Intrapersonal and interpersonal level factors influencing self-care practices among Hong Kong individuals with COVID-19-A qualitative study

Prevalence and risk factors for long COVID in China: A systematic review and meta-analysis of observational studies

BACKGROUND

With the outbreak of COVID-19 in China, a large number of COVID-19 patients are at risk of long COVID after recovery. The purpose of our research is to systematically review the existing clinical studies to understand the current prevalence and related risk factors of long COVID in COVID-19 patients in China.

METHODS

The protocol of this systematic review was registered on PROSPERO (CRD42024519375). We searched six electronic databases from 1st January 2020-1st March 2024. Literature screening, data extraction, and risk bias assessment were independently carried out by two reviewers. Quality of the included studies was evaluated by AHRQ and NOS. The meta-analysis was performed by R software 4.2.3 to derive the prevalence of long COVID and risk factors.

RESULTS

Overall, 50 studies with 65880 participants were included. The results showed that the prevalence of long COVID (with at least one symptom) among the COVID-19 patients was approximately 50 % (95 %Confidence Interval (CI) 42-58 %) in China. Although we conducted meta-regression and subgroup analysis, the heterogeneity of the study was high. But the Omicron BA.2 variant had a statistically significant effect on the prevalence of long COVID (P = 0.0004). The three most common symptoms of long COVID were fatigue (0.33, 95 %CI 0.28-0.39), cognitive decline (0.30, 95 %CI 0.14-0.46) and shortness of breath (0.29, 95 %CI 0.15-0.43). Patients with severe acute phase of COVID-19 (Odds Ratio (OR) 1.57, 95 % CI 1.39-1.77), combined 2 comorbidities (OR 1.80, 95 % CI 1.40-2.32), combined 3 comorbidities (OR 2.13, 95 % CI 1.64-2.77), advanced age (OR 1.02, 95 % CI 1.01-1.04), female (OR 1.58, 95 % CI 1.44-1.73) were the risk factors for long COVID prevalence.

CONCLUSION

Current systematic review found that nearly half of COVID-19 patients may suffering from long COVID in China. Establishing a long COVID recovery-support platform and regular follow-up would help to long-term monitor and manage the patients, especially those high-risk population.

Assessing the Reasons and Adverse Effects of Self-Medication in the Context of the COVID-19 Pandemic in Sierra Leone. A Case Study of Moriba Town Section

Background

The impact of COVID-19 pandemic on healthcare resources has led to an increase in self-medication as a coping mechanism. The purpose of the study is to investigate the prevalence of self-medication, the reasons behind it, and its potential consequences during the pandemic.

Methods

A community-based cross-sectional study was conducted in Moriba Town, Bo City, Southern Sierra Leone. Using a multistage systematic sampling technique, 246 adult participants were selected. Data were collected using Kobo collect electronic platform and analyzed using SPSS version 26.0.

Results

Out of the 246 adult residents who were sampled, 63 (26%) practiced self-medication. Among them, females (33 or 52%) were more prevalent than males (30 or 48%). The most dominant age groups for self-medication were 38-47 (22 or 35%) and 28-37 (18 or 29%). The major reasons for self-medication were fear of infection (189 or 77%), fear of quarantine (199 or 81%), and stigma (189 or 77%). Delays in treatment (113 or 46%) and unavailability of Covid-19 medications (92 or 37%) were also cited. However, a majority of respondents (162 or 66%) denied the influence of friends or media (168 or 68%) on their decision to self-medicate. Reasons like "delay in receiving treatment" and "influence of friends" showed significant association with self-medication (pValue <0.05). More than half of the respondents 177 (72%) did not practice self-medication before the pandemic. Adverse reactions due to self-medication included skin rashes and blisters 29 (45%) and drowsiness 24 (38%).

Conclusion

The prevalence of unsupervised medication before and after the pandemic was minimal suggesting little impact of the pandemic. Fear and social stigma were the main drivers for self-medication. To promote safety and informed health decisions, regulatory measures, and awareness campaigns are essential to control unsupervised medication sales, improve drug labeling, and educate the public about the dangers of self-medication.