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The study sought to explore and describe the various policies regarding access to Maternity health care services in the North West Province, South Africa, through the lens of midwives. Legal and ethical frameworks guide maternity healthcare services to ensure such a service's quality, safety, and standardization. A qualitative, descriptive, explorative research design was followed. Nine purposefully sampled midwives participated in a one-on-one in-depth interview. Data were analyzed using Collaizi's descriptive method based on the emerging themes and categories. One overarching theme with six categories emerged from the data. From the overarching perspective, it was evident that midwives were dissatisfied with the ambiguity of various policies guiding patients' access to Maternity healthcare services. To a certain extent, the admission policy was inconsistent with the patient's rights and constitution of the land on access to health. The ambiguity of admission position led to uncontrolled movements of self-referred patients to clinical facilities. The ambiguity of the transfer policy contributed to challenges during interfacility transfers of referred patients from lower levels of care facilities and vice versa. In addition, the policy on escorts of patients was unspecific about the healthcare personnel required to escort complicated patients in transit, which caused care interruptions. The study findings highlight the Midwives' concerns regarding various policies of access to maternity health services, and the marked ineffectiveness of controlling patients' movement into facilities could be the reason for overcrowding, inadvertently causing a decline in the quality of maternity healthcare services. The study findings may alert policymakers to be cautious and ensure that policies are succinct and consistent with other related laws.
The study sought to explore and describe the various policies regarding access to Maternity health care services in the North West Province, South Africa, through the lens of midwives. Legal and ethical frameworks guide maternity healthcare services to ensure such a service's quality, safety, and standardization. A qualitative, descriptive, explorative research design was followed. Nine purposefully sampled midwives participated in a one-on-one in-depth interview. Data were analyzed using Collaizi's descriptive method based on the emerging themes and categories. One overarching theme with six categories emerged from the data. From the overarching perspective, it was evident that midwives were dissatisfied with the ambiguity of various policies guiding patients' access to Maternity healthcare services. To a certain extent, the admission policy was inconsistent with the patient's rights and constitution of the land on access to health. The ambiguity of admission position led to uncontrolled movements of self-referred patients to clinical facilities. The ambiguity of the transfer policy contributed to challenges during interfacility transfers of referred patients from lower levels of care facilities and vice versa. In addition, the policy on escorts of patients was unspecific about the healthcare personnel required to escort complicated patients in transit, which caused care interruptions. The study findings highlight the Midwives' concerns regarding various policies of access to maternity health services, and the marked ineffectiveness of controlling patients' movement into facilities could be the reason for overcrowding, inadvertently causing a decline in the quality of maternity healthcare services. The study findings may alert policymakers to be cautious and ensure that policies are succinct and consistent with other related laws.
Taiwan is currently an aging society and will be a super-aging society in the near future. The purpose of this research is to use two models of data envelopment analysis (DEA)—the slacks-based measurement (SBM) model and the dynamic slacks-based measurement (DSBM) model—to analyze the efficiency of long-term care (LTC) in Taiwan. This analysis aims to explore the current situation of LTC in Taiwan and provide policy recommendations for LTC. The computation empirical result on the LTC efficiency score presents that the DSBM model exhibits higher efficiency than the SBM model after considering the carry-over variable in the former model. The result from the SBM model indicates that Taiwan’s outlying islands display the worst LTC efficiency, but this result does not appear in the DSBM model. Lastly, these two models both indicate that the number of elderly people being serviced in institutions exhibits higher efficiency and lower slack than those serviced in homes in 2017 and 2018. This paper concludes that the DEA approach is a viable method for examining the performance of the LTC services system as Taiwan approaches a super-aged society.
Artificial intelligence is rapidly advancing to replace human-based approaches in Clinical Decision Support Systems (CDSS), which has caused a revolution in the home-based care sector. CDSS provides instant diagnostic and therapeutic suggestions, hence improving the communication and gap between the medical professionals and patients in hard-to-reach areas. This review paper looks into how healthcare supply chains can be optimised through AI, in addition to monitoring the availability of inventory and medical products and predicting what a patient might need. Moreover, the investigation assesses the effectiveness of such systems in the overall consideration of the issue—cost containment and patients' outcomes, especially in chronic illness treatment. The study fits directly to SDGs 3, 9, and 10 since it aims to eliminate health disparities by proactively endorsing home-based healthcare services. This paper gives recommendations to healthcare organisations and government entities, mainly in prospecting how AI would reshape home-based care.
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