National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Access to Care (1)
- Asthma (1)
- Behavioral Health (3)
- Cancer (8)
- Cancer: Breast Cancer (2)
- Cancer: Colorectal Cancer (1)
- Cancer: Lung Cancer (1)
- Cardiovascular Conditions (3)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Children/Adolescents (4)
- Chronic Conditions (1)
- Colonoscopy (1)
- Communication (1)
- Comparative Effectiveness (11)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (1)
- Data (17)
- Decision Making (4)
- Depression (2)
- Diabetes (2)
- Diagnostic Safety and Quality (1)
- Education: Continuing Medical Education (1)
- Education: Patient and Caregiver (1)
- Elderly (1)
- Electronic Health Records (EHRs) (1)
- Emergency Department (2)
- Evidence-Based Practice (35)
- Genetics (2)
- Guidelines (9)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Costs (3)
- Healthcare Delivery (3)
- Health Information Exchange (HIE) (1)
- Health Information Technology (HIT) (3)
- Health Insurance (1)
- Health Services Research (HSR) (19)
- Heart Disease and Health (1)
- Hospitals (2)
- Implementation (1)
- Infectious Diseases (2)
- Learning Health Systems (1)
- Low-Income (1)
- Maternal Care (2)
- Medical Expenditure Panel Survey (MEPS) (1)
- Medicare (1)
- Medication (6)
- Mortality (2)
- Neonatal Intensive Care Unit (NICU) (1)
- Outcomes (4)
- Patient-Centered Healthcare (4)
- Patient-Centered Outcomes Research (20)
- Patient Adherence/Compliance (2)
- Patient and Family Engagement (2)
- Patient Experience (1)
- Patient Safety (3)
- Policy (1)
- Practice-Based Research Network (PBRN) (1)
- Pregnancy (2)
- Prevention (3)
- Primary Care (1)
- Primary Care: Models of Care (1)
- Quality Improvement (1)
- Quality Indicators (QIs) (1)
- Quality Measures (1)
- Quality of Care (2)
- Racial and Ethnic Minorities (1)
- Registries (3)
- (-) Research Methodologies (99)
- Respiratory Conditions (1)
- Risk (3)
- Social Determinants of Health (3)
- Social Media (2)
- Surgery (1)
- Training (2)
- Treatments (2)
- U.S. Preventive Services Task Force (USPSTF) (2)
- Vaccination (1)
- Women (2)
- Young Adults (2)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 99 Research Studies DisplayedNorton WE, Zwarenstein M, Czajkowski S
AHRQ Author: Kato E
Building internal capacity in pragmatic trials: a workshop for program scientists at the US National Cancer Institute.
This article describes a workshop put together by the authors for program scientists at the National Cancer Institute (NCI) to help them become better researchers and stewards of research funds. The workshop got good reviews from the attendees and many felt it will help them develop funding opportunities and advise grantees.
AHRQ-authored.
Citation: Norton WE, Zwarenstein M, Czajkowski S .
Building internal capacity in pragmatic trials: a workshop for program scientists at the US National Cancer Institute.
Trials 2019 Dec 27;20(1):779. doi: 10.1186/s13063-019-3934-y..
Keywords: Research Methodologies, Health Services Research (HSR), Cancer, Healthcare Delivery
Kuhn J, Sheldrick RC, Broder-Fingert S
Simulation and minimization: technical advances for factorial experiments designed to optimize clinical interventions.
This study examined the best way to maximize the Multiphase Optimization Strategy (MOST) which is designed to maximize the impact of clinical healthcare interventions. Computer simulations were run to empirically test five subject allocation procedures. Simple and stratified randomization performed the poorest; while maximum tolerated imbalance, minimal sufficient balance, and minimization were more successful in achieving balanced sample sizes and equivalence across a large number of covariates. Minimization was recommended for further research studies.
AHRQ-funded; 2T32HS022242.
Citation: Kuhn J, Sheldrick RC, Broder-Fingert S .
Simulation and minimization: technical advances for factorial experiments designed to optimize clinical interventions.
