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Armstrong MJ, Bedenfield N, Rosselli M, Curiel Cid RE, Kitaigorodsky M, Galvin JE, Lachner C, Grant Smith A, de Los Ángeles Ortega M, Mohiuddin Y, Shatzer J, Marasco D, Willis D, Bylund CL. Best Practices for Communicating a Diagnosis of Dementia: Results of a Multi-Stakeholder Modified Delphi Consensus Process. Neurol Clin Pract 2024; 14:e200223. [PMID: 38152063 PMCID: PMC10750429 DOI: 10.1212/cpj.0000000000200223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 11/04/2023] [Indexed: 12/29/2023]
Abstract
Background and Objectives Many individuals with dementia and their families report not receiving a dementia diagnosis. Previously published standards for delivering a dementia diagnosis are now more than 10 years old and were developed without patient and caregiver input. The objective of this study was to identify best practices for delivering a diagnosis of dementia using existing literature, involvement of diverse stakeholders, and consensus building through a formal modified Delphi approach. Methods We convened a multi-stakeholder working group including a patient, caregivers, Alzheimer's Association staff, and clinicians from diverse backgrounds. The panel used the American Academy of Neurology process for recommendation development, consisting of a half-day workshop and 3 rounds of anonymous modified Delphi voting to achieve consensus. Results The working group convened from May 2022 through January 2023. The group chose to focus statements on a limited number of best practices that can be applied across clinic types. Seven best practice statements achieved consensus after a maximum of 3 rounds of voting. These included the following: (1) Clinicians must show compassion and empathy when delivering a diagnosis of dementia (level A). During dementia diagnosis disclosure, clinicians should (2) ask regarding diagnosis preferences, (3) instill realistic hope, (4) provide practical strategies, (5) provide education and connections to high-quality resources, (6) connect caregivers to support resources, and (7) provide written summaries of the diagnoses, plan, and relevant resources (each level B). Discussion Clinicians need to customize discussion of a dementia diagnosis for individual patients and their caregivers. These 7 best practices provide a diagnosis communication framework that can be implemented across varied clinical settings. Additional strategies, such as using optimal general communication approaches, are also important for dementia diagnosis discussions. Thoughtful application of these best practices is particularly important when caring for individuals from underrepresented communities. Further improving communication regarding dementia diagnoses will require health system changes (e.g., for sufficient time), improved access to specialty dementia care, and clinician training for delivering difficult diagnoses. More research is needed to identify culturally sensitive approaches to discussing dementia diagnoses.
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Affiliation(s)
- Melissa J Armstrong
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Noheli Bedenfield
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Monica Rosselli
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Rosie E Curiel Cid
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Marcela Kitaigorodsky
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - James E Galvin
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Christian Lachner
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Amanda Grant Smith
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - María de Los Ángeles Ortega
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Yasmin Mohiuddin
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Julie Shatzer
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Deann Marasco
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Dianna Willis
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
| | - Carma L Bylund
- Department of Neurology (MJA, NB, YM), University of Florida College of Medicine; UF Health Fixel Institute for Neurological Diseases (MJA, NB, YM), Gainesville; Department of Psychology (MR), Florida Atlantic University, Davie; Department of Psychiatry and Behavioral Sciences (RECC), University of Miami Miller School of Medicine; FL Neuro-Health (MK), Miami; Comprehensive Center for Brain Health (JEG), Department of Neurology, University of Miami Miller School of Medicine, Boca Raton; Department of Neurology (CL); Department of Psychiatry and Psychology (CL), Mayo Clinic, Jacksonville; Byrd Alzheimer's Institute (AGS); Department of Psychiatry and Behavioral Neurosciences (AGS), Morsani College of Medicine, University of South Florida, Tampa; Louis and Anne Green Memory and Wellness Center (MÁO), Christine E. Lynn College of Nursing, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton; Alzheimer's Association (JS, DM), Florida Region, Clearwater; Department of Health Outcomes and Biomedical Informatics (CLB), University of Florida College of Medicine, Gainesville, FL; and [N/A - caregiver representative] (DW)
