Evidence map›Paper›PMID 41557177›Full record

ArticleArchives of gynecology and obstetrics2026

Digital maternity care in Germany: a cross-sectional web-based survey on midwives' perceptions.

Sebastian Griewing, Pia Teske, Johannes Wichmann, Zoe Oftring, Johannes Knitza, Corinna Keil, Nikolas Tauber, Jule Däumichen, Marc Potthast, Stephanie Wallwiener and 6 more

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Sebastian GriewingInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany. s.griewing@uni-marburg.de.
Pia TeskeMidwifery Science, Department of Health Sciences, Fulda University of Applied Sciences, Fulda, Germany.
Johannes WichmannResearch Group Digitalization and Process Management, Department of Economics, Philipps-University Marburg, Marburg, Germany.
Zoe OftringInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany.
Johannes KnitzaInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany.
Corinna KeilClinic of Obstetrics and Gynecology, Department of Medicine, Philipps-University Marburg, University Hospital Giessen and Marburg, Campus Marburg, Marburg, Germany.
Nikolas TauberClinic of Obstetrics and Gynecology, Department of Medicine, University Hospital Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Jule DäumichenInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany.
Marc PotthastInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany.
Stephanie WallwienerClinic of Obstetrics and Gynecology, Department of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Uwe WagnerClinic of Obstetrics and Gynecology, Department of Medicine, Philipps-University Marburg, University Hospital Giessen and Marburg, Campus Marburg, Marburg, Germany.
Markus WallwienerClinic of Obstetrics and Gynecology, Department of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Niklas GremkeClinic of Obstetrics and Gynecology, Department of Medicine, Philipps-University Marburg, University Hospital Giessen and Marburg, Campus Marburg, Marburg, Germany.
Michael LeyerResearch Group Digitalization and Process Management, Department of Economics, Philipps-University Marburg, Marburg, Germany.
Hanna GehlingMidwifery Science, Department of Health Sciences, Fulda University of Applied Sciences, Fulda, Germany.
Sebastian KuhnInstitute for Digital Medicine, Department of Medicine, Philipps-University Marburg, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMaternity care is a central component of any healthcare system and is largely provided by midwives. Considering increasing cost pressures and growing demand for efficiency within the German healthcare system, the development of efficient, digitally supported care models are both encouraged and actively promoted, especially in pregnancy. However, to date, no such model has been sustainably established in the field of maternity care. In particular, the perspectives of midwives have largely been neglected.

methodsAs part of an initial needs assessment for the Participatory Design of a digitally supported maternity care model, this study uses a cross-sectional web-based questionnaire to explore midwives' perceptions of their current work situation, use of digital tools and digital pregnancy care.

results92.2% of participants (n = 129) perceive increasing strain on maternity care in Germany (5-point Likert; M = 4.49, SD = ± 0.69). 87.6% use a variety of digital tools in their professional environment, yet unvalidated and unauthorized solutions. Self-perceived digital competence is high (10-point NRS; 7.09 ± 1.48). The intention to use the technology decreases in parallel with the level of awareness, being highest for the electronic patient record (5-point Likert; 72.1%; 3.84 ± 0.97) and lowest for artificial intelligence (38.8%; 3.17 ± 1.05).

conclusionThe study highlights midwives' openness to digital solutions, their active, though informal, use of such tools, and emphasizes the need to integrate their perspectives into the development of certified, sustainable digital care models in maternity care within an increasingly strained healthcare system.

Indexed as

Attitude of Health PersonnelMaternal Health ServicesMidwiferyAdultCross-Sectional StudiesDigital HealthDigital MediaElectronic Health RecordsFemaleGermanyHumansInternetMiddle AgedPregnancySurveys and QuestionnairesArtificial intelligenceDigital healthMidwiferyObstetricsTelemedicine

Identifiers

PMID41557177
PMCPMC12819535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.