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Castro M, Zavod M, Rutgersson A, Jörntén-Karlsson M, Dutta B, Hagger L. iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control. J Asthma Allergy 2024; 17:653-666. [PMID: 39011068 PMCID: PMC11247342 DOI: 10.2147/jaa.s458618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 06/18/2024] [Indexed: 07/17/2024] Open
Abstract
Purpose The iPREDICT program aimed to develop an integrated digital health solution capable of continuous data streaming, predicting changes in asthma control, and enabling early intervention. Patients and Methods As part of the iPREDICT program, asthma triggers were characterized by surveying 221 patients (aged ≥18 years) with self-reported asthma for a risk-benefit analysis of parameters predictive of changes in disease control. Seventeen healthy volunteers (age 25-65 years) tested 13 devices to measure these parameters and assessed their usability attributes. Results Patients identified irritants such as chemicals, allergens, weather changes, and physical activity as triggers that were the most relevant to deteriorating asthma control. Device testing in healthy volunteers revealed variable data formats/units and quality issues, such as missing data and low signal-to-noise ratio. Based on user preference and data capture validity, a spirometer, vital sign monitor, and sleep monitor formed the iPREDICT integrated system for continuous data streaming to develop a personalized/predictive algorithm for asthma control. Conclusion These findings emphasize the need to systematically compare devices based on several parameters, including usability and data quality, to develop integrated digital technology programs for asthma care.
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Affiliation(s)
- Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA
| | | | | | | | - Bhaskar Dutta
- Global Medical Affairs, Alexion, AstraZeneca, Boston, MA, USA
| | - Lynn Hagger
- Content Strategy & Experience Design, Digital Global Commercial, AstraZeneca, Gaithersburg, MD, USA
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2
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Smolinska S, Popescu FD, Izquierdo E, Antolín-Amérigo D, Price OJ, Alvarez-Perea A, Eguíluz Gracia I, Papadopoulos NG, Pfaar O, Fassio F, Hoffmann-Sommergruber K, Dramburg S, Agache I, Jutel M, Brough HA, Fonseca JA, Angier E, Boccabella C, Bonini M, Dunn Galvin A, Gibson PG, Gawlik R, Hannachi F, Kalayci Ö, Klimek L, Knibb R, Matricardi P, Chivato T. Telemedicine with special focus on allergic diseases and asthma-Status 2022: An EAACI position paper. Allergy 2024; 79:777-792. [PMID: 38041429 DOI: 10.1111/all.15964] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/31/2023] [Accepted: 11/08/2023] [Indexed: 12/03/2023]
Abstract
Efficacious, effective and efficient communication between healthcare professionals (HCP) and patients is essential to achieve a successful therapeutic alliance. Telemedicine (TM) has been used for decades but during the COVID-19 pandemic its use has become widespread. This position paper aims to describe the terminology and most important forms of TM among HCP and patients and review the existing studies on the uses of TM for asthma and allergy. Besides, the advantages and risks of TM are discussed, concluding that TM application reduces costs and time for both, HCP and patients, but cannot completely replace face-to-face visits for physical examinations and certain tests that are critical in asthma and allergy. From an ethical point of view, it is important to identify those involved in the TM process, ensure confidentiality and use communication channels that fully guarantee the security of the information. Unmet needs and directions for the future regarding implementation, data protection, privacy regulations, methodology and efficacy are described.
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Affiliation(s)
- Sylwia Smolinska
- Department of Clinical Immunology, Wroclaw Medical University, Wroclaw, Poland
| | - Florin-Dan Popescu
- Department of Allergology, Nicolae Malaxa Clinical Hospital, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Elena Izquierdo
- Department of Basic Medical Sciences, Facultad de Medicina, Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain
| | - Darío Antolín-Amérigo
- Servicio de Alergia, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Oliver J Price
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Alberto Alvarez-Perea
- Allergy Service, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Gregorio Marañón Health Research Institute, Madrid, Spain
| | - Ibon Eguíluz Gracia
- Allergy Department, Hospital Regional Universitario de Malaga and Allergy Research Group, Instituto de Investigacion Biomedica de Malaga (IBIMA-Plataforma BIONAND). RICORS "Inflammatory Diseases", Malaga, Spain
| | - Nikolaos G Papadopoulos
- Allergy Department, 2nd Pediatric Clinic, National Kapodistrian University of Athens, Athens, Greece
| | - Oliver Pfaar
- Department of Otorhinolaryngology, Head and Neck Surgery, Section of Rhinology and Allergy, University Hospital Marburg, Philipps-Universität Marburg, Marburg, Germany
| | | | | | - Stephanie Dramburg
- Department of Pediatric Respiratory Care, Immunology and Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany
| | - Ioana Agache
- Allergy and Clinical Immunology at Transylvania University, Brasov, Romania
| | - Marek Jutel
- Department of Clinical Immunology, Wroclaw Medical University, Wroclaw, Poland
- "ALL-MED" Medical Research Institute, Wroclaw, Poland
| | - Helen A Brough
- Children's Allergy Service, Evelina Children's Hospital, Guy's and St. Thomas' Hospital, London, UK
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - João A Fonseca
- CINTESIS@RISE, MEDCIDS, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Elizabeth Angier
- Primary Care, Population Science and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cristina Boccabella
- Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Matteo Bonini
- Department of Cardiovascular and Thoracic Sciences, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Clinical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- National Heart and Lung Institute (NHLI), Imperial College London, London, UK
| | | | - Peter G Gibson
- John Hunter Hospital, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - Radoslaw Gawlik
- Department of Internal Medicine, Allergology and Clinical Immunology, Medical University of Silesia, Katowice, Poland
| | - Farah Hannachi
- Immuno-Allergology Unit, Hospital Centre of Luxembourg, Luxembourg City, Luxembourg
| | - Ömer Kalayci
- Hacettepe University School of Medicine, Ankara, Turkey
| | - Ludger Klimek
- Center for Rhinology and Allergology, Wiesbaden, Germany
| | - Rebecca Knibb
- School of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK
| | - Paolo Matricardi
- Department of Pediatric Respiratory Care, Immunology and Intensive Care Medicine, Charité Universitätsmedizin, Berlin, Germany
| | - Tomás Chivato
- Department of Clinical Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain
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3
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van Dalen M, Snijders A, Dietvorst E, Bracké K, Nijhof SL, Keijsers L, Hillegers MHJ, Legerstee JS. Applications of the experience sampling method (ESM) in paediatric healthcare: a systematic review. Pediatr Res 2024; 95:887-900. [PMID: 38062256 PMCID: PMC10920184 DOI: 10.1038/s41390-023-02918-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/19/2023] [Accepted: 11/03/2023] [Indexed: 03/09/2024]
Abstract
BACKGROUND With the Experience Sampling Method (ESM) participants are asked to provide self-reports of their symptoms, feelings, thoughts and behaviours in daily life. This preregistered systematic review assessed how ESM is being used to monitor emotional well-being, somatic health, fatigue and pain in children and adolescents with a chronic somatic illness. METHODS Databases were searched from inception. Studies were selected if they included children or adolescents aged 0-25 years with a chronic somatic illness and used ESM focussing on mental health or psychosocial wellbeing, biopsychosocial factors and/or somatic health. Two reviewers extracted data of the final 47 papers, describing 48 studies. RESULTS Most studies evaluated what factors influence medical or psychological symptoms and how symptoms influence each other. Another common purpose was to study the feasibility of ESM or ESM as part of an app or intervention. Study methods were heterogeneous and most studies lack adequate reporting of ESM applications and results. CONCLUSIONS While ESM holds great potential for providing results and feedback to patients and caregivers, little use is being made of this option. Future studies should consider what they report in their studies, conduct a priori power analyses and how ESM can be embedded in clinical practice. IMPACT While ESM has many clinical applications, it is currently mostly used for research purposes. Current studies using ESM are heterogeneous and lack consistent, high-quality reporting. There is great potential in ESM for providing patients and parents with personalised feedback.
