The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
Use of the ResearchKit platform to track symptoms of a large cohort of asthma sufferers over time demonstrates the pros and cons of mobile health applications in large-scale observational studies. The feasibility of using mobile health applications to conduct observational clinical studies requires...
Gespeichert in:
| Veröffentlicht in: | Nature biotechnology 2017-04, Vol.35 (4), p.354-362 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 362 |
|---|---|
| container_issue | 4 |
| container_start_page | 354 |
| container_title | Nature biotechnology |
| container_volume | 35 |
| creator | Chan, Yu-Feng Yvonne Wang, Pei Rogers, Linda Tignor, Nicole Zweig, Micol Hershman, Steven G Genes, Nicholas Scott, Erick R Krock, Eric Badgeley, Marcus Edgar, Ron Violante, Samantha Wright, Rosalind Powell, Charles A Dudley, Joel T Schadt, Eric E |
| description | Use of the ResearchKit platform to track symptoms of a large cohort of asthma sufferers over time demonstrates the pros and cons of mobile health applications in large-scale observational studies.
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care. |
| doi_str_mv | 10.1038/nbt.3826 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5559298</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A489090971</galeid><sourcerecordid>A489090971</sourcerecordid><originalsourceid>FETCH-LOGICAL-c598t-e69108e55058956588ffca264918dd340e96957987200c2c2a74c12646b003273</originalsourceid><addsrcrecordid>eNqNkl1rFDEYhQdRbK2Cv0AGvFHo1CSTzxthKWrFiqD1TgiZbHYmZXZS82YK_fe-Q9e67ZUE8sF5OJwc3qp6SckJJa1-N3XlpNVMPqoOqeCyodLIx3gnWjWECnlQPQO4JIRILuXT6oBppjUl_LD6dTGEegVl2Lr6a-riGOqz4MYy1D_KvL45rl09utyHBrxDzY9xinirUwchX7sS04QvWNh6hjj19fcAwWU_fInlefVk40YIL3bnUfXz44eL07Pm_Nunz6er88YLo0sTpMGkQQgitBFSaL3ZeMckN1Sv1y0nwUgjlNGKEeKZZ05xT1GXHSEtU-1R9f7W92rutmHtw1SyG-1VjluXb2xy0d5XpjjYPl1bIYRhRqPBm51BTr_nAMVuI_gwjm4KaQZLNUZRSPP_QJUSjCvKEH39AL1Mc8a-FkrLVmnGyT-qx4JtnDYJI_rF1K64NgSXokgd71HdUnUA3CD2Q4HezQD38V1KnxNADpu7Miixy8hYHBm7jAyir_bLuwP_zggCb28BQGnqQ977xkOzP47bxwg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1886378240</pqid></control><display><type>article</type><title>The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>Nature Journals Online</source><creator>Chan, Yu-Feng Yvonne ; Wang, Pei ; Rogers, Linda ; Tignor, Nicole ; Zweig, Micol ; Hershman, Steven G ; Genes, Nicholas ; Scott, Erick R ; Krock, Eric ; Badgeley, Marcus ; Edgar, Ron ; Violante, Samantha ; Wright, Rosalind ; Powell, Charles A ; Dudley, Joel T ; Schadt, Eric E</creator><creatorcontrib>Chan, Yu-Feng Yvonne ; Wang, Pei ; Rogers, Linda ; Tignor, Nicole ; Zweig, Micol ; Hershman, Steven G ; Genes, Nicholas ; Scott, Erick R ; Krock, Eric ; Badgeley, Marcus ; Edgar, Ron ; Violante, Samantha ; Wright, Rosalind ; Powell, Charles A ; Dudley, Joel T ; Schadt, Eric E</creatorcontrib><description>Use of the ResearchKit platform to track symptoms of a large cohort of asthma sufferers over time demonstrates the pros and cons of mobile health applications in large-scale observational studies.
