarker testing. Computer-supported prediction restricts CSF testing to only 26% of cases, without compromising diagnostic accuracy.
Collapse
Affiliation(s)
- Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Internal Medicine, Geriatric Medicine section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Antti Tolonen
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Kristian S Frederiksen
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Steen G Hasselbalch
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anne M Remes
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Research Neurology, Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland
- MRC Oulu, Oulu University Hospital, Oulu, Finland
| | - Charlotte E Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL, London, England, United Kingdom
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| |
Collapse
|
32
|
Tochel C, Smith M, Baldwin H, Gustavsson A, Ly A, Bexelius C, Nelson M, Bintener C, Fantoni E, Garre-Olmo J, Janssen O, Jindra C, Jørgensen IF, McKeown A, Öztürk B, Ponjoan A, Potashman MH, Reed C, Roncancio-Diaz E, Vos S, Sudlow C, the ROADMAP consortium. What outcomes are important to patients with mild cognitive impairment or Alzheimer's disease, their caregivers, and health-care professionals? A systematic review. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:231-247. [PMID: 30906845 PMCID: PMC6411507 DOI: 10.1016/j.dadm.2018.12.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Clinical trials involving patients with Alzheimer's disease (AD) continue to try to identify disease-modifying treatments. Although trials are designed to meet regulatory and registration requirements, many do not measure outcomes of the disease most relevant to key stakeholders. METHODS A systematic review sought research that elicited information from people with AD, their caregivers, and health-care professionals on which outcomes of the disease were important. Studies published in any language between 2008 and 2017 were included. RESULTS Participants in 34 studies described 32 outcomes of AD. These included clinical (memory, mental health), practical (ability to undertake activities of daily living, access to health information), and personal (desire for patient autonomy, maintenance of identity) outcomes of the disease. DISCUSSION Evidence elicited directly from the people most affected by AD reveals a range of disease outcomes that are relevant to them but are not commonly captured in clinical trials of new treatments.
Collapse
Affiliation(s)
- Claire Tochel
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Michael Smith
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Helen Baldwin
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- University of Oxford, Oxford, UK
| | - Anders Gustavsson
- Quantify Research, Stockholm, Sweden
- Department of Neurobiology, Care Sciences & Society, Karolinska Institute, Stockholm, Sweden
- F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Amanda Ly
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | | - Mia Nelson
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | | | | - Josep Garre-Olmo
- Girona Biomedical Research Institute (IdibGI), Girona, Catalonia, Spain
| | - Olin Janssen
- Department of Psychiatry & Neuropsychology, School for Mental Health & Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | | | - Isabella F. Jørgensen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Buket Öztürk
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Anna Ponjoan
- Girona Biomedical Research Institute (IdibGI), Girona, Catalonia, Spain
- Vascular Health Research Group (ISV-Girona), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Catalonia, Spain
| | | | | | | | - Stephanie Vos
- Department of Psychiatry & Neuropsychology, School for Mental Health & Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands
| | - Cathie Sudlow
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | |
Collapse
|
33
|
Babapour Mofrad R, Visser LNC, Fruijtier AD, Scheltens P, Smets E(EMA, van der Flier WM, Teunissen CE. Cerebrospinal fluid collection: An informative animation video for patients and caregivers. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:435-438. [PMID: 31211216 PMCID: PMC6562320 DOI: 10.1016/j.dadm.2019.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Daily clinical practice has shown that patients are often hesitant to undergo a lumbar puncture (LP) because of unfamiliarity with the awaiting procedure and/or unrealistic ideas concerning post-LP complications. In light of increased number of LPs in diagnostic and research settings, our institute has developed an educational video for patients and caregivers in which we inform them about and prepare them for the LP procedure. This video was based on the latest literature and was developed with the help of communication experts, medical doctors, and two separate patient panels.
