National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Asthma (1)
- Cancer (1)
- Care Management (1)
- Children's Health Insurance Program (CHIP) (1)
- (-) Children/Adolescents (7)
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (2)
- Data (1)
- Diagnostic Safety and Quality (1)
- Ear Infections (1)
- (-) Electronic Health Records (EHRs) (7)
- Health Information Technology (HIT) (5)
- Medicaid (1)
- Obesity (1)
- Obesity: Weight Management (1)
- Provider: Health Personnel (1)
- Racial and Ethnic Minorities (1)
- Shared Decision Making (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 7 of 7 Research Studies DisplayedGrundmeier RW, Song L, Ramos MJ
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
The researchers assessed the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. In a simulation experiment, they constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. They found that imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.
AHRQ-funded; HS021645.
Citation: Grundmeier RW, Song L, Ramos MJ .
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
Health Serv Res 2015 Aug;50(4):946-60. doi: 10.1111/1475-6773.12295..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Children/Adolescents, Racial and Ethnic Minorities
Fiks AG, Zhang P, Localio AR
Adoption of electronic medical record-based decision support for otitis media in children.
The authors characterized adoption of an otitis media clinical decision support (CDS) system, the impact of performance feedback on adoption, and the effects of adoption on guideline adherence. The performance feedback increased CDS adoption, but additional strategies are needed to integrate CDS into primary care workflows.
AHRQ-funded; HS017042
Citation: Fiks AG, Zhang P, Localio AR .
Adoption of electronic medical record-based decision support for otitis media in children.
Health Serv Res. 2015 Apr;50(2):489-513. doi: 10.1111/1475-6773.12240..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Ear Infections, Electronic Health Records (EHRs), Health Information Technology (HIT)
Fiks AG, Mayne SL, Karavite DJ
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
This study evaluated the feasibility, acceptability, and impact of MyAsthma, an EHR-linked patient portal supporting shared decision-making for pediatric asthma. It found that parents of children with moderate to severe persistent asthma used the portal more than others; 92 percent were satisfied with MyAsthma. Parents reported that use improved their communication with the office, ability to manage asthma, and awareness of the importance of ongoing attention to treatment.
AHRQ-funded; HS021645.
Citation: Fiks AG, Mayne SL, Karavite DJ .
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
Pediatrics 2015 Apr;135(4):e965-73. doi: 10.1542/peds.2014-3167..
Keywords: Asthma, Children/Adolescents, Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT)
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
Dingfield L, Bender L, Harris P
Comparison of pediatric and adult hospice patients using electronic medical record data from nine hospices in the United States, 2008-2012.
The researchers aimed to assess differences between pediatric and adult hospice patients regarding patient characteristics and outcomes. They found that pediatric patients were less likely to have an admitting diagnosis of cancer and less likely to use oxygen at enrollment but were more likely to have an enteral feeding tube. Also, pediatric patients were half as likely as adults to have a do-not-resuscitate order upon hospice enrollment.
AHRQ-funded; HS018425; HS021780.
Citation: Dingfield L, Bender L, Harris P .
Comparison of pediatric and adult hospice patients using electronic medical record data from nine hospices in the United States, 2008-2012.
J Palliat Med 2015 Feb;18(2):120-6. doi: 10.1089/jpm.2014.0195..
Keywords: Cancer, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT)
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
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Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Miller D, Noonan K, Fiks AG
Increasing pediatrician participation in EHR incentive programs.
The authors addressed potential causes of the variability of pediatrician registration in the meaningful use (MU) program and suggested specific solutions to support effective pediatric electronic health record implementation across all states. They concluded that implementing their proposed solutions would support pediatricians’ use of electronic health records, with an ultimate goal of improving child health.
AHRQ-funded; HS022689.
Citation: Miller D, Noonan K, Fiks AG .
Increasing pediatrician participation in EHR incentive programs.
Pediatrics 2015 Jan;135(1):e1-4. doi: 10.1542/peds.2014-2438.
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Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Provider: Health Personnel, Medicaid, Children/Adolescents