Giving a Voice to Home Care Workers: An Empowering Data Collection Method and Source of Caregiving Support During the COVID-19 Pandemic

2021 ◽  
Keyword(s):  
Data Collection ◽  
Home Care ◽  
Collection Method ◽  
Data Collection Method ◽  
Care Workers ◽  
Home Care Workers

Journaling among home care workers during the COVID-19 pandemic: A promising method for qualitative data collection

2021 ◽  
pp. 147332502110648
Author(s):  
Julia I Bandini ◽  
Julia Rollison ◽  
Jason Etchegaray
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Home Care ◽  
Lived Experiences ◽  
Health Agency ◽  
The United States ◽  
Lessons Learned ◽  
Future Research ◽  
Care Workers ◽  
Home Care Workers

Qualitative methods that capture individual lived experiences throughout rapidly changing circumstances are particularly important during public health emergencies. The COVID-19 pandemic has put home care workers at risk as they provide vital services in homes to individuals with chronic conditions or disabilities. Using a 6-week journaling process in which we enrolled participants at different points, we sought to examine experiences of home care workers ( n = 47) in the United States in New York and Michigan during April–July 2020 of the COVID-19 pandemic. Our methods for data collection and analysis were guided by a general qualitative approach as we aimed to examine the weekly perspectives and lived experiences of home care workers. We asked individuals to respond to our journaling prompts weekly to capture their reflections in “real time.” To better understand home care workers’ perspectives on journaling and the broader external context in which they provided care, we triangulated our data with interviews with home care workers ( n = 19) and home health agency representatives ( n = 9). We explored the feasibility of a rolling journaling process during an unprecedented public health emergency, characterized by rapid changes and uncertainty in day-to-day life, and reflect on lessons learned to guide future research on journaling for data collection, particularly for marginalized workers during public health crises, when events are evolving rapidly.

Strategi Pemasaran Untuk Meningkatkan Jumlah Kunjungan Pada Obyek Wisata Kebun Raya Dan Kebun Binatang (KRKB) Gembira Loka Di Kota Yogyakarta

2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Marketing Strategy ◽  
Swot Analysis ◽  
Internal Variable ◽  
External Variable ◽  
Collection Method ◽  
Data Collection Method ◽  
A Company

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.

SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Endang Maruti
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Old Age ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Novel ◽  
Note Taking ◽  
Literature Study ◽  
Collection Method ◽  
Data Collection Method

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.  

sistem informasi manajemen

2019 ◽  
Author(s):  
Novi Rozalita AR
Keyword(s):  
Data Collection ◽  
Report Cards ◽  
Collection Method ◽  
Data Collection Method ◽  
Data Value ◽  
Qualitative Descriptive ◽  
Descriptive Approach

ABSTRACTInformation systems in the processing of student value using the program the computer can facilitate teachers in processing student value more quickly and effectively. So as to produce information quickly and accurately in searching the data value of students. One is the use of E-report cards in processing grades at MAN 1 Sungai Panuah. The main focus of this research is "Processing Student Value of E-Grade X Class at MAN 1 Sungai Panuah" This research was conducted at MAN 1 Sungai Panuah by using Qualitative Descriptive approach. Data collection method used is interview

scholarly journals Utilising Mood Boards as an Image Elicitation Tool in Qualitative Research

2021 ◽  
pp. 136078042199348
Author(s):  
Simon Spawforth-Jones
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Critical Appraisal ◽  
Research Projects ◽  
Research Project ◽  
Collection Method ◽  
Visual Method ◽  
Data Collection Method ◽  
Elicitation Methods ◽  
And Gender

The use of image elicitation methods has been recognised in qualitative research for some time; however, the use of mood boards to prompt participant discussion is currently an under-researched area. This article explores the use of mood boards as a data collection method in qualitative research. Used in design disciplines mood boards allow designers to interpret and communicate complex or abstract aspects of a design brief. In this study, I utilise mood boards as being part creative visual method and part image elicitation device. The use of mood boards is explained here in the context of a research project exploring masculinity and men’s reflexivity. In this article, I consider the benefits of utilising this method in researching reflexivity and gender before offering a critical appraisal of this method and inviting others to explore how mood boards might enhance research projects involving elicitation.