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Li G, Toschi N, Devanarayan V, Batrla R, Boccato T, Cho M, Ferrante M, Frech F, Galvin JE, Henley D, Mattke S, De Santi S, Hampel H. The age-specific comorbidity burden of mild cognitive impairment: a US claims database study. Alzheimers Res Ther 2023; 15:211. [PMID: 38057937 PMCID: PMC10701954 DOI: 10.1186/s13195-023-01358-8] [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: 07/19/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Identifying individuals with mild cognitive impairment (MCI) who are likely to progress to Alzheimer's disease and related dementia disorders (ADRD) would facilitate the development of individualized prevention plans. We investigated the association between MCI and comorbidities of ADRD. We examined the predictive potential of these comorbidities for MCI risk determination using a machine learning algorithm. METHODS Using a retrospective matched case-control design, 5185 MCI and 15,555 non-MCI individuals aged ≥50 years were identified from MarketScan databases. Predictive models included ADRD comorbidities, age, and sex. RESULTS Associations between 25 ADRD comorbidities and MCI were significant but weakened with increasing age groups. The odds ratios (MCI vs non-MCI) in 50-64, 65-79, and ≥ 80 years, respectively, for depression (4.4, 3.1, 2.9) and stroke/transient ischemic attack (6.4, 3.0, 2.1). The predictive potential decreased with older age groups, with ROC-AUCs 0.75, 0.70, and 0.66 respectively. Certain comorbidities were age-specific predictors. CONCLUSIONS The comorbidity burden of MCI relative to non-MCI is age-dependent. A model based on comorbidities alone predicted an MCI diagnosis with reasonable accuracy.
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Affiliation(s)
- Gang Li
- Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA.
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy
- A.A. Martino's Center for Biomedical Imagin, Harvard Medical School, Boston, USA
| | | | | | - Tommaso Boccato
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy
| | - Min Cho
- Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA
| | - Matteo Ferrante
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy
| | - Feride Frech
- Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA
| | - James E Galvin
- Miller School of Medicine, University of Miami, 7700 W Camino Real, Suite 200, Boca Raton, FL, 33433, USA
| | - David Henley
- Research and Development, Janssen Pharmaceuticals, Inc., 1125 Bear Tavern Rd, Titusville, NJ, 08560, USA
| | - Soeren Mattke
- The USC Brain Health Observatory, University of Southern California, 635 Downey Way, Los Angeles, CA, 90089, USA
| | | | - Harald Hampel
- Eisai Inc., 200 Metro Boulevard, Nutley, NJ, 07110, USA.
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Borson S, Small GW, O'Brien Q, Morrello A, Boustani M. Understanding barriers to and facilitators of clinician-patient conversations about brain health and cognitive concerns in primary care: a systematic review and practical considerations for the clinician. BMC PRIMARY CARE 2023; 24:233. [PMID: 37932666 PMCID: PMC10626639 DOI: 10.1186/s12875-023-02185-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/16/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Primary care clinicians (PCCs) are typically the first practitioners to detect cognitive impairment in their patients, including those with Alzheimer's disease or related dementias (ADRD). However, conversations around cognitive changes can be challenging for patients, family members, and clinicians to initiate, with all groups reporting barriers to open dialogue. With the expanding array of evidence-based interventions for ADRD, from multidomain care management to novel biotherapeutics for early-stage AD, incorporating conversations about brain health into routine healthcare should become a standard of care. We conducted a systematic review to identify barriers to and facilitators of brain health conversations in primary care settings. METHODS We systematically searched PubMed, Scopus, Web of Science, and the Cochrane Library for qualitative or quantitative studies conducted in the US between January 2000 and October 2022 that evaluated perceptions of cognition and provider-patient brain health conversations prior to formal screening for, or diagnosis of, mild cognitive impairment or ADRD. We assessed the quality of the included studies using the Mixed Methods Appraisal Tool. RESULTS In total, 5547 unique abstracts were screened and 22 articles describing 19 studies were included. The studies explored perceptions of cognition among laypersons or clinicians, or provider-patient interactions in the context of a patient's cognitive concerns. We identified 4 main themes: (1) PCCs are hesitant to discuss brain health and cognitive concerns; (2) patients are hesitant to raise cognitive concerns; (3) evidence to guide clinicians in developing treatment plans that address cognitive decline is often poorly communicated; and (4) social and cultural context influence perceptions of brain health and cognition, and therefore affect clinical engagement. CONCLUSIONS Early conversations about brain health between PCCs and their patients are rare, and effective tools, processes, and strategies are needed to make these vital conversations routine.
