James X Zhang
Biographic Data
| ID | 5536638 |
|---|---|
| NAME | James X Zhang |
| GIVEN NAMES | James X |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG J X |
| AFFILIATIONS | Department of Medicine |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence
BACKGROUND: Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare. OBJECTIVE: We propose to develop a novel integrated dataset to study CRN longitudinally. RESEARCH DESIGN: A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A met…
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
Socioeconomic Disparities in Ectopic Pregnancy
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
Specialty Differences in the Care of Older Patients With Diabetes
OBJECTIVES: To determine differences in health status, quality of care, and resource utilization among older diabetic Medicare patients cared for by endocrinologists, internists, family practitioners, and general practitioners. METHODS: The authors analyzed 1,637 patients with diabetes age 65 years or older in the 1994 Medicare Current Beneficiary Survey, a database that links patient surveys to 12 months of Medicare claims data. MEASURES: Measur…
The Performance of Different Lookback Periods and Sources of Information for Charlson Comorbidity Adjustment in Medicare Claims
BACKGROUND: The Charlson Score is a particularly popular form of comorbidity adjustment in claims data analysis. However, the effects of certain implementation decisions have not been empirically examined. OBJECTIVE: To determine the effects of alternative data sources and lookback periods on the performance of Charlson scores in the prediction of mortality following hospitalization. SUBJECTS: A representative sample of 1,387 elderly patients hos…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
The Performance of Different Lookback Periods and Sources of Information for Charlson Comorbidity Adjustment in Medicare Claims
BACKGROUND: The Charlson Score is a particularly popular form of comorbidity adjustment in claims data analysis. However, the effects of certain implementation decisions have not been empirically examined. OBJECTIVE: To determine the effects of alternative data sources and lookback periods on the performance of Charlson scores in the prediction of mortality following hospitalization. SUBJECTS: A representative sample of 1,387 elderly patients hos…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
Specialty Differences in the Care of Older Patients With Diabetes
OBJECTIVES: To determine differences in health status, quality of care, and resource utilization among older diabetic Medicare patients cared for by endocrinologists, internists, family practitioners, and general practitioners. METHODS: The authors analyzed 1,637 patients with diabetes age 65 years or older in the 1994 Medicare Current Beneficiary Survey, a database that links patient surveys to 12 months of Medicare claims data. MEASURES: Measur…
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Socioeconomic Disparities in Ectopic Pregnancy
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence
BACKGROUND: Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare. OBJECTIVE: We propose to develop a novel integrated dataset to study CRN longitudinally. RESEARCH DESIGN: A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A met…
Medicine (8 works) · Demography (5 works) · Gerontology (4 works) · Internal Medicine (4 works) · Internal Medicine (4 works) · Chronic Disease Management Strategies (3 works) · Demography (3 works) · Environmental health (3 works) · Family medicine (3 works) · Gerontology (3 works)