{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T17:40:10Z","timestamp":1792345210940,"version":"4.4.0"},"reference-count":53,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"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"],"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Telehealth, remote monitoring, and other digital interventions may support chronic disease management, but evidence from Latin America and the Caribbean (LAC) remains fragmented. We evaluated clinical effectiveness and characterized human support, clinical integration, and implementation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>PubMed, Scopus, SciELO, and LILACS were searched through July 2026 for studies of digital interventions in adults with type 2 diabetes or hypertension in LAC. Random-effects meta-analyses were restricted to randomized trials and used restricted maximum likelihood estimation, Hartung\u2013Knapp adjustment, and 95% prediction intervals (PIs). Evidence certainty was assessed using Grading of Recommendations Assessment, Development, and Evaluation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Thirty-six studies (41 reports) from 12 countries were included: 15 randomized and 21 nonrandomized. Six trials (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 689) showed lower HbA1c (mean difference [MD] \u22121.23 percentage points; 95% confidence interval [CI] \u22122.19 to \u22120.26;\n                      <jats:italic toggle=\"yes\">\n                        I\n                        <jats:sup>2<\/jats:sup>\n                        =\n                      <\/jats:italic>\n                      83.8%; PI: \u22123.64 to 1.18). Seven trials (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 2,280) showed lower systolic blood pressure (SBP; MD: \u22124.97 mmHg; 95% CI: \u22127.15 to \u22122.79;\n                      <jats:italic toggle=\"yes\">\n                        I\n                        <jats:sup>2<\/jats:sup>\n                        =\n                      <\/jats:italic>\n                      26.1%; PI: \u22128.85 to \u22121.09), and five (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 1,825) showed lower diastolic blood pressure (DBP; MD: \u22123.46 mmHg; 95% CI: \u22125.69 to \u22121.22;\n                      <jats:italic toggle=\"yes\">\n                        I\n                        <jats:sup>2<\/jats:sup>\n                        =\n                      <\/jats:italic>\n                      76.1%; PI: \u22129.24 to 2.33). Certainty was moderate for SBP and low for HbA1c and DBP. Professional support and clinical integration were common, whereas sustainability, scalability, interoperability, costs, and equity were inconsistently evaluated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Digitally enabled chronic care may improve glycemic and blood-pressure control in LAC, with the most consistent evidence for SBP. Heterogeneous intervention models and limited implementation evidence warrant comparative effectiveness\u2013implementation studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15305627261497215","type":"journal-article","created":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T17:12:10Z","timestamp":1792170730000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Telehealth and Digital Interventions for Type 2 Diabetes and Hypertension in Latin America and the Caribbean: A Systematic Review and Meta-Analysis"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8494-4698","authenticated-orcid":false,"given":"Fabi\u00e1n","family":"Torres-Campoverde","sequence":"first","affiliation":[{"name":"Facultad de Ciencias de la Salud, Universidad Internacional SEK, Quito, Ecuador."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bol\u00edvar","family":"Torres-Campoverde","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias M\u00e9dicas, Universidad de Cuenca, Cuenca, Ecuador."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,16]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(23)01301-6"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(22)00186-3"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/HJH.0000000000002108"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.26633\/RPSP.2023.26"},{"key":"e_1_3_2_6_1","unstructured":"5.Pan American Health Organization. NCDs at a Glance 2025. NCDs surveillance and monitoring: Noncommunicable disease mortality and risk factor prevalence in the Americas. Available from: https:\/\/iris.paho.org\/handle\/10665.2\/65818 [Last accessed: August17 2026]."},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.2196\/55757"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(23)00002-X"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1089\/tmj.2011.0271"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.11358"},{"key":"e_1_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.7189\/jogh.16.04232"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-023-09267-0"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.9745\/GHSP-D-20-00076"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1177\/19322968211034533"},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/s43058-022-00255-9"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-023-09082-7"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph20095719"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.lana.2024.100923"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.4067\/s0034-98872024000900969"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2025.1420244"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40814-020-0558-7"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.1177\/11795514251349342"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2015.0283"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2015.0253"},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcdhc.2026.1734589"},{"key":"e_1_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13340-026-00898-2"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.4067\/S0034-98872010000600010"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1111\/jch.13098"},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.26633\/RPSP.2020.18"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1177\/20480040231178585"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.3389\/frhs.2024.1263331"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-63057-w"},{"issue":"4","key":"e_1_3_2_33_1","first-page":"e107606","article-title":"The impact of an engagement solution incorporating antihypertensive medications, engagement tools, and a digital application on adherence among hypertensive patients: A Real-World Study","volume":"18","author":"Goncalves Campana EM","year":"2026","unstructured":"32.Goncalves Campana EM, , De Castro Sepetiba RJ, , Pacheco De Souza FR, et al. 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Projeto-piloto de telemonitoramento glic\u00eamico de pacientes com diabete melito tipo 2 na Aten\u00e7\u00e3o Prim\u00e1ria em Belo Horizonte-MG. Rev M\u00e9d Minas Gerais Online 2016;26:1\u20138.","journal-title":"Rev M\u00e9d Minas Gerais Online"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1590\/0102-311xen050023"},{"key":"e_1_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.30681\/2526101011665"},{"key":"e_1_3_2_41_1","article-title":"Telemedicina en el control de la hipertensi\u00f3n arterial","volume":"8","author":"Sp\u00f3sito P","year":"2023","unstructured":"40.Sp\u00f3sito P, , Taborda A, , Adano A, et al. Telemedicina en el control de la hipertensi\u00f3n arterial. Rev Urug Med Interna 2023;8. 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