BMC Med Res Methodol 2019 Dec 16;19(1):239. doi: 10.1186/s12874-019-0883-9..
Keywords: Research Methodologies
Predmore Z, Hatef E, Weiner JP
Integrating social and behavioral determinants of health into population health analytics: a conceptual framework and suggested road map.
There is growing recognition that social and behavioral risk factors impact population health outcomes. Interventions that target these risk factors can improve health outcomes. This study presents a review of existing literature and proposes a conceptual framework for the integration of social and behavioral data into population health analytics platforms. The authors describe several use cases for these platforms at the patient, health system, and community levels, and align these use cases with the different types of prevention identified by the Centers for Disease Control and Prevention.
AHRQ-funded; HS000029.
Citation: Predmore Z, Hatef E, Weiner JP .
Integrating social and behavioral determinants of health into population health analytics: a conceptual framework and suggested road map.
Popul Health Manag 2019 Dec;22(6):488-94. doi: 10.1089/pop.2018.0151..
Keywords: Social Determinants of Health, Risk, Research Methodologies
Krist AH, Davidson KW, Ngo-Metzger Q
AHRQ Author: Ngo-Metzger Q, Mills J
Social determinants as a preventive service: U.S. Preventive Services Task Force methods considerations for research.
The authors offer a brief review of the social determinants of health that may be germane to the USPSTF, the methods the USPSTF uses to evaluate relevant evidence, and current evidence gaps for social risks. Their road map for research is intended to spark ingenuity and purpose in the next generation of research studies, thereby ensuring that future recommendations to address and prevent social risks in primary care are informed by high-quality evidence.
AHRQ-authored; AHRQ-funded; HS026664.
Citation: Krist AH, Davidson KW, Ngo-Metzger Q .
Social determinants as a preventive service: U.S. Preventive Services Task Force methods considerations for research.
Am J Prev Med 2019 Dec;57(6s1):S6-s12. doi: 10.1016/j.amepre.2019.07.013..
Keywords: U.S. Preventive Services Task Force (USPSTF), Social Determinants of Health, Research Methodologies, Evidence-Based Practice, Prevention
Saldanha IJ, Smith BT, Ntzani E
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research.
Funded by the US Agency for Healthcare Research and Quality (AHRQ), the Systematic Review Data Repository (SRDR) is a free, web-based, open-source, data management and archival platform for reviews. The objectives of this study were to describe (1) the current extent of usage of SRDR and (2) the characteristics of all projects with publicly available data on the SRDR website.
AHRQ-funded; HHSA290201500002I_HHSA29032012T.
Citation: Saldanha IJ, Smith BT, Ntzani E .
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research.
Syst Rev 2019 Dec 20;8(1):334. doi: 10.1186/s13643-019-1250-y..
Keywords: Evidence-Based Practice, Data, Research Methodologies, Registries
Broder-Fingert S, Kuhn J, Sheldrick RC
Using the Multiphase Optimization Strategy (MOST) framework to test intervention delivery strategies: a study protocol.
Researchers describe a study protocol for a large randomized controlled trial using the Multiphase Optimization Strategy (MOST), a novel framework developed to optimize interventions. They apply this framework to delivery of Family Navigation (FN), an evidence-based care management strategy designed to reduce disparities and improve access to behavioral health services, and test four components related to its implementation. In this paper, they describe how the MOST framework can be used to improve intervention delivery. These methods will be useful for future studies testing intervention delivery strategies and their impact on implementation.
AHRQ-funded; HS022242.
Citation: Broder-Fingert S, Kuhn J, Sheldrick RC .
Using the Multiphase Optimization Strategy (MOST) framework to test intervention delivery strategies: a study protocol.
Trials 2019 Dec 16;20(1):728. doi: 10.1186/s13063-019-3853-y..
Keywords: Research Methodologies, Health Services Research (HSR), Healthcare Delivery, Behavioral Health, Evidence-Based Practice, Access to Care
Gates A, Guitard S, Pillay J
Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools.
