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Total Results: 599 records

Showing results for "income".

261. A Longitudinal Telephone and Multiple Disease Management System to Improve Ambulatory Care - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/longitudinal-telephone-and-multiple-disease-management-system-improve/annual-summary/2010
     January 01, 2010 - December 2010 Target Population: Adults, Chronic Care * , Low SES/Low Income

262. An Electronic Personal Health Record for Mental Health Consumers - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-personal-health-record-mental-health-consumers/annual-summary/2011
     January 01, 2011 - Target Population: Adults, Chronic Care*, Low-SES/Low Income*, Medicaid, Mental Health/ Depression,

263. The Effects of Age, Cognition, and Health Literacy on Use of a Patient EMR - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/effects-age-cognition-and-health-literacy-use-patient-emr/annual-summary/2010
     January 01, 2010 - given a background questionnaire to gather data including gender, age, ethnicity, educational level, income

264. An Electronic Personal Health Record for Mental Health Consumers - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-personal-health-record-mental-health-consumers/annual-summary/2012
     January 01, 2012 - Target Population: Adults, Chronic Care*, Low-SES/Low Income*, Medicaid, Mental Health/Depression, Racial

265. Relations Diagram | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/relations-diagram
     January 01, 2023 - Relations Diagram Also Known As Interrelationship Diagram Network Diagram Description A relations diagram is used for identifying cause-and-effect relationships when evaluating problems that are especially confusing or complicated. When a network of these relationships is present in a pr…

266. Improving Rural Health Care: Implementing Innovative Integration Solutions | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-rural-health-care-implementing-innovative-integration-solutions
     January 01, 2023 - Report Technology: Health Information Exchange , Standards and Classifications Population: Low Income … The team has yet to track cost savings, but in theory the system should increase the efficiency of care

267. Medication Monitoring for Vulnerable Populations via Information Technology (MMITI) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-monitoring-vulnerable-populations-information-technology-mmiti
     January 01, 2023 - Cardiovascular Disease Diabetes Mellitus Population Adults Inner-City Populations Low Income

268. Impact of Meaningful Use Patient Engagement Objectives in a Multicultural Practice-Based Research Network | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/impact-meaningful-use-patient-engagement-objectives-multicultural-pbrn
     January 01, 2023 - Two of the clinic systems served a privately insured population, and the third served a low-income, underinsured

269. Metro DC Health Information Exchange - 2009 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/metro-dc-health-information-exchange-medhix/annual-summary/2009
     January 01, 2009 - September 2009, Conclusion of Grant Target Population: Low SES/Low Income

270. Wogen S et al. 2003 "Improving the efficiency of the prescription process and promoting plan adherence." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/wogen-s-et
     January 01, 2023 - Wogen S et al. 2003 "Improving the efficiency of the prescription process and promoting plan adherence." Reference Wogen S, Fulop G, Heller J. Improving the efficiency of the prescription process and promoting plan adherence. Drug Benefit Trends 2003;15(9):35-40. Abstract "Growing prescription…

271. Tools for Optimizing Medication Safety (TOP-MEDS) - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/annual-summary/2011
     January 01, 2011 - Target Population: Adults, Low Literacy, Low-SES/Low Income*, Racial or Ethnic Minorities*: African-

272. Maintaining Activity and Nutrition through Technology-Assisted Innovation in Primary Care - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/maintaining-activity-and-nutrition-through-technology-assisted-innovation-prim/annual-summary/2012
     January 01, 2012 - Target Population: Chronic Care*, Low SES/Low Income*, Obesity, Racial or Ethnic Minorities*, Women*

273. Planning the Implementation of HIT in a Rural Setting - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/p20hs014903-reiter-final-report-2006.pdf
     January 01, 2006 - the USDA assigns DLC a RUCC of 7 and notes a population of 9,417 people with a median income … Service of the USDA assigns DLC a RUCC of 7 and notes a population of 9,417 people with a median income … CHA collected $11,203,784 in net revenue during 2003, with net operating income of $606,809. … (2) Cost savings that follow from improved management and financial operations that can be applied … The sub-committee will make a detailed projection of savings that can be expected from new software

274. PA-20-070 Integrating Patient-Reported Outcomes into Routine Primary Care: Monitoring Asthma Between Visits – Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r18hs026432-03s1-rudin-final-report-2023.pdf
     January 01, 2023 - English), median income by zip code (≤$63,000 vs. >$63,000), education (no college vs. some college … criteria, approached, completed web-based eligibility questionnaire “yes”, and consented. b Median income … analyses, patient portal recruits were significantly more likely to be White, non- Hispanic, higher income … by zip code – no. (%) Low Income (≤$63,000) 33 (13.8) 50 (24.3) 0.50 (0.29, 0.82) 0.005 0.91 … (0.52, 1.59) 0.736 High Income (>63,000) 208 (86.3) 154 (75.7) Education – no. (%) No College

275. Enabling Patient-Centered Care through Health Information Technology | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enabling-patient-centered-care-through-health-information-technology
     January 01, 2023 - literature including the lack of usability; problems with access to the application due to older age, low income

276. Electronic Support for Public Health - Vaccine Adverse Event Reporting System (ESP:VAERS) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-support-public-health-vaccine-adverse-event-reporting-system
     January 01, 2023 - Care Setting Ambulatory Setting Population Adults Children Low Income

277. Computable Social Factor Phenotyping Using EHR and HIE Data | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/computable-social-factor-phenotyping-using-ehr-and-hie-data
     January 01, 2025 - Care Setting Emergency Department Hospital Population Adults Elderly Low Income

278. Quality Oral Health Care through Health Information Technology - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/quality-oral-health-care-through-health-information-technology/annual-summary/2010
     January 01, 2010 - children’s oral health fields can work together to better provide access to oral health care for low-income

279. Machine Learning to Improve Patient Triage in the Emergency Department | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/machine-learning-improve-patient-triage-emergency-department
     January 01, 2023 - percent greater odds of mis-triage compared with White patients, and found additional disparities by income

280. Patient Choice of Telemedicine Encounters | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-choice-telemedicine-encounters
     February 28, 2025 - Publication Research Method: Quantitative Technology: Telehealth/Telemedicine Population: Adults , Low Income … Quantitative Technology: Telehealth/Telemedicine Population: Individuals with Low Literacy , Low Income