Correlates of Nonresponse in the 2012 and 2014 Medical Expenditure Panel Survey

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Correlates of Nonresponse in the 2012 and 2014 Medical Expenditure Panel Survey Frances M. Chevarley, Ph.D. William D. Mosher, Ph.D. 2018 FCSM Session I-4 March 9, 2018 1:45 to 3:30PM

MEPS Key Features U.S. civilian noninstitutionalized population In-person interviews of 14,000 families per year Average Round 1 interview length ~80 minutes per family Panel Survey new panel introduced each year 5 in-person interviews covering 2 calendar years for each person in sampled families Data from 1st year of new panel combined with data from 2nd year of previous panel

MEPS Key Features (Cont.) Each annual MEPS panel of households is a subsample of responding households (from prior year) of the National Health Interview Survey (NHIS) MEPS conducted by AHRQ using contractors Household Component (HC) Westat Medical Provider Component (MPC) RTI Insurance Component (IC) Census Used to estimate access to care, medical care utilization, and expenses Useful for informing policymakers, providers, and consumers

Background: HC Response rates by data collection year, 2009-2015 Round 1 Round 2 Round 3 Round 4 Round 5 2015 Panel 20 73.5 93.4 Panel 19 94.7 96.7 Panel 18 98.4 2014 Panel 19 71.8 93.6 Panel 18 94.5 97.1 Panel 17 98.5 2013 Panel 18 74.2 92.9 Panel 17 95.2 95.5 Panel 16 97.6 2012 Panel 17 78.2 94.2 Panel 16 96.1 97.3 Panel 15 98.2 2011 Panel 16 78.2 94.7 Panel 15 95.4 97 Panel 14 98.3 2010 Panel 15 73.5 92.2 Panel 14 94.9 96.8 Panel 13 97.9 2009 Panel 14 74.8 91.8 Panel 13 96.2 97 Panel 12 97.8

Background: MEPS Round 1 conditional response rates: 1996-2015 90 85 83.1 80 75 73.5 78.2 73.5 70 71.8 65 60

Background Declining R 1 response rates 1996 to 2010 General problem in many surveys Improving R 1 response rates 2011-2012 Focus on improving response rates o Increased incentives in 2011 (P16) to $50 (from $30) o Longer R1 field period in 2011 and 2012 26 weeks (from 23 weeks) R 1 response rates lower in 2013-2014 o Shift in focus on a quality initiative, shorter field periods and cost consideration stopping rules

Background: Number of Weeks in Field for MEPS Round 1, 2010-2015 Weeks in field Conditional response rate 2010 and earlier 23 Feb1-Jul 16 73.5* 2011, Panel 16 26 Jan 10-Jul 16 78.2** 2012, Panel 17 26 Jan 10-Jul 16 78.2 2013, Panel 18 24 Jan 10-June 30 74.2 2014, Panel 19 24 Jan 24-Jul 14 71.8 2015, Panel 20 24 Jan 24-Jul 14 73.5 * 2010 conditional response rate ** Weighted estimate. An interim nonresponse subsampling procedure was implemented.

Research Question What are variables that Field Managers can control that affect non-response rates? 2017 JSM presentation-- 2010 and 2012 R1 nonresponse rates o Compare effects of incentive and length of field period 2018 FCSM ANALYSIS 2012 and 2014 R1 nonresponse rates o compare effects of length of field periods and quality initiative and cost consideration stopping rules

Methods_Data NHIS public use file merged with MEPS Point in Time File (PIT) file PIT file has Round 1 data of current panel and Round 3 data of previous panel Round 1 nonresponse=sampled persons who were not MEPS PIT Round 1 responders

2018 FCSM Analysis Examine Round 1 non-response rates for 2011NHIS/2012MEPS and 2013NHIS/2014MEPS Bivariate descriptive analysis for 2012 & 2014 MEPS o SUDAAN Proc crosstab Multivariate logistic regression model for 2013NHIS/2014MEPS o Dependent variable: MEPS R1 non-responder o Independent variables: explanatory variables from NHIS o SUDAAN Proc rlogist

Research Variables Used NHIS Age Sex Region Education Race/Ethnicity Marital Status Number of Children Number of adults U.S. Born Citizenship Health Insurance Coverage Health status Family poverty ratio Health Care Spending/Yr NHIS completes vs. partials MEPS PIT responder: response vs. non-response

Bivariate descriptive analysis 2012 and 2014 non-response rates NR rates increased for all persons from 25.9% in 2012 to 32.9% in 2014 (7 percentage point increase) NR rates increased or remained the same for all identified subgroups (NHIS variables previous yr) Largest percentage point increases GE 2000 to LT 3000 HC spending (10.1 ) Poverty ratio GE 300 to LT 400 (9.4) 4-yr college grads (9.0) Widowed/Divorced/Separated (8.9) Not Covered by health insurance (8.9) GE 3000 HC spending (8.8) West region (8.6)

Bivariate descriptive analysis 2012 and 2014 nonresponse rates No significant increases for (NHIS variables): Non-citizens Zero healthcare spending

