National Healthcare Quality and Disparities Report
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- Adverse Drug Events (ADE) (1)
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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
26 to 50 of 50 Research Studies DisplayedDesRoches CM, Wong HS, Rich EC
AHRQ Author: Wong HS
Making the case for a new national data collection effort on physicians and their practices.
The pace of change in the U.S. health care system and the integral role played by physicians indicate a clear need for an ongoing, regular physician survey. The authors argue that the survey be designed to monitor over time the characteristics of all physicians in all specialties and the clinical, organizational, and financial contexts in which they operate.
AHRQ-authored
Citation: DesRoches CM, Wong HS, Rich EC .
Making the case for a new national data collection effort on physicians and their practices.
J Gen Intern Med 2015 Aug;30 Suppl 3:S553-4. doi: 10.1007/s11606-015-3386-3..
Keywords: Data, Practice Patterns, Provider, Provider: Physician
Fleming C, Rich E, DesRoches C
Measuring changes in the economics of medical practice.
This paper explores current issues relevant to defining and measuring the inputs and outputs of physician practice. It reviews practice inputs and outputs as typically described in the literature on the economics of medical practice, and identifies the conceptual challenges for defining these inputs and outputs in a complex and evolving health care system.
AHRQ-funded; 23320095642WC; 23337033T.
Citation: Fleming C, Rich E, DesRoches C .
Measuring changes in the economics of medical practice.
J Gen Intern Med 2015 Aug;30 Suppl 3:S562-7. doi: 10.1007/s11606-015-3368-5..
Keywords: Healthcare Delivery, Health Systems, Practice Patterns, Data
Lim E, Cheng Y, Reuschel C
Risk-adjusted in-hospital mortality models for congestive heart failure and acute myocardial infarction: Value of clinical laboratory data and race/ethnicity.
This study examined the impact of key laboratory and race/ethnicity data on the prediction of in-hospital mortality for congestive heart failure (CHF) and acute myocardial infarction (AMI). It found that adding a simple three-level summary measure based on the number of abnormal laboratory data observed to hospital administrative claims data significantly improved the model prediction for inpatient mortality.
AHRQ-funded; HS019990.
Citation: Lim E, Cheng Y, Reuschel C .
Risk-adjusted in-hospital mortality models for congestive heart failure and acute myocardial infarction: Value of clinical laboratory data and race/ethnicity.
Health Serv Res 2015 Aug;50 Suppl 1:1351-71. doi: 10.1111/1475-6773.12325..
Keywords: Heart Disease and Health, Mortality, Data, Inpatient Care
Andrews RM
AHRQ Author: Andrews RM
Statewide hospital discharge data: Collection, use, limitations, and improvements.
The purpose of the article is to provide background information on statewide hospital discharge data and the context for the other articles in this special issue of HSR that focus on the products and lessons learned by the Enhanced State Data grantees. The author provides an overview of statewide hospital discharge data, including content and coverage, and its evolution and improvement over time.
AHRQ-authored
Citation: Andrews RM .
Statewide hospital discharge data: Collection, use, limitations, and improvements.
Health Serv Res 2015 Aug;50 Suppl 1:1273-99. doi: 10.1111/1475-6773.12343..
Keywords: Healthcare Cost and Utilization Project (HCUP), Hospital Discharge, Data
Salemi JL, Salinas-Miranda AA, Wilson RE
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
The researchers describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community.
AHRQ-funded; HS019997.
Citation: Salemi JL, Salinas-Miranda AA, Wilson RE .
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
Health Serv Res 2015 Aug;50 Suppl 1:1322-38. doi: 10.1111/1475-6773.12309..
Keywords: Maternal Care, Comparative Effectiveness, Hospital Discharge, Data, Quality Improvement
Bigback KM, Hoopes M, Dankovchik J
Using record linkage to improve race data quality for American Indians and Alaska Natives in two Pacific Northwest State Hospital Discharge Databases.
This study aimed to evaluate and adjust for American Indian and Alaska Native (AI/AN) racial misclassification in two hospital discharge datasets in the Pacific Northwest. It found that in Oregon, 55.4 percent of matching records were misclassified (66.5 percent miscoded white, and 22.1 percent were missing race information). Linkage increased ascertainment of AI/AN hospitalizations by 31.8 percent in Oregon and 33.9 percent in Washington.
AHRQ-funded; HS019972.
Citation: Bigback KM, Hoopes M, Dankovchik J .
Using record linkage to improve race data quality for American Indians and Alaska Natives in two Pacific Northwest State Hospital Discharge Databases.
