MATERIALS AND METHODS: A prospective observational study was conducted between 1st October 2021 till September 2022 in the state of Johor, Malaysia. 300 patients with confirmed SARS-CoV-2 infection were randomly selected and followed up for six months. Data were analysed by using Chi-square test, Fisher's Exact test, Paired t test and Multiple logistic regression.
RESULTS: The prevalence of short-term neuropsychiatric symptoms was 78%, with anosmia being the most prevalent symptom. Long-term symptoms were found in 22.75% of patients, with headache being the most prevalent (p= 0.001). COVID-19 Stage 2 and 3 infections were associated with a higher risk of short-term neuropsychiatric symptoms, OR for Stage 2 infection was 5.18 (95% CI: 1.48-16.97; p=0.009) and for Stage 3 infection was 4.52 (95% CI: 1.76-11.59; p=0.002). Complete vaccination was a significant predictor of longterm symptoms with adjusted OR 3.65 (95% CI 1.22-10.91; p=0.021).
CONCLUSION: This study demonstrated that neuropsychiatric symptoms were common among COVID-19 patients in Johor, Malaysia and the risk of these symptoms was associated with the severity of the infection. Additionally, complete vaccination does not completely protect against long-term neuropsychiatric deficits. This is crucial for continuous monitoring and addressing neuropsychiatric symptoms in COVID-19 survivors.
DESIGN: Randomized clinical trial with parallel-group design guided by the CONSORT checklist.
METHODS: In this study, sixty cardiovascular inpatients were selected through convenience sampling and then randomly assigned to control and intervention groups, in 2018, Iran. The intervention group took responsibility for consuming their prescribed medication according to the self-administration of medication programme and the control group took medications routinely. Medication adherence was measured one and two weeks after the discharge via telephonic follow-up by Morisky Medication Adherence Scale MMAS-8-item and nurses' satisfaction by researcher-made questioner.
RESULT: There was a higher medication adherence level in the intervention group rather than the usual care group at the follow-up. Most nurses in the study environment were very satisfied.
CONCLUSION: The self-administration of medication programme can effectively increase patients' medication adherence and nurses' satisfaction.
CONCLUSIONS: There is limited peer-reviewed advice available on providing safe and effective temporary psychiatric consultant cover for patient care. We suggest a framework for reviewing the potential hazards and benefits of a temporary post, and planning for the role, guided by consideration of the following: caring for patients, supporting staff, working with peers, and understanding local healthcare systems and the local regulatory environment. Application of this reflective framework is informed by the psychiatrist's assessment of the temporary role, and consideration of the local service conditions.
METHODS: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
RESULTS: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
AIMS: This study aimed to assess the readiness and ability to use mHealth apps among patients with CKD in north-east Peninsular Malaysia.
METHODS: A cross-sectional study was undertaken, using a convenience sample of 100 CKD medical inpatients in a tertiary teaching hospital. A structured, self-administered questionnaire on readiness and ability to use mHealth apps was adopted.
FINDINGS: Nearly one in five patients (18%) actively used health applications. More than three-quarters (77%) were aged >40 years and a similar proportion were ready to use mHealth apps (78%), and nearly half (46%) were confident about connecting their device to wifi. There was a correlation between ability and readiness to use mHealth apps (r=0.4; P<0.05).
CONCLUSIONS: Fewer than half of participants had a good command of mHealth applications. Therefore, support on the use of these apps is needed, and healthcare managers need to consider this.
OBJECTIVE: To investigate the association between severe anxiety disorder and other factors with COVID-19 disease severity.
METHODS: This was cross-sectional study during March - November 2020. The diagnosis of SARS-CoV-2 was done by using RT-PCR from throat swabs, based on WHO's interim guidelines. AD was measured using self-reporting Generalized Anxiety Disorder-7 (GAD-7). All participants underwent, history taking, physical examinations, blood routine examination and chest radiography. Association between severe AD and other factors with COVID-19 disease severity were analyzed. Chi-square test (bivariate) and Logistic regression (multivariate) with the precision value of 95% was done and p-value less than 5% was considered significant.
RESULTS: Positive rate of Covid-19 patients was 43% (292 / 678). Among those 292 with Covid-19, 74 (25.3%) participants had severe disease. Multivariate analysis showed severe anxiety (OR 696.11; 95%CI: 78.54 to 6169.98; p<0.001), hypertension (OR 37.02; 95%CI: 4.49 to 305.39; p=0.001) and neutrophyl lymphocyte ratio (NLR) less than 2.89 (OR 0.15; 95%CI: 0.04 to 0.62; p=0.009).
CONCLUSION: Severe anxiety, hypertension and NLR less than 2.89 are potential independent risk factors for severe infection of SARS-CoV-2 (COVID-19).