S8_Cohen

The Impact of Survey Design Modifications on Health Care Utilization Estimates in a

National Longitudinal Health Care Survey

Steven B. Cohen, Ph.D.

Trena Ezzati-Rice, M.S.

Marc Zodet, M.S.

Presentation

Need for essential data on health care utilization to inform health care policy and practice

Description of the Medical Expenditure Panel Survey

(MEPS): purpose, design and analytical capacity

Nonresponse and post-stratification adjustments

Recent survey design modifications:

(1) CAPI upgrade; (2) Sample Redesign

Evaluation of impact of design modifications on health care utilization estimates

Impact of design modifications on model-based analyses of health care use

Discussion

Medical Expenditure Panel

Survey (MEPS)

Annual Survey of 14,000 households: provides national estimates of health care use, expenditures, insurance coverage, sources of payment, access to care and health care quality

Permits studies of:

 Distribution of expenditures and sources of payment

 Role of demographics, family structure, insurance

 Expenditures for specific conditions

 Trends over time

Key Features of MEPS-HC

Survey of U.S. civilian noninstitutionalized population

Sub-sample of respondents to the National Health

Interview Survey (NHIS)

Oversample of minorities and other target groups

Panel Survey – new panel introduced each year

– Continuous data collection over 2 ½ year period

– 5 in-person interviews (CAPI)

– Data from 1st year of new panel combined with data from 2nd year of previous panel

MEPS Overlapping Panels

(Panels 13 and 14)

MEPS Household

Component

MEPS Panel 13 2008-

2009

NHIS

2007

1/1/2008

Round 1

1/1/2009

Round 2 Round 3 Round 4 Round 5

NHIS

2008

Round 1 Round 2 Round 3 Round 4 Round 5

MEPS Panel 14

2009-2010

HC - Purpose

Estimates annual health care use and expenditures

Provides distributional estimates

Supports person and family level analysis

Tracks changes in insurance coverage and employment

Longitudinal design; linkage to National

Health Interview Survey (NHIS)

Tool Chest of Methods to Maximize

Survey Response

Recruitment of experienced interviews and bilingual

10+ days training (including procedures for obtaining signed consents)

Uses of MEPS data as reference materials for interviewers

Periodic retraining and special trainings (e.g. methods to improve response rates)

Respondent remuneration

Advance mailings from co-sponsors of survey

Monthly planning calendar and MEPS DVD

Daily emails to interviewers regarding interviewing progress

Multiple contacts for refusal conversions

MEPS Response Rates

 Multiplicative response rates (RR): product of

NHIS RR and

MEPS RR (multiplicative function of round specific

RR):

MEPS rounds 1-3 of new panel (YR1 estimates)

MEPS rounds 3-5 of old panel (YR2 estimates)

MEPS Response Rates

(RR)

Overall annual RR (~65%)

Highest RR 1 st year, new panel (~66-71%)

Lowest RR 2 nd year, old panel (~63-65%)

Post-survey nonresponse adjustments

Dwelling unit level

Person level survey attrition

NHIS variables used as potential covariates in forming DU

NR adjustment cells

Demographic

Age

Household

Characteristic

DU size

Socio-

Economic

Status

Geographic Health

Poverty status Census region Health status

Race/ethnicity Has phone Education

Marital status Working/reason not work (e.g., attending school, retired, etc,)

Gender Type of PSU

Income

Employment status

MSA size

MSA/nonMSA

Need help

Urban/Rural

Any Asian

Any Black

NEW NHIS variables added as potential covariates in forming DU NR adjustment cells

Demographic

Household

Characteristic

Socio-

Economic

Status

Interview language

Type of home – house, Apt., etc.

Category of medical expense

U.S. Citizenship Time no phone Home ownership

Health

Number of nights in hospital

Healthcare coverage

Born in US

Adjustment factor

Within each adjustment cell:

A(c) =

 i

 c

 i

 c

E ( i ) W 1 ( i )

R ( i ) W 1 ( i ) ratio of the sum of weights of all eligible (E) units in the cell to the sum of weights of only the respondents (R) in the cell

Person Level Adjustments:

Annual Estimates

Each panel weighted separately

Nonresponse adjustment for survey attrition

Final Poststratification adjustment –

CPS 12/31: age, race/ethnicity, sex, region, MSA status, poverty status

Person Level (survey attrition)

Nonresponse Adjustment Covariates

 Factors associated with survey attrition (after R1)

– Indicator for initial refusal to R1interview

Family size

Age

MSA, census region

Marital status (family reference person)

Race/ethnicity

Education of reference person

Employment status

Health insurance status

Total expenditures (in yr 1 for yr 2 adj.)