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Affiliation(s)
- Soo Borson
- Department of Family Medicine, Keck School of Medicine, University of Southern California, 31 E. MacArthur Crescent B414, Santa Ana, Los Angeles, CA, USA.
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
| | - Gary W Small
- Department of Psychiatry and Behavioral Health, Hackensack Meridian School of Medicine, Hackensack, NJ, USA
| | - Quentin O'Brien
- Scientific and Medical Services, Health & Wellness Partners, LLC, Upper Saddle River, NJ, USA
- The School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Andrea Morrello
- Scientific and Medical Services, Health & Wellness Partners, LLC, Upper Saddle River, NJ, USA
| | - Malaz Boustani
- Division of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, IN, USA
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Wollney EN, Armstrong MJ, Bedenfield N, Rosselli M, Curiel-Cid RE, Kitaigorodsky M, Levy X, Bylund CL. Barriers and Best Practices in Disclosing a Dementia Diagnosis: A Clinician Interview Study. Health Serv Insights 2022; 15:11786329221141829. [PMID: 36506598 PMCID: PMC9729996 DOI: 10.1177/11786329221141829] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022] Open
Abstract
The vast majority of individuals with dementia want to receive a diagnosis. Research suggests, however, that only a fraction of individuals with dementia receive a diagnosis and patients and families often feel the information is poorly explained. We thus aimed to assess clinician-reported barriers to dementia disclosure and recommendations for giving a dementia diagnosis. To accomplish this, we performed telephone interviews with 15 clinicians from different specialties using a semi-structured interview guide. Transcripts were analyzed thematically. Clinician-reported barriers fit 3 categories: patient and caregiver-related barriers, clinician-related barriers, and barriers related to the triadic interaction. Patient and caregiver-related barriers included lack of social support, misunderstanding the diagnosis, and denial. Clinician barriers included difficulty giving bad news, difficulty communicating uncertainty, and lack of time. Triadic interaction barriers included challenges meeting multiple goals or needs and family requests for non-disclosure. Recommendations for best practice included for clinicians to foster relationships, educate patients and family, and take a family-centered approach. Clinicians described recommendations for fostering relationships such as using empathic communication and developing and maintaining connection. Educating patients and families included tailoring communication, explaining how the diagnosis was reached, and following up. Family approaches included meeting with family members prior to delivering the diagnosis and involving the caregiver in the discussion. Findings may inform updated recommendations for best practices when communicating a dementia diagnosis.
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Affiliation(s)
- Easton N Wollney
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA,Easton N Wollney, Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Gainesville, FL 32610, USA.
