scholarly journals Best and worst practice: a case study of qualitative gender balance in Irish broadcasting

2017 ◽  
Vol 39 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Anne O’Brien ◽  
Jane Suiter
Keyword(s):  
Private Sector ◽  
Case Studies ◽  
Gender Bias ◽  
News Coverage ◽  
Worst Case ◽  
Public And Private ◽  
Gender Balance ◽  
Public And Private Sector ◽  
Radio News

This article focuses on the gender of voices chosen as sources and presenters of radio news coverage in Ireland. The study examines the best and worst case studies across public and private sector broadcasters and argues that the question of gender balance in broadcasting goes beyond the simple issue of quantitatively proportionate participation to require a more complex and qualitatively fair and balanced presentation of women within news programming. We find a very clear gender bias with male-dominated coverage in both public and private sectors but with greater stereotyping by the latter.

scholarly journals Identifying Risk Factors of Boot Procurement: A Case Study of Stadium Australia

2012 ◽  
Vol 4 (1) ◽  
pp. 11-20
Author(s):  
Marcus Jefferies ◽  
Swee Eng Chen
Keyword(s):  
Risk Factors ◽  
Private Sector ◽  
Significant Risk ◽  
Public Works ◽  
Infrastructure Development ◽  
Public And Private ◽  
Public And Private Sector ◽  
High Level ◽  
Bidding Process

Private sector input into the procurement of public works and services is continuing to increase. This has partly arisen out of a requirement for infrastructure development to be undertaken at a rate that maintains and allows growth. This has become a major challange for the construction industry that cannot be met by government alone. The emergence of Build-Own-Operate-Transfer (BOOT) schemes as a response to this challange provides a means for developing the infrastructure of a country without directly impacting on the governments budgetary constraints. The concepts of BOOT are without doubt extremely complex arrangements, which bring to the construction sector risks not experienced previously. Many of the infrastructure partnerships between public and private sector in the pastare yet to provide evidence of successful completion, since few of the concession periods have expired. This paper provides an identified list of risk factors to a case study of Stadium Australia. The most significant risk associated with Stadium Australia include the bidding process, the high level of public scrutiny, post-Olympic Games facility revenue and the complicated nature of the consortium structure.  

scholarly journals 980Quantifying inadvertent data-duplication- findings from validation of antenatal-registration and HIV-testing data-sets from an Indian state

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Sheela Godbole ◽  
Shweta Chidrawar ◽  
Suvarna Sane ◽  
Yashika Bansal ◽  
Asha Hegde ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Private Sector ◽  
Hiv Testing ◽  
Case Studies ◽  
Data Capture ◽  
Health Management Information System ◽  
Public Facility ◽  
Public And Private ◽  
Hiv Test ◽  
Public And Private Sector

Abstract Background India plans elimination of HIV-Mother-to-Child-Transmission in 2020. Targets include >95% coverage of Antenatal-care (ANC) and HIV-testing. In 2015-16, while 43% of the estimated Indian pregnant-women (PW) received HIV-tests, one state reported >95% testing. Indian public-health-care is a three-tiered system from primary-level sub-centres (population-5000) to tertiary-level hospitals. ANC involves multiple-visits per pregnancy at different care-levels and data are aggregated in the Health-Management-Information-System (HMIS) at all levels. We validated (public and private-sector data from this state, for duplication in ANC registration and HIV-testing using mixed methods. Methods In the absence of guidelines for assessing aggregate-data duplication, we used mixed-methods, including surveys among 9845 PW and providers from 240 facilities in 10/36 representative districts; in-depth-interviews; case-studies and analysis of HMIS and HIV-program data (April 2015-Mar 2017). Interviews and case-studies highlighted inadvertent duplicate data-capture. Surveys quantified levels of duplication and adjustment factors (public and private-sector) were developed. Results Twenty-four% PW, visited multiple facilities for ANC, while 81% providers reported all the PW coming to their facilities as new ANC registrations (irrespective of lower-tier registration); identifying a minimum duplication of 19% (24%*81%) in ANC coverage. Twenty-nine% and 28% PW from public and private-facilities reported >1 HIV-test; while 75% and 36% reported visiting another public-facility where HIV test was likely to be reported again. Minimum duplication of 22% and 10% in HIV testing was noted in public and private-sectors respectively. Conclusions We report methods to quantify repeat HIV-testing and duplicate-reporting, due to inherent processes in ANC in public-healthcare in India. Modification of data-capture was recommended and adopted across India. Key messages Assessing duplication in aggregate health data is key to developing robust datasets for disease elimination

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