RESUMO Na África Subsaariana (ASS), a triagem cognitiva é complicada por fatores culturais e educacionais, além dos valores normativos existentes poderem não ser aplicáveis. O rastreio cognitivo Identification of Dementia in Elderly Africans (IDEA) é uma medida para níveis baixos de alfabetização com boa acurácia diagnóstica para demência. Objetivo: Relatar os valores normativos para a IDEA e outras medidas simples (fluência verbal categórica, a lista de 10 palavras do Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) em idosos residentes na comunidade, representativos da ASS. Métodos: Indivíduos com idade ≥60 residentes em 12 comunidades representativas em Kilimanjaro, Tanzânia e indivíduos com idade ≥65 anos residentes em três comunidades na área governamental de Akinyele, Estado de Oyo, Nigéria, foram submetidos à triagem cognitiva. Os dados normativos foram gerados por faixas etárias, sexo e escolaridade. Resultados: Um total de 3.011 pessoas na Tanzânia (57,3% mulheres, 26,4% sem educação) e 1.117 na Nigéria (60,3% mulheres, 64,5% sem educação) foram examinadas. Os indivíduos com idade mais alta, menor escolaridade e mulheres obtiveram escores mais baixos. Os valores do percentil 50 para a IDEA foram 13 (60–64 anos) vs. 8/9 (85+ anos), 10–11 para analfabetos vs. 13 com educação primária e 11/12 em mulheres vs. 13 em homens. Os valores normativos para a evocação tardia da lista de 10 palavras e a fluência verbal categórica variaram com a educação (evocação tardia 2,8 (SD 1,7) para os sem educação, vs. 4,2 (SD 1,2) para com educação secundária; fluência verbal 9,2 (DP 4,8) para os sem educação vs. 12,2 (SD 4.3) para os com ensino médio, substancialmente inferior aos valores publicados em países de alta renda. Conclusões: Os valores de corte para testes de triagem cognitiva comumente usados devem ser ajustados para se adequar aos valores normativos locais, particularmente em níveis baixos de educação.

ABSTRACT In sub-Saharan Africa (SSA),cognitive screening is complicated by both cultural and educational factors, and the existing normative values may not be applicable. The Identification of Dementia in Elderly Africans (IDEA) cognitive screen is a low-literacy measure with good diagnostic accuracy for dementia. Objective: The aim of this study is to report normative values for IDEA and other simple measures [i.e., categorical verbal fluency, the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) 10-word list] in representative community-dwelling older adults in SSA. Methods: Individuals aged ≥60 years resident in 12 representative villages in Kilimanjaro, Tanzania and individuals aged ≥65 years resident within three communities in Akinyele Local Government Area, Oyo State, Nigeria underwent cognitive screening. The normative data were generated by the categories of age, sex, and education. Results: A total of 3,011 people in Tanzania (i.e., 57.3% females and 26.4% uneducated) and 1,117 in Nigeria (i.e., 60.3% females and 64.5% uneducated) were screened. Individuals with higher age, lower education, and female gender obtained lower scores. The 50th decile values for IDEA were 13 (60–64 years) vs. 8/9 (above 85 years), 10–11 uneducated vs. 13 primary educated, and 11/12 in females vs. 13 in males. The normative values for 10-word list delayed recall and categorical verbal fluency varied with education [i.e., delayed recall mean 2.8 [standard deviation (SD) 1.7] uneducated vs. 4.2 (SD 1.2) secondary educated; verbal fluency mean 9.2 (SD 4.8) uneducated vs. 12.2 (SD 4.3) secondary educated], substantially lower than published high-income country values. Conclusions: The cut-off values for commonly used cognitive screening items should be adjusted to suit local normative values, particularly where there are lower levels of education.

BACKGROUND: Big data analytics (BDA) offers a frontier of opportunities across all industries enabling improvements in marketing, customer service and product development. The adoption process for BDA is often challenging for organisations, given the complexities associated with it. OBJECTIVE: The objective of this study was hence to understand factors that influence the BDA adoption process in organisations. The technology-organisation-environment framework was combined with factors from a Big Data Adoption model and used as a foundation for the study. METHOD: A case study research strategy was performed on a large telecommunication organisation. Themes were identified which provided rich explanations into the factors influencing the BDA adoption process in organisations. RESULTS: Five technological factors were confirmed to influence the BDA adoption process. These were: (1) relative advantage, (2) complexity, (3) compatibility, (4) trialability and (5) data quality. Four organisational factors were confirmed to influence the BDA adoption process. These were: (1) top management support, (2) human resource expertise, (3) business and information technology (IT) alignment and (4) organisation size. Five environmental factors were confirmed to influence the BDA adoption process. These were: (1) competitive pressure, (2) data privacy, (3) vendor support, (4) IT fashion and (5) regulatory requirements. Two factors were confirmed as influencing an organisations' ability to move from intention to adopt BDA to actual deployment. These were: (1) complexity tolerance and (2) paradigm shifts. CONCLUSION: This study provided evidence that organisations that have a high tolerance for complexity are more likely to move rapidly from intention to adopt BDA to actual deployment and effectively reduce the deployment gap.