Collapse
Affiliation(s)
- R. Babapour Mofrad
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Leonie Nicoline Cornelia Visser
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam Public Health, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Agnetha Diantha Fruijtier
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam Public Health, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Wiesje Maria van der Flier
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Charlotte Elisabeth Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| |
Collapse
|
34
|
van Maurik IS, van der Kall LM, de Wilde A, Bouwman FH, Scheltens P, van Berckel BN, Berkhof J, van der Flier WM. Added value of amyloid PET in individualized risk predictions for MCI patients. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:529-537. [PMID: 31388557 PMCID: PMC6667768 DOI: 10.1016/j.dadm.2019.04.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
INTRODUCTION To construct a prognostic model based on amyloid positron emission tomography (PET) to predict clinical progression in individual patients with mild cognitive impairment (MCI). METHODS We included 411 MCI patients from the Alzheimer's Disease Neuroimaging Initiative. Prognostic models were constructed with Cox regression with demographics, magnetic resonance imaging, and/or amyloid PET to predict progression to Alzheimer's disease dementia. The models were validated in the Amsterdam Dementia Cohort. RESULTS The combined model (Harrell's C = 0.82 [0.78-0.86]) was significantly superior to demographics (β = 0.100, P < .001), magnetic resonance imaging (β = 0.037, P = .011), and PET only models (β = 0.053, P = .003).The models can be used to calculate individualized risk, for example, a female MCI patient (age = 60, APOE ε4 positive, Mini-Mental State Examination = 25, hippocampal volume = 5.8 cm3, amyloid PET positive) has 35% (19-57) risk in one year and 85% (64-97) risk in three years. Model performances in the Amsterdam Dementia Cohort were reasonable. DISCUSSION The present study facilitates the interpretation of an amyloid PET result in the context of a patient's own characteristics and clinical assessment.
Collapse
Affiliation(s)
- Ingrid S. van Maurik
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Laura M. van der Kall
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Arno de Wilde
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke H. Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N.M. van Berckel
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Johannes Berkhof
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M. van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
35
|
Visser LNC, Pelt SAR, Kunneman M, Bouwman FH, Claus JJ, Kalisvaart KJ, Hempenius L, de Beer MH, Roks G, Boelaarts L, Kleijer M, van der Flier WM, Smets EMA, Hillen MA. Communicating uncertainties when disclosing diagnostic test results for (Alzheimer's) dementia in the memory clinic: The ABIDE project. Health Expect 2019; 23:52-62. [PMID: 31638322 PMCID: PMC6978856 DOI: 10.1111/hex.12964] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 08/26/2019] [Accepted: 08/28/2019] [Indexed: 02/06/2023] Open
Abstract
Background The development of novel diagnostics enables increasingly earlier diagnosis of Alzheimer's disease (AD). Timely diagnosis may benefit patients by reducing their uncertainty regarding the cause of symptoms, yet does not always provide patients with the desired certainty. Objective To examine, using both quantitative and qualitative methods, uncertainty communicated by memory clinic clinicians in post‐diagnostic testing consultations with patients and their caregivers. Methods First, we identified all uncertainty expressions of 22 clinicians in audiotaped post‐diagnostic testing consultations with 78 patients. Second, we statistically explored relationships between patient/clinician characteristics and uncertainty expressions. Third, the transcribed uncertainty expressions were qualitatively analysed, determining the topic to which they pertained, their source and initiator/elicitor (clinicians/patients/caregivers). Results Within 57/78 (73%) consultations, clinicians expressed in total 115 uncertainties, of which 37% elicited by the patient or caregiver. No apparent relationships were found between patient/clinician characteristics and whether or not, and how often clinicians expressed uncertainty. Uncertainty expressions pertained to ten different topics, most frequently patient's diagnosis and symptom progression. Expressed uncertainty was mostly related to the unpredictability of the future and limits to available knowledge. Discussion and conclusions The majority of clinicians openly discussed the limits of scientific knowledge and diagnostic testing with patients and caregivers in the dementia context. Noticeably, clinicians did not discuss uncertainty in about one quarter of consultations. More evidence is needed on the beneficial and/or harmful effects on patients of discussing uncertainty with them. This knowledge can be used to support clinicians to optimally convey uncertainty and facilitate patients' uncertainty management.
Collapse
Affiliation(s)
- Leonie N C Visser
- Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sophie A R Pelt
- Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marleen Kunneman
- Knowledge and Evaluation Research (KER) Unit, Mayo Clinic, Rochester, MN, USA.,Department of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands
| | - Femke H Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jules J Claus
- Department of Neurology, Tergooi Hospital, Blaricum, The Netherlands
| | - Kees J Kalisvaart
- Department of Clinical Geriatrics, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Liesbeth Hempenius
- Geriatric Center, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Marlijn H de Beer
- Department of Neurology, Reinier de Graaf Gasthuis, Delft, The Netherlands
| | - Gerwin Roks
- Department of Neurology, ETZ Hospital, Tilburg, The Netherlands
| | - Leo Boelaarts
- Geriatric Department, NoordWest Ziekenhuis Groep, Alkmaar, The Netherlands
| | - Mariska Kleijer
- Department of Neurology, LangeLand Ziekenhuis, Zoetermeer, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marij A Hillen
- Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
36
|
van Maurik IS, Vos SJ, Bos I, Bouwman FH, Teunissen CE, Scheltens P, Barkhof F, Frolich L, Kornhuber J, Wiltfang J, Maier W, Peters O, Rüther E, Nobili F, Frisoni GB, Spiru L, Freund-Levi Y, Wallin AK, Hampel H, Soininen H, Tsolaki M, Verhey F, Kłoszewska I, Mecocci P, Vellas B, Lovestone S, Galluzzi S, Herukka SK, Santana I, Baldeiras I, de Mendonça A, Silva D, Chetelat G, Egret S, Palmqvist S, Hansson O, Visser PJ, Berkhof J, van der Flier WM. Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study. Lancet Neurol 2019; 18:1034-1044. [PMID: 31526625 DOI: 10.1016/s1474-4422(19)30283-2] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/02/2019] [Accepted: 07/09/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND Biomarker-based risk predictions of dementia in people with mild cognitive impairment are highly relevant for care planning and to select patients for treatment when disease-modifying drugs become available. We aimed to establish robust prediction models of disease progression in people at risk of dementia. METHODS In this modelling study, we included people with mild cognitive impairment (MCI) from single-centre and multicentre cohorts in Europe and North America: the European Medical Information Framework for Alzheimer's Disease (EMIF-AD; n=883), Alzheimer's Disease Neuroimaging Initiative (ADNI; n=829), Amsterdam Dementia Cohort (ADC; n=666), and the Swedish BioFINDER study (n=233). Inclusion criteria were a baseline diagnosis of MCI, at least 6 months of follow-up, and availability of a baseline Mini-Mental State Examination (MMSE) and MRI or CSF biomarker assessment. The primary endpoint was clinical progression to any type of dementia. We evaluated performance of previously developed risk prediction models-a demographics model, a hippocampal volume model, and a CSF biomarkers model-by evaluating them across cohorts, incorporating different biomarker measurement methods, and determining prognostic performance with Harrell's C statistic. We then updated the models by re-estimating parameters with and without centre-specific effects and evaluated model calibration by comparing observed and expected survival. Finally, we constructed a model combining markers for amyloid deposition, tauopathy, and neurodegeneration (ATN), in accordance with the National Institute on Aging and Alzheimer's Association research framework. FINDINGS We included all 2611 individuals with MCI in the four cohorts, 1007 (39%) of whom progressed to dementia. The validated demographics model (Harrell's C 0·62, 95% CI 0·59-0·65), validated hippocampal volume model (0·67, 0·62-0·72), and updated CSF biomarkers model (0·72, 0·68-0·74) had adequate prognostic performance across cohorts and were well calibrated. The newly constructed ATN model had the highest performance (0·74, 0·71-0·76). INTERPRETATION We generated risk models that are robust across cohorts, which adds to their potential clinical applicability. The models could aid clinicians in the interpretation of CSF biomarker and hippocampal volume results in individuals with MCI, and help research and clinical settings to prepare for a future of precision medicine in Alzheimer's disease. Future research should focus on the clinical utility of the models, particularly if their use affects participants' understanding, emotional wellbeing, and behaviour. FUNDING ZonMW-Memorabel.
Collapse
Affiliation(s)
- Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.
