National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Behavioral Health (1)
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- Electronic Health Records (EHRs) (2)
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- Health Information Technology (HIT) (3)
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- (-) Quality Indicators (QIs) (6)
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- Substance Abuse (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 6 of 6 Research Studies DisplayedDavila H, Shippee TP, Park YS
Inside the black box of improving on nursing home quality measures.
This qualitative study investigated how nursing homes (NHs) interact with quality measures (QMs) used by Nursing Home Compare (NHC) as part of its 5-star rating system. Semistructured interviews were conducted with 110 NH personnel and 23 NH provider association representatives. Observations of organizational processes in 12 NHs in three states were also done. The authors found that most NHs are working to improve the quality of care they provide, not merely to improve their QM scores. They also found limitations with the QMs, suggesting that the QMs on their own may not accurately reflect the quality of care that NHs provide. The findings suggest several changes to improve NHC.
AHRQ-funded; HS024967.
Citation: Davila H, Shippee TP, Park YS .
Inside the black box of improving on nursing home quality measures.
Med Care Res Rev 2021 Dec;78(6):758-70. doi: 10.1177/1077558720960326..
Keywords: Nursing Homes, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care, Provider Performance, Long-Term Care
Holmgren AJ, Kuznetsova M, Classen D
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
The authors measured hospital performance, stratified by electronic health record (EHR) vendor, across 4 quality metrics. They found that no EHR vendor was associated with higher quality across all measures, and the 2 largest vendors were not associated with the highest scores. Only a small fraction of quality variation was explained by EHR vendor choice. They concluded that top performance on quality measures can be achieved with any EHR vendor, as much of quality performance is driven by the hospital and how it uses the EHR.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Kuznetsova M, Classen D .
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
J Am Med Inform Assoc 2021 Sep 18;28(10):2101-07. doi: 10.1093/jamia/ocab120..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Measures, Hospitals, Quality of Care, Provider Performance
Tedesco D, Moghavem N, Weng Y
Improvement in patient safety may precede policy changes: trends in patient safety indicators in the United States, 2000-2013.
This study’s aim was to assess changes in national patient safety trends that corresponded to U.S. pay-for-performance reforms. The study analyzed 13 patient safety indicators (PSIs) that were developed by AHRQ. PSI trends, Center for Medicaid and Medicare Services payment policy changes, and Inpatient Prospective Payment System regulations and notices between 2000 and 2013 were analyzed. Twelve of the thirteen PSIs had decreasing or stable trends in the last 5 years of the study. Central-line bloodstream infections had the greatest annual decrease (-31.1 annual percent change between 2006 and 2013) whereas postoperative respiratory failure had the smallest annual percent change (-3.5 between 2005 and 2013). Significant decreases in trends preceded federal payment reform initiatives in all but postoperative hip fracture. These findings suggest that intense public discourses targeting patient safety may drive national policy reforms.
AHRQ-funded; HS018558.
Citation: Tedesco D, Moghavem N, Weng Y .
Improvement in patient safety may precede policy changes: trends in patient safety indicators in the United States, 2000-2013.
J Patient Saf 2021 Jun 1;17(4):e327-e34. doi: 10.1097/pts.0000000000000615..
Keywords: Patient Safety, Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Policy
Palen TE, Peterson L, Palen TE
Clinical quality measure exchange is not easy.
The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality was a randomized controlled trial which first had to test whether quality reporting could be a by-product of clinical care. The investigators reported on the initial descriptive study of the capacity for and quality of exchange of whole-panel, standardized quality measures from health systems. They concluded that the secure transfer of standardized, physician-level quality measures from 4 health systems with mature measure processes proved difficult. There were many errors that required human intervention and manual repair, precluding full automation.
AHRQ-funded; HS022583.
Citation: Palen TE, Peterson L, Palen TE .
Clinical quality measure exchange is not easy.
Ann Fam Med 2021 May-Jun;19(3):207-11. doi: 10.1370/afm.2649..
Keywords: Quality Measures, Quality Indicators (QIs), Quality of Care, Health Information Exchange (HIE), Health Information Technology (HIT)
Anderson KE, Alexander GC, Niles L
Quality of preventive and chronic illness care for insured adults with opioid use disorder.
Investigators sought to measure quality of non-opioid use disorder (OUD) preventive and chronic illness care and care coordination for individuals with OUD compared with individuals without OUD. They used deidentified data on outpatients throughout the United States from claims for commercially insured and Medicare Advantage enrollees aged 18 years or older with diagnosis codes for OUD. They found that individuals with OUD have moderately lower quality of care across preventive and chronic illness care and care coordination for non-OUD care compared with individuals without OUD. They recommended more attention to measurement and improvement of non-OUD care for these individuals.
AHRQ-funded; HS000029.
Citation: Anderson KE, Alexander GC, Niles L .
Quality of preventive and chronic illness care for insured adults with opioid use disorder.
JAMA Netw Open 2021 Apr;4(4):e214925. doi: 10.1001/jamanetworkopen.2021.4925..
Keywords: Opioids, Medication, Substance Abuse, Quality Indicators (QIs), Quality of Care, Behavioral Health, Chronic Conditions, Prevention
Elysee G, Yu H, Herrin J
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
A study was conducted to determine if there is an association of health information technology (HIT) adoption and a decrease in 30-day hospital readmission rates. Data was used from the 2013 American Hospital Association IT survey which included non-federal U.S. acute care hospitals with self-reported capabilities. A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis. A one-point increase in the hospital adoption of patient engagement capability latent scores generally leads to a 0.086% decrease in risk-standardized readmission rates (RSRRs). However, computerized hospital discharge and information exchange among clinicians did not seem as beneficial.
AHRQ-funded; HS022882.
Citation: Elysee G, Yu H, Herrin J .
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
Medicine 2021 Feb 26;100(8):e24755. doi: 10.1097/md.0000000000024755..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality of Care