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Article
Publication date: 28 November 2023

Cristalan Ness

Recent library and information science literature suggests transgender and nonbinary populations are not treated, served and represented on an equal or equitable basis as…

Abstract

Purpose

Recent library and information science literature suggests transgender and nonbinary populations are not treated, served and represented on an equal or equitable basis as cisgender populations are in libraries. This article aims to assess the prevalence of bias and inclusion efforts in Illinois libraries.

Design/methodology/approach

This quantitative, cross-sectional, descriptive study utilizes a critical queer theory lens and includes a Likert scale survey with a demographic question on gender identity to measure four constructs and determine if there is a relationship between gender identity and bias, inclusion efforts, and knowledge of transgender and nonbinary user needs.

Findings

Results suggest respondents' biases reinforce structural cisgenderism in Illinois libraries and may account for the unequal conditions trans and nonbinary populations experience. Additionally, there is a correlation between cisgender-identifying Illinois LIS professionals and biased attitudes and behaviors, use of inclusive practices, and knowledge of transgender and nonbinary user needs.

Originality/value

This study contributes quantitative data, analysis and practical implications to a body of predominantly qualitative library literature on transgender and gender diverse experiences in libraries.

Details

Reference Services Review, vol. 52 no. 1
Type: Research Article
ISSN: 0090-7324

Keywords

Article
Publication date: 23 May 2023

Sitakanta Panda

The author studies the determinants of public trust in government doctors and hospitals (DH) – a crucial indicator of the quality of a country's healthcare system – in India by…

Abstract

Purpose

The author studies the determinants of public trust in government doctors and hospitals (DH) – a crucial indicator of the quality of a country's healthcare system – in India by analyzing the India Human Development Survey (IHDS) 2011–2012.

Design/methodology/approach

The author uses descriptive statistics and a set of ordered probit regression models controlling for a set of individual-specific, household-level and other covariates and analyze across heterogeneous contexts (national/rural/urban/male heads/female heads/social groups).

Findings

Across contexts, people reporting a great deal of trust in private DH (PDH) are significantly more likely to report a great deal of trust in government DH. Those people with a great deal of trust in government schools to provide good education (vis-à-vis people with only some trust in government school) have significantly higher likelihood of reporting a great deal of trust in government DH. Visiting a private doctor last time (vis-à-vis a government doctor) makes reporting higher trust levels in government DH less likely.

Practical implications

India's healthcare system is afflicted with several resource allocation problems and low public trust issues are indicative of misgovernance. In presence of limited state capacity, ubiquitous corruption and underwhelming institutional trust, understanding the factors influencing public trust in healthcare providers is critical to designing appropriate trust-enhancing public health policies.

Originality/value

Given the sparse empirical literature on public trust in healthcare systems in the developing countries such as India, this study is a pertinent contribution as the study explains the determinants of public trust in DH using a comprehensive unit-recorded household survey dataset.

Details

International Journal of Social Economics, vol. 50 no. 11
Type: Research Article
ISSN: 0306-8293

Keywords

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