| | - Stephanie J Vos
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht, Netherlands
| | - Isabelle Bos
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht, Netherlands
| | - Femke H Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Lutz Frolich
- Department of Geriatric Psychiatry, Zentralinstitut für Seelische Gesundheit, Medical Faculty Mannheim University of Heidelberg, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-University, Göttingen, Germany; German Center for Neurodegenerative Diseases, Göttingen, Germany; iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Gerotopsychiatry, University of Bonn, German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; German Center for Neurodegenerative Diseases, Berlin, Germany
| | - Eckart Rüther
- Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany
| | - Flavio Nobili
- Clinical Neurology, Department of Neurosciences, University of Genoa, Genoa, Italy; Neurology Department, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Giovanni B Frisoni
- Memory Clinic, University Hospital and University of Geneva, Geneva, Switzerland
| | - Luiza Spiru
- Geriatrics, Gerontology and Old Age Psychiatry Clinical Department, Carol Davila University of Medicine and Pharmacy-"Elias" Emergency Clinical Hospital, Bucharest, Romania; Memory Clinic and Longevity Medicine, Ana Aslan International Foundation, Romania
| | - Yvonne Freund-Levi
- School of Medical Sciences, Örebro University, Örebro, Sweden; Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden; Department of Old Age Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Asa K Wallin
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Harald Hampel
- Alzheimer Precision Medicine, GRC 21, Sorbonne University, AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Eisai, Neurology Business Group, Woodcliff Lake, NJ, USA
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland and Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Magda Tsolaki
- 1st Department of Neurology, Aristotle University of Thessaloniki, Memory and Dementia Center, "AHEPA" General Hospital, Thessaloniki, Greece
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht, Netherlands
| | - Iwona Kłoszewska
- Department of Geriatric Psychiatry and Psychotic Disorders, Medical University of Lodz, Lodz, Poland
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | | | | | - Samantha Galluzzi
- Lab Alzheimer's Neuroimaging and Epidemiology, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine, Neurology, University of Eastern Finland and Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Isabel Santana
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ines Baldeiras
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | | | - Dina Silva
- Institute of Molecular Medicine, University of Lisbon, Lisbon, Portugal; Faculty of Medicine, University of Lisbon, Lisbon, Portugal; Centre for Biomedical Research, Universidade do Algarve, Faro, Portugal
| | - Gael Chetelat
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - Stephanie Egret
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht, Netherlands
| | - Johannes Berkhof
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | | |
Collapse
|
37
|
Fruijtier AD, Visser LNC, van Maurik IS, Zwan MD, Bouwman FH, van der Flier WM, Smets EMA. ABIDE Delphi study: topics to discuss in diagnostic consultations in memory clinics. ALZHEIMERS RESEARCH & THERAPY 2019; 11:77. [PMID: 31472676 PMCID: PMC6717649 DOI: 10.1186/s13195-019-0531-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 08/19/2019] [Indexed: 12/13/2022]
Abstract
Background Information given to patients and caregivers during the clinician-patient encounter varies considerably between memory clinic professionals. Patients and caregivers express a clear desire for more information. It is unclear what information patients and caregivers value most during the diagnostic process and whether this is concordant with professionals’ opinion. We aimed to identify a topic list on which health care professionals, patients, and caregivers agree that these should be discussed during diagnostic consultations in memory clinics. Further, we aimed to establish the optimal moment for each topic to be discussed during the diagnostic process. Methods We performed a three-round Delphi consensus study. Professionals (N = 80), patients (N = 66), and caregivers (N = 76) rated the importance of 44 informative topics through an online questionnaire. Consensus was defined as a topic rating of 6 or 7 on a 7-point Likert scale by ≥ 75% of each panel. In round 2 and 3, a survey was added to identify the optimal moment during the diagnostic process to discuss each topic. Results By round 3, consensus was achieved on 17 topics divided into four categories, information about (1) diagnostic testing, (2) test results, (3) diagnosis, and (4) practical implications. Eight additional topics showed significant differences between panels. Most notable panel differences regard the risk for developing dementia and the distinction between Alzheimer’s disease and dementia, which patients and caregivers evaluated as more important compared to professionals. The optimal moment to discuss topics during the diagnostic process was identified for the 17 core topics, and the eight topics with significant differences. Conclusions We present a core list of informative topics, which professionals, patients, and caregivers agree they should be discussed during the diagnostic process in a memory clinic. The topic list can support professionals and empower patients and caregivers during diagnostic physician-patient consultations. Electronic supplementary material The online version of this article (10.1186/s13195-019-0531-y) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Agnetha D Fruijtier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands. .,Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Leonie N C Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.,Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ingrid S van Maurik
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marissa D Zwan
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
38
|
Clinician-patient communication during the diagnostic workup: The ABIDE project. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:520-528. [PMID: 31388556 PMCID: PMC6667786 DOI: 10.1016/j.dadm.2019.06.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Introduction We aimed to describe clinician-patient communication in the diagnostic process of memory clinics, specifically clinician behavior known to facilitate knowledgeable participation of patients during consultations. Methods In this multicenter, observational study, we audio-recorded routine diagnostic consultations of 41 clinicians and 136 patients/caregivers at eight memory clinics. Patients/caregivers completed surveys after each audiotaped consultation. We used a study-specific coding scheme to categorize communication behavior. Results Clinicians often provided information on (results of) diagnostic testing. They infrequently invited questions and/or checked understanding. Clinician behavior to involve patients in decision-making about diagnostic testing was limited. Of note, patients/caregivers rarely expressed their information or involvement preferences. Yet, approximately, one quarter of them would have liked to receive more information. Discussion Involving patients more explicitly by means of shared decision-making could benefit the quality of care provided in memory clinics because it enables clinicians to attune the diagnostic workup to the individual patient's needs. Considering patient preferences in the diagnostic process enables personalized care. Knowledgeable participation in diagnostic consultations is therefore warranted. Clinicians often provided information on diagnostic procedures and test results. Yet, they showed limited behavior to promote patients' understanding. And patients were seldom involved in decision-making about diagnostic testing.
