The 13-MD is a new generic instrument developed to measure general health-related quality of life (GHRQoL). This instrument considers all aspects of health (i.e., physical, mental, and social) in a balanced way. A previous study led to minor changes in the original version of the 13-MD. The objective of this study was to confirm the validity of the modified 13-MD.
Methods
Validity was assessed with recent data from the general population of Quebec, Canada. The meta-dimensions and items composing the 13-MD were also subjected to a ranking procedure, which allowed to determine the most important aspects for respondents.
Results
A total of 1337 French-speaking participants were recruited with 1099 completing the 13-MD for validation purposes and 1084 completing the ranking procedure. The 13-MD showed very satisfactory results and confirmed to be a valid instrument. The ranking of the meta-dimensions revealed that “Well-being” received the most points, followed by “Sleep and energy” and “Body functioning.”
Conclusion
These results will be very useful in the continuous improvement of the 13-MD, ultimately leading to the valuation stage (i.e., development of a value set).
{"title":"Confirmatory analysis of the 13-MD and ranking of its meta-dimensions and items","authors":"Moustapha Touré, Thomas G. Poder","doi":"10.1002/hcs2.106","DOIUrl":"https://doi.org/10.1002/hcs2.106","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The 13-MD is a new generic instrument developed to measure general health-related quality of life (GHRQoL). This instrument considers all aspects of health (i.e., physical, mental, and social) in a balanced way. A previous study led to minor changes in the original version of the 13-MD. The objective of this study was to confirm the validity of the modified 13-MD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Validity was assessed with recent data from the general population of Quebec, Canada. The meta-dimensions and items composing the 13-MD were also subjected to a ranking procedure, which allowed to determine the most important aspects for respondents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 1337 French-speaking participants were recruited with 1099 completing the 13-MD for validation purposes and 1084 completing the ranking procedure. The 13-MD showed very satisfactory results and confirmed to be a valid instrument. The ranking of the meta-dimensions revealed that “Well-being” received the most points, followed by “Sleep and energy” and “Body functioning.”</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>These results will be very useful in the continuous improvement of the 13-MD, ultimately leading to the valuation stage (i.e., development of a value set).</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 4","pages":"249-263"},"PeriodicalIF":0.0,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miao Yu, Zhongmou Huang, Dan Zhang, Yansui Yang, Ching-Wen Chien, Hongwu Tuo
Some regions in China have already implemented capitation payment or capitation budget management for medical insurance funds. However, there remains a shortage of adequate tools and methodologies to accurately quantify differences in population health risks. Therefore, this paper constructs a health performance assessment model that comprises four steps. The first step is to categorize all participants into health risk groups based on whether they have contracted with a family doctor, their age, sex, and the type of consultation. The second step is to categorize health risk groups based on differences in healthcare resource utilization. The third step is to analyze health performance by examining healthcare resource utilization year over year. The fourth step is to apply the assessment results to assist local finance bureaus and medical insurance bureaus in developing incentive schemes. According to cost weights, the health risk groups are split into six classes: insured residents without health care visits, healthy insured person, slightly ill insured patients, ill insured patients, more seriously disease patients, and severely ill insured patients. We evaluate one compact medical community's health performance by examining changes in the proportion of resource usage group size and expense. From 2019 to 2021, both the proportion of patients with severe and ultra-severe diseases and the proportion of costs in the sample increased, according to changes in resource utilization levels. This result indicates that the population's overall health has not improved and that the compact medical community is still primarily focused on treating diseases, with poor implementation of health maintenance measures and minimal improvement in health performance.
