Predicting pharmacy costs and other medical costs using diagnoses and drug claims.
about
The new medicare drug benefit: formularies and their potential effects on access to medicationsHealthcare costs and utilization for Medicare beneficiaries with Alzheimer'sPerformance of statistical models to predict mental health and substance abuse costAn in-depth assessment of a diagnosis-based risk adjustment model based on national health insurance claims: the application of the Johns Hopkins Adjusted Clinical Group case-mix system in TaiwanApplying diagnosis and pharmacy-based risk models to predict pharmacy use in Aragon, Spain: the impact of a local calibrationComparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan.Racial disparities in health status: a comparison of the morbidity among American Indian and U.S. adults with diabetes.Dietary guideline adherence for gastroesophageal reflux diseaseDiagnosis-based risk adjustment for medicare prescription drug plan payments.Prescription drug use and expenditures among dually eligible beneficiariesThe implications of regional and national demographic projections for future GMS costs in Ireland through to 2026.Pharmaceutical cost management in an ambulatory setting using a risk adjustment tool.Aspirin and nonsteroidal anti-inflammatory drug use and the risk of Barrett's esophagus.What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?Lower 30-day readmission rates with roflumilast treatment among patients hospitalized for chronic obstructive pulmonary disease.Predictors of primary health care pharmaceutical expenditure by districts in Uganda and implications for budget setting and allocationAdiponectin May Modify the Risk of Barrett's Esophagus in Patients With Gastroesophageal Reflux DiseaseFactors influencing the variation in GMS prescribing expenditure in IrelandMedicare Part D and potentially inappropriate medication use in the elderly.The influence of socio-economic status and multimorbidity patterns on healthcare costs: a six-year follow-up under a universal healthcare system.Helicobacter pylori infection and the risk of Barrett's oesophagus: a community-based studyHemochromatosis gene status as a risk factor for Barrett's esophagusIron intake and body iron stores as risk factors for Barrett's esophagus: a community-based study.Alcohol types and sociodemographic characteristics as risk factors for Barrett's esophagusInfluenza vaccination and mortality: differentiating vaccine effects from bias.Dietary antioxidants, fruits, and vegetables and the risk of Barrett's esophagus.Effects of dietary fiber, fats, and meat intakes on the risk of Barrett's esophagus.Comparing potentially avoidable hospitalization rates related to ambulatory care sensitive conditions in Switzerland: the need to refine the definition of health conditions and to adjust for population health status.Predicting patient 'cost blooms' in Denmark: a longitudinal population-based study.A Review on Methods of Risk Adjustment and their Use in Integrated Healthcare SystemsCase selection for a Medicaid chronic care management program.Dietary patterns and the risk of Barrett's esophagus.Enhancing Administrative Data to Predict Emergency Department Utilization: The Role of Neighborhood Sociodemographics.Factors Influencing the Total Inpatient Pharmacy Cost at a Tertiary Hospital in Malaysia: A Retrospective Study.Gastroesophageal Reflux Frequency, Severity, Age of Onset, Family History and Acid Suppressive Therapy Predict Barrett Esophagus in a Large Population.Projection of future pharmacy service fees using the dispensing claims in hospital and clinic outpatient pharmacies: national health insurance database between 2006 and 2012.
P2860
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P2860
Predicting pharmacy costs and other medical costs using diagnoses and drug claims.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Predicting pharmacy costs and other medical costs using diagnoses and drug claims.
@en
type
label
Predicting pharmacy costs and other medical costs using diagnoses and drug claims.
@en
prefLabel
Predicting pharmacy costs and other medical costs using diagnoses and drug claims.
@en
P2093
P1433
P1476
Predicting pharmacy costs and other medical costs using diagnoses and drug claims
@en
P2093
Arlene S Ash
Bruce Bowen
Gregory C Pope
John Z Ayanian
Lori Weyuker
Randall P Ellis
P577
2005-01-01T00:00:00Z