Health Serv Res 2015 Aug;50 Suppl 1:1390-402. doi: 10.1111/1475-6773.12331..
Keywords: Racial and Ethnic Minorities, Quality Improvement, Registries, Hospital Discharge, Data
Greenberg JK, Ladner TR, Olsen MA
Validation of an International Classification of Diseases, Ninth Revision Code algorithm for identifying Chiari Malformation type 1 surgery in adults.
The purpose of this study was to validate 2 ICD-9-CM code algorithms identifying patients undergoing CM-1 decompression surgery. It concluded that the ICD-9-CM code Algorithm 2 has excellent positive predictive value and good sensitivity to identify adult CM-1 decompression surgery.
AHRQ-funded; HS019455.
Citation: Greenberg JK, Ladner TR, Olsen MA .
Validation of an International Classification of Diseases, Ninth Revision Code algorithm for identifying Chiari Malformation type 1 surgery in adults.
Neurosurgery 2015 Aug;77(2):269-73. doi: 10.1227/neu.0000000000000778..
Keywords: Data, Diagnostic Safety and Quality, Surgery
Kim KK, Joseph JG, Ohno-Machado L
Comparison of consumers' views on electronic data sharing for healthcare and research.
The researchers surveyed California consumers to learn their views of privacy, security, and consent in electronic data sharing for healthcare and research together. They found considerable concern that health information exchanges will worsen privacy (40.3 percent) and security (42.5 percent). Consumers are in favor of electronic data sharing but elements of transparency are important: individual control, who has access, and the purpose for use of data.
AHRQ-funded; HS019913.
Citation: Kim KK, Joseph JG, Ohno-Machado L .
Comparison of consumers' views on electronic data sharing for healthcare and research.
J Am Med Inform Assoc 2015 Jul;22(4):821-30. doi: 10.1093/jamia/ocv014..
Keywords: Communication, Data, Electronic Health Records (EHRs), Health Information Exchange (HIE), Health Information Technology (HIT), Patient-Centered Healthcare
Wang HE, Donnelly JP, Shapiro NI
Hospital variations in severe sepsis mortality.
The authors characterized variations in severe sepsis mortality between hospitals in the United States. They used hospital discharge data from the University HealthSystem Consortium and found variations in institutional severe sepsis observed mortality rates and observed-to-expected mortality ratios.
AHRQ-funded; HS019465; HS013852.
Citation: Wang HE, Donnelly JP, Shapiro NI .
Hospital variations in severe sepsis mortality.
Am J Med Qual 2015 Jul-Aug;30(4):328-36. doi: 10.1177/1062860614534461.
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Keywords: Data, Hospitals, Mortality, Patient-Centered Outcomes Research, Sepsis
Pakyz AL, Patterson JA, Motzkus-Feagans C
Performance of the present-on-admission indicator for Clostridium difficile infection.
The researchers compared performance of a hospital- and community-onset Clostridium difficile infection definition using administrative data to a present on- admission indicator with definitions using clinical surveillance. For hospital-onset C. difficile infection, there was moderate sensitivity (68 percent) and high specificity (93 percent); for community-onset, sensitivity and specificity were high (both 85 percent).
AHRQ-funded; HS018578.
Citation: Pakyz AL, Patterson JA, Motzkus-Feagans C .
Performance of the present-on-admission indicator for Clostridium difficile infection.
Infect Control Hosp Epidemiol 2015 Jul;36(7):838-40. doi: 10.1017/ice.2015.63..
Keywords: Clostridium difficile Infections, Patient Safety, Healthcare-Associated Infections (HAIs), Data
Ross ME, Kreider AR, Huang YS
Propensity score methods for analyzing observational data like randomized experiments: challenges and solutions for rare outcomes and exposures.
The researchers expanded upon an approach to the analysis of observational data sets that mimics a sequence of randomized studies by implementing propensity score models within each trial to achieve covariate balance, using weighting and matching. Challenges included a rare outcome, a rare exposure, substantial and important differences between exposure groups, and a very large sample size.
AHRQ-funded; HS018550.
Citation: Ross ME, Kreider AR, Huang YS .
Propensity score methods for analyzing observational data like randomized experiments: challenges and solutions for rare outcomes and exposures.
Am J Epidemiol 2015 Jun 15;181(12):989-95. doi: 10.1093/aje/kwu469..
Keywords: Comparative Effectiveness, Data, Research Methodologies
Wysocki A, Thomas KS, Mor V
Functional improvement among short-stay nursing home residents in the MDS 3.0.