{"title":"Health performance assessment modeling and its application to compact medical communities in China","authors":"Miao Yu, Zhongmou Huang, Dan Zhang, Yansui Yang, Ching-Wen Chien, Hongwu Tuo","doi":"10.1002/hcs2.105","DOIUrl":"10.1002/hcs2.105","url":null,"abstract":"<p>Some regions in China have already implemented capitation payment or capitation budget management for medical insurance funds. However, there remains a shortage of adequate tools and methodologies to accurately quantify differences in population health risks. Therefore, this paper constructs a health performance assessment model that comprises four steps. The first step is to categorize all participants into health risk groups based on whether they have contracted with a family doctor, their age, sex, and the type of consultation. The second step is to categorize health risk groups based on differences in healthcare resource utilization. The third step is to analyze health performance by examining healthcare resource utilization year over year. The fourth step is to apply the assessment results to assist local finance bureaus and medical insurance bureaus in developing incentive schemes. According to cost weights, the health risk groups are split into six classes: insured residents without health care visits, healthy insured person, slightly ill insured patients, ill insured patients, more seriously disease patients, and severely ill insured patients. We evaluate one compact medical community's health performance by examining changes in the proportion of resource usage group size and expense. From 2019 to 2021, both the proportion of patients with severe and ultra-severe diseases and the proportion of costs in the sample increased, according to changes in resource utilization levels. This result indicates that the population's overall health has not improved and that the compact medical community is still primarily focused on treating diseases, with poor implementation of health maintenance measures and minimal improvement in health performance.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 4","pages":"232-237"},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The medical device and pharmaceutical industries include a range of drugs, machines, instruments, and apparatuses used to prevent, diagnose, treat disease and illness, or aid in rehabilitation for patients, and are expected to grow substantially in the coming years. However, they are often targets of criminal organizations who manufacture and profit from fraudulent products, infiltrating the market with counterfeit medical supply chains. In this paper, we discuss and analyze the extent and nature of this problem and make suggestions for mitigation and prevention of this worldwide challenge. Ultimately, we argue that a holistic approach is essential to addressing this problem, including the creation and dissemination of reliable and good quality data, developing healthcare systems to be more robust, establishing/enhancing intra- and international cooperation around this issue, and employing effective technological solutions, such as digital tracing.
{"title":"Rethinking counterfeit medical supply chains: A critical review of the current literature","authors":"Iffath U. Syed, Travis W. Milburn","doi":"10.1002/hcs2.97","DOIUrl":"10.1002/hcs2.97","url":null,"abstract":"<p>The medical device and pharmaceutical industries include a range of drugs, machines, instruments, and apparatuses used to prevent, diagnose, treat disease and illness, or aid in rehabilitation for patients, and are expected to grow substantially in the coming years. However, they are often targets of criminal organizations who manufacture and profit from fraudulent products, infiltrating the market with counterfeit medical supply chains. In this paper, we discuss and analyze the extent and nature of this problem and make suggestions for mitigation and prevention of this worldwide challenge. Ultimately, we argue that a holistic approach is essential to addressing this problem, including the creation and dissemination of reliable and good quality data, developing healthcare systems to be more robust, establishing/enhancing intra- and international cooperation around this issue, and employing effective technological solutions, such as digital tracing.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"203-210"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141474390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Silent hypoxemia is when patients do not experience breathing difficulty in the presence of alarmingly low O2 saturation. It could cause rapid deterioration and higher mortality rates among patients, so prompt detection and identifying predictive factors could result in significantly better outcomes. This study aims to document the evidence of silent hypoxemia in patients with COVID-19 and its clinical features.
Methods
A total of 78 hospitalized, nonintubated patients with confirmed COVID-19 infection were included in this study. Their O2 saturation was measured with a pulse oximeter (PO), and arterial blood gas (ABG) was taken. Demographic and clinical features were recorded. The Borg scale was used to evaluate dyspnea status, and patients with a score of less than two accompanied by O2 saturation of less than 94% were labeled as silent hypoxic. Univariate analysis was utilized to evaluate the correlation between variables and their odds ratio (OR) and 95% confidence interval (CI).
Results
Silent hypoxemia was observed in 20 (25.6%) of the participants. The average difference between the PO and ABG methods was 4.36 ± 3.43. Based on regression analysis, dyspnea and respiratory rate demonstrated a statistically significant correlation with the O2 saturation difference between PO and ABG (OR: 2.05; p = 0.026; 95% CI: 0.248–3.847 and OR: 0.144; p = 0.048, 95% CI: 0.001–0.286). Furthermore, the Borg scale (OR: 0.29; p = 0.009; 95% CI: 0.116–0.740) had a significant reverse correlation with silent hypoxia.
