Clients’ satisfaction with pain managementby healthcare providers during sickle cell crisisin selected health facilities in Ogun State Nigeria –a cross sectional study
Bibliographic record
Abstract
Introduction: Vaso-occlusive crises leading to pain are the hallmark of sickle cell disease (SCD).The aim of the study is to assess satisfaction of client with pain management strategies adopted by healthcare providers in the management of sickle cell crises.Material and methods: This quantitative cross-sectional study was conducted by employing a multi-stage sampling technique in selecting the 2 SCD clinics across tertiary hospitals.In all, 114 clients who met the inclusion criteria participated in the study.Results: The majority of the participants were of ages 18 years to 20 years, mostly students with SS genotype.A high proportion of participants (52.0%) experienced a mild level of pain, while 2% reported severe pain within 6 months prior the study.The majority (67.5%) of the participants were placed on pharmacological strategies.Many of the participants (95.0%) were very satisfied with pain management strategy given to them.There is no statistically significant difference between the level of pain experienced by the participant and the administered pain management (F(2,111) = 0.591, p = 0.92).Also, there is no statistically significant difference between the client's pain-comfort and healthcare provider's methods of pain management during SCD crisis (F(2,111) = 0.485, p = 0.422).It is expedient to set up a more detailed pain assessment tool for the evaluation of the level of pain of SCD patients. Conclusions:The study concluded that pharmacological and non-pharmacological approaches can be further adopted by healthcare providers to aid in the delivery of more efficient pain management to SCD clients so as to boost the level of satisfaction of SCD patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".