Literature DB >> 20304608

Randomized trial showed that an "embedded" survey strategy optimized authorization rates compared with two "after survey" strategies in veterans with PTSD.

Maureen Murdoch1, Diane M Pietila, Melissa R Partin.   

Abstract

OBJECTIVES: To test methods to optimize mail survey response and authorization rates (i.e., allowing one's survey to be linked to medical records) when the survey is sensitive and the targeted population has a mental disorder. STUDY DESIGN AND
SETTING: Randomized controlled trial of 1,099 veterans treated for posttraumatic stress disorder (PTSD) at a Midwestern Veteran Affairs Medical Center. Subjects were randomized to one of three groups: (1) Health Insurance Portability and Accountability Act (HIPAA) authorization form embedded in the survey (checking "yes" for consent); (2) HIPAA form requiring signature for consent sent after the survey; or (3) HIPAA form requiring a signature and social security number (SSN) for consent sent after the survey.
RESULTS: The "embedded" strategy yielded the lowest survey response rate (67.5%) but highest authorization rate (59.1%). Requiring respondents' signatures and SSNs after the survey was returned generated the highest survey response rate (74.2%) but lowest authorization rate (48.7%). However, the response rate difference was not statistically significant. Reported emotional upset was low (1.5%) and primarily directed to the survey, not the HIPAA form. Older age and greater trustfulness were associated with higher authorization rates.
CONCLUSION: Even with our most optimized strategy, authorization rates were disappointingly low.

Entities:  

Mesh:

Year:  2010        PMID: 20304608      PMCID: PMC6585438          DOI: 10.1016/j.jclinepi.2009.12.006

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  22 in total

1.  Medical records and privacy: empirical effects of legislation.

Authors:  D B McCarthy; D Shatin; C R Drinkard; J H Kleinman; J S Gardner
Journal:  Health Serv Res       Date:  1999-04       Impact factor: 3.402

2.  Potential effect of authorization bias on medical record research.

Authors:  S J Jacobsen; Z Xia; M E Campion; C H Darby; M F Plevak; K D Seltman; L J Melton
Journal:  Mayo Clin Proc       Date:  1999-04       Impact factor: 7.616

3.  The effect of timing when seeking permission to access personal health services utilization records.

Authors:  Marluce Salim Silva; Wayne T Smith; Gabriele Bammer
Journal:  Ann Epidemiol       Date:  2002-07       Impact factor: 3.797

4.  Health services research using linked records: who consents and what is the gain?

Authors:  A F Young; A J Dobson; J E Byles
Journal:  Aust N Z J Public Health       Date:  2001-10       Impact factor: 2.939

Review 5.  Large medical databases, population-based research, and patient confidentiality.

Authors:  G E Simon; J Unützer; B E Young; H A Pincus
Journal:  Am J Psychiatry       Date:  2000-11       Impact factor: 18.112

6.  Do income questions and seeking consent to link medical records reduce survey response rates? A randomised controlled trial among older people.

Authors:  S Shah; T J Harris; E Rink; S DeWilde; C R Victor; D G Cook
Journal:  Br J Gen Pract       Date:  2001-03       Impact factor: 5.386

7.  Concepts of trust among patients with serious illness.

Authors:  D Mechanic; S Meyer
Journal:  Soc Sci Med       Date:  2000-09       Impact factor: 4.634

8.  Spontaneous reports of emotional upset and health care utilization among veterans with posttraumatic stress disorder after receiving a potentially upsetting survey.

Authors:  Krysten Halek; Maureen Murdoch; Larry Fortier
Journal:  Am J Orthopsychiatry       Date:  2005-01

9.  Impracticability of informed consent in the Registry of the Canadian Stroke Network.

Authors:  Jack V Tu; Donald J Willison; Frank L Silver; Jiming Fang; Janice A Richards; Andreas Laupacis; Moira K Kapral
Journal:  N Engl J Med       Date:  2004-04-01       Impact factor: 91.245

10.  Patterns of consent in epidemiologic research: evidence from over 25,000 responders.

Authors:  Kate M Dunn; Kelvin Jordan; Rosie J Lacey; Mark Shapley; Clare Jinks
Journal:  Am J Epidemiol       Date:  2004-06-01       Impact factor: 4.897

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  3 in total

1.  Who doesn't authorize the linking of survey and administrative health data? A general population-based investigation.

Authors:  Timothy J Beebe; Jeanette Y Ziegenfuss; Sarah M Jenkins; Lindsey R Haas; Michael E Davern
Journal:  Ann Epidemiol       Date:  2011-04-16       Impact factor: 3.797

2.  Health Insurance Portability and Accountability Act (HIPAA) authorization and survey nonresponse bias.

Authors:  Timothy J Beebe; Jeanette Y Ziegenfuss; Jennifer L St Sauver; Sarah M Jenkins; Lindsey Haas; Michael E Davern; Nicholas J Talley
Journal:  Med Care       Date:  2011-04       Impact factor: 2.983

3.  LINKING SURVEY AND ADMINISTRATIVE RECORDS: MECHANISMS OF CONSENT.

Authors:  Joseph W Sakshaug; Mick P Couper; Mary Beth Ofstedal; David R Weir
Journal:  Sociol Methods Res       Date:  2012-11
  3 in total

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