Evidence map›Paper›PMID 37693725›Full record

ArticleFrontiers in public health2023

Digital health solution for monitoring and surveillance of Amyotrophic Lateral Sclerosis in Brazil.

Ingridy M P Barbalho, Aleika L A Fonseca, Felipe Fernandes, Jorge Henriques, Paulo Gil, Danilo Nagem, Raquel Lindquist, Thaisa Lima, João Paulo Queiroz Dos Santos, Jailton Paiva and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024
    Pooled it
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Ingridy M P Barbalho *Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Aleika L A Fonseca *Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Felipe FernandesLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Jorge HenriquesDepartment of Informatics Engineering, Center for Informatics and Systems of the University of Coimbra, Universidade de Coimbra, Coimbra, Portugal.
Paulo GilDepartment of Informatics Engineering, Center for Informatics and Systems of the University of Coimbra, Universidade de Coimbra, Coimbra, Portugal.
Danilo NagemLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Raquel LindquistDepartment of Physical Therapy, Rio Grande do Norte Federal University, Natal, Brazil.
Thaisa LimaBrazilian Ministry of Health, Brasília, Brazil.
João Paulo Queiroz Dos SantosAdvanced Nucleus of Technological Innovation (NAVI), Federal Institute of Education Science and Technology, Natal, Brazil.
Jailton PaivaLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Antonio H F MoraisLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Mário E T Dourado JúniorDepartment of Integrated Medicine, Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Ricardo A M ValentimLaboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Universidade Federal do Rio Grande do Norte · BRUniversity of Coimbra · PTFederal Center for Technological Education of Minas Gerais · BRMinistério da Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disease given its heterogeneity. Despite being known for many years, few countries have accurate information about the characteristics of people diagnosed with ALS, such as data regarding diagnosis and clinical features of the disease. In Brazil, the lack of information about ALS limits data for the research progress and public policy development that benefits people affected by this health condition. In this context, this article aims to show a digital health solution development and application for research, intervention, and strengthening of the response to ALS in the Brazilian Health System. The proposed solution is composed of two platforms: the Brazilian National ALS Registry, responsible for the data collection in a structured way from ALS patients all over Brazil; and the Brazilian National ALS Observatory, responsible for processing the data collected in the National Registry and for providing a monitoring room with indicators on people diagnosed with ALS in Brazil. The development of this solution was supported by the Brazilian Ministry of Health (MoH) and was carried out by a multidisciplinary team with expertise in ALS. This solution represents a tool with great potential for strengthening public policies and stands out for being the only public database on the disease, besides containing innovations that allow data collection by health professionals and/or patients. By using both platforms, it is believed that it will be possible to understand the demographic and epidemiological data of ALS in Brazil, since the data will be able to be analyzed by care teams and also by public health managers, both in the individual and collective monitoring of people living with ALS in Brazil.

Indexed as

Amyotrophic Lateral SclerosisNeurodegenerative DiseasesBrazilDatabases, FactualHealth PersonnelHumansepidemiological monitoringhealth indicatorshealth information systempublic healthpublic policyrare diseases

Identifiers

PMID37693725
PMCPMC10485256
OpenAlexW4386167859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.