Wirbka L - Search Results

1

Mortality and Hospitalizations Among Patients Enrolled in an Interprofessional Medication Management Program.

Meid AD, Wirbka L, Moecker R, Ruff C, Weissenborn M, Haefeli WE, Seidling HM; ARMIN study team. Meid AD, et al. Among authors: wirbka l. Dtsch Arztebl Int. 2023 Apr 14;120(15):253-260. doi: 10.3238/arztebl.m2023.0014. Dtsch Arztebl Int. 2023. PMID: 37070272 Free PMC article.

2

Attitudes of non-participating general practitioners and community pharmacists towards interprofessional medication management in primary care: an interview study.

Moecker R, Fuchs A; ARMIN Study Group; Haefeli WE, Weissenborn M, Seidling HM. Moecker R, et al. Int J Clin Pharm. 2022 Dec;44(6):1380-1393. doi: 10.1007/s11096-022-01434-3. Epub 2022 Oct 8. Int J Clin Pharm. 2022. PMID: 36209306 Free PMC article.

3

A prediction model for nonpersistence or nonadherence to direct oral anticoagulants in hospitalized patients with atrial fibrillation.

Wirbka L, Ruff C, Haefeli WE, Meid AD. Wirbka L, et al. J Manag Care Spec Pharm. 2022 Oct;28(10):1161-1172. doi: 10.18553/jmcp.2022.28.10.1161. J Manag Care Spec Pharm. 2022. PMID: 36125062 Free PMC article.

4

Task sharing in an interprofessional medication management program - a survey of general practitioners and community pharmacists.

Moecker R, Weissenborn M, Klingenberg A, Wirbka L, Fuchs A, Eickhoff C, Mueller U, Schulz M, Kaufmann-Kolle P; ARMIN Study Group; Haefeli WE, Seidling HM. Moecker R, et al. Among authors: wirbka l. BMC Health Serv Res. 2022 Aug 6;22(1):1005. doi: 10.1186/s12913-022-08378-4. BMC Health Serv Res. 2022. PMID: 35933349 Free PMC article.

5

Predicting Hospital Readmissions from Health Insurance Claims Data: A Modeling Study Targeting Potentially Inappropriate Prescribing.

Gerharz A, Ruff C, Wirbka L, Stoll F, Haefeli WE, Groll A, Meid AD. Gerharz A, et al. Among authors: wirbka l. Methods Inf Med. 2022 May;61(1-02):55-60. doi: 10.1055/s-0042-1742671. Epub 2022 Feb 10. Methods Inf Med. 2022. PMID: 35144291

6

Can Machine Learning from Real-World Data Support Drug Treatment Decisions? A Prediction Modeling Case for Direct Oral Anticoagulants.

Meid AD, Wirbka L; ARMIN Study Group; Groll A, Haefeli WE. Meid AD, et al. Among authors: wirbka l. Med Decis Making. 2022 Jul;42(5):587-598. doi: 10.1177/0272989X211064604. Epub 2021 Dec 15. Med Decis Making. 2022. PMID: 34911402 Free PMC article.

7

Estimated Thresholds of Minimum Necessary Adherence for Effective Treatment with Direct Oral Anticoagulants - A Retrospective Cohort Study in Health Insurance Claims Data.

Wirbka L, Haefeli WE, Meid AD; ARMIN Study Group. Wirbka L, et al. Patient Prefer Adherence. 2021 Sep 24;15:2209-2220. doi: 10.2147/PPA.S324315. eCollection 2021. Patient Prefer Adherence. 2021. PMID: 34594102 Free PMC article.

8

Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions.

Ruff C, Gerharz A, Groll A, Stoll F, Wirbka L, Haefeli WE, Meid AD. Ruff C, et al. Among authors: wirbka l. PLoS One. 2021 Apr 26;16(4):e0250298. doi: 10.1371/journal.pone.0250298. eCollection 2021. PLoS One. 2021. PMID: 33901203 Free PMC article.

9

Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data.

Meid AD, Ruff C, Wirbka L, Stoll F, Seidling HM, Groll A, Haefeli WE. Meid AD, et al. Among authors: wirbka l. Clin Epidemiol. 2020 Nov 2;12:1223-1234. doi: 10.2147/CLEP.S274466. eCollection 2020. Clin Epidemiol. 2020. PMID: 33173350 Free PMC article.

10

A framework to build similarity-based cohorts for personalized treatment advice - a standardized, but flexible workflow with the R package SimBaCo.

Wirbka L, Haefeli WE, Meid AD. Wirbka L, et al. PLoS One. 2020 May 29;15(5):e0233686. doi: 10.1371/journal.pone.0233686. eCollection 2020. PLoS One. 2020. PMID: 32470056 Free PMC article.

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