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Search All Research Studies
AHRQ Research Studies Date
Topics
- Behavioral Health (1)
- Blood Pressure (1)
- Children/Adolescents (3)
- (-) Chronic Conditions (8)
- Depression (1)
- Diabetes (2)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (3)
- (-) Health Information Technology (HIT) (8)
- Human Immunodeficiency Virus (HIV) (1)
- Low-Income (1)
- Pain (2)
- Quality of Care (1)
- Sickle Cell Disease (2)
- Telehealth (1)
- Vulnerable Populations (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 8 of 8 Research Studies DisplayedSchnall R, Cho H, Mangone A
Mobile health technology for improving symptom management in low income persons living with HIV.
This study aimed to examine the impact of an mHealth application (app), comprised of evidence-based self-care strategies, on the symptom experience of persons living with HIV (PLWH). In this 12-week trial, an mHealth app, mobile Video Information Provider (mVIP), was associated with improved symptom burden and increased medication adherence in PLWH.
AHRQ-funded; HS023963.
Citation: Schnall R, Cho H, Mangone A .
Mobile health technology for improving symptom management in low income persons living with HIV.
AIDS Behav 2018 Oct;22(10):3373-83. doi: 10.1007/s10461-017-2014-0..
Keywords: Chronic Conditions, Health Information Technology (HIT), Human Immunodeficiency Virus (HIV), Low-Income, Vulnerable Populations
Jonassaint CR, Kang C, Abrams DM
Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).
The authors used a mobile e-diary app to describe day-to-day patterns in sickle cell disease (SCD)-related pain symptoms and to identify the clinical and demographic factors associated with differences in daily pain level among adult patients with SCD. They suggest that future studies of the app would benefit from implementation of strategies to increase engagement. They also conclude that, despite a limited sample size, this study provides strong evidence supporting the use of mobile technology for measuring daily pain and symptoms in SCD.
AHRQ-funded; HS023989.
Citation: Jonassaint CR, Kang C, Abrams DM .
Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).
Br J Haematol 2018 Oct;183(2):306-08. doi: 10.1111/bjh.14956..
Keywords: Chronic Conditions, Health Information Technology (HIT), Pain, Sickle Cell Disease, Telehealth
Jonassaint CR, Birenboim A, Jorgensen DR
The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease.
This letter describes a study which researched the feasibility of using GPS tracking on smartphones to identify sickle cell disease (SCD) patients aged 18-65 at risk for poor outcomes. The data was used to track physical mobility and activity spaces. Preliminary findings showed that 90% of the phones produced reliable and only 4 phones produced no data. Patients with lower hemoglobin (Hb) levels did have smaller activity spaces.
AHRQ-funded; HS022989.
Citation: Jonassaint CR, Birenboim A, Jorgensen DR .
The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease.
Br J Haematol 2018 May;181(3):395-97. doi: 10.1111/bjh.14598..
Keywords: Chronic Conditions, Health Information Technology (HIT), Pain, Sickle Cell Disease
Benkert R, Dennehy P, White J
Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.
The authors described what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics. They found that utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.
AHRQ-funded; HS017191.
Citation: Benkert R, Dennehy P, White J .
Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record.
Appl Clin Inform 2014 Aug 20;5(3):757-72. doi: 10.4338/aci-2014-03-ra-0019.
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Keywords: Diabetes, Blood Pressure, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality of Care, Chronic Conditions
Forrest CB, Margolis PA, Bailey LC
PEDSnet: a National Pediatric Learning Health System.
The authors describe a National Pediatric Learning Health System (NPLHS) that is being implemented by PEDSnet, a clinical data research network. The NPLHS will consist of a flexible dual data architecture that incorporates two widely used data models and national terminology standards to support multi-institutional data integration, cohort discovery, and advanced analytics that enable rapid learning.
AHRQ-funded; HS022974; HS019912
Citation: Forrest CB, Margolis PA, Bailey LC .
PEDSnet: a National Pediatric Learning Health System.
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):602-6. doi: 10.1136/amiajnl-2014-002743..
Keywords: Children/Adolescents, Health Information Technology (HIT), Chronic Conditions
Forrest CB, Margolis P, Seid M
PEDSnet: how a prototype pediatric learning health system is being expanded into a national network.
The authors describe a National Pediatric Learning Health System (NPLHS) that is being implemented by PEDSnet, a clinical data research network. The NPLHS will consist of a flexible dual data architecture that incorporates two widely used data models and national terminology standards to support multi-institutional data integration, cohort discovery, and advanced analytics that enable rapid learning.
AHRQ-funded; HS020024
Citation: Forrest CB, Margolis P, Seid M .
PEDSnet: how a prototype pediatric learning health system is being expanded into a national network.
Health Aff. 2014 Jul;33(7):1171-7. doi: 10.1377/hlthaff.2014.0127..
Keywords: Children/Adolescents, Health Information Technology (HIT), Chronic Conditions
Yoon S, Taha B, Bakken S
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
The purposes of this methodological paper are: 1) to describe data mining methods for building a classification model for a chronic disease using a U.S. behavior risk factor data set, and 2) to illustrate application of the methods using a case study of depressive disorder. Its application of data mining strategies identified childhood experience living with mentally ill and sexual abuse, and limited usual activity as the strongest correlates of depression among hundreds of variables.
AHRQ-funded; HS019853; HS022961.
Citation: Yoon S, Taha B, Bakken S .
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
Stud Health Technol Inform 2014;201:71-8..
Keywords: Chronic Conditions, Behavioral Health, Depression, Health Information Technology (HIT), Electronic Health Records (EHRs)
Lawrence JM, Black MH, Zhang JL
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
The researchers explored the utility of different algorithms for diabetes case identification by using electronic health records. They found that case identification accuracy was highest in 75% of bootstrapped samples for those who had 1 or more outpatient diabetes diagnoses or 1 or more insulin prescriptions and in 25% of samples for those who had 2 or more outpatient diabetes diagnoses and 1 or more antidiabetic medications.
AHRQ-funded; HS019859.
Citation: Lawrence JM, Black MH, Zhang JL .
Validation of pediatric diabetes case identification approaches for diagnosed cases by using information in the electronic health records of a large integrated managed health care organization.
Am J Epidemiol 2014 Jan;179(1):27-38. doi: 10.1093/aje/kwt230..
Keywords: Children/Adolescents, Diabetes, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality