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Braithwaite, J., Clay-Williams, R., Taylor, N., Ting, HP., Winata, T., Arnolda, G., Sunol, R., Gröne, O., Wagner, C., Klazinga, NS., Donaldson, L., Dowton, SB (2019). Bending the quality curve. In: International Journal for Quality in Health Care. 2019 Dec 10, 1-7. Link

With this paper, the authors initiate the Supplement on Deepening our Understanding of Quality in Australia (DUQuA). DUQuA is an at-scale, cross-sectional research programme examining the quality activities in 32 large hospitals across Australia.

Siegel, A., Ehmann, AT., Meyer, I., Gröne, O., Niebling, W., Martus, P., Rieger, MA. (2019). PEN-13: A New Generic 13-Item Questionnaire for Measuring Patient Enablement (German Version). In: International Journal of Environmental Research and Public Health. 2019 Dec 3;16(23). Link

The purpose of this study was to develop and psychometrically test a German-language survey instrument that measures patient enablement generically and in greater detail than previous instruments.

Gröne, O., Sunol, R. (2019). Quality improvement is complex and contextual. In: BMJ. 2019 Oct 25. Link

The authors react to an article by Dixon-Woods, discuss the current limitations of quality improvement in healthcare and how to deal with them.

Kringos, DS., Groene, O., Johnsen, SP. (2019). Training the First Generation of Health Care Performance Intelligence Professionals in Europe and Canada. In: Academic Medicine. 2019 Jun;94(6):747-748. Link

The authors argue that a new type of professional called an information counselor needs to be trained to turn data into meaningful information for clinical practice, supporting providers and patients.

Rabenberg A., Schulte T., Hildebrandt H., Wehling M. The  FORTA (Fit for the Aged) – EPI (Epidemiological) Algorithm: Application of an Information Technology Tool for the Epidemiological Assessment of Drug Treatment in Older People, Drugs & Aging, Springer International Publishing, August 2019 Link

The authors present the FORTA-EPI algorithm developed based on the FORTA (Fit fOR The Aged) classification, which rates active pharmaceutical ingredients in connection with age-relevant indications hierarchically from A (positive) to D (negative). It will be shown how this electronic tool can identify potential for improvement in drug supply and in so doing contribute to preventing drug interactions and unnecessary stays in hospital.

Stahl K. (2019), Predictors of intra- and postpartum care experience: key dimensions of quality of care from women’s perspective. GMS Z Hebammenwissen 2019;6:Doc01, 11-20. Link

The aim of this study is to explore the factors influencing the overall intrapartum care experience in the labour ward as well as the overall experience of postnatal care in the maternity ward.

Tanke MAC, Feyman Y, Bernal-Delgado E, Deeny SR, Imanaka Y, Jeurissen P, Lange L, Pimperl A, Sasaki N, Schull M, Wammes JJG, Wodchis WP, Meyer GS. A challenge to all. A primer on inter-country differences of high-need, high-cost patients. PLOS ONE, Juni 2019, 14(6): e0217353. Link

The authors conducted a cross-sectional descriptive study using one year of patient-level data on high-cost patients in seven high-income OECD member countries.