Protocol for Project Fizzyo, an analytic longitudinal observational cohort study of physiotherapy for children and young people with cystic fibrosis, with interrupted time-series design

Raywood, Emma; Douglas, Helen; Kapoor, Kunal; Filipow, Nicole; Murray, Nicky; O’Connor, Rachel; Stott, Lee; Saul, Greg; Kuzhagaliyev, Tim; Davies, Gwyneth; Liakhovich, Olga; Schaik, Tempest van; Furtuna, Bianca; Booth, John; Shannon, Harriet; Bryon, Mandy; Main, Eleanor

doi:10.1136/bmjopen-2020-039587

Cited by 18 publications

(19 citation statements)

References 13 publications

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“…Variance analysis (analysis of variance) and significance tests such as permutations were also used. Further data analyses were conducted in a data-driven manner [223] with artificial intelligence, such as k-means [176] or unsupervised cluster analysis [172], recursive feature elimination technique [170], rotation random forest classifier [130], and supervised machine learning algorithms using logistic regression, decision tree, and random forest [215].…”

Section: Wearable Characteristicsmentioning

confidence: 99%

The Impact of Wearable Technologies in Health Research: Scoping Review

Huhn¹,

Axt²,

Gunga³

et al. 2022

JMIR Mhealth Uhealth

137

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Background Wearable devices hold great promise, particularly for data generation for cutting-edge health research, and their demand has risen substantially in recent years. However, there is a shortage of aggregated insights into how wearables have been used in health research. Objective In this review, we aim to broadly overview and categorize the current research conducted with affordable wearable devices for health research. Methods We performed a scoping review to understand the use of affordable, consumer-grade wearables for health research from a population health perspective using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) framework. A total of 7499 articles were found in 4 medical databases (PubMed, Ovid, Web of Science, and CINAHL). Studies were eligible if they used noninvasive wearables: worn on the wrist, arm, hip, and chest; measured vital signs; and analyzed the collected data quantitatively. We excluded studies that did not use wearables for outcome assessment and prototype studies, devices that cost >€500 (US $570), or obtrusive smart clothing. Results We included 179 studies using 189 wearable devices covering 10,835,733 participants. Most studies were observational (128/179, 71.5%), conducted in 2020 (56/179, 31.3%) and in North America (94/179, 52.5%), and 93% (10,104,217/10,835,733) of the participants were part of global health studies. The most popular wearables were fitness trackers (86/189, 45.5%) and accelerometer wearables, which primarily measure movement (49/189, 25.9%). Typical measurements included steps (95/179, 53.1%), heart rate (HR; 55/179, 30.7%), and sleep duration (51/179, 28.5%). Other devices measured blood pressure (3/179, 1.7%), skin temperature (3/179, 1.7%), oximetry (3/179, 1.7%), or respiratory rate (2/179, 1.1%). The wearables were mostly worn on the wrist (138/189, 73%) and cost <€200 (US $228; 120/189, 63.5%). The aims and approaches of all 179 studies revealed six prominent uses for wearables, comprising correlations—wearable and other physiological data (40/179, 22.3%), method evaluations (with subgroups; 40/179, 22.3%), population-based research (31/179, 17.3%), experimental outcome assessment (30/179, 16.8%), prognostic forecasting (28/179, 15.6%), and explorative analysis of big data sets (10/179, 5.6%). The most frequent strengths of affordable wearables were validation, accuracy, and clinical certification (104/179, 58.1%). Conclusions Wearables showed an increasingly diverse field of application such as COVID-19 prediction, fertility tracking, heat-related illness, drug effects, and psychological interventions; they also included underrepresented populations, such as individuals with rare diseases. There is a lack of research on wearable devices in low-resource contexts. Fueled by the COVID-19 pandemic, we see a shift toward more large-sized, web-based studies where wearables increased insights into the developing pandemic, including forecasting models and the effects of the pandemic. Some studies have indicated that big data extracted from wearables may potentially transform the understanding of population health dynamics and the ability to forecast health trends.

