National Healthcare Quality and Disparities Report
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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
126 to 138 of 138 Research Studies DisplayedBevans KB, Moon J, Carle AC
Patient reported outcomes as indicators of pediatric health care quality.
The authors described and illustrated in case examples the functions, benefits, and challenges of patient-reported outcomes applications. They concluded that pediatric patient-reported outcomes are increasingly recognized as valuable indicators of health care quality in the clinical environment and as measures of organization- and provider-level performance.
AHRQ-funded; HS020408.
Citation: Bevans KB, Moon J, Carle AC .
Patient reported outcomes as indicators of pediatric health care quality.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S90-6. doi: 10.1016/j.acap.2014.06.002..
Keywords: Children/Adolescents, Quality of Care, Children/Adolescents, Quality Indicators (QIs), Quality Measures, Provider Performance
Gidengil C, Mangione-Smith R, Bailey LC
Using Medicaid and CHIP claims data to support pediatric quality measurement: lessons from 3 centers of excellence in measure development.
The investigators sought to explore the claims data-related issues relevant to quality measure development for Medicaid and the Children's Health Insurance Program (CHIP), illustrating the challenges encountered and solutions developed around 3 distinct performance measure topics: care coordination for children with complex needs, quality of care for high-prevalence conditions, and hospital readmissions. Their three Centers of Excellence in pediatric quality measurement used innovative methods to develop algorithms that use Medicaid claims data to identify children with complex needs; to overcome some shortcomings of existing data for measuring quality of care for common conditions such as otitis media; and to identify readmissions after hospitalizations for lower respiratory infections.
AHRQ-funded; HS020513; HS020506; HS020508.
Citation: Gidengil C, Mangione-Smith R, Bailey LC .
Using Medicaid and CHIP claims data to support pediatric quality measurement: lessons from 3 centers of excellence in measure development.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S76-81. doi: 10.1016/j.acap.2014.06.014.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Medicaid, Quality Indicators (QIs), Quality Measures, Quality of Care
Sentell T, Chang A, Cheng Y
Maternal quality and safety outcomes for Asians and Pacific Islanders in Hawaii: an observational study from five years of statewide data.
The authors investigated maternal quality and safety outcomes across heterogeneous Asian and Pacific Islanders subgroups in the United States. They found significant variation for Asian and Pacific Islander subgroups across maternal quality and safety outcomes.
AHRQ-funded; HS019990; HS021903.
Citation: Sentell T, Chang A, Cheng Y .
Maternal quality and safety outcomes for Asians and Pacific Islanders in Hawaii: an observational study from five years of statewide data.
BMC Pregnancy Childbirth 2014 Aug 30;14:298. doi: 10.1186/1471-2393-14-298.
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Keywords: Disparities, Labor and Delivery, Patient-Centered Outcomes Research, Quality Indicators (QIs), Racial and Ethnic Minorities
Brown SE, Ratcliffe SJ, Halpern SD
An empirical comparison of key statistical attributes among potential ICU quality indicators.
The researchers assessed the performance of candidate indicators of ICU quality based on face validity, relevance to patients, ability to be measured reliably, sufficient variability to identify poor performers, relative insensitivity to severity adjustment, and the ability to capture what providers do rather than patients' characteristics. They concluded that no indicator performed optimally across assessments and recommended that future research seek to define and operationalize quality in a way that is relevant to both patients and providers.
AHRQ-funded; HS018406.
Citation: Brown SE, Ratcliffe SJ, Halpern SD .
An empirical comparison of key statistical attributes among potential ICU quality indicators.
Crit Care Med 2014 Aug;42(8):1821-31. doi: 10.1097/ccm.0000000000000334.
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Keywords: Quality of Care, Intensive Care Unit (ICU), Patient Safety, Quality Indicators (QIs), Hospital Readmissions
Maggard-Gibbons M
The use of report cards and outcome measurements to improve the safety of surgical care: the American College of Surgeons National Surgical Quality Improvement Program.
This review summarized the history of American College of Surgeons National Surgical Quality Improvement Project and its components, and described the evidence that feeding outcomes back to providers, along with real-time comparisons with other hospital rates, leads to quality improvement, better patient outcomes, cost savings and overall improved patient safety.
AHRQ-funded; 2902007100621.
Citation: Maggard-Gibbons M .
The use of report cards and outcome measurements to improve the safety of surgical care: the American College of Surgeons National Surgical Quality Improvement Program.
BMJ Qual Saf 2014 Jul;23(7):589-99. doi: 10.1136/bmjqs-2013-002223..
Keywords: Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Surgery, Patient Safety, Outcomes, Patient-Centered Outcomes Research, Provider Performance
Shelton J, Kummerow K, Phillips S
Patient safety in the era of the 80-hour workweek.
The purpose of this paper was to evaluate the effect of duty-hour regulations (DHR) on patient safety. The researchers found no differences in the patient safety indicator (PSI) rates over time for hemorrhage or hematoma, physiologic or metabolic derangement, accidental puncture or laceration, or wound dehiscence. Teaching hospitals had higher rates than non-teaching hospitals both preintervention and postintervention for all the PSIs except wound dehiscence.
AHRQ-funded; HS013833.
Citation: Shelton J, Kummerow K, Phillips S .
Patient safety in the era of the 80-hour workweek.
J Surg Educ 2014 Jul-Aug;71(4):551-9. doi: 10.1016/j.jsurg.2013.12.011.
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Keywords: Adverse Events, Education: Continuing Medical Education, Patient Safety, Quality Indicators (QIs), Provider
Gibson G, Jurasic MM, Wehler CJ
Longitudinal outcomes of using a fluoride performance measure for adults at high risk of experiencing caries.