Conclusions
Silent hypoxemia can be a possible complication that affects some COVID-19 patients. Further care should be bestowed upon the younger population and those with underlying neurological or mental illnesses. Furthermore, the respiratory rate, pulse oximeter, and arterial blood gas O2 levels should be considered alongside each other.
{"title":"Evaluation of the predictors and frequency of silent hypoxemia in COVID-19 patients and the gap between pulse oximeter and arterial blood gas levels: A cross-sectional study","authors":"Mohammad Javad Fallahi, Fatemehsadat Pezeshkian, Keivan Ranjbar, Rojan Javaheri, Reza Shahriarirad","doi":"10.1002/hcs2.98","DOIUrl":"10.1002/hcs2.98","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Silent hypoxemia is when patients do not experience breathing difficulty in the presence of alarmingly low O<sub>2</sub> saturation. It could cause rapid deterioration and higher mortality rates among patients, so prompt detection and identifying predictive factors could result in significantly better outcomes. This study aims to document the evidence of silent hypoxemia in patients with COVID-19 and its clinical features.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 78 hospitalized, nonintubated patients with confirmed COVID-19 infection were included in this study. Their O<sub>2</sub> saturation was measured with a pulse oximeter (PO), and arterial blood gas (ABG) was taken. Demographic and clinical features were recorded. The Borg scale was used to evaluate dyspnea status, and patients with a score of less than two accompanied by O<sub>2</sub> saturation of less than 94% were labeled as silent hypoxic. Univariate analysis was utilized to evaluate the correlation between variables and their odds ratio (OR) and 95% confidence interval (CI).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Silent hypoxemia was observed in 20 (25.6%) of the participants. The average difference between the PO and ABG methods was 4.36 ± 3.43. Based on regression analysis, dyspnea and respiratory rate demonstrated a statistically significant correlation with the O<sub>2</sub> saturation difference between PO and ABG (OR: 2.05; <i>p</i> = 0.026; 95% CI: 0.248–3.847 and OR: 0.144; <i>p</i> = 0.048, 95% CI: 0.001–0.286). Furthermore, the Borg scale (OR: 0.29; <i>p</i> = 0.009; 95% CI: 0.116–0.740) had a significant reverse correlation with silent hypoxia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Silent hypoxemia can be a possible complication that affects some COVID-19 patients. Further care should be bestowed upon the younger population and those with underlying neurological or mental illnesses. Furthermore, the respiratory rate, pulse oximeter, and arterial blood gas O<sub>2</sub> levels should be considered alongside each other.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"172-180"},"PeriodicalIF":0.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212329/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141474388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shwetha B. Nagarajan, Sanjeevi Ramakrishnan, Anuradha Jayaraman
The exploration of newer antibacterial strategies is driven by antibiotic-resistant microbes that cause serious public health issues. In recent years, nanoscale materials have developed as an alternative method to fight infections. Despite the fact that many nanomaterials have been discovered to be harmful, numerous researchers have shown a keen interest in nanoparticles (NPs) made of noble metals like silver, gold and platinum. To make environmentally safe NPs from plants, green chemistry and nanotechnology have been combined to address the issue of toxicity. The study of bimetallic nanoparticles (BNPs) has increased tremendously in the past 10 years. The production of BNPs mediated by natural extracts is straightforward, low cost and environmentally friendly. Due to their low toxicity, safety and biological stability, noble BNPs with silver, gold, platinum and palladium have the potential to be used in biomedical applications. They have a significant impact on human health and are used in medicine and pharmacy due to their biological characteristics, which include catalytic, antioxidant, antibacterial, antidiabetic, anticancer, hepatoprotective and regenerative activity.