“Then They Trust You …”

2017 ◽  
Vol 27 (2) ◽  
pp. 225-245 ◽  
Author(s):  
Marsha Love ◽  
Felipe Tendick-Matesanz ◽  
Jane Thomason ◽  
Davine Carter ◽  
Myra Glassman ◽  
...  
Keyword(s):  
Home Care ◽  
Long Term Care ◽  
Care Needs ◽  
Term Care ◽  
Team Members ◽  
Physical Independence ◽  
Care Workers ◽  
Communications Skills ◽  
Home Care Workers

The home care workforce, already at 2.7 million caregivers, will become the nation’s fastest growing occupation by 2024 as the senior boom generation accelerates the demand for in home services to meet its long-term care needs. The physically challenging work of assisting clients with intimate, essential acts of daily living places home care workers (HCWs) at risk for musculoskeletal disorders (MSDs); yet, HCWs typically receive little formal job training and may lack appropriate assistive devices. In this qualitative pilot study, HCW focus groups described workplace MSD risk factors and identified problem-solving strategies to improve ergonomic conditions. The results revealed that HCWs rely on their behavioral insights, self-styled communications skills and caring demeanor to navigate MSD risks to themselves and increase clients’ physical independence of movement. We suggest changes in employer and government policies to acknowledge HCWs as valued team members in long-term care and to enhance their effectiveness as caregivers.

A survey on prediction of diabetes using classification algorithms

2021 ◽  
Vol 2 (104) ◽  
pp. 77-84
Author(s):  
A. Khanwalkar ◽  
R. Soni
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Learning Algorithm ◽  
Algorithm Design ◽  
Machine Learning Algorithms ◽  
Classification Algorithms ◽  
Machine Learning Algorithm ◽  
Collection Method ◽  
Data Collection Method ◽  
Diagnostic Center

Purpose: Diabetes is a chronic disease that pays for a large proportion of the nation's healthcare expenses when people with diabetes want medical care continuously. Several complications will occur if the polymer disorder is not treated and unrecognizable. The prescribed condition leads to a diagnostic center and a doctor's intention. One of the real-world subjects essential is to find the first phase of the polytechnic. In this work, basically a survey that has been analyzed in several parameters within the poly-infected disorder diagnosis. It resembles the classification algorithms of data collection that plays an important role in the data collection method. Automation of polygenic disorder analysis, as well as another machine learning algorithm. Design/methodology/approach: This paper provides extensive surveys of different analogies which have been used for the analysis of medical data, For the purpose of early detection of polygenic disorder. This paper takes into consideration methods such as J48, CART, SVMs and KNN square, this paper also conducts a formal surveying of all the studies, and provides a conclusion at the end. Findings: This surveying has been analyzed on several parameters within the poly-infected disorder diagnosis. It resembles that the classification algorithms of data collection plays an important role in the data collection method in Automation of polygenic disorder analysis, as well as another machine learning algorithm. Practical implications: This paper will help future researchers in the field of Healthcare, specifically in the domain of diabetes, to understand differences between classification algorithms. Originality/value: This paper will help in comparing machine learning algorithms by going through results and selecting the appropriate approach based on requirements.

Computer-Mediated Peer Support Needs of Home Care Workers: Emotional Labor & the Politics of Professionalism

2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-32
Author(s):  
Anthony Poon ◽  
Vaidehi Hussain ◽  
Julia Loughman ◽  
Ariel C. Avgar ◽  
Madeline Sterling ◽  
...  
Keyword(s):  
Home Care ◽  
Peer Support ◽  
Emotional Labor ◽  
Support Needs ◽  
Computer Mediated ◽  
Care Workers ◽  
Home Care Workers
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