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Affiliation(s)
- Marije van Dalen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
| | - Anne Snijders
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Evelien Dietvorst
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Katrien Bracké
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Sanne L Nijhof
- Department of Paediatrics, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Loes Keijsers
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Jeroen S Legerstee
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
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Sarikloglou E, Fouzas S, Paraskakis E. Prediction of Asthma Exacerbations in Children. J Pers Med 2023; 14:20. [PMID: 38248721 PMCID: PMC10820562 DOI: 10.3390/jpm14010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 12/17/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
Asthma exacerbations are common in asthmatic children, even among those with good disease control. Asthma attacks result in the children and their parents missing school and work days; limit the patient's social and physical activities; and lead to emergency department visits, hospital admissions, or even fatal events. Thus, the prompt identification of asthmatic children at risk for exacerbation is crucial, as it may allow for proactive measures that could prevent these episodes. Children prone to asthma exacerbation are a heterogeneous group; various demographic factors such as younger age, ethnic group, low family income, clinical parameters (history of an exacerbation in the past 12 months, poor asthma control, poor adherence to treatment, comorbidities), Th2 inflammation, and environmental exposures (pollutants, stress, viral and bacterial pathogens) determine the risk of a future exacerbation and should be carefully considered. This paper aims to review the existing evidence regarding the predictors of asthma exacerbations in children and offer practical monitoring guidance for promptly recognizing patients at risk.
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Affiliation(s)
| | - Sotirios Fouzas
- Department of Pediatrics, University of Patras Medical School, 26504 Patras, Greece;
| | - Emmanouil Paraskakis
- Paediatric Respiratory Unit, Paediatric Department, University of Crete, 71500 Heraklion, Greece
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5
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Pinnock H, Hui CY, van Boven JF. Implementation of digital home monitoring and management of respiratory disease. Curr Opin Pulm Med 2023; 29:302-312. [PMID: 37132298 PMCID: PMC10241431 DOI: 10.1097/mcp.0000000000000965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
PURPOSE OF REVIEW Digital respiratory monitoring interventions (e.g. smart inhalers and digital spirometers) can improve clinical outcomes and/or organizational efficiency, and the focus is shifting to sustainable implementation as an approach to delivering respiratory care. This review considers key aspects of the technology infrastructure, discusses the regulatory, financial and policy context that influence implementation, and highlights the over-arching societal themes of equity, trust and communication. RECENT FINDINGS Technological requirements include developing interoperable and connected systems; establishing stable, wide internet coverage; addressing data accuracy and monitoring adherence; realising the potential of artificial intelligence; and avoiding clinician data overload. Policy challenges include concerns about quality assurance and increasingly complex regulatory systems. Financial barriers include lack of clarity over cost-effectiveness, budget impact and reimbursement. Societal concerns focus on the potential to increase inequities because of poor e-health literacy, deprivation or lack of available infrastructure, the need to understand the implications for patient/professional interactions of shifting care to remote delivery and ensuring confidentiality of personal data. SUMMARY Understanding and addressing the implementation challenges posed by gaps in policy, regulatory, financial, and technical infrastructure is essential to support delivery of equitable respiratory care that is acceptable to patients and professionals.
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Affiliation(s)
| | - Chi Yan Hui
- Usher Institute, The University of Edinburgh, UK
| | - Job F.M. van Boven
- Department of Clinical Pharmacy and Pharmacology, Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, The Netherlands
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6
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Pinnock H, Noble M, Lo D, McClatchey K, Marsh V, Hui CY. Personalised management and supporting individuals to live with their asthma in a primary care setting. Expert Rev Respir Med 2023; 17:577-596. [PMID: 37535011 DOI: 10.1080/17476348.2023.2241357] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/24/2023] [Indexed: 08/04/2023]
Abstract
INTRODUCTION Complementing recognition of biomedical phenotypes, a primary care approach to asthma care recognizes diversity of disease, health beliefs, and lifestyle at a population and individual level. AREAS COVERED We review six aspects of personalized care particularly pertinent to primary care management of asthma: personalizing support for individuals living with asthma; targeting asthma care within populations; managing phenotypes of wheezy pre-school children; personalizing management to the individual; meeting individual preferences for provision of asthma care; optimizing digital approaches to enhance personalized care. EXPERT OPINION In a primary care setting, personalized management and supporting individuals to live with asthma extend beyond the contemporary concepts of biological phenotypes and pharmacological 'treatable traits' to encompass evidence-based tailored support for self-management, and delivery of patient-centered care including motivational interviewing. It extends to how we organize clinical practiceand the choices provided in mode of consultation. Diagnostic uncertainty due to recognition of phenotypes of pre-school wheeze remains a challenge for primary care. Digital health can support personalized management, but there are concerns about increasing inequities. This broad approach reflects the traditionally holistic ethos of primary care ('knowing their patients and understanding their communities'), but the core concepts resonate with all healthcare.
