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IntroductionSickle cell disease (SCD) remains a major cause of childhood mortality and morbidity in Malawi. However, literature to comprehensively describe the disease in the paediatric population is lacking.MethodsA retrospective review of clinical files of children with SCD was conducted. Descriptive statistics were performed to summarise the data. χ2 or Fisher’s exact test was used to look for significant associations between predictor variables and outcome variables (case fatality and length of hospital stay). Predictor variables that were significantly associated with outcome variables (p≤0.05) in a χ2 or Fisher’s exact test were carried forward for analysis in a binary logistic regression. A multivariable binary logistic regression was used to identify covariates that independently predicted length of hospital stay.ResultsThere were 16 333 paediatric hospitalisations during the study period. Of these, 512 were patients with SCD representing 3.1% (95% CI: 2.9%- 3.4%). Sixty-eight of the 512 children (13.3%; 95% CI: 10.5% - 16.5%) were newly diagnosed cases. Of these, only 13.2% (95% CI: 6.2% - 23.6%) were diagnosed in infancy. Anaemia (94.1%), sepsis (79.5%) and painful crisis (54.3%) were the most recorded clinical features. The mean values of haematological parameters were as follows: haemoglobin (g/dL) 6.4 (SD=1.9), platelets (×109/L) 358.8 (SD=200.9) while median value for white cell count (×109/L) was 23.5 (IQR: 18.0–31.2). Case fatality was 1.4% (95% CI: 0.6% - 2.8%)and 15.2% (95% CI: 12.2% -18.6%) of the children had a prolonged hospital stay (>5 days). Patients with painful crisis were 1.7 (95% CI: 1.02 - 2.86) times more likely to have prolonged hospital stay than those without the complication.ConclusionAnaemia, sepsis and painful crisis were the most common clinical features paediatric patients with SCD presented with. Patients with painful crisis were more likely to have prolonged hospital stay. Delayed diagnosis of SCD is a problem that needs immediate attention in this setting. Although somewhat encouraging, the relatively low in-hospital mortality among SCD children may under-report the true mortality from the disease considering community deaths and deaths occurring before SCD diagnosis is made.

BackgroundIn 2016 the Malawi government embarked on several interrelated health sector reforms aimed at improving the quality of health services at all levels of care and attain Universal Health Coverage by 2030. Patient satisfaction with services is an important proxy measure of quality. We assessed patient satisfaction at a tertiary hospital in Northern Malawi to understand the current state in the country. MethodsWe conducted exit interviews with patients aged18 years and above using a 28 statement interviewer administered questionnaire. Patients were asked to express their level of agreement to the statements on a five-point Likert scale – strongly disagree to strongly agree, corresponding to scores of 1 to 5. Overall patient satisfaction was calculated by summing up the scores and diving the sum by the number of statements. Scores >3 constituted satisfaction while scores ≤3 constituted dissatisfaction. Patient self-rated satisfaction was determined from a single statement that asked patients to rate their satisfaction with services on a five-point Likert scale. We also solicited inputs from patients on aspects of hospital care that needed improvement. Responses were reviewed and grouped into themes. Recurring themes are presented according to frequencies.ResultsOverall patient satisfaction was 8.4% (95% CI: 5.2% - 12.9%). Patient self-rated satisfaction was 8.9% (95% CI: 5.5% - 13.4%). Patients raised six major issues that dampened their healthcare seeking experience including health workers reporting late to work, doctors not listening to patients concerns and neither examining them properly nor explaining the diagnosis, shortage of medicines, diagnostics and medical equipment, unprofessional conduct of health workers, poor sanitation and cleanliness, and health workers behaviour of favouring or priotising their relatives and friends over other patients.ConclusionWe found very low levels of patient satisfaction, suggesting that quality of services in the public health sector is still low. It is therefore critical to accelerate and innovate the Ministry of Health’s quality improvement initiatives to attain Malawi’s health goals.

IntroductionCryptococcal meningitis (CM) is the most common systemic fungal infection in patients with HIV infection. Rapid diagnosis and timely initiation of antifungal therapy are key to reducing mortality rate associated with CM. This study aims to evaluate the ability of four different diagnostic tests (Gram stain, India ink, and two types of commercial lateral flow assay [LFA]) to identify CM-positive patients and to compare the sensitivity and specificity of these tests.MethodsThis was a prospective cross-sectional study on diagnostic tests accuracy conducted in Northern Malawi. The target population was HIV-infected adult patients presenting with features of meningitis. Four types of diagnostic tests were conducted: India ink, Gram stain, and two types of commercial lateral flow assay (LFA) (Immy, Inc., OK, USA and Dynamiker Biotechnology (Tianjin) Co., Ltd), Singapore). Culture was conducted as the reference standard.ResultsA total of 265 samples were collected. The rate of positive CM detection ranged from 6.4% (using India ink) to 14.3% (using LFA). India ink exhibited the lowest sensitivity of 54.8% (95% confidence interval [CI]: 36.0%–72.7%), followed by Gram stain (61.3%; 95% CI: 42.2%–78.2%). The Dynamiker LFA exhibited the highest sensitivity of 100.0% (95% CI: 90.0%–100.0%) but a lower specificity (97.0%; 93.9%–98.8%) compared to the Immy LFA (98.3%; 95% CI: 95.7%–99.5%). ConclusionLFA diagnostic methods have the potential to double the detection rate of CM-positive patients in resource-limited countries such as Malawi. As such, LFAs should be considered to become the main diagnostic tests used for CM diagnostics in these countries. Our data indicate that LFAs may be the best method for diagnosing CM and exhibits the highest diagnostic accuracy as it has shown that it outperforms cell culture, the current gold standard.