Cascading feedback: a longitudinal study of a feedback ecosystem for telemonitoring patients with chronic disease

While telemonitoring technology is widely used in treatment of patients with chronic diseases, our understanding of how it influences patient-related outcomes is limited. Drawing upon feedback intervention theory, the paper develops a model that examines how a telemonitoring feedback ecosystem (pati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:MIS quarterly 2020-03, Vol.44 (1), p.421-450
1. Verfasser: Brohman, Kathryn
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 450
container_issue 1
container_start_page 421
container_title MIS quarterly
container_volume 44
creator Brohman, Kathryn
description While telemonitoring technology is widely used in treatment of patients with chronic diseases, our understanding of how it influences patient-related outcomes is limited. Drawing upon feedback intervention theory, the paper develops a model that examines how a telemonitoring feedback ecosystem (patient, telemonitoring technology, care provider) is related to patient behavioral outcomes. More precisely, we study the cascading effects of two types of technology feedback (medical and compliance alerts) on the provision of three types of feedback (outcome, corrective, and personal) given by care providers, and how the feedback in turn is related to patient adaptation and ultimately to calls to 911. Using generalized linear mixed modeling, we tested our hypotheses with longitudinal data from 212 patients with chronic obstructive pulmonary disease (COPD) and/or chronic heart failure (CHF) over 26 weeks. Our results show that medical alerts had a positive association with all three types of provider feedback. By contrast, compliance alerts had curvilinear relationships with corrective and personal feedback. Our results also show that outcome feedback and personal feedback were associated with increases in patient adaptations. Patient adaptation was negatively related to the odds of calling 911. Interestingly, we found a significant negative interaction between outcome and corrective feedback and patient adaptation. Finally, our results show that while the frequency of feedback decreased over the life of the program, the amount of adaptations increased over the same period, which suggests that patient self-management improved over time. By examining a telemonitoring-based ecosystem with two stages of feedback, our study contributes to the chronic disease management literature as well as to other contexts where monitoring technologies deliver feedback that is mediated by a third party. Theoretical and practical implications of our study are discussed.
doi_str_mv 10.25300/MISQ/2020/15089
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2383816158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2383816158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-509832a81ca82f0f383aa57b9d70586c966bed63843bbe613f86dacc46d1008e3</originalsourceid><addsrcrecordid>eNpFjz1PwzAURS0EEqGwMDFWYg55tmv7eUQRlEpFCAGz5fgDpUBS7Hbg3-O2SExvuffcdwi5onDDBAdoHhcvzw0DBg0VgPqIVIxKVmvF4ZhUwJSslUJ-Ss5yXgEAVVRV5LK12VnfD-_TGILvrPs4JyfRfuZw8Xcn5O3-7rV9qJdP80V7u6wdZ7ipBWjkzCJ1FlmEyJFbK1SnvQKB0mkpu-AlxxnvuiApjyi9dW4mPQXAwCfk-sBdp_F7G_LGrMZtGsqkYQWGVFKBJQWHlEtjzilEs079l00_hoLZm5ududmZm715qUwPleDGoc__BakLEKF89As3R1Me</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2383816158</pqid></control><display><type>article</type><title>Cascading feedback: a longitudinal study of a feedback ecosystem for telemonitoring patients with chronic disease</title><source>Business Source Complete</source><creator>Brohman, Kathryn</creator><creatorcontrib>Brohman, Kathryn</creatorcontrib><description>While telemonitoring technology is widely used in treatment of patients with chronic diseases, our understanding of how it influences patient-related outcomes is limited. Drawing upon feedback intervention theory, the paper develops a model that examines how a telemonitoring feedback ecosystem (patient, telemonitoring technology, care provider) is related to patient behavioral outcomes. More precisely, we study the cascading effects of two types of technology feedback (medical and compliance alerts) on the provision of three types of feedback (outcome, corrective, and personal) given by care providers, and how the feedback in turn is related to patient adaptation and ultimately to calls to 911. Using generalized linear mixed modeling, we tested our hypotheses with longitudinal data from 212 patients with chronic obstructive pulmonary disease (COPD) and/or chronic heart failure (CHF) over 26 weeks. Our results show that medical alerts had a positive association with all three types of provider feedback. By