| | - Melissa J Armstrong
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Noheli Bedenfield
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Monica Rosselli
- Department of Psychology, Florida Atlantic University, Davie, FL, USA
| | - Rosie E Curiel-Cid
- Center for Cognitive Neuroscience and Aging, Department of Psychiatry & Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Marcela Kitaigorodsky
- Center for Cognitive Neuroscience and Aging, Department of Psychiatry & Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ximena Levy
- Clinical Research Unit, Division of Research, Florida Atlantic University, Boca Raton, FL, USA
| | - Carma L Bylund
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
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Reiss AB, de Levante Raphael D, Chin NA, Sinha V. The physician's Alzheimer's disease management guide: Early detection and diagnosis of cognitive impairment, Alzheimer's disease and related dementia. AIMS Public Health 2022; 9:661-689. [PMID: 36636148 PMCID: PMC9807411 DOI: 10.3934/publichealth.2022047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 01/16/2023] Open
Abstract
Primary care professionals play a critical role in the care of their patients. In clinical practice, early detection and diagnosis of Mild Cognitive Impairment, Alzheimer's disease and related dementia are often missed or delayed. Disclosure of diagnosis is not timely or not revealed. Though the methods that could improve early detection and diagnosis have remained the same over the decades with little change, they provide opportunities for early intervention, treatment and improvement in patient care. Emerging research suggests that though the disease process begins years prior to the clinical diagnosis, the healthcare system and health care professionals remain distant and reluctant to provide the service of annual cognitive assessment, which has been recommended by the Medicare program for older adults aged 65 years and older. Findings support that Alzheimer's disease and related cognitive impairments have gone under detected, underdiagnosed and undertreated. This article seeks to provide valuable and equitable information in the form of a clinician's guide for removing the barriers to early detection and diagnosis of cognitive impairments and offers an unprecedented opportunity to improve the clinical outcomes and care of older adults with various levels of cognitive decline, including mild cognitive impairment, Alzheimer's disease, and related dementias. This article provides information on understanding and addressing the challenges faced by health care professionals, including primary care clinicians; removing the barriers to cognitive assessments; educating this professional group on the importance of brain health, early detection, and diagnosis for their older adult patients; and providing these professionals with the ability to transfer their knowledge into more defined care planning. Until cognitive screening has been fully accepted and implemented for the optimal the care of older adults, health-related efforts should include the promotion and education of brain health, early detection, and diagnosis in the education of health care providers.
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Affiliation(s)
| | - Donna de Levante Raphael
- National Memory Screening Program, Alzheimer's Foundation of America, 322 Eighth Avenue, New York, NY 10001, USA
| | - Nathaniel A. Chin
- Wisconsin Alzheimer's Disease Research Center (ADRC), Madison, WI 53726
| | - Vivek Sinha
- Belleview Medical Partners, Alexandria, VA 22314 USA,* Correspondence: ; Tel: +19176888518; Fax: +16466381546
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Lu Y, Liu C, Yu D, Wells Y. Conditions required to ensure successful detection and management of mild cognitive impairment in primary care: A Delphi consultation study in China. Front Public Health 2022; 10:943964. [PMID: 36211650 PMCID: PMC9540221 DOI: 10.3389/fpubh.2022.943964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 09/06/2022] [Indexed: 01/21/2023] Open
Abstract
Objective Detection and management of mild cognitive impairment (MCI) in primary care has been recognized internationally as one of the strategies that can be employed to delay the development of dementia. However, little is known about what role primary care should play. This study aimed to develop a checklist of conditions necessary for successfully detecting and managing mild cognitive impairment in primary care in China. Methods This study employed the Delphi method to establish expert consensus on the conditions required for successfully detecting and managing MCI in primary care in China. Twenty-four experts who specialized in general practice, public health, neuropsychology, or community health service management rated the importance of pre-defined conditions (44 items measuring providers' preparedness, patient engagement, and system support in line with the Chronic Care Model). The degree of consensus among the experts was measured using four indicators: median ≥ 4, mean ≥3.5, Co-efficient of Variance < 0.25, and retention in the checklist required ≥ 80% agreement with a rating of important or essential. The checklist and descriptions of the conditions were revised according to the experts' feedback and then sent out for repeated consultations along with a summary of the results of the previous round of consultations. Consensus was achieved after the second round of consultations, which was completed by 22 of the experts. Results The experts endorsed a checklist of 47 conditions required for successful detection and management of MCI in primary care in China. These conditions were categorized into four domains: prepared general practitioners (17 items), engaged patients (15 items), organizational efforts (11 items), and environmental support (4 items). Conclusions Successful detection and management of MCI in primary care in China requires a dedicated and competent workforce of general practitioners, as well as the engagement of patients and family caregivers. Adequate support from healthcare organizations, health system arrangements, and the broader society is needed to enable effective interactions between general practitioners and patients and efficient delivery of the services required to detect and manage MCI.