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Affiliation(s)
- Hilary Pinnock
- Usher Institute, The University of Edinburgh, Edinburgh, UK
- Whitstable Medical Practice, Whitstable, Kent, UK
| | - Mike Noble
- Primary Care Research Group, Institute of Health Research, University of Exeter Medical School, Exeter, UK
- Acle Medical Centre, Norfolk, UK
| | - David Lo
- Department of Respiratory Sciences, College of Life Sciences, NIHR Biomedical Research Centre (Respiratory Theme), University of Leicester, Leicester, UK
- Department of Paediatric Respiratory Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Viv Marsh
- Usher Institute, The University of Edinburgh, Edinburgh, UK
- CYP Asthma Transformation Black Country Integrated Care Board, Wolverhampton, UK
| | - Chi Yan Hui
- Usher Institute, The University of Edinburgh, Edinburgh, UK
- Deanery of Molecular, Genetic and Population Health Sciences, The University of Edinburgh, Edinburgh, UK
- The UK Engineering Council, London, UK
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Bindler R, Haverkamp HC, O’Flanagan H, Whicker J, Rappold AG, Walden V, Postma J. Feasibility and acceptability of home monitoring with portable spirometry in young adults with asthma. J Asthma 2023; 60:1474-1479. [PMID: 36525469 PMCID: PMC10191873 DOI: 10.1080/02770903.2022.2160345] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/02/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Self-monitoring asthma control is a key component of asthma management. Few studies have reported usability and acceptability of portable spirometry among young adults with asthma. Portable spirometry offers a practical solution to monitoring airway narrowing at home. The purpose of this paper was to determine if self-administered spirometry is feasible and acceptable in young adults with asthma and whether regular monitoring resulted in improved airway function as measured by forced expiratory volume in one second (FEV1). METHODS Sixty-seven young adults (18-26 years) with self-reported asthma participated in a clinical trial during wildfire season which measured FEV1 as an outcome measure. Data was collected at baseline, week 4, and week 8 using a portable spirometer linked to a smartphone application. A subset of intervention participants completed spirometry twice daily. Acceptability of self-administered spirometry was evaluated after the trial among participants that volunteered to submit a survey and be interviewed. RESULTS At baseline, all 67 participants (100.0%) completed their scheduled spirometry readings which declined to 94.0% (n = 63) at week 4 and 86.6% (n = 58) at week 8. Daily readings were completed 83.2% of the time in the mornings and 84.3% of the time in the evenings. Mean FEV1 values were lower than predicted values, but above the lower limit of expected. FEV1 remained steady throughout the study period. Over two-thirds of participants used the notes feature in the application and described symptoms, asthma triggers, mitigating actions and test-taking issues. CONCLUSIONS Young adults in our sample were highly compliant with regular, self-administered spirometry.
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Affiliation(s)
- Ross Bindler
- Washington State University College of Nursing, Spokane, WA, USA
| | - Hans C. Haverkamp
- Elson S. Floyd College of Medicine Washington State University, Spokane, WA, USA
| | - Hannah O’Flanagan
- Seattle Children’s Hospital, Seattle, WA, USA
- At the time this research was completed, she was an undergraduate nursing student at Washington State University College of Nursing, Spokane, WA, USA
| | | | - Ana G. Rappold
- Office of Research and Development Center for Public Health and Environmental Assessment, United States Environmental Protection Agency (U.S. EPA), Durham, North Carolina, USA
| | - Von Walden
- Voiland College of Engineering and Architecture Washington State University, Pullman, WA, USA
| | - Julie Postma
- Washington State University College of Nursing, Spokane, WA, USA
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Tsang KCH, Pinnock H, Wilson AM, Salvi D, Shah SA. Home monitoring with connected mobile devices for asthma attack prediction with machine learning. Sci Data 2023; 10:370. [PMID: 37291158 PMCID: PMC10248342 DOI: 10.1038/s41597-023-02241-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/15/2023] [Indexed: 06/10/2023] Open
Abstract
Monitoring asthma is essential for self-management. However, traditional monitoring methods require high levels of active engagement, and some patients may find this tedious. Passive monitoring with mobile-health devices, especially when combined with machine-learning, provides an avenue to reduce management burden. Data for developing machine-learning algorithms are scarce, and gathering new data is expensive. A few datasets, such as the Asthma Mobile Health Study, are publicly available, but they only consist of self-reported diaries and lack any objective and passively collected data. To fill this gap, we carried out a 2-phase, 7-month AAMOS-00 observational study to monitor asthma using three smart-monitoring devices (smart-peak-flow-meter/smart-inhaler/smartwatch), and daily symptom questionnaires. Combined with localised weather, pollen, and air-quality reports, we collected a rich longitudinal dataset to explore the feasibility of passive monitoring and asthma attack prediction. This valuable anonymised dataset for phase-2 of the study (device monitoring) has been made publicly available. Between June-2021 and June-2022, in the midst of UK's COVID-19 lockdowns, 22 participants across the UK provided 2,054 unique patient-days of data.
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Affiliation(s)
- Kevin C H Tsang
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK.
- Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
| | - Hilary Pinnock
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew M Wilson
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
- Norwich University Hospital Foundation Trust, Colney Lane, Norwich, UK
| | - Dario Salvi
- Internet of Things and People Research Centre, Malmö University, Malmö, Sweden
| | - Syed Ahmar Shah
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK.
- Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
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Novak R, Robinson JA, Frantzidis C, Sejdullahu I, Persico MG, Kontić D, Sarigiannis D, Kocman D. Integrated assessment of personal monitor applications for evaluating exposure to urban stressors: A scoping review. ENVIRONMENTAL RESEARCH 2023; 226:115685. [PMID: 36921791 DOI: 10.1016/j.envres.2023.115685] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/23/2023] [Accepted: 03/11/2023] [Indexed: 06/18/2023]
Abstract
Urban stressors pose a health risk, and individual-level assessments provide necessary and fine-grained insight into exposure. An ever-increasing amount of research literature on individual-level exposure to urban stressors using data collected with personal monitors, has called for an integrated assessment approach to identify trends, gaps and needs, and provide recommendations for future research. To this end, a scoping review of the respective literature was performed, as part of the H2020 URBANOME project. Moreover, three specific aims were identified: (i) determine current state of research, (ii) analyse literature according with a waterfall methodological framework and identify gaps and needs, and (iii) provide recommendations for more integrated, inclusive and robust approaches. Knowledge and gaps were extracted based on a systematic approach, e.g., data extraction questionnaires, as well as through the expertise of the researchers performing the review. The findings were assessed through a waterfall methodology of delineating projects into four phases. Studies described in the papers vary in their scope, with most assessing exposure in a single macro domain, though a trend of moving towards multi-domain assessment is evident. Simultaneous measurements of multiple stressors are not common, and papers predominantly assess exposure to air pollution. As urban environments become more diverse, stakeholders from different groups are included in the study designs. Most frequently (per the quadruple helix model), civil society/NGO groups are involved, followed by government and policymakers, while business or private sector stakeholders are less frequently represented. Participants in general function as data collectors and are rarely involved in other phases of the research. While more active involvement is not necessary, more collaborative approaches show higher engagement and motivation of participants to alter their lifestyles based on the research results. The identified trends, gaps and needs can aid future exposure research and provide recommendations on addressing different urban communities and stakeholders.
