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Health Insurance Portability and Accountability Act (Hipaa) Authorization and Survey Nonresponse Bias

Datos Bibliográficos

ID9104493
AutoresTimothy J Beebe (0000-0003-4700-2436, Department of Medical Sciences, autor de correspondencia), Jeanette Y Ziegenfu (0000-0001-9304-4499, Department of Medical Sciences, autor de correspondencia), Jeanette Y Ziegenfuss, Jennifer L St Sauver (0000-0002-9789-8544, Department of Medical Sciences), Sarah M Jenkins (0000-0002-4157-8066, Department of Medical Sciences), Lindsey Haas, Lindsey R Haas (Department of Medical Sciences, autor de correspondencia), Michael E Davern (University of Chicago), Nicholas J Talley (Jacksonville College)
Año2011
Volumen49
Número4
Páginas365-370
Fecha de publicación2011-04-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e318202ada0
PMID21368682
PMCIDPMC3179247
OpenAlexW81512849
IdiomaEN
Referencias citadas9

OBJECTIVES: To extend earlier work (Beebe et al, Med Care. 2007;45:959-965) that demonstrated Health Insurance Portability and Accountability Act authorization form (HAF) introduced potential nonresponse bias (toward healthier respondents). RESEARCH DESIGN: The sample frame from the earlier experiment was linked to administrative medical record data, enabling the comparison of background and clinical characteristics of each set of respondents (HAF and No HAF) to the sample frame. SUBJECTS: A total of 6939 individuals residing in Olmsted County, Minnesota who were mailed a survey in September 2005 assessing recent gastrointestinal symptoms with an embedded HAF experiment comprised the study population. MEASURES: The outcomes of interest were response status (survey returned vs. not) by HAF condition (randomized to receive HAF or not). Sociodemographic indicators included gender, age, and race. Health status was measured using the severity-weighted Charlson Score and utilization was measured using emergency room visits, hospital admissions, clinic office visits, and procedures. RESULTS: Younger and nonwhite residents were under-represented and those with more clinical office visits were over-represented in both conditions. Those responding to the survey in the HAF condition were significantly more likely to be in poor health compared with the population (27.3% with 2+ comorbidities vs. 24.6%, P=0.02). CONCLUSIONS: The HAF did not influence the demographic composition of the respondents. However, in contrast to earlier findings based on self-reported health status (Beebe et al, Med Care. 2007;45:959-965), responders in the HAF condition were slightly sicker than in the non-HAF condition. The HAF may introduce a small amount of measurement error by suppressing reports of poor health. Furthermore, researchers should consider the effect of the HAF on resultant precision, respondent burden, and available financial resources

Environmental health · Family medicine · Health care · Health Insurance Portability and Accountability Act · Population · Public health · Healthcare cost, quality, practices · Healthcare Policy and Management · Medication Adherence and Compliance · Medicine · Nursing · Gerontology

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