# doctor visits (in yr 1)

Self reported health status

Longitudinal Estimation Strategy

2009

Round 1 Round 2

2010

Round 3 Round 4 Round 5

Individuals in the

2009 sample with positive weights that left the civilian population prior to

2010, with no return

&

2009 sample also responding in

2010 with complete information for both 2009 and

2010

MEPS Redesign in 2007

Re-engineered CAPI Interview: Windows-based

Platform replaces DOS-based system for Panel 12

New NHIS Sample Design Introduced in 2006: MEPS

Panel 12 selected from redesigned NHIS sample

Year 2 of MEPS Panel 11 based on original MEPS survey design

The overlapping panel structure in MEPS allows for a comparison of survey estimates across the alternative designed for the same time period

Evaluation of Concordance of Healthcare

Utilization Estimates: Comparison of results from new and original designs

MEPS has overlapping panel design: 1st year of new panel combined with data from 2nd year of previous year’s panel to yield annual data

Multiplicative response rates: product of NHIS RR and

MEPS RR (multiplicative function of round specific RR:

3 rounds for new panel/5 rounds for old panel)

Detailed adjustments for survey nonresponse and poststratification:

Compare 2007 health care utilization estimates based on new design (MEPS Panel 12 – Year 1) with original design (MEPS Panel 11-Year 2)

Testing for Survey Redesign Effects

Comparisons of panel specific national health care utilization estimates derived from the MEPS for the following health care

 services:

 ambulatory visits (office- based visits and outpatient facility visits) in-patient stays

ER visits dental visits prescribed medicine purchases

For the overall population, and further subset by age classification (0-17, 18-64, 65+)

 Model-based tests for survey redesign effects

Capacity of MEPS to Produce

Comparable NHIS Estimates of

Health Care Utilization

The following NHIS measures of health care utilization were selected in support of these analyses:

 Have you been hospitalized OVERNIGHT in the past 12 months?

(yes; no; refused/not ascertained/DK)

 How many different times did you stay in any hospital overnight or longer DURING THE PAST 12 MONTHS? (#; refused/not ascertained/DK)

 Altogether how many nights were you in the hospital DURING THE

PAST 12 MONTHS? (#; refused/not ascertained/DK)

 During the past 12 MONTHS did you receive care from doctors or other health care professionals 10 or more times? Do not include telephone calls. (yes; no; refused/not ascertained/DK)

 DURING THE PAST 12 MONTHS, have you delayed seeking medical care because of worry about the cost? (yes; no; refused/not ascertained/DK)

 DURING THE PAST 12 MONTHS, was there any time when you needed medical care, but did not get it because you/the family couldn't afford it? (yes; no; refused/not ascertained/DK)

Options for aligning redesign-based estimates with the original design

Option

Period of

Applicability

Restrict time trend analyses to sample with old design

Implementation of measure specific adjustments to a set of estimation weights

Implementation of

“bridging” adjustments to the primary survey estimation weight

No additional adjustments for redesign

Year(s) with overlap between redesign and prior design

When the survey redesign is implemented and subsequent years

When the survey redesign is implemented and subsequent years

When the survey redesign is implemented and subsequent years

Constraints

Loss in precision

Introduction of greater variability in resultant survey estimates ; complicates model based analyses

Dependence on within survey adjustments or availability of comparable external data source for national control totals

Possibility of differences detected in trends partially attributable to redesign

Summary

Need for accurate and reliable national data on health care utilization to inform policy and practice

MEPS design features and analytical capacity

Statistical, methodological and operational design features to adjust for nonresponse and attrition

Evaluation of impact MEPS redesign on health care utilization estimates

Impact on model based studies

Some evidence of redesign effect

Strategies to Improve

Accuracy

MEPS includes a linked survey of medical providers for expenditures: use of medical event information to evaluate household reports of health care use

MEPS data periodically linked to Medicare claims data for evaluations: permits examination of accuracy of household reported data

Implement additional improvements to the CAPI interview and enhanced post-survey adjustment strategies