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Spells without Health Insurance: the Distribution of Durations When Left-Censor Spells are Included [1]

Inquiry
Spring 1993
Swartz, K., Marcotte, J., and T.D. McBride

In a previous paper (1990), we estimated the distribution of durations of uninsured spells for which the beginning could be observed. We raised the concern that uninsured spells that were in progress when the Survey of Income and Program Participation began might not be proportionally represented in a sample of uninsured spells restricted to spells with observed beginnings. This paper includes spells in progress when SIPP began. Including left-censored spells, and correcting for length bias inherent in such spells, does not fundamentally change our previous estimate of the distribution.

Grants: 
The Dynamics of Spells Without Health Insurance [2]
Topic: 
Insurance Coverage [3]
Topic: 
Vulnerable Populations [4]

Medical Service Risk and the Evolution of Provider Compensation Arrangements [5]

Journal of Health Politics, Policy, and Law
Vol. 26, No. 5
October 2001
Bazzoli, G.J.
pp. 1003-18

The evolution of provider compensation arrangements including health maintenance organizations and capitated payment plans and reasons for the growing disinterest in such plans is discussed. Government's possible role in insuring health care providers against the financial risks they face is another topic.

View full article [6]...

Grants: 
Physician-Organization Arrangements: Impact on Integration and Managed Care [7]
Topic: 
Managed Care [8]
Topic: 
Provider Payment and Behavior [9]

Effect of Eliminating Behavioral Health Benefits for Selected Medicaid Enrollees [10]

Health Services Research-August 2008
Vol. 43, No. 4
August 2008
McConnell, K.J., Wallace, N.T., Gallia, C.A., and J.A. Smith
pp. 1348-65

Objective. To determine the extent to which the elimination of behavioral health benefits for selected beneficiaries of Oregon's Medicaid program affected general medical expenditures among enrollees using outpatient mental health and substance abuse treatment services. Data Source/Study Setting. Twelve months of claims before and 12 months following a 2003 policy change, which included the elimination of the behavioral health benefit for selected Oregon Medicaid enrollees. Study Design.

Grants: 
Surviving the Perfect Storm: Impacts of Benefit Reductions and Increased Cost Sharing in a Medicaid Program [11]
Topic: 
Behavioral Health [12]
Topic: 
Benefit Design [13]
Topic: 
Costs and Cost Containment [14]
Topic: 
Medicaid and SCHIP [15]

A Report Card on the Freshman Class of Consumer-Directed Health Plans [16]

Health Affairs - November/December 2005
Vol. 24, No. 6
November/December 2005
Rosenthal, M., Hsaun, C., and A. Milstein
pp. 1592-600

We used a series of case studies of first-generation consumer-directed health plans to investigate their early experience and the suitability of their design for reducing the growth in health benefit spending and improving the value of that spending.We found three fundamental but correctible weaknesses: Most plans do not make available comparative measures of quality and longitudinal cost-efficiency in enough detail to help consumers discern higher-value health care options; financial incentives for consumers are weak and insensitive to differences in value among the selections that consume

Grants: 
An Early Portrait of Consumer-Directed Health Benefits: Design, Integration, Penetration, and Effects [17]
Topic: 
Benefit Design [13]
Topic: 
Consumer Behavior [18]
Topic: 
Costs and Cost Containment [14]
Topic: 
Insurance Coverage [3]
Topic: 
Quality of Care [19]

The Impact of Medicaid Managed Care on Utilization of Obstetrical Care: Evidence from TennCare's Early Years [20]

Southern Medical Journal
Vol. 95, No. 8
August 2002
Sloan, F.A., Conover, C.J., Mah, M.L., and P.J. Rankin
pp. 811-21

BACKGROUND: TennCare expanded Medicaid coverage, substituting managed care for fee-for-service reimbursement in Tennessee. METHODS: To study effects of TennCare on utilization of obstetric care (office visits, prenatal tests, care at labor/delivery), we used a before (1993) and after (1995) design with North Carolina as a control state. Data came from interviews with women with various forms of insurance, delivering in 1993 or 1995 in both states. Multivariate logistic analysis was used to control for other utilization determinants (eg, demographic factors).

Grants: 
Evaluation of the TennCare Health Reform Plan [21]
Topic: 
Access [22]
Topic: 
Managed Care [8]
Topic: 
Medicaid and SCHIP [15]

Medical Malpractice Reform and Employer Sponsored Health Insurance Premiums [23]

Health Services Research-December 2008
Vol. 43, No. 6
December 2008
Morrisey, M.A., Kilgore, M.L., and L.J. Nelson
pp. 2124-42

Objective. Tort reform may affect health insurance premiums both by reducing medical malpractice premiums and by reducing the extent of defensive medicine. The objective of this study is to estimate the effects of noneconomic damage caps on the premiums for employer-sponsored health insurance. Data Sources/Study Setting. Employer premium data and plan/establishment characteristics were obtained from the 1999 through 2004 Kaiser/HRET Employer Health Insurance Surveys. Damage caps were obtained and dated based on state annotated codes, statutes, and judicial decisions. Study Design.

Grants: 
Medical Malpractice Reform and Implications for Health Insurance Costs [24]
Topic: 
Costs and Cost Containment [14]
Topic: 
Insurance Coverage [3]
Topic: 
Legal and Regulatory Environment [25]

Will Choice-Based Reform Work for Medicare? Evidence from the Federal Employees Health Benefits Program [26]

Health Services Research - June 2006
Vol. 41, No. 5
June 2006
Florence, C.S., Atherlym, A., and K.E. Thorpe
pp. 1741-61

Objective. To examine the effect of premiums and benefits on the health plan choices of older enrollees who choose Federal Employees Health Benefits Program (FEHBP) health plans as their primary payer.

Data Sources. Administrative enrollment data from the Office of Personnel Management (OPM) and plan premiums and benefits data taken from the Checkbook Guide to health plans.

Grants: 
Health Plan Selection for Medicare Eligible Enrollees in the Federal Employees Health Benefits Program [27]
Topic: 
Benefit Design [13]
Topic: 
Consumer Behavior [18]
Topic: 
Insurance Coverage [3]

Effects of Tennessee Medicaid Managed Care on Obstetrical Care and Birth Outcomes [28]

Journal of Health Polictics, Policy, and Law
Vol. 26, No. 6
December 2001
Conover, C.J., Rankin, P.J., and F.A. Sloan
pp. 1291-324

A comparative study was conducted in two neighboring states, Tennessee and North Carolina, to determine whether Medicaid managed care (implemented in Tennessee as TennCare) affected prenatal care, care patterns at labor-delivery, and birth outcomes. A pre- and post-design coupled with a difference-in-difference approach--using North Carolina as a control--was used to assess TennCare's effects for all births and for three categories of high-risk mothers (under age eighteen, unwed, or living in high poverty areas).

Grants: 
Evaluation of the TennCare Health Reform Plan [21]
Topic: 
Managed Care [8]
Topic: 
Medicaid and SCHIP [15]
Topic: 
Quality of Care [19]

Changes in Prenatal Care Timing and Low Birth Weight by Race and Socioeconomic Status: Implications for the Medicaid Expansions for Pregnant Women [29]

Health Services Research
Vol. 36, No. 2
July 2001
Dubay, L., Joyce, T., Kaestner, R., and G.M. Kenney
pp. 373-98

OBJECTIVE: To conduct the first national study that assesses whether the Medicaid expansions for pregnant women, legislated by Congress over a decade ago, met the policy objectives of improved access to care and birth outcomes for poor and near-poor women. DATA SOURCES/STUDY SETTING: Data on 8.1 million births using the 1980, 1986, and 1993 National Natality Files. We use births from all areas of the United States except California, Texas, Washington, and upstate New York.

