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dc.contributor.authorGardiner, Paula
dc.contributor.authorD'Amico, Salvatore
dc.contributor.authorLuo, Man
dc.contributor.authorHaas, Niina
dc.date2022-08-11T08:08:05.000
dc.date.accessioned2022-08-23T15:42:08Z
dc.date.available2022-08-23T15:42:08Z
dc.date.issued2020-03-30
dc.date.submitted2020-04-14
dc.identifier.citation<p>Gardiner P, D'Amico S, Luo M, Haas N. An Innovative Electronic Health Toolkit (Our Whole Lives for Chronic Pain) to Reduce Chronic Pain in Patients With Health Disparities: Open Clinical Trial. JMIR Mhealth Uhealth. 2020 Mar 30;8(3):e14768. doi: 10.2196/14768. PMID: 32224487. <a href="https://doi.org/10.2196/14768">Link to article on publisher's site</a></p>
dc.identifier.issn2291-5222 (Linking)
dc.identifier.doi10.2196/14768
dc.identifier.pmid32224487
dc.identifier.urihttp://hdl.handle.net/20.500.14038/26773
dc.description.abstractBACKGROUND: Chronic pain affects millions of Americans. Our Whole Lives, an electronic health (eHealth) toolkit for Chronic Pain (Our Whole Lives for Chronic Pain [OWLCP]), is a mind-body chronic pain management platform that teaches self-management strategies to reduce pain impact and pain medication use. OBJECTIVE: The primary goal of this study was to evaluate the feasibility of OWLCP in reducing pain impact and pain-related outcomes. METHODS: We conducted a pre-post clinical study (2 cohorts) to assess the feasibility of OWLCP usage among low-income patients with chronic pain. Outcome data, collected at baseline and 9 weeks, included Patient-Reported Outcomes Measurement Information System (PROMIS-29), pain self-efficacy, and pain medication use. In the statistical analysis, we used descriptive statistics, logistic regression, linear regression, and qualitative methods. RESULTS: Among the enrolled 43 participants, the average age was 50 years, (39/43) 91% were female, (16/43) 37% were black, and (7/43) 16% were Hispanic. From baseline to follow-up, the PROMIS measures showed a reduction in depression (P=.02), pain interference (P=.003), and average pain impact score (P=.007). Pain self-efficacy increased ((P < .001), whereas opioid use had a 13% reduction (P=.03). CONCLUSIONS: The eHealth chronic pain management platform, OWLCP, is a potential tool to reduce the impact of chronic pain for low-income racially diverse populations.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=32224487&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rightsCopyright © Paula Gardiner, Salvatore D'Amico, Man Luo, Niina Haas. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 30.03.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMinority health
dc.subjectinternet
dc.subjectWeb-based
dc.subjectcomplementary therapies
dc.subjectmindfulness-based stress reduction
dc.subjectAlternative and Complementary Medicine
dc.subjectBehavioral Medicine
dc.subjectFamily Medicine
dc.subjectHealth Information Technology
dc.subjectHealth Psychology
dc.subjectHealth Services Administration
dc.subjectIntegrative Medicine
dc.subjectMental and Social Health
dc.subjectMovement and Mind-Body Therapies
dc.subjectPain Management
dc.subjectPrimary Care
dc.subjectPsychiatry and Psychology
dc.titleAn Innovative Electronic Health Toolkit (Our Whole Lives for Chronic Pain) to Reduce Chronic Pain in Patients With Health Disparities: Open Clinical Trial
dc.typeJournal Article
dc.source.journaltitleJMIR mHealth and uHealth
dc.source.volume8
dc.source.issue3
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1111&amp;context=cipc&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/cipc/111
dc.identifier.contextkey17362054
refterms.dateFOA2022-08-23T15:42:08Z
html.description.abstract<p>BACKGROUND: Chronic pain affects millions of Americans. Our Whole Lives, an electronic health (eHealth) toolkit for Chronic Pain (Our Whole Lives for Chronic Pain [OWLCP]), is a mind-body chronic pain management platform that teaches self-management strategies to reduce pain impact and pain medication use.</p> <p>OBJECTIVE: The primary goal of this study was to evaluate the feasibility of OWLCP in reducing pain impact and pain-related outcomes.</p> <p>METHODS: We conducted a pre-post clinical study (2 cohorts) to assess the feasibility of OWLCP usage among low-income patients with chronic pain. Outcome data, collected at baseline and 9 weeks, included Patient-Reported Outcomes Measurement Information System (PROMIS-29), pain self-efficacy, and pain medication use. In the statistical analysis, we used descriptive statistics, logistic regression, linear regression, and qualitative methods.</p> <p>RESULTS: Among the enrolled 43 participants, the average age was 50 years, (39/43) 91% were female, (16/43) 37% were black, and (7/43) 16% were Hispanic. From baseline to follow-up, the PROMIS measures showed a reduction in depression (P=.02), pain interference (P=.003), and average pain impact score (P=.007). Pain self-efficacy increased ((P < .001), whereas opioid use had a 13% reduction (P=.03).</p> <p>CONCLUSIONS: The eHealth chronic pain management platform, OWLCP, is a potential tool to reduce the impact of chronic pain for low-income racially diverse populations.</p>
dc.identifier.submissionpathcipc/111
dc.contributor.departmentCenter for Integrated Primary Care
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.source.pagese14768


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Copyright © Paula Gardiner, Salvatore D'Amico, Man Luo, Niina Haas. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 30.03.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
Except where otherwise noted, this item's license is described as Copyright © Paula Gardiner, Salvatore D'Amico, Man Luo, Niina Haas. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 30.03.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.