Jennifer Chipps
Biographic Data
| ID | 7654332 |
|---|---|
| NAME | Jennifer Chipps |
| GIVEN NAMES | Jennifer |
| FAMILY NAME | Chipps |
| SIGNATURE | CHIPPS J |
| AFFILIATIONS | University of the Western Cape |
| ORCID | 0000-0002-7895-4483 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Using Machine Learning to Predict Resilience Among Nurses in a South African Setting
Nursing is a stressful profession. Stress can affect the mental health of nurses. A positive response to stress, resilience, is known to be a protective factor against mental health issues. This study aimed to use machine learning with secondary data from five survey studies, conducted between 2022 and 2023, to identify factors predicting high versus low levels of resilience in South African nursing samples from the Western Cape Province, South A…
South African nursing students' stress and resilience during the global Covid-19 health crisis
The study aimed to investigate nursing students' psychological distress and their response to stress during the COVID-19 pandemic .Participants were 370 South African nursing students (female = 75%; mean age = 21 .9years, SD = 3 .9years) .Students completed the following scales: Compassion Satisfaction and Fatigue, Kessler Psychological Distress, and Response to Stressful Experiences .Findings from the descriptive statistics and inferential stati…
Use of mobile phone among patients with HIV/Aids in a low-middle income setting
The use of mobile phone and factors influencing usage have least been explored in spite of its relevance in mHealth adoption. We conducted a descriptive exploratory study to evaluate the use of mobile phone alarm application, text messaging and voice call among HIV positive clients. We randomly selected 362 respondents who were 18–65 years and receive care from two health facilities in Accra, Ghana. Questionnaires were administered and data analy…
Targeting ethical considerations tied to image-based mobile health diagnostic support specific to clinicians in low-resource settings
Background: mHealth applications assist workflow, help move towards equitable access to care, and facilitate care delivery. They have great potential to impact care in low-resource countries, but have significant ethical concerns pertaining to patient autonomy, safety, and justice.Objective: To achieve consensus among stakeholders on how to address concerns pertaining to autonomy, safety, and justice among mHealth developers and users in low-reso…
An Evaluation of a Low-Intensity Cognitive Behavioral Therapy mHealth-Supported Intervention to Reduce Loneliness in Older People
There is a high prevalence of loneliness among older people, especially in residential care settings. Loneliness is often accompanied by maladaptive cognitions which can affect the maintenance and establishment of meaningful social connections. This study implemented and evaluated a low-intensity Cognitive Behavior Therapy (LI-CBT) mHealth-supported intervention which targeted maladaptive cognitions in older people (≥60 years) experiencing loneli…
This phone saved my life”
This qualitative study aimed to explore older persons’ experiences and appraisals of the utility of an mHealth intervention for reducing their sense of loneliness. Participants (n = 13; 86.42% females; age range 65 to 87 years) received training in the use of a smartphone and a social networking application (WhatsApp). Following the intervention, they completed a focus group discussion. For data triangulation, participants shared their social med…
No prominent works on this page.
Targeting ethical considerations tied to image-based mobile health diagnostic support specific to clinicians in low-resource settings
Background: mHealth applications assist workflow, help move towards equitable access to care, and facilitate care delivery. They have great potential to impact care in low-resource countries, but have significant ethical concerns pertaining to patient autonomy, safety, and justice.Objective: To achieve consensus among stakeholders on how to address concerns pertaining to autonomy, safety, and justice among mHealth developers and users in low-reso…
An Evaluation of a Low-Intensity Cognitive Behavioral Therapy mHealth-Supported Intervention to Reduce Loneliness in Older People
There is a high prevalence of loneliness among older people, especially in residential care settings. Loneliness is often accompanied by maladaptive cognitions which can affect the maintenance and establishment of meaningful social connections. This study implemented and evaluated a low-intensity Cognitive Behavior Therapy (LI-CBT) mHealth-supported intervention which targeted maladaptive cognitions in older people (≥60 years) experiencing loneli…
This phone saved my life”
This qualitative study aimed to explore older persons’ experiences and appraisals of the utility of an mHealth intervention for reducing their sense of loneliness. Participants (n = 13; 86.42% females; age range 65 to 87 years) received training in the use of a smartphone and a social networking application (WhatsApp). Following the intervention, they completed a focus group discussion. For data triangulation, participants shared their social med…
Use of mobile phone among patients with HIV/Aids in a low-middle income setting
The use of mobile phone and factors influencing usage have least been explored in spite of its relevance in mHealth adoption. We conducted a descriptive exploratory study to evaluate the use of mobile phone alarm application, text messaging and voice call among HIV positive clients. We randomly selected 362 respondents who were 18–65 years and receive care from two health facilities in Accra, Ghana. Questionnaires were administered and data analy…
South African nursing students' stress and resilience during the global Covid-19 health crisis
The study aimed to investigate nursing students' psychological distress and their response to stress during the COVID-19 pandemic .Participants were 370 South African nursing students (female = 75%; mean age = 21 .9years, SD = 3 .9years) .Students completed the following scales: Compassion Satisfaction and Fatigue, Kessler Psychological Distress, and Response to Stressful Experiences .Findings from the descriptive statistics and inferential stati…
Using Machine Learning to Predict Resilience Among Nurses in a South African Setting
Nursing is a stressful profession. Stress can affect the mental health of nurses. A positive response to stress, resilience, is known to be a protective factor against mental health issues. This study aimed to use machine learning with secondary data from five survey studies, conducted between 2022 and 2023, to identify factors predicting high versus low levels of resilience in South African nursing samples from the Western Cape Province, South A…
Psychology (6 works) · Medicine (4 works) · Applied Psychology (3 works) · Clinical Psychology (3 works) · Clinical Psychology (3 works) · Computer Science (3 works) · mHealth (3 works) · Psychiatry (3 works) · Psychological intervention (3 works) · Applied Psychology (2 works)