Collapse
|
39
|
van Maurik IS, Visser LN, Pel-Littel RE, van Buchem MM, Zwan MD, Kunneman M, Pelkmans W, Bouwman FH, Minkman M, Schoonenboom N, Scheltens P, Smets EM, van der Flier WM. Development and Usability of ADappt: Web-Based Tool to Support Clinicians, Patients, and Caregivers in the Diagnosis of Mild Cognitive Impairment and Alzheimer Disease. JMIR Form Res 2019; 3:e13417. [PMID: 31287061 PMCID: PMC6643768 DOI: 10.2196/13417] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 04/30/2019] [Accepted: 04/30/2019] [Indexed: 12/31/2022] Open
Abstract
Background As a result of advances in diagnostic testing in the field of Alzheimer disease (AD), patients are diagnosed in earlier stages of the disease, for example, in the stage of mild cognitive impairment (MCI). This poses novel challenges for a clinician during the diagnostic workup with regard to diagnostic testing itself, namely, which tests are to be performed, but also on how to engage patients in this decision and how to communicate test results. As a result, tools to support decision making and improve risk communication could be valuable for clinicians and patients. Objective The aim of this study was to present the design, development, and testing of a Web-based tool for clinicians in a memory clinic setting and to ascertain whether this tool can (1) facilitate the interpretation of biomarker results in individual patients with MCI regarding their risk of progression to dementia, (2) support clinicians in communicating biomarker test results and risks to MCI patients and their caregivers, and (3) support clinicians in a process of shared decision making regarding the diagnostic workup of AD. Methods A multiphase mixed-methods approach was used. Phase 1 consisted of a qualitative needs assessment among professionals, patients, and caregivers; phase 2, consisted of an iterative process of development and the design of the tool (ADappt); and phase 3 consisted of a quantitative and qualitative assessment of usability and acceptability of ADappt. Across these phases, co-creation was realized via a user-centered qualitative approach with clinicians, patients, and caregivers. Results In phase 1, clinicians indicated the need for risk calculation tools and visual aids to communicate test results to patients. Patients and caregivers expressed their needs for more specific information on their risk for developing AD and related consequences. In phase 2, we developed the content and graphical design of ADappt encompassing 3 modules: a risk calculation tool, a risk communication tool including a summary sheet for patients and caregivers, and a conversation starter to support shared decision making regarding the diagnostic workup. In phase 3, ADappt was considered to be clear and user-friendly. Conclusions Clinicians in a memory clinic setting can use ADappt, a Web-based tool, developed using multiphase design and co-creation, for support that includes an individually tailored interpretation of biomarker test results, communication of test results and risks to patients and their caregivers, and shared decision making on diagnostic testing.