This study examined the completeness of the activities of daily living (ADL) items on admission and discharge assessments and the improvement in ADL performance among short-stay residents in the newly adopted Minimum Data Set (MDS) 3.0. It found that the ADL self-performance items are complete at both admission and discharge, with less than 1 percent missing for any item.
AHRQ-funded; HS000011.
Citation: Wysocki A, Thomas KS, Mor V .
Functional improvement among short-stay nursing home residents in the MDS 3.0.
J Am Med Dir Assoc 2015 Jun;16(6):470-4. doi: 10.1016/j.jamda.2014.11.018..
Keywords: Nursing Homes, Elderly, Data
Hirth RA, Gibson TB, Levy HG
New evidence on the persistence of health spending.
Using the MarketScan claims database, the researchers characterized the persistence of health care spending in the privately insured, under-65 population. They found that over a 6-year period,69.8 percent of enrollees never had annual spending in the top 10 percent of the distribution and the bottom 50 percent of spenders accounted for less than 10 percent of spending.
AHRQ-funded; HS017706.
Citation: Hirth RA, Gibson TB, Levy HG .
New evidence on the persistence of health spending.
Med Care Res Rev 2015 Jun;72(3):277-97. doi: 10.1177/1077558715572387..
Keywords: Healthcare Costs, Health Insurance, Data
Del Fiol G, Crouch BI, Cummins MR
Data standards to support health information exchange between poison control centers and emergency departments.
The researchers identified and assessed a set of data standards to enable a standards-based health information exchange process between emergency departments (EDs) and poison control centers (PCCs). They determined that four Consolidated Clinical Document Architecture document types were necessary to support the PCC–ED information exchange process: History & Physical Note, Consultation Note, Progress Note, and Discharge Summary.
AHRQ-funded; HS021472.
Citation: Del Fiol G, Crouch BI, Cummins MR .
Data standards to support health information exchange between poison control centers and emergency departments.
J Am Med Inform Assoc 2015 May;22(3):519-28. doi: 10.1136/amiajnl-2014-003127..
Keywords: Data, Emergency Department, Emergency Medical Services (EMS), Health Information Exchange (HIE), Health Information Technology (HIT)
Margulis AV, Palmsten K, Andrade SE
Beginning and duration of pregnancy in automated health care databases: review of estimation methods and validation results.
The authors describe methods reported in the literature to estimate the beginning or duration of pregnancy in automated health care data, and to present results of validation exercises where available. They concluded that a number of methods of varying complexity are available to estimate them. Validation studies have been performed for many of them and can serve as a guide for method selection for a particular study.
AHRQ-funded; HS018533.
Citation: Margulis AV, Palmsten K, Andrade SE .
Beginning and duration of pregnancy in automated health care databases: review of estimation methods and validation results.
Pharmacoepidemiol Drug Saf 2015 Apr;24(4):335-42. doi: 10.1002/pds.3743..
Keywords: Pregnancy, Comparative Effectiveness, Data
Brouwer ES, Moga DC, Eron JJ
Evaluating the incident user design in the HIV population: incident use versus naive?
Through linkage to a comprehensive HIV clinical cohort, the researchers aimed to quantify and describe the truly naïve patients in an incident use population identified in Medicaid administrative claims. In their sample, they found that 34 percent of the Medicaid incident users were naïve based on medical record abstraction of antiretroviral use.
AHRQ-funded; HS018731.
Citation: Brouwer ES, Moga DC, Eron JJ .
Evaluating the incident user design in the HIV population: incident use versus naive?
Pharmacoepidemiol Drug Saf 2015 Mar;24(3):297-300. doi: 10.1002/pds.3705..
Keywords: Human Immunodeficiency Virus (HIV), Research Methodologies, Comparative Effectiveness, Data, Medicaid
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
Neugebauer R, Schmittdiel JA, Zhu Z
High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
The authors described the application and performance of the hdPS algorithm to improve covariate selection in CER with time-varying interventions based on inverse probability weighting estimation and explored stabilization of the resulting estimates using Super Learning. Their evaluation was based on both the analysis of electronic health records data in a real-world CER study of adults with type 2 diabetes and a simulation study.
AHRQ-funded; 29020050016I.
Citation: Neugebauer R, Schmittdiel JA, Zhu Z .
High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
Stat Med 2015 Feb 28;34(5):753-81. doi: 10.1002/sim.6377..
Keywords: Comparative Effectiveness, Data, Research Methodologies
Li T, Vedula SS, Hadar N
Innovations in data collection, management, and archiving for systematic reviews.
The authors provide a step-by-step tutorial for collecting, managing, and archiving data for systematic reviews and suggest steps for developing rigorous data collection forms in the Systematic Review Data Repository to facilitate implementation of the methodological standards and expectations of the Institute of Medicine and other organizations.
