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Record W7045470439

Assessing the palliative care needs of elderly patients seen at the University College Hospital, Ibadan, Nigeria

2020· dissertation· en· W7045470439 on OpenAlexaboutno aff

Bibliographic record

VenueOpen University of Cape Town (University of Cape Town) · 2020
Typedissertation
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative carePsychosocialReferralPopulationNeeds assessmentScale (ratio)InterviewHealth careDescriptive statistics
DOInot available

Abstract

fetched live from OpenAlex

Background Nigeria, with a population growth rate (2000-2005) of 2.5% and with 5% of the total population aged 60 years and above, has the potential for a rapid growth rate of the older population in coming years.1 The implication of this in a country with large population as reported by the National Population Census 2006, limited number of health care professionals and care homes, is difficulty in meeting the various needs of the elderly, hence, the importance of identifying the palliative care needs of the elderly. Aim The study was set out to assess the palliative care needs of and provision of care to elderly patients seen in the selected clinics of the University College Hospital, Ibadan, Oyo state, Nigeria. Objectives 1. To describe characteristics of elderly patients seen in the selected clinics. 2. To explore the current use of the hospital palliative care team in the care of geriatric patient. 3. To explore the current use of the hospital palliative care team in the care of geriatric patient. Methods A descriptive cross-sectional study was conducted over a 3-month period using an interviewer administered questionnaire after full consent was given by participants. The questionnaire was a combination of the Africa Palliative Care Outcome Scale (APCA-POS), the Edmonton Symptom Assessment Scale (ESAS) and Hope Spiritual Assessment Tool. Demographic information regarding gender, age, nationality, abode and referral to the Care Centre was obtained. Scaled questions from selected tools were ticked with respect to physical, psychosocial and spiritual needs and expectations of palliative care. The validated data collection tools (APCA-POS, ESAS, HOPE) were used in the questionnaire. Ethical approval was obtained from the relevant organizations. Data was analysed using IBM SPSS statistics 21. Results 424 participants completed the questionnaire and most patients (330; 77.8%) were recruited from the geriatric wards with a 2:1 female to male ratio. Most participants fell in the 60 -69 year-old age group. The most common symptom was pain in 240 patients with moderate pain in single or multiple areas. A high percentage (45.8%) were moderately worried about their disease condition and only 66 out of 422 freely discussed this feeling with their family members. Other symptoms observed were nausea, vomiting, constipation and loss of appetite. Conclusion The study showed the palliative care needs of the elderly and calls for collaboration between the palliative care team and the physicians in the geriatric unit for better management of the needs of the elderly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.314
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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