{"title":"Theranostic aspects of palladium-based bimetallic nanoparticles in biomedical field: A state-of-the-art","authors":"Shwetha B. Nagarajan, Sanjeevi Ramakrishnan, Anuradha Jayaraman","doi":"10.1002/hcs2.96","DOIUrl":"10.1002/hcs2.96","url":null,"abstract":"<p>The exploration of newer antibacterial strategies is driven by antibiotic-resistant microbes that cause serious public health issues. In recent years, nanoscale materials have developed as an alternative method to fight infections. Despite the fact that many nanomaterials have been discovered to be harmful, numerous researchers have shown a keen interest in nanoparticles (NPs) made of noble metals like silver, gold and platinum. To make environmentally safe NPs from plants, green chemistry and nanotechnology have been combined to address the issue of toxicity. The study of bimetallic nanoparticles (BNPs) has increased tremendously in the past 10 years. The production of BNPs mediated by natural extracts is straightforward, low cost and environmentally friendly. Due to their low toxicity, safety and biological stability, noble BNPs with silver, gold, platinum and palladium have the potential to be used in biomedical applications. They have a significant impact on human health and are used in medicine and pharmacy due to their biological characteristics, which include catalytic, antioxidant, antibacterial, antidiabetic, anticancer, hepatoprotective and regenerative activity.</p>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"181-202"},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.96","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141359135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Occupational therapists can play a key role in early identification of delay at the population health level by providing education to public health employees on how to implement developmental monitoring with caregivers of children birth to age 5.
Methods
A pretest posttest design was utilized to assess the online education and training that was provided to Department of Public Health employees (N = 339), including Head Start, Special Supplemental Nutrition Program for Women, Infants and Children, Home Visiting, and Early Intervention.
Results
Analysis of pretest-posttest survey data showed significant results for all 12 key learning outcomes. Six out of 12 outcomes were found to have a large effect size (d > 0.8), 4 outcomes indicated a medium effect size (d > 0.5), and 2 outcomes had a small effect size (d > 0.2). Participants gained knowledge of the “Learn the Signs. Act Early.” (LTSAE) developmental monitoring program, the difference between developmental monitoring and screening, the state's referral system and age-appropriate parental engagement activities through knowledge of child development.
Conclusions
Occupational therapists are child development specialists who can provide education on developmental monitoring and activities for parental engagement. The online course proved to be an effective platform to promote LTSAE within state agencies.
{"title":"Occupational therapy's role in promoting the “Learn the Signs. Act Early.” developmental monitoring program to public health employees","authors":"Kate Barlow, Kelsey Sullivan, Scott Lauren","doi":"10.1002/hcs2.95","DOIUrl":"10.1002/hcs2.95","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Occupational therapists can play a key role in early identification of delay at the population health level by providing education to public health employees on how to implement developmental monitoring with caregivers of children birth to age 5.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A pretest posttest design was utilized to assess the online education and training that was provided to Department of Public Health employees (<i>N</i> = 339), including Head Start, Special Supplemental Nutrition Program for Women, Infants and Children, Home Visiting, and Early Intervention.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Analysis of pretest-posttest survey data showed significant results for all 12 key learning outcomes. Six out of 12 outcomes were found to have a large effect size (<i>d</i> > 0.8), 4 outcomes indicated a medium effect size (<i>d</i> > 0.5), and 2 outcomes had a small effect size (<i>d</i> > 0.2). Participants gained knowledge of the “Learn the Signs. Act Early.” (LTSAE) developmental monitoring program, the difference between developmental monitoring and screening, the state's referral system and age-appropriate parental engagement activities through knowledge of child development.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Occupational therapists are child development specialists who can provide education on developmental monitoring and activities for parental engagement. The online course proved to be an effective platform to promote LTSAE within state agencies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"163-171"},"PeriodicalIF":0.0,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212480/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141474389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gal Av-Gay, Anshu Parajulee, Kathrin Stoll, Jude Kornelsen
Background
The sustainability of rural surgical and obstetrical facilities depends on their efficacy and quality of care, which are difficult to measure in a rural context. In an evaluation of rural practice, it is often the case that the only comparators are larger referral facilities, for which facility-level comparisons are difficult due to differences in population demographics, acuity of patients, and services offered. This publication outlines these limitations and highlights a best-practice approach to making facility-level comparisons using population-level data, risk stratification, tests of noninferiority, and Firth logistic regression analysis. This includes an investigation of minimum sample-size requirements through Monte Carlo power analysis in the context of low-acuity rural surgical care.