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Affiliation(s)
- Yuan Lu
- Department of General Practice, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
- Academic Department of General Practice, Tongji University School of Medicine, Shanghai, China
- Shanghai General Practice and Community Health Development Research Center, Shanghai, China
| | - Chaojie Liu
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - Dehua Yu
- Department of General Practice, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
- Academic Department of General Practice, Tongji University School of Medicine, Shanghai, China
- Shanghai General Practice and Community Health Development Research Center, Shanghai, China
| | - Yvonne Wells
- Lincoln Center for Research on Aging, La Trobe University, Melbourne, VIC, Australia
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Lu Y, Liu C, Wells Y, Yu D. Challenges in detecting and managing mild cognitive impairment in primary care: a focus group study in Shanghai, China. BMJ Open 2022; 12:e062240. [PMID: 36127116 PMCID: PMC9490618 DOI: 10.1136/bmjopen-2022-062240] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Detection of mild cognitive impairment (MCI) is essential in slowing progression to dementia. Primary care plays a vital role in detecting and managing MCI. The chronic care model (CCM) provides effective methods to manage chronic diseases. OBJECTIVE This study aimed to explore how MCI services are delivered in primary care in China. METHODS Focus group interviews were conducted face to face among MCI stakeholders from six community health centres (CHCs) involved in the 'friendly community programme' in Shanghai, China. A total of 124 MCI stakeholders were interviewed, consisting of 6 groups (n=42) of general practitioners (GPs), 3 groups (n=18) of CHC managers, 4 groups (n=32) of people with MCI and 4 groups (n=32) of informal caregivers. Content and thematic analyses were performed using a combination of induction and deduction approaches. RESULTS Three major themes emerged from the data corresponding to the CCM framework: hesitant patients, unprepared providers and misaligned environments. While the public are hesitant to seek medical attention for MCI problems, due to misunderstanding, social stigma and a lack of perceived benefits, GPs and CHCs are not well prepared either, due to lack of knowledge and a shortage of GPs, and a lack of policy, funding and information support. None of these issues can be addressed separately without tackling the others. CONCLUSION This study combined the diverse perceptions of all the main stakeholders to detect and manage MCI in primary care settings in China. A vicious circle was found among the three interconnected CCM domains, creating a gridlock that should be addressed through a system's approach targeting all of the above-mentioned aspects.
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Affiliation(s)
- Yuan Lu
- Department of General Practice, Tongji University Affiliated Yangpu Hospital, Shanghai, China
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Chaojie Liu
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Yvonne Wells
- School of Nursing and Midwifery, La Trobe University, Melbourne, Victoria, Australia
| | - Dehua Yu
- Department of General Practice, Tongji University Affiliated Yangpu Hospital, Shanghai, China
- Shanghai General Practice and Community Health Development Research Center, Shanghai, China
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A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159233. [PMID: 35954587 PMCID: PMC9368072 DOI: 10.3390/ijerph19159233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/22/2022] [Accepted: 07/27/2022] [Indexed: 11/28/2022]
Abstract
Neurological physiotherapy adopts a problem-based approach for each patient as determined by a thorough evaluation of the patient’s physical and mental well-being. Τhis work aims to provide a literature review of physical therapy interventions in the elderly with neurological diseases (NDs) and discuss physiotherapy procedures and methods that utilize cutting-edge technologies for which clinical studies are available. Hence, the review focuses on acute NDs (stroke), deteriorating NDs (Parkinson’s disease), and age-related cognitive impairment. The most used physiotherapy procedures on which clinical data are available are balance and gait training (robot-assisted or not), occupational therapy, classical physiotherapy, walking and treadmill training, and upper limb robot-assisted therapy. Respectively, the most often-used equipment are types of treadmills, robotic-assisted equipment (Lokomat® and Gait Trainer GT1), and portable walkway systems (GAITRite®), along with state-of-the-art technologies of virtual reality, virtual assistants, and smartphones. The findings of this work summarize the core standard tools and procedures, but more importantly, provide a glimpse of the new era in physiotherapy with the utilization of innovative equipment tools for advanced patient monitoring and empowerment.
