Andrea Icks1, Alexandra Dittrich2, Manuela Brüne3, Oliver Kuss4, Annika Hoyer5, Burkhard Haastert6, Alexander Begun3, Silke Andrich7, Jonas Hoffmann3, Matthias Kaltheuner8, Nadja Chernyak2. 1. Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine University Düsseldorf, Moorenstraβe 5, 40225 Düsseldorf, Germany; Paul Langerhans Group of Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany; German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Düsseldorf, Institute of Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstraβe 1, 85764 Neuherberg, Germany. Electronic address: andrea.icks@uni-duesseldorf.de. 2. Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine University Düsseldorf, Moorenstraβe 5, 40225 Düsseldorf, Germany. 3. Paul Langerhans Group of Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany; German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Düsseldorf, Institute of Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany. 4. German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Düsseldorf, Institute of Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstraβe 1, 85764 Neuherberg, Germany; Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University, Moorenstraβe 5, 40225 Düsseldorf, Germany. 5. German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Düsseldorf, Institute of Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany. 6. Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine University Düsseldorf, Moorenstraβe 5, 40225 Düsseldorf, Germany; mediStatistica, Lambertusweg 1, 58809 Neuenrade, Germany. 7. Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine University Düsseldorf, Moorenstraβe 5, 40225 Düsseldorf, Germany; Paul Langerhans Group of Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany; German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Düsseldorf, Institute of Biometrics and Epidemiology, Auf'm Hennekamp 65, 40225 Düsseldorf, Germany. 8. Specialised Diabetes Practice Leverkusen, Kalkstraβe 117, 51377 Leverkusen, Germany.
Abstract
OBJECTIVE: To analyze the impact of different recall lengths on agreement between self-reported physician visits and those documented in health insurance data applying an experimental design. STUDY DESIGN AND SETTING: We randomly assigned 432 patients with diabetes to one of two versions of a written survey, each asking about the number of physician visits over a 3- or 6-month recall period. Health insurance data were linked individually. RESULTS: In both groups, the mean number of self-reported physician visits per month was lower than in the insurance data, with a larger difference in the 6-month group (-0.9; 95% CI -1.0, -0.7) than in the 3-month group (-0.5; -0.7; -0.2), difference between the two groups: 0.4 (0.1-0.7; P = 0.009). The percentage of participants with correct reporting was small and did not differ largely between the two groups (6.5% and 9.3%). However, there was more overreporting in the 3-month group (25.6% vs. 11.1%). CONCLUSIONS: Shorter recall periods may produce more accurate results when estimating the mean number of physician visits. However, this may be driven not by a more accurate reporting, but by a higher proportion of respondents that overreported and a lower proportion of respondents that underreported, when compared to the longer reporting period.
RCT Entities:
OBJECTIVE: To analyze the impact of different recall lengths on agreement between self-reported physician visits and those documented in health insurance data applying an experimental design. STUDY DESIGN AND SETTING: We randomly assigned 432 patients with diabetes to one of two versions of a written survey, each asking about the number of physician visits over a 3- or 6-month recall period. Health insurance data were linked individually. RESULTS: In both groups, the mean number of self-reported physician visits per month was lower than in the insurance data, with a larger difference in the 6-month group (-0.9; 95% CI -1.0, -0.7) than in the 3-month group (-0.5; -0.7; -0.2), difference between the two groups: 0.4 (0.1-0.7; P = 0.009). The percentage of participants with correct reporting was small and did not differ largely between the two groups (6.5% and 9.3%). However, there was more overreporting in the 3-month group (25.6% vs. 11.1%). CONCLUSIONS: Shorter recall periods may produce more accurate results when estimating the mean number of physician visits. However, this may be driven not by a more accurate reporting, but by a higher proportion of respondents that overreported and a lower proportion of respondents that underreported, when compared to the longer reporting period.
Authors: Rikke Munk Killingmo; Alessandro Chiarotto; Danielle A van der Windt; Kjersti Storheim; Sita M A Bierma-Zeinstra; Milada C Småstuen; Zinajda Zolic-Karlsson; Ørjan N Vigdal; Bart W Koes; Margreth Grotle Journal: BMC Health Serv Res Date: 2022-06-18 Impact factor: 2.908
Authors: Danalyn Byng; Johanna I Lutter; Margarethe E Wacker; Rudolf A Jörres; Xiaofei Liu; Stefan Karrasch; Holger Schulz; Claus Vogelmeier; Rolf Holle Journal: Int J Chron Obstruct Pulmon Dis Date: 2019-07-05
Authors: Chantal L Grimwood; Anne E Holland; Christine F McDonald; Ajay Mahal; Catherine J Hill; Annemarie L Lee; Narelle S Cox; Rosemary Moore; Caroline Nicolson; Paul O'Halloran; Aroub Lahham; Rebecca Gillies; Angela T Burge Journal: BMC Health Serv Res Date: 2020-11-23 Impact factor: 2.655
Authors: Kirsty Garfield; Samantha Husbands; Joanna C Thorn; Sian Noble; Will Hollingworth Journal: BMC Health Serv Res Date: 2021-04-21 Impact factor: 2.655