1932

Abstract

Rich federal data resources provide essential data inputs for monitoring the health and health care of the US population and are essential for conducting health services policy research. The six household surveys we document in this article cover a broad array of health topics, including health insurance coverage (American Community Survey, Current Population Survey), health conditions and behaviors (National Health Interview Survey, Behavioral Risk Factor Surveillance System), health care utilization and spending (Medical Expenditure Panel Survey), and longitudinal data on public program participation (SIPP). New federal activities are linking federal surveys with administrative data to reduce duplication and response burden. In the private sector, vendors are aggregating data from medical records and claims to enhance our understanding of treatment, quality, and outcomes of medical care. Federal agencies must continue to innovate to meet the continuous challenges of scarce resources, pressures for more granular data, and new multimode data collection methodologies.

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2018-04-01
2024-03-28
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Literature Cited

  1. Adrion ER, Ryan AM, Seltzer AC, Chen LM, Ayanian JZ, Nallamothu BK. 1.  2016. Out-of-pocket spending for hospitalizations among nonelderly adults. JAMA Intern. Med. 176:91325–32 [Google Scholar]
  2. 2. AHRQ (Agency Healthc. Res. Qual.). 2015. Data file types: household component—National Health Interview Survey linked files AHRQ Rockville, MD: https://meps.ahrq.gov/mepsweb/data_stats/more_info_download_data_files.jsp#hc-nhis
  3. 3. AHRQ (Agency Healthc. Res. Qual.). 2015. Medical Expenditure Panel Survey: MEPS-HC sample sizes AHRQ Rockville, MD: https://meps.ahrq.gov/survey_comp/hc_sample_size.jsp
  4. Baker LC, Bundorf MK, Devlin AM, Kessler DP. 4.  2016. Medicare Advantage plans pay hospitals less than traditional Medicare pays. Health Aff 8:351444–51 [Google Scholar]
  5. Baker LC, Bundorf MK, Royalty AB, Levin Z. 5.  2014. Physician practice competition and prices paid by private insurers for office visits. JAMA 312:161653–62 [Google Scholar]
  6. Borah BJ. 6.  2016. Optum labs overview Prev. Comm. Meet., May 13 Mayo Clin. Coll. Med. Rochester, MN: https://www.allianceforclinicaltrialsinoncology.org/main/cmsfile?cmsPath=/Public/Annual%20Meeting/files/Prevention-Optum%20Labs%20Overview.pdf
  7. Cao J. 7.  2016. IBM buying Truven for $2.6 billion to amass more health data. Bloomberg Feb. 18. https://www.bloomberg.com/news/articles/2016-02-18/ibm-to-acquire-truven-health-analytics-for-2-6-billion [Google Scholar]
  8. 8. CDC (Cent. Dis. Control Prev.). 2016. Methodologic changes in the Behavioral Risk Factor Surveillance System in 2011 and potential effects on prevalence estimates. MMWR Weekly 6122410–13 [Google Scholar]
  9. Cohen RA, Zammitti EP, Martinez ME. 9.  2017. Health insurance coverage: early release of estimates from the National Health Interview Survey, 2016 May Natl. Cent. Health Stat Hyattsville, MD: https://www.cdc.gov/nchs/data/nhis/earlyrelease/insur201705.pdf
  10. Cooper Z, Craig SV, Gaynor M, Van Reenen J. 10.  2015. The price ain't right? Hospital prices and health spending on the privately insured NBER Work. Pap. w21815. http://www.nber.org/papers/w21815.pdf
  11. 11. Data Link. Team. 2015. Comparative analysis of the NHIS public-use linked mortality files: 2015 public-use data release Feb, Natl. Cent. Health Stat. Hyattsville, MD: https://www.cdc.gov/nchs/data/datalinkage/nhis-public-restr-2011lmf-2-3-15.pdf [Google Scholar]
  12. 12. Data Link. Team. 2016. Linked mortality files citation list Dec. 16 Natl. Cent. Health Stat Hyattsville, MD: https://www.cdc.gov/nchs/data/datalinkage/linked_mortality_files_citation_list_12_2016.pdf
