<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jindal D</submitter><funding>NHLBI NIH HHS</funding><pagination>688</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9125907</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The growing burden of hypertension and diabetes is one of the major public health challenges being faced by the health system in India. Clinical Decision Support Systems (CDSS) that assist with tailoring evidence-based management approaches combined with task-shifting from more specialized to less specialized providers may together enhance the impact of a program. We sought to integrate a technology "CDSS" and a strategy "Task-shifting" within the Government of India's (GoI) Non-Communicable Diseases (NCD) System under the Comprehensive Primary Health Care (CPHC) initiative to enhance the program's impact to address the growing burden of hypertension and diabetes in India.&lt;h4>Methods&lt;/h4>We developed a model of care "I-TREC" entirely calibrated for implementation within </pubmed_abstract><journal>BMC health services research</journal><pubmed_title>Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care.</pubmed_title><pmcid>PMC9125907</pmcid><funding_grant_id>5U01HL138635</funding_grant_id><pubmed_authors>Sharma R</pubmed_authors><pubmed_authors>Jarhyan P</pubmed_authors><pubmed_authors>Gupta Y</pubmed_authors><pubmed_authors>Patel SA</pubmed_authors><pubmed_authors>Roy A</pubmed_authors><pubmed_authors>Sharma H</pubmed_authors><pubmed_authors>Jindal D</pubmed_authors><pubmed_authors>Ali M</pubmed_authors><pubmed_authors>Ali MK</pubmed_authors><pubmed_authors>Weber MB</pubmed_authors><pubmed_authors>Prabhakaran D</pubmed_authors><pubmed_authors>Mohan S</pubmed_authors><pubmed_authors>Ajay VS</pubmed_authors><pubmed_authors>Tandon N</pubmed_authors><pubmed_authors>Narayan KMV</pubmed_authors><pubmed_authors>Gupta P</pubmed_authors><pubmed_authors>Srinivasapura Venkateshmurthy N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improving care for hypertension and diabetes in india by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care.</name><description>&lt;h4>Background&lt;/h4>The growing burden of hypertension and diabetes is one of the major public health challenges being faced by the health system in India. Clinical Decision Support Systems (CDSS) that assist with tailoring evidence-based management approaches combined with task-shifting from more specialized to less specialized providers may together enhance the impact of a program. We sought to integrate a technology "CDSS" and a strategy "Task-shifting" within the Government of India's (GoI) Non-Communicable Diseases (NCD) System under the Comprehensive Primary Health Care (CPHC) initiative to enhance the program's impact to address the growing burden of hypertension and diabetes in India.&lt;h4>Methods&lt;/h4>We developed a model of care "I-TREC" entirely calibrated for implementation within </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2025-04-04T22:15:12.362Z</modification><creation>2024-11-13T06:12:52.224Z</creation></dates><accession>S-EPMC9125907</accession><cross_references><pubmed>35606762</pubmed><doi>10.1186/s12913-022-08025-y</doi></cross_references></HashMap>