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Affiliation(s)
- Rok Novak
- Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, 1000, Ljubljana, Slovenia.
| | - Johanna Amalia Robinson
- Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, 1000, Ljubljana, Slovenia; Center for Research and Development, Slovenian Institute for Adult Education, Ulica Ambrožiča Novljana 5, 1000, Ljubljana, Slovenia
| | - Christos Frantzidis
- Biomedical Engineering & Aerospace Neuroscience (BEAN), Laboratory of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Greece; Greek Aerospace Medical Association and Space Research (GASMA-SR), Greece
| | - Iliriana Sejdullahu
- Ambiente Italia Società a Responsabilità Limitata, Department of Adaptation and Resilience, 20129, Milan, Italy
| | - Marco Giovanni Persico
- Urban Resilience Department, City of Milan, Italy; Postgraduate School of Health Statistics and Biometrics, Department of Clinical and Community Sciences, University of Milan, Milan, Italy
| | - Davor Kontić
- Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia; Centre for Participatory Research, Jožef Stefan Institute, 1000, Ljubljana, Slovenia
| | - Dimosthenis Sarigiannis
- Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece; HERACLES Research Centre on the Exposome and Health, Center for Interdisciplinary Research and Innovation, 54124, Thessaloniki, Greece; Department of Science, Technology and Society, University School of Advanced Study IUSS, 27100, Pavia, Italy
| | - David Kocman
- Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia
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Southgate G, Yassaee AA, Harmer MJ, Livesey H, Pryde K, Roland D. Use of Telemedicine in Pediatric Services for 4 Representative Clinical Conditions: Scoping Review. J Med Internet Res 2022; 24:e38267. [DOI: 10.2196/38267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/21/2022] [Accepted: 09/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background
Telemedicine is becoming routine in health care. Postpandemic, a universal return to face-to-face consultations may risk a loss of some of the advantages of telemedicine. However, rapid implementation and adoption without robust evaluation of usability, efficacy, and effectiveness could potentially lead to suboptimal health outcomes and downstream challenges to providers.
Objective
This review assesses telemedicine interventions against international guidance and sufficiency of evidence to support postpandemic utilization in pediatric settings.
Methods
This scoping review was performed following searches on PubMed, Embase, and CINAHL databases on April 15, 2021, and May 31, 2022, and examined studies focused on telemedicine, remote consultation, video call, or remote patient monitoring in children (0-18 years) receiving outpatient care for diabetes, asthma, epilepsy, or renal disease. Exclusion criteria included studies published before 2011 as the technologies used have likely been improved or replaced, studies in adult populations or where it was not possible to disaggregate data for participants younger than 18 years as the focus of the review was on pediatric care, and studies not published in English. Data were extracted by 4 authors, and the data were corroborated by a second reviewer. Studies were examined for feasibility and usability, clinical and process outcomes, and cost-effectiveness.
Results
Of the 3158 studies identified, 56 were suitable for final inclusion and analysis. Data on feasibility or usability of interventions (48 studies) were overwhelmingly positive in support of telemedicine interventions, with common themes including convenience, perceived cost savings, and ease of use. However, use in preference to usual care was rarely explored. Clinical and process outcome data (31 studies) were mostly positive. Across all studies, there was limited measurement of standardized clinical outcomes, although these were more commonly reported in asthma (peak flow) and diabetes (glycated hemoglobin [HbA1c]). Implementation science data generally supported cost-effectiveness of telemedicine with a reduction of health care costs.
Conclusions
There is promising evidence supporting telemedicine in pediatric settings. However, there is a lack of evaluation of telemedicine in comparison with usual outpatient care for noninferiority of clinical outcomes, and this review highlights the need for a more standardized approach to evaluation of digital interventions.
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Cui Y, Eccles KM, Kwok RK, Joubert BR, Messier KP, Balshaw DM. Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities. TOXICS 2022; 10:403. [PMID: 35878308 PMCID: PMC9316943 DOI: 10.3390/toxics10070403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/09/2022] [Accepted: 07/14/2022] [Indexed: 12/04/2022]
Abstract
Quantifying the exposome is key to understanding how the environment impacts human health and disease. However, accurately, and cost-effectively quantifying exposure in large population health studies remains a major challenge. Geospatial technologies offer one mechanism to integrate high-dimensional environmental data into epidemiology studies, but can present several challenges. In June 2021, the National Institute of Environmental Health Sciences (NIEHS) held a workshop bringing together experts in exposure science, geospatial technologies, data science and population health to address the need for integrating multiscale geospatial environmental data into large population health studies. The primary objectives of the workshop were to highlight recent applications of geospatial technologies to examine the relationships between environmental exposures and health outcomes; identify research gaps and discuss future directions for exposure modeling, data integration and data analysis strategies; and facilitate communications and collaborations across geospatial and population health experts. This commentary provides a high-level overview of the scientific topics covered by the workshop and themes that emerged as areas for future work, including reducing measurement errors and uncertainty in exposure estimates, and improving data accessibility, data interoperability, and computational approaches for more effective multiscale and multi-source data integration, along with potential solutions.
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Affiliation(s)
- Yuxia Cui
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
| | - Kristin M. Eccles
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (K.M.E.); (K.P.M.)
| | - Richard K. Kwok
- Office of the Director, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA;
| | - Bonnie R. Joubert
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
| | - Kyle P. Messier
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (K.M.E.); (K.P.M.)
| | - David M. Balshaw
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
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Tsang KCH, Pinnock H, Wilson AM, Shah SA. Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review. J Asthma Allergy 2022; 15:855-873. [PMID: 35791395 PMCID: PMC9250768 DOI: 10.2147/jaa.s285742] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 06/16/2022] [Indexed: 12/21/2022] Open
Abstract
Background Asthma is a variable long-term condition. Currently, there is no cure for asthma and the focus is, therefore, on long-term management. Mobile health (mHealth) is promising for chronic disease management but to be able to realize its potential, it needs to go beyond simply monitoring. mHealth therefore needs to leverage machine learning to provide tailored feedback with personalized algorithms. There is a need to understand the extent of machine learning that has been leveraged in the context of mHealth for asthma management. This review aims to fill this gap. Methods We searched PubMed for peer-reviewed studies that applied machine learning to data derived from mHealth for asthma management in the last five years. We selected studies that included some human data other than routinely collected in primary care and used at least one machine learning algorithm. Results Out of 90 studies, we identified 22 relevant studies that were then further reviewed. Broadly, existing research efforts can be categorized into three types: 1) technology development, 2) attack prediction, 3) patient clustering. Using data from a variety of devices (smartphones, smartwatches, peak flow meters, electronic noses, smart inhalers, and pulse oximeters), most applications used supervised learning algorithms (logistic regression, decision trees, and related algorithms) while a few used unsupervised learning algorithms. The vast majority used traditional machine learning techniques, but a few studies investigated the use of deep learning algorithms. Discussion In the past five years, many studies have successfully applied machine learning to asthma mHealth data. However, most have been developed on small datasets with internal validation at best. Small sample sizes and lack of external validation limit the generalizability of these studies. Future research should collect data that are more representative of the wider asthma population and focus on validating the derived algorithms and technologies in a real-world setting.