In this paper, the authors hypothesized that after the implementation of a performance measure regarding appropriate fluoride use, veterans at high risk of experiencing caries would require fewer new dental restorations than in the past. They found that, after use of the performance measure for four years, there were 8.6 percent fewer patients needing two or more restorations, a 10.8 percent decrease in the mean number of restorations, and a modest 3.4 percent fewer patients at high risk of experiencing caries who required new restorations after the initial 12-month period.
AHRQ-funded; HS019527.
Citation: Gibson G, Jurasic MM, Wehler CJ .
Longitudinal outcomes of using a fluoride performance measure for adults at high risk of experiencing caries.
J Am Dent Assoc 2014 May;145(5):443-51. doi: 10.14219/jada.2013.53.
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Keywords: Dental and Oral Health, Healthcare Delivery, Provider Performance, Quality Indicators (QIs), Quality Measures
Weissman JS, López L, Schneider EC
The association of hospital quality ratings with adverse events.
The researchers used a survey of 2,582 patients hospitalized at 16 acute care Massachusetts hospitals to understand how patient-reported quality is related to adverse events (AEs). Although patients with AEs rated hospital quality lower than others, patients with AEs who experienced ‘service recovery’ rated their quality of care at levels similar to those not experiencing AEs.
AHRQ-funded
Citation: Weissman JS, López L, Schneider EC .
The association of hospital quality ratings with adverse events.
Int J Qual Health Care. 2014 Apr;26(2):129-35. doi: 10.1093/intqhc/mzt092..
Keywords: Adverse Events, Quality of Care, Hospitals, Patient Experience, Patient Safety, Quality Indicators (QIs), Quality Measures
Ottenbacher KJ, Karmarkar A, Graham JE
Thirty-day hospital readmission following discharge from postacute rehabilitation in fee-for-service Medicare patients.
This study sought to determine 30-day readmission rates and factors related to readmission for patients receiving postacute inpatient rehabilitation. It found that among postacute rehabilitation facilities providing services to Medicare fee-for-service beneficiaries, 30-day readmission rates ranged from 5.8 percent to 18.8 percent for selected impairment groups.
AHRQ-funded; HS022134.
Citation: Ottenbacher KJ, Karmarkar A, Graham JE .
Thirty-day hospital readmission following discharge from postacute rehabilitation in fee-for-service Medicare patients.
JAMA 2014 Feb 12;311(6):604-14. doi: 10.1001/jama.2014.8..
Keywords: Hospital Readmissions, Medicare, Rehabilitation, Elderly, Quality Indicators (QIs)
Moy E, Mau MK, Raetzman S
AHRQ Author: Moy E, Andrews R
Ethnic differences in potentially preventable hospitalizations among Asian Americans, Native Hawaiians, and other Pacific Islanders: implications for reducing health care disparities.
This study aimed to produce reliable estimates of health care quality among Native Hawaiian (NH), Other Pacific Islander (PI), and Asian American (AA) small population subgroups. Results showed that, despite efforts to reduce racial/ethnic health care disparities, significant gaps remain in potentially preventable hospitalization rates.
AHRQ-authored.
Citation: Moy E, Mau MK, Raetzman S .
Ethnic differences in potentially preventable hospitalizations among Asian Americans, Native Hawaiians, and other Pacific Islanders: implications for reducing health care disparities.
Ethn Dis 2013 Winter;23(1):6-11.
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Keywords: Disparities, Healthcare Cost and Utilization Project (HCUP), Hospitalization, Quality Indicators (QIs), Racial and Ethnic Minorities
Lewandowski RE, Acri MC, Hoagwood KE
Evidence for the management of adolescent depression.
This article reports on the development of a care pathway and quality indicators (QIs) for the primary and specialty care management of adolescent depression. It also reviews clinical practice guidelines and identifies barriers to the development of QIs, such as gaps in the empirical evidence. Finally, a research agenda is suggested.
AHRQ-funded; HS020503
Citation: Lewandowski RE, Acri MC, Hoagwood KE .
Evidence for the management of adolescent depression.
Pediatrics. 2013 Oct;132(4):e996-e1009. doi: 10.1542/peds.2013-0600..
Keywords: Children/Adolescents, Depression, Quality Indicators (QIs), Guidelines, Quality of Care
Conway PH, Mostashari F, Clancy CM
AHRQ Author: Clancy CM
The future of quality measurement for improvement and accountability.
The authors describe the characteristics of the quality measurement enterprise of the future, outline a potential roadmap for the transition, and identify a set of opportunities for public- and private-sector collaboration.
AHRQ-authored.
Citation: Conway PH, Mostashari F, Clancy CM .
The future of quality measurement for improvement and accountability.
JAMA 2013 Jun 5;309(21):2215-6. doi: 10.1001/jama.2013.4929.
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Keywords: Healthcare Delivery, Policy, Organizational Change, Quality Indicators (QIs), Quality Measures, Quality of Care
O'Leary KJ, Devisetty VK, Patel AR
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
This study compared a traditional trigger tool with an enterprise data warehouse (EDW) based screening method to detect hospital adverse events (AEs). The authors found relatively poor agreement between traditional trigger tool and EDW based screening with only approximately a third of all AEs detected by both methods. They recommended a combination of complementary methods as the optimal approach to detecting AEs among hospitalized patients.
AHRQ-funded; HS019630.
Citation: O'Leary KJ, Devisetty VK, Patel AR .
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
BMJ Qual Saf 2013 Feb;22(2):130-8. doi: 10.1136/bmjqs-2012-001102.
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Keywords: Adverse Events, Hospitals, Medical Errors, Patient Safety, Quality Indicators (QIs)