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AHRQ Research Studies Date
Topics
- Asthma (1)
- Behavioral Health (1)
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- Children/Adolescents (3)
- (-) Chronic Conditions (8)
- Depression (1)
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- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (4)
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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 DisplayedRatanawongsa N, Chan LL, Fouts MM
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, it presents evidence for the adoption of RxNorm and standardized naming and picklist options for high alert medications such as insulin.
AHRQ-funded; HS022561; HS023558.
Citation: Ratanawongsa N, Chan LL, Fouts MM .
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
J Diabetes Res 2017;2017:8983237. doi: 10.1155/2017/8983237.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Vulnerable Populations, Diabetes, Patient Safety, Chronic Conditions
Ganapathy D, Acharya C, Lachar J
The patient buddy app can potentially prevent hepatic encephalopathy-related readmissions.
The researchers aimed to define the feasibility of using the Patient Buddy App and its impact on 30-day readmissions by engaging and educating cirrhotic inpatients and caregivers in a pilot study. In their proof-of-concept trial, the use of Patient Buddy is feasible in recently discharged patients with cirrhosis and their caregivers. Eight hepatic encephalopathy-related readmissions were potentially avoided after the use of the App.
AHRQ-funded; HS024004.
Citation: Ganapathy D, Acharya C, Lachar J .
The patient buddy app can potentially prevent hepatic encephalopathy-related readmissions.
Liver Int 2017 Dec;37(12):1843-51. doi: 10.1111/liv.13494.
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Keywords: Caregiving, Chronic Conditions, Health Information Technology (HIT), Patient and Family Engagement, Hospital Readmissions
Rudin RS, Fanta CH, Predmore Z
Core components for a clinically integrated mhealth app for asthma symptom monitoring.
The aim of the study was to apply user-centered design principles to efficiently identify core components for a mHealth-based asthma symptom-monitoring intervention using patient-reported outcomes (PROs).
AHRQ-funded; HS023960.
Citation: Rudin RS, Fanta CH, Predmore Z .
Core components for a clinically integrated mhealth app for asthma symptom monitoring.
Appl Clin Inform 2017 Oct;8(4):1031-43. doi: 10.4338/aci-2017-06-ra-0096.
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Keywords: Asthma, Chronic Conditions, Health Information Technology (HIT), System Design
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