Surviving or Thriving: Quality Assurance Mechanisms to Promote Innovation in the Development of Evidence-Based Parenting Interventions

2014 ◽  
Vol 16 (3) ◽  
pp. 421-431 ◽  
Author(s):  
Matthew R. Sanders ◽  
James N. Kirby
Author(s):  
Kerri E. McPherson ◽  
Birgit Schroeter

This chapter makes the case for the adoption of practitioner supervision as a quality assurance mechanism for the implementation of parenting interventions. This chapter addresses the need for effective and efficient supervision and posttraining support for the evidence-based program workforce to ensure the sustainability of delivery and the ongoing maintenance of program fidelity. Alongside other fidelity mechanisms, supervision can help develop practitioners’ confidence and competence in delivery and promote adherence to intervention protocols. Peer supervision has the potential to be both efficient and effective and may be more acceptable to stakeholders than traditional hierarchical supervision models. The Peer-Assisted Supervision and Support model is described, and findings describing its acceptability and feasibility to parenting program practitioners are presented.


2011 ◽  
Vol 135 (7) ◽  
pp. 874-881
Author(s):  
Nikita Makretsov ◽  
C. Blake Gilks ◽  
Reza Alaghehbandan ◽  
John Garratt ◽  
Louise Quenneville ◽  
...  

Abstract Context.—External quality assurance and proficiency testing programs for breast cancer predictive biomarkers are based largely on traditional ad hoc design; at present there is no universal consensus on definition of a standard reference value for samples used in external quality assurance programs. Objective.—To explore reference values for estrogen receptor and progesterone receptor immunohistochemistry in order to develop an evidence-based analytic platform for external quality assurance. Design.—There were 31 participating laboratories, 4 of which were previously designated as “expert” laboratories. Each participant tested a tissue microarray slide with 44 breast carcinomas for estrogen receptor and progesterone receptor and submitted it to the Canadian Immunohistochemistry Quality Control Program for analysis. Nuclear staining in 1% or more of the tumor cells was a positive score. Five methods for determining reference values were compared. Results.—All reference values showed 100% agreement for estrogen receptor and progesterone receptor scores, when indeterminate results were excluded. Individual laboratory performance (agreement rates, test sensitivity, test specificity, positive predictive value, negative predictive value, and κ value) was very similar for all reference values. Identification of suboptimal performance by all methods was identical for 30 of 31 laboratories. Estrogen receptor assessment of 1 laboratory was discordant: agreement was less than 90% for 3 of 5 reference values and greater than 90% with the use of 2 other reference values. Conclusions.—Various reference values provide equivalent laboratory rating. In addition to descriptive feedback, our approach allows calculation of technical test sensitivity and specificity, positive and negative predictive values, agreement rates, and κ values to guide corrective actions.


Author(s):  
Ngepathimo Kadhila ◽  
Gilbert Likando

Strategic management in higher education (HE) has become data-reliant. Most higher education institutions (HEIs) all over the world have implemented quality assurance (QA) and institutional research (IR) with the purpose of generating data that that would assist in evidence-based decision making for better strategic management. However, data generated through QA and IR processes have to be integrated and streamlined in order to successfully inform strategic management. One of the challenges facing higher education institutions is to integrate the data generated by QA and IR processes effectively. This chapter examines examples of good practice for integrating the data generated by these processes for use as tools to inform strategic management, using the University of Namibia as a reference point. The chapter offers suggestions on how higher education institutions may be assisted to overcome challenges when integrating the outcomes of QA and IR processes in order to close the quality loop through effective strategic management.


Author(s):  
Anas Tawileh ◽  
Omer F. Rana ◽  
Wendy Ivins ◽  
Stephen McIntosh

This chapter investigates the quality issues of the free and open source software (F/OSS) development processes. It argues that software developed within the F/OSS paradigm has witnessed substantial growth rates within the software developers’ community. However, end users from outside the community are still sceptical about adopting F/OSS because of the perceived lack of quality assurance mechanisms within the F/OSS development process. The authors aim to promote higher adoption of F/OSS artefacts outside the developers’ community by exploring possibilities to provide appropriate evidence based assurances that F/OSS artefacts will meet the quality levels expected by users.


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