The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial
Active engagement in the management of hypertension is important in improving self-management behaviors and clinical outcomes. Mobile phone technology using wireless monitoring tools are now widely available to help individuals monitor their blood pressure, but little is known about the conditions u...
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creator | Kim, Ju Young Wineinger, Nathan E Steinhubl, Steven R |
description | Active engagement in the management of hypertension is important in improving self-management behaviors and clinical outcomes. Mobile phone technology using wireless monitoring tools are now widely available to help individuals monitor their blood pressure, but little is known about the conditions under which such technology can effect positive behavior changes or clinical outcomes.
To study the influence of wireless self-monitoring program and patient activation measures on health behaviors, medication adherence, and blood pressure levels as well as control of blood pressure in hypertensive patients.
We examined a subset of 95 hypertensive participants from a 6-month randomized controlled trial designed to determine the utility of a wireless self-monitoring program (n=52 monitoring program, n=43 control), which consisted of a blood pressure monitoring device connected with a mobile phone, reminders for self-monitoring, a Web-based disease management program, and a mobile app for monitoring and education, compared with the control group receiving a standard disease management program. Study participants provided measures of patient activation, health behaviors including smoking, drinking, and exercise, medication adherence, and blood pressure levels. We assessed the influence of wireless self-monitoring as a moderator of the relationship between patient activation and health behaviors, medication adherence, and control of blood pressure.
Improvements in patient activation were associated with improvements in cigarette smoking (beta=-0.46, P |
doi_str_mv | 10.2196/jmir.5429 |
format | Article |
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To study the influence of wireless self-monitoring program and patient activation measures on health behaviors, medication adherence, and blood pressure levels as well as control of blood pressure in hypertensive patients.
We examined a subset of 95 hypertensive participants from a 6-month randomized controlled trial designed to determine the utility of a wireless self-monitoring program (n=52 monitoring program, n=43 control), which consisted of a blood pressure monitoring device connected with a mobile phone, reminders for self-monitoring, a Web-based disease management program, and a mobile app for monitoring and education, compared with the control group receiving a standard disease management program. Study participants provided measures of patient activation, health behaviors including smoking, drinking, and exercise, medication adherence, and blood pressure levels. We assessed the influence of wireless self-monitoring as a moderator of the relationship between patient activation and health behaviors, medication adherence, and control of blood pressure.
Improvements in patient activation were associated with improvements in cigarette smoking (beta=-0.46, P<.001) and blood pressure control (beta=0.04, P=.02). This relationship was further strengthened in reducing cigarettes (beta=-0.60, P<.001), alcohol drinking (beta=-0.26, P=.01), and systolic (beta=-0.27, P=.02) and diastolic blood pressure (beta=-0.34, P=.007) at 6 months among individuals participating in the wireless self-monitoring program. No differences were observed with respect to medication adherence.
Participation in a wireless self-monitoring program provides individuals motivated to improve their health management with an added benefit above and beyond that of motivation alone. Hypertensive individuals eager to change health behaviors are excellent candidates for mobile health self-monitoring..
ClinicalTrials.gov NCT01975428, https://clinicaltrials.gov/ct2/show/NCT01975428 (Archived by WebCite at http://www.webcitation.org/6iSO5OgOG).</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.5429</identifier><identifier>PMID: 27334418</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Adherence ; Aged ; Alcohol Drinking ; Alcohol use ; Antihypertensive Agents - therapeutic use ; Behavior change ; Blood Pressure ; Blood Pressure Determination ; Candidates ; Cell Phone ; Cellular telephones ; Cigarettes ; Clinical outcomes ; Clinical trials ; Disease management ; Drugs ; Exercise ; Female ; Health Behavior ; Humans ; Hypertension ; Hypertension - drug therapy ; Internet ; Male ; Medication Adherence ; Middle Aged ; Mobile Applications ; Mobile phones ; Motivation ; Original Paper ; Patient compliance ; Patient Participation ; Reminders ; Self Care ; Selfmanagement ; Selfmonitoring ; Smoking ; Technology ; Telemedicine - methods</subject><ispartof>Journal of medical Internet research, 2016-06, Vol.18 (6), p.e116-e116</ispartof><rights>Copyright Gunther Eysenbach MD MPH, Associate Professor Jun 2016</rights><rights>Ju Young Kim, Nathan. E. Wineinger, Steven. R. Steinhubl. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.06.2016. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-e2850841fa501f9337cd2f37a541f35e92a178896689479fe085622870cbbda93</citedby><cites>FETCH-LOGICAL-c469t-e2850841fa501f9337cd2f37a541f35e92a178896689479fe085622870cbbda93</cites><orcidid>0000-0001-6018-3337 ; 0000-0002-9256-7914 ; 0000-0003-4517-228X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,723,776,780,860,881,27901,27902,30976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27334418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Ju Young</creatorcontrib><creatorcontrib>Wineinger, Nathan E</creatorcontrib><creatorcontrib>Steinhubl, Steven R</creatorcontrib><title>The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>Active engagement in the management of hypertension is important in improving self-management behaviors and clinical outcomes. Mobile phone technology using wireless monitoring tools are now widely available to help individuals monitor their blood pressure, but little is known about the conditions under which such technology can effect positive behavior changes or clinical outcomes.