  13. Day HR, Parker JD. 13.  2013. Self-report of diabetes and claims-based identification of diabetes among Medicare beneficiaries. Natl. Health Stat. Rep. No. 69. https://www.cdc.gov/nchs/data/nhsr/nhsr069.pdf
  14. Dor A, Koroukian SM, Grossman M. 14.  2004. Managed care discounting: evidence from the MarketScan database. Inquiry 2:41159–69 [Google Scholar]
  15. Dranove D, Garthwaite C, Ody C. 15.  2014. Health spending slowdown is mostly due to economic factors, not structural change in the health care sector. Health Aff 33:81399–406 [Google Scholar]
  16. Dunn A, Liebman E, Pack S, Shapiro AH. 16.  2013. Medical care price indexes for patients with employer‐provided insurance: nationally representative estimates from MarketScan data. Health Serv. Res. 48:31173–90 [Google Scholar]
  17. Evans-Lacko SE, dosReis S, Kastelic E, Riley AW. 17.  2011. Mental health service use before and after diagnosis of early-onset bipolar disorder. J. Behav. Health Serv. Res. 38:3398–413 [Google Scholar]
  18. 18. FAIR Health. 2016. The Opioid Crisis Among the Privately Insured: The Opioid Abuse Epidemic as Documented in Private Claims Data New York: FAIR Health https://s3.amazonaws.com/media2.fairhealth.org/whitepaper/asset/FH%20White%20Paper%20-%20The%20Opioid%20Crisis%20among%20the%20Privately%20Insured%20-%20July%202016-5972409963cf3.pdf
  19. 19. FAIR Health. 2017. FAQs FAIR Health New York: https://www.fairhealth.org/faqs
  20. 20.  Deleted in proof
  21. Friedson A, Marier A. 21.  2017. Mandated health insurance and provider reimbursement via private insurance: evidence from the Massachusetts health reform. Health Serv. Res. Manag. Epidemiol.41–6 [Google Scholar]
  22. Friedson AI. 22.  2017. Medical malpractice damage caps and provider reimbursement. Health Econ 26:1118–35 [Google Scholar]
  23. Gibson TB, Song X, Alemayehu B, Wang SS, Waddell JL. 23.  et al. 2010. Cost sharing, adherence, and health outcomes in patients with diabetes. Am. J. Manag. Care 16:8589–600 [Google Scholar]
  24. Gindi R, Cohen RA. 24.  2012. Assessing measurement error in Medicare coverage from the National Health Interview Survey. Medicare Medicaid Res. Rev. 2:2mmrr.002.02.a05 [Google Scholar]
  25. Golberstein E, Gonzales G. 25.  2015. The effects of Medicaid eligibility on mental health services and out‐of‐pocket spending for mental health services. Health Serv. Res. 50:61734–50 [Google Scholar]
  26. Golden C, Driscoll AK, Simon AE, Judson DH, Miller EA, Parker JD. 26.  2015. Linkage of NCHS population health surveys to administrative records from Social Security Administration and Centers for Medicare & Medicaid Services. Natl. Cent. Health Stat. Vital Health Stat 1:58 https://www.cdc.gov/nchs/data/series/sr_01/sr01_058.pdf [Google Scholar]
  27. Gorina Y, Pratt LA, Kramarow EA, Elgaddal N. 27.  2015. Hospitalization, readmission, and death experience of noninstitutionalized Medicare fee-for-service beneficiaries aged 65 and over. Natl. Health Stat. Rep. No. 84. https://www.cdc.gov/nchs/data/nhsr/nhsr084.pdf
  28. Hanson LG, Chang S. 28.  2011. Health Research Data for the Real World: The MarketScan Databases Ann Arbor, MI: Truven Health Anal http://truvenhealth.com/portals/0/assets/PH_11238_0612_TEMP_MarketScan_WP_FINAL.pdf
  29. 29. HCCI (Health Care Cost Inst.). 2015. 2014 Health Care Cost and Utilization Report Washington, DC: HCCI http://www.healthcostinstitute.org/files/2014%20HCCUR%2010.29.15.pdf
  30. 30. HCCI (Health Care Cost Inst.). 2016. 2015 Health Care Cost and Utilization Report: Analytic Methodology v5.0 Washington, DC: HCCI http://www.healthcostinstitute.org/files/HCCI%202015%20Methodology%20v5.0%2011.22.16.pdf
  31. 31. HCCI (Health Care Cost Inst.). 2016. What makes HCCI Data unique? June, HCCI Washington, DC: http://www.healthcostinstitute.org/wp-content/uploads/2016/11/How-Data-Unique-June-2016_0.pdf