Methods
Monte Carlo power analysis was used to estimate the minimum sample size required to achieve a power of 0.8 for both logistic regression and Firth logistic regression models that compare the proportion of surgical adverse events against facility type, among other confounders. We provide guidelines for the implementation of a recommended methodology that uses risk stratification, Firth penalized logistic regression, and tests of noninferiority.
Results
We illustrate limitations in facility-level comparison of surgical quality among patients undergoing one of four index procedures including hernia repair, colonoscopy, appendectomy, and cesarean delivery. We identified minimum sample sizes for comparison of each index procedure that fluctuate depending on the level of risk stratification used.
Conclusion
The availability of administrative data can provide an adequate sample size to allow for facility-level comparisons in surgical quality, at the rural level and elsewhere. When they are made appropriately, these comparisons can be used to evaluate the efficacy of general practitioners and nurse practitioners in performing low-acuity procedures.
{"title":"Evaluating rural health outcomes: A methodological approach using population-level data","authors":"Gal Av-Gay, Anshu Parajulee, Kathrin Stoll, Jude Kornelsen","doi":"10.1002/hcs2.94","DOIUrl":"10.1002/hcs2.94","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The sustainability of rural surgical and obstetrical facilities depends on their efficacy and quality of care, which are difficult to measure in a rural context. In an evaluation of rural practice, it is often the case that the only comparators are larger referral facilities, for which facility-level comparisons are difficult due to differences in population demographics, acuity of patients, and services offered. This publication outlines these limitations and highlights a best-practice approach to making facility-level comparisons using population-level data, risk stratification, tests of noninferiority, and Firth logistic regression analysis. This includes an investigation of minimum sample-size requirements through Monte Carlo power analysis in the context of low-acuity rural surgical care.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Monte Carlo power analysis was used to estimate the minimum sample size required to achieve a power of 0.8 for both logistic regression and Firth logistic regression models that compare the proportion of surgical adverse events against facility type, among other confounders. We provide guidelines for the implementation of a recommended methodology that uses risk stratification, Firth penalized logistic regression, and tests of noninferiority.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We illustrate limitations in facility-level comparison of surgical quality among patients undergoing one of four index procedures including hernia repair, colonoscopy, appendectomy, and cesarean delivery. We identified minimum sample sizes for comparison of each index procedure that fluctuate depending on the level of risk stratification used.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The availability of administrative data can provide an adequate sample size to allow for facility-level comparisons in surgical quality, at the rural level and elsewhere. When they are made appropriately, these comparisons can be used to evaluate the efficacy of general practitioners and nurse practitioners in performing low-acuity procedures.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"151-162"},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.94","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141005580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunfen Lv, Ziwei Zhao, Xinyi Wu, Yao Wang, Shanshan Qiu
Background
This study aimed to evaluate the effectiveness of using animation as education material for family empowerment program on perioperative care for caregivers whose children were to undergo neurosurgery.
Methods
A total of 204 caregivers were randomly assigned to either the face-to-face oral nursing educated group (Oral Group) or the animation-assisted nursing educated group (Animated Group). The nursing education primarily focused on instructing caregivers about the manual vibration method. The primary outcome of interest in this study was participants' knowledge level, collected by a 10-item questionnaire. Secondary outcomes included child patients' clinical data, including hospitalization days, treatments, and signs of pneumonia.
Results
Participants in the Animated Group exhibited significantly higher accuracy in perioperative care knowledge assessment, and patients in this group had a lower chance of requiring atomization therapy compared to the Oral Group.
Conclusions
The animation-assisted nursing education program effectively enhances pediatric caregivers' knowledge, reduces respiratory complications after surgery, and offers valuable insights for future studies on the use of such programs to instruct caregivers.
