• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • Tagged with
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The Socioeconomic Stratification System in Colombia: How a Governmental Subsidy Distribution System Has Altered the Identity of its People

January 2017 (has links)
acase@tulane.edu / The Socioeconomic Stratification System (SES) in Colombia is an official classification mechanism used by the government to determine eligibility for subsidies on a sliding scale based on conditions of the dwelling and access to infrastructure. This system classifies housing in up to six categories depending on the household’s features, surrounding area, and urban context. In this thesis, I analyze the social and epistemological implications of the SES in Colombia by looking at how the SES facilitates society to reimagine class identity affecting self-worth and social mobility. The two-main arguments are: 1) the SES categorization system has been transformed from a housing label to the identity of the individual, and 2) social dynamics in Colombia have been altered by the SES. Finally, this thesis should demonstrate the importance for research that not only focuses on the effectiveness of social programs, but also, on their social impact. / 1 / Ana María López
2

Qualitative study exploring the design of a patient-reported symptom-based risk stratification system for suspected head and neck cancer referrals: protocol for work packages 1 and 2 within the EVEREST-HN programme

Albutt, A., Hardman, J., McVey, Lynn, Odo, Chinasa, Paleri, V., Patterson, J., Webb, S., Rousseau, N., Kellar, I., Randell, Rebecca 05 April 2024 (has links)
Yes / Introduction: Between 2009/2010 and 2019/2020, England witnessed an increase in suspected head and neck cancer (sHNC) referrals from 140 to 404 patients per 100 000 population. 1 in 10 patients are not seen within the 2-week target, contributing to patient anxiety. We will develop a pathway for sHNC referrals, based on the Head and Neck Cancer Risk Calculator. The evolution of a patient-reported symptom-based risk stratification system to redesign the sHNC referral pathway (EVEREST-HN) Programme comprises six work packages (WPs). This protocol describes WP1 and WP2. WP1 will obtain an understanding of language to optimise the SYmptom iNput Clinical (SYNC) system patient-reported symptom questionnaire for sHNC referrals and outline requirements for the SYNC system. WP2 will codesign key elements of the SYNC system, including the SYNC Questionnaire, and accompanying behaviour change materials. Methods and analysis: WP1 will be conducted at three acute National Health Service (NHS) trusts with variation in service delivery models and ensuring a broad mixture of social, economic and cultural backgrounds of participants. Up to 150 patients with sHNC (n=50 per site) and 15 clinicians (n=5 per site) will be recruited. WP1 will use qualitative methods including interviews, observation and recordings of consultations. Rapid qualitative analysis and inductive thematic analysis will be used to analyse the data. WP2 will recruit lay patient representatives to participate in online focus groups (n=8 per focus group), think-aloud technique and experience-based codesign and will be analysed using qualitative and quantitative approaches. Ethics and dissemination: The committee for clinical research at The Royal Marsden, a research ethics committee and the Health Research Authority approved this protocol. All participants will give informed consent. Ethical issues of working with patients on an urgent cancer diagnostic pathway have been considered. Findings will be disseminated via journal publications, conference presentations and public engagement activities. / This work was supported by NIHR Programme Grants for Applied Research (grant number: NIHR202862).

Page generated in 0.6029 seconds