Literature DB >> 9368519

Correlates and effect of non-response in a postpartum survey of obstetrical care quality.

V L Holt1, D P Martin, J P LoGerfo.   

Abstract

This study investigated the differences between unprompted respondents, prompted respondents, and non-respondents to a postpartum postal survey, and determined the likely impact of non-response on the accuracy of calculations of patient assessments of obstetrical care quality. Birth certificate and hospital discharge data were obtained for 1664 live births at three hospitals in Washington State between 8/91-10/91 and linked with 1268 completed postpartum maternal postal surveys. Non-white race, public insurance payer, unmarried status, and smoking in pregnancy were independent risk factors for non-participation. Among participants, non-white race, unmarried status, and having an infant who was low birthweight, preterm, or discharged late were independent risk factors for prompted response. The inclusion of prompted respondents did not substantially alter the calculated proportion of women rating obstetrical care quality as low, and these figures were similar to proportions estimated for the entire intended cohort using a modification of Drane's method. A one-time mailing of an obstetrical care quality survey can provide information similar to that obtained with more extensive follow-up even though substantial differences may exist between unprompted and prompted respondents, and with adjustment for factors related to non-participation and timing of response, it may be possible to obtain accurate estimation of outcome prevalences for the entire intended cohort.

Entities:  

Mesh:

Year:  1997        PMID: 9368519     DOI: 10.1016/s0895-4356(97)00096-6

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


  6 in total

1.  Assessing non-response to a mailed health survey including self-collection of biological material.

Authors:  Anneli Uusküla; Mart Kals; Louise-Anne McNutt
Journal:  Eur J Public Health       Date:  2010-05-10       Impact factor: 3.367

2.  The Pregnancy Risk Assessment Monitoring System (PRAMS): current methods and evaluation of 2001 response rates.

Authors:  Holly B Shulman; Brenda Colley Gilbert; Coi Gl Msphbrenda; Amy Lansky
Journal:  Public Health Rep       Date:  2006 Jan-Feb       Impact factor: 2.792

Review 3.  Smoking and selected DNA repair gene polymorphisms in controls: systematic review and meta-analysis.

Authors:  M Elizabeth Hodgson; Charles Poole; Andrew F Olshan; Kari E North; Donglin Zeng; Robert C Millikan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-10-08       Impact factor: 4.254

4.  Barriers to participation in a patient satisfaction survey: who are we missing?

Authors:  Angèle Gayet-Ageron; Thomas Agoritsas; Laura Schiesari; Véronique Kolly; Thomas V Perneger
Journal:  PLoS One       Date:  2011-10-26       Impact factor: 3.240

5.  Women's Perspectives on Factors Influencing Florida Pregnancy Risk Assessment Monitoring System (PRAMS) Response.

Authors:  Grace Jones; Stefania Alastre; Shanda Vereen; Concha Prieto; Roneé E Wilson; Jennifer Marshall
Journal:  Matern Child Health J       Date:  2022-07-23

6.  Demographic and occupational predictors of early response to a mailed invitation to enroll in a longitudinal health study.

Authors:  Jean-Paul Chretien; Laura K Chu; Tyler C Smith; Besa Smith; Margaret A K Ryan
Journal:  BMC Med Res Methodol       Date:  2007-01-25       Impact factor: 4.615

  6 in total

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