Anesthesia induction outside the OR can increase the number of surgical cases performed during a regular workday.

Parallel induction of anesthesia improves operating room (OR) efficiency. To support decision-making as to optimal facilities and optimal use of resources, we compared the cost-efficiency of several workflow models of parallel induction to that of the traditional model, using discrete-event simulation. For each scenario, average number of procedures performed, surgery time, daily over- and underutilized time, and staffing costs per operation were assessed. We also studied whether scheduling short and long procedures in separate rooms would amplify the effects of the parallel processing. All parallel work-flow models demonstrated better cost-efficiency than the traditionally sequenced working pattern. Staffing costs per procedure were 7% lower in the best induction model than in the traditional model. When short procedures were scheduled separately, differences between induction models were small.

Background The importance and potential benefits of introducing patient reported measures (PRMs) into health care service have been widely acknowledged, yet the experience regarding their implementation into practice is limited. There is a considerable paucity of research in adopting PRMs in maternity care routine. This study, which utilizes the PRMs included in Pregnancy and Childbirth (PCB) outcome set developed by International Consortium for Health Outcomes Measurement (ICHOM) as sample measures, aims to elicit Finnish professionals’ views on PRMs and to explore the applicability of PRMs in Finnish public maternity care. Methods This qualitative study, applying semi-structured interviews, described the local professionals’ views towards the application of PRMs in Finnish public maternity care. Professionals were asked to assess the PRMs defined in ICHOM PCB set and provide their expectations and concerns on the implementation of PRMs in Finnish public maternity service. Results Twenty professionals participated in the interviews. Participants agreed on the importance and relevance of the PRMs questions included in ICHOM PCB set for delivering and developing maternity care in Finland. However, they criticized the number and length of questions as well as the recommended time points of data collection. In addition, for a successful implementation, various steps like developing suitable questions, redesigning service pathway and protocols, and motivating women to respond to PRMs questions were considered to be important. Also, some potential obstacles, difficulties and risks associated with the implementation were underlined. Conclusion This study indicates that the implementation of PRMs into Finnish public maternity service is possible, highly relevant and important. However, the adoption of PRMs into routine practice may be challenging and will require a series of efforts. This study shows viewpoints from Finnish professionals who have not participated in developing the ICHOM PCB standard set and provides important insights on the development and implementation of PRMs.

Background and purposeFast-tracking shortens the length of the primary treatment period (length of stay, LOS) after total knee replacement (TKR). We evaluated the influence of the fast-track concept on the length of uninterrupted institutional care (LUIC) and other outcomes after TKR.Patients and methods4,256 TKRs performed in 4 hospitals between 2009–2010 and 2012–2013 were identified from the Finnish Hospital Discharge Register and the Finnish Arthroplasty Register. Hospitals were classified as fast track (Hospital A) and non-fast track (Hospitals B, C and D). We analyzed length of uninterrupted institutional care (LUIC), LOS, discharge destination, readmission, revision, manipulation under anesthesia (MUA) and mortality rate in each hospital. We compared these outcomes for TKRs performed in Hospital A before and after fast-track implementation and we also compared Hospital A outcomes with the corresponding outcomes for the other 3 hospitals.ResultsAfter fast-track implementation, median LOS in Hospital A fell from 5 to 3 days (p < 0.001) and (median) LUIC from 7 to 3 (p < 0.001) days. These reductions in LOS and LUIC were accompanied by an increase in the discharge rate to home (p = 0.01). Fast-tracking in Hospital A led to no increase in 14- and 42-day readmissions, MUA, revision or mortality compared with the rates before fast-tracking, or with those in the other hospitals. Of the 4 hospitals, LOS and LUIC were most reduced in Hospital A.InterpretationA fast-track protocol reduces LUIC and LOS after TKR without increasing readmission, complication or revision rates.