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Topics
- Behavioral Health (1)
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- (-) Chronic Conditions (8)
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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 DisplayedNorton JM, Ip A, Ruggiano N
AHRQ Author: Camara DS, Hsiao CJ, Bierman AS
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
People with multiple chronic conditions often receive care from a broad array of clinicians across multiple health care settings, making it difficult to share care plans between those facilities and providers. One method for possibly improving care for those individuals is through the development and use of comprehensive, shared, electronic care (e-care) plans. The purpose of the study was to review existing e-care plans and related initiatives that could be utilized to develop a comprehensive, shared e-care plan, and facilitate the National Institutes of Health and Agency for Healthcare Research and Quality joint initiative’s creation of e-care planning tools for people with multiple chronic conditions. The researchers conducted a review of literature from 2015-2020, as well as interviews of expert informants to identify information missing from the literature search. The study identified 7 different interventions for e-care plans and 3 different projects for health care data standards, all of which included elements which could be utilized to further the goals of developing a comprehensive, shared e-care plan. The study concluded that while none of the existing interventions met all the optimal e-care plan criteria for people with multiple chronic conditions, each plan included the infrastructure necessary to progress toward that goal. The researchers reported that gaps must first be addressed, but that a comprehensive, shared e-care plan can improve care coordination across multiple care settings and clinicians.
AHRQ-authored.
Citation: Norton JM, Ip A, Ruggiano N .
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
J Med Internet Res 2022 Jun 10;24(6):e36569. doi: 10.2196/36569..
Keywords: Chronic Conditions, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Health Information Exchange (HIE)
Juckett DA, Davis FN, Gostine M
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
The researchers aimed to build a phenotype-to-outcome model targeting chronic pain to be used to drive clinical decision support for pain medicine in the community setting. Exploratory factor analysis of the intake Pain Health Assessment revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction.
AHRQ-funded; HS022335.
Citation: Juckett DA, Davis FN, Gostine M .
Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.
BMC Med Inform Decis Mak 2015 May 28;15:41. doi: 10.1186/s12911-015-0164-4..
Keywords: Care Management, Chronic Conditions, Community-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Pain
Neff JM, Clifton H, Popalisky J
Stratification of children by medical complexity.
The investigators stratified children using the software, Clinical Risk Groups (CRGs), in a tertiary children's hospital and a state's Medicaid claims data into 3 condition groups: complex chronic disease; noncomplex chronic disease, and nonchronic disease. They concluded that CRGs can be used to stratify children receiving care at a tertiary care hospital according to complexity in both hospital and Medicaid administrative data.
AHRQ-funded; HS020506.
Citation: Neff JM, Clifton H, Popalisky J .
Stratification of children by medical complexity.
Acad Pediatr 2015 Mar-Apr;15(2):191-6. doi: 10.1016/j.acap.2014.10.007.
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Keywords: Children/Adolescents, Chronic Conditions, Data, Electronic Health Records (EHRs), Children/Adolescents
Jones JB, Weiner JP, Shah NR
The wired patient: patterns of electronic patient portal use among patients with cardiac disease or diabetes.
The researchers described the types and patterns of portal users in an integrated delivery system. They found naturally occurring groups of EHR Web portal users within a population of adult primary care patients with chronic conditions. More than half of the patient cohort exhibited distinct patterns of portal use linked to key features.
AHRQ-funded; HS016228.
Citation: Jones JB, Weiner JP, Shah NR .
The wired patient: patterns of electronic patient portal use among patients with cardiac disease or diabetes.
J Med Internet Res 2015 Feb 20;17(2):e42. doi: 10.2196/jmir.3157..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Primary Care, Healthcare Delivery, Chronic Conditions
Herrin J, da Graca B, Aponte P
Impact of an EHR-based diabetes management form on quality and outcomes of diabetes care in primary care practices.
The researchers assessed the impact of a diabetes management form (DMF) accessible within an electronic health record on the quality and outcomes of diabetes care. They found that although tests (microalbumin, eye and foot exams) increased more for DMF-exposed patients, these patients had less improvement in achieving outcomes.
AHRQ-funded; HS020696
Citation: Herrin J, da Graca B, Aponte P .
Impact of an EHR-based diabetes management form on quality and outcomes of diabetes care in primary care practices.
Am J Med Qual. 2015 Jan-Feb;30(1):14-22. doi: 10.1177/1062860613516991..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Chronic Conditions
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
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