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Lee S, Kim D, Lee H. Examine Race/Ethnicity Disparities in Perception, Intention, and Screening of Dementia in a Community Setting: Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148865. [PMID: 35886711 PMCID: PMC9321249 DOI: 10.3390/ijerph19148865] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/07/2022] [Accepted: 07/14/2022] [Indexed: 12/24/2022]
Abstract
Background: Delayed detection and diagnosis of Alzheimer’s Disease and related dementia (ADRD) can lead to suboptimal care and socioeconomic burdens on individuals, families, and communities. Our objective is to investigate dementia screening behavior focusing on minority older populations and assess whether there are ethnic differences in ADRD screening behavior. Methods: The scoping review method was utilized to examine ADRD screening behavior and contributing factors for missed and delayed screening/diagnosis focusing on race/ethnicity. Results: 2288 papers were identified, of which 21 met the inclusion criteria. We identified six dimensions of ADRD screening behavior: Noticing Symptoms, Recognizing a problem, Accepting Screen, Intending Screen, Action, and Integrating with time. Final findings were organized into study race/ethnicity, theoretical background, the methods of quantitative and qualitative studies, description and measures of ADRD screening behavior, and racial/ethnic differences in ADRD screening behavior. Conclusions: A trend in ethnic disparities in screening for ADRD was observed. Our findings point to the fact that there is a scarcity of studies focusing on describing ethnic-specific ADRD screening behavior as well as a lack of those examining the impact of ethnicity on ADRD screening behavior, especially studies where Asian Americans are almost invisible.
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Soelter TM, Whitlock JH, Williams AS, Hardigan AA, Lasseigne BN. Nucleic acid liquid biopsies in Alzheimer's disease: current state, challenges, and opportunities. Heliyon 2022; 8:e09239. [PMID: 35469332 PMCID: PMC9034064 DOI: 10.1016/j.heliyon.2022.e09239] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/25/2021] [Accepted: 03/30/2022] [Indexed: 11/29/2022] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease and affects persons of all races, ethnic groups, and sexes. The disease is characterized by neuronal loss leading to cognitive decline and memory loss. There is no cure and the effectiveness of existing treatments is limited and depends on the time of diagnosis. The long prodromal period, during which patients' ability to live a normal life is not affected despite neuronal loss, often leads to a delayed diagnosis because it can be mistaken for normal aging of the brain. In order to make a substantial impact on AD patient survival, early diagnosis may provide a greater therapeutic window for future therapies to slow AD-associated neurodegeneration. Current gold standards for disease detection include magnetic resonance imaging and positron emission tomography scans, which visualize amyloid β and phosphorylated tau depositions and aggregates. Liquid biopsies, already an active field of research in precision oncology, are hypothesized to provide early disease detection through minimally or non-invasive sample collection techniques. Liquid biopsies in AD have been studied in cerebrospinal fluid, blood, ocular, oral, and olfactory fluids. However, most of the focus has been on blood and cerebrospinal fluid due to biomarker specificity and sensitivity attributed to the effects of the blood-brain barrier and inter-laboratory variation during sample collection. Many studies have identified amyloid β and phosphorylated tau levels as putative biomarkers, however, advances in next-generation sequencing-based liquid biopsy methods have led to significant interest in identifying nucleic acid species associated with AD from liquid tissues. Differences in cell-free RNAs and DNAs have been described as potential biomarkers for AD and hold the potential to affect disease diagnosis, treatment, and future research avenues.
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Affiliation(s)
- Tabea M. Soelter
- Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, AL, USA
| | - Jordan H. Whitlock
- Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, AL, USA
| | - Avery S. Williams
- Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, AL, USA
| | - Andrew A. Hardigan
- Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, AL, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Brittany N. Lasseigne
- Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, AL, USA
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11
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Bandini JI, Schulson LB, Ahluwalia SC, Harrison J, Chen EK, Lai JS, Edelen M. Patient, Family Caregiver, and Provider Perceptions on Self-Assessment Screening for Cognitive Impairment in Primary Care: Findings From a Qualitative Study. Gerontol Geriatr Med 2022; 8:23337214221131403. [PMID: 36275410 PMCID: PMC9583195 DOI: 10.1177/23337214221131403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/26/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to evaluate patient, family, and provider perspectives on routine cognitive screening of older adults in primary care using a novel self-assessment tool for detection of early cognitive impairment (CI). We conducted four virtual focus groups with patients aged 65 and older with no CI (n = 18) and family caregivers of patients with CI (n = 5) and interviews with primary care providers (n = 11). Patient and family caregiver participants felt that early detection of CI was important in primary care and may facilitate planning for the future including finances, living arrangements, and advance care planning. Providers reported that they do not use a standardized tool to routinely screen patients for CI yet endorsed the use of a self-assessment CI screening tool. These results suggest that routine screening of older adults using a brief, self-assessment screening tool for CI in primary care may be acceptable to patients, family caregivers, and providers. The findings from this study will inform the development of a brief self-assessment CI screening tool for use in primary care.
