National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Chronic Conditions (1)
- Comparative Effectiveness (1)
- Dementia (1)
- Diabetes (2)
- Diagnostic Safety and Quality (2)
- Digestive Disease and Health (1)
- Education: Patient and Caregiver (1)
- Elderly (2)
- Electronic Health Records (EHRs) (1)
- Evidence-Based Practice (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (2)
- Long-Term Care (2)
- Medical Errors (2)
- Medicare (1)
- Medication (1)
- Nursing Homes (2)
- Outcomes (1)
- Palliative Care (2)
- Patient-Centered Healthcare (1)
- Patient Adherence/Compliance (1)
- Patient Safety (3)
- Primary Care (2)
- Provider Performance (1)
- Public Reporting (2)
- Quality Improvement (2)
- Quality Indicators (QIs) (2)
- (-) Quality Measures (14)
- Quality of Care (6)
- Research Methodologies (1)
- Web-Based (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 14 of 14 Research Studies DisplayedBerkman ND, Lohr KN, Ansari MT, et al.
AHRQ Author: Chang S
Grading the strength of a body of evidence when assessing health care interventions: an EPC update.
The purpose of this article is to revise the 2010 guidance on grading the strength of evidence (SOE) of the effectiveness of drugs, devices, and other preventive and therapeutic interventions produced by AHRQ’s Evidence-based Practice Center program. It concluded that no single approach for grading SOE suits all reviews, but a more consistent and transparent approach to reporting summary information will make reviews more useful.
AHRQ authored; AHRQ-funded 290200710056I
Citation: Berkman ND, Lohr KN, Ansari MT, et al..
Grading the strength of a body of evidence when assessing health care interventions: an EPC update.
J Clin Epidemiol. 2015 Nov;68(11):1312-24. doi: 10.1016/j.jclinepi.2014.11.023..
Keywords: Comparative Effectiveness, Evidence-Based Practice, Research Methodologies, Quality Measures
Kamal AH, Kavalieratos D, Bull J
Usability and acceptability of the QDACT-PC, an electronic point-of-care system for standardized quality monitoring in palliative care.
The researchers performed usability testing of the Quality Data Collection Tool for Palliative Care (QDACT-PC), a novel, point-of-care quality monitoring tool for palliative care. They found that testing the QDACT-PC reveals equivalence with paper for data collection time, but with less burden overall for electronic methods across other domains of usability.
AHRQ-funded; HS022989.
Citation: Kamal AH, Kavalieratos D, Bull J .
Usability and acceptability of the QDACT-PC, an electronic point-of-care system for standardized quality monitoring in palliative care.
J Pain Symptom Manage 2015 Nov;50(5):615-21. doi: 10.1016/j.jpainsymman.2015.05.013.
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Keywords: Healthcare Delivery, Quality of Care, Palliative Care, Patient-Centered Healthcare, Quality Measures
Ahmed S, Siegel CA, Melmed GY
Implementing quality measures for inflammatory bowel disease.
The author argues that implementation of quality measures may depend on the care setting and whether quality measurement and improvement can be incorporated into workflows and electronic medical records. He also asserts that collaborative networks, utilization of care pathways, and standardized treatment algorithms may represent avenues for wide-scale implementation of quality improvement.
AHRQ-funded; HS021747.
Citation: Ahmed S, Siegel CA, Melmed GY .
Implementing quality measures for inflammatory bowel disease.
Curr Gastroenterol Rep 2015 Apr;17(4):14. doi: 10.1007/s11894-015-0437-1..
Keywords: Quality Measures, Quality of Care, Quality Improvement, Electronic Health Records (EHRs), Health Information Technology (HIT)
Litvin CB, Ornstein SM, Wessell AM
"Meaningful" clinical quality measures for primary care physicians.
The authors systematically solicited recommendations from Meaningful Use (MU) exemplars to inform Stage 3 MU clinical quality measure (CQM) requirements. There was consensus that CQMs should be evidence-based and focus on high-priority conditions relevant to primary care providers. Participants thought the emphasis of CQMs should largely be on outcomes and that reporting of CQMs should limit the burden on providers.
