National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Care Management (1)
- Children/Adolescents (3)
- Clinical Decision Support (CDS) (2)
- Clinician-Patient Communication (2)
- Community-Based Practice (1)
- Diagnostic Safety and Quality (1)
- Digestive Disease and Health (1)
- Electronic Health Records (EHRs) (2)
- (-) Health Information Technology (HIT) (5)
- (-) Obesity (5)
- Obesity: Weight Management (1)
- Patient-Centered Outcomes Research (1)
- Primary Care (1)
- Telehealth (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 5 of 5 Research Studies DisplayedTaveras EM, Marshall R, Sharifi M
Connect for Health: Design of a clinical-community childhood obesity intervention testing best practices of positive outliers.
The Connect for Health study is designed to assess whether a novel approach to care delivery that leverages clinical and community resources and addresses socio-contextual factors will improve body mass index and family-centered, obesity-related outcomes of interest to parents and children. The intervention is informed by clinical, community, parent, and youth stakeholders and incorporates successful strategies and best practices learned from 'positive outlier' families.
AHRQ-funded; HS022986.
Citation: Taveras EM, Marshall R, Sharifi M .
Connect for Health: Design of a clinical-community childhood obesity intervention testing best practices of positive outliers.
Contemp Clin Trials 2015 Nov;45(Pt B):287-95. doi: 10.1016/j.cct.2015.09.022.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Community-Based Practice, Patient-Centered Outcomes Research
Chung CF, Cook K, Bales E
More than telemonitoring: Health provider use and nonuse of life-log data in irritable bowel syndrome and weight management.
The researchers sought to develop an in-depth understanding of providers’ facilitators and barriers to successfully integrating life-log data into their practices and creating better experiences. Providers reported using self-monitoring data to enhance provider-patient communication, develop personalized treatment plans, and to motivate and educate patients, in addition to using them as diagnostic and adherence tools. Barriers included a lack of time to review detailed records and questions about providers' expertise to review it.
AHRQ-funded; HS023654.
Citation: Chung CF, Cook K, Bales E .
More than telemonitoring: Health provider use and nonuse of life-log data in irritable bowel syndrome and weight management.
J Med Internet Res 2015 Aug 21;17(8):e203. doi: 10.2196/jmir.4364..
Keywords: Digestive Disease and Health, Health Information Technology (HIT), Telehealth, Obesity, Clinician-Patient Communication
Dugan TM, Mukhopadhyay S, Carroll A
Machine learning techniques for prediction of early childhood obesity.
This study aimed to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. It demonstrated that data from a production clinical decision support system can be used to build an accurate machine learning model to predict obesity in children after age two.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Dugan TM, Mukhopadhyay S, Carroll A .
Machine learning techniques for prediction of early childhood obesity.
Appl Clin Inform 2015 Aug 12;6(3):506-20. doi: 10.4338/aci-2015-03-ra-0036.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Clinical Decision Support (CDS), Children/Adolescents
Baer HJ, Wee CC, DeVito K
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
The researchers described the design of a trial to examine the effectiveness of electronic health record-based tools for the assessment and management of overweight and obesity among adult primary care patients, as well as the challenges encountered. New features included reminders to measure height and weight, and an alert asking providers to add overweight or obesity to the problem list.
AHRQ-funded; HS019789.
Citation: Baer HJ, Wee CC, DeVito K .
Design of a cluster-randomized trial of electronic health record-based tools to address overweight and obesity in primary care.
Clin Trials 2015 Aug;12(4):374-83. doi: 10.1177/1740774515578132..
Keywords: Health Information Technology (HIT), Primary Care, Obesity, Electronic Health Records (EHRs), Clinician-Patient Communication
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