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Affiliation(s)
| | - Lucy B. Schulson
- RAND Corporation, Boston, MA, USA
- Boston University School of Medicine,
MA, USA
| | | | | | | | - Jin-Shei Lai
- Northwestern University Feinberg School
of Medicine, Chicago, IL, USA
| | - Maria Edelen
- RAND Corporation, Boston, MA, USA
- Brigham and Women’s Hospital, Boston,
MA, USA
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12
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Wiese LK, Williams CL, Hain D, Newman D, Houston CP, Kaack C, Galvin JE. Detecting dementia among older, ethnically diverse residents of rural subsidized housing. Geriatr Nurs 2021; 42:524-532. [PMID: 33039199 PMCID: PMC8024416 DOI: 10.1016/j.gerinurse.2020.09.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/09/2020] [Accepted: 09/11/2020] [Indexed: 02/07/2023]
Abstract
Rural, ethnically diverse residents face at least twice the risk of Alzheimer's disease than urban residents. Chronic diseases such as diabetes and hypertension which increase dementia risk are more prevalent in rural areas with less access to specialty providers. A home-based approach for increasing dementia detection and treatment rates was tested among rural residents of government-assisted independent living facilities (N = 139; 78% non-White, and 70% with health literacy below 5th grade). Of 28 residents identified at risk during cognitive screening, 25 agreed to further in-depth assessment by adult gerontological nurse practitioners (AGNP). Fifteen of 25 (60%) completing consequent primary provider referrals were diagnosed with dementia and receiving new care (statistically significant; [χ2(1) = 76.67, p < .001, Phi = 0.743]). Home-based dementia management through a community engagement approach can help to meet the Healthy People 2030 goals of earlier detection and treatment and reduce the length of costly institutionalizations.
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Affiliation(s)
- Lisa Kirk Wiese
- C. E. Lynn College of Nursing, Florida Atlantic University, 777 Glades Road, Mail Code #84, Boca Raton, FL 33431, United States.
| | - Christine L Williams
- C. E. Lynn College of Nursing, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, United States.
| | - Debra Hain
- C. E. Lynn College of Nursing, Florida Atlantic University, 777 Glades Road, Mail Code #84, Boca Raton, FL 33431, United States.
| | - David Newman
- C. E. Lynn College of Nursing, Florida Atlantic University, 777 Glades Road, Mail Code #84, Boca Raton, FL 33431, United States.
| | - Christina P Houston
- C. E. Lynn College of Nursing, Florida Atlantic University, 777 Glades Road, Mail Code #84, Boca Raton, FL 33431, United States.
| | - Carolina Kaack
- Louis and Anne Green Memory & Wellness Center, 777 Glades Road, Bldg AZ-79, Boca Raton, FL 33431, United States
| | - James E Galvin
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, 5250 University Drive, Coral Gables, FL, United States.