{"title":"Animation-guided family empowerment program on perioperative care after neurosurgery: A randomized controlled trial for preventing respiratory complications","authors":"Yunfen Lv, Ziwei Zhao, Xinyi Wu, Yao Wang, Shanshan Qiu","doi":"10.1002/hcs2.93","DOIUrl":"10.1002/hcs2.93","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This study aimed to evaluate the effectiveness of using animation as education material for family empowerment program on perioperative care for caregivers whose children were to undergo neurosurgery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 204 caregivers were randomly assigned to either the face-to-face oral nursing educated group (Oral Group) or the animation-assisted nursing educated group (Animated Group). The nursing education primarily focused on instructing caregivers about the manual vibration method. The primary outcome of interest in this study was participants' knowledge level, collected by a 10-item questionnaire. Secondary outcomes included child patients' clinical data, including hospitalization days, treatments, and signs of pneumonia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Participants in the Animated Group exhibited significantly higher accuracy in perioperative care knowledge assessment, and patients in this group had a lower chance of requiring atomization therapy compared to the Oral Group.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The animation-assisted nursing education program effectively enhances pediatric caregivers' knowledge, reduces respiratory complications after surgery, and offers valuable insights for future studies on the use of such programs to instruct caregivers.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 3","pages":"141-150"},"PeriodicalIF":0.0,"publicationDate":"2024-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141474387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aimed to assess the role of community pharmacists and their perception toward antimicrobial stewardship, in addition to identifying factors influencing their perception and practices in community pharmacy.
Methods
A cross-sectional study was carried out among community pharmacists regarding antimicrobial stewardship. Convenience sampling was used to obtain the required sample from a community pharmacy in Baghdad. In total, 381 participants have completed the survey.
Results
The majority of the participants (85.6%) strongly agreed/agreed that “antimicrobial stewardship programs reduce the problems of antibiotic resistance”; and 85.5% of them strongly agreed/agreed that community pharmacists required adequate training on antibiotics use. In addition, high percent of community pharmacists (88.4%) strongly agreed/agreed that pharmacists have a responsibility to take a prominent role in antimicrobial stewardship programs and infection-control programs in the health system. The total score of perception was significantly influenced by older age groups, postgraduate degrees, and experience of 6–10 years (p < 0.001). This study also showed that 65.4% of pharmacists always/often advise patients to continue the full course of antimicrobials, and 64.9% of them reported always/often considering clinical and safety parameters before dispensing antibiotics. The role of pharmacists was significantly influenced by the younger age group, females, higher degree in pharmacy, experience of 3–5 years, and medical complex pharmacy (p < 0.001).
Conclusion
Community pharmacists have a good perception toward antimicrobial stewardship programs, but their role is still limited. More efforts are needed to design better strategies for antimicrobial stewardship in community pharmacy.
{"title":"The role of community pharmacists and their perception towards antimicrobial stewardship in Baghdad, Iraq","authors":"Akram Alkadhimi, Omar T. Dawood, Amer H. Khan","doi":"10.1002/hcs2.92","DOIUrl":"https://doi.org/10.1002/hcs2.92","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This study aimed to assess the role of community pharmacists and their perception toward antimicrobial stewardship, in addition to identifying factors influencing their perception and practices in community pharmacy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional study was carried out among community pharmacists regarding antimicrobial stewardship. Convenience sampling was used to obtain the required sample from a community pharmacy in Baghdad. In total, 381 participants have completed the survey.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The majority of the participants (85.6%) strongly agreed/agreed that “antimicrobial stewardship programs reduce the problems of antibiotic resistance”; and 85.5% of them strongly agreed/agreed that community pharmacists required adequate training on antibiotics use. In addition, high percent of community pharmacists (88.4%) strongly agreed/agreed that pharmacists have a responsibility to take a prominent role in antimicrobial stewardship programs and infection-control programs in the health system. The total score of perception was significantly influenced by older age groups, postgraduate degrees, and experience of 6–10 years (<i>p</i> < 0.001). This study also showed that 65.4% of pharmacists always/often advise patients to continue the full course of antimicrobials, and 64.9% of them reported always/often considering clinical and safety parameters before dispensing antibiotics. The role of pharmacists was significantly influenced by the younger age group, females, higher degree in pharmacy, experience of 3–5 years, and medical complex pharmacy (<i>p</i> < 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Community pharmacists have a good perception toward antimicrobial stewardship programs, but their role is still limited. More efforts are needed to design better strategies for antimicrobial stewardship in community pharmacy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 2","pages":"114-123"},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.92","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140639600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Data clustering is an important field of machine learning that has applicability in wide areas, like, business analysis, manufacturing, energy, healthcare, traveling, and logistics. A variety of clustering applications have already been developed. Data clustering approaches based on self-organizing map (SOM) generally use the map dimensions (of the grid) ranging from 2 × 2 to 8 × 8 (4–64 neurons [microclusters]) without any explicit reason for using the particular dimension, and therefore optimized results are not obtained. These algorithms use some secondary approaches to map these microclusters into the lower dimension (actual number of clusters), like, 2, 3, or 4, as the case may be, based on the optimum number of clusters in the specific data set. The secondary approach, observed in most of the works, is not SOM and is an algorithm, like, cut tree or the other.
