Evidence map›Paper›PMID 31415207›Full record

ArticleAmerican journal of public health2019

Surveying Strategies for Hard-to-Survey Populations: Lessons From the Native Hawaiian and Pacific Islander National Health Interview Survey.

Adena M Galinsky, Catherine Simile, Carla E Zelaya, Tina Norris, Sela V Panapasa

Abstract read
In one paragraph

Article in American journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany.International journal of environmental research and public health · 2022
    Pooled it
  2. Mental and Physical Health Impacts of Anti-Asian Violence on Chinese Older Adults.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Adena M GalinskyAdena M. Galinsky, Catherine Simile, Carla E. Zelaya, and Tina Norris are with the Division of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. Sela V. Panapasa is with the Institute for Social Research, University of Michigan, Ann Arbor.
Catherine SimileAdena M. Galinsky, Catherine Simile, Carla E. Zelaya, and Tina Norris are with the Division of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. Sela V. Panapasa is with the Institute for Social Research, University of Michigan, Ann Arbor.
Carla E ZelayaAdena M. Galinsky, Catherine Simile, Carla E. Zelaya, and Tina Norris are with the Division of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. Sela V. Panapasa is with the Institute for Social Research, University of Michigan, Ann Arbor.
Tina NorrisAdena M. Galinsky, Catherine Simile, Carla E. Zelaya, and Tina Norris are with the Division of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. Sela V. Panapasa is with the Institute for Social Research, University of Michigan, Ann Arbor.
Sela V PanapasaAdena M. Galinsky, Catherine Simile, Carla E. Zelaya, and Tina Norris are with the Division of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. Sela V. Panapasa is with the Institute for Social Research, University of Michigan, Ann Arbor.

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Calls for remedies for the persistent scarcity of accurate, reliable, national, disaggregated health statistics on hard-to-survey populations are common, but solutions are rare. Survey strategies used in community and clinical studies of hard-to-survey populations often cannot be, and generally are not, implemented at the national level.This essay presents a set of approaches, for use in combination with traditional survey methods in large-scale surveys of these populations, to overcome challenges in 2 domains: sampling and motivating respondents to participate. The first approach consists of using the American Community Survey as a frame, and the second consists of implementing a multifaceted community engagement effort.We offer lessons learned from implementing these strategies in a national survey, some of which are relevant to all survey planners. We then present evidence of the quality of the resulting data set. If these approaches were used more widely, hard-to-survey populations could become more visible and accurately represented to those responsible for setting national priorities for health research and services.

Indexed as

Native Hawaiian or Pacific IslanderCommunity ParticipationData AccuracyHawaiiHealth SurveysHumansReproducibility of ResultsSocioeconomic Factors

Identifiers

PMID31415207
PMCPMC6727300

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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.