Multimorbidity and its socio-economic associations in community-dwelling older adults in rural Tanzania; a cross-sectional study.

OBJECTIVES: This paper aims to describe the prevalence and socio-economic associations with multimorbidity, by both self-report and clinical assessment/screening methods in community-dwelling older people living in rural Tanzania. METHODS: A randomised frailty-weighted sample of non-institutionalised adults aged ≥ 60 years underwent comprehensive geriatric assessment and in-depth assessment. The comprehensive geriatric assessment consisted of a history and focused clinical examination. The in-depth assessment included standardised questionnaires, screening tools and blood pressure measurement. The prevalence of multimorbidity was calculated for self-report and non-self-reported methods (clinician diagnosis, screening tools and direct measurement). Multimorbidity was defined as having two or more conditions. The socio-demographic associations with multimorbidity were investigated by multiple logistic regression. RESULTS: A sample of 235 adults participated in the study, selected from a screened sample of 1207. The median age was 74 years (range 60 to 110 inter-quartile range (IQR) 19) and 136 (57.8%) were women. Adjusting for frailty-weighting, the prevalence of self-reported multimorbidity was 26.1% (95% CI 16.7-35.4), and by clinical assessment/screening was 67.3% (95% CI 57.0-77.5). Adjusting for age, sex, education and frailty status, multimorbidity by self-report increased the odds of being financially dependent on others threefold (OR 3.3 [95% CI 1.4-7.8]), and of a household member reducing their paid employment nearly fourfold (OR 3.8. [95% CI 1.5-9.2]). CONCLUSIONS: Multimorbidity is prevalent in this rural lower-income African setting and is associated with evidence of household financial strain. Multimorbidity prevalence is higher when not reliant on self-reported methods, revealing that many conditions are underdiagnosed and undertreated.

Rationing care by frailty during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic is disproportionately affecting older people and those with underlying comorbidities. Guidelines are needed to help clinicians make decisions regarding appropriate use of limited NHS critical care resources. In response to the pandemic, the National Institute for Health and Care Excellence published guidance that employs the Clinical Frailty Scale (CFS) in a decision-making flowchart to assist clinicians in assessing older individuals' suitability for critical care. This commentary raises some important limitations to this use of the CFS and cautions against the potential for unintended impacts. The COVID-19 pandemic has allowed the widespread implementation of the CFS with limited training or expert oversight. The CFS is primarily being used to assess older individuals' risk of adverse outcome in critical care, and to ration access to care on this basis. While some form of resource allocation strategy is necessary for emergencies, the implementation of this guideline in the absence of significant pressure on resources may reduce the likelihood of older people with frailty, who wish to be considered for critical care, being appropriately considered, and has the potential to reinforce the socio-economic gradient in health. Our incomplete understanding of this novel disease means that there is a need for research investigating the short-term predictive abilities of the CFS on critical care outcomes in COVID-19. Additionally, a review of the impact of stratifying older people by CFS score as a rationing strategy is necessary in order to assess its acceptability to older people as well as its potential for disparate impacts.

A brief frailty screening tool in Tanzania: external validation and refinement of the B-FIT screen.

BACKGROUND: Identifying older people who are most vulnerable to adverse outcomes is important. This is particularly so in low-resource settings, such as those in sub-Saharan Africa (SSA), where access to social and healthcare services is often limited. AIM: To validate and further refine a frailty screening tool for SSA. METHODS: Phase I screening of people aged 60 years and over was conducted using the Brief Frailty Instrument for Tanzania (B-FIT). In phase II, a stratified, frailty-weighed sample was assessed across a range of variables covering cognition, physical function (including continence, mobility, weakness and exhaustion) nutrition, mood, co-morbidity, sensory impairment, polypharmacy, social support and self-rated health. The frailty-weighted sample was also assessed for frailty according to the comprehensive geriatric assessment (CGA), which we used as our 'gold standard' diagnosis. RESULTS: Of 235 people in the frailty-weighted sample, 91 (38.7%) were frail according to CGA, the median age was 73 years and 136 (57.9%) were female. In multivariable modelling, physical disability (Barthel index), cognitive impairment (IDEA cognitive screen), calf circumference, poor distance vision and problems engaging in social activities were found to be associated with frailty. After developing a scoring system, based on regression coefficients, a modified B-FIT screen (B-FIT 2) had an area under the receiver operating characteristic curve of 0.925, a sensitivity of 86.2% and a specificity of 88.8%. DISCUSSION: The inclusion of items assessing nutrition, social support and sensory impairment improved the performance of the B-FIT. CONCLUSIONS: The B-FIT 2 should be externally validated.

Monitoring Walking Activity with Wearable Technology in Rural-dwelling Older Adults in Tanzania: A Feasibility Study Nested within a Frailty Prevalence Study.

