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Good Health Indicators are Not Enough: Lessons from COVID-19 in Peru.
(National Institutes of Health, 2020-12-01)
Peru received international acclaim for being one of the first countries to implement a comprehensive package of measures to control the spread of the COVID-19 pandemic. The government imposed a general lockdown, combined with social protection measures--mainly cash transfers and the distribution of food parcels. This was an attempt to mitigate the impact of the lockdown, in a country where 70% of the population works in the informal sector. Yet despite this, the transmission rate remained high, and as of early June Peru's COVID-19 mortality rates were amongst the highest worldwide. The pandemic has shed a stark light on Peru's failure to guarantee the right to health and the limits of the tools used to assess the health system's performance. Over the past two decades Peru has been praised for introducing a series of reforms aimed at achieving Universal Health Coverage (UHC), primarily through the expansion of health insurance across low-income groups. Nevertheless, reforms have failed to overcome the historical fragmentation of the system, where access to services is determined by income, gender, and geographical location.
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Feasibility and acceptability of e-learning training about diabetes and insulin usage to Peruvian healthcare professionals
(BMJ Publishing Group, 2026-07-01)
INTRODUCTION: Insulin is fundamental for the management of diabetes. In Peru, limited training among healthcare professionals is an important barrier to insulin prescription and usage. Given the advantages of e-learning such as time flexibility, low cost and penetration, the Peruvian government launched an e-learning training on diabetes and insulin usage for healthcare professionals working in public facilities in December 2021. This study aims to assess the feasibility and acceptability of this initiative. METHODS: We conducted a mixed-methods study with a sequential explanatory design to assess feasibility and acceptability of the e-learning training. We included all enrolled participants regardless of whether they completed the course. First, quantitative data were collected through online surveys. Then, qualitative data were collected through in-depth interviews. The data were analysed separately, but the results were interpreted together to triangulate findings. RESULTS: This course reached 536 healthcare professionals at the national level, from which 338 (63.1%) completed the course. 304 (56.7%) of the participants lived outside Lima, the capital of Peru, and 285 (53.2%) worked in a primary care facility. Participants manifested high satisfaction with the course content and its applicability. However, some barriers to participation were found. Chiefly, family burden, workload, poor internet connection and the lack of protected training hours. CONCLUSION: The study highlights the feasibility of using e-learning to train healthcare professionals, particularly in underserved areas, offering flexibility and broad access. Some barriers need to be considered for future interventions that prevent dropouts.
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