A retrospective observational study of labour ward work Intensity: The challenge of maternity staffing.

BACKGROUND: The UK and Ireland are facing significant challenges in the recruitment and retention of midwifery staff. Deficiencies in staffing, training and leadership have been cited as contributory factors to substandard care in both regional and global independent maternity safety reports. Locally, workforce planning is critical to maintaining 'one to one' care for all women in labor and to meet the peaks of daily birthing suite activity. OBJECTIVES: Analyze the variation in work intensity, defined by the mean number and range of births per midwifery working hours. METHODS: Retrospective observational study of birthing suite activity between 2017 and 2020. 30,550 singleton births were reported during the study period; however, 6529 elective Cesarean sections were excluded as these were performed during normal working hours by a separate operating theatre team. The times of 24,021 singleton births were organized into five proposed midwifery working rosters lasting eight or 12 h; A (00.00-07.59), B (08.00-15.59), C (16.00-23.59), D (20.00-0.759) and E (0.800-19.59). RESULTS: The number of births was comparable between the eight-hour and 12-hour work periods with a mean of five to six babies born per roster (range zero to 15). Work periods D and E lasting 12-hours both recorded a mean of eight births (range zero to 18). Hourly births ranged from a minimum of zero to a maximum of five births per hour (greater than seven times the mean), a number that was achieved 14 times during the study period. CONCLUSIONS: The mean number of births is consistent between normal working hours and unsociable 'on-call' periods, however there is an extreme range of activity within each midwifery roster. Prompt escalation plans remain essential for maternity services to manage unexpected increases in demand and complexity. WHAT IS ALREADY KNOWN ON THIS TOPIC: Shortfalls in staffing and inadequate workforce planning have been frequently cited in recent maternity safety reports as barriers to sustainable and safe maternity care. WHAT THIS STUDY ADDS: Our study shows that the mean number of births in a large tertiary center are consistent across day and night rosters. However, there are large fluctuations in activity during which births can exceed the number of available midwives. HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY: Our study reflects the sentiments of the Ockenden review and APPG report on safe maternity staffing. Investment in services and the workforce to aid recruitment and reduce attrition is essential to establish robust escalation plans, including the deployment of additional staff in the event of extreme service pressures.

[The User Survey on the Revision of the Classification of Therapeutic Procedures]. / Die Anwenderbefragung zur Aktualisierung der Klassifikation therapeutischer Leistungen (KTL).

INTRODUCTION: An extensive user survey was conducted in the context of updating the Classification of Therapeutic Procedures (KTL 2015). This paper reflects the results of the user survey and raises critical discussion points. METHODS: The user survey was sent to all rehabilitation centers contracted by the German pension insurance as well as professional associations. The user survey was available both as a paper questionnaire and as an online version. The feedback of the user survey provided an important basis for the revision of the KTL. RESULT: The survey yielded 1,868 suggestions from 360 users. Most of them related to chapters E ("occupational therapy, work therapy, other functional therapy") and C ("information, motivation, training"). The change from German diplomas to the international Bachelor's and Master's degrees, and the inclusion of diagnostic and work-related procedures were the main focus of the user feedback. CONCLUSION: For the revision of the KTL, the user survey provided valuable information. Only by the inclusion of practitioners can the KTL meet the requirements of realistic and comprehensive acquisition of data on therapeutic procedures also in future.

[Cardiac rehabilitation in Germany: a successful model with promising prospects]. / Kardiologische Rehabilitation in Deutschland: Erfolgsmodell mit Perspektive.

Over the past 20 years the German Pension Insurance has rehabilitated nearly 800,000 patients with coronary heart disease. In particular, phase-II rehabilitation has been established as an integral part of cardiac patient care. However, the decreasing number of participants in phase-III must be seen critically. Today's cardiac rehabilitation is characterised by evidence-based treatment modules and a sophisticated quality assurance system that ensures quality orientation in all aspects, from access to rehabilitation through to aftercare. Future developments such as vocationally-oriented medical rehabilitation and the use of new technologies will further improve cardiac rehabilitation. Positive patient feedback and scientific evidence of the effectiveness of cardiac rehabilitation are further incentives to maintain this forward-looking approach.

[Quality assurance of rehabilitation by the German pension insurance: an overview]. / Ein aktueller Überblick zur Reha-Qualitätssicherung der Rentenversicherung.

The German pension insurance has in recent years developed a comprehensive programme for quality assurance in rehabilitation, and has implemented the programme into routine practice. Different aspects of rehabilitation are evaluated with differentiated instruments. Issues dealt with inter alia include the quality of rehabilitative care in a narrower sense, the structure and organisation of the rehabilitation centres, as well as quality from the patients' perspective. On the whole, positive results predominate. Big differences in quality however have been found between the rehabilitation centres. The data collections and data evaluations carried out make a continuous process of quality assurance reporting possible for use by rehabilitation centres and pension insurance agencies. This will enable targeted initiatives for quality improvement. The methods and procedures of quality assurance are enhanced at regular intervals, and the scope of quality assurance is extended. Thus, rehab quality assurance is also expanded to cover ambulant rehabilitation or rehabilitation of children and young people.

Rapid image recognition of body parts scanned in computed tomography datasets.

AIM: Automatic CT dataset classification is important to efficiently create reliable database annotations, especially when large collections of scans must be analyzed. METHOD: An automated segmentation and labeling algorithm was developed based on a fast patient segmentation and extraction of statistical density class features from the CT data. The method also delivers classifications of image noise level and patient size. The approach is based on image information only and uses an approximate patient contour detection and statistical features of the density distribution. These are obtained from a slice-wise analysis of the areas filled by various materials related to certain density classes and the spatial spread of each class. The resulting families of curves are subsequently classified using rules derived from knowledge about features of the human anatomy. RESULTS: The method was successfully applied to more than 5,000 CT datasets. Evaluation was performed via expert visual inspection of screenshots showing classification results and detected characteristic positions along the main body axis. Accuracy per body region was very satisfactory in the trunk (lung/liver >99.5% detection rate, presence of abdomen >97% or pelvis >95.8%) improvements are required for zoomed scans. CONCLUSION: The method performed very reliably. A test on 1,860 CT datasets collected from an oncological trial showed that the method is feasible, efficient, and is promising as an automated tool for image post-processing.