Adopting the sensemaking perspective for chronic disease self-management
[Display omitted] •Health self-monitoring technologies call for new theories of health behaviors.•The sensemaking perspective is adopted to chronic disease self-management.•We conduct meta-synthesis of qualitative studies of diabetes self-management.•The meta-synthesis provides ample empirical suppo...
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Veröffentlicht in: | Journal of biomedical informatics 2015-08, Vol.56, p.406-417 |
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creator | Mamykina, Lena Smaldone, Arlene M. Bakken, Suzanne R. |
description | [Display omitted]
•Health self-monitoring technologies call for new theories of health behaviors.•The sensemaking perspective is adopted to chronic disease self-management.•We conduct meta-synthesis of qualitative studies of diabetes self-management.•The meta-synthesis provides ample empirical support for the framework.•We draw implications for the design of informatics interventions.
Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management.
To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data.
The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human–computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015.
The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management.
The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management. |
doi_str_mv | 10.1016/j.jbi.2015.06.006 |
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•Health self-monitoring technologies call for new theories of health behaviors.•The sensemaking perspective is adopted to chronic disease self-management.•We conduct meta-synthesis of qualitative studies of diabetes self-management.•The meta-synthesis provides ample empirical support for the framework.•We draw implications for the design of informatics interventions.
Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management.
To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data.
The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human–computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015.
The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management.
The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management.</description><identifier>ISSN: 1532-0464</identifier><identifier>EISSN: 1532-0480</identifier><identifier>DOI: 10.1016/j.jbi.2015.06.006</identifier><identifier>PMID: 26071681</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Chronic disease ; Chronic Disease - psychology ; Chronic Disease - therapy ; Cognition ; Data Collection ; Databases, Factual ; Design engineering ; Diabetes ; Diabetes Mellitus - psychology ; Diabetes Mellitus - therapy ; Education ; Empirical analysis ; Framework ; Health ; Health Behavior ; Humans ; Integrals ; Medical Informatics - methods ; Models, Theoretical ; Organizational aspects ; Patient Participation ; Perception ; Problem Solving ; Self Care ; User-Computer Interface</subject><ispartof>Journal of biomedical informatics, 2015-08, Vol.56, p.406-417</ispartof><rights>2015 The Authors</rights><rights>Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-6bc54e6a477e3a98e2ab145a0129f940cac3dc0b14c79b7127b8f4f0dea7047a3</citedby><cites>FETCH-LOGICAL-c517t-6bc54e6a477e3a98e2ab145a0129f940cac3dc0b14c79b7127b8f4f0dea7047a3</cites><orcidid>0000-0001-5203-274X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1532046415001161$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26071681$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mamykina, Lena</creatorcontrib><creatorcontrib>Smaldone, Arlene M.</creatorcontrib><creatorcontrib>Bakken, Suzanne R.</creatorcontrib><title>Adopting the sensemaking perspective for chronic disease self-management</title><title>Journal of biomedical informatics</title><addtitle>J Biomed Inform</addtitle><description>[Display omitted]
•Health self-monitoring technologies call for new theories of health behaviors.•The sensemaking perspective is adopted to chronic disease self-management.•We conduct meta-synthesis of qualitative studies of diabetes self-management.•The meta-synthesis provides ample empirical support for the framework.•We draw implications for the design of informatics interventions.
Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management.
To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data.
The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human–computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015.
The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management.
