Actors’ awareness of network governance in Child Welfare and Healthcare service networks

Blanken, Mariëlle; Mathijssen, Jolanda; Nieuwenhuizen, Chijs van; Raab, Jörg; Oers, Hans van

doi:10.1016/j.healthpol.2022.12.003

Cited by 5 publications

(2 citation statements)

References 69 publications

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“…Reviewing the most recent year of SNA study publications, this method was used in different research areas as well: Joyez and Laffineur (2022) studied the occupation space, network structure, centrality, and the potential of labor mobility in the French labor market; Flemming et al (2022) used the SNA method to identify networks of physicians responsible for the care of specific patient populations; Blanken et al (2023) studied intersectoral collaboration at a decentralized level, and information flows in child welfare and healthcare networks; and Arnold et al (2022) studied information exchange networks regarding chronic diseases in primary care practices in Germany.…”

Section: Social Network Analysis and Watershed Managementmentioning

confidence: 99%

The network analysis of organizations in watershed management toward sustainability in Northern Iran

Rezaei-Moghaddam

Fatemi

2023

Front. Environ. Sci.

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Introduction: The integrated water resource management is considered for development planning and water and soil resources management with an emphasis on the socio-economic features of the region for sustainability. The main purpose of study was to identify the organizations involved in the watershed management of Chehelchay of Golestan province in Iran, as well as analyzing the types of communications and interactions between organizations in terms of intensity and type.Methods: Three networks of information exchange, coordination and participation were studied due to network analysis. Thus, the related organizations involved in participatory and comprehensive management of Chehelchay watershed (30 organizations) were introduced during the trips of the research team to the site and using special questionnaire. Then, the other specialized questionnaires were collected from the informed panels of each organization to provide the required data in the network analysis. A total of 84 specialists were interviewed. About half of the respondents (42 individuals) had graduate education and their average work experience was about 15 years. One third of the respondents (28 individuals) were women. The data analysis process was performed with UCINET6.631 and NetDraw.Results and Discussion: The results indicated that the density index in information exchange (31.5%), coordination (27.5%) and participation (10%) networks were less than average. In the participation network, the values of the density index are very low and coherence is the same among the networks (information exchange, coordination, and participation). The results of reciprocity index among the organizational actors in the networks of information exchange (31.10%), coordination (33.52%) and participation (10.13%) were also less than average. Therefore, identifying the key actors with high social power in the network of local natural resources is a requirement of watershed participatory management plan. The runtime and cost of implementing natural resource projects can be significantly decreased by understanding and deploying these organizations and individuals. Social power and comprehensive participatory management is generally the key tools for building trust between local natural resource users. A systematic shift is also required from governmental management toward governance in order to achieve sustainable natural resource and watershed management.

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Section: Social Network Analysis and Watershed Managementmentioning

confidence: 99%

The network analysis of organizations in watershed management toward sustainability in Northern Iran

Rezaei-Moghaddam

Fatemi

2023

Front. Environ. Sci.

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“…Healthcare data distribution provides relevant information to users and reduces the latency range in providing healthcare services. A smart healthcare system framework is used in smart cities that distribute healthcare data from one end to another [2]. An organizational business model in the healthcare framework identifies healthcare data's essential features and principles.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Based Healthcare Service Dissemination Using Social Internet of Things and Cloud Architecture in Smart Cities

Kaliappan

Gnanamurthy²,

Yahya

et al. 2023

Sustainability

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Smart healthcare using the cloud and the Internet of Things (IoT) allows for remote patient monitoring, real-time data collection, improved data security, and cost-effective storage and analysis of healthcare data. This paper proposes an information-centric dissemination scheme (ICDS) for smart healthcare services in smart cities. The proposed scheme addresses the time sensitiveness of healthcare data and aims to ensure consistent dissemination. The ICDS uses decision-tree learning to classify requests based on time-sensitive features, allowing prioritization of access. The scheme also involves segregating sensitive information and distributing digital health data within the classified time to retain time sensitiveness and prioritize access. The learning is then modified for the leaves based on data significance and minimum resources to reduce waiting times and improve availability.

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Towards performance governance in healthcare: An analysis of Italian local health units

Bonomi Savignon,

Costumato,

Scalabrini

et al. 2024

Health Planning & Management

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PurposeBouckaert and Halligan (2008) proposed four ideal types of performance management systems, ranging from a disconnected and input‐led approach (performance administration) to a model in which performance management is fully integrated with both the internal and external context of an organisation (performance governance). This article empirically analyzes performance plans issued by Italian Local Health Units (LHUs) to provide a first nationwide snapshot of the different ideal‐types of performance management that each (LHUs) have reached, in a ‘performance governance’‐oriented perspective.DesignThis paper employs a qualitative methodology based on document analysis. The model orienting the analysis features six dimensions capturing the ideal‐types characteristics and what the Italian performance regulations prescribe. Data was derived from the performance plans adopted by the Italian LHUs on the condition that they made the documentation necessary for the analysis public on their institutional website.FindingsFor a ‘performance governance’ oriented approach, two elements are considered relevant: familiarity with the analysis of stakeholders and context. In our sample, consisting of 63 performance plans out of 99 Italian LHUs, it was challenging to identify specific territorial clusters, due to significant heterogeneity. The role of strategic objectives, integration between cycles, and context analysis seems to positively influence the orientation towards a ‘performance governance’ approach.Originality/ValueThe application of Bouckaert and Halligan's ideal‐types has only been episodically investigated in the healthcare sector, mainly at the individual health unit or Region level. This article's innovative contribution consists of conducting a qualitative analysis based on a replicable taxonomy that enables further national comparisons. Furthermore, it highlights the need for public healthcare systems to engage more with external stakeholders to improve the quality of their performance governance.

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Actors’ awareness of network governance in Child Welfare and Healthcare service networks

Cited by 5 publications

References 69 publications

The network analysis of organizations in watershed management toward sustainability in Northern Iran

The network analysis of organizations in watershed management toward sustainability in Northern Iran

Machine Learning Based Healthcare Service Dissemination Using Social Internet of Things and Cloud Architecture in Smart Cities

Towards performance governance in healthcare: An analysis of Italian local health units

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