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Descriptive study of cholera-related deaths in communities during Zambias 2023-2024 outbreak: key insights

Por: Mweso · O. · Shula · A. · Sialubanje · C. · Chanda · S. L. · Shinjeka · T. · Mwangilwa · K. · Chirwa · L. · Kabwe · D. · Mwanza · J. · Mbewe · N. · Fwoloshi · S. · Sinyange · N. · Kapina · M. · Gebregiorgis · A. · Shikanga · O. · Mwale · M. · Nyirenda · M. · Lisulo · P. · Chipimo · P. · Mube
Objectives

The study sought to understand the characteristics of community deaths due to cholera in Zambia. We sought to examine the drivers of mortality from cholera among communities in Zambia’s 2023–2024 outbreak.

Design/setting

This is a descriptive study of the characteristics of community deaths due to cholera in three provinces in Zambia. Routine surveillance data collected between 14 October 2023 and 16 April 2024, comprising a national line list of cholera deaths, were used for this study.

Participants

178 participants were included in the study and completed it. All community deaths on the line list were eligible for inclusion. This comprised: deceased individuals whose death was associated with cholera or who met the national cholera case definition (suspected or confirmed); death occurring in the community, en route or on arrival to a health facility prior to admission; and death must have occurred between 14 October 2023 and 16 April 2024. Deceased individuals whose family members could not be traced or did not consent to participate in the interview were excluded.

Primary and secondary outcome measures

The primary outcome was identifying characteristics of cholera-related community deaths. There were no secondary outcomes measured.

Results

Among 178 community deaths due to cholera, the majority were males (61.8%), with the highest mortality in adults aged 35–49 years (22.5%). Over half of the deaths occurred on arrival at healthcare facilities due to delays influenced by socioeconomic barriers. Comorbidities such as HIV/AIDS and hypertension were present in 23% of cases.

Conclusions

The study found that males, death on arrival at healthcare facilities, delays in seeking healthcare and comorbidities such as HIV/AIDS and hypertension were more frequently observed among those who died due to cholera in the community. These findings highlight the need for enhanced early care-seeking behaviours, improved access to timely treatment and targeted interventions for individuals with comorbidities to potentially reduce cholera mortality.

Midlife cognitive testing in Africa: validity of the Harmonised Cognitive Assessment Protocol in the Kenya Life Panel Survey

Por: Gross · A. L. · Duhon · M. · Ochieng · E. · Ikanga · J. N. · Dow · W. H. · Lee · J. · Walker · M. W. · Layvant · M. · Ngugi · A. · Ehrlich · J. R. · Miguel · E. A.
Objectives

Cohort studies of ageing and cognitive decline typically do not begin fielding comprehensive cognitive assessments until older adulthood. However, for identifying preventable dementia risk factors, there is strong value in beginning at earlier ages. The case is especially compelling in sub-Saharan Africa, where the number of older individuals is expected to triple in the next three decades, and where risk factors may operate more intensively at earlier ages. This study reports on the adaptation and validity of the Harmonised Cognitive Assessment Protocol (HCAP) approach in the Kenya Life Panel Survey (KLPS), collected among middle-aged respondents.

Design

To evaluate the validity of the HCAP approach in Kenya, this study assesses model fit statistics from confirmatory factor analyses (CFA) and tests measurement invariance by respondent characteristics.

Setting

Both rural and urban areas in Kenya.

Participants

A sample of n=5878 individuals from the KLPS, who have been surveyed regularly since they were schoolchildren in the 1990s. The HCAP assessment was administered in 2023 at an average age of 37 years (10–90 range 34 to 41).

Primary and secondary outcome measures

For each individual, the CFA generates a general cognitive performance score, and cognitive performance scores for five distinct domains, including memory, executive functioning, language, orientation to time and place, and visuospatial functioning.

Results

Fit of the models to the data was adequate for general cognitive performance (root mean squared error of approximation (RMSEA)=0.03; comparative fit index (CFI)=0.94; standardised root mean residual (SRMR)=0.05), language (RMSEA=0.02; CFI=0.95; SRMR=0.05) and good for memory (RMSEA=0.05; CFI=0.99; SRMR=0.02) and executive functioning (RMSEA=0.03; CFI=0.98; SRMR=0.03). The CFA indicate that the factor structure is consistent with findings from other countries and that reliability for the general cognitive performance score was high. Statistical models also suggest invariance at the scalar level for leading demographic (gender, age) and socioeconomic (education, occupational complexity) characteristics.

Conclusions

This study demonstrates that the cognitive functioning of mid-age Kenyans appears to be well captured by the adapted protocol. While there is a moderate decline in cognitive performance among older individuals, this relationship appears to be mediated by education, indicating that this KLPS HCAP provides a valuable baseline for studying future cognitive decline.

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