scholarly journals Support local: Public libraries and local authors

2021 ◽  
Vol 2 (1) ◽  
pp. 52-58
Author(s):  
Rynnelle Wiebe
Keyword(s):  
British Columbia ◽  
Content Analysis ◽  
Public Libraries ◽  
Qualitative Content Analysis ◽  
Community Support ◽  
Community Members ◽  
Systemic Analysis ◽  
Library Community ◽  
Library Collections

In 2020 we have experienced movements to support local creators, restaurants, and businesses; how can the library community support local authors? This extended abstract discusses research conducted about how public libraries support local authors, with a focus on how these works are included in library collections and made findable to community members. Twelve public libraries from British Columbia, Alberta, and Saskatchewan were selected for analysis of collection policies and item metadata. Qualitative content analysis is used to code collection policies, and systemic analysis of item metadata is used to understand methods of identifying locally-authored items. The results of this research indicate that collection policies provide both opportunities and barriers for including locally-authored items and there is a lack of consistent methods for identifying items as locally-authored within item metadata. Some of these barriers can be attributed to the challenge of identifying and defining “local authorship”. This extended abstract will conclude with recommendations for how libraries can modify collection policies and methods of identifying items as locally-authored in order to support local authors and make these items more accessible to the community.

Reddit and Brain Cancer: A Content Analysis of Online Communication on the Brain Tumor Subreddit (Preprint)

2021 ◽  
Author(s):  
Sanidhya D. Tripathi ◽  
Pearman D. Parker ◽  
Arpan V. Prabhu ◽  
Kevin O. Thomas ◽  
Analiz Rodriguez
Keyword(s):  
Content Analysis ◽  
Brain Tumor ◽  
Brain Tumors ◽  
Emotional Processing ◽  
Qualitative Content Analysis ◽  
Online Communication ◽  
Virtual Community ◽  
Community Members ◽  
Qualitative Descriptive ◽  
Met Needs

BACKGROUND Many brain tumor patients commonly utilize online resources such as Reddit as avenues for self-management and support outside of the clinical setting. OBJECTIVE We aimed to examine trends from Reddit discussion treads on brain tumors to identify areas of need in patient care. METHODS We used a qualitative, descriptive design to understand patient and caregivers unmet and met needs. We analyzed the top 100 posts from the ‘braincancer’ subreddit to identify common themes. RESULTS The qualitative content analysis revealed three major topic areas: (1) harnessing hope; (2) moving through the grief process; and (3) expressing gratitude toward other Reddit users. Most of the authors of the posts were patients with brain tumors (n = 32; 36.4%) who used Reddit as a reflective journaling tool to process associated emotions of a challenging diagnosis. CONCLUSIONS This study shows the potential of Reddit to serve as unique group therapy platform for patients affected by brain tumors. Additionally, the results highlight the importance of recommending Reddit as a therapeutic virtual community. Our results highlight the support provided by the Reddit community members as a unique mechanism to assist cancer survivors and caregivers with the emotional processing of living with brain tumors.

scholarly journals Prevention and Management of Compassion Fatigue (CF) in Clinical Nurses: a Qualitative Content Analysis

2020 ◽  
Author(s):  
azade safa ◽  
Farzaneh Sabery ◽  
Mahdieh Sabery
Keyword(s):  
Social Support ◽  
Content Analysis ◽  
Compassion Fatigue ◽  
Organizational Support ◽  
Qualitative Content Analysis ◽  
Management Strategies ◽  
Self Care ◽  
Community Support ◽  
Structured Interviews ◽  
Support Strategies

Abstract BackgroundPrevention and management of compassion fatigue (CF) is one of the most serious issues facing the nursing profession today because CF is a complex phenomenon with many negative and destructive consequences. Given that cultural, religious, and socioeconomic differences can affect nurses’ perception about preventive strategies of CF; this study was conducted to obtain greater understanding about prevention and management strategies of CF among Iranian nurses. MethodsInductive content analysis study was conducted by the method proposed by Elo and Kyngäs. It includes three steps of open coding, creating classes and abstracting it. Purposive sampling was used to select the nurses in Tehran and Kashan (two cities in the center of Iran). Data was gathered by semi-structured interviews from June to October 2020. ResultsThe following two main themes, 5 categories and 13 subcategories were extracted. The labels of themes included "self-care strategies" and "social support strategies ". Self-care strategies consisted of 2 main categories of problem-based strategies and escape/ avoidance strategies. Social support strategies included 3 main categories of family support, organizational support and community support. ConclusionThe results showed that Iranian nurses use self-care strategies and social support strategies to prevent and manage CF; nevertheless, it seemed social support strategies outweighed self-care strategies. As a result, in addition to the importance of family and organizational support, the governmental support is also noticeable, thus, appropriate policy- making and culture-building activities to promote nursing dignity are necessary.

scholarly journals Experiences of Health Providers and patients in COVID‑19: A SWOT analysis

2021 ◽  
Author(s):  
Aliasghar kheirkhah ◽  
Ehsan Movahed ◽  
Fereshte gheyabi ◽  
Fatemeh kave Farsani ◽  
Fatemeh Rigabadi
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Health System ◽  
Swot Analysis ◽  
Qualitative Content Analysis ◽  
Main Theme ◽  
Health Providers ◽  
Structured Interviews ◽  
Community Members ◽  
The Family

Abstract Background: Health providers and patients face many problems in preventing and controlling COVID-19 in the family and the health system.Aim: The aim of the present study was to explore experiences of health providers and patients in COVID‑19.Methods: directional qualitative content analysis was applied and 15 participants, including 10 patients with COVID-19 and 5 health providers. Data were collected using semi-structured interviews and analyzed by Lundman and Graneheim qualitative content analysis methods. The MAXQDA10 software was used to manage qualitative data analysis.Results: During the data analysis, "strengths", "weaknesses", "opportunities", and "threats" were defined in terms of categories. The " Benefits and Barriers " was determined as the main theme.Conclusion: Community members and policymakers should support and reinforce the positive experiences of patients and health providers and the health system and families need to be more prepared for the crisis.

scholarly journals Literasi Informasi Melawan Hoaks Bidang Kesehatan di Komunitas Online

2019 ◽  
Vol 16 (1) ◽  
pp. 77
Author(s):  
Christiany Juditha
Keyword(s):  
Content Analysis ◽  
Information Literacy ◽  
Research Method ◽  
Qualitative Content Analysis ◽  
Health Sector ◽  
Information Gathering ◽  
Online Media ◽  
Community Members ◽  
Other Information ◽  
Asking Questions

This study aims to describe the development of information literacy in online communities to fight hoaxes in the health sector. The research method used is qualitative content analysis. The results show the seven pillars of information literacy, which are identification, coverage, planning, information gathering, evaluation, management and presentation of information are built into the Indonesian Hoaxes group. Anyone can participate by asking questions, discussing, and clarifying hoaxes in online media. Administrator and community members have the same role to give each other information literacy so that they get the same understanding of the truth information.

A Qualitative Content Analysis of Gender Transitions in the Workplace

2012 ◽  
Author(s):  
Melanie E. Brewster ◽  
Esther N. Tebbe ◽  
Brandon L. Velez
Keyword(s):  
Content Analysis ◽  
Qualitative Content Analysis
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