Methods
In this work, the proposed approach will give an idea of how to select the most optimal higher dimension of SOM for the given data set, and this dimension is again clustered into the lower actual dimension. Primary and secondary, both utilize the SOM to cluster the data and discover that the weight matrix of the SOM is very meaningful. The optimized two-dimensional configuration of SOM is not the same for every data set, and this work also tries to discover this configuration.
Results
The adjusted randomized index obtained on the Iris, Wine, Wisconsin diagnostic breast cancer, New Thyroid, Seeds, A1, Imbalance, Dermatology, Ecoli, and Ionosphere is, respectively, 0.7173, 0.9134, 0.7543, 0.8041, 0.7781, 0.8907, 0.8755, 0.7543, 0.5013, and 0.1728, which outperforms all other results available on the web and when no reduction of attributes is done in this work.
Conclusions
It is found that SOM is superior to or on par with other clustering approaches, like, k-means or the other, and could be used successfully to cluster all types of data sets. Ten benchmark data sets from diverse domains like medical, biological, and chemical are tested in this work, including the synthetic data sets.
{"title":"The novel hierarchical clustering approach using self-organizing map with optimum dimension selection","authors":"Kshitij Tripathi","doi":"10.1002/hcs2.90","DOIUrl":"https://doi.org/10.1002/hcs2.90","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Data clustering is an important field of machine learning that has applicability in wide areas, like, business analysis, manufacturing, energy, healthcare, traveling, and logistics. A variety of clustering applications have already been developed. Data clustering approaches based on self-organizing map (SOM) generally use the map dimensions (of the grid) ranging from 2 × 2 to 8 × 8 (4–64 neurons [microclusters]) without any explicit reason for using the particular dimension, and therefore optimized results are not obtained. These algorithms use some secondary approaches to map these microclusters into the lower dimension (actual number of clusters), like, 2, 3, or 4, as the case may be, based on the optimum number of clusters in the specific data set. The secondary approach, observed in most of the works, is not SOM and is an algorithm, like, cut tree or the other.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this work, the proposed approach will give an idea of how to select the most optimal higher dimension of SOM for the given data set, and this dimension is again clustered into the lower actual dimension. Primary and secondary, both utilize the SOM to cluster the data and discover that the weight matrix of the SOM is very meaningful. The optimized two-dimensional configuration of SOM is not the same for every data set, and this work also tries to discover this configuration.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The adjusted randomized index obtained on the Iris, Wine, Wisconsin diagnostic breast cancer, New Thyroid, Seeds, A1, Imbalance, Dermatology, Ecoli, and Ionosphere is, respectively, 0.7173, 0.9134, 0.7543, 0.8041, 0.7781, 0.8907, 0.8755, 0.7543, 0.5013, and 0.1728, which outperforms all other results available on the web and when no reduction of attributes is done in this work.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>It is found that SOM is superior to or on par with other clustering approaches, like, k-means or the other, and could be used successfully to cluster all types of data sets. Ten benchmark data sets from diverse domains like medical, biological, and chemical are tested in this work, including the synthetic data sets.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100601,"journal":{"name":"Health Care Science","volume":"3 2","pages":"88-100"},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hcs2.90","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140639601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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