Researchers explored the performance of three machine learning tools designed to facilitate title and abstract screening in systematic reviews (SRs) when used to eliminate irrelevant records and complement the work of a single reviewer. Using Abstrackr, DistillerSR, and RobotAnalyst, they found that the workload savings afforded in the automated simulation came with increased risk of missing relevant records. Supplementing a single reviewer's decisions with relevance predictions sometimes reduced the proportion missed, but performance varied by tool and SR. They recommend designing tools based on reviewers' self-identified preferences to improve compatibility with present workflows.
AHRQ-funded; 290201500001I.
Citation: Gates A, Guitard S, Pillay J .
Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools.
Syst Rev 2019 Nov 15;8(1):278. doi: 10.1186/s13643-019-1222-2..
Keywords: Patient-Centered Outcomes Research, Health Services Research (HSR), Research Methodologies, Evidence-Based Practice, Comparative Effectiveness
Cai Y, Huang J, Ning J
Two-sample test for correlated data under outcome-dependent sampling with an application to self-reported weight loss data.
This research conducted simulation studies to evaluate a proposed score test to eliminate type I errors when applied to longitudinal or clustered data. The proposed score test’s purpose is to capture differences in the mean and variance between two groups simultaneously. The simulation used was to compare self-reported weight loss data in a friends’ referral group.
AHRQ-funded; HS022900.
Citation: Cai Y, Huang J, Ning J .
Two-sample test for correlated data under outcome-dependent sampling with an application to self-reported weight loss data.
Stat Med 2019 Nov 10;38(25):4999-5009. doi: 10.1002/sim.8346..
Keywords: Research Methodologies
Lin L
Graphical augmentations to sample-size-based funnel plot in meta-analysis.
In this article, the authors introduce contours for sample-size-based funnel plots of various effect sizes, which may help meta-analysts properly interpret such plots' asymmetry. Five examples are provided to illustrate the use of the proposed contours.
AHRQ-funded; HS024743.
Citation: Lin L .
Graphical augmentations to sample-size-based funnel plot in meta-analysis.
Res Synth Methods 2019 Sep;10(3):376-88. doi: 10.1002/jrsm.1340..
Keywords: Research Methodologies
Gartlehner G, Wagner G, Lux L
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study.
The goal of this project was to conduct a case study to explore a screening approach that temporarily replaces a human screener with a semi-automated screening tool. The authors used DistillerAI as a semi-automated screening tool, and a published comparative effectiveness review served as their reference standard. They found that the accuracy of DistillerAI was not yet adequate to replace a human screener temporarily during abstract screening for systematic reviews.
AHRQ-funded; 290201500011I.
Citation: Gartlehner G, Wagner G, Lux L .
Assessing the accuracy of machine-assisted abstract screening with DistillerAI: a user study.
Syst Rev 2019 Nov 15;8(1):277. doi: 10.1186/s13643-019-1221-3..
Keywords: Patient-Centered Outcomes Research, Health Services Research (HSR), Research Methodologies, Evidence-Based Practice
Boudreaux M, Gangopadhyaya A, Long SK
AHRQ Author: Karaca Z
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Investigators describe the opportunities and challenges of using HCUP data to conduct state health policy research and to provide empirical examples of what can go wrong when using the national HCUP data inappropriately. Analyzing cesarean delivery rates, discharges per capita, and discharges by the payer, they found that state-level estimates are volatile and often provide misleading policy conclusions. They conclude that the Nationwide Inpatient Sample should not be used for state-level research and specified that AHRQ provides resources to assist analysts with state-specific studies using State Inpatient Database files.
AHRQ-authored.
Citation: Boudreaux M, Gangopadhyaya A, Long SK .
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Med Care 2019 Nov;57(11):855-60. doi: 10.1097/mlr.0000000000001196..
Keywords: Healthcare Cost and Utilization Project (HCUP), Policy, Health Services Research (HSR), Healthcare Costs, Data, Research Methodologies
Vanderlaan J, Dunlop A, Rochat R
Methodology for sampling women at high maternal risk in administrative data.