BACKGROUND: Older adults with lower levels of activity can be at risk of poor health outcomes. Wearable technology has improved the acceptability and objectivity of measuring activity for older adults in high-income countries. Nevertheless, the technology is under-utilized in low-to-middle income countries. The aim was to explore feasibility, acceptability and utility of wearable technology to measure walking activity in rural-dwelling, older Tanzanians. METHODS: A total of 65 participants (73.9 ± 11.2 years), 36 non-frail and 29 frail, were assessed. Free-living data were recorded for 7 days with an accelerometer on the lower back. Data were analyzed via an automatic cloud-based pipeline: volume, pattern and variability of walking were extracted. Acceptability questionnaires were completed. T-tests were used for comparison between the groups. RESULTS: 59/65 datasets were analyzed. Questionnaires indicated that 15/65 (23.0%) experienced some therapeutic benefit from the accelerometer, 15/65 (23.0%) expected diagnostic benefit; 16/65 (24.6%) experienced symptoms while wearing the accelerometer (e.g. itching). Frail adults walked significantly less, had less variable walking patterns, and had a greater proportion of shorter walking bouts compared to the non-frail. CONCLUSION: This study suggests that important contextual and practical limitations withstanding wearable technology may be feasible for measuring walking activity in older rural-dwelling adults in low-income settings, identifying those with frailty.

The prevalence and characteristics of frailty by frailty phenotype in rural Tanzania.

BACKGROUND: The frailty phenotype is defined by the presence of three from the following five clinical features: weakness, slow walking speed, unintentional weight loss, exhaustion, and low physical activity. It has been widely applied in different research and clinical contexts, including across many low and middle-income countries. However, there is evidence that the operationalisation of each component of the frailty phenotype significantly alters its characteristics and predictive validity, and care is needed when applying the phenotype across settings. The study's objective was to operationalise the frailty phenotype in a rural Tanzanian population of older community-dwelling adults. METHODS: Consenting adults aged ≥60 years, and resident in five randomly selected villages of Hai district Demographic Surveillance Site, were eligible to participate in this cross-sectional study. From a screened sample of 1207 older adults, 235 were randomised and consented to an assessment of their frailty status by the frailty phenotype. Trained research fieldworkers (Tanzanian medical doctors and nurses) carried out measurements and questionnaires at local village centres or at participants' homes. RESULTS: The prevalence of the frailty phenotype, calculated from complete data for 196 participants, was 9.25% (95% CI 4.39-14.12) When missing data were counted as meeting frailty criterion (i.e. missing due to inability to perform an assessment), the prevalence increased to 11.22% (95% CI 7.11-15.32). Frailty by phenotype criteria was more common in older age groups, and was associated with self-assessed poor health and depression symptoms. CONCLUSIONS: Frailty can be successfully estimated using the frailty phenotype, however there are challenges in its operationalisation cross-culturally. Further work is needed to explore the potential clinical application of the frailty phenotype in such settings.

Risk Factors for Delirium in Older Medical Inpatients in Tanzania.

BACKGROUND: The risk factors for prevalent delirium in older hospitalised adults in Sub-Saharan Africa (SSA) remain poorly characterised. METHODS: A total of 510 consecutive admissions of adults aged ≥60 years to acute medical wards of Kilimanjaro Christian Medical Centre in northern Tanzania were recruited. Patients were assessed within 24 h of admission with a risk factor questionnaire, physiological observations, neurocognitive assessment, and informant interview. Delirium and dementia diagnoses were made according to the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM V) and DSM IV respectively, by an expert panel. RESULTS: Being male, current alcohol use, dementia, and physiological markers of illness severity were significant independent risk factors for delirium on multivariable analysis. CONCLUSIONS: The risk factors for prevalent delirium in older medical inpatients in SSA include pre-existing dementia, and are similar to those identified in high-income countries. Our data could help inform the development of a delirium risk stratification tool for older adults in SSA.

Social Vulnerability, Frailty, and Their Association With Mortality in Older Adults Living in Rural Tanzania.

BACKGROUND: Social vulnerability correlates with frailty and is associated with mortality and disability. However, few studies have investigated this relationship outside of high-income country settings. This study aimed to produce and analyze a culturally adapted social vulnerability index (SVI) to investigate the relationship between social vulnerability, frailty, and mortality in older adults in Tanzania. METHODS: An SVI was produced using data from a cohort study investigating frailty in older adults in Tanzania. Variables were selected based on previous SVI studies using the categories established by Andrew et al. from the Canadian Study of Health and Aging, and National Population Health Survey. The SVI distribution was examined and compared with a frailty index (FI) produced from the same sample, using mutually exclusive variables. Cox regression survival analysis was used to investigate the association between social vulnerability, frailty, and mortality. RESULTS: A stratified cohort of 235 individuals were included in the study at baseline, with a mean age of 75.2 (SD 11.5). Twenty-six participants died within the follow-up period, with a mean of 503 days (range: 405-568) following the initial assessment. The SVI had a median score of 0.47 (interquartile range: 0.23, range: 0.14-0.86). Social vulnerability significantly predicted mortality when adjusting for age and gender, but not when also adjusting for frailty. CONCLUSIONS: Social vulnerability can be successfully operationalized and culturally adapted in Tanzania. Social vulnerability is associated with mortality in Tanzania, but not independently of frailty.