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Affiliation(s)
- Kevin C H Tsang
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Hilary Pinnock
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew M Wilson
- Asthma UK Centre for Applied Research, and Norwich Medical School, University of East Anglia, Norwich, UK
| | - Syed Ahmar Shah
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, UK
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Vision for Improving Pregnancy Health: Innovation and the Future of Pregnancy Research. Reprod Sci 2022; 29:2908-2920. [PMID: 35534766 PMCID: PMC9537127 DOI: 10.1007/s43032-022-00951-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/15/2022] [Indexed: 10/25/2022]
Abstract
Understanding, predicting, and preventing pregnancy disorders have been a major research target. Nonetheless, the lack of progress is illustrated by research results related to preeclampsia and other hypertensive pregnancy disorders. These remain a major cause of maternal and infant mortality worldwide. There is a general consensus that the rate of progress toward understanding pregnancy disorders lags behind progress in other aspects of human health. In this presentation, we advance an explanation for this failure and suggest solutions. We propose that progress has been impeded by narrowly focused research training and limited imagination and innovation, resulting in the failure to think beyond conventional research approaches and analytical strategies. Investigations have been largely limited to hypothesis-generating approaches constrained by attempts to force poorly defined complex disorders into a single "unifying" hypothesis. Future progress could be accelerated by rethinking this approach. We advise taking advantage of innovative approaches that will generate new research strategies for investigating pregnancy abnormalities. Studies should begin before conception, assessing pregnancy longitudinally, before, during, and after pregnancy. Pregnancy disorders should be defined by pathophysiology rather than phenotype, and state of the art agnostic assessment of data should be adopted to generate new ideas. Taking advantage of new approaches mandates emphasizing innovation, inclusion of large datasets, and use of state of the art experimental and analytical techniques. A revolution in understanding pregnancy-associated disorders will depend on networks of scientists who are driven by an intense biological curiosity, a team spirit, and the tools to make new discoveries.
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Tay TR, van Boven JFM, Chan A, Hew M. Electronic Inhaler Monitoring for Chronic Airway Disease: Development and Application of a Multidimensional Efficacy Framework. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:1189-1201.e1. [PMID: 34915225 DOI: 10.1016/j.jaip.2021.11.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/12/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
Inhaled therapy is the cornerstone of chronic airway disease therapy, but poor adherence to controller inhalers worsens clinical outcomes and increases cost. Monitoring of controller use is needed to improve adherence, and monitoring of reliever use can predict impending exacerbations. Both can be accurately achieved by electronic inhaler monitoring (EIM). However, evidence for EIM use in clinical practice is limited and varied, and knowledge gaps remain across different outcomes and health settings. We aimed to develop a framework to assess EIM systematically across all aspects of efficacy, apply this framework to the current literature, and identify gaps in efficacy to inform future development in the field. We adapted an existing framework for diagnostic tests, consisting of six levels of efficacy with ascending clinical relevance: technical, diagnostic accuracy, diagnostic thinking, therapeutic, patient outcome, and societal efficacy. Tailoring this framework to EIM, we incorporated expert feedback and applied it to the EIM efficacy literature. We found that EIM has good diagnostic accuracy, diagnostic thinking, and therapeutic efficacies, but evidence is lacking for specific aspects of technical, patient outcome, and societal efficacies. Further development of EIM requires improved reliability, usability, and data security for patients, and optimal integration with electronic medical records and overall patient care. Defining appropriate target patient groups and pairing EIM data with effective interventions, in conjunction with reducing costs through technological innovation and economies of scale, will enhance patient and societal outcome efficacies.
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Affiliation(s)
- Tunn Ren Tay
- Department of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore
| | - Job F M van Boven
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, University of Groningen, Groningen, the Netherlands; Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia; Medication Adherence Expertise Center of the Northern Netherlands, Groningen, the Netherlands
| | - Amy Chan
- School of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Mark Hew
- Allergy, Asthma, and Clinical Immunology, Alfred Hospital, Melbourne, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
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Agache I, Sampath V, Aguilera J, Akdis CA, Akdis M, Barry M, Bouagnon A, Chinthrajah S, Collins W, Dulitzki C, Erny B, Gomez J, Goshua A, Jutel M, Kizer KW, Kline O, LaBeaud AD, Pali-Schöll I, Perrett KP, Peters RL, Plaza MP, Prunicki M, Sack T, Salas RN, Sindher SB, Sokolow SH, Thiel C, Veidis E, Wray BD, Traidl-Hoffmann C, Witt C, Nadeau KC. Climate change and global health: A call to more research and more action. Allergy 2022; 77:1389-1407. [PMID: 35073410 DOI: 10.1111/all.15229] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 12/15/2022]
Abstract
There is increasing understanding, globally, that climate change and increased pollution will have a profound and mostly harmful effect on human health. This review brings together international experts to describe both the direct (such as heat waves) and indirect (such as vector-borne disease incidence) health impacts of climate change. These impacts vary depending on vulnerability (i.e., existing diseases) and the international, economic, political, and environmental context. This unique review also expands on these issues to address a third category of potential longer-term impacts on global health: famine, population dislocation, and environmental justice and education. This scholarly resource explores these issues fully, linking them to global health in urban and rural settings in developed and developing countries. The review finishes with a practical discussion of action that health professionals around the world in our field can yet take.