This study compared the net benefits of using the Obstetric Comorbidity Index (OCI) to identify women at high maternal risk compared to conventional risk identification methods. Hospitalization discharge and vital records data for women experience singleton births in George from 2008 to 2012 was used. Results found there was a small but positive net benefit in using the OCI and conventional risk identification methods actually performed worse than using no risk identification methods at all. The researchers suggest that using OCI helps reduce misclassification.
AHRQ-funded; HS024655.
Citation: Vanderlaan J, Dunlop A, Rochat R .
Methodology for sampling women at high maternal risk in administrative data.
BMC Pregnancy Childbirth 2019 Oct 21;19(1):364. doi: 10.1186/s12884-019-2500-7..
Keywords: Research Methodologies, Health Services Research (HSR), Pregnancy, Maternal Care, Risk, Women
Kunst NR, Alarid-Escudero F, Paltiel AD
A value of information analysis of research on the 21-gene assay for breast cancer management.
The authors aimed to quantify the value of conducting further research to reduce decision uncertainty in the use of the 21-gene assay Oncotype DX (21-GA). They found that current evidence strongly supports the use of the 21-GA in intermediate- and high-risk women and recommended that further research focus on low-risk women.
AHRQ-funded; HS023900.
Citation: Kunst NR, Alarid-Escudero F, Paltiel AD .
A value of information analysis of research on the 21-gene assay for breast cancer management.
Value Health 2019 Oct;22(10):1102-10. doi: 10.1016/j.jval.2019.05.004..
Keywords: Genetics, Cancer: Breast Cancer, Cancer, Decision Making, Research Methodologies
Everson J, Hollingsworth JM, Adler-Milstein J
Comparing methods of grouping hospitals.
The purpose of this study was to compare the performance of widely used approaches for defining groups of hospitals and a new approach based on network analysis of shared patient volume. Results showed that community detection algorithm-defined hospital groups offer high validity, reliability to different specifications, and generalizability to many uses when compared to approaches in widespread use today. They may offer a better choice for efforts seeking to analyze the behaviors and dynamics of groups of hospitals. Measures of modularity, shared information, inclusivity, and shared behavior can be used to evaluate different approaches to grouping providers.
AHRQ-funded; HS024525; HS024728; HS024454.
Citation: Everson J, Hollingsworth JM, Adler-Milstein J .
Comparing methods of grouping hospitals.
Health Serv Res 2019 Oct;54(5):1090-98. doi: 10.1111/1475-6773.13188..
Keywords: Health Services Research (HSR), Hospitals, Research Methodologies
Wang L, Rouse B, Marks-Anglin A
Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations.
The purpose of this study was to test rapid approaches that use Drugs@FDA (a public database of approved drugs) and ClinicalTrials.gov to identify trials and to compare these two sources with bibliographic databases as an evidence base for a systematic review and network meta-analysis (NMA). The investigators concluded that a rapid NMA approach using data from Drugs@FDA was feasible but had its own limitations. They asserted that reporting of trial design and results can be improved in both the drug approval packages and on ClinicalTrials.gov.
AHRQ-funded; HS024788.
Citation: Wang L, Rouse B, Marks-Anglin A .
Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations.
J Clin Epidemiol 2019 Oct;114:84-94. doi: 10.1016/j.jclinepi.2019.06.010..
Keywords: Medication, Research Methodologies, Evidence-Based Practice
Hargraves JL, Cosenza C, Elliott MN, et al.
The effect of different sampling and recall periods in the CAHPS Clinician & Group (CG-CAHPS) survey.
Researchers examined the effect of changing the sampling and reference periods for the CAHPS((R)) Clinician & Group Survey from 12 to 6 months. They found that shortening the reference reduced the proportion of respondents reporting a blood test, X-ray, or other tests, and the most positive response was selected more often on the 6-month survey for 12 out of 13 questions. They concluded that surveys using a 6-month recall period may yield slightly higher scores than surveys with a 12-month recall period.
AHRQ-funded; HS016978.
Citation: Hargraves JL, Cosenza C, Elliott MN, et al..
