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AHRQ Research Studies Date
Topics
- Cancer (2)
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- (-) Electronic Health Records (EHRs) (9)
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- (-) Health Services Research (HSR) (9)
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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 9 of 9 Research Studies DisplayedRodriguez PJ, Ward ZJ, Long MW
Applied methods for estimating transition probabilities from electronic health record data.
This study examined the usefulness of electronic health records (EHRs) in estimating transition probabilities for state-transition models. No guidelines exist on appropriate methods. The authors used 3 potential methods to estimate transition probabilities for EHR data, using pediatric eating disorders (EDs) as a case study. They mapped diagnoses to 3 ED health states: anorexia nervous, bulimia nervosa, and other specified feeding or eating disorder using data from PEDsnet, which includes 8 US children’s hospitals. They used 3 approaches: simple first-last proportions, a multistate Markov (MSM) model, and independent survival models. The first-last proportion approach estimated higher probabilities of remaining the same health state, while the other two approaches estimated higher probabilities of transitioning to a different health state. Published literature differed substantially from these estimates. Further research is needed to improve methods for using EHR data to inform transition probabilities.
AHRQ-funded; HS013853.
Citation: Rodriguez PJ, Ward ZJ, Long MW .
Applied methods for estimating transition probabilities from electronic health record data.
Med Decis Making 2021 Feb;41(2):143-52. doi: 10.1177/0272989x20985752..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Thompson HM
Stakeholder experiences with gender identity data capture in electronic health records: implementation effectiveness and a visibility paradox.
Advocates have endorsed transgender visibility via gender identity (GI) data capture with the advent of the Affordable Care Act and electronic health record (EHR) requirements. Visibility in data in order to enumerate a population contrasts with ways in which other LGBT and public health scholars have deployed these concepts. This article aims to assess the effectiveness of GI data capture in EHRs and implications for trans health care quality improvements and research.
AHRQ-funded; HS026385.
Citation: Thompson HM .
Stakeholder experiences with gender identity data capture in electronic health records: implementation effectiveness and a visibility paradox.
Health Educ Behav 2021 Feb;48(1):93-101. doi: 10.1177/1090198120963102.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Vulnerable Populations, Sex Factors
Vemulakonda VM, Bush RA, Kahn MG
"Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.
This literature study examined the use of electronic health records (EHRs) to facilitate research in pediatric urology. The use of EHRs has been strongly encouraged by US federal agencies, including AHRQ. The researchers found that EHR use for research has strengths and weaknesses and more collaboration is needed to identify the method that best suits incorporation of research-oriented data collection into routine pediatric urologic clinical practice.
AHRQ-funded; HS024597; HS022404.
Citation: Vemulakonda VM, Bush RA, Kahn MG .
"Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.
J Pediatr Urol 2018 Oct;14(5):374-81. doi: 10.1016/j.jpurol.2018.04.033..
Keywords: Electronic Health Records (EHRs), Children/Adolescents, Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Marino M, Angier H, Valenzuela S
Medicaid coverage accuracy in electronic health records.
The objective of the study was to evaluate the validity of electronic health record (EHR) data for monitoring longitudinal Medicaid coverage and assess variation by patient demographics, visit types, and clinic characteristics. The researchers conducted a retrospective, observational study comparing Medicaid status agreement between Oregon community health center EHR data linked at the patient-level to Medicaid enrollment data (gold standard).
AHRQ-funded; HS024270.
Citation: Marino M, Angier H, Valenzuela S .
Medicaid coverage accuracy in electronic health records.
Prev Med Rep 2018 Sep;11:297-304. doi: 10.1016/j.pmedr.2018.07.009..
Keywords: Electronic Health Records (EHRs), Health Insurance, Health Services Research (HSR), Medicaid, Policy
Walker DM, Hefner JL, Sieck CJ
Framework for evaluating and implementing inpatient portals: a multi-stakeholder perspective.