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Affiliation(s)
- Ioana Agache
- Faculty of Medicine, Transylvania University, Brasov, Romania
| | - Vanitha Sampath
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - Juan Aguilera
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - Cezmi A Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University Zurich, Davos, Switzerland
| | - Mubeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University Zurich, Davos, Switzerland
| | - Michele Barry
- Center for Innovation in Global Health, Stanford University, Stanford, California, USA
| | - Aude Bouagnon
- Department of Physiology, University of California San Francisco, San Francisco, California, USA
| | - Sharon Chinthrajah
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - William Collins
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
- Division of Hospital Medicine, Stanford University, Stanford, California, USA
| | - Coby Dulitzki
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - Barbara Erny
- Department of Internal Medicine, Division of Med/Pulmonary and Critical Care Medicine, Stanford University, Stanford, California, USA
| | - Jason Gomez
- Stanford School of Medicine, Stanford, California, USA
- Stanford Graduate School of Business, Stanford, California, USA
| | - Anna Goshua
- Stanford School of Medicine, Stanford, California, USA
| | - Marek Jutel
- Department of Clinical Immunology, Wroclaw Medical University, Wroclaw, Poland
- "ALL-MED" Medical Research Institute, Wroclaw, Poland
| | | | - Olivia Kline
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - A Desiree LaBeaud
- Department of Pediatrics, Division of Infectious Disease, Stanford University, Stanford, California, USA
| | - Isabella Pali-Schöll
- Comparative Medicine, Interuniversity Messerli Research Institute, University of Veterinary Medicine/Medical University/University Vienna, Vienna, Austria
- Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Immunology and Infectiology, Medical University of Vienna, Vienna, Austria
| | - Kirsten P Perrett
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Parkville, Victoria, Australia
- Royal Children's Hospital, Parkville, Victoria, Australia
| | - Rachel L Peters
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Pediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Maria Pilar Plaza
- Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany
| | - Mary Prunicki
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - Todd Sack
- My Green Doctor Foundation, Jacksonville, Florida, USA
| | - Renee N Salas
- Harvard Global Health Institute, Cambridge, Massachusetts, USA
- Center for Climate, Health, and the Global Environment, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Sayantani B Sindher
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
| | - Susanne H Sokolow
- Woods Institute for the Environment, Stanford University, Stanford, California, USA
- Marine Science Institute, University of California Santa Barbara, Santa Barbara, California, USA
| | - Cassandra Thiel
- Department of Population Health, NYU Grossman School of Medicine, NY, USA
| | - Erika Veidis
- Center for Innovation in Global Health, Stanford University, Stanford, California, USA
| | - Brittany Delmoro Wray
- Center for Innovation in Global Health, Stanford University, Stanford, California, USA
- Woods Institute for the Environment, Stanford University, Stanford, California, USA
- London School of Hygiene and Tropical Medicine Centre on Climate Change and Planetary Health, London, UK
| | - Claudia Traidl-Hoffmann
- Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
- Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany
- Christine Kühne Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - Christian Witt
- Institute of Physiology, Division of Pneumology, Charité-Universitätsmedizin, Berlin, Germany
| | - Kari C Nadeau
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Stanford University, Stanford, California, USA
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Hao H, Eckel SP, Hosseini A, Van Vliet EDS, Dzubur E, Dunton G, Chang SY, Craig K, Rocchio R, Bastain T, Gilliland F, Okelo S, Ross MK, Sarrafzadeh M, Bui AAT, Habre R. Daily Associations of Air Pollution and Pediatric Asthma Risk Using the Biomedical REAI-Time Health Evaluation (BREATHE) Kit. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063578. [PMID: 35329265 PMCID: PMC8950308 DOI: 10.3390/ijerph19063578] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/05/2022] [Accepted: 03/11/2022] [Indexed: 02/01/2023]
Abstract
Background: Exposure to air pollution is associated with acute pediatric asthma exacerbations, including reduced lung function, rescue medication usage, and increased symptoms; however, most studies are limited in investigating longitudinal changes in these acute effects. This study aims to investigate the effects of daily air pollution exposure on acute pediatric asthma exacerbation risk using a repeated-measures design. Methods: We conducted a panel study of 40 children aged 8−16 years with moderate-to-severe asthma. We deployed the Biomedical REAI-Time Health Evaluation (BREATHE) Kit developed in the Los Angeles PRISMS Center to continuously monitor personal exposure to particulate matter of aerodynamic diameter < 2.5 µm (PM2.5), relative humidity and temperature, geolocation (GPS), and asthma outcomes including lung function, medication use, and symptoms for 14 days. Hourly ambient (PM2.5, nitrogen dioxide (NO2), ozone (O3)) and traffic-related (nitrogen oxides (NOx) and PM2.5) air pollution exposures were modeled based on location. We used mixed-effects models to examine the association of same day and lagged (up to 2 days) exposures with daily changes in % predicted forced expiratory volume in 1 s (FEV1) and % predicted peak expiratory flow (PEF), count of rescue inhaler puffs, and symptoms. Results: Participants were on average 12.0 years old (range: 8.4−16.8) with mean (SD) morning %predicted FEV1 of 67.9% (17.3%) and PEF of 69.1% (18.4%) and 1.4 (3.5) puffs per day of rescue inhaler use. Participants reported chest tightness, wheeze, trouble breathing, and cough symptoms on 36.4%, 17.5%, 32.3%, and 42.9%, respectively (n = 217 person-days). One SD increase in previous day O3 exposure was associated with reduced morning (beta [95% CI]: −4.11 [−6.86, −1.36]), evening (−2.65 [−5.19, −0.10]) and daily average %predicted FEV1 (−3.45 [−6.42, −0.47]). Daily (lag 0) exposure to traffic-related PM2.5 exposure was associated with reduced morning %predicted PEF (−3.97 [−7.69, −0.26]) and greater odds of “feeling scared of trouble breathing” symptom (odds ratio [95% CI]: 1.83 [1.03, 3.24]). Exposure to ambient O3, NOx, and NO was significantly associated with increased rescue inhaler use (rate ratio [95% CI]: O3 1.52 [1.02, 2.27], NOx 1.61 [1.23, 2.11], NO 1.80 [1.37, 2.35]). Conclusions: We found significant associations of air pollution exposure with lung function, rescue inhaler use, and “feeling scared of trouble breathing.” Our study demonstrates the potential of informatics and wearable sensor technologies at collecting highly resolved, contextual, and personal exposure data for understanding acute pediatric asthma triggers.
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Affiliation(s)
- Hua Hao
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Anahita Hosseini
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA 90095, USA; (A.H.); (M.S.)
| | | | - Eldin Dzubur
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Genevieve Dunton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Shih Ying Chang
- Sonoma Technology, Inc., Petaluma, CA 94954, USA; (S.Y.C.); (K.C.)
| | - Kenneth Craig
- Sonoma Technology, Inc., Petaluma, CA 94954, USA; (S.Y.C.); (K.C.)
| | - Rose Rocchio
- Mobilize Labs, University of California Los Angeles, Los Angeles, CA 90095, USA;
| | - Theresa Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Frank Gilliland
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
| | - Sande Okelo
- Department of Pediatrics, University of California Los Angeles, Los Angeles, CA 90095, USA; (S.O.); (M.K.R.)
| | - Mindy K. Ross
- Department of Pediatrics, University of California Los Angeles, Los Angeles, CA 90095, USA; (S.O.); (M.K.R.)
| | - Majid Sarrafzadeh
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA 90095, USA; (A.H.); (M.S.)
| | - Alex A. T. Bui
- Medical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA 90095, USA;
| | - Rima Habre
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90039, USA; (H.H.); (S.P.E.); (E.D.); (G.D.); (T.B.); (F.G.)
