Literature DB >> 16571707

Telephone coverage and health survey estimates: evaluating the need for concern about wireless substitution.

Stephen J Blumberg1, Julian V Luke, Marcie L Cynamon.   

Abstract

OBJECTIVES: We sought to determine whether the exclusion of adults without landline telephones may bias estimates derived from health-related telephone surveys.
METHODS: We took data from the 2004 and 2005 National Health Interview Survey and used logistic regression to compare the odds of behavioral risk factors and health care service use for adults with landline telephones to those for adults with only wireless telephones and adults without any telephone service.
RESULTS: When interviewed, 7.2% of adults, including those who did and did not have wireless telephones, did not have landline telephones. Relative to adults with landline telephones, adults without landline telephones had greater odds of smoking and being uninsured, and they had lower odds of having diabetes, having a usual place for medical care, and having received an influenza vaccination in the past year.
CONCLUSIONS: As people substitute wireless telephones for landline telephones, the percentage of adults without landline telephones has increased significantly but is still low, which minimizes the bias resulting from their exclusion from telephone surveys. Bias greater than 1 percentage point is expected only for estimates of health insurance, smoking, binge drinking, having a usual place for care, and receiving an influenza vaccination.

Entities:  

Mesh:

Year:  2006        PMID: 16571707      PMCID: PMC1470567          DOI: 10.2105/AJPH.2004.057885

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  8 in total

1.  Usefulness of telephone risk factor surveys in the New Mexico border region.

Authors:  Luis G Escobedo; Michael G Landen; Catherine D Axtell; William D Kaigh
Journal:  Am J Prev Med       Date:  2002-07       Impact factor: 5.043

2.  A comparison of national estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System.

Authors:  David E Nelson; Eve Powell-Griner; Machell Town; Mary Grace Kovar
Journal:  Am J Public Health       Date:  2003-08       Impact factor: 9.308

3.  Health promotion data for state health departments: telephone versus in-person survey estimates of smoking and alcohol use.

Authors:  R F Anda; D L Dodson; D F Williamson; P L Remington
Journal:  Am J Health Promot       Date:  1989-09

4.  Telephone coverage and measurement of health risk indicators: data from the National Health Interview Survey.

Authors:  J E Anderson; D E Nelson; R W Wilson
Journal:  Am J Public Health       Date:  1998-09       Impact factor: 9.308

5.  Characteristics of survey participants with and without a telephone: findings from the third National Health and Nutrition Examination Survey.

Authors:  E S Ford
Journal:  J Clin Epidemiol       Date:  1998-01       Impact factor: 6.437

6.  State smoking prevalence estimates: a comparison of the Behavioral Risk Factor Surveillance System and current population surveys.

Authors:  D R Arday; S L Tomar; D E Nelson; R K Merritt; M W Schooley; P Mowery
Journal:  Am J Public Health       Date:  1997-10       Impact factor: 9.308

7.  Effects of telephone versus face-to-face interview modes on reports of alcohol consumption.

Authors:  T K Greenfield; L T Midanik; J D Rogers
Journal:  Addiction       Date:  2000-02       Impact factor: 6.526

8.  Comparison of NIS and NHIS/NIPRCS vaccination coverage estimates. National Immunization Survey. National Health Interview Survey/National Immunization Provider Record Check Study.

Authors:  D L Bartlett; T M Ezzati-Rice; S Stokley; Z Zhao
Journal:  Am J Prev Med       Date:  2001-05       Impact factor: 5.043

  8 in total
  78 in total

1.  Increasing cell phone usage among Hispanics: implications for telephone surveys.

Authors:  Sunghee Lee; Mahmoud Elkasabi; Leanne Streja
Journal:  Am J Public Health       Date:  2012-04-19       Impact factor: 9.308

2.  Text4Health: impact of text message reminder-recalls for pediatric and adolescent immunizations.

Authors:  Melissa S Stockwell; Elyse Olshen Kharbanda; Raquel Andres Martinez; Marcos Lara; David Vawdrey; Karthik Natarajan; Vaughn I Rickert
Journal:  Am J Public Health       Date:  2011-12-15       Impact factor: 9.308

3.  Problems with the collection and interpretation of Asian-American health data: omission, aggregation, and extrapolation.

Authors:  Ariel T Holland; Latha P Palaniappan
Journal:  Ann Epidemiol       Date:  2012-06       Impact factor: 3.797

4.  Growing cell-phone population and noncoverage bias in traditional random digit dial telephone health surveys.

Authors:  Sunghee Lee; J Michael Brick; E Richard Brown; David Grant
Journal:  Health Serv Res       Date:  2010-05-24       Impact factor: 3.402

5.  State-based estimates of mammography screening rates based on information from two health surveys.

Authors:  William W Davis; Van L Parsons; Dawei Xie; Nathaniel Schenker; Machell Town; Trivellore E Raghunathan; Eric J Feuer
Journal:  Public Health Rep       Date:  2010 Jul-Aug       Impact factor: 2.792

6.  Decreases in smoking prevalence in Asian communities served by the Racial and Ethnic Approaches to Community Health (REACH) project.

Authors:  Youlian Liao; Janice Y Tsoh; Roxana Chen; Mary Anne Foo; Cheza C Garvin; Dorcas Grigg-Saito; Sidney Liang; Stephen McPhee; Tung T Nguyen; Jacqueline H Tran; Wayne H Giles
Journal:  Am J Public Health       Date:  2010-03-18       Impact factor: 9.308

7.  Tobacco Smoke Exposure and Health-Care Utilization Among Children in the United States.

Authors:  Ashley L Merianos; Cathy Odar Stough; Laura A Nabors; E Melinda Mahabee-Gittens
Journal:  Am J Health Promot       Date:  2017-01-30

8.  Preferences for self-management support: findings from a survey of diabetes patients in safety-net health systems.

Authors:  Urmimala Sarkar; John D Piette; Ralph Gonzales; Daniel Lessler; Lisa D Chew; Brendan Reilly; Jolene Johnson; Melanie Brunt; Jennifer Huang; Marsha Regenstein; Dean Schillinger
Journal:  Patient Educ Couns       Date:  2007-11-07

9.  Comparability of contraceptive prevalence etimates for women from the 2002 Behavioral Risk Factor Surveillance System.

Authors:  John Santelli; Laura Duberstein Lindberg; Lawrence B Finer; Vaughn I Rickert; Diana Bensyl; Sam Posner; Shelly Makleff; Kathryn Kost; Susheela Singh
Journal:  Public Health Rep       Date:  2008 Mar-Apr       Impact factor: 2.792

10.  Sampling procedures and sample representativeness in a national telephone survey: a Portuguese example.

Authors:  Sofia Correia; Paulo Dinis; Francisco Rolo; Nuno Lunet
Journal:  Int J Public Health       Date:  2009-12-15       Impact factor: 3.380

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