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Ejaz HW, Wang W, Lang M. Copper Toxicity Links to Pathogenesis of Alzheimer's Disease and Therapeutics Approaches. Int J Mol Sci 2020; 21:E7660. [PMID: 33081348 PMCID: PMC7589751 DOI: 10.3390/ijms21207660] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 09/24/2020] [Accepted: 09/29/2020] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease (AD) is an irreversible, age-related progressive neurological disorder, and the most common type of dementia in aged people. Neuropathological lesions of AD are neurofibrillary tangles (NFTs), and senile plaques comprise the accumulated amyloid-beta (Aβ), loaded with metal ions including Cu, Fe, or Zn. Some reports have identified metal dyshomeostasis as a neurotoxic factor of AD, among which Cu ions seem to be a central cationic metal in the formation of plaque and soluble oligomers, and have an essential role in the AD pathology. Cu-Aβ complex catalyzes the generation of reactive oxygen species (ROS) and results in oxidative damage. Several studies have indicated that oxidative stress plays a crucial role in the pathogenesis of AD. The connection of copper levels in AD is still ambiguous, as some researches indicate a Cu deficiency, while others show its higher content in AD, and therefore there is a need to increase and decrease its levels in animal models, respectively, to study which one is the cause. For more than twenty years, many in vitro studies have been devoted to identifying metals' roles in Aβ accumulation, oxidative damage, and neurotoxicity. Towards the end, a short review of the modern therapeutic approach in chelation therapy, with the main focus on Cu ions, is discussed. Despite the lack of strong proofs of clinical advantage so far, the conjecture that using a therapeutic metal chelator is an effective strategy for AD remains popular. However, some recent reports of genetic-regulating copper transporters in AD models have shed light on treating this refractory disease. This review aims to succinctly present a better understanding of Cu ions' current status in several AD features, and some conflicting reports are present herein.
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Affiliation(s)
- Hafza Wajeeha Ejaz
- CAS Center for Excellence in Biotic Interactions, College of Life Science, University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China;
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth WA6027, Australia;
| | - Minglin Lang
- CAS Center for Excellence in Biotic Interactions, College of Life Science, University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China;
- College of Life Science, Agricultural University of Hebei, Baoding 071000, China
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Kamoga R, Rukundo GZ, Wakida EK, Nakidde G, Obua C, Buss SS. Dementia assessment and diagnostic practices of healthcare workers in rural southwestern Uganda: a cross-sectional qualitative study. BMC Health Serv Res 2019; 19:1005. [PMID: 31881885 PMCID: PMC6935120 DOI: 10.1186/s12913-019-4850-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/18/2019] [Indexed: 01/03/2023] Open
Abstract
Background An estimated 50 million people worldwide have Alzheimer’s disease and related dementias (ADRD), and this number is projected to increase with the growth of the aging population, with the largest growth occurring in low and middle-income countries. Diagnostic coverage for dementia is estimated to be only 5–10% in low- and middle-income countries. Timely diagnosis of ADRD could prompt early access to information, medical treatments, and support for caregivers. The aim of this study was to assess how healthcare workers in rural southwestern Uganda assess for and diagnose ADRD. Methods We used in-depth interviews to investigate the medical knowledge and clinical practices surrounding ADRD diagnoses among 42 healthcare workers employed at mid-tier health facilities in southwestern Uganda. Qualitative content analysis was used to identify distinct categories and themes. Results Our findings show that healthcare workers without specific mental health training assessed and diagnosed dementia based on history and physical examination alone. On the other hand, healthcare workers with some specialized training in mental health were more likely to use neuropsychological tests, blood tests, urine tests, and brain imaging in the diagnosis of dementia. Collateral history from caregivers was noted to be very important in proper assessment and diagnosis of dementia among all categories of healthcare workers. The majority of healthcare workers regarded memory loss as part of the normal aging process and reported that it does not need any specific treatment. Other healthcare workers could recognize signs and symptoms of dementia, but focused on managing other medical problems at the expense of assessing cognitive decline and mental health. Diagnostic practices did not differ based on age, years of experience, or gender of the healthcare workers. Conclusion These results indicate that specialized training in mental health among healthcare workers is crucial for the assessment and diagnosis of ADRD in rural southwestern Uganda.
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Affiliation(s)
- Ronald Kamoga
- Mbarara Alzheimer's and Related Dementias Research Initiative (MADRI) fellow, Department of Anatomy, Faculty of Medicine Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
| | - Godfrey Z Rukundo
- Department of Psychiatry, Faculty of Medicine, Mbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda
| | - Edith K Wakida
- Office of Research Administration, Faculty of Medicine, Mbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda
| | - Gladys Nakidde
- Department of Nursing, Faculty of Applied Science, Bishop Stuart University, P. O. Box 09, Mbarara, Uganda
| | - Celestino Obua
- Department of Pharmacology, Mbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda
| | - Stephanie S Buss
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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