contrast, compliance alerts had curvilinear relationships with corrective and personal feedback. Our results also show that outcome feedback and personal feedback were associated with increases in patient adaptations. Patient adaptation was negatively related to the odds of calling 911. Interestingly, we found a significant negative interaction between outcome and corrective feedback and patient adaptation. Finally, our results show that while the frequency of feedback decreased over the life of the program, the amount of adaptations increased over the same period, which suggests that patient self-management improved over time. By examining a telemonitoring-based ecosystem with two stages of feedback, our study contributes to the chronic disease management literature as well as to other contexts where monitoring technologies deliver feedback that is mediated by a third party. Theoretical and practical implications of our study are discussed.</description><identifier>ISSN: 0276-7783</identifier><identifier>EISSN: 2162-9730</identifier><identifier>DOI: 10.25300/MISQ/2020/15089</identifier><language>eng</language><publisher>Minneapolis: University of Minnesota, MIS Research Center</publisher><subject>Adaptation ; Chronic illnesses ; Chronic obstructive pulmonary disease ; Correlation analysis ; Disease ; Feedback ; Heart failure ; Longitudinal studies ; Medical technology ; Patient safety ; Patients ; Remote monitoring ; Telemedicine</subject><ispartof>MIS quarterly, 2020-03, Vol.44 (1), p.421-450</ispartof><rights>Copyright University of Minnesota, MIS Research Center Mar 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-509832a81ca82f0f383aa57b9d70586c966bed63843bbe613f86dacc46d1008e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Brohman, Kathryn</creatorcontrib><title>Cascading feedback: a longitudinal study of a feedback ecosystem for telemonitoring patients with chronic disease</title><title>MIS quarterly</title><description>While telemonitoring technology is widely used in treatment of patients with chronic diseases, our understanding of how it influences patient-related outcomes is limited. Drawing upon feedback intervention theory, the paper develops a model that examines how a telemonitoring feedback ecosystem (patient, telemonitoring technology, care provider) is related to patient behavioral outcomes. More precisely, we study the cascading effects of two types of technology feedback (medical and compliance alerts) on the provision of three types of feedback (outcome, corrective, and personal) given by care providers, and how the feedback in turn is related to patient adaptation and ultimately to calls to 911. Using generalized linear mixed modeling, we tested our hypotheses with longitudinal data from 212 patients with chronic obstructive pulmonary disease (COPD) and/or chronic heart failure (CHF) over 26 weeks. Our results show that medical alerts had a positive association with all three types of provider feedback. By contrast, compliance alerts had curvilinear relationships with corrective and personal feedback. Our results also show that outcome feedback and personal feedback were associated with increases in patient adaptations. Patient adaptation was negatively related to the odds of calling 911. Interestingly, we found a significant negative interaction between outcome and corrective feedback and patient adaptation. Finally, our results show that while the frequency of feedback decreased over the life of the program, the amount of adaptations increased over the same period, which suggests that patient self-management improved over time. By examining a telemonitoring-based ecosystem with two stages of feedback, our study contributes to the chronic disease management literature as well as to other contexts where monitoring technologies deliver feedback that is mediated by a third party. Theoretical and practical implications of our study are discussed.</description><subject>Adaptation</subject><subject>Chronic illnesses</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Correlation analysis</subject><subject>Disease</subject><subject>Feedback</subject><subject>Heart failure</subject><subject>Longitudinal studies</subject><subject>Medical technology</subject><subject>Patient safety</subject><subject>Patients</subject><subject>Remote monitoring</subject><subject>Telemedicine</subject><issn>0276-7783</issn><issn>2162-9730</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpFjz1PwzAURS0EEqGwMDFWYg55tmv7eUQRlEpFCAGz5fgDpUBS7Hbg3-O2SExvuffcdwi5onDDBAdoHhcvzw0DBg0VgPqIVIxKVmvF4ZhUwJSslUJ-Ss5yXgEAVVRV5LK12VnfD-_TGILvrPs4JyfRfuZw8Xcn5O3-7rV9qJdP80V7u6wdZ7ipBWjkzCJ1FlmEyJFbK1SnvQKB0mkpu-AlxxnvuiApjyi9dW4mPQXAwCfk-sBdp_F7G_LGrMZtGsqkYQWGVFKBJQWHlEtjzilEs079l00_hoLZm5ududmZm715qUwPleDGoc__BakLEKF89As3R1Me</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Brohman, Kathryn</creator><general>University