Inpatient portals are emerging as an important tool to support patient care and are increasingly being adopted in hospitals. However, best practices concerning the implementation, use, and impact of these portals are poorly understood. To improve evaluation and implementation efforts, this paper develops a logic model that can help researchers and hospital managers in deploying and assessing the impact of inpatient portals.
AHRQ-funded; HS024349; HS024091.
Citation: Walker DM, Hefner JL, Sieck CJ .
Framework for evaluating and implementing inpatient portals: a multi-stakeholder perspective.
J Med Syst 2018 Jul 16;42(9):158. doi: 10.1007/s10916-018-1009-3..
Keywords: Electronic Health Records (EHRs), Health Services Research (HSR), Hospitals, Web-Based
Sarkhel R, Socha JJ, Mount-Campbell A
HOW nurses identify hospitalized patients on their personal notes: findings from analyzing 'brains' headers with multiple raters.
Many nurses use handwritten notes in order to avoid using electronic health records to access information about patients. At the top of these notes are patient identifiers. By identifying aspects of good and suboptimal headers, the authors began to form a model of how to effectively support identifying patients during assessments and care activities. The primary finding was that nurses use room number as the primary patient identifier in the hospital setting, not the patient's last name.
AHRQ-funded; HS024379.
Citation: Sarkhel R, Socha JJ, Mount-Campbell A .
HOW nurses identify hospitalized patients on their personal notes: findings from analyzing 'brains' headers with multiple raters.
Proc Int Symp Hum Factors Ergon Healthc 2018 Jun;7(1):205-09. doi: 10.1177/2327857918071045..
Keywords: Electronic Health Records (EHRs), Health Services Research (HSR), Inpatient Care, Nursing
Mohan V, Scholl G, Gold JA
Use of EHR-based simulation to diagnose aetiology of information gathering issues in struggling learners: a proof of concept study.
The researchers previously documented that high-fidelity EHR-based simulation improves EHR usability and, when combined with eye and screen tracking, generates important measures of usability. They hypothesised that the same simulation exercise could help distinguish whether learners had difficulty in knowledge, information gathering or information processing. In this paper, they report the results of the first three struggling learners who participated in this exercise.
AHRQ-funded; HS023793; HS021637.
Citation: Mohan V, Scholl G, Gold JA .
Use of EHR-based simulation to diagnose aetiology of information gathering issues in struggling learners: a proof of concept study.
BMJ Simul Technol Enhanc Learn 2018 Apr;4(2):92-94. doi: 10.1136/bmjstel-2017-000217.
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Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Services Research (HSR), Training
Murphy DR, Meyer A AND, Vaghani V
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
This study’s authors developed, refined, and tested trigger algorithms that identify patients with delayed follow-up evaluation of findings suspicious of colorectal cancer (CRC) or hepatocellular cancer (HCC). Using data from the Veterans Affairs electronic health record database, the researchers developed an algorithm that greatly reduces the number of record reviews necessary to identify delays in follow-up evaluations for patients with suspected CRC or HCC.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer A AND, Vaghani V .
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
Clin Gastroenterol Hepatol 2018 Jan;16(1):90-98. doi: 10.1016/j.cgh.2017.08.007..
Keywords: Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Services Research (HSR)
Murphy DR, Meyer A AND, Vaghani V
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
This study’s authors developed, refined, and tested trigger algorithms that identify patients with delayed follow-up evaluation of findings suspicious of colorectal cancer (CRC) or hepatocellular cancer (HCC). Using data from the Veterans Affairs electronic health record database, the researchers developed an algorithm that greatly reduces the number of record reviews necessary to identify delays in follow-up evaluations for patients with suspected CRC or HCC.
AHRQ-funded; HS022901.
Citation: Murphy DR, Meyer A AND, Vaghani V .
Development and validation of trigger algorithms to identify delays in diagnostic evaluation of gastroenterological cancer.
Clin Gastroenterol Hepatol 2018 Jan;16(1):90-98. doi: 10.1016/j.cgh.2017.08.007..
Keywords: Cancer, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Services Research (HSR)