Collapse
Affiliation(s)
- Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Leonie Nc Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.,Department of Medical Psychology, Amsterdam Public Health Research Insitute, University of Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | | | - Marieke M van Buchem
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Marleen Kunneman
- Department of Medical Psychology, Amsterdam Public Health Research Insitute, University of Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.,Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Wiesje Pelkmans
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Femke H Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Mirella Minkman
- Vilans Center of Expertise for Long Term Care, Utrecht, Netherlands.,Tilburg University, TIAS School for Business and Society, Tilburg, Netherlands
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Ellen Ma Smets
- Department of Medical Psychology, Amsterdam Public Health Research Insitute, University of Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| |
Collapse
|
40
|
van Maurik IS, Slot RER, Verfaillie SCJ, Zwan MD, Bouwman FH, Prins ND, Teunissen CE, Scheltens P, Barkhof F, Wattjes MP, Molinuevo JL, Rami L, Wolfsgruber S, Peters O, Jessen F, Berkhof J, van der Flier WM. Personalized risk for clinical progression in cognitively normal subjects-the ABIDE project. ALZHEIMERS RESEARCH & THERAPY 2019; 11:33. [PMID: 30987684 PMCID: PMC6466790 DOI: 10.1186/s13195-019-0487-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 03/29/2019] [Indexed: 01/26/2023]
Abstract
Background Biomarkers such as cerebrospinal fluid (CSF) and magnetic resonance imaging (MRI) have predictive value for progression to dementia in patients with mild cognitive impairment (MCI). The pre-dementia stage takes far longer, and the interpretation of biomarker findings is particular relevant for individuals who present at a memory clinic, but are deemed cognitively normal. The objective of the current study is to construct biomarker-based prognostic models for personalized risk of clinical progression in cognitively normal individuals presenting at a memory clinic. Methods We included 481 individuals with subjective cognitive decline (SCD) from the Amsterdam Dementia Cohort. Prognostic models were developed by Cox regression with patient characteristics, MRI, and/or CSF biomarkers to predict clinical progression to MCI or dementia. We estimated 5- and 3-year individualized risks based on patient-specific values. External validation was performed on Alzheimer’s Disease Neuroimaging Initiative (ADNI) and an European dataset. Results Based on demographics only (Harrell’s C = 0.70), 5- and 3-year progression risks varied from 6% [3–11] and 4% [2–8] (age 55, MMSE 30) to 38% [29–49] and 28% [21–37] (age 70, MMSE 27). Normal CSF biomarkers strongly decreased progression probabilities (Harrell’s C = 0.82). By contrast, abnormal CSF markedly increased risk (5 years, 96% [56–100]; 3 years, 89% [44–99]). The CSF model could reclassify 58% of the individuals with an “intermediate” risk (35–65%) based on the demographic model. MRI measures were not retained in the models. Conclusion The current study takes the first steps in a personalized approach for cognitively normal individuals by providing biomarker-based prognostic models. Electronic supplementary material The online version of this article (10.1186/s13195-019-0487-y) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands. .,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Rosalinde E R Slot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sander C J Verfaillie
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Niels D Prins
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Brain Research Center, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jose Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spain and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Barcelona, Spain and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Steffen Wolfsgruber
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Johannes Berkhof
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | | |
Collapse
|
41
|
Falgàs N, Tort-Merino A, Balasa M, Borrego-Écija S, Castellví M, Olives J, Bosch B, Férnandez-Villullas G, Antonell A, Augé JM, Lomeña F, Perissinotti A, Bargalló N, Sánchez-Valle R, Lladó A. Clinical applicability of diagnostic biomarkers in early-onset cognitive impairment. Eur J Neurol 2019; 26:1098-1104. [PMID: 30793432 DOI: 10.1111/ene.13945] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 02/19/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Several diagnostic biomarkers are currently available for clinical use in early-onset cognitive impairment. The decision on which biomarker is used in each patient depends on several factors such as its predictive value or tolerability. METHODS There were a total of 40 subjects with early-onset cognitive complaints (<65 years of age): 26 with Alzheimer's disease (AD), five with frontotemporal dementia and nine with diagnostic suspicion of non-neurodegenerative disorder. Clinical and neuropsychological evaluation, lumbar puncture for cerebrospinal fluid (CSF) AD core biochemical marker determination, medial temporal atrophy evaluation on magnetic resonance imaging, amyloid-positron emission tomography (PET) and 18 F-fluorodeoxyglucose-PET were performed. Neurologists provided pre- and post-biomarker diagnosis, together with diagnostic confidence and clinical/therapeutic management. Patients scored the tolerability of each procedure. RESULTS Cerebrospinal fluid biomarkers and amyloid-PET increased diagnostic confidence in AD (77.4%-86.2% after CSF, 92.4% after amyloid-PET, P < 0.01) and non-neurodegenerative conditions (53.6%-75% after CSF, 95% after amyloid-PET, P < 0.05). Biomarker results led to diagnostic (32.5%) and treatment (32.5%) changes. All tests were well tolerated. CONCLUSIONS Biomarker procedures are well tolerated and have an important diagnostic/therapeutic impact on early-onset cognitive impairment.