of Minnesota, MIS Research Center</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>20200301</creationdate><title>Cascading feedback</title><author>Brohman, Kathryn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-509832a81ca82f0f383aa57b9d70586c966bed63843bbe613f86dacc46d1008e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptation</topic><topic>Chronic illnesses</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Correlation analysis</topic><topic>Disease</topic><topic>Feedback</topic><topic>Heart failure</topic><topic>Longitudinal studies</topic><topic>Medical technology</topic><topic>Patient safety</topic><topic>Patients</topic><topic>Remote monitoring</topic><topic>Telemedicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brohman, Kathryn</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>MIS quarterly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brohman, Kathryn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cascading feedback: a longitudinal study of a feedback ecosystem for telemonitoring patients with chronic disease</atitle><jtitle>MIS quarterly</jtitle><date>2020-03-01</date><risdate>2020</risdate><volume>44</volume><issue>1</issue><spage>421</spage><epage>450</epage><pages>421-450</pages><issn>0276-7783</issn><eissn>2162-9730</eissn><abstract>While telemonitoring technology is widely used in treatment of patients with chronic diseases, our understanding of how it influences patient-related outcomes is limited. Drawing upon feedback intervention theory, the paper develops a model that examines how a telemonitoring feedback ecosystem (patient, telemonitoring technology, care provider) is related to patient behavioral outcomes. More precisely, we study the cascading effects of two types of technology feedback (medical and compliance alerts) on the provision of three types of feedback (outcome, corrective, and personal) given by care providers, and how the feedback in turn is related to patient adaptation and ultimately to calls to 911. Using generalized linear mixed modeling, we tested our hypotheses with longitudinal data from 212 patients with chronic obstructive pulmonary disease (COPD) and/or chronic heart failure (CHF) over 26 weeks. Our results show that medical alerts had a positive association with all three types of provider feedback. By contrast, compliance alerts had curvilinear relationships with corrective and personal feedback. Our results also show that outcome feedback and personal feedback were associated with increases in patient adaptations. Patient adaptation was negatively related to the odds of calling 911. Interestingly, we found a significant negative interaction between outcome and corrective feedback and patient adaptation. Finally, our results show that while the frequency of feedback decreased over the life of the program, the amount of adaptations increased over the same period, which suggests that patient self-management improved over time. By examining a telemonitoring-based ecosystem with two stages of feedback, our study contributes to the chronic disease management literature as well as to other contexts where monitoring technologies deliver feedback that is mediated by a third party. Theoretical and practical implications of our study are discussed.</abstract><cop>Minneapolis</cop><pub>University of Minnesota, MIS Research Center</pub><doi>10.25300/MISQ/2020/15089</doi><tpages>30</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0276-7783
ispartof MIS quarterly, 2020-03, Vol.44 (1), p.421-450
issn 0276-7783
2162-9730
language eng
recordid cdi_proquest_journals_2383816158
source Business Source Complete
subjects Adaptation
Chronic illnesses
Chronic obstructive pulmonary disease
Correlation analysis
Disease
Feedback
Heart failure
Longitudinal studies
Medical technology
Patient safety
Patients
Remote monitoring
Telemedicine
title Cascading feedback: a longitudinal study of a feedback ecosystem for telemonitoring patients with chronic disease
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A32%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cascading%20feedback:%20a%20longitudinal%20study%20of%20a%20feedback%20ecosystem%20for%20telemonitoring%20patients%20with%20chronic%20disease&rft.jtitle=MIS%20quarterly&rft.au=Brohman,%20Kathryn&rft.date=2020-03-01&rft.volume=44&rft.issue=1&rft.spage=421&rft.epage=450&rft.pages=421-450&rft.issn=0276-7783&rft.eissn=2162-9730&rft_id=info:doi/10.25300/MISQ/2020/15089&rft_dat=%3Cproquest_cross%3E2383816158%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2383816158&rft_id=info:pmid/&rfr_iscdi=true