No abstract

Recent studies suggest that the nursing hormone prolactin is crucially involved in the pathogenesis of PPCM (8).LV recovery in PPCM remains markedly heterogenous and differs significantly between countries and ethnicities. Recent reports suggest that approximately 45-75% of all affected women recover their LV function after 6 to 12 months. However, lower rates of recovery have been reported in developing countries (9). Although LV recovery predominantly occurs within the first 6 months after diagnosis, it has been shown to continue beyond Review Article on Cardiovascular Diseases in Low-and Middle-Income Countries

No abstract

BACKGROUND: Provision of timely, safe, and affordable surgical care is an essential component of any high-quality health system. Increasingly, it is recognized that poor quality of care in the perioperative period (before, during, and after surgery) may contribute to significant excess mortality and morbidity. Therefore, improving access to surgical procedures alone will not address the disparities in surgical outcomes globally until the quality of perioperative care is addressed. We aimed to identify key barriers to quality perioperative care delivery for 3 "Bellwether" procedures (cesarean delivery, emergency laparotomy, and long-bone fracture fixation) in 5 low-and middle-income countries (LMICs). METHODS: Ten hospitals representing secondary and tertiary facilities from 5 LMICs were purposefully selected: 2 upper-middle income (Colombia and South Africa); 2 lower-middle income (Sri Lanka and Tanzania); and 1 lower income (Uganda). We used a rapid appraisal design (pathway mapping, ethnography, and interviews) to map out and explore the complexities of the perioperative pathway and care delivery for the Bellwether procedures. The framework approach was used for data analysis, with triangulation across different data sources to identify barriers in the country and pattern matching to identify common barriers across the 5 LMICs. RESULTS: We developed 25 pathway maps, undertook >30 periods of observation, and held >40 interviews with patients and clinical staff. Although the extent and impact of the barriers varied across the LMIC settings, 4 key common barriers to safe and effective perioperative care were identified: (1) the fragmented nature of the care pathways, (2) the limited human and structural resources available for the provision of care, (3) the direct and indirect costs of care for patients (even in health systems for which care is ostensibly free of charge), and (4) patients' low expectations of care. CONCLUSIONS: We identified key barriers to effective perioperative care in LMICs. Addressing these barriers is important if LMIC health systems are to provide safe, timely, and affordable provision of the Bellwether procedures. (Anesth Analg 2022;135:1217-32) KEY POINTS• Question: What are the key barriers to delivering quality perioperative care for patients undergoing a Bellwether procedure in low-and middle-income countries (LMICs)? • Findings: We found 4 key barriers to the delivery of timely and safe perioperative care: fragmented care pathways, limited human and structural resources, the cost of care to patients, and the patients' overall low expectations of care. • Meaning: To improve the quality and safety of surgical care and patient outcomes, work is required to overcome the identified barriers in perioperative care. GLOSSARY COVID-19 = coronavirus disease 2019; HDU = high-dependency unit; HIC = high-income country; ICU = intensive care unit; IRB = institutional review board; LMIC = low-and middle-income country; RAP = rapid appraisal procedure

Aims Mobile learning is attributed to the acquisition of knowledge derived from accessing information on a mobile device. Although increasingly implemented in medical education, research on its utility in Electrocardiography remains sparse. In this study, we explored the effect of mobile learning on the accuracy of ECG analysis and interpretation. Methods and results The study comprised 181 participants (77 fourth- and 69 sixth-year medical students, and 35 residents). Participants were randomised to analyse ECGs with a mobile learning strategy (either searching the Internet or using an ECG reference app) or not. For each ECG, they provided their initial diagnosis, key supporting features and final diagnosis consecutively. Two weeks later they analysed the same ECGs, without access to any mobile device. ECG interpretation was more accurate when participants used the ECG app (56%), as compared to searching the Internet (50.3%) or neither (43.5%, p=0.001). Importantly, mobile learning supported participants in revising their initial incorrect ECG diagnosis (ECG app 18.7%, Internet search 13.6%, no mobile device 8.4%, p<0.001). However, whilst this was true for students, there was no significant difference amongst residents. Internet searches were only useful if participants identified the correct ECG features. The app was beneficial when participants searched by ECG features, but not by diagnosis. Using the ECG reference app required less time than searching the Internet (7:44±4:13 vs 9:14±4:34, p < 0.001). Mobile learning gains were not sustained after two weeks. Conclusion Whilst mobile learning contributes to increased ECG diagnostic accuracy, the benefits were not sustained over time.