Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where William D. Marder is active.

Publication


Featured researches published by William D. Marder.


BMC Pregnancy and Childbirth | 2014

Geographic variation in cesarean delivery in the United States by payer

Rachel Mosher Henke; Lauren M Wier; William D. Marder; Bernard Friedman; Herbert S. Wong

BackgroundThe rate of cesarean delivery in the United States is variable across geographic areas. The aims of this study are two-fold: (1) to determine whether the geographic variation in cesarean delivery rate is consistent for private insurance and Medicaid (2) to identify the patient, population, and market factors associated with cesarean rate and determine if these factors vary by payer.MethodsWe used the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) to measure the cesarean rate at the Core-Based Statistical Area (CBSA) level. We linked the hospitalization data to data from other national sources to measure population and market characteristics. We calculated unadjusted and risk-adjusted CBSA cesarean rates by payer. For the second aim, we estimated a hierarchical logistical model with the hospitalization as the unit of analysis to determine the factors associated with cesarean delivery.ResultsThe average CBSA cesarean rate for women with private insurance was higher (18.9 percent) than for women with Medicaid (16.4 percent). The factors predicting cesarean rate were largely consistent across payers, with the following exceptions: women under age 18 had a greater likelihood of cesarean section if they had Medicaid but had a greater likelihood of vaginal birth if they had private insurance; Asian and Native American women with private insurance had a greater likelihood of cesarean section but Asian and Native American women with Medicaid had a greater likelihood of vaginal birth. The percent African American in the population predicted increased cesarean rates for private insurance only; the number of acute care beds per capita predicted increased cesarean rate for women with Medicaid but not women with private insurance. Further we found the number of obstetricians/gynecologists per capita predicted increased cesarean rate for women with private insurance only, and the number of midwives per capita predicted increased vaginal birth rate for women with private insurance only.ConclusionsFactors associated with geographic variation in cesarean delivery, a frequent and high-resource inpatient procedure, vary somewhat by payer. Using this information to identify areas for intervention is key to improving quality of care and reducing healthcare costs.


Medical Care Research and Review | 2015

Patient Factors Contributing to Variation in Same-Hospital Readmission Rate

Rachel Mosher Henke; Zeynal Karaca; Hollis Lin; Lauren M Wier; William D. Marder; Herbert S. Wong

The Centers for Medicare & Medicaid Services Hospital Readmission Reduction Program and the Centers for Medicare & Medicaid Innovations Bundled Payments for Care Improvement Initiative hold hospitals accountable for readmissions that occur at other hospitals. A few studies have described the extent to which hospital readmissions occur at the original place of treatment (i.e., same-hospital readmissions). This study uses data from 16 states to describe variation in same-hospital readmissions by patient characteristics across multiple conditions. We found that the majority of 30-day readmissions occur at the same hospital, although rates varied considerably by condition. A significant number of hospitals had very low rates of same-hospital readmissions, meaning that the majority of their readmissions went to other hospitals. Future research should examine why some hospitals are able to retain patients for a same-hospital readmission and others are not.


BMC Health Services Research | 2014

Association between the unemployment rate and inpatient cost per discharge by payer in the United States, 2005-2010

Jared Lane K Maeda; Rachel Mosher Henke; William D. Marder; Zeynal Karaca; Bernard Friedman; Herbert S. Wong

BackgroundSeveral reports have linked the 2007–2009 Great Recession in the United States with a slowdown in health care spending and decreased utilization. However, little is known regarding how the recent economic downturn affected hospital costs per inpatient stay for different segments of the population. The purpose of this study was to examine the association between changes in the unemployment rate and inpatient cost per discharge for Medicare and commercial discharges.MethodsWe used retrospective data at the Core Based Statistical Area (CBSA)-level from 46 states that contributed to the Healthcare Cost and Utilization Project State Inpatient Databases from 2005 to 2010. Unemployment data was derived from the American Community Survey. An instrumental variable two-stage least squares approach with fixed- or random-effects was used to examine the association between unemployment rate and inpatient cost per discharge by payer because of potential endogeneity.ResultsThe marginal effect of unemployment was associated with an increase in inpatient cost per discharge for both payers. A one percentage point increase in the unemployment rate was associated with a


Medical Care Research and Review | 2011

Geographic Variation A View From the Hospital Sector

Rachel Mosher Henke; William D. Marder; Bernard Friedman; Herbert S. Wong

37 increase for commercial discharges and a


Health Services Research | 2018

Impact of Health System Affiliation on Hospital Resource Use Intensity and Quality of Care

Rachel Mosher Henke; Zeynal Karaca; Brian J. Moore; Eli Cutler; Hangsheng Liu; William D. Marder; Herbert S. Wong

49 increase for Medicare discharges.ConclusionsWe find evidence that the inpatient cost per discharge is countercyclical across different segments of the population. The underlying mechanisms by which unemployment affects hospital resource use however, might differ between payer groups.


