Publications by authors named "M Deidda"
Objectives: To identify, measure and value the economic burden of musculoskeletal (MSK) disorders in the Kilimanjaro region, Tanzania.
Design: Community-based cross-sectional survey (undertaken between January and September 2021).
Setting: Hai district, Kilimanjaro, Tanzania.
Objectives: In Zambia, 19.1% of the adult population had elevated blood pressure. Hence, the Ministry of Health in Zambia designated the improvement of hypertension (HTN) care services as a priority policy.
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- The study looked at heart failure (HF) patients and how being a man or a woman affects their treatment and outcomes in the hospital.
- They found that women were generally older and had different health issues compared to men, but both were treated similarly when leaving the hospital.
- Overall, gender didn’t have a big impact on how well patients did after being treated, meaning women weren't at a disadvantage compared to men.
: Fibromyalgia syndrome (FMs) is a chronic condition characterized by widespread musculoskeletal pain and a range of complex symptoms, with chronic fatigue being a central feature significantly impacting daily life. The aim of this study was to analyze the secondary outcomes, specifically those related to perceived energy and fatigue symptoms in a randomized controlled trial (RCT) assessing the efficacy of heart rate variability biofeedback (HRV-BF) as an adjunctive treatment for FMs. : Sixty-four FMs patients were randomly assigned to either receive 10 HRV-BF training sessions alongside standard pharmacological therapy (experimental group) or standard therapy alone for 10 weeks (control group).
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- The COVID-19 pandemic significantly disrupted healthcare delivery for patients with type 2 diabetes in Kenya and Tanzania, affecting access to essential services.
- A study involving 1,000 diabetes patients revealed that a notable percentage experienced changes in testing frequency and healthcare facility visits, with Kenya showing more severe disruptions compared to Tanzania.
- Factors such as insurance status and economic conditions played a key role in the level of care disruption, highlighting the need for better health system preparedness for future emergencies.