To study the influence of wireless self-monitoring program and patient activation measures on health behaviors, medication adherence, and blood pressure levels as well as control of blood pressure in hypertensive patients.
We examined a subset of 95 hypertensive participants from a 6-month randomized controlled trial designed to determine the utility of a wireless self-monitoring program (n=52 monitoring program, n=43 control), which consisted of a blood pressure monitoring device connected with a mobile phone, reminders for self-monitoring, a Web-based disease management program, and a mobile app for monitoring and education, compared with the control group receiving a standard disease management program. Study participants provided measures of patient activation, health behaviors including smoking, drinking, and exercise, medication adherence, and blood pressure levels. We assessed the influence of wireless self-monitoring as a moderator of the relationship between patient activation and health behaviors, medication adherence, and control of blood pressure.
Improvements in patient activation were associated with improvements in cigarette smoking (beta=-0.46, P<.001) and blood pressure control (beta=0.04, P=.02). This relationship was further strengthened in reducing cigarettes (beta=-0.60, P<.001), alcohol drinking (beta=-0.26, P=.01), and systolic (beta=-0.27, P=.02) and diastolic blood pressure (beta=-0.34, P=.007) at 6 months among individuals participating in the wireless self-monitoring program. No differences were observed with respect to medication adherence.
Participation in a wireless self-monitoring program provides individuals motivated to improve their health management with an added benefit above and beyond that of motivation alone. Hypertensive individuals eager to change health behaviors are excellent candidates for mobile health self-monitoring..
ClinicalTrials.gov NCT01975428, https://clinicaltrials.gov/ct2/show/NCT01975428 (Archived by WebCite at http://www.webcitation.org/6iSO5OgOG).</description><subject>Adherence</subject><subject>Aged</subject><subject>Alcohol Drinking</subject><subject>Alcohol use</subject><subject>Antihypertensive Agents - therapeutic use</subject><subject>Behavior change</subject><subject>Blood Pressure</subject><subject>Blood Pressure Determination</subject><subject>Candidates</subject><subject>Cell Phone</subject><subject>Cellular telephones</subject><subject>Cigarettes</subject><subject>Clinical outcomes</subject><subject>Clinical trials</subject><subject>Disease management</subject><subject>Drugs</subject><subject>Exercise</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - drug therapy</subject><subject>Internet</subject><subject>Male</subject><subject>Medication Adherence</subject><subject>Middle Aged</subject><subject>Mobile Applications</subject><subject>Mobile phones</subject><subject>Motivation</subject><subject>Original Paper</subject><subject>Patient compliance</subject><subject>Patient Participation</subject><subject>Reminders</subject><subject>Self Care</subject><subject>Selfmanagement</subject><subject>Selfmonitoring</subject><subject>Smoking</subject><subject>Technology</subject><subject>Telemedicine - methods</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNpdklFv0zAUhSMEYmPwwB9AlngBaRmxncQ2D0hdBXRSJ6atiEfLTW4aV45dbKeo_GZ-BO66TYMnX_l-PudYOln2GhdnBIv6w3rQ_qwqiXiSHeOS8pxzhp8-mo-yFyGsi4IUpcDPsyPCKC1LzI-zP4se0IXtzAi2AeQ69EN7MBACugHT5ZfO6ui8tit05d3KqwE5i2J6dA1GRe1s6PUGnUP8BWDRVboCG9GkiXp7u0bKtmgGysQ-Ub3aaufDKbqEVjcHYNL24Pfup7fsuXGuTWYpwugBzWELJiBt0Wy3AR_BBr2Fe6PwEU3QzbgMcWx3-_QKXScRN-jf0KKps9E7Y9K48FqZl9mzTpkAr-7Ok-z7l8-L6Syff_t6MZ3M86asRcyB8KrgJe5UVeBOUMqalnSUqSrd0QoEUZhxLuqai5KJDgpe1YRwVjTLZasEPck-HXQ343KAtklBvTJy4_Wg_E46peW_G6t7uXJbWQpaMUGSwLs7Ae9-jhCiHHRowBhlwY1BYiZEsqwZS-jb_9C1G71N35OYU05S5qpM1PsD1XgXgofuIQwu5L5Dct8hue9QYt88Tv9A3peG_gVad8cr</recordid><startdate>20160622</startdate><enddate>20160622</enddate><creator>Kim, Ju Young</creator><creator>Wineinger, Nathan E</creator><creator>Steinhubl, Steven R</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</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>7QJ</scope><scope>E3H</scope><scope>F2A</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6018-3337</orcidid><orcidid>https://orcid.org/0000-0002-9256-7914</orcidid><orcidid>https://orcid.org/0000-0003-4517-228X</orcidid></search><sort><creationdate>20160622</creationdate><title>The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial</title><author>Kim, Ju Young ; Wineinger, Nathan E ; Steinhubl, Steven R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-e2850841fa501f9337cd2f37a541f35e92a178896689479fe085622870cbbda93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adherence</topic><topic>Aged</topic><topic>Alcohol Drinking</topic><topic>Alcohol use</topic><topic>Antihypertensive Agents - therapeutic