2012 and 2014 Nonresponse by HC Spending: rates & confidence intervals 45.0 40.0 35.0 30.0 32.3 35.0 34.8 25.0 20.0 26.5 27.5 25.0 24.9 26.0 Upper CI Lower CI 15.0 nonresponse 10.0 5.0 & Sign change 2012 to 2014 0.0 2012 2014 2012 2014 2012 2014 2012 2014 Zero LT 2000& [2000,3000)& 3000+ &

2012 and 2014 Nonresponse by Education: rates & confidence intervals 45.0 40.0 35.0 30.0 25.0 20.0 21.4 25.7 26.1 33.4 28.9 37.9 24.5 30.6 Upper CI Lower CI 15.0 nonresponse 10.0 5.0 & Sign change 2012 to 2014 0.0 2012 2014 2012 2014 2012 2014 2012 2014 < HS& HS grad& 4-yr college& < 25 yrs&

2012 and 2014 Nonresponse by Marital Status: rates & confidence intervals 40 35 30 25 20 15 10 5 22.1 27.8 28.7 35.9 22.7 31.6 24.7 33.5 Upper CI Lower CI nonresponse & sign change 2012-2014 0 2012 2014 2012 2014 2012 2014 2012 2014 Under age 14& Married& Wid/Div/Sep& Never married&

2012 and 2014 Nonresponse by Health Insurance: rates & confidence intervals 40 35 36.4 30 25 20 15 28.8 16.6 20.2 26.1 30.8 21.4 30.3 Upper CI Lower CI nonresponse 10 5 & Sign change 2012 to 2014 0 2012 2014 2012 2014 2012 2014 2012 2014 Any private& Medicaid, no private& Other& Not covered&

2010, 2012 and 2014 Nonresponse by Region: rates & confidence intervals 45.0 40.0 35.0 30.0 25.0 20.0 27.0 34.8 26.9 32.6 26.2 32.5 23.8 32.4 Upper CI Lower CI 15.0 nonresponse 10.0 5.0 * Sign change 2012 to 2014 0.0 2012 2014 2012 2014 2012 2014 2012 2014 Northeast& Midwest& South& West&

2012 and 2014 Nonresponse for NHIS Completes and Partials: rates & confidence intervals 60 50 44.9 40 37.7 Upper CI 30 20 22.7 29.4 Lower CI nonresponse 10 & sign change 2012 to 2014 0 2012 2014 2012 2014 Completes& Partials&

Logistic regression model NHIS2013/2014MEPS Predict MEPS nonresponse Included NHIS variables with significant chisquare values in 2012NHIS/2014MEPS binary analysis

Research Variables Included in the Model (Identified with *) NHIS Age* Sex Region Education* Race/Ethnicity* Marital Status* Number of Children* Number of adults U.S. Born Citizenship* Health Insurance Coverage* Health status* Family poverty ratio* Health Care Spending* NHIS completes vs. partials* MEPS PIT responder: response vs. non-response

Logistic Regression Results Nonresponse did not vary by: Marital status Citizenship Health care spending Nonresponse did vary by: Age Race/Ethnicity Education Number of Children Health insurance coverage Poverty ratio Health status NHIS completeness status

Logistic Regression Results adjusted odds ratios NHIS Partials (vs. Completes) Partials 1.91* Poverty Ratio (vs. GE 0 and LT 200) GE 200 and LT 300 1.21 GE 300 and LT 400 1.44* GE 400 1.55* Health Insurance (vs. Medicaid no private) Any Private 1.43* MCARE no Priv/MCAID 1.23* Not covered 1.49* Race/Ethnicity (vs NH Black) Hispanic 1.23* NH White/Other 1.46* * Denotes significance of coefficient β

Logistic Regression Results odds ratios Number of children (vs. 1+) No children 1.31* Reported health status (vs. Fair, Poor) Exc, VG, G 1.25* Education (vs. < HS) HS grad 1.08 College grad 1.08 Under age 25 0.70* Age (vs. 0-17)) 18-24 yrs 1.11 25-64 yrs 0.51* 65+ yrs 0.60* * Denotes significance of coefficient β

Usefulness to Field Managers Knowing characteristics of sample persons and which ones are more likely to respond may help the Field Managers tailor field operations Field Managers may tell Interviewers to contact specific cases first (w/o identifying the reason) depending on the NHIS characteristics of the cases Interviewers having basic information about cases my help field efficiency Field Managers may want to restrict certain information because of the Interviewer tendency to want to do the easiest cases first which is not the best way to maximize response.

Usefulness to Field Managers IMPLICATIONS: the shorter field period and stable incentive suggests the inability to LOCATE (contact) may be a problem for some cases (Something to look into) IMPORTANCE: Non-response does not vary by amount of spending on medical care

Thank you! MEPS Website: http://meps.ahrq.gov/ Contact: Frances M. Chevarley William D. Mosher Email: fran.chevarley@ahrq.hhs.gov wmosher1@jhu.edu