This is the first empirical report comparing longitudinal and contextualised findings from a number of case studies of different organisational and management healthcare innovations. The findings made possible explanations for success factors and useful practical recommendations for conditions needed to nurture such innovation in public healthcare.

While considerable value has been paid to strategies to improve the internal efficiency within hospitals, this review raise the attention to the value of strategies of external effectiveness.

Background: Technology for timely feedback of data has the potential to support quality improvement (QI) in health care. However, such technology may pose difficulties stemming from the complex interaction with the setting in which it is implemented. To enable professionals to use data in QI there is a need to better understand of how to handle this complexity. This study aims to explore factors that influence the adoption of a technologysupported QI programme in an obstetric unit through a complexity informed framework. Methods: This qualitative study, based on focus group interviews, was conducted at a Swedish university hospital's obstetric unit, which used an analytics tool for advanced performance measurement that gave timely and case mix adjusted feedback of performance data to support QI. Data was collected through three focus group interviews conducted with 16 managers and staff. The Nonadoption, Abandonment, Scale-up, Spread, and Sustainability (NASS S) framework guided the data collection and analysis. Results: Staff and managers deemed the technology to effectively support ongoing QI efforts by providing timely access to reliable data. The value of the technology was associated with a clear need to make better use of existing data in QI. The data and the methodology in the analytics tool reflected the complexity of the clinical conditions treated but was presented through an interface that was easy to access and user friendly. However, prior understanding of statistics was helpful to be able to fully grasp the presented data. The tool was adapted to the needs and the organizational conditions of the local setting through a collaborative approach between the technology supplier and the adopters. Conclusions: Technology has the potential to enable systematic QI through motivating professionals by providing timely and adequate feedback of performance. The adoption of such technology is complex and requires openness for gradual learning and improvement.

PurposeDecentralisation in health care has been proposed as a way to make services more responsive to local needs and by that improve patient care. This study analyses how the senior management team conceptualised and implemented a decentralised management model within a large public health care delivery organisation.Design/methodology/approachData from in-depth interviews with a senior management team were used in a directed content analysis. Underlying assumptions and activities in the decentralisation process are presented in the logic model and scrutinised in an a priori logic analysis using relevant scientific literature.FindingsThe study found support in the scientific literature for the underlying assumptions that increased responsibility will empower managers as clinical directors know their local prerequisites best and are able to adapt to patient needs. Top management should function like an air traffic control tower, trust and loyalty improve managerial capacity, increased managerial skills release creativity and engagement and a system perspective will support collaboration and learning.Originality/valueTo the authors’ knowledge this is the first a priori logic analysis of a decentralised management model in a healthcare delivery organisation in primary and community care. It shows that the activities consist with underlying assumptions, supported by evidence, and timely planned give managers decision space and ability to use their delegated authority, not disregarding accountability and fostering necessary organisational and individual capacities to avoid suboptimisation.

One contribution of this study is to demonstrate the advantages, disadvantages, and challenges of a contextualized case study for increased understanding of factors influencing organizational change implementation. One lesson for current policy is to regard context factors that are critical for successful implementation.