Impacto de la pandemia COVID-19 en la atención al paciente con cefalea en España: análisis de situación con una mirada al futuro

López-Bravo, A.; García‐Azorín, David; Belvís, R.; González-Oria, C.; Latorre, G.; Santos-Lasaosa, S; Ál, Guerrero-Peral

doi:10.1016/j.nrl.2020.05.006

Cited by 24 publications

(17 citation statements)

References 15 publications

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“…Several studies recently appeared warning about the possible negative consequences of quarantine due to changes in nutrition, sleeping habits, and psychological distress [ 1 , 7 , 8 ]. Moreover, the sudden change in lifestyle habits might have had negative effects in patients affected by migraine, as, apart from well-established genetic [ 9 ], external factors have a known impact on migraine susceptibility [ 10 , 11 , 12 , 13 ]. Indoor and outdoor environmental factors, including barometric pressure changes, bright sunlight, flickering lights, air quality, and odors, are usually reported as migraine triggers [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Social Distancing in Chronic Migraine during the COVID-19 Outbreak: Results from a Multicenter Observational Study

et al. 2021

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Background: The restrictions taken to control the rapid spread of COVID-19 resulted in a sudden, unprecedented change in people’s lifestyle, leading to negative consequences on general health. This study aimed to estimate the impact of such changes on migraine severity during 2020 March–May lockdown. Methods: Patients affected by migraine with or without aura, diagnosed by expert physicians, completed a detailed interview comprehensive of: assessment of migraine characteristics; measure of physical activity (PA) levels; measure of the intake frequency of main Italian foods; the Insomnia Severity Index (ISI) questionnaire investigating sleep disorders. Results: We included 261 patients with a mean age of 44.5 ± 12.3 years. During social distancing, 72 patients (28%) reported a headache worsening, 86 (33%) an improvement, and 103 (39%) a stable headache frequency. A significant decrease of the PA levels during COVID-19 quarantine in the whole study sample was observed (median total metabolic equivalent task (METs) decreased from 1170 to 510; p < 0.001). Additionally, a significant difference was reported on median ISI scores (from 7 to 8; p < 0.001), which were increased in patients who presented a stable or worsening headache. Conclusions: Our study confirmed that the restrictions taken during the pandemic have affected the practice of PA levels and sleep quality in migraine. Hence, PA and sleep quality should be assessed to find strategies for an improvement in quality of life.

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Section: Introductionmentioning

confidence: 99%

Social Distancing in Chronic Migraine during the COVID-19 Outbreak: Results from a Multicenter Observational Study

et al. 2021

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“…[ 6 ] Gatti and López-Bravo reported a similar shift toward telemedicine in Italy[ 3 ] and Spain. [ 9 ] In Japan, similar to the other countries, online medical care has been officially performed from April 2020. There are increasing 4830 hospitals or clinics with online systems in June 2020, and telemedicine for headaches started.…”

Section: Introductionmentioning

confidence: 99%

“…[ 19 ] However, even under this shift toward telemedicine not only equipment but also more medical staff would be needed, and it is feared that telemedicine will increase staff ’s burden. [ 9 ]…”

Section: Introductionmentioning

confidence: 99%

Preliminary development of a deep learning-based automated primary headache diagnosis model using Japanese natural language processing of medical questionnaire

Katsuki

Narita

Matsumori³

et al. 2020

Surgical Neurology International

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Background: Primary headaches are widespread and costly public health problems. However, there are insufficient medical resources for their treatment in Japan due to two reasons. First, the numbers of headache specialists and clinics remain insufficient. Second, neurologists and neurosurgeons mainly treat headaches in Japan. However, they mainly work as general stroke neurologists, so they cannot focus on primary headache treatment. To solve these problems, we preliminarily developed a deep learning (DL)-based automated diagnosis model from patients’ Japanese unstructured sentences in the medical questionnaire using a DL framework. We hypothesized that the model would reduce the time and burden on both doctors and patients and improve their quality of life. Methods: We retrospectively investigated our primary headache database and developed a diagnosis model using the DL framework (Prediction One, Sony Network Communications Inc., Japan). We used age, sex, date, and embedding layer made by the medical questionnaire’s natural language processing (NLP). Results: Eight hundred and forty-eight primary headache patients (495 women and 353 men) are included. The median (interquartile range) age was 59 (40–74). Migraine accounted for 46%, tension-type headache for 47%, trigeminal autonomic cephalalgias for 5%, and other primary headache disorders for 2%. The accuracy, mean precision, mean recall, and mean F value of the developed diagnosis model were 0.7759, 0.8537, 0.6086, and 0.6353, which were satisfactory. Conclusion: The DL-based diagnosis model for primary headaches using the raw medical questionnaire’s Japanese NLP would be useful in performing efficient medical practice after ruling out the secondary headaches.

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“…Regarding the effects of pandemics on the health of people with chronic diseases, and also in relation to the above, the results of some studies have highlighted the need to adapt health care to the confinement situation by introducing measures such as remote consultations [27,28]. Furthermore, these studies revealed that throughout the confinement period the symptoms of some diseases, such as Alzheimer's [29] or diabetes [30], were exacerbated.…”

Section: Introductionmentioning

confidence: 99%

Impact of COVID-19 on the health of the general and more vulnerable population and its determinants: Health care and social survey-ESSOC, study protocol

Sánchez-Cantalejo

Rueda

Sáez

et al. 2021

Preprint

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Background : This manuscript describes the rationale and protocol of a real-world data (RWD) study entitled Health Care and Social Survey (ESSOC , Encuesta Sanitaria y Social ). The study’s objective is to determine the magnitude, characteristics, and evolution of the COVID-19 impact on overall health as well as the socioeconomic, psychosocial, behavioural, occupational, environmental, and clinical determinants of both the general and more vulnerable population. Methods: The study integrates observational data collected through a survey using a probabilistic, overlapping panel design, and data from clinical, epidemiological, demographic, and environmental registries. The data will be analysed using advanced statistical, sampling, and machine learning techniques. The study is based on several measurements obtained from three random samples of the Andalusian (Spain) population: general population aged 16 years and over, residents of disadvantaged areas, and people over the age of 55. Discussion: Given the current characteristics of this pandemic and its future repercussions, this project will generate relevant information on a regular basis, commencing from the beginning of the State of Alarm. It will also establish institutional alliances of great social value, explore and apply powerful and novel methodologies, and produce large, integrated, high-quality and open-access databases. The information described here will be vital for health systems in order to design tailor-made interventions aimed at improving the health care, health, and quality of life of the populations most affected by the COVID-19 pandemic.

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Impacto de la pandemia COVID-19 en la atención al paciente con cefalea en España: análisis de situación con una mirada al futuro

Cited by 24 publications

References 15 publications

Social Distancing in Chronic Migraine during the COVID-19 Outbreak: Results from a Multicenter Observational Study

Social Distancing in Chronic Migraine during the COVID-19 Outbreak: Results from a Multicenter Observational Study

Preliminary development of a deep learning-based automated primary headache diagnosis model using Japanese natural language processing of medical questionnaire

Impact of COVID-19 on the health of the general and more vulnerable population and its determinants: Health care and social survey-ESSOC, study protocol

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