AHRQ-funded; 290200710055I; 290201200012I.
Citation: Li T, Vedula SS, Hadar N .
Innovations in data collection, management, and archiving for systematic reviews.
Ann Intern Med. 2015 Feb 17;162(4):287-94. doi: 10.7326/M14-1603..
Keywords: Data, Comparative Effectiveness, Outcomes, Research Methodologies
Hannan EL, Qian F, Pine M
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
The purpose of this study was to determine whether the addition of laboratory data to the clinical database for coronary artery bypass graft (CABG) would identify laboratory variables that are significant independent predictors of short-term (in-hospital / 30-day) mortality. The researchers found that there was no significant difference in the discrimination of the registry model or the combined registry/laboratory model.
AHRQ-funded; HS019965.
Citation: Hannan EL, Qian F, Pine M .
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
Ann Thorac Surg 2015 Feb;99(2):495-501. doi: 10.1016/j.athoracsur.2014.08.043..
Keywords: Registries, Mortality, Risk, Surgery, Data
Manohar N, Adam TJ, Pakhomov SV
Evaluation of herbal and dietary supplement resource term coverage.
This pilot study investigated coverage of supplement databases to one another as well as coverage by the Unified Medical Language System (UMLS) and RxNorm for supplement terms. It found that none of the supplement databases completely covers supplement terms.
AHRQ-funded; HS022085.
Citation: Manohar N, Adam TJ, Pakhomov SV .
Evaluation of herbal and dietary supplement resource term coverage.
Stud Health Technol Inform 2015;216:785-9..
Keywords: Health Information Technology (HIT), Vitamins and Supplements, Data
Bakken SN, Hill JN, Guihan M
Factors influencing consent for electronic data linkage in urban Latinos.
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
AHRQ-funded; HS022961.
Citation: Bakken SN, Hill JN, Guihan M .
Factors influencing consent for electronic data linkage in urban Latinos.
Stud Health Technol Inform 2015;216:984..
Keywords: Racial and Ethnic Minorities, Health Information Technology (HIT), Electronic Health Records (EHRs), Data, Racial and Ethnic Minorities
Shenvi EC, Meeker D, Boxwala AA
Understanding data requirements of retrospective studies.
This study seeks to characterize the types and patterns of data usage from EHRs for clinical research. It found that studies used an average of 4.46 (range 1–12) data element types in the selection criteria and 6.44 (range 1–15) in the study variables. The most frequently used items (e.g., procedure, condition, medication) are often available in coded form in EHRs.
AHRQ-funded; HS019913.
Citation: Shenvi EC, Meeker D, Boxwala AA .
Understanding data requirements of retrospective studies.
Int J Med Inform 2015 Jan;84(1):76-84. doi: 10.1016/j.ijmedinf.2014.10.004..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Data, Healthcare Delivery
Kozlowski SWJ, Chao GT, Chang C-H
https://www.routledge.com/Big-Data-at-Work-The-Data-Science-Revolution-and-Organizational-Psychology/Tonidandel-King-Cortina/p/book/9781848725829
Using big data to advance the science of team effectiveness.
The authors discuss the longstanding treatment of team processes as static constructs rather than as dynamic processes per se. They then highlight research design issues that need to be considered in any effort to directly observe, assess, and capture teamwork process dynamics. Finally, they explain how researchers can directly assess and capture team process dynamics using illustrations from three ongoing projects.
AHRQ-funded; HS020295; HS022458.
Citation: Kozlowski SWJ, Chao GT, Chang C-H .
Using big data to advance the science of team effectiveness.
In: Tonidandel S, King E, Cortina J, editors. Big Data at Work: The Data Science Revolution and Organizational Psychology. New York: Routledge; 2015. p. 272-309, chapter 10..
Keywords: Teams, Research Methodologies, Data
Panahiazar M, Taslimitehrani V, Pereira N
Using EHRs and machine learning for heart failure survival analysis.
This study assessed the performance of the Seattle Heart Failure Model using EHRs at Mayo Clinic, and sought to develop a risk prediction model using machine learning techniques that applied routine clinical care data. Its results showed the models which were built using EHR data are more accurate (11 percent improvement in AUC) with the convenience of being more readily applicable in routine clinical care.
AHRQ-funded; HS023077.
Citation: Panahiazar M, Taslimitehrani V, Pereira N .
Using EHRs and machine learning for heart failure survival analysis.
Stud Health Technol Inform 2015;216:40-4..
Keywords: Electronic Health Records (EHRs), Heart Disease and Health, Risk, Data