Medical Care Research and Review | 2017

Discharge Planning and Hospital Readmissions

Rachel Mosher Henke; Zeynal Karaca; Paige Jackson; William D. Marder; Herbert S. Wong

Efforts to characterize geographic variation in health care utilization and spending have focused on patterns observed with Medicare data. The authors analyzed the Healthcare Cost and Utilization Project national all-payer data for inpatient stays to assess variation in hospitalizations by age groups and, consequently, to understand how utilization of the Medicare population may differ from the population of other payers. The authors found that the correlation between inpatient discharges and costs per capita for the Medicare-eligible population over 65 and younger age groups increased from moderate to strong with age. These findings suggest examining Medicare inpatient data alone may provide a useful but not comprehensive understanding how hospital utilization and costs vary for the total population.


Journal of Behavioral Health Services & Research | 2018

Factors that affect choice of mental health provider and receipt of outpatient mental health treatment

Jenna M. Jones; Mir M. Ali; Ryan Mutter; Rachel Mosher Henke; Manjusha Gokhale; William D. Marder; Tami Mark

OBJECTIVE To assess the impact of hospital affiliation, centralization, and managed care plan ownership on inpatient cost and quality. DATA SOURCES Inpatient discharges from 3,957 community hospitals in 44 states and American Hospital Association Annual Survey data from 2010 to 2012. STUDY DESIGN We conducted a retrospective longitudinal regression analysis using hierarchical modeling of discharges clustered within hospitals. DATA COLLECTION Detailed discharge data including costs, length of stay, and patient characteristics from the Healthcare Cost and Utilization Project State Inpatient Databases were merged with hospital survey data from the American Hospital Association. PRINCIPAL FINDINGS Hospitals affiliated with health systems had a higher cost per discharge and better quality of care compared with independent hospitals. Centralized systems in particular had the highest cost per discharge and longest stays. Independent hospitals with managed care plans had a higher cost per discharge and better quality of care compared with other independent hospitals. CONCLUSIONS Increasing prevalence of health systems and hospital managed care ownership may lead to higher quality but are unlikely to reduce hospital discharge costs. Encouraging participation in innovative payment and delivery reform models, such as accountable care organizations, may be more powerful options.


Health Services Research | 2015

The Relationship between Local Economic Conditions and Acute Myocardial Infarction Hospital Utilization by Adults and Seniors in the United States, 1995-2011.

G. Carls; Rachel Mosher Henke; Zeynal Karaca; William D. Marder; Herbert S. Wong

This study examines the association between the quality of hospital discharge planning and all-cause 30-day readmissions and same-hospital readmissions. The sample included adults aged 18 years and older hospitalized in 16 states in 2010 or 2011 for acute myocardial infarction, heart failure, pneumonia, or total hip or joint arthroplasty. Data from the Hospital Consumer Assessment of Healthcare Providers and Systems measured discharge-planning quality at the hospital level. A generalized linear mixed model was used to estimate the contribution of patient and hospital characteristics to 30-day all-cause and same-hospital readmissions. Discharge-planning quality was associated with (a) lower rates of 30-day hospital readmissions and (b) higher rates of same-hospital readmissions for heart failure, pneumonia, and total hip or joint replacement. These results suggest that by improving inpatient discharge planning, hospitals may be able to influence their 30-day readmissions and increase the likelihood that readmissions will be to the same hospital.


The American Journal of Managed Care | 2014

Variation in Hospital Inpatient Prices Across Small Geographic Areas

Mph Jared Lane K. Maeda; Rachel Mosher Henke; William D. Marder; Zeynal Karaca; Bernard Friedman; and Herbert S. Wong

According to the US Department of Health and Human Services, 91 million adults live in mental health professional shortage areas and 10 million individuals have serious mental illness (SMI). This study examines how the supply of psychiatrists, severity of mental illness, out-of-pocket costs, and health insurance type influence patients’ decisions to receive treatment and the type of provider chosen. Analyses using 2012–2013 MarketScan Commercial Claims data showed that patients residing in an area with few psychiatrists per capita had a higher predicted probability of not receiving follow-up care (46.4%) compared with patients residing in an area with more psychiatrists per capita (42.5%), and those in low-psychiatrist-supply areas had a higher predicted probability of receiving prescription medication only (10.2 vs 7.6%). Patients with SMI were more likely than those without SMI to obtain treatment. A


The American Journal of Managed Care | 2013

Medicare and Commercial Inpatient Resource Use: Impact of Hospital Competition

Rachel Mosher Henke; Jared Lane Maeda; William D. Marder; Barry S. Friedman; and Herbert S. Wong

25 increase in out-of-pocket costs had marginal impact on patients’ treatment choices.

Collaboration


Dive into the William D. Marder's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Herbert S. Wong

Agency for Healthcare Research and Quality

View shared research outputs
Top Co-Authors

Avatar

Zeynal Karaca

Agency for Healthcare Research and Quality

View shared research outputs
Top Co-Authors

Avatar

Bernard Friedman

Agency for Healthcare Research and Quality

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Eli Cutler

Truven Health Analytics

View shared research outputs
Top Co-Authors

Avatar

G.M. Lenhart

Truven Health Analytics

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

D.M. Huse

Truven Health Analytics

View shared research outputs
Researchain Logo
Decentralizing Knowledge