4 research outputs found
Operationalization of the Ghanaian Patients’ Charter in a Peri-urban Public Hospital: Voices of Healthcare Workers and Patients
Background
Health is a basic human right necessary for the exercise of other human rights. Every human being is, therefore, entitled to the highest possible standard of health necessary to living a life of dignity. Establishment of patients’ Charter is a step towards protecting the rights and responsibilities of patients, but violation of patients’ rights is common in healthcare institutions, especially in the developing world. This study which was conducted between May 2013 and May 2014, assessed the operationalization of Ghana’s Patients Charter in a peri-urban public hospital.
Methods
Qualitative data collection methods were used to collect data from 25 healthcare workers and patients who were purposively selected. The interview data were analyzed manually, using the principles of systematic text condensation.
Results
The findings indicate that the healthcare staff of the Polyclinic are aware of the existence of the patients’ Charter and also know some of its contents. Patients have no knowledge of the existence or the contents of the Charter. Availability of the Charter, community sensitization, monitoring and orientation of staff are factors that promote the operationalization of the Charter, while institutional implementation procedures such as lack of complaint procedures and low knowledge among patients militate against operationalization of the Charter.
Conclusion
Public health facilities should ensure that their patients are well-informed about their rights and responsibilities to facilitate effective implementation of the Charter. Also, patients’ rights and responsibilities can be dramatized and broadcasted on television and radio in major Ghanaian languages to enhance awareness of Ghanaians on the Charter
Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
Abstract
Background
Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres.
Methods
This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries.
Results
In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia.
Conclusion
This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries
Operationalization of the Ghanaian Patients’ Charter in a Peri-urban Public Hospital: Voices of Healthcare Workers and Patients
Background
Health is a basic human right necessary for the exercise of other human rights. Every human being is, therefore, entitled to the highest possible standard of health necessary to living a life of dignity. Establishment of patients’ Charter is a step towards protecting the rights and responsibilities of patients, but violation of patients’ rights is common in healthcare institutions, especially in the developing world. This study which was conducted between May 2013 and May 2014, assessed the operationalization of Ghana’s Patients Charter in a peri-urban public hospital.
Methods
Qualitative data collection methods were used to collect data from 25 healthcare workers and patients who were purposively selected. The interview data were analyzed manually, using the principles of systematic text condensation.
Results
The findings indicate that the healthcare staff of the Polyclinic are aware of the existence of the patients’ Charter and also know some of its contents. Patients have no knowledge of the existence or the contents of the Charter. Availability of the Charter, community sensitization, monitoring and orientation of staff are factors that promote the operationalization of the Charter, while institutional implementation procedures such as lack of complaint procedures and low knowledge among patients militate against operationalization of the Charter.
Conclusion
Public health facilities should ensure that their patients are well-informed about their rights and responsibilities to facilitate effective implementation of the Charter. Also, patients’ rights and responsibilities can be dramatized and broadcasted on television and radio in major Ghanaian languages to enhance awareness of Ghanaians on the Charter
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers