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BackgroundUnmanned aircraft vehicles (UAVs) have had a rapid escalation in manageability and affordability, which can be exploited in healthcare. We conducted a systematic review examining the use of drones for health-related purposes.MethodsA search was conducted in Medline, Embase, Global Health, Scopus, CINAHL and SciELO. Experimental studies were selected if the population included human subjects, the intervention was the use of UAVs and there was a health-related outcome.ResultsOf 500 results, five met inclusion criteria during an initial search. An updated search yielded four additional studies. Nine studies, all in high-income countries, were included for systematic syntheses: four studies addressed out-of-hospital cardiac arrest emergencies, three assessed drones for identification of people after accidents, one used drones to transport blood samples and one used drones to improve surgical procedures in war zones.ConclusionsResearch on the use of drones in healthcare is limited to simulation scenarios, and this review did not retrieve any studies from low- and middle-income countries.

BackgroundPrevious studies have shown that hypertension is a risk factor for cognitive impairment, but whether this association is also present in extremely poor populations in Low Middle Income Countries settings remains to be studied. Understanding other drivers of cognitive impairment in this unique population also merits attention.MethodsWe performed a secondary analysis using data from the “Encuesta de Salud y Bienestar del Adulto Mayor”, a regional survey conducted in an extremely poor population of people older than 65 years old from 12 Peruvian cities in 2012. The outcome variable was cognitive impairment, determined by a score of ≤7 in the modified Mini-Mental State Examination. The exposure was self-reported hypertension status. Variables such as age, gender, controlled hypertension, education level, occupation, depression and area of living (rural/urban) were included in the adjusted analysis. We used Poisson regression with robust variance to calculate prevalence ratios (PR) and 95% confidence interval (95% CI) adjusting for confounders.ResultsData from 3842 participants was analyzed, 51.8% were older than 70 years, and 45.6% were females. The prevalence of cognitive impairment was 1.7% (95% CI 1.3%–2.1%). There was no significant difference on the prevalence of cognitive impairment between the group of individuals with hypertension in comparison with those without hypertension (PR = 0.64, 95% CI 0.33–1.23).ConclusionsThe association described between hypertension and cognitive impairment was not found in a sample of extremely poor Peruvian older adults.Electronic supplementary materialThe online version of this article (10.1186/s12877-017-0628-8) contains supplementary material, which is available to authorized users.

Stroke is a major cause of death and disability, with most of its burden now affecting low- and middle-income countries (LMIC). People in rural areas of LMIC who have a stroke receive very little acute stroke care and local healthcare workers and family caregivers in these regions lack the necessary knowledge to assist them. Intriguingly, a recent rapid growth in cell-phone use and digital technology in rural areas has not yet been appropriately exploited for health care training and delivery purposes. What should be done in rural areas, at the community setting-level, where access to healthcare is limited remains a challenge. We review the evidence on improving post-stroke outcomes including lowering the risks of functional disability, stroke recurrence, and mortality, and propose some approaches, to target post-stroke care and rehabilitation, noting key challenges in designing suitable interventions and emphasizing the advantages mHealth and communication technologies can offer. In the article, we present the prevailing stroke care situation and technological opportunities in rural Peru as a case study. As such, by addressing major limitations in rural healthcare systems, we investigate the potential of task-shifting complemented with technology to utilize and strengthen both community-based informal caregivers and community healthcare workers.

Depression associated with stroke affects roughly one-third of stroke survivors. Post-stroke depression (PSD) is thought to adversely influence functional outcome by limiting participation in rehabilitation, decreasing physical, social, and cognitive function, and affecting neuroplasticity thereby placing stroke survivors at high risk for future vascular events. PSD has also been associated with higher mortality rates after stroke. In Peru, a country where there is no national stroke program and mental health disorders are largely underdiagnosed and untreated, people with PSD are likely to be further challenged by dependency and impoverished conditions that will limit their use of ambulatory services, leading to inadequate clinical follow-up. In this scenario, mobile health (mHealth) technology offers a promising approach to extend access to high-quality and culturally tailored evidence-based psychological care to address PSD given that cell phone use, Internet connectivity, and digital health technology have met a rapid growth in the last years and thus contribute to the attainment of broader Sustainable Development Goals (SDGs). The limited evidence of the effectiveness of mHealth for PSD calls for researchers to fill a knowledge gap where Peru poses as an ideal setting because rapid expansion of digital technology and current mental healthcare reform could be leveraged to enhance post-stroke outcomes. This article proposes the rationale for a suitable evidence-driven, mHealth-based, PSD self-management intervention called iMOODS-Investigating the role of mHealth in overcoming occurrence of depression after stroke-that could be tested among recent stroke patients with PSD in resource constrained settings.