Missing not at random in end of life care studies

Autor: Carreras G., Miccinesi G., Wilcock A., Preston N., Nieboer D., Deliens L., Groenvold M., Lunder U., van der Heide A., Baccini M., Korfage I. J., Rietjens J. A. C., Jabbarian L. J., Polinder S., van Delden H., Kars M., Zwakman M., Verkissen M. N., Eecloo K., Faes K., Pollock K., Seymour J., Caswell G., Bramley L., Payne S., Dunleavy L., Sowerby E., Bulli F., Ingravallo F., Toccafondi A., Gorini G., Cerv B., Simonic A., Mimic A., Kodba-Ceh H., Ozbic P., Arnfeldt C., Thit Johnsen A.
Přispěvatelé: Family Medicine and Chronic Care, End-of-life Care Research Group, Carreras G., Miccinesi G., Wilcock A., Preston N., Nieboer D., Deliens L., Groenvold M., Lunder U., van der Heide A., Baccini M., Korfage I.J., Rietjens J.A.C., Jabbarian L.J., Polinder S., van Delden H., Kars M., Zwakman M., Verkissen M.N., Eecloo K., Faes K., Pollock K., Seymour J., Caswell G., Bramley L., Payne S., Dunleavy L., Sowerby E., Bulli F., Ingravallo F., Toccafondi A., Gorini G., Cerv B., Simonic A., Mimic A., Kodba-Ceh H., Ozbic P., Arnfeldt C., Thit Johnsen A., Public Health
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-12 (2021)
Carreras, G, Miccinesi, G, Wilcock, A, Preston, N, Nieboer, D, Deliens, L, Grønvold, M, Lunder, U, van der Heide, A & Baccini, M 2021, ' Missing not at random in end of life care studies : multiple imputation and sensitivity analysis on data from the ACTION study ', BMC Medical Research Methodology, vol. 21, no. 1, 13 . https://doi.org/10.1186/s12874-020-01180-y
BMC Medical Research Methodology
BMC MEDICAL RESEARCH METHODOLOGY
BMC Medical Research Methodology, 21(1):13. BioMed Central Ltd.
ISSN: 1471-2288
DOI: 10.1186/s12874-020-01180-y
Popis: Background Missing data are common in end-of-life care studies, but there is still relatively little exploration of which is the best method to deal with them, and, in particular, if the missing at random (MAR) assumption is valid or missing not at random (MNAR) mechanisms should be assumed. In this paper we investigated this issue through a sensitivity analysis within the ACTION study, a multicenter cluster randomized controlled trial testing advance care planning in patients with advanced lung or colorectal cancer. Methods Multiple imputation procedures under MAR and MNAR assumptions were implemented. Possible violation of the MAR assumption was addressed with reference to variables measuring quality of life and symptoms. The MNAR model assumed that patients with worse health were more likely to have missing questionnaires, making a distinction between single missing items, which were assumed to satisfy the MAR assumption, and missing values due to completely missing questionnaire for which a MNAR mechanism was hypothesized. We explored the sensitivity to possible departures from MAR on gender differences between key indicators and on simple correlations. Results Up to 39% of follow-up data were missing. Results under MAR reflected that missingness was related to poorer health status. Correlations between variables, although very small, changed according to the imputation method, as well as the differences in scores by gender, indicating a certain sensitivity of the results to the violation of the MAR assumption. Conclusions The findings confirmed the importance of undertaking this kind of analysis in end-of-life care studies.
Databáze: OpenAIRE
Externí odkaz: