scholarly journals Patient Experience Shows Little Relationship with Hospital Quality Management Strategies

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0131805 ◽  
Author(s):  
Oliver Groene ◽  
Onyebuchi A. Arah ◽  
Niek S. Klazinga ◽  
Cordula Wagner ◽  
Paul D. Bartels ◽  
...  
Keyword(s):  
Quality Management ◽  
Patient Experience ◽  
Management Strategies ◽  
Hospital Quality

scholarly journals Do organization-level quality management systems influence department-level quality? A cross-sectional study across 32 large hospitals in Australia

2020 ◽  
Vol 32 (Supplement_1) ◽  
pp. 35-42
Author(s):  
Natalie Taylor ◽  
Robyn Clay-Williams ◽  
Hsuen P Ting ◽  
Gaston Arnolda ◽  
Teresa Winata ◽  
...  
Keyword(s):  
Quality Management ◽  
Management System ◽  
Quality Management System ◽  
Management Strategies ◽  
Hospital Quality ◽  
Management Systems ◽  
Quality Systems ◽  
Cross Sectional ◽  
Quality Management Systems ◽  
Organization Level

Abstract Objective Little is known about the influence that hospital quality systems have on quality at department level, in Australia and elsewhere. This study assessed the relationships between organizational-level quality management systems, and the extent to which hospital-level quality management systems and department-level quality management strategies are related. Design A multi-level, cross-sectional, mixed-method study. Setting and participants As part of the Deepening our Understanding of Quality in Australia (DUQuA) project, we invited all large hospitals in Australia (~200 or more beds) which provided acute myocardial infarction (AMI), hip fracture and stroke care. The quality managers of these hospitals were the respondents for one of seven measures of hospital quality management systems and strategies. Data across the six remaining measures were collected through site visits by external surveyors assessing the participating hospitals. Main outcome measures Relationships were assessed between three organization-level quality management system measures: a self-report measure assessing organization-level quality activities (quality management systems index, QMSI); externally assessed organization-level compliance to procedures used to plan, monitor and improve quality of care (quality management compliance index, QMCI); and externally assessed implementation of quality systems (clinical quality implementation index, CQII). Associations were also assessed between organization-level quality management systems and department-level quality management strategies: how clinical responsibilities are assigned for a particular condition; whether department organization processes are organized to facilitate evidence-based care recommendations; compliance with selected recommendations of international agencies; and whether clinical reviews are performed systematically. Results Of 78 invited hospitals, 32 participated in the study. QMSI was positively associated with QMCI and CQII, but after controlling for QMSI, no relationship was found between QMCI and CQII. There appears to be a cluster of relationships between QMSI and department-level measures, but this was not consistent across all departments. Conclusion This is the first national study undertaken in Australia to assess relationships within and between organization-level and department-level quality management systems. These quality management system tools align with many components of accreditation standards and may be useful for hospitals in continuously monitoring and driving improvement.

Integrating institutions into a socio-hydrological model: an example for water quality management in Burkina Faso

2021 ◽  
Author(s):  
Gemma Carr ◽  
Marlies Barendrecht ◽  
Liza Debevec ◽  
Bedru Balana
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Burkina Faso ◽  
Hydrological Model ◽  
Water Quality Management ◽  
Management Strategies ◽  
Agricultural Practices ◽  
Natural System ◽  
Riparian Zones ◽  
Hydrological Models

<p>The variety of demands that people place on water resources, coupled with the dynamics of the natural system, make water resource management highly complex. Models that can integrate aspects of society such as institutions, perceptions and behaviors along with aspects of the natural system such as rainfall, runoff and water quality could offer a realistic approach to better understand and manage these complex systems. Much research progress in the development of such socio-hydrological models has been achieved in recent years. However, many gaps exist on how the decisions and actions of institutions and agencies, and their subsequent impacts on individuals, can be integrated within such models. In this study, a socio-hydrological model was developed using a set of empirical field data from the Black Volta (Mouhoun) watershed in south west Burkina Faso. Cultivation of the riparian zones and use of agrochemicals are commonly associated with increased sedimentation in the river and water pollution, respectively. The model aims to capture the relationships between agency support for water quality management, the capacity of local organizations to support farmers and land users, land use changes in the riparian zones, improved agricultural practices employed by farmers (e.g., reduced tillage, organic farming, or cultivating tree crops rather than vegetables), and suspended sediment concentration in the river as an indicator of water quality. The model is set up to reflect the current situation and scenarios are generated depicting plausible pathways to achieve improved water quality through riparian land management strategies. Comparison of the modelled scenarios shows that water quality could be improved if institutional support and public resource allocation for water management is raised, and the capacity of local level organizations is substantially increased compared to current levels. Semi-quantitative socio-hydrological models, such as the one developed in this study, may provide insights for the comparison and prioritization of different management strategies and guide interventions or support mechanisms that enable riparian land users to change their agricultural practices and lead to water quality improvements.</p>

Integration model of total quality management and six sigma in hospital quality management

2021 ◽  
pp. 1439-1442 ◽  
Author(s):  
Guspianto Guspianto ◽  
Al Asyary ◽  
Ismi Nurwaqiah Ibnu
Keyword(s):  
Quality Management ◽  
Structural Model ◽  
Hospital Performance ◽  
Structural Equations ◽  
Hospital Quality ◽  
Model Fit ◽  
Total Quality ◽  
Integration Model ◽  
Confirmatory Factor ◽  
Core Practice

