Understanding the emergence and development of medical collaboration across organizational boundaries: A longitudinal case study

Family physicians collaborating for health system integration: a scoping review

BACKGROUND

In Canada, Ontario Health Teams (OHTs) are a new model for integrated healthcare. Core to OHTs are family physicians (FPs) and their ability to collaborate with other FPs and healthcare providers. Whereas the factors for intra-organizational collaboration have been well-studied, inter-organizational collaboration between FPs and other healthcare organizations as an integrated care network, are less understood. This paper aims to explore the structural factors, processes, and theoretical frameworks that support FPs' collaboration for integrated healthcare.

METHODS

A scoping review was undertaken based on Joanna Briggs Institute (JBI) methodology for scoping review and using the Preferred Reporting Items for Systematic Review and Meta-Analysis for Scoping Review (PRISMA_ScR) checklist. A search for academic and relevant grey literature published between 2000-2021 was conducted across databases (MEDLINE, EMBASE, EBSCOhost).Thematic analysis was used to identify the key findings of the selected studies.

RESULTS

Thirty-two studies were included as eligible for this review. Three structural components were identified as critical to FPs' successful participation in inter-organizational partnerships: (1) shared vision/values, (2) leadership by FPs, and (3) defined decision-making procedures. Also, three processes were identified: (1) effective communication, (2) a collective sense of motivation for change, and (3) relationships built on trust. Three theoretical frameworks provided insight into collaborative initiatives: (1) Social Identity Approach, (2) framework of interprofessional collaboration, and (3) competing values framework.

CONCLUSION

FPs hold unique positions in healthcare and this review is the first to synthesize the best evidence for building collaborations between FPs and other healthcare sectors. These findings will inform collaboration strategies for healthcare integration, including with OHTs.

Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study

Background

The application of big data resources and the development of medical collaborative networks (MCNs) boost each other. However, MCNs are often assumed to be exogenous. How big data resources affect the emergence, development, and evolution of endogenous MCNs has not been well explained.

Objective

This study aimed to explore and understand the influence of the mechanism of a wide range of shared and private big data resources on the transaction efficiency of medical services to reveal the impact of big data resources on the emergence and development of endogenous MCNs.

Methods

This study was conducted by administering a survey questionnaire to information technology staff and medical staff from 132 medical institutions in China. Data from information technology staff and medical staff were integrated. Structural equation modeling was used to test the direct impact of big data resources on transaction efficiency of medical services. For those big data resources that had no direct impact, we analyzed their indirect impact.

Results

Sharing of diagnosis and treatment data (β=.222; P=.03) and sharing of medical research data (β=.289; P=.04) at the network level (as big data itself) positively directly affected the transaction efficiency of medical services. Network protection of the external link systems (β=.271; P=.008) at the level of medical institutions (as big data technology) positively directly affected the transaction efficiency of medical services. Encryption security of web-based data (as big data technology) at the level of medical institutions, medical service capacity available for external use, real-time data of diagnosis and treatment services (as big data itself) at the level of medical institutions, and policies and regulations at the network level indirectly affected the transaction efficiency through network protection of the external link systems at the level of medical institutions.

Conclusions

This study found that big data technology, big data itself, and policy at the network and organizational levels interact with, and influence, each other to form the transaction efficiency of medical services. On the basis of the theory of neoclassical economics, the study highlighted the implications of big data resources for the emergence and development of endogenous MCNs.

The Role of Collaborative Healthcare in Improving Social Sustainability: A Conceptual Framework

Healthcare systems around the world face both increasing demands and inequality in service distribution. The current trend is for collaboration among healthcare actors, named as collaborative healthcare, in order to address challenges such as these to improve the social sustainability of the system. That is to provide accessible and equitable healthcare services to meet people’s health and well-being needs. Based on an integrative literature review, this study aims at crafting a conceptual framework to explore how collaborative healthcare networks contribute to social sustainability and the specific actors involved in these collaborations. It identifies relationships between different collaborative healthcare networks and social sustainability. Interprofessional networks have been the most studied in relation to social sustainability. Communication and sharing information or knowledge have been identified as used collaborative healthcare practices. This study contributes theoretically by considering a new model of the healthcare organization in which collaborative networks play a central role in improving social sustainability. In terms of practical implications, the study provides managers and policy makers with investment insights on a range of collaborative networks and practices.