Prof. Jennifer Chipps (School of Nursing)
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| Position: | Associate Professor |
| Department: | School of Nursing |
| Faculty: | Faculty of Community and Health Sciences |
| Qualifications: | BSc Nursing Hon (WITS, South Africa) |
| BSc Psychology Hon (UNISA, South Africa) | |
| Grad Dip Nursing Administration (WITS, South Africa) | |
| Grad Dip Nursing Education (WITS, South Africa) | |
| Masters in Public Health (UNSW, Australia) | |
| Grad Dip Applied Epidemiology (VETAB, Australia) | |
| PhD (Telemedicine) (UKZN, South Africa) | |
| My publications in this repository | |
| Tel: | +27 21 959 3923 |
| Fax: | +27 21 959 2679 |
| Email: | jchipps@uwc.ac.za |
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Browsing by Subject "Elderly"
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Item Depression in older adults: prevalence and risk factors in a primary health care sample(MedPharm Publications, NISC (Pty) Ltd and Informa UK Limited, 2017) Padayachey, U.; Ramlall, Suvira; Chipps, JenniferBACKGROUND: Depression in the geriatric population has been identified as a significant problem in view of the associated negative outcomes regarding poor functioning, increased perception of poor health and increased utilisation of medical services. Significantly associated with increased morbidity and mortality, depression has been found to be an independent cause of disability as well as adding to disability due to primary physical illnesses. Early identification and treatment of depression reduces medical costs and lessens caregiver burden. Epidemiological data and prevalence rates of geriatric depression in Africa are limited, although such data are vital to mobilise and plan government mental health initiatives aimed at screening and early intervention. OBJECTIVE: To determine the prevalence of depression and associated clinical and socio-demographic factors amongst older adult patients attending a primary health care clinic in the Ethekwini District in Kwa-Zulu Natal, South Africa. METHODS: The 15-item Geriatric Depression Scale and a socio-demographic questionnaire were administered in English to 255 geriatric outpatients, randomly selected, at a local community clinic in Durban. DATA ANALYSIS: Data were analysed using SPSS version 23®. Descriptive statistics were used to summarise the sample demographics and response rate and non-parametric statistics were used to test for associations and differences. RESULTS: A Cronbach’s alpha for the GDS was calculated (p = 0.793). Some 40% of participants screened positive for depression. Female gender, widowhood and a negative subjective health status rating were significantly associated with depression and marriage appeared to be protective (p < 0.001). Participants with a poor subjective health rating were 21 times more likely to be depressed and widowhood conferred an almost fourfold increased risk of being depressed, with widows at greater risk than widowers. No association between depression and specific medical conditions was identified. CONCLUSION: There is a high rate of undetected depression among the elderly attending a local primary health care clinic with widowhood and poor subjective health being strong predictors of mood disorders. The findings warrant replication in bigger samples.Item Sensitivity and specificity of neuropsychological tests for dementia and mild cognitive impairment in a sample of residential elderly in South Africa(Health & Medical Publishing Group, 2014) Chipps, Jennifer; Ramlall, Suvira; Pillay, Basil; Bhigjee, AhmedBACKGROUND. Neuropsychological tests can successfully distinguish between healthy elderly persons and those with clinically significant cognitive impairment. Objectives. A battery of neuropsychological tests was evaluated for their discrimination validity of cognitive impairment in a group of elderly persons in Durban, South Africa. METHOD. A sample of 117 English-speaking participants of different race groups (9 with dementia, 30 with mild cognitive impairment (MCI) and 78 controls) from a group of residential homes for the elderly was administered a battery of 11 neuropsychological tests. Kruskal-Wallis independent sample tests were used to compare performance of tests in the groups. Sensitivity and specificity of the tests for dementia and MCI were determined using random operating curve (ROC) analysis. RESULTS. Most tests were able to discriminate between participants with dementia or MCI, and controls (p<0.05). Area under the curve (AUC) values for dementia v. non-dementia participants ranged from 0.519 for the digit span (forward) to 0.828 for the digit symbol (90 s), with 14 of the 29 test scores achieving significance (p<0.05). AUC values for MCI participants ranged from 0.754 for controlled oral word association test (COWAT) (Animal) to 0.507 for the Rey complex figure test copy, with 17 of the 29 scores achieving significance (p<0.05). CONCLUSION. Several measures from the neuropsychological battery had discrimination validity for the differential diagnosis of cognitive disturbances in the elderly. Further studies are needed to assess the effect of culture and language on the appropriateness of the tests for different populations.Item Technology-assisted communication in older persons in a residential care facility in South Africa(SAGE Publications, 2017) Chipps, Jennifer; Jarvis, Mary AnnRelocation to residential care facilities by older persons (60þ) can decrease their social connectedness with their primary networks. The purpose of the study was to identify the use and acceptance of technology-assisted communication to increase social connectedness in older persons (N = 103) in an urban residential care facility in South Africa. The research design was a non-experimental quantitative descriptive survey using self-administered questionnaires based on the Technology Acceptance Model. All residents were included in the study. Perceived Ease of Use, Perceived Usefulness and Attitude scales were calculated and the Behavioural Intention for technology use was measured. Participants with the highest Behavioural Intention were residents in their first year of relocation, younger participants (60–74 years), divorced participants and participants with higher educational qualifications. Perceived Ease of Use and Perceived Usefulness were low and were directly correlated. Perceived Ease of Use contributed significantly towards Attitudes concerning technology use. The overall Behavioural Intention for technology use was good (60/75) and the Technology Acceptance Model pathway was confirmed using Structural Equation Modelling. Video chat offered greatest appeal for future use.