Verfahren der GIS-Modellierung von Erreichbarkeiten für Schlaganfallversorgungszentren

Rauch, Sebastian; Rauh, Jürgen

doi:10.1007/s13147-016-0432-5

Cited by 14 publications

(13 citation statements)

References 4 publications

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“…However, the approach has some limitations due to the data and its accuracy. In general, we assume, that in case of an emergency the closest facility will be chosen [ 42 , 46 , 59 , 60 ]. We are aware that this assumption is not always true in reality.…”

Section: Discussionmentioning

confidence: 99%

“…In the last decades a mostly economically motivated thinning of the supply networks of general hospitals, specialist clinics, general practitioners, pharmacies etc. has been observed with consequences of increasing travel times and a deterioration in accessibility, especially in peripheral areas [ 19 , 42 , 46 ] anticipate further hospital closures and cuts in the health care system that will also affect the area of stroke care.…”

Section: Introductionmentioning

confidence: 99%

“…Neis et al [ 41 ] mention the dataset is becoming comparable in quality to other geodata from commercial providers (also see [ 11 , 51 ]) especially in countries with active communities like in Germany. The successful usage of OSM has been demonstrated for accessibility analyses [ 42 , 46 , 53 , 66 ]. The influence of one-way streets was also be considered with the help of the data.…”

Section: Introductionmentioning

confidence: 99%

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Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

et al. 2021

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Purpose Rapid accessibility of (intensive) medical care can make the difference between life and death. Initial care in case of strokes is highly dependent on the location of the patient and the traffic situation for supply vehicles. In this methodologically oriented paper we want to determine the inequivalence of the risks in this respect. Methods Using GIS we calculate the driving time between Stroke Units in the district of Münster, Germany for the population distribution at day- & nighttime. Eight different speed scenarios are considered. In order to gain the highest possible spatial resolution, we disaggregate reported population counts from administrative units with respect to a variety of factors onto building level. Results The overall accessibility of urban areas is better than in less urban districts using the base scenario. In that scenario 6.5% of the population at daytime and 6.8% at nighttime cannot be reached within a 30-min limit for the first care. Assuming a worse traffic situation, which is realistic at daytime, 18.1% of the population fail the proposed limit. Conclusions In general, we reveal inequivalence of the risks in case of a stroke depending on locations and times of the day. The ability to drive at high average speeds is a crucial factor in emergency care. Further important factors are the different population distribution at day and night and the locations of health care facilities. With the increasing centralization of hospital locations, rural residents in particular will face a worse accessibility situation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

et al. 2021

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“…The involvement of all three levels of stroke care is a unique feature within networks located in Germany. A recently published analysis showed, that level-I-hospitals are situated predominantly at the edge of a 30-min-accessibility of level-III-hospitals [35].…”

Section: Study Region and Structure Of The Networkmentioning

confidence: 99%

Two years’ experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke)

Gabriel

Jiru-Hillmann

Kraft³

et al. 2020

BMC Neurol

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Background: Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years' experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. Methods: The TRANSIT-Stroke network covers a mainly rural region in northwestern Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I-and level-II/III-hospitals. Results: Overall, 7881 patients were included (mean age 74.6 years ±12.8; 48.4% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31%), mainly in secondary stroke prevention; b) improvement over time (44%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. Conclusion: The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals.

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“…In den vergangenen Jahren sind immer wieder Untersuchungen veröffentlicht worden, die Fragen regionaler Erreichbarkeiten von Einrichtungen und Dienstleistungen der Daseinsvorsorge mittels GIS-basierten Erreichbarkeitsanalysen behandeln (Neumeier 2014;Rauch/Rauh 2016;Ahlmeyer/Wittowsky 2018;Rauh/ Rauch 2019). Ambulante Pflegedienste stellen bislang allerdings eher selten einen Untersuchungsgegenstand in Veröffentlichungen dar, wobei als Ausnahmen hier die umfangreichen Beiträge von Neumeier (2015Neumeier ( , 2016 mit deutschlandweitem Bezugsrahmen zu nennen sind.…”

Section: Gis-supported Modelling Of the Accessibility Of Outpatient Care Services According To Sgb V And Sgb Xi In Lower Franconia Under unclassified

GIS-gestützte Modellierung der Erreichbarkeiten ambulanter Pflegedienste nach SGB V und SGB XI in Unterfranken unter Berücksichtigung demographischer Entwicklungen

Burk

Meyer

Peters

et al. 2020

Raumforschung Und Raumordnung | Spatial Research and Planning

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KurzfassungZiel des Beitrags ist die Untersuchung und Bewertung der Erreichbarkeit der Bevölkerung durch ambulante Pflegedienste in Unterfranken unter Einbeziehung der räumlich differenzierten Bevölkerungsstruktur für das Jahr 2017 sowie der voraussichtlichen demographischen Entwicklung bis 2025. Die Erreichbarkeiten werden sowohl rasterbasiert als auch vektorbasiert in einer GIS-Software modelliert. Darüber hinaus werden demographische Entwicklungen in der Altersgruppe „80 Jahre und älter“ eingebunden. Die Ergebnisse der rasterbasierten Fahrzeitenmodellierung zeigen flächenhaft relativ gute Erreichbarkeiten, mit Ausnahme weniger peripherer Gebiete. Mittels vektorbasierter Fahrzeitenmodellierung werden Einzugsgebiete, welche auf Personalkosten und Anfahrtspauschalen nach SGB V und SGB XI als Berechnungsgrundlagen basieren, für ambulante Pflegedienste berechnet. Es zeigt sich, dass in Teilen Unterfrankens keine ausreichende Kostendeckung gegeben ist. Hinsichtlich der skizzierten Bevölkerungsentwicklung sowie unzureichender Fahrtkostendeckung im Bereich der Mittelgebirge und abseits der Verdichtungsräume wird eine Flexibilisierung der Anfahrtsvergütung sowie eine Aufstockung des Pflegepersonals empfohlen.

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Verfahren der GIS-Modellierung von Erreichbarkeiten für Schlaganfallversorgungszentren

Cited by 14 publications

References 4 publications

Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

Two years’ experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke)

GIS-gestützte Modellierung der Erreichbarkeiten ambulanter Pflegedienste nach SGB V und SGB XI in Unterfranken unter Berücksichtigung demographischer Entwicklungen

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