Digital health in the era of COVID-19: Reshaping the next generation of healthcare.

COVID-19 is one of the most deadly diseases to have stricken us in recent decades. In the fight against this disease, governments and stakeholders require all the assistance they can get from various systems, including digital health interventions. Digital health technologies are supporting the tracking of the COVID-19 outbreak, diagnosing patients, expediting the process of finding potential medicines and vaccines, and disinfecting the environment, The establishment of electronic medical and health records, computerized clinical decision support systems, telemedicine, and mobile health have shown the potential to strengthen the healthcare system. Recently, these technologies have aided the health sector in a variety of ways, including prevention, early diagnosis, treatment adherence, medication safety, care coordination, documentation, data management, outbreak tracking, and pandemic surveillance. On the other hand, implementation of such technologies has questions of cost, compatibility with existing systems, disruption in patient-provider interactions, and sustainability, calling for more evidence on clinical utility and economic evaluations to help shape the next generation of healthcare. This paper argues how digital health interventions assist in the fight against COVID-19 and their opportunities, implications, and limitations.

Antimicrobial prescription patterns in East Africa: a systematic review.

BACKGROUND: Antimicrobial resistance is currently a recognized global health problem stemming from poor antibiotic stewardship by health workers and inappropriate antimicrobial use by patients. Data showing the extent of poor antimicrobial stewardship in low- and middle-income countries are scanty though high incidences of antimicrobial resistance are increasingly reported in many settings across the globe. The objective of the present study was, therefore, to evaluate prescriptions for antimicrobials in East Africa. METHODS: A comprehensive literature search strategy that includes text words and medical subject headings was developed and applied to predefined electronic databases. Two authors independently screened the titles and abstracts of the outputs of the literature search. Full texts were then independently reviewed by the first and the second authors. Eligible studies were formally assessed for quality and risk of bias using a scoring tool. Extracted data from included studies were combined in a meta-analysis where appropriate and presented using forest plots and tables or in a narrative text. Where data were available, subgroup analyses were performed. RESULTS: A total of 4284 articles were retrieved, but only 26 articles were included in the review. The majority of the included studies (30.8%) were retrieved from Ethiopia, followed by Sudan, Kenya, and Tanzania each contributing 19.2% of the included studies. The overall proportion of encounters with antimicrobials reported by the included studies was 57% CI [42-73%]. Ethiopia had an overall patient encounter with antimicrobials of 63% [50-76%] followed by Sudan with an overall encounter with antimicrobials of 62% CI [34-85%]. Included studies from Kenya reported an overall encounter with antimicrobials of 54% CI [15-90%], whereas included studies from Tanzania reported an overall patient encounter with antimicrobials of 40% CI [21-60%]. CONCLUSION: Prescription patterns demonstrated in this review significantly deviate from WHO recommendations suggesting inappropriate antimicrobial use in the East African countries. Further studies have to be pursued to generate more information on antimicrobial use in this region.

HIV Protease Inhibitors and Insulin Sensitivity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Protease inhibitors (PIs) are believed to affect insulin sensitivity. We aimed to analyze the effect of PIs on insulin sensitivity and the onset of diabetes mellitus (DM) in patients with HIV. Methodology: We searched PubMed, Google Scholar, ClinicalTrals.gov, and the WHO International Clinical Trials Registry Platform till November 2020 for randomized controlled trials (RCTs) that studied the effects of PIs on insulin sensitivity and DM in patients with HIV. We followed the PRISMA and PICOS frameworks to develop the search strategy. We used the random-effects meta-analysis model to estimate the mean difference (MD), standardized mean difference (SMD), and risk ratios for our outcomes, using Stata 14 software. Results: We included nine RCTs that enrolled 1,000 participants, with their ages ranging from 18 to 69 years. The parameters and investigations used in the studies to determine insulin sensitivity were glucose disposal rates, hyperglycemia, and mean glucose uptake. The majority of results showed an association between PIs and insulin sensitivity. The pooled analysis showed no statistically significant difference in insulin sensitivity with atazanavir, whether the study was performed on healthy individuals for a short term or long term in combination with other drugs like tenofovir or emtricitabine [SMD = 0.375, 95% CI (0.035, 0.714)]. The analysis showed reduced glucose disposal rates and hence reduced insulin sensitivity with lopinavir (heterogeneity chi-squared = 0.68, I-squared [variation in SMD attributable to heterogeneity] = 0.0%, p = 0.031). The heterogeneity with chi-squared was substantial (61-80%), while with I-squared was not significant (0-40%), p = 0.031). Less adverse events were observed with atazanavir than with lopinavir [RR = 0.987, 95% CI (0.849, 1.124)]. Darunavir and indinavir did not demonstrate any significant changes in insulin sensitivity. Most of the studies were found to have a low risk of bias. Conclusions: There are significant variations in the effects of PIs on insulin sensitivity and onsets of DM. Atazanavir, fosamprenavir, and darunavir did not demonstrate any significant changes in insulin sensitivity, compared to the rest of the group. There is a need to assess the benefits of PIs against the long-term risk of impaired insulin sensitivity. All patients newly diagnosed with HIV should have DM investigations before the start of ARVs and routinely. RCTs should focus on sub-Saharan Africa as the region is worst affected by HIV, but limited studies have been documented.

Human papillomavirus self-sampling versus standard clinician-sampling for cervical cancer screening in sub-Saharan Africa: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Human papillomavirus (HPV) infection remains a major health threat in sub-Saharan Africa (SSA). HPV self-sampling could help find and treat cervical cancer at an early stage. We aimed to evaluate the effectiveness of HPV self-sampling over the standard health facility-based clinician-sampling for cervical cancer screening through a systematic review and meta-analysis of available randomized controlled trials. METHOD: We searched PubMed, Cochrane Central Register of Controlled Trials, ClinicalTrial.gov, and the WHO Global Health Library for articles in SSA published as of 31 May 2020. We followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 guidelines for the design and reporting of the results. We included randomized control trials that compared HPV self-sampling with the standard of care. The primary endpoint was uptake of cervical cancer screening service. The secondary endpoints were linkage to care, acceptability, screening frequency, and adverse events. We used RevMan V.5.3 software for statistical analysis. We computed random-effect model to provide pooled estimates of available data and I-squared (I2) test to assess heterogeneity. RESULT: Of 77 citations, we included four trials from Nigeria, Ethiopia, Kenya, and Uganda, encompassing 8200 participants with age ranging from 25 to 65 years. The pooled analysis showed significantly higher uptake of cervical cancer screening in women who used HPV self-sampling (risk ratio [RR] 1.72, 95% CI 1.58-1.87; p = 0.01), while this had a considerable heterogeneity as explained by subgroup analysis. Uptake was higher in women who were offered sampling kit at home or work (RR 2.05, 95% CI 1.80-2.33) and those who's kit was mailed to or invited to a nearby health center (RR 1.65, 95% CI 1.58-1.72, I2 = 0%) than those screened with the standard of care. There was no difference between the two groups in the rate of linkage to care of positive cases (RR 1.30, 95% CI 0.90-2.74, I2 = 91%). HPV self-sampling was acceptable and easy to use. None of the trials compared the frequency of screening or adverse events. CONCLUSION: HPV self-sampling is an effective and feasible alternative to the standard health facility-based clinician-sampling for cervical cancer screening in SSA. It could improve the uptake of cervical cancer screening and harness the global strategy towards elimination of cervical cancer by 2030.