Screening for Instrumental Activities of Daily Living in Sub-Saharan Africa: A Balance Between Task Shifting, Simplicity, Brevity, and Training

Citation: 
Lydia Stone, MBBS1, Jessica Heward, MBBS1, Stella-Maria Paddick, PhD2, 3, Catherine L. Dotchin, MD2, 4, Richard W. Walker, MD2, 4, Cecilia Collingwood, MBBS1, Jessica Thornton, MBBS2, Vanessa Yarwood, MBBS2, Judith McCartney, MBBS2, Charlotte Irwin, MBBS2, Sarah Mkenda, MSc5, John Kissima, BSc6, Bernadette Swai, MBBS6, William K. Gray, PhD2 1The Medical School, Newcastle University, Newcastle upon Tyne, United Kingdom 2Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, United Kingdom 3Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom 4Institute of Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom 5Kilimanjaro Christian Medical University College, Moshi, Tanzania 6Hai District Medical Centre, Boman’gombe, Kilimanjaro Region, Tanzania
Publication year: 
2018

Background:

Task shifting has been suggested as one way to help manage the increasing burden of dementia in sub-Saharan Africa (SSA). However, brief, easy-to-use and valid screening tools are needed to support this approach. Our team has developed an 11-item questionnaire to assess instrumental activities of daily living (IADLs) in SSA, the Identification and Intervention for Dementia in Elderly Africans (IDEA)-IADL questionnaire. We aimed to externally validate the questionnaire and develop a shorter, more efficient version.

 


Methods:

A community-based sample of 329 older adults in 4 rural villages was screened for dementia using the validated IDEA cognitive screen and the 11-item IDEA-IADL questionnaire. A stratified sample was assessed for Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) dementia by a United Kingdom-based doctor, who was blinded to the results of screening. Area under the receiver operating characteristic (AUROC) curve analysis was used to assess validity, and factor analysis and regression modeling were used to develop a shorter version of the questionnaire.

 


Results:

A 3-item IDEA-IADL questionnaire was developed and externally validated in the study sample. The questionnaire was deemed to be valid and enhanced screening performance in 2 villages (AUROC: 0.857 and 0.895) but detracted from the accuracy of the IDEA cognitive screen in the other 2 villages (AUROC: 0.591 and 0.639). These differences appeared to be due to differences in interpretation of responses to questions by the assessors.


Conclusions:

A brief IDEA-IADLs scale was developed and worked well in some villages. However, our study highlights a training need if brief screening tools to assess IADLs are to be effectively used by nonspecialists in low-resource settings.