The effect of different sampling and recall periods in the CAHPS Clinician & Group (CG-CAHPS) survey.
Health Serv Res 2019 Oct;54(5):1036-44. doi: 10.1111/1475-6773.13173..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Patient Experience, Quality of Care, Research Methodologies
Merritt C, Dietrich AM, Bogie AL
2018 Academic Emergency Medicine Consensus Conference: A Workforce Development Research Agenda for Pediatric Care in the Emergency Department.
Although the number of pediatric emergency medicine specialists continues to rise, the vast majority of children are cared for in general EDs outside of children's hospitals by a diverse workforce of care providers who must possess the knowledge, experience, skills, and systemic support necessary to deliver excellent pediatric emergency care. There is a crucial need to understand the factors that drive the professional development and support systems of this diverse workforce. In this paper the investigators identified five key research themes and prioritized a specific research agenda.
AHRQ-funded; HS026101.
Citation: Merritt C, Dietrich AM, Bogie AL .
2018 Academic Emergency Medicine Consensus Conference: A Workforce Development Research Agenda for Pediatric Care in the Emergency Department.
Acad Emerg Med 2019 Sep;26(9):1063-73. doi: 10.1111/acem.13638..
Keywords: Emergency Department, Research Methodologies, Children/Adolescents
Zhou J, Hodges JS, Suri MFK
A Bayesian hierarchical model estimating CACE in meta-analysis of randomized clinical trials with noncompliance.
Noncompliance to assigned treatment is a common challenge in analysis and interpretation of randomized clinical trials. The complier average causal effect (CACE) approach provides a useful tool for addressing noncompliance, where CACE is defined as the average difference in potential outcomes for the response in the subpopulation of subjects who comply with their assigned treatments. In this article, the investigators present a Bayesian hierarchical model to estimate the CACE in a meta-analysis of randomized clinical trials where compliance may be heterogeneous between studies.
AHRQ-funded; HS024743.
Citation: Zhou J, Hodges JS, Suri MFK .
A Bayesian hierarchical model estimating CACE in meta-analysis of randomized clinical trials with noncompliance.
Biometrics 2019 Sep;75(3):978-87. doi: 10.1111/biom.13028..
Keywords: Patient Adherence/Compliance, Research Methodologies
Ivlev I, Vander Ley KJ, Wiedrick J
Training patients to review scientific reports for the Patient-Centered Outcomes Research Institute: an observational study.
This observational study aimed to evaluate the effect of new training for patient peer reviewers of scientific reports for the Patient-Centered Outcomes Research Institute (PCORI). A new online training in peer review was used to help change reviewers’ knowledge and skills and change self-efficacy and attitudes. Reviewers improved their answers to the knowledge questions. Median numbers of answers improved after the training, particularly in questions targeting the specifics of PCORI peer review. It modestly increased reviewers’ confidence in completing a high-quality peer review. Their excitement about providing a review slightly increased. All reviewers were satisfied with the training.
AHRQ-funded; HS026370.
Citation: Ivlev I, Vander Ley KJ, Wiedrick J .
Training patients to review scientific reports for the Patient-Centered Outcomes Research Institute: an observational study.
BMJ Open 2019 Sep;9(9):e028732. doi: 10.1136/bmjopen-2018-028732..
Keywords: Patient-Centered Outcomes Research, Evidence-Based Practice, Research Methodologies, Patient and Family Engagement, Education: Patient and Caregiver, Training
Han D, Liu L, Su X
Variable selection for random effects two-part models.
This paper discusses ways to facilitate satisfactory variable selection for longitudinal studies with random effects two-part models. The authors propose a minimum information criterion (MIC) method. They demonstrated that MIC formulation leads to a reasonable formulation of sparse estimation. An application to a longitudinal alcohol dependence study is provided.
AHRQ-funded; HS020263.
Citation: Han D, Liu L, Su X .
Variable selection for random effects two-part models.
Stat Methods Med Res 2019 Sep;28(9):2697-709. doi: 10.1177/0962280218784712..