Implementation of quality management is very important for hospitals to improve processes, solve problems, and reduce variations and errors in service, including through the implementation of popular Total Quality Management (TQM) and Six Sigma (SS) as new quality management strategies to increase profitability, effectiveness and efficiency of the organization's operations to meet customer’s needs. This study aims to develop an integrated hospital quality management model from the practice of TQM and SS to provide synergy in improving hospital performance. The study design was cross sectional through a survey using a questionnaire on 863 respondents, namely all employees ranging from doctors to administrative personnel at 8 hospitals. The TQM and SS practice integration model identified as “Quality Management Alliance Model (QMA)” consists of 6 variable constructs, namely: Management Practice (MP); TQM Infrastructure Practice (IPTQM); SS Infrastructure Practice (IPSS); Core Practice TQM (CPTQM); Core Practice SS (CPSS); and Hospital Performance (KRS) with 12 structural equations hypothesized. Data analysis are performed using Structural Equation Model through 2 tests, namely analysis of measurement models using confirmatory factor analysis (CFA) second order approach and structural model analysis. The results of the first order confirmatory factor analysis (CFA) analysis, after issuing invalid indicators (SLF≤0.5 and t≤1.96), obtained constructs of latent variables with models fit, valid, and reliable. Then in the second order CFA analysis on the overall model after being simplified through LVS (latent variable score) the study obtained construct model fit, valid and reliable. The results of the structural model analysis obtained a model fit with 11 structural equations that are positively and significantly related (t> 1.96). This study proves that the QMA model is feasible and can be applied to measure the implementation of hospital quality management. Hospital management is recommended to implement the QMA Model optimally to improve performance.

Development of water quality management strategies for the proposed isikli reservoir

1998 ◽  
Vol 37 (2) ◽  
pp. 369-376 ◽  
Author(s):  
Orhan Gündüz ◽  
Selçuk Soyupak ◽  
Coskun Yurteri
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Treatment Options ◽  
Water Quality Management ◽  
Management Strategies ◽  
Pollution Sources ◽  
Water Quality Standards ◽  
Quality Model ◽  
Control Techniques ◽  
Administrative Control

A two-dimensional laterally averaged hydrodynamic and water quality model (CE-QUAL-W2) is used to simulate the water quality behavior in the proposed Isikli Reservoir of the Ankara Water Supply System to determine appropriate strategies for the management of water quality. Isikli application of the model is used to demonstrate the potential water quality degradation patterns in the reservoir under different pollution loads. The results of the modeling study are compared with the drinking water quality standards currently effective in Turkey to formulate various water quality management strategies for the reservoir and its catchment area. In addition, various treatment options are evaluated considering the existing treatment system of Ankara City. Based on the findings of this study, treatment or interception of wastewaters originating from the existing pollution sources around the reservoir area are introduced as the major infrastructural control techniques. Further, establishment of protection zones around the reservoir and relocating the possible pollution sources to a point downstream of the dam axis are found to be the most applicable administrative control methods for water quality preservation in the proposed reservoir.

Public perception and water quality management

1996 ◽  
Vol 34 (12) ◽  
pp. 25-32 ◽  
Author(s):  
Margaret A. House
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Management ◽  
Environmental Quality ◽  
Public Perception ◽  
Water Quality Management ◽  
Management Strategies ◽  
Water Environment ◽  
Surface Water Quality ◽  
The Impact

The visual and odorous characteristics of the environment tend to be those which have the greatest impact upon the public's assessment of environmental quality. In many cases the public's perception of water quality may be based entirely on these aesthetic aspects of a water environment. Those responsible for the management of surface water quality recognise the need to apply a range of management strategies including a consideration of the public's perception of water quality and the impact of this upon their use of rivers and beaches for recreation and amenity. This paper reports upon the results from a recent investigation into the impact of sewage derived litter on perceived water and environmental quality.

Towards a chain coordination model for quality management strategies to strengthen the competitiveness of European pork producers

2011 ◽  
Vol 11 (2) ◽  
pp. 137-153 ◽  
Author(s):  
Detert Brinkmann ◽  
Juliane Lang ◽  
Brigitte Petersen ◽  
Nel Wognum ◽  
Jacques Trienekens
Keyword(s):  
Quality Management ◽  
Supply Chains ◽  
Management Strategies ◽  
Coordination Mechanisms ◽  
Joint Decision ◽  
Pork Production ◽  
Roles And Responsibilities ◽  
Coordination Model ◽  
A Chain ◽  
And Control

This paper presents a new chain coordination model for quality management strategies of European pork supply chains. It is a result of qualitative research into intensive and extensive pork production in seven selected countries consisting of a literature review, country-specific expert interviews and case studies. The model defines strategic roles and responsibilities for quality management actors on normative, strategic and operational levels and groups these actors into the categories certification, coordination and control. New actors have been defined for the category 'coordination of quality management strategies': the chain quality board (normative), the network coordinator (strategic) and the quality broker (operational level). The proposed concept of a quality broker represents an innovative approach to facilitate implementation of coordination mechanisms in pork supply chains. In addition, coordination mechanisms have been defined and classified under the headings contracts, information technology, information sharing and joint decision making. The model represents an organizational concept applicable to a broad diversity of pork supply chains. It is intended to facilitate the establishment and management of quality management strategies to strengthen the competitiveness of European pork producers.

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