Collapse
Affiliation(s)
- N Falgàs
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - A Tort-Merino
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - M Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain.,Atlantic Fellow for Equity in Brain Health, Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - S Borrego-Écija
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - M Castellví
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - J Olives
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - B Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - G Férnandez-Villullas
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - A Antonell
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - J M Augé
- Biochemistry and Molecular Genetics Department, Hospital Clínic de Barcelona, Barcelona
| | - F Lomeña
- Nuclear Medicine Department, Hospital Clínic de Barcelona, Barcelona
| | - A Perissinotti
- Nuclear Medicine Department, Hospital Clínic de Barcelona, Barcelona
| | - N Bargalló
- Image Diagnostic Centre, IDIBAPS, Hospital Clínic de Barcelona, Barcelona, Spain
| | - R Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| | - A Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Barcelona, Spain
| |
Collapse
|
42
|
Rhodius-Meester HFM, Liedes H, Koikkalainen J, Wolfsgruber S, Coll-Padros N, Kornhuber J, Peters O, Jessen F, Kleineidam L, Molinuevo JL, Rami L, Teunissen CE, Barkhof F, Sikkes SAM, Wesselman LMP, Slot RER, Verfaillie SCJ, Scheltens P, Tijms BM, Lötjönen J, van der Flier WM. Computer-assisted prediction of clinical progression in the earliest stages of AD. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:726-736. [PMID: 30619929 PMCID: PMC6310913 DOI: 10.1016/j.dadm.2018.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Introduction Individuals with subjective cognitive decline (SCD) are at increased risk for clinical progression. We studied how combining different diagnostic tests can help to identify individuals who are likely to show clinical progression. Methods We included 674 patients with SCD (46% female, 64 ± 9 years, Mini-Mental State Examination 28 ± 2) from three memory clinic cohorts. A multivariate model based on the Disease State Index classifier incorporated the available baseline tests to predict progression to MCI or dementia over time. We developed and internally validated the model in one cohort and externally validated it in the other cohorts. Results After 2.9 ± 2.0 years, 151(22%) patients showed clinical progression. Overall performance of the classifier when combining cognitive tests, magnetic resonance imagining, and cerebrospinal fluid showed a balanced accuracy of 74.0 ± 5.5, with high negative predictive value (93.3 ± 2.8). Discussion We found that a combination of diagnostic tests helps to identify individuals at risk of progression. The classifier had particularly good accuracy in identifying patients who remained stable.
Collapse
Affiliation(s)
- Hanneke F M Rhodius-Meester
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Hilkka Liedes
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland
| | - Juha Koikkalainen
- VTT Technical Research Centre of Finland Ltd., Tampere, Finland.,Combinostics Ltd., Tampere, Finland
| | - Steffen Wolfsgruber
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany, and German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Nina Coll-Padros
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Luca Kleineidam
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany, and German Center for Neurodegenerative Diseases, Bonn, Germany
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, IDIBAPS, Barcelona, Spain.,Barcelona Beta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Charlotte E Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands and Institutes of Neurology and Healthcare Engineering, UCL, London, United Kingdom
| | - Sietske A M Sikkes
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Linda M P Wesselman
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Rosalinde E R Slot
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Sander C J Verfaillie
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Betty M Tijms
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | | | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, the Netherlands
| |
Collapse
|
43
|
de Wilde A, van Buchem MM, Otten RHJ, Bouwman F, Stephens A, Barkhof F, Scheltens P, van der Flier WM. Disclosure of amyloid positron emission tomography results to individuals without dementia: a systematic review. ALZHEIMERS RESEARCH & THERAPY 2018; 10:72. [PMID: 30055660 PMCID: PMC6064628 DOI: 10.1186/s13195-018-0398-3] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background Disclosure of amyloid positron emission tomography (PET) results to individuals without dementia has become standard practice in secondary prevention trials and also increasingly occurs in clinical practice. However, this is controversial given the current lack of understanding of the predictive value of a PET result at the individual level and absence of disease-modifying treatments. In this study, we systematically reviewed the literature on the disclosure of amyloid PET in cognitively normal (CN) individuals and patients with mild cognitive impairment (MCI) in both research and clinical settings. Methods We performed a systematic literature search of four scientific databases. Two independent reviewers screened the identified records and selected relevant articles. Included articles presented either empirical data or theoretical data (i.e. arguments in favor or against amyloid status disclosure). Results from the theoretical data were aggregated and presented per theme. Results Of the seventeen included studies, eleven reported empirical data and six provided theoretical arguments. There was a large variation in the design of the empirical studies, which were almost exclusively in the context of cognitively normal trial participants, comprising only two prospective cohort studies quantitatively assessing the psychological impact of PET