National Healthcare Quality and Disparities Report
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedMehta HB, Sura SD, Adhikari D
Adapting the Elixhauser comorbidity index for cancer patients.
This study was designed to adapt the Elixhauser comorbidity index for 4 cancer-specific populations and compare 3 versions of the Elixhauser comorbidity score with 3 versions of the Charlson comorbidity score for predicting 2-year survival with 4 types of cancer. Using data from the Texas Cancer Registry-linked Medicare data from 2005 to 2011, the researchers found that cancer-specific Elixhauser comorbidity scores performed slightly better than cancer-specific Charlson comorbidity scores. Individual Elixhauser comorbidities performed best.
AHRQ-funded; HS022134.
Citation: Mehta HB, Sura SD, Adhikari D .
Adapting the Elixhauser comorbidity index for cancer patients.
Cancer 2018 May 1;124(9):2018-25. doi: 10.1002/cncr.31269.
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Keywords: Cancer, Elderly, Medicare, Patient-Centered Outcomes Research, Registries
Roch AM, Mehrabi S, Krishnan A
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
The purpose of this study was to implement an automated Natural Language Processing (NLP)-based pancreatic cyst identification system. It found that NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR). This highly accurate system can help capture patients ‘at-risk’ of pancreatic cancer in a registry.
AHRQ-funded; HS019818.
Citation: Roch AM, Mehrabi S, Krishnan A .
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
HPB 2015 May;17(5):447-53. doi: 10.1111/hpb.12375..
Keywords: Cancer, Electronic Health Records (EHRs), Registries, Health Information Technology (HIT)
Kamal AH, Nipp RD, Bull JH
Quality of palliative care for patients with advanced cancer in a community consortium.
The authors formed the Carolinas Consortium for Palliative Care and collected a quality data registry to monitor their practice and to inform quality improvement efforts. They demonstrated that measures evaluating process assessment, as opposed to interventions, are better documented. They concluded that analyzing data on quality is feasible and valuable in community-based palliative care and that, overall, processes to collect data on quality using nontechnology methods may underestimate true adherence to quality measures.
AHRQ-funded; HS022763.
Citation: Kamal AH, Nipp RD, Bull JH .
Quality of palliative care for patients with advanced cancer in a community consortium.
J Pain Symptom Manage 2015 Feb;49(2):289-92. doi: 10.1016/j.jpainsymman.2014.05.024.
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Keywords: Cancer, Healthcare Delivery, Quality of Care, Palliative Care, Registries
Banerjee M, Muenz DG, Worden FP
Conditional survival in patients with thyroid cancer.
This study used data from Surveillance, Epidemiology, and End Results (SEER) registry to determine conditional 5-year disease-specific survival based on patient age, gender, and stage. It found that patients with localized thyroid cancer have excellent conditional 5-year survival, irrespective of where they are in their survivorship phase. In addition, patients with regional thyroid cancer have relatively stable conditional 5-year survival.
AHRQ-funded; HS020937.
Citation: Banerjee M, Muenz DG, Worden FP .
Conditional survival in patients with thyroid cancer.
Thyroid 2014 Dec;24(12):1784-9. doi: 10.1089/thy.2014.0264..
Keywords: Cancer, Mortality, Outcomes, Registries