scholarly journals Patient and caregiver perspectives on a tool to increase recognition of undiagnosed dementia: a qualitative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lorella Palazzo ◽  
Clarissa Hsu ◽  
Deborah E. Barnes ◽  
Marlaine Figueroa Gray ◽  
Mikael Anne Greenwood-Hickman ◽  
...  

Abstract Background Early detection of dementia may improve patient care and quality of life, yet up to half of people with dementia are undiagnosed. Electronic health record (EHR) data could be used to help identify individuals at risk of having undiagnosed dementia for outreach and assessment, but acceptability to people with dementia and caregivers is unknown. Methods We conducted five focus groups at Kaiser Permanente Washington (KPWA), an integrated healthcare system in Washington State, to explore people’s feelings about timing of dementia diagnosis, use of EHR-based tools to predict risk of undiagnosed dementia, and communication about risk. We recruited people enrolled in KPWA who had dementia or mild cognitive impairment, people enrolled in KPWA who had neither diagnosis, and caregivers (i.e., loved ones of people with dementia who assist with various tasks of daily life). People who were non-white or Hispanic were oversampled. Two team members analyzed transcripts using thematic coding. Results Forty people (63% women; 59% non-white or Hispanic) participated in the focus groups. Themes that arose included: perceived pros and cons of early dementia diagnosis; questions and concerns about a potential tool to assess risk of undiagnosed dementia; and preferences related to patient-provider conversations disclosing that a person was at high risk to have undiagnosed dementia. Participants supported early diagnosis, describing benefits such as time to adjust to the disease, plan, involve caregivers, and identify resources. They also acknowledged the possible psychosocial toll of receiving the diagnosis. Participants supported use of an EHR-based tool, but some people worried about accuracy and privacy. Participants emphasized that information about risk of undiagnosed dementia should be communicated thoughtfully by a trusted provider and that the conversation should include advice about prognosis, treatment options and other resources when a new dementia diagnosis was made. Conclusion People with dementia or mild cognitive impairment, people with neither diagnosis, and caregivers of people with dementia supported using EHR-based tools to help identify individuals at risk of having undiagnosed dementia. Such tools must be implemented carefully to address concerns and ensure that people living with dementia and their caregivers are adequately supported.

2021 ◽  
Author(s):  
Lorella Palazzo ◽  
Clarissa Hsu ◽  
Deborah Barnes ◽  
Marlaine Figueroa-Gray ◽  
Mikael Anne Greenwood-Hickman ◽  
...  

Abstract BACKGROUND Early detection of dementia may improve patient care and quality of life, yet as many as half of patients are undiagnosed. Electronic health record (EHR) data could potentially be used to help to identify patients at risk of having undiagnosed dementia who could be targeted for outreach and assessment, but acceptability to patients and caregivers is unknown. METHOD We conducted five focus groups at Kaiser Permanente Washington, an integrated healthcare system in Washington State, to explore feelings about timing of dementia diagnosis, use of EHR-33 based tools to predict risk of undiagnosed dementia, and communication about risk. Two team members analyzed transcripts using inductive thematic coding. RESULTS Participant groups included: patients with dementia or mild cognitive impairment, patients with neither diagnosis, and caregivers. People who were non-white or Hispanic were oversampled. Forty patients and caregivers (63% women; 59% non-white/Hispanic) participated in focus 39 groups. Participants supported early diagnosis, describing benefits such as time to adjust to the disease, plan, involve caregivers, and identify resources. They also acknowledged the possible psychosocial toll of receiving the diagnosis. Participants also supported use of an EHR-based tool, but some worried about accuracy and privacy. Participants emphasized that information about dementia risk should be communicated thoughtfully by a trusted provider and should include advice about prognosis, treatment options and other resources. CONCLUSION Overall, patients and caregivers supported using EHR-based tools to help identify patients at risk of having undiagnosed dementia. Such tools must be implemented carefully to address concerns and ensure patients and caregivers are adequately supported.


2009 ◽  
Vol 21 (1-2) ◽  
pp. 3-12 ◽  
Author(s):  
Christine Fennema-Notestine ◽  
Linda K. McEvoy ◽  
Donald J. Hagler ◽  
Mark W. Jacobson ◽  
Anders M. Dale ◽  
...  

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal, cingulate, parietal and midfrontal areas may facilitate the assessment of a treatment's ability to halt the progressive structural loss that accompanies clinical decline in MCI. The performance of prediction is likely to continue to improve with the incorporation of measures from other neuroimaging modalities, clinical assessments, and neuromedical biomarkers, as the regional profile of individuals at risk for progression is refined.


2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Pooja Rai ◽  
Tara Singh ◽  
Indramani L. Singh ◽  
Trayambak Tiwari ◽  
Deepika Joshi

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaoping Lin ◽  
Kasey Wallis ◽  
Stephanie A. Ward ◽  
Henry Brodaty ◽  
Perminder S. Sachdev ◽  
...  

Abstract Background Dementia was identified as a priority area for the development of a Clinical Quality Registry (CQR) in Australia in 2016. The Australian Dementia Network (ADNeT) Registry is being established as part of the ADNeT initiative, with the primary objective of collecting data to monitor and enhance the quality of care and patient outcomes for people diagnosed with either dementia or Mild Cognitive Impairment (MCI). A secondary aim is to facilitate the recruitment of participants into dementia research and trials. This paper describes the Registry protocol. Methods The ADNeT Registry is a prospective CQR of patients newly diagnosed with either dementia or MCI. Eligible patients will be identified initially from memory clinics and individual medical specialists (e.g., geriatricians, psychiatrists and neurologists) involved in the diagnosis of dementia. Participants will be recruited using either an opt-out approach or waiver of consent based on three key determinants (capacity, person responsible, and communication of diagnosis). Data will be collected from four sources: participating sites, registry participants, carers, and linkage with administrative datasets. It is anticipated that the Registry will recruit approximately 10,000 participants by the end of 2023. The ADNeT registry will be developed and implemented to comply with the national operating principles for CQRs and governed by the ADNeT Registry Steering Committee. Discussion The ADNeT Registry will provide important data on current clinical practice in the diagnosis, treatment and care of people with dementia and MCI in Australia as well as long-term outcomes among these people. These data will help to identify variations in clinical practice and patient outcomes and reasons underlying these variations, which in turn, will inform the development of interventions to improve care and outcomes for people with dementia and MCI.


2008 ◽  
Vol 23 (11) ◽  
pp. 1103-1109 ◽  
Author(s):  
Pierre Missotten ◽  
Gilles Squelard ◽  
Michel Ylieff ◽  
David Di Notte ◽  
Louis Paquay ◽  
...  

2009 ◽  
Vol 6 (4) ◽  
pp. 341-346 ◽  
Author(s):  
John Ringman ◽  
Luis Medina ◽  
Yaneth Rodriguez-Agudelo ◽  
Mireya Chavez ◽  
Po Lu ◽  
...  

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