result disclosure which showed a low risk of psychological harm after disclosure. Four studies showed that both professionals and cognitively normal individuals support amyloid PET result disclosure and underlined the need for clear disclosure protocols. From the articles presenting theoretical data, we identified 51 ‘pro’ and ‘contra’ arguments. Theoretical arguments in favor or against disclosure were quite consistent across population groups and settings. Arguments against disclosure focused on the principle of non-maleficence, whereas its psychological impact and predictive value is unknown. Important arguments in favor of amyloid disclosure are the patients right to know (patient autonomy) and that it enables early future decision making. Discussion Before amyloid PET result disclosure in individuals without dementia in a research or clinical setting is ready for widespread application, more research is needed about its psychological impact, and its predictive value at an individual level. Finally, communication materials and strategies to support disclosure of amyloid PET results should be further developed and prospectively evaluated. Electronic supplementary material The online version of this article (10.1186/s13195-018-0398-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Arno de Wilde
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
| | - Marieke M van Buchem
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - René H J Otten
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
44
|
Stites SD, Milne R, Karlawish J. Advances in Alzheimer's imaging are changing the experience of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2018; 10:285-300. [PMID: 29780873 PMCID: PMC5956938 DOI: 10.1016/j.dadm.2018.02.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Neuroimaging is advancing a new definition of Alzheimer's disease (AD). Using imaging biomarkers, clinicians may begin to diagnose the disease by identifying pathology and neurodegeneration in either cognitively impaired or unimpaired adults. This "biomarker-based" diagnosis may allow clinicians novel opportunities to use interventions that either delay the onset or slow the progression of cognitive decline, but it will also bring novel challenges. How will changing the definition of AD from a clinical to a biomarker construct change the experience of living with the disease? Knowledge of AD biomarker status can affect how individuals feel about themselves (internalized stigma) and how others judge them (public stigma). Following a review of AD stigma, we appraise how advances in diagnosis may enable or interrupt its transfer from clinical to preclinical stages and then explore conceptual and pragmatic challenges to addressing stigma in routine care.
Collapse
Affiliation(s)
- Shana D. Stites
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard Milne
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jason Karlawish
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
45
|
van der Flier WM, Scheltens P. Amsterdam Dementia Cohort: Performing Research to Optimize Care. J Alzheimers Dis 2018; 62:1091-1111. [PMID: 29562540 PMCID: PMC5870023 DOI: 10.3233/jad-170850] [Citation(s) in RCA: 225] [Impact Index Per Article: 32.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2017] [Indexed: 01/01/2023]
Abstract
The Alzheimer center of the VU University Medical Center opened in 2000 and was initiated to combine both patient care and research. Together, to date, all patients forming the Amsterdam Dementia Cohort number almost 6,000 individuals. In this cohort profile, we provide an overview of the results produced based on the Amsterdam Dementia Cohort. We describe the main results over the years in each of these research lines: 1) early diagnosis, 2) heterogeneity, and 3) vascular factors. Among the most important research efforts that have also impacted patients' lives and/or the research field, we count the development of novel, easy to use diagnostic measures such as visual rating scales for MRI and the Amsterdam IADL Questionnaire, insight in different subgroups of AD, and findings on incidence and clinical sequelae of microbleeds. Finally, we describe in the outlook how our research endeavors have improved the lives of our patients.
Collapse
Affiliation(s)
- Wiesje M. van der Flier
- Department of Neurology, Alzheimer Center, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| |
Collapse
|
46
|
van der Flier WM, Kunneman M, Bouwman FH, Petersen RC, Smets EM. Diagnostic dilemmas in Alzheimer's disease: Room for shared decision making. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2017; 3:301-304. [PMID: 29067336 PMCID: PMC5651445 DOI: 10.1016/j.trci.2017.03.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The launch of the NIA-AA research criteria for Alzheimer's disease (AD) diagnosis illustrates the large advances that have been made in the field of AD diagnosis. These new possibilities however also introduce new dilemmas into the consulting room, and this provides room for shared decision making (SDM). SDM refers to clinicians and patients (and/or their caregivers) working together to decide which care plan best fits individual patients and their lives, when there is more than one reasonable option. Here, we describe how SDM in the diagnosis of AD promotes patient-centered care, as it helps to adapt the diagnostic process to the patients' values and preferences. We provide an outline for a research agenda, as SDM in the diagnosis of dementia should be studied intensively incorporating the views of both patients and caregivers.
Collapse
Affiliation(s)
- Wiesje M. van der Flier
- Alzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Marleen Kunneman
- Department of Medical Psychology, Academic Medical Center, Amsterdam, The Netherlands
| | - Femke H. Bouwman
- Alzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ronald C. Petersen
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Ellen M.A. Smets
- Department of Medical Psychology, Academic Medical Center, Amsterdam, The Netherlands
| |
Collapse
|