RESUMO A maioria das pessoas com demência no mundo vivem em países em desenvolvimento. Estudos realizados em países desenvolvidos têm relatado uma associação entre baixa escolaridade e demência, onde os níveis de alfabetização e educação são frequentemente muito mais baixos. Neste estudo avaliou-se a associação entre a educação e a prevalência de demência em um cenário rural da Tanzânia. Métodos: Na fase I, 1.198 indivíduos com 70 anos ou mais foram avaliados utilizando o Instrumento de Rastreamento Comunitário para Demência (CSI-D). Na Fase II uma amostra estratificada dos pacientes avaliados na fase I foram totalmente avaliados e um diagnóstico clínico baseado em critérios do DSM-IV foi feito quando necessário. Resultados: A mediana do escore cognitivo no CSI-D foi de 25,7 (IQR 22,7-28,0) para o sexo feminino e 27,7 (IQR 25,7-29,4) para o sexo masculino. Esta diferença foi significativa (U=117770,0, z= -9,880, p <0,001). Em ambos os sexos, masculino e feminino a pontuação cognitiva menor no CSI-D foi significativamente associada com ausência de educação formal (U=34866,5, z= -6,688, p <0,001, para as mulheres;U=20757,0, z= -6,278, p<0.001, para o sexo masculino). Após o ajuste para o efeito da idade, ausência de educação formal foi significativamente associada com maiores chances de ter provável demência pelo CSI-D, como foi para o analfabetismo. Entre os entrevistados na fase II, não houve diferença significativa na alfabetização ou de educação entre aqueles com ou sem diagnóstico de demência do DSM-IV . Conclusão: Nesta população da Tanzânia rural, encontramos uma significativa associação entre baixos níveis de educação e demência pelo CSI-D. Esta relação não foi significativa em casos que preencheram os critérios do DSM-IV para demência.

ABSTRACT The majority of people with dementia worldwide live in developing countries. Studies from the developed world have reported an association between lower educational attainment and dementia, but there are few data from the developing world where literacy and educational levels are frequently much lower. In this study we assessed the association between education and dementia prevalence in a rural Tanzanian setting. Methods: In phase I, 1198 individuals aged 70 and over were assessed using the Community Screening Instrument for Dementia (CSI-D). In phase Ii a stratified sample of those seen in phase I were fully assessed and a clinical diagnosis based on DSM-IV criteria was made where appropriate. Information regarding literacy, highest attained educational level and occupation were also collected. Results: The median subject cognitive score on the CSI-D was 25.7 (IQR 22.7 to 28.0) for females and 27.7 (IQR 25.7 to 29.4) for males. This difference was significant (U=117770.0, z= -9.880, p<0.001). In both males and females a lower CSI-D subject cognitive score was significantly associated with having had no formal education (U=34866.5, z= -6.688, p<0.001, for females; U=20757.0, z= -6.278, p<0.001, for males). After adjusting for the effect of age, having no formal education was significantly associated with greater odds of having 'probable dementia' by CSI-D, as was illiteracy. Amongst those interviewed in phase II, there was no significant difference in literacy or education between those with diagnosed DSM-IV dementia and those without. Conclusion: In this rural Tanzanian population, we found a significant association between low levels of education and dementia by CSI-D. This relationship was not significant in cases meeting DSM-IV criteria for dementia.

OBJECTIVES: We aimed to establish the pathological types of stroke in two incident populations in Tanzania, one rural and one urban, and to examine the clinical utility of the Siriraj and Allen scores in identifying stroke sub-types. DESIGN: This prospective community-based study identified cases as part of a stroke incidence study. Each patient underwent a full assessment including recording demographic information, taking a medical and drug history, and physical examination. A computed tomography (CT) head scan was used to classify strokes as resulting from a cerebral haemorrhage or ischaemia. The results were compared with the Siriraj and Allen scores, obtained from clinical findings. RESULTS: One hundred and thirty-two incident stroke cases were identified in the rural Hai demographic surveillance site (DSS) and 69 in the urban Dar-es-Salaam DSS; 63 patients with stroke due to ischaemia or cerebral haemorrhage from Hai and 17 from Dares- Salaam had a CT scan within 15 days of the stroke. Stroke was identified as due to ischaemia in 52 cases (82.5%) and to cerebral haemorrhage in 11 (17.5%) in Hai, and as due to ischaemia in 14 cases (82.4%) and to cerebral haemorrhage in 3 (17.6%) in Dar-es- Salaam. In both sites Siriraj and Allen scores were found to be of little value in predicting stroke sub-type. CONCLUSIONS: The ratio of ischaemic to haemorrhagic stroke is much higher in our cohort than previously reported in sub-Saharan Africa, and is closer to that in high-income countries.