Literature DB >> 25360442

Collaborative Help in Chronic Disease Management: Supporting Individualized Problems.

Jina Huh1, Mark S Ackerman2.   

Abstract

Coping with chronic illness disease is a long and lonely journey, because the burden of managing the illness on a daily basis is placed upon the patients themselves. In this paper, we present our findings for how diabetes patient support groups help one another find individualized strategies for managing diabetes. Through field observations of face-to-face diabetes support groups, content analysis of an online diabetes community, and interviews, we found several help interactions that are critical in helping patients in finding individualized solutions. Those are: (1) patients operationalize their experiences to easily contextualize and share executable strategies; (2) operationalization has to be done within the larger context of sharing illness trajectories; and (3) the support groups develop common understanding towards diabetes management. We further discuss how our findings translate into design implications for supporting chronic illness patients in online community settings.

Entities:  

Keywords:  Individualized; chronic illness; collaborative help; diabetes; online health community; support groups

Year:  2012        PMID: 25360442      PMCID: PMC4211623          DOI: 10.1145/2145204.2145331

Source DB:  PubMed          Journal:  CSCW Conf Comput Support Coop Work


  8 in total

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Journal:  Am J Manag Care       Date:  2004-02       Impact factor: 2.229

5.  A comparison of web sites used to manage and present home blood pressure readings.

Authors:  Birju Patel; Sharon Turban; Cheryl Anderson; Jeanne Charleston; Edgar R Miller; Lawrence J Appel
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-06       Impact factor: 3.738

6.  Sharing health data for better outcomes on PatientsLikeMe.

Authors:  Paul Wicks; Michael Massagli; Jeana Frost; Catherine Brownstein; Sally Okun; Timothy Vaughan; Richard Bradley; James Heywood
Journal:  J Med Internet Res       Date:  2010-06-14       Impact factor: 5.428

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Authors:  Jeana H Frost; Michael P Massagli
Journal:  J Med Internet Res       Date:  2008-05-27       Impact factor: 5.428

8.  Emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking.

Authors:  Melanie Swan
Journal:  Int J Environ Res Public Health       Date:  2009-02-05       Impact factor: 3.390

  8 in total
  23 in total

1.  The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk.

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2.  Recovery Amid Pro-Anorexia: Analysis of Recovery in Social Media.

Authors:  Stevie Chancellor; Tanushree Mitra; Munmun De Choudhury
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2016-05

3.  Computational Approaches Toward Integrating Quantified Self Sensing and Social Media.

Authors:  Munmun De Choudhury; Mrinal Kumar; Ingmar Weber
Journal:  CSCW Conf Comput Support Coop Work       Date:  2017 Feb-Mar

4.  Health Vlogs as Social Support for Chronic Illness Management.

Authors:  Jina Huh; Leslie S Liu; Tina Neogi; Kori Inkpen; Wanda Pratt
Journal:  ACM Trans Comput Hum Interact       Date:  2014-08       Impact factor: 2.351

5.  Collaborative Health Reminders and Notifications: Insights from Prototypes.

Authors:  Katie O'Leary; Daryl Tanghe; Wanda Pratt; James Ralston
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

6.  Exploring the Design of an Inpatient Peer Support Tool: Views of Adult Patients.

Authors:  Shefali Haldar; Sonali R Mishra; Maher Khelifi; Ari H Pollack; Wanda Pratt
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

7.  Patient moderator interaction in online health communities.

Authors:  Jina Huh; David W McDonald; Andrea Hartzler; Wanda Pratt
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

8.  Weaving Clinical Expertise in Online Health Communities.

Authors:  Jina Huh; Wanda Pratt
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2014

9.  The association between social media use for health related information and compliance with breast and cervical cancer screenings.

Authors:  HyounKyoung G Park; Young-Il Kim; Warner K Huh; Sejong Bae
Journal:  Res Rep (Montgomery, Ala.)       Date:  2020-05-07

10.  Characterizing Smoking and Drinking Abstinence from Social Media.

Authors:  Acar Tamersoy; Munmun De Choudhury; Duen Horng Chau
Journal:  HT ACM Conf Hypertext Soc Media       Date:  2015-09
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