Keywords: Research Methodologies
Li F, Yang PY, Kang H
Examining reproducibility of literature search in meta-analysis.
Meta-analysis, a systematic retrieval from literature databases is an essential and prevailing method for combining data from multiple studies. Unfortunately, few studies have examined its rigor, which affects its reproducibility of results. In this article, the investigators identified 22 meta-analyses on cervical cancer in PubMed for examining the parameters defined by PRISMA, relating to the rigor of literature retrieval.
AHRQ-funded; HS022895.
Citation: Li F, Yang PY, Kang H .
Examining reproducibility of literature search in meta-analysis.
Stud Health Technol Inform 2019 Aug 21;264:228-32. doi: 10.3233/shti190217..
Keywords: Research Methodologies
Lewis VA, Joynet Maddox K, Austin AM
Developing and validating a measure to estimate poverty in Medicare administrative data.
The purpose of this study was to develop and validate a measure that estimates individual level poverty in Medicare administrative data that can be used in studies of Medicare claims. The investigators indicate that a poverty score can be calculated using Medicare administrative data for use as a continuous or binary measure and that this measure can improve researchers' ability to identify poverty in Medicare administrative data.
AHRQ-funded; HS024075.
Citation: Lewis VA, Joynet Maddox K, Austin AM .
Developing and validating a measure to estimate poverty in Medicare administrative data.
Med Care 2019 Aug;57(8):601-07. doi: 10.1097/mlr.0000000000001154..
Keywords: Medicare, Data, Low-Income, Research Methodologies
Fanaroff AC, Vora AN, Chen AY
Hospital participation in clinical trials for patients with acute myocardial infarction: results from the National Cardiovascular Data Registry.
Using the nationwide Chest Pain-MI registry, the authors described the proportion of hospitals that enrolled patients with acute myocardial infarction (MI) in clinical trials from 2009 to 2014. They concluded that hospitals are becoming less likely to engage in clinical trials for patients with MI, and that patients admitted to hospitals that participated in clinical trials more often received guideline-adherent care and had better long-term outcomes.
AHRQ-funded; HS021092.
Citation: Fanaroff AC, Vora AN, Chen AY .
Hospital participation in clinical trials for patients with acute myocardial infarction: results from the National Cardiovascular Data Registry.
Am Heart J 2019 Aug;214:184-93. doi: 10.1016/j.ahj.2019.05.011..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Registries, Research Methodologies
Hochheimer CJ, Sabo RT, Perera RA
Identifying attrition phases in survey data: applicability and assessment study.
This study proposed the application of and assessed the use of user-specified and existing hypothesis testing methods in a novel setting--survey dropout data--to identify phases of higher or lower survey dropout. Results showed that the user-specified method set to a low threshold correctly identified the attrition phases, while hypothesis testing methods were unable to accurately identify the attrition phases. These results strengthen the case for further development of and research surrounding the science of attrition.`
AHRQ-funded; HS017046.
Citation: Hochheimer CJ, Sabo RT, Perera RA .
Identifying attrition phases in survey data: applicability and assessment study.
J Med Internet Res 2019 Aug 23;21(8):e12811. doi: 10.2196/12811..
Keywords: Research Methodologies
Hill SC, Solomon KT, Maclean JC
AHRQ Author: Hill SC
Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.
The authors sought to measure the effects of questionnaire and imputation improvements in the Current Population Survey (CPS) on the estimated prevalence of high medical financial burden. They found that the estimated prevalence increased among nonelderly adults with private insurance, decreased among nonelderly adults with public coverage, and decreased among elderly adults with Medicare and no private coverage. The authors concluded that improvements in the CPS changed the estimated prevalence of high medical financial burden among key subgroups, and they recommended that researchers use caution when tracking burden across the time-period in which these improvements were implemented.
AHRQ-authored.
Citation: Hill SC, Solomon KT, Maclean JC .
Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.
Health Serv Res 2019 Aug;54(4):920-29. doi: 10.1111/1475-6773.13158..
Keywords: Health Insurance, Healthcare Costs, Research Methodologies