AHRQ-funded; HS022701; HS018984.
Citation: Litvin CB, Ornstein SM, Wessell AM .
"Meaningful" clinical quality measures for primary care physicians.
Am J Manag Care 2015 Oct;21(10):e583-90..
Keywords: Quality Indicators (QIs), Quality Measures, Primary Care, Quality of Care
Konetzka RT, Brauner DJ, Coca Perraillon M
The role of severe dementia in nursing home report cards.
This article examined the intended and unintended effects of quality reporting for nursing home residents with severe dementia relative to other residents, using a difference-in-differences design to examine selected reported and unreported quality measures. The results indicate that prior to public reporting, nursing home residents with severe dementia were at significantly higher risk of poor outcomes on most reported quality measures.
AHRQ-funded; HS018718.
Citation: Konetzka RT, Brauner DJ, Coca Perraillon M .
The role of severe dementia in nursing home report cards.
Med Care Res Rev 2015 Oct;72(5):562-79. doi: 10.1177/1077558715588436.
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Keywords: Dementia, Nursing Homes, Long-Term Care, Quality Measures
Johnson SL, Bartels CM, Palta M
Biological and steroid use in relationship to quality measures in older patients with inflammatory bowel disease: a US Medicare cohort study.
The researchers examined the frequency and predictors of antitumour necrosis factor (TNF) use, among US patients with inflammatory bowel disease (IBD) aged 65 years and older prior to the publication of a new Medicare quality measure calling for the use of anti-TNFs and other steroid-sparing agents. They found that anti-TNF use was very low in this population of older patients with IBD.
AHRQ-funded; HS022786.
Citation: Johnson SL, Bartels CM, Palta M .
Biological and steroid use in relationship to quality measures in older patients with inflammatory bowel disease: a US Medicare cohort study.
BMJ Open 2015 Sep 07;5(9):e008597. doi: 10.1136/bmjopen-2015-008597.
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Keywords: Elderly, Digestive Disease and Health, Medication, Quality Measures
Cassel CK, Kronick R
AHRQ Author: Kronick R
Learning from the past to measure the future.
The authors argue that paying for value will not work unless it can be measured. The ability to assess health care quality and health outcomes has significantly improved over the past several decades, and there are good examples in specific organizations or clinical areas.
AHRQ-authored.
Citation: Cassel CK, Kronick R .
Learning from the past to measure the future.
JAMA 2015 Sep;314(9):875-6. doi: 10.1001/jama.2015.9186..
Keywords: Quality of Care, Quality Measures, Outcomes
Mukamel DB, Ye Z, Glance LG
Does mandating nursing home participation in quality reporting make a difference? Evidence from Massachusetts.
This study investigated one of the mechanisms that may detract from the effectiveness of quality report cards: voluntary versus mandatory participation of nursing homes in public quality reporting. It found that once reporting became mandatory, nonvolunteers improved more than volunteers in all but 2 staffing measures.
AHRQ-funded; HS021844.
Citation: Mukamel DB, Ye Z, Glance LG .
Does mandating nursing home participation in quality reporting make a difference? Evidence from Massachusetts.
Med Care 2015 Aug;53(8):713-9. doi: 10.1097/mlr.0000000000000390..
Keywords: Nursing Homes, Long-Term Care, Public Reporting, Provider Performance, Quality Improvement, Quality of Care, Quality Indicators (QIs), Quality Measures, Elderly
Singh H, Sittig DF
Setting the record straight on measuring diagnostic errors. Reply to: 'Bad assumptions on primary care diagnostic errors' by Dr Richard Young.
This letter responds to a letter by Dr. Richard Young who criticizes Singh’s article on measuring diagnostic error. Singh defends his systems-based approach to advancing the science of measuring diagnostic error and acknowledges some of the uncertainties and evolution in the diagnostic process that Dr. Young writes about.
AHRQ-funded; HS022087
Citation: Singh H, Sittig DF .