- Correspondence:
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Philip BJ, Abdelrazek M, Bonti A, Barnett S, Grundy J. Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis. JMIR Mhealth Uhealth 2022; 10:e30468. [PMID: 35262499 PMCID: PMC8943537 DOI: 10.2196/30468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 09/10/2021] [Accepted: 12/10/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps and user tendency to use several apps, these are important factors impacting user experience. However, there is limited work on analyzing the data collection aspect of mobile health (mHealth) apps. OBJECTIVE This study aims to analyze what data mHealth apps across different categories usually collect from end users and how these data are collected. This information is important to guide the development of a common data model from current widely adopted apps. This will also inform what built-in sensors and wearables, a comprehensive mHealth platform should support. METHODS In our empirical investigation of mHealth apps, we identified app categories listed in a curated mHealth app library, which was then used to explore the Google Play Store for health and medical apps that were then filtered using our selection criteria. We downloaded these apps from a mirror site hosting Android apps and analyzed them using a script that we developed around the popular AndroGuard tool. We analyzed the use of Bluetooth peripherals and built-in sensors to understand how a given app collects health data. RESULTS We retrieved 3251 apps meeting our criteria, and our analysis showed that 10.74% (349/3251) of these apps requested Bluetooth access. We found that 50.9% (259/509) of the Bluetooth service universally unique identifiers to be known in these apps, with the remainder being vendor specific. The most common health-related Bluetooth Low Energy services using known universally unique identifiers were Heart Rate, Glucose, and Body Composition. App permissions showed the most used device module or sensor to be the camera (669/3251, 20.57%), closely followed by location (598/3251, 18.39%), with the highest occurrence in the staying healthy app category. CONCLUSIONS We found that not many health apps used built-in sensors or peripherals for collecting health data. The small number of the apps using Bluetooth, with an even smaller number of apps using standard Bluetooth Low Energy services, indicates a wider use of proprietary algorithms and custom services, which restrict the device use. The use of standard profiles could open this ecosystem further and could provide end users more options for apps. The relatively small proportion of apps using built-in sensors along with a high reliance on manual data entry suggests the need for more research into using sensors for data collection in health and fitness apps, which may be more desirable and improve end user experience.
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Affiliation(s)
| | - Mohamed Abdelrazek
- School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne, Australia
| | - Alessio Bonti
- School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne, Australia
| | - Scott Barnett
- Applied Artificial Intelligence Institute, Deakin University, Melbourne, Australia
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Fishe J, Zheng Y, Lyu T, Bian J, Hu H. Environmental effects on acute exacerbations of respiratory diseases: A real-world big data study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150352. [PMID: 34555607 PMCID: PMC8627495 DOI: 10.1016/j.scitotenv.2021.150352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 09/11/2021] [Accepted: 09/11/2021] [Indexed: 05/06/2023]
Abstract
BACKGROUND The effects of weather periods, race/ethnicity, and sex on environmental triggers for respiratory exacerbations are not well understood. This study linked the OneFlorida network (~15 million patients) with an external exposome database to analyze environmental triggers for asthma, bronchitis, and COPD exacerbations while accounting for seasonality, sex, and race/ethnicity. METHODS This is a case-crossover study of OneFlorida database from 2012 to 2017 examining associations of asthma, bronchitis, and COPD exacerbations with exposures to heat index, PM 2.5 and O 3. We spatiotemporally linked exposures using patients' residential addresses to generate average exposures during hazard and control periods, with each case serving as its own control. We considered age, sex, race/ethnicity, and neighborhood deprivation index as potential effect modifiers in conditional logistic regression models. RESULTS A total of 1,148,506 exacerbations among 533,446 patients were included. Across all three conditions, hotter heat indices conferred increasing exacerbation odds, except during November to March, where the opposite was seen. There were significant differences when stratified by race/ethnicity (e.g., for asthma in April, May, and October, heat index quartile 4, odds were 1.49 (95% confidence interval (CI) 1.42-1.57) for Non-Hispanic Blacks and 2.04 (95% CI 1.92-2.17) for Hispanics compared to 1.27 (95% CI 1.19-1.36) for Non-Hispanic Whites). Pediatric patients' odds of asthma and bronchitis exacerbations were significantly lower than adults in certain circumstances (e.g., for asthma during June - September, pediatric odds 0.71 (95% CI 0.68-0.74) and adult odds 0.82 (95% CI 0.79-0.85) for the highest quartile of PM 2.5). CONCLUSION This study of acute exacerbations of asthma, bronchitis, and COPD found exacerbation risk after exposure to heat index, PM 2.5 and O 3 varies by weather period, age, and race/ethnicity. Future work can build upon these results to alert vulnerable populations to exacerbation triggers.
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Affiliation(s)
- Jennifer Fishe
- Department of Emergency Medicine, University of Florida College of Medicine - Jacksonville, United States of America; Center for Data Solutions, University of Florida College of Medicine - Jacksonville, United States of America.
| | - Yi Zheng
- Department of Epidemiology, University of Florida College of Medicine & College of Public Health and Health Professions, United States of America
| | - Tianchen Lyu
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States of America
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States of America
| | - Hui Hu
- Department of Epidemiology, University of Florida College of Medicine & College of Public Health and Health Professions, United States of America
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Proper SP, Azouz NP, Mersha TB. Achieving Precision Medicine in Allergic Disease: Progress and Challenges. Front Immunol 2021; 12:720746. [PMID: 34484229 PMCID: PMC8416451 DOI: 10.3389/fimmu.2021.720746] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/02/2021] [Indexed: 11/25/2022] Open
Abstract
Allergic diseases (atopic dermatitis, food allergy, eosinophilic esophagitis, asthma and allergic rhinitis), perhaps more than many other traditionally grouped disorders, share several overlapping inflammatory pathways and risk factors, though we are still beginning to understand how the relevant patient and environmental factors uniquely shape each disease. Precision medicine is the concept of applying multiple levels of patient-specific data to tailor diagnoses and available treatments to the individual; ideally, a patient receives the right intervention at the right time, in order to maximize effectiveness but minimize morbidity, mortality and cost. While precision medicine in allergy is in its infancy, the recent success of biologics, development of tools focused on large data set integration and improved sampling methods are encouraging and demonstrates the utility of refining our understanding of allergic endotypes to improve therapies. Some of the biggest challenges to achieving precision medicine in allergy are characterizing allergic endotypes, understanding allergic multimorbidity relationships, contextualizing the impact of environmental exposures (the “exposome”) and ancestry/genetic risks, achieving actionable multi-omics integration, and using this information to develop adequately powered patient cohorts and refined clinical trials. In this paper, we highlight several recently developed tools and methods showing promise to realize the aspirational potential of precision medicine in allergic disease. We also outline current challenges, including exposome sampling and building the “knowledge network” with multi-omics integration.
