Who does not participate in a follow-up postal study? A survey of infertile couples treated by in vitro fertilization

BMC Medical Research Methodology

Volumn 12, Issue , 2012, Pages

  Troude, Penelope ^a,b,c   Bailly, Estelle ^a   Guibert, Juliette ^d   Bouyer, Jean ^a,b,e   De La Rochebrochard, Elise ^a,b,e  

^a INSTITUT NATIONAL D'ÉTUDES DÉMOGRAPHIQUES   (France)

^b INSERM   (France)

^c UNIVERSITÉ PARIS DESCARTES   (France)

^d INSTITUT MUTUALISTE MONTSOURIS   (France)

^e UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

Infertility; IVF; Postal survey; Response rate

Indexed keywords

ACCESS TO INFORMATION; ADULT; AGED; ARTICLE; AUSTRALIA; BACKACHE; FEMALE; HEALTH; HEALTH CARE DELIVERY; HEALTH STATUS INDICATOR; HUMAN; MALE; MIDDLE AGED; PSYCHOLOGICAL ASPECT; SELF CARE; SOCIOECONOMICS; STANDARD;

ACCESS TO INFORMATION; ADULT; AGED; BACK PAIN; FEMALE; HEALTH SERVICES ACCESSIBILITY; HEALTH STATUS INDICATORS; HUMANS; MALE; MIDDLE AGED; RURAL HEALTH; SELF CARE; SOCIOECONOMIC FACTORS; WESTERN AUSTRALIA;

EID: 84868342664     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-12-104     Document Type: Article

References (36)