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Section: Wearable Characteristicsmentioning

confidence: 99%

The Impact of Wearable Technologies in Health Research: Scoping Review

Huhn¹,

Axt²,

Gunga³

et al. 2022

JMIR Mhealth Uhealth

137

View full text Add to dashboard Cite

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“…Essa análise permitiu identificar os perfis distintos de indivíduos com a patologia e qual o tipo de tratamento pode ser de melhor aplicação, a depender das suas variáveis sociodemográficas. (6) Outro, de forma online, faz o monitoramento de crianças para identificar possíveis padrões de comportamento que justifiquem a obesidade infantil. Contudo, com o fechamento das escolas na pandemia, o número de crianças ficou restrito.…”

Section: Data Science Inunclassified

Revisão Sistemática: Fisioterapia Na Era Do Big Data

Miranda¹,

Pontes²

2022

Rev. Bras. Saúde Funcional

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Introdução: A Fisioterapia é considerada uma ciência nova, contudo, com o número de especialidades reconhecidas e o aumento do conhecimento há um aumento do crescimento dos dados históricos e consequentemente da literatura científica. Para a produção de evidências de grandes bancos de dados de saúde são organizados e sistematizados através do Big Data a fim de gerar informação. O presente estudo tem como objetivo revisar a Fisioterapia na Era do Big Data. Método: O presente estudo consiste em uma revisão sistemática realizada em janeiro de 2022 em bases de dados. Foram utilizados os descritores “Big Data” e “Physiotherapy” com o empregador booleano “and”. Em um primeiro momento foram analisados títulos e resumos, e em um segundo momento foi realizada leitura na íntegra confirmando a inclusão do manuscrito. Resultado e Discussão: A busca inicial apontou um total de 61 títulos. Após a remoção dos duplicados e aplicar os critérios de inclusão um total de 10 estudos foram utilizados. Há uma diversidade de aplicações da IA e a saúde para inúmeras finalidades. Contudo, foi observado que não há delineamento específico nos estudos. Os estudos, em geral, possuem o mesmo objetivo e surgem para discutir o impacto da IA e a saúde. Considerações Finais: Com a finalidade de direcionar e apoiar o raciocínio clínico, a IA surge para agregar na atuação do profissional de saúde como uma ferramenta que o direciona a redução dos erros médicos assim como dos custos financeiros direcionando o diagnóstico e o tratamento com segurança.

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“…15 A growing number of platforms such as projects Fizzyo and CFHealthHub which remotely captures and analyzes adherence data and clinical outcomes such as airway clearance and nebulizer usage will in the future support intervention studies to improve the health care of pwCF. 16,17 A more recent retrospective multicenter observational study of 318 adults with CF used data capture of nebulizer usage through the CFHealthHub platform. 18 The low realworld adherence to therapy was confirmed, with half of the study population having objective adherence of less than one in three.…”

Section: Registriesmentioning

confidence: 99%

“…A growing number of platforms such as projects Fizzyo and CFHealthHub which remotely captures and analyzes adherence data and clinical outcomes such as airway clearance and nebulizer usage will in the future support intervention studies to improve the health care of pwCF. 16 17…”

Section: Adherence Monitoring Platformsmentioning

confidence: 99%

Impact of Digital Technologies on Clinical Care for Adults with Cystic Fibrosis

Peckham

Spoletini

2022

Semin Respir Crit Care Med

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The coronavirus disease 2019 pandemic accelerated the implementation of digital technologies, which have now become embedded as essential tools for the management of chronic disease, including cystic fibrosis (CF). Despite subsequent easing of restrictions and because of improved clinical stability resulting from the introduction of highly effective modulator therapy, digital technologies including video and telephone consultations and remote monitoring are likely to remain integral to the future delivery of CF health care. In this article, we explore some of the key developments in digital technologies, barriers to their adoption, and how the CF community is likely to embrace lessons learned from the recent pandemic to help modernize and reshape the future of CF care.

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Protocol for Project Fizzyo, an analytic longitudinal observational cohort study of physiotherapy for children and young people with cystic fibrosis, with interrupted time-series design

Cited by 18 publications

References 13 publications

The Impact of Wearable Technologies in Health Research: Scoping Review

The Impact of Wearable Technologies in Health Research: Scoping Review

Revisão Sistemática: Fisioterapia Na Era Do Big Data

Impact of Digital Technologies on Clinical Care for Adults with Cystic Fibrosis

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