  32. 32. HCCI (Health Care Cost Inst.). 2017. About the HCCI data enclave March, HCCI Washington, DC: http://www.healthcostinstitute.org/wp-content/uploads/2017/03/About-the-HCCI-Data-Enclave-fact-sheet-March-2017.pdf
  33. 33. HCCI (Health Care Cost Inst.). 2017. Data contributors HCCI Washington, DC: http://www.healthcostinstitute.org/about-hcci/data-contributors/
  34. 34. HCCI (Health Care Cost Inst.). 2017. Member enrollment fields HCCI Washington, DC.: http://www.healthcostinstitute.org/wp-content/uploads/2017/01/HCCI_Data_Dictionary_2008-2014-1.10.17.pdf
  35. Herrera C, Hargraves J, Stanton G. 35.  2013. The impact of the Mental Health Parity and Addiction Equity Act on inpatient admissions Issue Brief 5 Feb. Health Care Cost Inst Washington, DC: http://www.healthcostinstitute.org/files/HCCI-Mental-Health-Parity-Issue-Brief.pdf
  36. Herrera CN, Gaynor M, Newman D, Town RJ, Parente ST. 36.  2013. Trends underlying employer-sponsored health insurance growth for Americans younger than age sixty-five. Health Aff 32:101715–22 [Google Scholar]
  37. Kamal-Bahl S, Briesacher B. 37.  2004. How do incentive-based formularies influence drug selection and spending for hypertension?. Health Aff 1:23227–36 [Google Scholar]
  38. Kleiner MM, Marier A, Park KW, Wing C. 38.  2016. Relaxing occupational licensing requirements: analyzing wages and prices for a medical service. J. Law Econ. 59:2261–91 [Google Scholar]
  39. Kleiner SA, White WD, Lyons S. 39.  2015. Market power and provider consolidation in physician markets. Int. J. Health Econ. Manag. 15:199–126 [Google Scholar]
  40. Lloyd PE, Helms VE. 40.  2016. NCHS-HUD Linked Data: Analytic Considerations and Guidelines July Hyattsville, MD: Natl. Cent. Health Stat https://www.cdc.gov/nchs/data/datalinkage/nchs_hud_analytic_considerations.pdf
  41. Loosveldt G, Dominique J. 41.  2016. Defining and assessing survey climate. The SAGE Handbook of Survey Methodology, C Wolf, D Joye, TW Smith, Y-C Fu, 67–76 London: SAGE [Google Scholar]
  42. Margolis J, Hockenberry J, Grossman M, Chou SY. 42.  2014. Moral hazard and less invasive medical treatment for coronary artery disease: the case of cigarette smoking NBER Work. Pap. w20373. http://www.nber.org/papers/w20373
  43. Miller PV. 43.  2017. Is there a future for surveys?. Public Opin. Q. 81:S1205–12 [Google Scholar]
  44. Mohanty SA, Woolhandler S, Himmelstein DU, Pati S, Carrasquillo O, Bor DH. 44.  2005. Health care expenditures of immigrants in the United States: a nationally representative analysis. Am. J. Public Health 95:81431–38 [Google Scholar]
  45. Montalbano A, Rodean J, Kangas J, Lee B, Hall M. 45.  2016. Urgent care and emergency department visits in the pediatric Medicaid population. Pediatrics 137:4e20153100 [Google Scholar]
  46. Moriarity C, Parsons V. 46.  2015. 2016 Sample redesign of the National Health Interview Survey Presented at Natl Conf. Health Stat, Aug24–26 Bethesda: https://www.cdc.gov/nchs/ppt/nchs2015/Moriarity_Tuesday_Salon_E_BB2.pdf
  47. Moriya AS, Vogt WB, Gaynor M. 47.  2010. Hospital prices and market structure in the hospital and insurance industries. Health Econ. Policy. Law. 5:4459–79 [Google Scholar]
  48. Nasseh K, Vujicic M, Glick M. 48.  2017. The relationship between periodontal interventions and healthcare costs and utilization: evidence from an integrated dental, medical, and pharmacy commercial claims database. Health Econ 26:4519–27 [Google Scholar]
  49. 49. NCHS (Natl. Cent. Health Stat.). 2000. 1997 National Health Interview Survey (NHIS) Public Use Data Release: NHIS Survey Description Hyattsville, MD: NCHS. ftp://ftp.cdc.gov/pub/health_statistics/nchs/dataset_documentation/nhis/1997/srvydesc.pdf