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.</description><identifier>ISSN: 1087-0156</identifier><identifier>EISSN: 1546-1696</identifier><identifier>DOI: 10.1038/nbt.3826</identifier><identifier>PMID: 28288104</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/250 ; 692/699/1785 ; Adolescent ; Adult ; Aged ; Agriculture ; Air quality ; Asthma ; Asthma - diagnosis ; Asthma - epidemiology ; Bioinformatics ; Biomedical Engineering/Biotechnology ; Biomedicine ; Biotechnology ; Clinical trials ; Computer based research ; Feasibility studies ; Female ; Health Services Research - organization & administration ; Health Surveys - methods ; Health Surveys - statistics & numerical data ; Humans ; Life Sciences ; Male ; Methods ; Middle Aged ; Mobile applications ; New York - epidemiology ; Observational studies ; Observational Studies as Topic - methods ; Patient Selection ; Pollen ; Population Surveillance - methods ; Prevalence ; Research Design ; Risk Factors ; Telemedicine - utilization ; Wildfires ; Young Adult</subject><ispartof>Nature biotechnology, 2017-04, Vol.35 (4), p.354-362</ispartof><rights>Springer Nature America, Inc. 2017</rights><rights>COPYRIGHT 2017 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c598t-e69108e55058956588ffca264918dd340e96957987200c2c2a74c12646b003273</citedby><cites>FETCH-LOGICAL-c598t-e69108e55058956588ffca264918dd340e96957987200c2c2a74c12646b003273</cites><orcidid>0000-0003-3509-891X ; 0000-0001-9167-7380</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nbt.3826$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nbt.3826$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28288104$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chan, Yu-Feng Yvonne</creatorcontrib><creatorcontrib>Wang, Pei</creatorcontrib><creatorcontrib>Rogers, Linda</creatorcontrib><creatorcontrib>Tignor, Nicole</creatorcontrib><creatorcontrib>Zweig, Micol</creatorcontrib><creatorcontrib>Hershman, Steven G</creatorcontrib><creatorcontrib>Genes, Nicholas</creatorcontrib><creatorcontrib>Scott, Erick R</creatorcontrib><creatorcontrib>Krock, Eric</creatorcontrib><creatorcontrib>Badgeley, Marcus</creatorcontrib><creatorcontrib>Edgar, Ron</creatorcontrib><creatorcontrib>Violante, Samantha</creatorcontrib><creatorcontrib>Wright, Rosalind</creatorcontrib><creatorcontrib>Powell, Charles A</creatorcontrib><creatorcontrib>Dudley, Joel T</creatorcontrib><creatorcontrib>Schadt, Eric E</creatorcontrib><title>The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit</title><title>Nature biotechnology</title><addtitle>Nat Biotechnol</addtitle><addtitle>Nat Biotechnol</addtitle><description>Use of the ResearchKit platform to track symptoms of a large cohort of asthma sufferers over time demonstrates the pros and cons of mobile health applications in large-scale observational studies.
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.</description><subject>631/250</subject><subject>692/699/1785</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Agriculture</subject><subject>Air quality</subject><subject>Asthma</subject><subject>Asthma - diagnosis</subject><subject>Asthma - epidemiology</subject><subject>Bioinformatics</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Biomedicine</subject><subject>Biotechnology</subject><subject>Clinical trials</subject><subject>Computer based research</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Health Services Research - organization & administration</subject><subject>Health Surveys - methods</subject><subject>Health Surveys - statistics & numerical data</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Mobile applications</subject><subject>New York - epidemiology</subject><subject>Observational studies</subject><subject>Observational Studies as Topic - methods</subject><subject>Patient Selection</subject><subject>Pollen</subject><subject>Population Surveillance - methods</subject><subject>Prevalence</subject><subject>Research Design</subject><subject>Risk Factors</subject><subject>Telemedicine - utilization</subject><subject>Wildfires</subject><subject>Young Adult</subject><issn>1087-0156</issn><issn>1546-1696</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkl1rFDEYhQdRbK2Cv0AGvFHo1CSTzxthKWrFiqD1TgiZbHYmZXZS82YK_fe-Q9e67ZUE8sF5OJwc3qp6SckJJa1-N3XlpNVMPqoOqeCyodLIx3gnWjWECnlQPQO4JIRILuXT6oBppjUl_LD6dTGEegVl2Lr6a-riGOqz4MYy1D_KvL45rl09utyHBrxDzY9xinirUwchX7sS04QvWNh6hjj19fcAwWU_fInlefVk40YIL3bnUfXz44eL07Pm_Nunz6er88YLo0sTpMGkQQgitBFSaL3ZeMckN1Sv1y0nwUgjlNGKEeKZZ05xT1GXHSEtU-1R9f7W92rutmHtw1SyG-1VjluXb2xy0d5XpjjYPl1bIYRhRqPBm51BTr_nAMVuI_gwjm4KaQZLNUZRSPP_QJUSjCvKEH39AL1Mc8a-FkrLVmnGyT-qx4JtnDYJI_rF1K64NgSXokgd71HdUnUA3CD2Q4HezQD38V1KnxNADpu7Miixy8hYHBm7jAyir_bLuwP_zggCb28BQGnqQ977xkOzP47bxwg</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Chan, Yu-Feng Yvonne</creator><creator>Wang, Pei</creator><creator>Rogers, Linda</creator><creator>Tignor, Nicole</creator><creator>Zweig, Micol</creator><creator>Hershman, Steven G</creator><creator>Genes, Nicholas</creator><creator>Scott, Erick R</creator><creator>Krock, Eric</creator><creator>Badgeley, Marcus</creator><creator>Edgar, Ron</creator><creator>Violante, Samantha</creator><creator>Wright, Rosalind</creator><creator>Powell, Charles A</creator><creator>Dudley, Joel T</creator><creator>Schadt, Eric