Setting the record straight on measuring diagnostic errors. Reply to: 'Bad assumptions on primary care diagnostic errors' by Dr Richard Young.
BMJ Qual Saf. 2015 May;24(5):345-8. doi: 10.1136/bmjqs-2015-004140..
Keywords: Diagnostic Safety and Quality, Medical Errors, Patient Safety, Primary Care, Quality Measures
Kamal AH
Signposts along the journey toward high-quality palliative care: the value of measuring what matters.
The author of this letter discusses the rationale behind and the usefulness of the group of palliative care measures that were chosen through the deliberations of a Technical Advisory Panel, a Clinical User Panel, and public comment. He states that the 10 measures chosen represent important signposts along the journey toward high quality palliative care and that this is the first iteration of this effort, with updates planned.
AHRQ-funded; HS022763.
Citation: Kamal AH .
Signposts along the journey toward high-quality palliative care: the value of measuring what matters.
J Pain Symptom Manage 2015 May;49(5):e1-2. doi: 10.1016/j.jpainsymman.2015.03.002..
Keywords: Palliative Care, Quality of Care, Patient Safety, Quality Measures
Bardach NS, Hibbard JH, Greaves F
Sources of traffic and visitors' preferences regarding online public reports of quality: web analytics and online survey results.
Online public reports of quality exist, but little is known about how visitors find reports or about their purpose in visiting. To address this gap,the researchers gathered website analytics data from a national group of online public reports of hospital or physician quality and surveyed real-time visitors to those websites. They found that consumers were frequently interested in using the information to choose providers or assess the quality of their provider.
AHRQ-funded; 290200600023I.
Citation: Bardach NS, Hibbard JH, Greaves F .
Sources of traffic and visitors' preferences regarding online public reports of quality: web analytics and online survey results.
J Med Internet Res 2015 May;17(5):e102. doi: 10.2196/jmir.3637.
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Keywords: Web-Based, Public Reporting, Quality Measures, Education: Patient and Caregiver
Schmittdiel JA, Nichols GA, Dyer W
Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.
The researchers examined the association of Medicare STAR adherence metrics with system-wide factors for patients with diabetes. They found that the strongest predictor of achieving STAR-defined medication adherence for patients with diabetes was a greater days’ supply of medications. Other important factors were use of a mail order pharmacy, lower copayments and lower annual individual out-of-pocket maximums.
AHRQ-funded; HS019859
Citation: Schmittdiel JA, Nichols GA, Dyer W .
Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.
Med Care. 2015 Apr;53(4):332-7. doi: 10.1097/mlr.0000000000000328..
Keywords: Medicare, Diabetes, Patient Adherence/Compliance, Quality Measures
Magnan EM, Palta M, Johnson HM
The impact of a patient's concordant and discordant chronic conditions on diabetes care quality measures.
The researchers sought to determine the impact of the number of concordant and discordant chronic conditions on diabetes care quality. Their findings suggest that the patients most at risk for suboptimal diabetes care are the patients with the fewest comorbidities, especially the fewest concordant comorbidities.
AHRQ-funded; HS018368; HS021899.
Citation: Magnan EM, Palta M, Johnson HM .
The impact of a patient's concordant and discordant chronic conditions on diabetes care quality measures.
J Diabetes Complications 2015 Mar;29(2):288-94. doi: 10.1016/j.jdiacomp.2014.10.003..
Keywords: Quality Measures, Diabetes, Chronic Conditions
Singh H, Sittig DF
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
The authors developed a multifaceted framework to advance the science of measuring diagnostic errors (The Safer Dx framework). They described how their framework serves as a conceptual foundation for system-wide safety measurement, monitoring, and improvement of diagnostic error. They posited that the Safer Dx framework can be used by a variety of stakeholders including researchers, clinicians, health care organizations, and policymakers, to stimulate both retrospective and more proactive measurement of diagnostic errors.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
BMJ Qual Saf 2015 Feb;24(2):103-10. doi: 10.1136/bmjqs-2014-003675.
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Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Medical Errors, Patient Safety, Quality Measures