National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (2)
- Disparities (1)
- Electronic Health Records (EHRs) (1)
- Healthcare Costs (1)
- Health Information Technology (HIT) (2)
- Hospitals (3)
- Long-Term Care (1)
- Medicare (1)
- Nursing Homes (1)
- Patient Experience (1)
- (-) Provider Performance (5)
- Quality Improvement (1)
- Quality Indicators (QIs) (2)
- (-) Quality Measures (5)
- Quality of Care (5)
- Racial and Ethnic Minorities (1)
- Surgery (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 5 of 5 Research Studies DisplayedGreenberg JK, Olsen MA, Dibble CF
Comparison of cost and complication rates for profiling hospital performance in lumbar fusion for spondylolisthesis.
Investigators sought to evaluate the reliability of 90-day inpatient hospital costs, overall complications, and rates of serious complications for profiling hospital performance in lumbar fusion surgery for spondylolisthesis. Using HCUP data, they found that 90-day inpatient costs were highly reliable for assessing variation across hospitals, whereas overall and serious complications were only moderately reliable for profiling performance. They concluded that their results support the viability of emerging bundled payment programs that assume true differences in costs of care exist across hospitals.
AHRQ-funded; HS027075; HS019455.
Citation: Greenberg JK, Olsen MA, Dibble CF .
Comparison of cost and complication rates for profiling hospital performance in lumbar fusion for spondylolisthesis.
Spine J 2021 Dec;21(12):2026-34. doi: 10.1016/j.spinee.2021.06.014..
Keywords: Healthcare Costs, Hospitals, Provider Performance, Surgery, Quality Measures, Quality of Care
Davila 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
Fowler FJ, Brenner PS, Hargraves JL
Comparing web and mail protocols for administering Hospital Consumer Assessment of Healthcare Providers and Systems surveys.
This study’s objective was to compare results of using web-based and mail HCAHPS data collection protocols. The cohort included patients who were hospitalized in a New England Hospital. Patients who provided email addresses were randomized to 1 of 3 data collection protocols: web-only, web with postal mail follow-up, and postal mail only. Those who did not provide email addresses were surveyed by postal mail only. The study lasted 8 weeks. Measures looked at included response rates, characteristics of respondents, 6 composite measures of their patient experiences, and two ratings of the hospital. Web-only response rates were significantly lower than for mail or combined protocols, and those who had not provided email addresses also had lower response rates. Older adults over age 65 were more likely to respond to all protocols, especially for mail-only respondents. Respondents without email addresses were older, less educated, and reported worse health than those who had email addresses.
AHRQ-funded; HS016978.
Citation: Fowler FJ, Brenner PS, Hargraves JL .
Comparing web and mail protocols for administering Hospital Consumer Assessment of Healthcare Providers and Systems surveys.
Med Care 2021 Oct;59(10):907-12. doi: 10.1097/mlr.0000000000001627..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Hospitals, Health Information Technology (HIT), Quality Measures, Provider Performance, Quality of 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
Meyers DJ, Rahman M, Mor V
Association of Medicare Advantage Star Ratings with racial, ethnic, and socioeconomic disparities in quality of care.
This cross-sectional study looked at racial/ethnic minority and socioeconomic disparities in ratings for Medicare Advantage (MA) plans, which disproportionately enroll these populations. A total of 1,578,564 enrollees were included in this analysis that used 22 measures of quality and satisfaction at the individual enrollee level, aggregated into simulated star ratings from 2-5 stratified by socioeconomic status (SES) and race/ethnicity. Low SES enrollees had simulated stratified star ratings 0.5 stars lower than individuals with high SES in the same contract. Black enrollees had simulated star ratings that were 0.3 stars lower and Hispanic enrollees had 0.1 lower simulated star ratings than White enrollees in the same contract. There was a larger difference in ratings with 4.5 to 5-star contracts with Black and Hispanic enrollees with Whites, and no statistical difference in 2.0 to 2.5 star-rated contracts. There was only low correlation between simulated ratings for enrollees of low SES and high SES.
AHRQ-funded; HS02705101.
Citation: Meyers DJ, Rahman M, Mor V .
Association of Medicare Advantage Star Ratings with racial, ethnic, and socioeconomic disparities in quality of care.
JAMA Health Forum 2021 Jun;2(6):e210793..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Medicare, Patient Experience, Disparities, Quality Measures, Provider Performance, Quality of Care, Racial and Ethnic Minorities