use</topic><topic>Behavior change</topic><topic>Blood Pressure</topic><topic>Blood Pressure Determination</topic><topic>Candidates</topic><topic>Cell Phone</topic><topic>Cellular telephones</topic><topic>Cigarettes</topic><topic>Clinical outcomes</topic><topic>Clinical trials</topic><topic>Disease management</topic><topic>Drugs</topic><topic>Exercise</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - drug therapy</topic><topic>Internet</topic><topic>Male</topic><topic>Medication Adherence</topic><topic>Middle Aged</topic><topic>Mobile Applications</topic><topic>Mobile phones</topic><topic>Motivation</topic><topic>Original Paper</topic><topic>Patient compliance</topic><topic>Patient Participation</topic><topic>Reminders</topic><topic>Self Care</topic><topic>Selfmanagement</topic><topic>Selfmonitoring</topic><topic>Smoking</topic><topic>Technology</topic><topic>Telemedicine - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Ju Young</creatorcontrib><creatorcontrib>Wineinger, Nathan E</creatorcontrib><creatorcontrib>Steinhubl, Steven R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Ju Young</au><au>Wineinger, Nathan E</au><au>Steinhubl, Steven R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2016-06-22</date><risdate>2016</risdate><volume>18</volume><issue>6</issue><spage>e116</spage><epage>e116</epage><pages>e116-e116</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>Active engagement in the management of hypertension is important in improving self-management behaviors and clinical outcomes. Mobile phone technology using wireless monitoring tools are now widely available to help individuals monitor their blood pressure, but little is known about the conditions under which such technology can effect positive behavior changes or clinical outcomes.
To study the influence of wireless self-monitoring program and patient activation measures on health behaviors, medication adherence, and blood pressure levels as well as control of blood pressure in hypertensive patients.
We examined a subset of 95 hypertensive participants from a 6-month randomized controlled trial designed to determine the utility of a wireless self-monitoring program (n=52 monitoring program, n=43 control), which consisted of a blood pressure monitoring device connected with a mobile phone, reminders for self-monitoring, a Web-based disease management program, and a mobile app for monitoring and education, compared with the control group receiving a standard disease management program. Study participants provided measures of patient activation, health behaviors including smoking, drinking, and exercise, medication adherence, and blood pressure levels. We assessed the influence of wireless self-monitoring as a moderator of the relationship between patient activation and health behaviors, medication adherence, and control of blood pressure.
Improvements in patient activation were associated with improvements in cigarette smoking (beta=-0.46, P<.001) and blood pressure control (beta=0.04, P=.02). This relationship was further strengthened in reducing cigarettes (beta=-0.60, P<.001), alcohol drinking (beta=-0.26, P=.01), and systolic (beta=-0.27, P=.02) and diastolic blood pressure (beta=-0.34, P=.007) at 6 months among individuals participating in the wireless self-monitoring program. No differences were observed with respect to medication adherence.
Participation in a wireless self-monitoring program provides individuals motivated to improve their health management with an added benefit above and beyond that of motivation alone. Hypertensive individuals eager to change health behaviors are excellent candidates for mobile health self-monitoring..
ClinicalTrials.gov NCT01975428, https://clinicaltrials.gov/ct2/show/NCT01975428 (Archived by WebCite at http://www.webcitation.org/6iSO5OgOG).</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>27334418</pmid><doi>10.2196/jmir.5429</doi><orcidid>https://orcid.org/0000-0001-6018-3337</orcidid><orcidid>https://orcid.org/0000-0002-9256-7914</orcidid><orcidid>https://orcid.org/0000-0003-4517-228X</orcidid><oa>free_for_read</oa></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
subjects | Adherence Aged Alcohol Drinking Alcohol use Antihypertensive Agents - therapeutic use Behavior change Blood Pressure Blood Pressure Determination Candidates Cell Phone Cellular telephones Cigarettes Clinical outcomes Clinical trials Disease management Drugs Exercise Female Health Behavior Humans Hypertension Hypertension - drug therapy Internet Male Medication Adherence Middle Aged Mobile Applications Mobile phones Motivation Original Paper Patient compliance Patient Participation Reminders Self Care Selfmanagement Selfmonitoring Smoking Technology Telemedicine - methods |
title | The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial |
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