1. Participation rates in epidemiologic studies. Galea S, Tracy M, Ann Epidemiol 2007 17 643 653 10.1016/j.annepidem.2007.03.013 17553702 (Pubitemid 47268775)
2. Statistics in medical journals: some recent trends. Altman DG, Stat Med 2000 19 3275 3289 10.1002/1097-0258(20001215)19:23<3275::AID-SIM626>3.0. CO;2-M 11113959
3. Evaluating the impact of non-response bias in the Behavioral Risk Factor Surveillance System (BRFSS). Schneider KL, Clark MA, Rakowski W, Lapane KL, J Epidemiol Community Health 2012 66 290 295 Epub 2010 Oct 19 10.1136/jech.2009. 103861 20961872
4. The impact of attrition on the representativeness of cohort studies of older people. Brilleman SL, Pachana NA, Dobson AJ, BMC Med Res Methodol 2010 10 71 10.1186/1471-2288-10-71 20687909
5. Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members. Littman AJ, Boyko EJ, Jacobson IG, Horton J, Gackstetter GD, Smith B, Hooper T, Wells TS, Amoroso PJ, Smith TC, BMC Med Res Methodol 2010 10 99 10.1186/1471-2288-10-99 20964861
6. Loss to follow-up in cohort studies: how much is too much? Kristman V, Manno M, Cote P, Eur J Epidemiol 2004 19 751 760 15469032 (Pubitemid 41184426)
7. How much loss to follow-up is acceptable in long-term randomised trials and prospective studies? Fewtrell MS, Kennedy K, Singhal A, Martin RM, Ness A, Hadders-Algra M, Koletzko B, Lucas A, Arch Dis Child 2008 93 458 461 10.1136/adc.2007.127316 18495909 (Pubitemid 352025759)
8. Attrition in longitudinal studies: who do you lose? Young AF, Powers JR, Bell SL, Aust N Z J Public Health 2006 30 353 361 10.1111/j.1467-842X.2006. tb00849.x 16956166 (Pubitemid 44339949)
9. Reporting participation in epidemiologic studies: a survey of practice. Morton LM, Cahill J, Hartge P, Am J Epidemiol 2006 163 197 203 16339049 (Pubitemid 43145745)
10. Attrition in the COCON cohort between 2000 and 2002. Razafindratsima N, Kishimba N, COCON Group, Popul (English) 2004 59 357 385
11. Plewis I, Ketende S, Millennium Cohort Study: Technical Report on Response London: Centre for Longitudinal Studies, Institute of Education 2006
12. Ketende S, Millennium Cohort Study: Technical Report on Response London: Centre for Longitudinal Studies, Institute of Education 2 2008
13. Does low participation in cohort studies induce bias? Nohr EA, Frydenberg M, Henriksen TB, Olsen J, Epidemiology 2006 17 413 418 10.1097/01.ede. 0000220549.14177.60 16755269 (Pubitemid 44305514)
14. Selection by socioeconomic factors into the Danish National Birth Cohort. Jacobsen TN, Nohr EA, Frydenberg M, Eur J Epidemiol 2010 25 349 355 10.1007/s10654-010-9448-2 20349116
15. Cohort profile: the 45 and up study. Banks E, Redman S, Jorm L, Armstrong B, Bauman A, Beard J, Beral V, Byles J, Corbett S, Cumming R, et al. Int J Epidemiol 2008 37 941 947 17881411
16. Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs. Mealing NM, Banks E, Jorm LR, Steel DG, Clements MS, Rogers KD, BMC Med Res Methodol 2010 10 26 10.1186/1471-2288-10-26 20356408
17. Cohort Profile: the Australian Longitudinal Study on Womens Health. Lee C, Dobson AJ, Brown WJ, Bryson L, Byles J, Warner-Smith P, Young AF, Int J Epidemiol 2005 34 987 991 10.1093/ije/dyi098 15894591 (Pubitemid 41535539)
18. Socioeconomic, demographic, occupational, and health factors associated with participation in a long-term epidemiologic survey: a prospective study of the French GAZEL cohort and its target population. Goldberg M, Chastang JF, Leclerc A, Zins M, Bonenfant S, Bugel I, Kaniewski N, Schmaus A, Niedhammer I, Piciotti M, et al. Am J Epidemiol 2001 154 373 384 10.1093/aje/154.4.373 11495861 (Pubitemid 32756634)
19. Health problems were the strongest predictors of attrition during follow-up of the GAZEL cohort. Goldberg M, Chastang JF, Zins M, Niedhammer I, Leclerc A, J Clin Epidemiol 2006 59 1213 1221 10.1016/j.jclinepi.2006.02.020 17027433 (Pubitemid 44485431)
20. Why do couples discontinue in vitro fertilization treatment? a cohort study. Olivius C, Friden B, Borg G, Bergh C, Fertil Steril 2004 81 258 261 10.1016/j.fertnstert.2003.06.029 14967352 (Pubitemid 38223895)
21. Psychosocial burden of infertility and assisted reproduction. Schmidt L, Lancet 2006 367 9508 379 380 10.1016/S0140-6736(06)68117-8 16458748 (Pubitemid 43184242)
22. Long-term follow-up of women and men after unsuccessful IVF. Filetto JN, Makuch MY, Reprod Biomed Online 2005 11 458 463 10.1016/S1472-6483(10)61141-8 16274609 (Pubitemid 41762065)
23. Womens experience of IVF: a follow-up study. Hammarberg K, Astbury J, Baker H, Hum Reprod 2001 16 374 383 10.1093/humrep/16.2.374 11157838 (Pubitemid 32149438)
24. How many mailouts? Could attempts to increase the response rate in the Iraq war cohort study be counterproductive? Tate AR, Jones M, Hull L, Fear NT, Rona R, Wessely S, Hotopf M, BMC Med Res Methodol 2007 7 51 10.1186/1471-2288-7- 51 18045472 (Pubitemid 350275744)
25. Spontaneous pregnancy after successful ICSI treatment: evaluation of risk factors in 899 families in Germany. Ludwig AK, Katalinic A, Jendrysik J, Thyen U, Sutcliffe AG, Diedrich K, Ludwig M, Reprod Biomed Online 2008 17 403 409 10.1016/S1472-6483(10)60225-8 18765012
26. Likelihood of natural conception following treatment by IVF. Cahill DJ, Meadowcroft J, Akande VA, Corrigan E, J Assist Reprod Genet 2005 22 401 405 10.1007/s10815-005-6655-y 16331537 (Pubitemid 41758742)
27. Psychiatric and sociodemographic predictors of attrition in a longitudinal study: The Netherlands Mental Health Survey and Incidence Study (NEMESIS). de Graaf R, Bijl RV, Smit F, Ravelli A, Vollebergh WA, Am J Epidemiol 2000 152 1039 1047 10.1093/aje/152.11.1039 11117613
28. Tracking participants: lessons from the Womens Health Australia Project. Lee C, Dobson A, Brown W, Adamson L, Goldsworthy J, Aust N Z J Public Health 2000 24 334 336 10.1111/j.1467-842X.2000.tb01580.x 10937416
29. Participants who left a multiple-wave cohort study had similar baseline characteristics to participants who returned. Ware RS, Williams GM, Aird RL, Ann Epidemiol 2006 16 820 823 10.1016/j.annepidem.2006.01.008 16621597 (Pubitemid 44709930)
30. Prospective longitudinal cohort study on cumulative 5-year delivery and adoption rates among 1338 couples initiating infertility treatment. Pinborg A, Hougaard CO, Nyboe Andersen A, Molbo D, Schmidt L, Hum Reprod 2009 24 991 999 19136480
31. Reasons for discontinuation of IVF treatment: a questionnaire study. Rajkhowa M, McConnell A, Thomas GE, Hum Reprod 2006 21 358 363 16269448 (Pubitemid 43159907)
32. Does the provision of free intrauterine contraception reduce pregnancy rates among uninsured low-income women? A cohort study: a two North Carolina clinics. Fanarjian N, Drostin C, Garrett J, Montalvo A, Contraception 2012 85 160 165 Epub 2011 Jul 14 10.1016/j.contraception.2011.06.002 22067782
33. Factors that affect outcome of in-vitro fertilisation treatment. Templeton A, Morris JK, Parslow W, Lancet 1996 348 9039 1402 1406 10.1016/S0140-6736(96)05291-9 8937279 (Pubitemid 26395234)
34. Effect of the womans age on discontinuation of IVF treatment. Soullier N, Bouyer J, Pouly JL, Guibert J, de La Rochebrochard E, Reprod Biomed Online 2011 22 496 500 10.1016/j.rbmo.2011.01.013
35. Addressing nonresponse bias in postal surveys. MacDonald SE, Newburn-Cook CV, Schopflocher D, Richter S, Public Health Nurs 2009 26 95 105 10.1111/j.1525-1446.2008.00758.x 19154197
36. Missing data analysis: making it work in the real world. Graham JW, Annu Rev Psychol 2009 60 549 576 10.1146/annurev.psych.58.110405.085530 18652544