Evidence map›Paper›PMID 29272166›Full record

ReviewAnnual review of public health2018

Data Resources for Conducting Health Services and Policy Research.

Lynn A Blewett, Kathleen Thiede Call, Joanna Turner, Robert Hest

Abstract readReview
In one paragraph

Review in Annual review of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States.International journal of environmental research and public health · 2021
    Review
  12. Observational
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lynn A BlewettDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55414, USA; email: blewe001@umn.edu , turn0053@umn.edu , hestx005@umn.edu.
Kathleen Thiede CallSchool of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA; email: callx001@umn.edu.
Joanna TurnerDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55414, USA; email: blewe001@umn.edu , turn0053@umn.edu , hestx005@umn.edu.
Robert HestDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55414, USA; email: blewe001@umn.edu , turn0053@umn.edu , hestx005@umn.edu.

Funding

U.S. Health Surveys Microdata for Population Health ResearchR01HD046697 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Julia AR Drew, Andrew Fenelon · 2004 to 2026
$13.7M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD046697
6 · The paper itself

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.

Indexed as

Research DesignData CollectionGovernment AgenciesHealth BehaviorHealth ExpendituresHealth ServicesHealth Services ResearchHumansInsurance CoverageInsurance, HealthPatient Acceptance of Health CareUnited Statesdatahealth services researchhousehold survey datapublic health surveillance

Identifiers

PMID29272166
PMCPMC5880724

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.