Roselyne Akugizibwe

In malaria-endemic areas, adults frequently present with symptoms resembling upper respiratory infections such as fever, cough, and sore throat, complicati

The aim was to analyze the association between specific patterns of multimorbidity and risk of disability in older persons. Data were gathered from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K); 2066 60 + year-old participants living in the community and free from disability at baseline were grouped according to their multimorbidity patterns and followed-up for six years. The association between multimorbidity patterns and disability in basic (ADL) and instrumental (IADL) activities of daily living was examined through multinomial models. Throughout the follow-up, 434 (21.0%) participants developed at least one ADL and 310 (15.0%) at least one IADL. Compared to the unspecific pattern, which included diseases not exceeding their expected prevalence in the total sample, belonging to the cardiovascular/anemia/dementia, the sensory impairment/cancer and the musculoskeletal/respiratory/gastrointestinal patterns was associated with a higher risk of developing both ADL and IADL, whereas subjects in the metabolic/sleep disorders pattern showed a higher risk of developing only IADL. Multimorbidity patterns are differentially associated with incident disability, which is important for the design of future prevention strategies aimed at delaying functional impairment in old age, and for a better healthcare resource planning.

The presence of multiple chronic conditions (i.e., multimorbidity) increases the risk of hospitalisation in older adults. We aimed to examine the association between different multimorbidity patterns and unplanned hospitalisations over 5 years. To that end, 2,250 community-dwelling individuals aged 60 years and older from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) were studied. Participants were grouped into six multimorbidity patterns using a fuzzy c-means cluster analysis. The associations between patterns and outcomes were tested using Cox models and negative binomial models. After 5 years, 937 (41.6%) participants experienced at least one unplanned hospitalisation. Compared to participants in the unspecific multimorbidity pattern, those in the cardiovascular diseases, anaemia and dementia pattern, the psychiatric disorders pattern and the metabolic and sleep disorders pattern presented with a higher hazard of first unplanned hospitalisation (hazard ratio range: 1.49–2.05; p < 0.05 for all), number of unplanned hospitalisations (incidence rate ratio (IRR) range: 1.89–2.44; p < 0.05 for all), in-hospital days (IRR range: 1.91–3.61; p < 0.05 for all), and 30-day unplanned readmissions (IRR range: 2.94–3.65; p < 0.05 for all). Different multimorbidity patterns displayed a differential association with unplanned hospital care utilisation. These findings call for a careful primary care follow-up of older adults with complex multimorbidity patterns.

Protein energy malnutrition (PEM) is one of the leading causes of death among children below 5 years in Uganda. It develops after acute childhood illnesses despite children having received treatment from health facilities. This study assessed knowledge and practices of health workers in the diagnosis and management of PEM, which was used to establish missed opportunities to prevent severe acute malnutrition (SAM) in its management. This was a cross sectional descriptive study that used questionnaires and observation of health workers at Health Center IV (HCIV) in Wakiso district, Uganda. The clinical nutrition diagnosis of the children was then obtained. There were 44 health workers that assessed 225 children. Most of the health workers 32 (72.7%) had education in PEM management and over 60% of them knew the forms of PEM, clinical signs of kwashiorkor and marasmus and the factors that predispose to PEM. Health workers did not weigh 56 (24.9%) of the children, 193 (86%) children had no height taken and only 32 (14.2%) had mid upper arm circumference measured. The weight for height of 223 (99.2%) and weight for age of 109 (93%) children was not calculated. Only 38 (16.89%) were examined for edema and 40 (17.78%) for muscle wasting. Health workers diagnosed only 21 (9%) children with malnutrition, while researchers found 94 (31.9%) with malnutrition. Children who missed opportunity to have malnutrition diagnosed at the health facility were 73 (32.9%). The knowledge of health workers on PEM is adequate, but their practice is inadequate. There is missed opportunity to diagnose and manage PEM among children who present with acute illnesses at the health centers, hence missed opportunity to prevent SAM.