Literature DB >> 29439325

Prediction and Early Detection of Alzheimer's Dementia: Professional Disclosure Practices and Ethical Attitudes.

Mark Schweda1, Anna Kögel1, Claudia Bartels2, Jens Wiltfang2,3,4, Anja Schneider5,6, Silke Schicktanz1.   

Abstract

BACKGROUND: Biomarker-supported testing for preclinical and prodromal Alzheimer's disease (AD) finds its way into clinical practice. Professional attitudes and practices regarding disclosure and ethical issues are controversial in many countries.
OBJECTIVES: Against this background, the objective was to survey the actual practice and the attitudes of physicians in German hospitals and memory clinics in order to explore possible practical insecurities and ethical concerns.
METHODS: A detailed survey with 37 items was conducted among medical professionals at German hospitals and memory clinics (n = 108). Analyses were performed using SPSS 21.0 (IBM). Findings were based on frequency and percentage distribution.
RESULTS: Nearly half of the respondents stated that persons with mild cognitive impairment and pathological cerebrospinal fluid biomarkers were informed they had or would soon develop AD. While 81% acknowledged a 'right not to know', 75% said that results were always communicated. A majority agreed there was a benefit of prediction or later life planning [end-of-life, financial, family, housing (73-75%)] but also expected high psychological stress (82%) and self-stigmatization (70%) for those tested.
CONCLUSIONS: There is considerable heterogeneity and insecurity regarding prediction and early detection in the context of AD in Germany. Information of professionals and standardization of professional testing and disclosure practices are needed.

Entities:  

Keywords:  Alzheimer’s disease; Germany; dementia; disclosure; ethics; questionnaires; surveys

Mesh:

Substances:

Year:  2018        PMID: 29439325     DOI: 10.3233/JAD-170443

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  5 in total

1.  Ethical and social implications of using predictive modeling for Alzheimer's disease prevention: a systematic literature review protocol.

Authors:  Zuzanna Angehrn; Clementine Nordon; Andrew Turner; Dianne Gove; Helene Karcher; Alexander Keenan; Monika Neumann; Jelena Sostar; Frederic de Reydet de Vulpillieres
Journal:  BMJ Open       Date:  2019-03-03       Impact factor: 2.692

2.  Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case-control study using electronic primary care records.

Authors:  Elizabeth Ford; Joanne Sheppard; Seb Oliver; Philip Rooney; Sube Banerjee; Jackie A Cassell
Journal:  BMJ Open       Date:  2021-01-22       Impact factor: 2.692

3.  Ethical Implications of Alzheimer's Disease Prediction in Asymptomatic Individuals through Artificial Intelligence.

Authors:  Frank Ursin; Cristian Timmermann; Florian Steger
Journal:  Diagnostics (Basel)       Date:  2021-03-04

4.  Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners.

Authors:  Elizabeth Ford; Natalie Edelman; Laura Somers; Duncan Shrewsbury; Marcela Lopez Levy; Harm van Marwijk; Vasa Curcin; Talya Porat
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-21       Impact factor: 2.796

5.  Addressing ethical challenges of disclosure in dementia prediction: limitations of current guidelines and suggestions to proceed.

Authors:  Zümrüt Alpinar-Sencan; Silke Schicktanz
Journal:  BMC Med Ethics       Date:  2020-05-11       Impact factor: 2.652

  5 in total

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