{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T06:44:08Z","timestamp":1782110648802,"version":"3.54.5"},"reference-count":57,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Telemedicine and e-Health"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">Factors affecting the effectiveness of telemonitoring in home blood pressure telemonitoring (HBPT) must be examined in an integrated analysis in urban hypertensive patients.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">In a systematic review of electronic databases, we retrieved 1,433 citations and selected 34 comparisons. Specified moderators were the duration of the intervention, the frequency of remote transmission of blood pressure (BP) data, the additional intervention, and the intervention pathway.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">For the duration of follow-up of HBPT, the weighted mean difference (WMD) in systolic blood pressure (SBP) between two groups was 11.900\u2009mmHg (p-value &lt;0.001) at 2 months and 3.024\u2009mmHg (p\u2009=\u20090.002) at 12 months. The WMD in SBP was 5.512\u2009mmHg (p\u2009&lt;\u20090.001) in cases where data were transmitted daily and 1.818\u2009mmHg (p\u2009=\u20090.084) for monthly transmission. For the group in which further interventions with HBPT were conducted, the WMD in SBP was 3.813\u2009mmHg (p\u2009&lt;\u20090.001). For patients who did not receive additional interventions, the WMD was 2.747\u2009mmHg (p\u2009=\u20090.005). For the pathway of HBPT, the WMD was 6.800\u2009mmHg (p\u2009=\u20090.053) when BP values were remote transmitted through letter, 3.041\u2009mmHg (p\u2009=\u20090.001) through mobile phone\/web, 2.224\u2009mmHg (p\u2009=\u20090.043) through telephone-linked computer system, and 4.352\u2009mmHg (p\u2009&lt;\u20090.001) through telephone.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">The effects of moderators of HBPT systems utilized with urban hypertensive patients differ from those in interventions that did not distinguish urban from rural areas. Results for duration of implementation and frequency of data transmission were significant. Among the interventions using telecommunications, the telephone was the most effective in comparison to other channels.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/tmj.2019.0205","type":"journal-article","created":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T10:46:19Z","timestamp":1576752379000},"page":"1016-1034","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Understanding Moderators of Home Blood Pressure Telemonitoring Systems in Urban Hypertensive Patients: A Systematic Review and Meta-Analysis"],"prefix":"10.1177","volume":"26","author":[{"given":"Woo Seok","family":"Choi","sequence":"first","affiliation":[{"name":"Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea."},{"name":"Keyu Internal Medicine Clinic, Daejeon, Republic of Korea."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"In-Soo","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Transdisciplinary Security, Dongguk University, Seoul, Republic of Korea."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae-Suk","family":"Yang","sequence":"additional","affiliation":[{"name":"Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,8,4]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.3109\/08037051.2014.868629"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.11.005"},{"key":"e_1_3_3_4_2","unstructured":"United Nations Department of Economic and Social Affairs Population Division. 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