Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database

Gonzalez-Gonzalez AI, Dinh TS, Meid AD, Blom JW, van den Akker M, Elders PJM, Thiem U, de Gaudry DK, Snell KIE, Perera R, Swart KMA, et al. (2021)
Mechanisms of Ageing and Development 194: 111436.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Gonzalez-Gonzalez, Ana I.; Dinh, Truc S.; Meid, Andreas D.; Blom, Jeanet W.; van den Akker, Marjan; Elders, Petra J. M.; Thiem, Ulrich; de Gaudry, Daniela Kuellenberg; Snell, Kym I. E.; Perera, Rafael; Swart, Karin M. A.; Rudolf, Henrik
Alle
Abstract / Bemerkung
The prevalence of multimorbidity and polypharmacy increases significantly with age and are associated with negative health consequences. However, most current interventions to optimize medication have failed to show significant effects on patient-relevant outcomes. This may be due to ineffectiveness of interventions themselves but may also reflect other factors: insufficient sample sizes, heterogeneity of population. To address this issue, the international PROPERmed collaboration was set up to obtain/synthesize individual participant data (IPD) from five cluster-randomized trials. The trials took place in Germany and The Netherlands and aimed to optimize medication in older general practice patients with chronic illness. PROPERmed is the first database of IPD to be drawn from multiple trials in this patient population and setting. It offers the opportunity to derive prognostic models with increased statistical power for prediction of patient-relevant outcomes resulting from the interplay of multimorbidity and polypharmacy. This may help patients from this heterogeneous group to be stratified according to risk and enable clinicians to identify patients that are likely to benefit most from resource/timeintensive interventions. The aim of this manuscript is to describe the rationale behind PROPERmed collaboration, characteristics of the included studies/participants, development of the harmonized IPD database and challenges faced during this process.
Stichworte
Elderly; Hospitalization; Meta-analysis; Multimorbidity; Polypharmacy; Prognosis; Quality of life
Erscheinungsjahr
2021
Zeitschriftentitel
Mechanisms of Ageing and Development
Band
194
Art.-Nr.
111436
ISSN
0047-6374
eISSN
1872-6216
Page URI
https://pub.uni-bielefeld.de/record/2953826

Zitieren

Gonzalez-Gonzalez AI, Dinh TS, Meid AD, et al. Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mechanisms of Ageing and Development. 2021;194: 111436.
Gonzalez-Gonzalez, A. I., Dinh, T. S., Meid, A. D., Blom, J. W., van den Akker, M., Elders, P. J. M., Thiem, U., et al. (2021). Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mechanisms of Ageing and Development, 194, 111436. https://doi.org/10.1016/j.mad.2021.111436
Gonzalez-Gonzalez, A. I., Dinh, T. S., Meid, A. D., Blom, J. W., van den Akker, M., Elders, P. J. M., Thiem, U., de Gaudry, D. K., Snell, K. I. E., Perera, R., et al. (2021). Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mechanisms of Ageing and Development 194:111436.
Gonzalez-Gonzalez, A.I., et al., 2021. Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mechanisms of Ageing and Development, 194: 111436.
A.I. Gonzalez-Gonzalez, et al., “Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database”, Mechanisms of Ageing and Development, vol. 194, 2021, : 111436.
Gonzalez-Gonzalez, A.I., Dinh, T.S., Meid, A.D., Blom, J.W., van den Akker, M., Elders, P.J.M., Thiem, U., de Gaudry, D.K., Snell, K.I.E., Perera, R., Swart, K.M.A., Rudolf, H., Bosch-Lenders, D., Trampisch, H.-J., Meerpohl, J.J., Flaig, B., Kom, G., Gerlach, F.M., Hafaeli, W.E., Glasziou, P.P., Muth, C.: Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database. Mechanisms of Ageing and Development. 194, : 111436 (2021).
Gonzalez-Gonzalez, Ana I., Dinh, Truc S., Meid, Andreas D., Blom, Jeanet W., van den Akker, Marjan, Elders, Petra J. M., Thiem, Ulrich, de Gaudry, Daniela Kuellenberg, Snell, Kym I. E., Perera, Rafael, Swart, Karin M. A., Rudolf, Henrik, Bosch-Lenders, Donna, Trampisch, Hans-Joachim, Meerpohl, Joerg J., Flaig, Benno, Kom, Ghainsom, Gerlach, Ferdinand M., Hafaeli, Walter E., Glasziou, Paul P., and Muth, Christiane. “Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database”. Mechanisms of Ageing and Development 194 (2021): 111436.

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