Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading...

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Redesign of the National Survey of Children’s Health Population, Family and Reproductive Health Noon Seminar Johns Hopkins Bloomberg School of Public Health February 22, 2017 Reem M. Ghandour, DrPH, MPA U.S. Department of Health and Human Services Health Resources and Services Administration | Maternal and Child Health Bureau Jason Fields, PhD, MPH U.S. Department of Commerce Economic and Statistics Administration | U.S. Census Bureau

Transcript of Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading...

Page 1: Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading health indicators: How children with special health care needs fared (2013) American

Redesign of the National Survey of Children’s Health Population, Family and Reproductive Health Noon Seminar Johns Hopkins Bloomberg School of Public Health February 22, 2017

Reem M. Ghandour, DrPH, MPA U.S. Department of Health and Human Services

Health Resources and Services Administration | Maternal and Child Health Bureau

Jason Fields, PhD, MPH U.S. Department of Commerce

Economic and Statistics Administration | U.S. Census Bureau

Page 2: Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading health indicators: How children with special health care needs fared (2013) American

Outline

1. Brief overview of the National Surveys • History and Uses

2. Redesign of the National Survey of Children’s Health • Rationale, Process, and Design • Content

3. Implementation & Status Update

4. Future Directions & Lessons Learned • Design and Content • Summary

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Page 3: Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading health indicators: How children with special health care needs fared (2013) American

Overview National Survey of Children’s Health (NSCH) National Survey of Children with Special Health Care Needs (NS-CSHCN)

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NSCH/NS-CSHCN History and Purpose

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National Survey of Children’s Health:

• Produce national and State-based estimates of the health and well-being of children ages 0-17 years, their families, and their communities.

• 2003, 2007, 2011-12

National Survey of Children with Special Health Care Needs:

• Assess the prevalence and impact of special health care needs among children ages 0-17 years in the U.S., and to evaluate change over time.

• 2001, 2005-06, 2009-10

Common Elements: • Historically directed and funded by HRSA MCHB and fielded by the CDC/NCHS as

a module of SLAITS as a RDD telephone survey (landline + cell-phone samples) • Produced both national and state-level estimates • All data are parent/care-giver reported

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NSCH/NS-CSHCN History and Uses

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• Title V Maternal and Child Health Services Block Grant needs assessments and funding applications;

• State-level planning and program development

• Federal policy and program development

• Healthy People 2010/2020 Objectives

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NSCH/NS-CSHCN History and Uses (cont.)

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• Scientific research: • Conditions:

• Blumberg, S.J., Bramlett, M.D., Kogan, M.D., Schieve, L.A., Jones, J.R., Lu, M.C. Changes in prevalence of parent-reported autism spectrum disorder in school-aged U.S. children: 2007 to 2011-2012 (2013) National health statistics reports, (65), pp. 1-11.

• Systems Indicators: • Strickland, B.B., Jones, J.R., Newacheck, P.W., Bethell, C.D., Blumberg, S.J., Kogan, M.D.

Assessing Systems Quality in a Changing Health Care Environment: The 2009–10 National Survey of Children with Special Health Care Needs (2014) Maternal and Child Health Journal, 19 (2), pp. 353-361.

• Life Course Measures: • Bethell, C.D., Newacheck, P., Hawes, E., Halfon, N. Adverse childhood experiences:

Assessing the impact on health and school engagement and the mitigating role of resilience (2014) Health Affairs, 33 (12), pp. 2106-2115.

• State-level Analyses: • Visser, S.N., Blumberg, S.J., Danielson, M.L., Bitsko, R.H., Kogan, M.D. State-based and

demographic variation in parent- reported medication rates for attention- deficit/hyperactivity disorder, 2007-2008 (2013) Preventing Chronic Disease, 10 (1),

• Policy Analyses: • Ghandour, R.M., Grason, H.A., Schempf, A.H., Strickland, B.B., Kogan, M.D., Jones, J.R.,

Nichols, D. Healthy people 2010 leading health indicators: How children with special health care needs fared (2013) American Journal of Public Health, 103 (6), pp. e99-e106.

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Redesign of the National Survey of Children’s Health

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2016 NSCH Redesign: Rationale and Goals

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The purpose of the redesign is fourfold:

1. To shift the survey’s sampling frame from landline and cell phone numbers to household addresses.

2. To shift mode of administration from an interviewer-administered survey via telephone to a self-administered survey via web and paper.

3. To combine the NSCH and NS-CSHCN into a single instrument.

4. To provide more timely data.

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2016 NSCH Redesign: Process Highlights

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• National Center for Education Statistics • Don Dillman • Stephen Blumberg

Learn from Experts

• Annual Meetings • Targeted content workgroups

Technical Expert Panel

• NORC – Cognitive Testing & Mode Effects Experiments (2013-2015) • Census – National Pretest (2015-2016) & Production Survey (2016-2017) • DSFederal/ICF International – critical review of data collection instruments & sampling,

weighting and imputation plans for the Production Survey (2015-2016)

Contracts & IAAs

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2016 NSCH Redesign: Key Decisions

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• A single, combined survey will be fielded annually; new state-level estimates will be available bi-annually

• The redesigned survey will retain a two-phase administration: A “Screener” to determine child demographics and SHCN status followed by an age-specific “Topical” survey

• An Addressed-Based Sampling (ABS) frame will be utilized to improve response rates and support non-response bias analyses

• The majority of interviews will be conducted via a self-directed

response mode (web-push + mail)

• Content added on a variety of topics, including aspects of being “Healthy and Ready to Learn”, food sufficiency, and behavioral treatment for ADHD, etc

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2016 NSCH Production Survey Design: Overview

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• Launch June 2016 – Concluded February 10, 2017

• Goal Sample = 364,153 HH 76,500 completed topicals • 1,500 per state, including 300 CSHCN

• Experiments: • Incentives: $0, $2, vs. $5 • Letterhead: Census vs. MCHB → Adaptive design to differentially target “High” and “Low” Web HH → Adaptive use of a new administrative flag to identify HH with children

• Public data available Summer 2017 • New National estimates available annually • New State estimates every two/three years

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• General health status • General oral health • Flourishing • Activity limitations • Condition lists • ASD & ADD/ADHD

content • Height & Weight

General Health

• PTB • LBW

Infant Health

• Preventive care • Usual place for

sick/well care • Receipt of specialist

care • Unmet needs • Developmental

screening

Health Care Services

• Medical home • Shared decision-

making

Experience with Health

Care Providers

• Status • Type • Adequacy

Health Insurance

• Expenses & problems paying • Employment & care-giving

burden Providing for Your Child’s

Health

• Screen time, physical activity, & sleep

• Extracurricular & family activities

• Child care • Parenting stress • Family resilience • ACEs

About Your Family and Household

• Amenities • Social support

About Your Neighborhood &

Community

Screener 0-5 Years 6-11 Years 12-17 Years

2016 NSCH Content: Core Content Areas

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Changes to content made for 6 reasons: 1. Changes to be consistent with other Federal policy/programs

(i.e., physical activity; ACS-6) 2. Changes in the field or our understanding of a topic/question

(i.e., transition, ADHD treatment, delayed care) 3. Combining content from two surveys ► limited space 4. Transition to paper/pencil from telephone interview ► limited

ability to convey nuances and provide respondents with clarifying information

5. Focus on Bureau priorities and tie to MCH 3.0 6. Addition of content to reflect emerging priorities, i.e., school

readiness

2016 NSCH Content Changes: Criteria

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Implementation & Status Update

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2016 NSCH Production Survey: Status Update: Current Response Rate

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Response rate is significantly lower than expected:

Response Pretest Target Oct. 31 Dec. 21 Jan. 10

Median Expected

(and range as of Oct. 31)

Screener Completion 78.8% 58.8% 40.1% 45.5% 45.6% 43.9% (41.3-46.5%)

(Percent of occupied sample households that complete a screener)

Topical Completion 56.2% 45.3% 26.0% 27.2% 31.8% 31.1% (27.5-35.8%)

(Percent of occupied households with children that complete a topical)

Net Response Rate 31.8%

(Product of screener completion and the percent of screeners with children that completed a topical)

Total Response Rate 71.6% 52.3% 33.6% 36.5% 38.8% 38.8% (35.0-41.7%)

(percent of occupied residences that completed their participation in the survey – a completed screener for households without children, a completed topical for households with children)

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2016 NSCH Production Survey: Status Update: Current Response Rate

Key Issues: • Screener completion rate is about half of that of Pretest (78.8%

v. 45.5%) • Pretest sample was higher education/income • Pretest sample received higher incentive ($5 and $10 v. $0, $2, and

$5) • Election cycle political environment (all surveys struggling)

• Similar to ACS mail and internet response

• ACS is mandatory

• Higher than anticipated reliance on paper responses delaying completion of data collection

• “High-web” and “Low-web” demarcation did not operate as expected, i.e., Low-web was closer to non-response and “High-web” did not always prefer web

• Data collection plan didn’t account for heavier reliance on paper returns, i.e., waited too long to send paper instruments out

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Page 17: Redesign of the National Survey of Children’s Health · Nichols, D. Healthy people 2010 leading health indicators: How children with special health care needs fared (2013) American

2016 NSCH Production Survey: Status Update: Mail and Internet Returns Compared with ACS

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25.6% 23.6% 27.6% 28.3% 28.3% 28.1% 27.5% 26.4% 24.5%

