Do breast cancer patients receive less support from physicians in German hospitals with high physician workload? A multilevel analysis

Ansmann, Lena; Kowalski, Christoph; Ernstmann, Nicole; Ommen, Oliver; Jung, Julia; Visser, Adriaan; Pfaff, Holger

doi:10.1016/j.pec.2013.06.016

Cited by 20 publications

(15 citation statements)

References 43 publications

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“…In the literature on patient satisfaction, staff workload has been found as one of the factors influencing patient satisfaction negatively (Ansmann et al, ). This could be particularly relevant for patient satisfaction with respect to those domains of responsiveness that might imply a strong interaction between patients and staff.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, many studies have investigated the influence on patient satisfaction of hospital size (e.g., Young et al, ; Sjetne et al, ; Bacon & Mark, ; Hekkert, Cihangir, Kleefstra, Van den Berg, & Kool, ; Murante, Seghieri, Brown, & Nuti, ) and of case mix (e.g., Bacon & Mark, ; Ansmann et al, ). Although these variables are not strictly linked to responsiveness, we include them as controls for the hospital organisational models.…”

Section: Introductionmentioning

confidence: 99%

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How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna

2017

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Several studies of health system responsiveness focus on the demand-side by investigating the association between socio-demographic characteristics of patients and their reported level of responsiveness. However, little is known about the influence of supply-side factors. This paper addresses that research gap by analysing the role of hospital-specialty characteristics in explaining variations in patients' evaluation of responsiveness from a sample of about 38,700 in-patients treated in public hospitals within the Italian Region of Emilia-Romagna. The analysis is carried out by adopting a two-step procedure. First, we use patients' self-reported data to derive five measures of responsiveness at the hospitalspecialty level. By estimating a generalised ordered probit model, we are able to correct for variations in individual reporting behaviour due to the health status of patients and their experience of being in pain. Secondly, we run cross-sectional regressions in order to investigate the association between patients' responsiveness and potential supply-side drivers, including waiting times, staff workload, the level of spending on non-clinical facilities, the level of spending on staff education and training, and the proportion of staff expenditure between nursing and administrative staff. Results suggest that responsiveness is to some extent influenced by the supply-side drivers considered.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna

2017

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“…The questionnaire, approved by the ethics committee of the medical faculty of the University of Cologne, was conducted in the style of the total design method [24] with three attempts at contact, and was supplemented by the clinical data supplied by the hospitals. Further details have already been described elsewhere [25][26][27].…”

Section: Methodsmentioning

confidence: 99%

Psychosocial Information Requirements for Multimorbid Breast Cancer Patients in Breast Centres in North Rhine Westphalia

Schmitz

Ernstmann

2015

Geburtshilfe Frauenheilkd

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“…It was found, for example, that the deployment of Breast Care nurses correlated with higher levels of patient satisfaction with nursing care [32]. Another finding was that patients treated in hospitals where physicians had very heavy workloads reported that they felt less supported by their physicians [31]. Such findings provide a further impetus for Breast Centers to continue improving their already high standards of care through organizational and staff development strategies.…”

Section: Strengths and Weaknessesmentioning

confidence: 99%

“…The data can also be used to show differences in real patient care based on patient characteristics and the characteristics of different Breast Centers and to highlight long-term trends in patient care. An attempt was made to explain the reasons for any deficits revealed by the survey by carrying out additional investigations, for example, by carrying out a survey among the senior management and staff of the Breast Centers (EBRU II study carried out by the IMVR, supported by the State Center for Health NRW [29][30][31]). Combining the perspective of patients with those of the management and staff working in the Breast Centers provides the opportunity to investigate correlations between the work situation and organization in the hospitals and the quality of care as perceived by the patients.…”

Section: Strengths and Weaknessesmentioning

confidence: 99%

Ten Years of Patient Surveys in Accredited Breast Centers in North Rhine-Westphalia

Kowalski

Pfaff

2016

Geburtshilfe Frauenheilkd

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Einleitung: Patientenbefragungen sind ein etabliertes Instrument zur Qualitätssicherung in Versorgungseinrichtungen. In diesem Artikel werden die Gestaltung und Weiterentwicklung der jährlichen Befragung von Brustkrebspatientinnen in nordrhein-westfälischen Brustzentren sowie ausgewählte Ergebnisse über den Verlauf von 10 Jahren diskutiert. Material und Methoden: Seit 2006 befragt das Institut für Medizinsoziologie, Versorgungsforschung und Rehabilitationswissenschaft (IMVR) der Universität zu Köln jährlich Patientinnen und Patienten mit primärem Mammakarzinom, die zwischen Februar und Juli jeden Jahres in einem von der Ärztekammer Westfalen-Lippe zertifizierten nordrhein-westfälischen Brustzentrum operiert worden sind, mit dem Kölner Patientenfragebogen für Brustkrebs. Der eingesetzte Fragebogen sowie die Ergebnisrückmeldung an die Brustzentren zur kontinuierlichen Verbesserung wurden in 2014 grundlegend überarbeitet. Ausgewählte Ergebnisse werden über den Zeitverlauf deskriptiv analysiert. Ergebnisse: Nach dem Befragungszeitraum von 10 Jahren lassen sich Aussagen zur Versorgungsrealität in den Brustzentren anhand von Daten zu 40 000 Patientinnen treffen. In einigen Bereichen sind über den Zeitverlauf positive Entwicklungen zu erkennen. Schlussfolgerungen: Das Befragungsvorgehen, der Kölner Patientenfragebogen für Brustkrebs 2.0 sowie die benchmarkorientierte Art der Ergebnisrückmeldung geben Impulse zum organisationalen Lernen in den Brustzentren. Das Konzept könnte auch in anderen Versorgungseinrichtungen zum Lernen und zu einer verbesserten Versorgung anregen.

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Do breast cancer patients receive less support from physicians in German hospitals with high physician workload? A multilevel analysis

Cited by 20 publications

References 43 publications

How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna

How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna

Psychosocial Information Requirements for Multimorbid Breast Cancer Patients in Breast Centres in North Rhine Westphalia

Ten Years of Patient Surveys in Accredited Breast Centers in North Rhine-Westphalia

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