  50. 50. NCHS (Natl. Cent. Health Stat.). 2013. NCHS-CMS Medicare linked data: match rate tables NCHS Hyattsville, MD.: https://www.cdc.gov/nchs/data/datalinkage/cms_medicare_linked_data_match_rate_tables.pdf
  51. 51. NCHS (Natl. Cent. Health Stat.). 2014. NCHS-HUD linked data: match rate table 1 Natl. Cent. Health Stat. Hyattsville, MD: https://www.cdc.gov/nchs/data/datalinkage/hud_table_1.pdf
  52. 52. NCHS (Natl. Cent. Health Stat.). 2016. 2015 National Health Interview Survey (NHIS) Public Use Data Release: Survey Description Hyattsville, MD: NCHS. ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/srvydesc.pdf
  53. 53. NCHS (Natl. Cent. Health Stat.). 2016. NCHS data linked to CMS Medicare enrollment and claims files Updated Nov. 29 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/medicare.htm
  54. 54. NCHS (Natl. Cent. Health Stat.). 2016. NCHS data linked to HUD housing assistance program files Updated July 7 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/hud.htm
  55. 55. NCHS (Natl. Cent. Health Stat.). 2016. NCHS data linked to NDI mortality files Updated Dec. 21 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/mortality.htm
  56. 56. NCHS (Natl. Cent. Health Stat.). 2016. NCHS data linked to SSA Social Security benefit history files Updated March 29 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/ssa.htm
  57. 57. NCHS (Natl. Cent. Health Stat.). 2016. Restricted-use NCHS-HUD data Updated July 7 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/hud-restricted.htm
  58. 58. NCHS (Natl. Cent. Health Stat.). 2016. Restricted-use NCHS-SSA data Updated March 29 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/ssa-restricted.htm
  59. 59. NCHS (Natl. Cent. Health Stat.). 2017. 2018 Questionnaire redesign Updated Feb. 3 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/nhis/2018_quest_redesign.htm
  60. 60. NCHS (Natl. Cent. Health Stat.). 2017. About the National Health Interview Survey Updated July 11 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/nhis/about_nhis.htm
  61. 61. NCHS (Natl. Cent. Health Stat.). 2017. National Health Interview Survey Updated Sept. 21 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/nhis/
  62. 62. NCHS (Natl. Cent. Health Stat.). 2017. Restricted-use NCHS-CMS Medicare data Updated Feb. 8 NCHS Hyattsville, MD: https://www.cdc.gov/nchs/data-linkage/medicare-restricted.htm
  63. Nicholson S. 63.  2012. Research opportunities of a new private health insurance claims data set. Health Manag. Policy Innov. 1:137–41 [Google Scholar]
  64. 64. Optum. 2015. Real World Health Care Experiences Eden Prairie, MN: Optum https://www.optum.com/content/dam/optum/resources/productSheets/5302_Data_Assets_Chart_Sheet_ISPOR.pdf
  65. Pascale J. 65.  2016. Modernizing a major federal government survey: a review of the redesign of the current population survey health insurance questions. J. Off. Stat. 32:2461–86 [Google Scholar]
  66. Planalp C, Sonier J, Turner J. 66.  2014. Using recent revisions to federal surveys for measuring the effects of the Affordable Care Act SHADAC Brief 41, May State Health Access Data Assist. Cent. (SHADAC), Minneapolis http://www.shadac.org/sites/default/files/publications/FINAL_SHADAC_Brief_41.pdf
  67. Rivera Drew JA, Flood S, Warren JR. 67.  2014. Making full use of the longitudinal design of the Current Population Survey: methods for linking records across 16 months. J. Econ. Soc. Meas. 39:3121–44 [Google Scholar]
  68. Ryu AJ, Gibson TB, McKellar MR, Chernew ME. 68.  2013. The slowdown in health care spending in 2009–11 reflected factors other than the weak economy and thus may persist. Health Aff 32:5835–40 [Google Scholar]
  69. Smith WR. 69.  2015. The 2011 National Household Survey—the complete statistical story June 4 Stat. Can Ottawa: http://www.statcan.gc.ca/eng/blog-blogue/cs-sc/2011NHSstory
  70. Stapleton M, Steiger D. 70.  2015. Cognitive testing of the 2016 American Community Survey content test items: summary report for round 1 and round 2 interviews Jan. US Census Bur Washington, DC: https://www.census.gov/content/dam/Census/library/working-papers/2016/acs/2016_Westat_05.pdf
  71. 71. State Health Access Data Assist. Cent. 2013. NHIS questionnaire changes addressing the Patient Protection and Affordable Care Act SHADAC Brief 34, Jan State Health Access Data Assist. Cent. (SHADAC) Minneapolis: http://www.shadac.org/sites/default/files/publications/NHIS_ACA_Brief34.pdf
  72. Stempowski D. 72.  2015. Evaluating the availability and suitability of external data sources for use in the American Community Survey Memo, July 24 US Census Bur Washington, DC: https://www.census.gov/content/dam/Census/programs-surveys/acs/operations-and-administration/2015-16-survey-enhancements/External_Data_Sources.pdf
  73. Stimpson JP, Wilson FA, Eschbach K. 73.  2010. Trends in health care spending for immigrants in the United States. Health Aff 29:3544–50 [Google Scholar]
  74. 74. US Census Bur. 2013. SIPP-EHC: 2011 and 2012 Field Test Evaluation Washington, DC: US Census Bur https://www2.census.gov/programs-surveys/sipp/2015/2013_SIPP-EHC_Evaluation_Report.pdf
  75. 75. US Census Bur. 2014. Administrative records and third party data use in the 2020 Census working group US Census Bur Washington, DC: https://www2.census.gov/cac/nac/reports/2014_2020census_wg.pdf
  76. 76. US Census Bur. 2014. American Community Survey Design and Methodology Washington, DC: US Census Bur https://www2.census.gov/programs-surveys/acs/methodology/design_and_methodology/acs_design_methodology_report_2014.pdf
  77. 77. US Census Bur. 2016. Current Population Survey (CPS): complete technical documentation US Census Bur Washington, DC: https://www.census.gov/programs-surveys/cps/technical-documentation/complete.html
  78. 78. US Census Bur. 2016. Survey of income and program participation: SIPP introduction & history Updated Feb. 29 US Census Bur Washington, DC: https://www.census.gov/programs-surveys/sipp/about/sipp-introduction-history.html
  79. 79. US Census Bur. 2017. American Community Survey (ACS): mandatory versus voluntary methods Updated March 16 US Census Bur Washington, DC: https://www.census.gov/programs-surveys/acs/methodology/mandatory-voluntary-methods.html
  80. 80. US Census Bur. 2017. American Community Survey (ACS): sample size and data quality US Census Bur Washington, DC: https://www.census.gov/acs/www/methodology/sample-size-and-data-quality/
  81. 81. US Census Bur. 2017. Current Population Survey (CPS): supplemental surveys Updated May 3 US Census Bur Washington, DC: https://www.census.gov/programs-surveys/cps/about/supplemental-surveys.html
  82. US Census Bur. 82.  2017. Data linkage infrastructure Updated July 5 US Census Bur Washington, DC: https://www.census.gov/about/adrm/linkage/guidance.html
  83. 83. US Dep. Commer., US Census Bur. 2013. Supporting statement Uploaded Feb. 8 US Off. Manag. Budg Washington, DC: https://www.reginfo.gov/public/do/PRAViewDocument?ref_nbr=201211-0607-002
  84. Vornovitsky M, Day JC. 84.  2015. Health insurance measurement and estimates Presented at Expert Meet. Income, Poverty, Health Insur., March 20 Suitland, MD: https://www.census.gov/content/dam/Census/library/working-papers/2015/demo/2015-Vornovitsy-Day-01.pdf
  85. Wallace PJ, Shah ND, Dennen T, Bleicher PA, Crown WH. 85.  2014. Optum Labs: building a novel node in the learning health care system. Health Aff 33:71187–94 [Google Scholar]
  86. Zan H, Scharff RL. 86.  2015. The heterogeneity in financial and time burden of caregiving to children with chronic conditions. Matern. Child Health J. 19:3615–25 [Google Scholar]
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