12.7%

9.1%

18.1% 17.5% 17.3% 17.3% 17.0% 16.0%

10.8%

0%5%

10%15%20%25%30%35%40%45%50%

ScreenerReturns

TotalReturns

June July August September October November December

NSCH ACS Returns

Comparing NSCH and ACS Returns

Internet Mail

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• Oversampling of households likely to have children based on linkages of children’s Social Security Numbers to families and addresses

Motivation:

• Improved sampling efficiency and reduction of survey costs Primary Information Sources:

• Numident: a list of Social Security Number applicants • CARRA Kidlink file: a prototype linkage between children and parents based on Census

and administrative records • Master Address File Auxiliary Reference File (MAF-ARF): a file that links person

identifiers with the latest location updates from a variety of administrative data Method:

• Utilize the Title 13 Census Master Address File (MAF) as a sampling foundation and leverage administrative records to indicate the presence of children at a MAF-ID

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NSCH Innovations: Administrative Data

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• Customized survey recruitment based on Census tract-level information on likelihood of web response

Motivation:

• Tailor contact and recruitment strategies based on likelihood of internet response and reduce survey cost and burden

Primary Information Sources: • Two data sources

• ACS paradata on whether respondents used Internet submission (tract-level, 2013-2014 survey years)

• IRS 1040 data on whether households file electronically but without a paid preparer (block-level, 2014 tax year)

Method: • Create a low-Internet-accessibility flag

• Use principal components analysis • Find the (standardized) scalar variable that maximizes the variation of linear

combinations of the two data sources • Census blocks with access index below 30th percentile of the access index distribution

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NSCH Innovations: Administrative Data

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Future Directions

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2017 NSCH Production Survey: New Directions – Design and Administration

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• Differential sampling strategies by geography (and state) based on 2016 returns

• Sample and weight based on propensity to respond and likelihood of households with children

• Identify areas that are high-paper and adjust contact strategy accordingly

• Improved targeting of households in Stratum 2 • Create 3 Strata: Stratum 1 retained; Stratum 2 split to improve targeting of

non-flagged households (those with children and those without) • 24% of households to Stratum I (78% households with children) • 11% to Stratum IIa (28% households with children) • 65% of households, fall into Stratum IIb (6% households with children)

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2017 NSCH Production Survey: New Directions – Design and Administration

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• Incentivize use • Continue $2 incentive for majority of screener invitations • Add incentive for paper topical mailings

• Changes to mailing procedures:

• Proceed more quickly to paper from web invitations • Paper and web invitations immediately for the lowest 30% of

tracts • Take advantage of Census’ new capability to send out reminders

using pressure-sealed mailers • Add informational fact sheet to first mailing • Decrease time between mail contacts

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Erred on side of minimal changes for comparison purposes! Revisions:

• Minimal adjustments to “skip” patterns; Minor wording changes as necessary; Change from 4-category to 5-category response options throughout “Healthy and Ready to Learn” section;

Deletions:

• Detailed income item capturing sources of all income Pretest data indicate this item had the highest breakoff rate.

• Preschool suspension/expulsion Funding not available from sponsor.

2017 NSCH Production Survey: New Directions – Content

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New Content: • Environmental Health

• Frequency of pesticide use inside or outside (in close proximity) of the child’s residence (past 12 months)

• Presence of mold, mildew or other signs of water damage on walls or other surfaces inside home (past 12 months)

• Military deployment (ever/current) experienced by Adult 1 and/or Adult 2.

2017 NSCH Production Survey: New Directions – Content

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2016 and 2017 NSCH Surveys Summary & Next Steps

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1. 2016 was a “building” year and we are working with Census to ensure the timely and accurate release of data for the nation and our Title V partners.

2. The lower response rate is not entirely explainable, but we have identified a number of ways to improve and tighten the sampling and contact strategies that should drive response rates and representativeness in the right direction.

3. OER is running data checks on preliminary files now and should have a sense (soon) if the data are consistent with expectations. JHU Data Resource Center running checks on Pretest data.

4. OER in partnership with JHU Data Resource Center is working on the development of wrap-around materials to support data users.

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Contact Information Reem M. Ghandour, DrPH, MPA

Director, Division of Epidemiology Office of Epidemiology and Research Maternal and Child Health Bureau Health Resources and Services Administration Email: [email protected] Tel: 301-443-3786 Web: mchb.hrsa.gov Twitter: twitter.com/HRSAgov Facebook: facebook.com/HHS.HRSA

Jason Fields, PhD, MPH Survey Director – SIPP – NSCH – NSSRN Demographic Directorate - Survey Operations U.S. Census Bureau Economic and Statistics Administration Email: [email protected] Tel: 301-763-2465 Web: www.census.gov