Grants: 
The Impact of Medicaid Managed Care on Prenatal Use and Birth Outcomes [30]
Topic: 
Access [22]
Topic: 
Legal and Regulatory Environment [25]
Topic: 
Medicaid and SCHIP [15]
Topic: 
Quality of Care [19]
Topic: 
Vulnerable Populations [4]

The Demand for Health Insurance in the Group Setting: Can You Always Get What You Want? [31]

Journal of Risk and Insurance-March 2007
Vol. 74, No. 1
March 2007
Pauly, M.V. and B. Herring
pp. 115-140(26)

To what extent do health benefits obtained in the employment-based setting reflect individual preferences?  We examine this question by comparing the relationship between person-level characteristics and the plans they obtain in a group setting to the relationship observed in the individual insurance market, using data from the 1996-1997 and 1998-1999 Community Tracking Study's Household Surveys.  We also examine the effect of unions on group choice.  Our structural models of the demand for insurance indicate that plans obtained in the group setting often reflect underlying i

Grants: 
Guaranteed Renewability in Individual and Group Health Insurance: Functioning and Future Prospects [32]
Topic: 
Benefit Design [13]
Topic: 
Consumer Behavior [18]
Topic: 
Insurance Coverage [3]
Topic: 
Purchasing [33]
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Links:
[1] http://www.hcfo.org/publications/spells-without-health-insurance-distribution-durations-when-left-censor-spells-are-incl
[2] http://www.hcfo.org/grants/dynamics-spells-without-health-insurance
[3] http://www.hcfo.org/topics/insurance-coverage
[4] http://www.hcfo.org/topics/vulnerable-populations
[5] http://www.hcfo.org/publications/medical-service-risk-and-evolution-provider-compensation-arrangements
[6] http://jhppl.dukejournals.org/cgi/pdf_extract/26/5/1003
[7] http://www.hcfo.org/grants/physician-organization-arrangements-impact-integration-and-managed-care
[8] http://www.hcfo.org/topics/managed-care
[9] http://www.hcfo.org/topics/provider-payment-and-behavior
[10] http://www.hcfo.org/publications/effect-eliminating-behavioral-health-benefits-selected-medicaid-enrollees
[11] http://www.hcfo.org/grants/surviving-perfect-storm-impacts-benefit-reductions-and-increased-cost-sharing-medicaid-progra
[12] http://www.hcfo.org/topics/behavioral-health
[13] http://www.hcfo.org/topics/benefit-design
[14] http://www.hcfo.org/topics/costs-and-cost-containment
[15] http://www.hcfo.org/topics/medicaid-and-schip
[16] http://www.hcfo.org/publications/report-card-freshman-class-consumer-directed-health-plans
[17] http://www.hcfo.org/grants/early-portrait-consumer-directed-health-benefits-design-integration-penetration-and-effects
[18] http://www.hcfo.org/topics/consumer-behavior
[19] http://www.hcfo.org/topics/quality-care
[20] http://www.hcfo.org/publications/impact-medicaid-managed-care-utilization-obstetrical-care-evidence-tenncares-early-year
[21] http://www.hcfo.org/grants/evaluation-tenncare-health-reform-plan
[22] http://www.hcfo.org/topics/access
[23] http://www.hcfo.org/publications/medical-malpractice-reform-and-employer-sponsored-health-insurance-premiums
[24] http://www.hcfo.org/grants/medical-malpractice-reform-and-implications-health-insurance-costs
[25] http://www.hcfo.org/topics/legal-and-regulatory-environment
[26] http://www.hcfo.org/publications/will-choice-based-reform-work
[27] http://www.hcfo.org/grants/health-plan-selection-medicare-eligible-enrollees-federal-employees-health-benefits-program
[28] http://www.hcfo.org/publications/effects-tennessee-medicaid-managed-care-obstetrical-care-and-birth-outcomes
[29] http://www.hcfo.org/publications/changes-prenatal-care-timing-and-low-birth-weight-race-and-socioeconomic-status-implica
[30] http://www.hcfo.org/grants/impact-medicaid-managed-care-prenatal-use-and-birth-outcomes
[31] http://www.hcfo.org/publications/demand-health-insurance-group-setting-can-you-always-get-what-you-want
[32] http://www.hcfo.org/grants/guaranteed-renewability-individual-and-group-health-insurance-functioning-and-future-prospect
[33] http://www.hcfo.org/topics/purchasing
[34] http://www.hcfo.org/taxonomy/term/4/all
[35] http://www.hcfo.org/taxonomy/term/4/all?page=40
[36] http://www.hcfo.org/taxonomy/term/4/all?page=37
[37] http://www.hcfo.org/taxonomy/term/4/all?page=38
[38] http://www.hcfo.org/taxonomy/term/4/all?page=39
[39] http://www.hcfo.org/taxonomy/term/4/all?page=42
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