Literature DB >> 17508106

Attrition in geriatric research: how important is it and how should it be dealt with?

V Gardette1, N Coley, O Toulza, S Andrieu.   

Abstract

Attrition, defined as a total loss to follow-up of participants, is a potential major bias in clinical trials. Participants can be lost for many reasons (death, illness, worsened health, refusal, withdrawal, lost to follow up). Attrition may be higher in older populations, so geriatric researchers should pay particular attention to the difficulties it raises. For a proper interpretation of research findings, a detailed analysis of the type of attrition observed and its possible determinants is essential, to determine if attrition has occurred at random or if it is associated to certain patient or treatment characteristics. This paper aims to review different causes of attrition, its prevalence among studies in different elderly populations, and its consequences on research findings. In addition, strategies used to minimise attrition (tracking, bonding, incentives) are discussed, and methods proposed to take this phenomenon into account are proposed.

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Year:  2007        PMID: 17508106

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  9 in total

1.  Older participant perspectives on permanent study drug discontinuation in an ongoing primary prevention trial of statins.

Authors:  Zhen Zhou; Kim Jose; Andrea J Curtis; Alissia Kost; Monique Breslin; Sophia Zoungas; Mark R Nelson
Journal:  Eur J Clin Pharmacol       Date:  2021-01-07       Impact factor: 2.953

2.  Research Attitudes Questionnaire scores predict Alzheimer's disease clinical trial dropout.

Authors:  Shana D Stites; R Scott Turner; Jeanine Gill; Anna Gurian; Jason Karlawish; Joshua D Grill
Journal:  Clin Trials       Date:  2021-01-10       Impact factor: 2.486

Review 3.  Sample size calculation of clinical trials in geriatric medicine.

Authors:  Graziella D'Arrigo; Stefanos Roumeliotis; Claudia Torino; Giovanni Tripepi
Journal:  Aging Clin Exp Res       Date:  2020-05-26       Impact factor: 3.636

4.  Characteristics of participants consenting versus declining follow-up for up to 10 years in a randomized clinical trial.

Authors:  Alice J Sheffet; Jenifer H Voeks; Ariane Mackey; William Brooks; Wayne M Clark; Michael D Hill; Virginia J Howard; Susan E Hughes; MeeLee Tom; Mary E Longbottom; Thomas G Brott
Journal:  Clin Trials       Date:  2015-06-29       Impact factor: 2.486

5.  Persistent use of analgesic medications in mild-to-moderate Alzheimer's disease.

Authors:  Adeline Gallini; Virginie Gardette; Bruno Vellas; Maryse Lapeyre-Mestre; Sandrine Andrieu; Christine Brefel-Courbon
Journal:  Drugs Aging       Date:  2013-06       Impact factor: 3.923

6.  Effects of Integrated Telehealth-Delivered Cognitive-Behavioral Therapy for Depression and Insomnia in Rural Older Adults.

Authors:  Forrest Scogin; Kenneth Lichstein; Elizabeth A DiNapoli; Julie Woosley; S Justin Thomas; Michael A LaRocca; Haley D Byers; Lisa Mieskowski; Christina Pierpaoli Parker; Xin Yang; Jason Parton; Anna McFadden; James D Geyer
Journal:  J Psychother Integr       Date:  2018-09

7.  Occlusal problems, mental health issues and non-carious cervical lesions.

Authors:  Bruna L Nascimento; Alexandre R Vieira; Mariana Bezamat; Sergio A Ignácio; Evelise M Souza
Journal:  Odontology       Date:  2021-09-27       Impact factor: 2.634

Review 8.  Experience and challenges from clinical trials with malaria vaccines in Africa.

Authors:  Grace Mwangoka; Bernhards Ogutu; Beverly Msambichaka; Tutu Mzee; Nahya Salim; Shubis Kafuruki; Maxmillian Mpina; Seif Shekalaghe; Marcel Tanner; Salim Abdulla
Journal:  Malar J       Date:  2013-03-04       Impact factor: 2.979

9.  Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country.

Authors:  Patrick Lazarevič; Martina Brandt
Journal:  Soc Sci Med       Date:  2020-03-17       Impact factor: 4.634

  9 in total

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