E</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7T7</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3509-891X</orcidid><orcidid>https://orcid.org/0000-0001-9167-7380</orcidid></search><sort><creationdate>20170401</creationdate><title>The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit</title><author>Chan, Yu-Feng Yvonne ; Wang, Pei ; Rogers, Linda ; Tignor, Nicole ; Zweig, Micol ; Hershman, Steven G ; Genes, Nicholas ; Scott, Erick R ; Krock, Eric ; Badgeley, Marcus ; Edgar, Ron ; Violante, Samantha ; Wright, Rosalind ; Powell, Charles A ; Dudley, Joel T ; Schadt, Eric E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c598t-e69108e55058956588ffca264918dd340e96957987200c2c2a74c12646b003273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>631/250</topic><topic>692/699/1785</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Agriculture</topic><topic>Air quality</topic><topic>Asthma</topic><topic>Asthma - diagnosis</topic><topic>Asthma - epidemiology</topic><topic>Bioinformatics</topic><topic>Biomedical Engineering/Biotechnology</topic><topic>Biomedicine</topic><topic>Biotechnology</topic><topic>Clinical trials</topic><topic>Computer based research</topic><topic>Feasibility studies</topic><topic>Female</topic><topic>Health Services Research - organization & administration</topic><topic>Health Surveys - methods</topic><topic>Health Surveys - statistics & numerical data</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Mobile applications</topic><topic>New York - epidemiology</topic><topic>Observational studies</topic><topic>Observational Studies as Topic - methods</topic><topic>Patient Selection</topic><topic>Pollen</topic><topic>Population Surveillance - methods</topic><topic>Prevalence</topic><topic>Research Design</topic><topic>Risk Factors</topic><topic>Telemedicine - utilization</topic><topic>Wildfires</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chan, Yu-Feng Yvonne</creatorcontrib><creatorcontrib>Wang, Pei</creatorcontrib><creatorcontrib>Rogers, Linda</creatorcontrib><creatorcontrib>Tignor, Nicole</creatorcontrib><creatorcontrib>Zweig, Micol</creatorcontrib><creatorcontrib>Hershman, Steven G</creatorcontrib><creatorcontrib>Genes, Nicholas</creatorcontrib><creatorcontrib>Scott, Erick R</creatorcontrib><creatorcontrib>Krock, Eric</creatorcontrib><creatorcontrib>Badgeley, Marcus</creatorcontrib><creatorcontrib>Edgar, Ron</creatorcontrib><creatorcontrib>Violante, Samantha</creatorcontrib><creatorcontrib>Wright, Rosalind</creatorcontrib><creatorcontrib>Powell, Charles A</creatorcontrib><creatorcontrib>Dudley, Joel T</creatorcontrib><creatorcontrib>Schadt, Eric E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chan, Yu-Feng Yvonne</au><au>Wang, Pei</au><au>Rogers, Linda</au><au>Tignor, Nicole</au><au>Zweig, Micol</au><au>Hershman, Steven G</au><au>Genes, Nicholas</au><au>Scott, Erick R</au><au>Krock, Eric</au><au>Badgeley, Marcus</au><au>Edgar, Ron</au><au>Violante, Samantha</au><au>Wright, Rosalind</au><au>Powell, Charles A</au><au>Dudley, Joel T</au><au>Schadt, Eric E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit</atitle><jtitle>Nature biotechnology</jtitle><stitle>Nat Biotechnol</stitle><addtitle>Nat Biotechnol</addtitle><date>2017-04-01</date><risdate>2017</risdate><volume>35</volume><issue>4</issue><spage>354</spage><epage>362</epage><pages>354-362</pages><issn>1087-0156</issn><eissn>1546-1696</eissn><abstract>Use of the ResearchKit platform to track symptoms of a large cohort of asthma sufferers over time demonstrates the pros and cons of mobile health applications in large-scale observational studies.
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>28288104</pmid><doi>10.1038/nbt.3826</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3509-891X</orcidid><orcidid>https://orcid.org/0000-0001-9167-7380</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1087-0156 |
| ispartof | Nature biotechnology, 2017-04, Vol.35 (4), p.354-362 |
| issn | 1087-0156 1546-1696 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5559298 |
| source | MEDLINE; Springer Nature - Complete Springer Journals; Nature Journals Online |
| subjects | 631/250 692/699/1785 Adolescent Adult Aged Agriculture Air quality Asthma Asthma - diagnosis Asthma - epidemiology Bioinformatics Biomedical Engineering/Biotechnology Biomedicine Biotechnology Clinical trials Computer based research Feasibility studies Female Health Services Research - organization & administration Health Surveys - methods Health Surveys - statistics & numerical data Humans Life Sciences Male Methods Middle Aged Mobile applications New York - epidemiology Observational studies Observational Studies as Topic - methods Patient Selection Pollen Population Surveillance - methods Prevalence Research Design Risk Factors Telemedicine - utilization Wildfires Young Adult |
| title | The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T23%3A43%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Asthma%20Mobile%20Health%20Study,%20a%20large-scale%20clinical%20observational%20study%20using%20ResearchKit&rft.jtitle=Nature%20biotechnology&rft.au=Chan,%20Yu-Feng%20Yvonne&rft.date=2017-04-01&rft.volume=35&rft.issue=4&rft.spage=354&rft.epage=362&rft.pages=354-362&rft.issn=1087-0156&rft.eissn=1546-1696&rft_id=info:doi/10.1038/nbt.3826&rft_dat=%3Cgale_pubme%3EA489090971%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1886378240&rft_id=info:pmid/28288104&rft_galeid=A489090971&rfr_iscdi=true |