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Affiliation(s)
- Steven P Proper
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Nurit P Azouz
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Tesfaye B Mersha
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.,Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
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Hui CY, McKinstry B, Fulton O, Buchner M, Pinnock H. Patients' and Clinicians' Perceived Trust in Internet-of-Things Systems to Support Asthma Self-management: Qualitative Interview Study. JMIR Mhealth Uhealth 2021; 9:e24127. [PMID: 34269684 PMCID: PMC8325078 DOI: 10.2196/24127] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 02/28/2021] [Accepted: 04/28/2021] [Indexed: 12/21/2022] Open
Abstract
Background Asthma affects 235 million people worldwide. Supported self-management, including an action plan agreed with clinicians, improves asthma outcomes. Internet-of-things (IoT) systems with artificial intelligence (AI) can provide customized support for a range of self-management functions, but trust is vital to encourage patients’ adoption of such systems. Many models for understanding trust exist, some explicitly designed for eHealth, but no studies have used these models to explore trust in the context of using IoT systems to support asthma self-management. Objective In this study, we aim to use the McKnight model to explore the functionality, helpfulness, and reliability domains of patients’ and clinicians’ trust in IoT systems to deliver the 14 components of self-management support defined by the PRISMS (Practical Reviews in Self-Management Support) taxonomy. Methods We used think-aloud techniques in semistructured interviews to explore the views of patients and clinicians. Patients were recruited from research registers and social media and purposively sampled to include a range of ages, genders, action plan ownership, asthma duration, hospital admissions, and experience with mobile apps. Clinicians (primary, secondary, and community-based) were recruited from professional networks. Interviews were transcribed verbatim, and thematic analysis was used to explore perceptions of the functionality, helpfulness, and reliability of IoT features to support components of supported self-management. Results A total of 12 patients and 12 clinicians were interviewed. Regarding perceived functionality, most patients considered that an IoT system had functionality that could support a broad range of self-management tasks. They wanted a system to provide customized advice involving AI. With regard to perceived helpfulness, they considered that IoT systems could usefully provide integrated support for a number of recognized components of self-management support. In terms of perceived reliability, they believed they could rely on the system to log their asthma condition and provide preset action plan advice triggered by their logs. However, they were less confident that the system could operate continuously and without errors in providing advice. They were not confident that AI could generate new advice or reach diagnostic conclusions without the interpretation of their trusted clinicians. Clinicians wanted clinical evidence before trusting the system. Conclusions IoT systems including AI were regarded as offering potentially helpful functionality in mediating the action plans developed with a trusted clinician, although our technologically adept participants were not yet ready to trust AI to generate novel advice. Research is needed to ensure that technological capability does not outstrip the trust of individuals using it.
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Affiliation(s)
- Chi Yan Hui
- Asthma UK Centre for Applied Research, Usher Institute, Edinburgh, United Kingdom
| | - Brian McKinstry
- Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Olivia Fulton
- Patient Advisory Group, Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Hilary Pinnock
- Asthma UK Centre for Applied Research, Usher Institute, Edinburgh, United Kingdom
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21
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Holmes J, Heaney LG. Measuring adherence to therapy in airways disease. Breathe (Sheff) 2021; 17:210037. [PMID: 34295430 PMCID: PMC8291934 DOI: 10.1183/20734735.0037-2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/12/2021] [Indexed: 12/14/2022] Open
Abstract
Non-adherence to medication is one of the most significant issues in all airways disease and can have a major impact on disease control as well as on unscheduled healthcare utilisation. It is vital that clinicians can accurately determine a patient's level of adherence in order to ensure they are gaining the maximal benefit from their therapy and also to avoid any potential for unnecessary increases in therapy. It is essential that measurements of adherence are interpreted alongside biomarkers of mechanistic pathways to identify if improvements in medication adherence can influence disease control. In this review, the most common methods of measuring adherence are discussed. These include patient self-report, prescription record checks, canister weighing, dose counting, monitoring drug levels and electronic monitoring. We describe the uses and benefits of each method as well as potential shortcomings. The practical use of adherence measures with measurable markers of disease control is also discussed. Educational aims To understand the various methods available to measure adherence in airways disease.To learn how to apply these adherence measures in conjunction with clinical biomarkers in routine clinical care.
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Affiliation(s)
- Joshua Holmes
- Wellcome Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Liam G Heaney
- Wellcome Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
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Hui CY, McKinstry B, Fulton O, Buchner M, Pinnock H. Patients' and Clinicians' Visions of a Future Internet-of-Things System to Support Asthma Self-Management: Mixed Methods Study. J Med Internet Res 2021; 23:e22432. [PMID: 33847592 PMCID: PMC8080146 DOI: 10.2196/22432] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 01/23/2021] [Accepted: 02/15/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Supported self-management for asthma reduces acute attacks and improves control. The internet of things could connect patients to health care providers, community services, and their living environments to provide overarching support for self-management. OBJECTIVE We aimed to identify patients' and clinicians' preferences for a future internet-of-things system and explore their visions of its potential to support holistic self-management. METHODS In an exploratory sequential mixed methods study, we recruited patients from volunteer databases and charities' social media. We purposively sampled participants to interview them about their vision of the design and utility of the internet of things as a future strategy for supporting self-management. Respondents who were not invited to participate in the interviews were invited to complete a web-based questionnaire to prioritize the features suggested by the interviewees. Clinicians were recruited from professional networks. Interviews were transcribed and analyzed thematically using PRISMS self-management taxonomy. RESULTS We interviewed 12 patients and 12 clinicians in the United Kingdom, and 140 patients completed the web-based questionnaires. Patients expressed mostly wanting a system to log their asthma control status automatically; provide real-time advice to help them learn about their asthma, identify and avoid triggers, and adjust their treatment. Peak flow (33/140, 23.6%), environmental (pollen, humidity, air temperature) (33/140, 23.6%), and asthma symptoms (25/140, 17.9%) were the specific data types that patient most wanted. Information about asthma and text or email access to clinical advice provided a feeling of safety for patients. Clinicians wanted automated objective data about the patients' condition that they could access during consultations. The potential reduction in face-to-face consultations was appreciated by clinicians which they perceived could potentially save patients' travel time and health service resources. Lifestyle logs of fitness regimes or weight control were valued by some patients but were of less interest to clinicians. CONCLUSIONS An automated internet-of-things system that requires minimal input from the user and provides timely advice in line with an asthma action plan agreed by the patient with their clinician was preferred by most respondents. Links to asthma information and the ability to connect with clinicians by text or email were perceived by patients as features that would provide a sense of safety. Further studies are needed to evaluate the usability and effectiveness of internet-of-things systems in routine clinical practice.
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Affiliation(s)
- Chi Yan Hui
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Brian McKinstry
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Olivia Fulton
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Hilary Pinnock
- Asthma UK Centre for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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