The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management.</description><subject>Chronic disease</subject><subject>Chronic Disease - psychology</subject><subject>Chronic Disease - therapy</subject><subject>Cognition</subject><subject>Data Collection</subject><subject>Databases, Factual</subject><subject>Design engineering</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - psychology</subject><subject>Diabetes Mellitus - therapy</subject><subject>Education</subject><subject>Empirical analysis</subject><subject>Framework</subject><subject>Health</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Integrals</subject><subject>Medical Informatics - methods</subject><subject>Models, Theoretical</subject><subject>Organizational aspects</subject><subject>Patient Participation</subject><subject>Perception</subject><subject>Problem Solving</subject><subject>Self Care</subject><subject>User-Computer Interface</subject><issn>1532-0464</issn><issn>1532-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1r3DAQhkVpaNK0P6CX4mMvdmdsfdgEAiE0SSHQS3sWsjze1da2HMm7kH9fbTZdmkvJSV_PvBrpYewTQoGA8uum2LSuKAFFAbIAkG_YGYqqzIHX8PY4l_yUvY9xA4AohHzHTksJCmWNZ-zuqvPz4qZVtqwpizRFGs3v_XqmEGeyi9tR1vuQ2XXwk7NZ5yKZuGeHPh_NZFY00rR8YCe9GSJ9fB7P2a-bbz-v7_L7H7ffr6_ucytQLblsreAkDVeKKtPUVJoWuTCAZdM3HKyxVWch7VnVtApL1dY976Ejo4ArU52zy0PuvG1H6my6OphBz8GNJjxqb5x-eTK5tV75neaylFxgCvjyHBD8w5biokcXLQ2Dmchvo0aFdVOpWr0GhSbBoobXoFXJK3xqAA-oDT7GQP2xeQS996o3OnnVe68apE5eU83nf199rPgrMgEXB4DS3-8cBR2to8lS50KSqDvv_hP_BxFXs-E</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Mamykina, Lena</creator><creator>Smaldone, Arlene M.</creator><creator>Bakken, Suzanne R.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><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>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5203-274X</orcidid></search><sort><creationdate>20150801</creationdate><title>Adopting the sensemaking perspective for chronic disease self-management</title><author>Mamykina, Lena ; Smaldone, Arlene M. ; Bakken, Suzanne R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-6bc54e6a477e3a98e2ab145a0129f940cac3dc0b14c79b7127b8f4f0dea7047a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Chronic disease</topic><topic>Chronic Disease - psychology</topic><topic>Chronic Disease - therapy</topic><topic>Cognition</topic><topic>Data Collection</topic><topic>Databases, Factual</topic><topic>Design engineering</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - psychology</topic><topic>Diabetes Mellitus - therapy</topic><topic>Education</topic><topic>Empirical analysis</topic><topic>Framework</topic><topic>Health</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Integrals</topic><topic>Medical Informatics - methods</topic><topic>Models, Theoretical</topic><topic>Organizational aspects</topic><topic>Patient Participation</topic><topic>Perception</topic><topic>Problem Solving</topic><topic>Self Care</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mamykina, Lena</creatorcontrib><creatorcontrib>Smaldone, Arlene M.</creatorcontrib><creatorcontrib>Bakken, Suzanne R.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of biomedical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mamykina, Lena</au><au>Smaldone, Arlene M.</au><au>Bakken, Suzanne R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adopting the sensemaking perspective for chronic disease self-management</atitle><jtitle>Journal of biomedical informatics</jtitle><addtitle>J Biomed Inform</addtitle><date>2015-08-01</date><risdate>2015</risdate><volume>56</volume><spage>406</spage><epage>417</epage><pages>406-417</pages><issn>1532-0464</issn><eissn>1532-0480</eissn><abstract>[Display omitted]
•Health self-monitoring technologies call for new theories of health behaviors.•The sensemaking perspective is adopted to chronic disease self-management.•We conduct meta-synthesis of qualitative studies of diabetes self-management.•The meta-synthesis provides ample empirical support for the framework.•We draw implications for the design of informatics interventions.
Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management.
To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data.
The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human–computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015.
The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management.
The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26071681</pmid><doi>10.1016/j.jbi.2015.06.006</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-5203-274X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Chronic disease Chronic Disease - psychology Chronic Disease - therapy Cognition Data Collection Databases, Factual Design engineering Diabetes Diabetes Mellitus - psychology Diabetes Mellitus - therapy Education Empirical analysis Framework Health Health Behavior Humans Integrals Medical Informatics - methods Models, Theoretical Organizational aspects Patient Participation Perception Problem Solving Self Care User-Computer Interface |
title | Adopting the sensemaking perspective for chronic disease self-management |
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